diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk.srt
new file mode 100644
index 0000000000000000000000000000000000000000..f51f2118593b6e2773b9534283aeae4434bf4b43
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk.srt
@@ -0,0 +1,1410 @@
+1
+00:00:20,700 --> 00:00:23,400
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,400 --> 00:00:30,240
+وبركاته، ومرحباً بكم جميعاً. سنبدأ إن شاء الله اليوم
+
+3
+00:00:30,240 --> 00:00:35,660
+في تكملة محاضرة، المحاضرة السابقة التي كانت بعنوان
+
+4
+00:00:35,660 --> 00:00:44,420
+"Frame types and parts". اليوم، في المحاضرات السابقة
+
+5
+00:00:44,420 --> 00:00:52,300
+أخذنا الـ plastic material، الـ metal material،  و أيضاً
+
+6
+00:00:52,300 --> 00:00:57,940
+أخذنا الـ super mount. تمام، اليوم هنبدأ في الـ
+
+7
+00:00:57,940 --> 00:01:04,100
+combination frames. Combination frames are commonly frames
+
+8
+00:01:04,100 --> 00:01:10,100
+having a metal chassis and plastic top rims and
+
+9
+00:01:10,100 --> 00:01:17,440
+temples. إذا هي إطارات بتكون، اللي هو أكثر شيوعاً،
+
+10
+00:01:18,500 --> 00:01:24,940
+بتمتلك الهيكل العام بتاعها بيكون معدنيّ، تمام؟ يعني
+
+11
+00:01:24,940 --> 00:01:30,680
+بمعنى أن الإطار العام لها معدنيّ، بينما الـ top
+
+12
+00:01:30,680 --> 00:01:36,260
+لها، أو الـ top rim، إيش بيكون؟ Plastic، والـ temple
+
+13
+00:01:36,260 --> 00:01:43,580
+أو ما يسمى بالـ side، Plastic.
+
+14
+00:01:46,230 --> 00:01:51,750
+The chassis includes the eye wire and center or
+
+15
+00:01:51,750 --> 00:01:57,630
+bridge section. إذا عندنا الهيكل العام، إيش بيشمل؟
+
+16
+00:01:57,630 --> 00:02:01,930
+الـ eye wire، اللي هو عبارة عن الـ rim، صح ولا لأ؟
+
+17
+00:02:01,930 --> 00:02:08,270
+الحواف بتاعة العدسة، ومركز الـ bridge، برضه بيكون
+
+18
+00:02:08,270 --> 00:02:12,210
+في بعض الأحيان اللي هو plastic، أو قد يكون اللي هو
+
+19
+00:02:12,210 --> 00:02:19,700
+metal. طيب، إذا عشان نثبت المعلومة، غالباً بيكون عندنا
+
+20
+00:02:19,700 --> 00:02:24,500
+combination of frame. معنى الكلام أن في جزء منه
+
+21
+00:02:24,500 --> 00:02:29,400
+plastic، والجزء الآخر اللي هو metal. الـ plastic
+
+22
+00:02:29,400 --> 00:02:34,180
+ممكن يكون الـ top rim، بالإضافة للـ temple، بينما الـ
+
+23
+00:02:34,180 --> 00:02:38,040
+rim، ممكن يكون بعض الحواف، أو بعض الـ eye wire بتاعة
+
+24
+00:02:38,040 --> 00:02:42,960
+اللي هو الإطار، تمام؟ تقنياً، من ناحية اللي هو
+
+25
+00:02:42,960 --> 00:02:48,760
+تقنية، أي frame with a combination of metal and
+
+26
+00:02:48,760 --> 00:02:54,500
+plastic could be included in this category. إذا من
+
+27
+00:02:54,500 --> 00:03:01,660
+ناحية تقنية، أي إطار، تمام، فيه هناك اللي هو
+
+28
+00:03:01,660 --> 00:03:08,060
+combination ما بين الـ metal والـ plastic، يعتبر من
+
+29
+00:03:08,060 --> 00:03:16,160
+ضمن هذا التصنيف. Okay, as in the case of a frame with
+
+30
+00:03:16,160 --> 00:03:21,100
+plastic eye wires and metal bridge and temples.
+
+31
+00:03:21,100 --> 00:03:27,900
+اللي هيكون مثلاً عندنا الـ top rim بلاستيك، والـ side
+
+32
+00:03:27,900 --> 00:03:35,400
+هيكون بلاستيك، وباقي الأجزاء هتكون metal. Okay، إذا
+
+33
+00:03:35,400 --> 00:03:42,090
+التصنيف هذا بيمثل الـ figure هذا. Okay، زي عندنا اللي
+
+34
+00:03:42,090 --> 00:03:47,630
+هو مثلاً نظارة، ها هي. عندنا مثلاً الـ top part، أو
+
+35
+00:03:47,630 --> 00:03:52,230
+عفواً، الـ top اللي هو rim هذا plastic، الـ side إيش
+
+36
+00:03:52,230 --> 00:03:57,850
+يمثل، أو الـ temple، اللي هو plastic. تمام، عندنا الـ hand
+
+37
+00:03:57,850 --> 00:04:03,380
+يعتبر اللي هو إيه؟ rim. بقية الـ rim هذا يعتبر metal.
+
+38
+00:04:03,380 --> 00:04:09,420
+صح، عندنا الـ...الـ...الـ nose pad بلاستيك، لكن اللي
+
+39
+00:04:09,420 --> 00:04:13,200
+حامل الـ nose pad يعتبر اللي هو metal. تمام، فهذا
+
+40
+00:04:13,200 --> 00:04:22,040
+بنسميه combination of rim. طيب،
+
+41
+00:04:22,040 --> 00:04:23,220
+عندنا الـ half eye.
+
+42
+00:04:27,250 --> 00:04:33,090
+Half eyes are frames made especially for those who
+
+43
+00:04:33,090 --> 00:04:37,170
+need a reading correction, but not correction for
+
+44
+00:04:37,170 --> 00:04:45,030
+distance. هذا النوع من النظارات يُستخدم تحديداً مع
+
+45
+00:04:45,030 --> 00:04:49,050
+الأشخاص اللي بيكون عندهم presbyopia، تمام؟ يعني
+
+46
+00:04:49,050 --> 00:04:56,080
+يُستخدم مع الـ near correction. يعني بمعنى آخر أن
+
+47
+00:04:56,080 --> 00:05:01,980
+الشخص بيحاول أنه يضع العدسة، أو يضع النظارة، يريحها
+
+48
+00:05:01,980 --> 00:05:06,720
+على الأنف، تمام؟ واللي هو بتطلع على الـ near
+
+49
+00:05:06,720 --> 00:05:11,820
+vision. أما بيجي بتطلع للـ distance، بتطلع من وين؟ من
+
+50
+00:05:11,820 --> 00:05:19,820
+فوق النظارة، تمام؟ They are constructed... آلية
+
+51
+00:05:19,820 --> 00:05:23,960
+اللي هو الإنشاء تاعتها، أو طريقة البناء، أو طريقة
+
+52
+00:05:23,960 --> 00:05:29,740
+الصناعة تاعتها، to sit lower on the nose than
+
+53
+00:05:29,740 --> 00:05:35,600
+normal. يعني جلوسها دائماً بيكون أكثر من، من
+
+54
+00:05:35,600 --> 00:05:42,200
+العدسات العادية على منطقة الأنف، and are only half
+
+55
+00:05:42,200 --> 00:05:47,980
+as high as normal glasses. وهي تعتبر نصف اللي هو
+
+56
+00:05:47,980 --> 00:05:53,300
+إيش؟ نصف اللي هي العدسات العادية من ناحية الحجم.
+
+57
+00:05:53,300 --> 00:05:57,040
+حتى أنتم بتلاحظوا أن بعضهم بيستخدموا لها bucket
+
+58
+00:05:57,040 --> 00:06:00,560
+خاص، بيكون زي tube، أنبوب، تمام؟
+
+59
+00:06:02,560 --> 00:06:06,780
+allows the wearer to look over the top of the
+
+60
+00:06:06,780 --> 00:06:12,200
+glasses. هذا يسمح للمريض أنه ينظر من فوق النظارة،
+
+61
+00:06:12,200 --> 00:06:18,540
+لكن هنا وين؟ for distance، صحيح؟
+
+62
+00:06:18,540 --> 00:06:25,640
+يعني هو ليش بتطلع من فوق النظارة للبعيد؟ They may
+
+63
+00:06:25,640 --> 00:06:30,760
+be of a plastic, metal, or even nylon cord
+
+64
+00:06:30,760 --> 00:06:35,180
+construction. يعني ممكن هذه تكون metal، وممكن تكون
+
+65
+00:06:35,180 --> 00:06:40,280
+plastic، وممكن تكون اللي هي super mount، تمام، أو
+
+66
+00:06:40,280 --> 00:06:43,780
+بنسميها nylon cord. يعني كتصميم لها، يعني ممكن كل
+
+67
+00:06:43,780 --> 00:06:47,380
+هايتها تكون plastic، كلها تكون metal، كلها تكون nylon
+
+68
+00:06:47,380 --> 00:06:54,820
+cord. Okay, less common are half eyes for distant
+
+69
+00:06:54,820 --> 00:07:00,390
+vision, which allow the wearer to look under the
+
+70
+00:07:00,390 --> 00:07:05,710
+lenses for reading. في بعض من هذه العدسات ممكن
+
+71
+00:07:05,710 --> 00:07:09,930
+تُستخدم للـ distance، تمام؟ أما بدي أجي أطلع للـ
+
+72
+00:07:09,930 --> 00:07:14,210
+distance، بتطلع بالنضارة، أما بدي أجي أطلع للنير
+
+73
+00:07:14,210 --> 00:07:21,270
+بتطلع من تحت النظارة. Okay، طيب، إيش المميزة اللي
+
+74
+00:07:21,270 --> 00:07:26,010
+موجودة في الشكل هذا؟ عينكم أمامكم، إيش المميزة في
+
+75
+00:07:26,010 --> 00:07:28,230
+النظارة؟ مين يقدر يقولها؟
+
+76
+00:07:31,290 --> 00:07:36,090
+في هناك مميزة خاصة في النظارة، يعني ملحوظة بشكل
+
+77
+00:07:36,090 --> 00:07:45,790
+اللي هو significant، واضح، أو clear. اه، لأ،
+
+78
+00:07:45,790 --> 00:07:54,230
+أنا مش شايفها عادية، اه، تمام.
+
+79
+00:07:54,230 --> 00:07:58,530
+هذه حكينا أن هي كتصميم، لكن في حاجة هنا clear، واضحة
+
+80
+00:07:58,530 --> 00:07:58,810
+جداً.
+
+81
+00:08:03,520 --> 00:08:09,900
+ممتازة، أن موضوع الـ bridge جاي موازٍ لمن؟ للـ top
+
+82
+00:08:09,900 --> 00:08:15,320
+rim، صح ولا لأ؟ الآن لو أنتم طلعتوا في معظم النظارات،
+
+83
+00:08:15,320 --> 00:08:21,080
+بتلاحظوا أن الـ bridge جاي أسفل الـ top rim، أو في
+
+84
+00:08:21,080 --> 00:08:26,760
+مسافة بينهم، لكن هنا إيش جاي؟ الـ bridge موازٍ، أو على
+
+85
+00:08:26,760 --> 00:08:32,180
+محاذاة من؟ الـ top rim، تمام؟ هي عينكم أمامكم
+
+86
+00:08:32,180 --> 00:08:37,540
+بالصورة، أن كلهم على مستوى بعض، اللي هو الـ bridge، و
+
+87
+00:08:37,540 --> 00:08:46,520
+الـ top rim في الـ right، والـ top rim في الـ left. طيب،
+
+88
+00:08:46,520 --> 00:08:50,980
+عندنا الـ rimless، أو الـ semi rimless، أو الـ new
+
+89
+00:08:50,980 --> 00:08:51,480
+mount.
+
+90
+00:08:56,150 --> 00:08:59,070
+المصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+91
+00:08:59,070 --> 00:09:00,510
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+92
+00:09:00,510 --> 00:09:05,150
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+93
+00:09:05,150 --> 00:09:05,650
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+94
+00:09:05,650 --> 00:09:05,770
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+95
+00:09:05,770 --> 00:09:05,850
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+96
+00:09:05,850 --> 00:09:06,310
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+97
+00:09:06,310 --> 00:09:06,670
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+98
+00:09:06,670 --> 00:09:14,690
+للمصدر. إذا هذا النوع من العدسات، بتستطيع أنه تمسك
+
+99
+00:09:14,690 --> 00:09:19,130
+هذا النوع من النظارات، بتستطيع أنه تمسك العدسات
+
+100
+00:09:19,130 --> 00:09:25,050
+أمام العين، بعيداً عن من؟ الـ rim، ما فيش فيها أي rim، أو
+
+101
+00:09:25,050 --> 00:09:29,250
+عن الـ nylon cord، أي بمعنى اللي هو الـ string، الخيط.
+
+102
+00:09:29,250 --> 00:09:33,910
+طيب، كيف بتمسكها؟ من خلال اللي هو الـ screw، يعني
+
+103
+00:09:33,910 --> 00:09:39,700
+بمعنى اللي هو البراغي، أو اللي هو بلاطة اللي هي
+
+104
+00:09:39,700 --> 00:09:46,060
+بتثبت من؟ العدسات في مكانها. إذا often screws are
+
+105
+00:09:46,060 --> 00:09:50,960
+used. غالباً بتم استخدام اللي هو براغي لعملية
+
+106
+00:09:50,960 --> 00:09:56,780
+التثبيت. في منها أنواع مختلفة في عملية التثبيت، أما
+
+107
+00:09:56,780 --> 00:10:01,960
+بتكون cement، وهي هذه نادرة الاستخدام، يعني من خلال
+
+108
+00:10:01,960 --> 00:10:09,040
+اللي هو ملصق، تمام، أو clamps. إيش معنى clamps؟ ملاقط،
+
+109
+00:10:09,040 --> 00:10:14,500
+تمام، يعني بتتم تثبيتها من خلال اللي هو ملاقط، and
+
+110
+00:10:14,500 --> 00:10:19,720
+plastic اللي هو post. عن طريق اللي هو قطع بلاستيكية
+
+111
+00:10:19,720 --> 00:10:25,160
+بنكبسها عشان نثبت اللي هو العدسة. have been used.
+
+112
+00:10:25,160 --> 00:10:31,820
+إذا، أما من خلال الـ cement، أو الـ plastic post، أو الـ
+
+113
+00:10:31,820 --> 00:10:40,440
+clamps. most rimless mountings have two areas of
+
+114
+00:10:40,440 --> 00:10:45,480
+attachment per lens: one nasally and one
+
+115
+00:10:45,480 --> 00:10:52,590
+temporally. الآن في هنا يا جماعة، إيه؟ مساحة، أو area،
+
+116
+00:10:52,590 --> 00:10:58,490
+الـ area هذه من الـ center، أو من الـ nose، وأيضاً من الـ
+
+117
+00:10:58,490 --> 00:11:05,170
+temporal. شو بتعمل؟ بتثبت العدسة في مكانها، يعني هنا
+
+118
+00:11:05,170 --> 00:11:09,890
+أنا بعمل اللي هو عملية إيش؟ شد اللي هو الـ screw، أو
+
+119
+00:11:09,890 --> 00:11:15,280
+اللي هو موضوع الـ plastic post. من هنا بنشدها من اللي
+
+120
+00:11:15,280 --> 00:11:21,240
+هو الـ temporal والـ nasal. rimless mountings are
+
+121
+00:11:21,240 --> 00:11:26,840
+sometimes referred to as three-piece mountings.
+
+122
+00:11:26,840 --> 00:11:32,620
+الآن لو أنا رفعت العدسات، فكم جزء بتكون منه؟ ثلاثة.
+
+123
+00:11:32,620 --> 00:11:39,980
+عندنا الـ side الأول، أو الـ temporal الأول، الثاني، والـ
+
+124
+00:11:39,980 --> 00:11:46,530
+bridge. صح، لأن أنا رفعت العدسات، فإيش بنسميها؟ الـ
+
+125
+00:11:46,530 --> 00:11:52,630
+three-piece mountings. أن ثلاث قطع بتكون النظارة.
+
+126
+00:11:52,630 --> 00:11:53,810
+واضحة الفكرة؟
+
+127
+00:12:09,690 --> 00:12:14,870
+Semi-rimless mountings are similar to the rimless
+
+128
+00:12:14,870 --> 00:12:23,090
+except for a metal reinforcing arm. السيمي ريملس هي
+
+129
+00:12:23,090 --> 00:12:28,970
+شبيهة بمين؟ بالريملس، اللي هو mounting، لكن فيها
+
+130
+00:12:28,970 --> 00:12:33,590
+إضافة واحدة، بنسميها الـ metal reinforcing. هي
+
+131
+00:12:33,590 --> 00:12:39,630
+المنطقة هذه كلها، الـ metal reinforcing. إيش الهدف
+
+132
+00:12:39,630 --> 00:12:46,770
+منها؟ أنه تعزيز، وتقوية النظارة، يعني بتقوي، وبتثبت
+
+133
+00:12:46,770 --> 00:12:53,150
+العدسات أكثر، وبتعززهم في مكانهم، okay؟ which
+
+134
+00:12:53,150 --> 00:12:58,730
+follows. هيتبعها the upper posterior surface of the
+
+135
+00:12:58,730 --> 00:13:06,440
+lens، and joins the center piece of the frame to the
+
+136
+00:13:06,440 --> 00:13:10,480
+end piece. هيتبعها أيضاً مناطق اللي هي تثبيت من
+
+137
+00:13:10,480 --> 00:13:14,620
+العدسة في اللي هو الـ end piece، سواء في الـ temporal،
+
+138
+00:13:14,620 --> 00:13:21,900
+أو الـ nasal side. لكن هنا الشغل اللي هي مخالفة للـ
+
+139
+00:13:21,900 --> 00:13:27,820
+rimless mounting. هي إضافة الـ reinforce، تمام، اللي
+
+140
+00:13:27,820 --> 00:13:33,260
+بتعمل عملية تثبيت، وتعزيز العدسة. Okay، the
+
+141
+00:13:33,260 --> 00:13:37,080
+centerpiece of a mounting consists of. إيش
+
+142
+00:13:37,080 --> 00:13:42,700
+مكوناتها؟ في عندنا الـ bridge، تمام، أيضاً في عندنا الـ
+
+143
+00:13:42,700 --> 00:13:48,580
+pad arms، اللي هي الـ pad arms، اللي بتمسك من؟ الـ
+
+144
+00:13:48,580 --> 00:13:53,460
+nose pad، وبالإضافة لـ اللي هي الـ nose pads. يعني
+
+145
+00:13:53,460 --> 00:13:59,440
+عملية التساق الـ nose pads، ما بتكون بشكل مباشر مع
+
+146
+00:13:59,440 --> 00:14:04,790
+مين؟ مع الـ bridge. في هناك اللي هو عبارة عن pad arms،
+
+147
+00:14:04,790 --> 00:14:11,390
+أو سميناها في المحاضرة السابقة، إيش؟ pad
+
+148
+00:14:11,390 --> 00:14:21,310
+guard، صح ولا لأ؟ تمام.
+
+149
+00:14:21,310 --> 00:14:27,410
+يعني بتعمل عملية اللي هو تعزيز، وتثبيت للعدسات.
+
+150
+00:14:45,720 --> 00:14:52,800
+الآن لو لاحظت، يعني العدسة كيف مثبتة؟ فقط من منطقة
+
+151
+00:14:52,800 --> 00:14:59,030
+الـ nasal، صح ولا لأ؟ يعني هنا الـ screw اللي مثبت
+
+152
+00:14:59,030 --> 00:15:05,510
+العدسة فقط من اللي هو الـ nose. They are seldom
+
+153
+00:15:05,510 --> 00:15:10,110
+seen today. هي نادرة الاستخدام حالياً، يعني لا
+
+154
+00:15:10,110 --> 00:15:16,450
+تُستخدم بشكل اللي هو شائع. ليش طيب؟ لأن مصادر القوة
+
+155
+00:15:16,450 --> 00:15:20,850
+لتثبيت العدسة ضعيفة، صح ولا لأ؟ يعني العدسة ممكن
+
+156
+00:15:20,850 --> 00:15:22,270
+بسهولة أن تسقط.
+
+157
+00:15:41,570 --> 00:15:50,290
+العدسات كلها مرتبطة في الـ bridge area، صح ولا لأ؟
+
+158
+00:15:52,760 --> 00:15:56,860
+أو الـ temple، أو الـ side، بيكون اللي هو مرتبط في
+
+159
+00:15:56,860 --> 00:16:02,920
+منطقة الـ metal arm. يعني زي اللي هو ذراع، تمام، ممسك
+
+160
+00:16:02,920 --> 00:16:08,320
+اللي هو العدسة. هذا يمتد لوين؟ لآخر اللي هو الـ ear،
+
+161
+00:16:08,320 --> 00:16:14,860
+يعني لنهاية اللي هو إيش؟ النظارة، أو نهاية اللي هو
+
+162
+00:16:14,860 --> 00:16:19,080
+الـ metal، أو الـ side بتاعة النظارة. إذا مرة ثانية،
+
+163
+00:16:19,080 --> 00:16:26,000
+عندنا بداية أن، المنطقة الـ nasal، بتكون مرتبطة بالـ
+
+164
+00:16:26,000 --> 00:16:32,180
+bridge، ودي واضحة، بينما عندنا الـ temple، أو الـ side،
+
+165
+00:16:32,180 --> 00:16:38,440
+مرتبط بـ metal arm، عشان أنه تنتهي العدسة في نهاية
+
+166
+00:16:38,440 --> 00:16:42,800
+اللي هو من الوجه، أو في نهاية اللي هو الأذن.
+
+167
+00:16:46,760 --> 00:16:51,520
+Thus, or so, there is only one point of attachment
+
+168
+00:16:51,520 --> 00:16:55,200
+per lens. ملاحظين أن احنا في عندنا نقطة واحدة
+
+169
+00:16:55,200 --> 00:16:59,660
+لعملية إيش؟ شد العدسة، اللي هي من وين؟ من الناصر.
+
+170
+00:16:59,660 --> 00:17:05,820
+Okay, differentiate between the three. يعني الثلاث
+
+171
+00:17:05,820 --> 00:17:09,720
+مسميات اللي ذكرناهم، سواء الـ rimless، أو الـ semi
+
+172
+00:17:09,720 --> 00:17:16,390
+rimless، أو الـ new mounting. الآن الموزعين، أو شركات
+
+173
+00:17:16,390 --> 00:17:20,070
+النظارات، بيسموا الثلاث عبارة عن rimless mounting.
+
+174
+00:17:20,070 --> 00:17:24,390
+يعني ما بيميزوا ما بين الثلاث. واضحة الفكرة؟ يعني
+
+175
+00:17:24,390 --> 00:17:28,210
+الآن لو أنتم في عندكم نظارة semi rimless، على طول
+
+176
+00:17:28,210 --> 00:17:32,110
+بيسموها rimless. الـ new mount، أيضاً
+
+223
+00:21:54,870 --> 00:22:03,370
+اللي بمعنى عدسات المريض اللي هي الأصلية، تمام. okay
+
+224
+00:22:22,370 --> 00:22:31,510
+الآن، مكتفي في ذلك، قال لك أنه ممكن نعمل إيش؟ نوتش
+
+225
+00:22:31,510 --> 00:22:32,430
+تمام
+
+226
+00:22:40,830 --> 00:22:45,710
+و ممكن أيضا اللي هو نعمل زي اللي هو إيه؟ الـ screw
+
+227
+00:22:45,710 --> 00:22:52,130
+يعني النضارة نفسها، اللي هي الـ poly grip، أنه يكون فيها
+
+228
+00:22:52,130 --> 00:22:56,590
+notch وفي نفس الوقت إيش كمان يثبتها؟ اللي هو grip
+
+229
+00:22:56,590 --> 00:23:00,870
+يثبتها، اللي هو الـ screw، يعني هنا هيكون الـ screw
+
+230
+00:23:00,870 --> 00:23:11,560
+تمام، زاد الـ notch، كنا مش، إحنا حكينا أنه سهل اللي هو
+
+231
+00:23:11,560 --> 00:23:15,500
+السقوط من خلال اللي هو الـ notch، فكيف أنا بدي
+
+232
+00:23:15,500 --> 00:23:20,760
+أثبتها أكثر؟ بعملها ثقوب، ومن خلال هذه الثقوب أضع
+
+233
+00:23:20,760 --> 00:23:25,940
+اللي هو الـ screw، يعني هسمح بالمحافظة على هذه
+
+234
+00:23:25,940 --> 00:23:32,760
+العدسات، تمام؟ to lengthen عشان يقرض لي الـ stability
+
+235
+00:23:32,760 --> 00:23:37,620
+الثبات لهذه الـ mounting أو لهذا النوع من اللي هو
+
+236
+00:23:37,620 --> 00:23:54,950
+العدسات، تمام. أقرب
+
+237
+00:23:54,950 --> 00:23:57,610
+bridge area construction
+
+238
+00:24:04,500 --> 00:24:10,140
+can be constructed of either plastic or metal
+
+239
+00:24:10,140 --> 00:24:15,420
+construction، يعني بمعنى اللي هو صناعة الـ bridge
+
+240
+00:24:15,420 --> 00:24:21,760
+area، صناعتها ممكن يكون من إيش؟ إما الـ plastic أو
+
+241
+00:24:21,760 --> 00:24:29,320
+اللي هو يكون الـ metal. طيب، فكرتكم، مين الأكثر شيوعا؟
+
+242
+00:24:29,320 --> 00:24:34,170
+الـ plastic ولا الـ metal؟ ممتازين. إذا الأكثر شيوعا
+
+243
+00:24:34,170 --> 00:24:48,070
+هي تعتبر الـ Plastic Bridge Because of
+
+244
+00:24:48,070 --> 00:24:53,770
+the variety of nose shapes، أنه أشكال اللي هو الأنف
+
+245
+00:24:53,770 --> 00:24:57,170
+بتكون مختلفة، صح ولا لأ؟
+
+246
+00:24:59,880 --> 00:25:06,500
+there is also quite an assortment of bridge
+
+247
+00:25:06,500 --> 00:25:11,800
+construction in both materials. أيضا هناك في مجموعة
+
+248
+00:25:11,800 --> 00:25:17,040
+من الاختلافات في اللي هو الأشكال المتعلقة بشكل مين؟
+
+249
+00:25:17,040 --> 00:25:22,960
+الـ bridge، يعني نتيجة اختلاف الـ nose لاللي هو البشر
+
+250
+00:25:22,960 --> 00:25:28,440
+في هناك مجموعة متنوعة، أو مجموعة مختلفة من أشكال
+
+251
+00:25:28,440 --> 00:25:34,280
+مين؟ الـ nose pad، طبعا لكل الـ material، سواء الـ
+
+252
+00:25:34,280 --> 00:25:40,200
+plastic أو اللي هو الـ metal. الـ plastic bridge أو
+
+253
+00:25:40,200 --> 00:25:47,700
+الـ metal bridge. نيجي لـ الـ plastic bridge، الـ bridge
+
+254
+00:25:47,700 --> 00:25:53,860
+area of a plastic frame is performed، إيش معناه
+
+255
+00:25:53,860 --> 00:25:55,120
+كلمة performed؟
+
+256
+00:25:57,480 --> 00:26:01,720
+بتم اللي هو عملها، أو اللي هو تجهيزها، أو إحضارها
+
+257
+00:26:01,720 --> 00:26:07,960
+and sits directly on the bridge of the nose، بحيث
+
+258
+00:26:07,960 --> 00:26:12,260
+أنه تكون ملتصقة بشكل اللي هو مباشر على مين؟ على الـ
+
+259
+00:26:12,260 --> 00:26:20,500
+nose، تمام؟ إذا مرة أخرى، الـ bridge area يتم اللي هو
+
+260
+00:26:20,500 --> 00:26:26,680
+صناعتها بحيث إنه تكون بشكل مباشر موجودة على الأنف.
+
+261
+00:26:27,400 --> 00:26:31,220
+Okay, it's
+
+262
+00:26:31,220 --> 00:26:36,800
+important than in picking out، إيش معنى picking
+
+263
+00:26:36,800 --> 00:26:43,960
+out؟ بالضبط، اللي هو التقاط. a plastic frame that
+
+264
+00:26:43,960 --> 00:26:48,980
+the frame fit the nose well، يعني من السهل أني
+
+265
+00:26:48,980 --> 00:26:55,640
+ألتقط الـ bridge center المناسب لمين؟ للأنف بتاع
+
+266
+00:26:55,640 --> 00:27:01,440
+الشخص. Since adjustments to this part of the frame
+
+267
+00:27:01,440 --> 00:27:05,880
+are extremely difficult، لأن هنا في مشكلة، أن لو أنا
+
+268
+00:27:05,880 --> 00:27:11,900
+اخترت الـ bridge لـ صين أو لـ صاد، بيصبح من الصعب إيش؟
+
+269
+00:27:11,900 --> 00:27:17,560
+تغيره. زي الآن، لو مثلا جاءك عدسة على المركز، كانت
+
+270
+00:27:17,560 --> 00:27:23,600
+مقصورة من المنتصف، من الصعب أن أغير إيش؟ الـ bridge، صح
+
+271
+00:27:23,600 --> 00:27:26,940
+ولا لأ؟ إذا هذا يعتبر extremely difficult، يعني
+
+272
+00:27:26,940 --> 00:27:33,780
+نوعا ما أنه صعب في عملية اللي هو الاستبدال. Bridge
+
+273
+00:27:33,780 --> 00:27:40,060
+adjustments for certain plastics، إيش المواد اللي
+
+274
+00:27:40,060 --> 00:27:45,440
+مصنوعة منها الـ bridge الـ plastic؟ في عندنا نايلون،
+
+275
+00:27:45,440 --> 00:27:52,560
+في عندنا الكربون fiber، and Polyamide are not
+
+276
+00:27:52,560 --> 00:27:58,460
+possible، يعني هذه المواد اللي بتتم من خلالها تصنيع
+
+277
+00:27:58,460 --> 00:28:04,560
+اللي هو الـ bridge center، التلاتة الآن بيصبح من
+
+278
+00:28:04,560 --> 00:28:09,520
+اللي هو صعب عملية استبدالها بسهولة من خلال اللي هو
+
+279
+00:28:09,520 --> 00:28:15,720
+bridge آخر، أو غير محتمل اللي هو عملية الاستبدال
+
+280
+00:28:15,720 --> 00:28:16,100
+لها.
+
+281
+00:28:22,060 --> 00:28:28,100
+The saddle bridge، يعني شكل الـ bridge زي بيكون اللي
+
+282
+00:28:28,100 --> 00:28:33,860
+هو السرج بتاع الجمل، تمام؟ والآن، اللي معظمهم
+
+283
+00:28:33,860 --> 00:28:38,240
+بيكون عندهم اللي هو plastic bridge، بيكون شكله زي
+
+284
+00:28:38,240 --> 00:28:44,830
+اللي هو سرج الجمل، is shaped like a saddle in a
+
+285
+00:28:44,830 --> 00:28:49,310
+smooth curve. الآن، اللي لابسين نضارات، اعمل على اللي هو
+
+286
+00:28:49,310 --> 00:28:54,970
+الـ bridge، هتلاقي أنه smooth من فوق، smooth اللي هو
+
+287
+00:28:54,970 --> 00:28:58,650
+curve، في منحنى ناعم، صح ولا لأ؟ زي اللي هو الـ curve
+
+288
+00:29:01,700 --> 00:29:06,380
+and follows the bridge of the nose، طيب، هذا المنحنى
+
+289
+00:29:06,380 --> 00:29:14,120
+الناعم، أو اللي هو الـ ... آه، الـ smooth، إيش هيتبعه؟
+
+290
+00:29:14,120 --> 00:29:17,740
+هيتبعه اللي هو منطقة الـ bridge اللي بتكون directly
+
+291
+00:29:17,740 --> 00:29:22,760
+to the nose، بشكل مباشر، ملتصق مع مين؟ مع الـ nose
+
+292
+00:29:24,900 --> 00:29:30,660
+بمعنى آخر، أنه سيتكون من منطقة top part، ومن منطقة
+
+293
+00:29:30,660 --> 00:29:38,580
+directly to the nose، هذه منطقة كلها، وهي عبارة
+
+294
+00:29:38,580 --> 00:29:49,980
+عن السدل، وهذه المنطقة اللي بتكون directly to
+
+295
+00:29:49,980 --> 00:29:50,480
+the nose.
+
+296
+00:29:54,450 --> 00:30:14,830
+أنت بتلاقي أنه ملتصقة مع الـ nose، okay. الآن
+
+297
+00:30:14,830 --> 00:30:19,610
+يا جماعة، العظمة البارزة في الأنف، هذه بيسموها crest،
+
+298
+00:30:20,690 --> 00:30:25,870
+اللي هي قمة العظمة، اللي هي قمة الأنف، بنسميها
+
+299
+00:30:25,870 --> 00:30:32,290
+اللي هي crest. الآن، إحنا ليش بنعمل الصدل اللي هو
+
+300
+00:30:32,290 --> 00:30:37,460
+بيمثل وين؟ بيكون موجود على الـ crest؟ والجزء الآخر
+
+301
+00:30:37,460 --> 00:30:41,940
+بيكون موجود وين؟ على باقي الأنف. طب إحنا ليش بنعمل
+
+302
+00:30:41,940 --> 00:30:47,120
+هذه القضية؟ قال لي عشان نخفف من وزن العدسات، أو
+
+303
+00:30:47,120 --> 00:30:52,340
+نوزع اللي هو نعمل express، اللي هو توزيع لمين؟
+
+304
+00:30:52,340 --> 00:30:56,660
+للوزن بتاع العدسات، بحيث أنه مايكونش العدسة تقع
+
+305
+00:30:56,660 --> 00:31:01,690
+ثقيلة فقط على اللي هو مين؟ منطقة واحدة. فبنعمل اللي هو
+
+306
+00:31:01,690 --> 00:31:07,710
+كـ توزيع لقوة، أو توزيع لوزن العدسات في الـ right والـ
+
+307
+00:31:07,710 --> 00:31:13,950
+left. هذا الهدف من ذلك، okay؟
+
+308
+00:31:13,950 --> 00:31:19,490
+الآن هم إيش عملوا؟ عملوا قضية مهمة، أنه modified،
+
+309
+00:31:19,490 --> 00:31:24,090
+إيش معنى modified؟ تعديل، اللي هو modification، مئة
+
+310
+00:31:24,090 --> 00:31:30,600
+في المئة، يعني بمعنى اللي هو تطوير، صح؟ In the
+
+311
+00:31:30,600 --> 00:31:37,120
+modified saddle, the bridge area looks much the
+
+312
+00:31:37,120 --> 00:31:43,500
+same as the saddle bridge does when viewed from
+
+313
+00:31:43,500 --> 00:31:44,100
+the front.
+
+314
+00:31:48,040 --> 00:31:53,160
+الآن، لو إحنا طلعنا .. لو أنا لابس النضارة، وطلعنا
+
+315
+00:31:53,160 --> 00:31:58,620
+من منطقة الـ front، هتلاقي أن النضارة شكلها بالضبط
+
+316
+00:31:58,620 --> 00:32:04,040
+زي مين؟ الـ saddle bridge، زي الشكل الأول، لو اطلعت من
+
+317
+00:32:04,040 --> 00:32:09,140
+منطقة الـ front، ولكن لو اطلعت من منطقة اللي هو الـ
+
+318
+00:32:09,140 --> 00:32:14,470
+back، هتلاحظ أنه فيه هناك إيش؟ تقارب كبير ما بين الـ
+
+319
+00:32:14,470 --> 00:32:18,910
+bridge وما بين العدستين. إيه؟ طيب، الشكل عندكم؟
+
+320
+00:32:18,910 --> 00:32:24,730
+تمام؟ إذا in the modified saddle، في عملية اللي هو
+
+321
+00:32:24,730 --> 00:32:31,990
+تعديل السرج، الـ bridge area looks much the same as
+
+322
+00:32:31,990 --> 00:32:37,710
+the saddle bridge، من المنطقة الأمامية، does when
+
+323
+00:32:37,710 --> 00:32:41,210
+viewed from the front، لكن أما أنا بتطلع من الـ back،
+
+324
+00:32:41,210 --> 00:32:48,390
+هيكون مختلف. The difference is that there are nose
+
+325
+00:32:48,390 --> 00:32:54,490
+pads that are part of the back of the bridge. الآن
+
+326
+00:32:54,490 --> 00:32:58,650
+إيش ملاحظين؟ الـ nose pad، جزء من اللي هو الـ bridge
+
+327
+00:32:58,650 --> 00:33:03,410
+من المنطقة الخلفية لمين؟ للنضارة.
+
+328
+00:33:04,410 --> 00:33:08,370
+يعني الآن مرة ثانية، لو أنا لابس النضارة، هتلاحظ
+
+329
+00:33:08,370 --> 00:33:13,630
+من الـ front view، أنه كأنه مشابه للـ saddle bridge.
+
+330
+00:33:13,630 --> 00:33:17,890
+الآن، لو إحنا مسكنا النضارة وطلعنا من الـ back،
+
+331
+00:33:17,890 --> 00:33:22,250
+هتلاحظ أن الـ nose pad مرتبط بشكل مباشر مع مين؟ مع
+
+332
+00:33:22,250 --> 00:33:27,670
+الـ bridge، okay؟ وبرضه الهدف من ذلك، عملية اللي هو
+
+333
+00:33:27,670 --> 00:33:34,160
+توزيع الـ weight اللي هو للعدسات على الإطار بشكل
+
+334
+00:33:34,160 --> 00:33:37,880
+كامل.
+
+335
+00:33:37,880 --> 00:33:42,660
+These pads help to carry some of the weight of
+
+336
+00:33:42,660 --> 00:33:46,780
+the frame، إيش معنى carry؟ أنه بتحمل اللي هو الوزن
+
+337
+00:33:46,780 --> 00:33:51,660
+على اللي هو الإطار، بتعمل عملية حمل للوزن.
+
+338
+00:33:57,650 --> 00:34:04,470
+الآن، الشكل هذا إيش بيديكم؟ إيش شكل
+
+339
+00:34:04,470 --> 00:34:09,710
+بتاع الـ bridge هذا؟ فاكرين المفتاح القديم بتاع
+
+340
+00:34:09,710 --> 00:34:14,670
+الدور؟ نفس المفتاح القديم، صح ولا لأ؟ الـ key hole
+
+341
+00:34:14,670 --> 00:34:18,810
+بتاعه، تمام؟ ماذا فاكرين المفتاح القديم؟ نفس الشيء.
+
+342
+00:34:18,810 --> 00:34:24,690
+إذا the key hole bridge is shaped like an old
+
+343
+00:34:24,690 --> 00:34:29,370
+fashioned key hole، يعني شكل اللي هو الـ bridge بيكون
+
+344
+00:34:29,370 --> 00:34:34,050
+مشابه أو مطابق لشكل اللي هو المفتاح القديم، أو
+
+345
+00:34:34,050 --> 00:34:40,410
+مفتاح الطراز القديم. at the top the bridge flares
+
+346
+00:34:40,410 --> 00:34:45,690
+out slightly. الآن، في المنطقة اللي هي الـ top، هنا
+
+347
+00:34:45,690 --> 00:34:52,950
+بتلاحظ أنه ما فيش احتكاك اللي هو مباشر مع مين؟ مع
+
+348
+00:34:52,950 --> 00:34:58,260
+الـ crest، يعني هتلاحظ إن لحد ما تنزل النضارة، بيبدأ
+
+349
+00:34:58,260 --> 00:35:02,300
+هناك فيه إيش؟ اللي هو احتكاك ما بين الـ bridge وما
+
+350
+00:35:02,300 --> 00:35:05,960
+بين مين؟ الـ keyhole أو الـ bridge.
+
+351
+00:35:09,590 --> 00:35:16,570
+البرج يبقى على صفحة النظارة ولكن ليس على الأكرسك.
+
+352
+00:35:16,570 --> 00:35:23,050
+الآن، عندما تنزل النضارة، هتلاحظ أن التوزيع بتاع الـ
+
+353
+00:35:23,050 --> 00:35:28,030
+frame كله، مش هيكون فقط وين؟ على الـ crest، اللي هي
+
+354
+00:35:28,030 --> 00:35:33,490
+قمة العظمة، تحت النظارة، لكن موزع على الـ two parts of
+
+355
+00:35:33,490 --> 00:35:35,410
+the nose، من الـ right ومن الـ left.
+
+356
+00:35:43,980 --> 00:35:51,400
+Okay, metal bridge. The bridge commonly used in
+
+357
+00:35:51,400 --> 00:35:58,440
+metal frames is the pad bridge، يعني الأكثر اللي هو
+
+358
+00:35:58,440 --> 00:36:02,760
+شيوعا من ناحية الاستخدام في اللي هو الـ metal
+
+359
+00:36:02,760 --> 00:36:11,580
+frames، هو عبارة عن مين؟ الـ pad bridge، تمام؟ In the
+
+360
+00:36:11,580 --> 00:36:17,160
+pad bridge, nose pads are attached to the frame by
+
+361
+00:36:17,160 --> 00:36:22,980
+metal pad arms. الآن، الـ attached اللي هو الربط
+
+362
+00:36:22,980 --> 00:36:26,880
+بتاعه، هيكون لازم مرتبط بيه اللي هو الـ pad arm،
+
+363
+00:36:26,880 --> 00:36:30,520
+يعني مش هيكون اللي هو لحاله، يعني لازم يكون مرتبط
+
+364
+00:36:30,520 --> 00:36:35,440
+أول حاجة، الـ bridge، بقطعة معدنية اللي بتمسك مين؟ الـ
+
+365
+00:36:35,440 --> 00:36:36,120
+nose pad.
+
+366
+00:36:38,790 --> 00:36:44,650
+مرة ثانية، الآن لازم أن يكون الـ bridge هذا المعدني
+
+367
+00:36:44,650 --> 00:36:50,830
+مرتبط في مين؟ الـ pad arm، الـ pad arm هتكون ماسكة
+
+368
+00:36:50,830 --> 00:36:58,430
+مين؟ النضارات. okay. in this case the pad alone
+
+369
+00:36:58,430 --> 00:37:01,950
+support the weight of the glasses، أيضا اللي هو
+
+370
+00:37:01,950 --> 00:37:08,290
+بيعمل توزيع للوزن وين؟ وزن اللي هو النضارة، تمام؟
+
+371
+00:37:08,290 --> 00:37:13,310
+يعني الـ weight هيكون غير متساوي، بمعنى آخر، أنه
+
+372
+00:37:13,310 --> 00:37:20,310
+هيكون فيه توزيع على كل اللي هو مين؟ النضارة. when a
+
+373
+00:37:20,310 --> 00:37:25,030
+metal frame is equipped with a clear plastic
+
+374
+00:37:25,030 --> 00:37:29,910
+saddle type bridge, the bridge type is referred to
+
+375
+00:37:29,910 --> 00:37:35,230
+as a comfort bridge، يعني ممكن يكون اللي هو تجهيز
+
+376
+00:37:36,030 --> 00:37:43,030
+metal frame، يعني كله معدن مع اللي هو plastic
+
+377
+00:37:43,030 --> 00:37:48,770
+bridge، يعني الآن عندي إطار كله معدن، فقط الـ bridge
+
+378
+00:37:48,770 --> 00:37:53,430
+كان هو إيش؟ plastic. في هذه الحالة، اسم الـ bridge
+
+379
+00:37:53,430 --> 00:37:56,170
+إيش بنسميه؟ comfort bridge.
+
+380
+00:37:59,290 --> 00:38:03,450
+الآن، مرة ثانية، عندنا إطار كله معدن، فقط الـ bridge
+
+381
+00:38:03,450 --> 00:38:08,230
+كان من مادة بلاستيكية، سواء النيلون، أو سواء اللي هو
+
+382
+00:38:08,230 --> 00:38:15,650
+بعض المواد اللي هو الـ fiber، تمام؟ الآن، فقط الـ
+
+383
+00:38:15,650 --> 00:38:19,910
+bridge كان عبارة عن الـ plastic، هذا النوع من الـ
+
+384
+00:38:19,910 --> 00:38:21,810
+bridge، بنسميه comfort bridge.
+
+385
+00:38:26,740 --> 00:38:33,500
+Metal and rimless frames were, and sometimes still
+
+386
+00:38:33,500 --> 00:38:39,020
+are, constructed with a metal saddle bridge, and
+
+387
+00:38:39,020 --> 00:38:46,780
+enjoyed widespread use for a period of history. إذن
+
+388
+00:38:46,780 --> 00:38:53,260
+عندنا الميتل والريملس كانوا
+
+389
+00:38:54,150 --> 00:38:58,030
+ومازالوا الآن بعض الأحيان، اللي هو كتركيب، اللهم
+
+390
+00:38:58,030 --> 00:39:03,990
+باستخدموا مين؟ الـ metal اللي هو saddle، تمام؟ وكان اللي
+
+391
+00:39:03,990 --> 00:39:12,070
+هو عبر التاريخ منتشر اللي هو بشكل واسع. هي
+
+392
+00:39:12,070 --> 00:39:19,530
+عندنا الإطار أنه هيكون rimless بالإضافة أنه metal،
+
+393
+00:39:20,020 --> 00:39:25,700
+واللي هو شكله زي اللي هو saddle، تمام؟ هيكون بشكل
+
+394
+00:39:25,700 --> 00:39:30,780
+اللي هو كان، يعني منتشر بشكل اللي هو واسع في عبر
+
+395
+00:39:30,780 --> 00:39:36,300
+اللي هو التاريخ. it may yet appear exactly as
+
+396
+00:39:36,300 --> 00:39:42,460
+before, or decoratively in conjunction with nose
+
+397
+00:39:42,460 --> 00:39:48,760
+pads. يعني حاليا أنه متوفر، لكن لابد أن يكون مرتبط مع
+
+398
+00:39:48,760 --> 00:39:55,060
+مين؟ مع الـ nose pads، تمام؟ يعني مش لحاله، يعني لازم
+
+399
+00:39:55,060 --> 00:39:59,
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.json b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..47c278d37ed77c0ce8b7be87c458ee71de78dd11
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 4806, "start": 20.7, "end": 48.06, "text": "بسم الله الرحمن الرحيم السلام عليكم ورحمة الله وبركاته ومرحبا لكم جميعا سنبدأ ان شاء الله اليوم في تكملة محاضرة المحاضرة السابقة اللي كانت بعنوان frame types and parts اليوم في المحاضرات السابقة أخدنا ال plastic material", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 21136, 37440, 25894, 24793, 4032, 2288, 35571, 3660, 21984, 4032, 26890, 4117, 9307, 3224, 4032, 29973, 5016, 3555, 995, 5296, 24793, 10874, 2304, 40228, 995, 8608, 1863, 44510, 10721, 16472, 13412, 16606, 21984, 45595, 20498, 8978, 6055, 24793, 37977, 3714, 5016, 46958, 25720, 9673, 5016, 46958, 25720, 21136, 16758, 28671, 13672, 1829, 25961, 2655, 45030, 1863, 2407, 7649, 3920, 3467, 293, 3166, 45595, 20498, 8978, 9673, 5016, 46958, 2288, 9307, 21136, 16758, 28671, 5551, 9778, 3215, 8315, 2423, 5900, 2527], "avg_logprob": -0.16536458995607164, "compression_ratio": 1.8366336633663367, "no_speech_prob": 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"word": " يعني", "probability": 0.894287109375}, {"start": 601.38, "end": 601.56, "word": " من", "probability": 0.9951171875}, {"start": 601.56, "end": 601.96, "word": " خلال", "probability": 0.9959309895833334}, {"start": 601.96, "end": 602.2, "word": " اللي", "probability": 0.869384765625}, {"start": 602.2, "end": 602.54, "word": " هو", "probability": 0.943359375}, {"start": 602.54, "end": 603.38, "word": " ملصق", "probability": 0.888916015625}, {"start": 603.38, "end": 604.5, "word": " تمام", "probability": 0.782470703125}, {"start": 604.5, "end": 605.16, "word": " او", "probability": 0.889404296875}, {"start": 605.16, "end": 606.14, "word": " clamps", "probability": 0.646484375}, {"start": 606.14, "end": 606.8, "word": " ايش", "probability": 0.7802734375}, {"start": 606.8, "end": 607.1, "word": " معنية", "probability": 0.5603841145833334}, {"start": 607.1, "end": 607.78, "word": " clamps", "probability": 0.666015625}, {"start": 607.78, "end": 609.04, "word": " ملاقط", 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{"start": 615.62, "end": 615.92, "word": " هو", "probability": 0.99267578125}, {"start": 615.92, "end": 616.4, "word": " post", "probability": 0.7548828125}], "temperature": 1.0}, {"id": 24, "seek": 64628, "start": 617.1, "end": 646.28, "text": "عن طريق اللي هو قطع بلاستيكية بنكبسها عشان نثبت اللي هو العدسة have been used اذا اما من خلال ال cement او ال plastic post او ال clamps most rimless mountings have two areas of attachment peer lens one nasally and one temporally", "tokens": [3615, 1863, 23032, 16572, 4587, 13672, 1829, 31439, 12174, 9566, 3615, 4724, 15040, 14851, 1829, 4117, 10632, 44945, 4117, 3555, 3794, 11296, 6225, 8592, 7649, 8717, 12984, 3555, 2655, 13672, 1829, 31439, 18863, 3215, 3794, 3660, 362, 668, 1143, 1975, 15730, 1975, 15042, 9154, 16490, 1211, 6027, 2423, 19729, 1975, 2407, 2423, 5900, 2183, 1975, 2407, 2423, 44423, 881, 15982, 1832, 3746, 1109, 362, 732, 3179, 295, 19431, 15108, 6765, 472, 5382, 379, 293, 472, 8219, 379], "avg_logprob": -0.1243990333034442, 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plastic", "probability": 0.87158203125}, {"start": 630.28, "end": 631.16, "word": " post", "probability": 0.59814453125}, {"start": 631.16, "end": 631.6, "word": " او", "probability": 0.94287109375}, {"start": 631.6, "end": 631.82, "word": " ال", "probability": 0.9248046875}, {"start": 631.82, "end": 632.36, "word": " clamps", "probability": 0.84423828125}, {"start": 632.36, "end": 635.36, "word": " most", "probability": 0.474609375}, {"start": 635.36, "end": 636.38, "word": " rimless", "probability": 0.8974609375}, {"start": 636.38, "end": 637.82, "word": " mountings", "probability": 0.76953125}, {"start": 637.82, "end": 638.66, "word": " have", "probability": 0.96044921875}, {"start": 638.66, "end": 639.04, "word": " two", "probability": 0.912109375}, {"start": 639.04, "end": 639.8, "word": " areas", "probability": 0.9365234375}, {"start": 639.8, "end": 640.44, "word": " of", "probability": 0.97021484375}, {"start": 640.44, "end": 641.58, "word": " attachment", "probability": 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{"start": 663.95, "end": 664.79, "word": " يعني", "probability": 0.895751953125}, {"start": 664.79, "end": 665.17, "word": " هان", "probability": 0.94091796875}, {"start": 665.17, "end": 665.59, "word": " انا", "probability": 0.87841796875}, {"start": 665.59, "end": 666.09, "word": " بعمل", "probability": 0.9202473958333334}, {"start": 666.09, "end": 666.29, "word": " اللي", "probability": 0.6650390625}, {"start": 666.29, "end": 666.49, "word": " هو", "probability": 0.97314453125}, {"start": 666.49, "end": 667.07, "word": " عملية", "probability": 0.98095703125}, {"start": 667.07, "end": 667.47, "word": " ايش", "probability": 0.72802734375}, {"start": 667.47, "end": 668.09, "word": " شد", "probability": 0.909912109375}, {"start": 668.09, "end": 668.35, "word": " اللي", "probability": 0.98681640625}, {"start": 668.35, "end": 668.57, "word": " هو", "probability": 0.99072265625}, {"start": 668.57, "end": 668.75, "word": " ال", "probability": 0.91015625}, {"start": 668.75, "end": 669.15, "word": " screw", "probability": 0.69091796875}, {"start": 669.15, "end": 669.89, "word": " او", "probability": 0.962158203125}, {"start": 669.89, "end": 670.09, "word": " اللي", "probability": 0.986328125}, {"start": 670.09, "end": 670.47, "word": " هو", "probability": 0.9951171875}, {"start": 670.47, "end": 671.35, "word": " موضوع", "probability": 0.9197998046875}, {"start": 671.35, "end": 671.63, "word": " ال", "probability": 0.91943359375}, {"start": 671.63, "end": 672.15, "word": " plastic", "probability": 0.89453125}, {"start": 672.15, "end": 672.85, "word": " post", "probability": 0.86474609375}, {"start": 672.85, "end": 673.77, "word": " من", "probability": 0.9306640625}, {"start": 673.77, "end": 673.97, "word": " هان", "probability": 0.753662109375}, {"start": 673.97, "end": 674.53, "word": " بنشدها", "probability": 0.9781494140625}], "temperature": 1.0}, {"id": 26, "seek": 70382, "start": 674.68, "end": 703.82, "text": "من اللي هو ال timbral و ال nasal rimless mountings are sometimes referred to as three piece mountings الان لو انا رفعت العدسات فكم جزء بتكون منه تلاتة عندنا ال side الأول او ال timble الأول التاني و ال bridge صح لانه انا رفعت العدسات", "tokens": [27842, 13672, 1829, 31439, 2423, 524, 32728, 4032, 2423, 41575, 15982, 1832, 3746, 1109, 366, 2171, 10839, 281, 382, 1045, 2522, 3746, 1109, 2423, 7649, 45164, 1975, 8315, 12602, 5172, 34268, 18863, 3215, 3794, 9307, 6156, 24793, 10874, 11622, 38207, 39894, 30544, 9154, 3224, 6055, 1211, 9307, 3660, 43242, 8315, 2423, 1252, 16247, 12610, 1975, 2407, 2423, 524, 638, 16247, 12610, 16712, 7649, 1829, 4032, 2423, 7283, 20328, 5016, 5296, 7649, 3224, 1975, 8315, 12602, 5172, 34268, 18863, 3215, 3794, 9307], "avg_logprob": -0.2318978693063666, "compression_ratio": 1.675, "no_speech_prob": 0.0, "words": [{"start": 674.68, "end": 675.04, "word": "من", "probability": 0.79248046875}, {"start": 675.04, "end": 675.28, "word": " اللي", "probability": 0.68994140625}, {"start": 675.28, "end": 675.48, "word": " 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" bridge", "probability": 0.89892578125}, {"start": 700.4, "end": 702.1, "word": " صح", "probability": 0.922119140625}, {"start": 702.1, "end": 702.7, "word": " لانه", "probability": 0.5201009114583334}, {"start": 702.7, "end": 702.8, "word": " انا", "probability": 0.878662109375}, {"start": 702.8, "end": 703.18, "word": " رفعت", "probability": 0.9845377604166666}, {"start": 703.18, "end": 703.82, "word": " العدسات", "probability": 0.994873046875}], "temperature": 1.0}, {"id": 27, "seek": 71381, "start": 704.95, "end": 713.81, "text": "فإيش بنسميها الـ three piece mountings انه تلت قطع بتكون النضارة واضحة الفكرة؟", "tokens": [5172, 28814, 1829, 8592, 44945, 38251, 1829, 11296, 2423, 39184, 1045, 2522, 3746, 1109, 16472, 3224, 6055, 1211, 2655, 12174, 9566, 3615, 39894, 30544, 28239, 11242, 9640, 3660, 4032, 46958, 5016, 3660, 27188, 4117, 25720, 22807], "avg_logprob": -0.2725929021835327, "compression_ratio": 1.0964912280701755, "no_speech_prob": 0.0, "words": [{"start": 704.95, "end": 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"word": " one", "probability": 0.93359375}, {"start": 1242.35, "end": 1242.75, "word": " pair", "probability": 0.8330078125}, {"start": 1242.75, "end": 1243.27, "word": " of", "probability": 0.96875}, {"start": 1243.27, "end": 1243.81, "word": " lenses", "probability": 0.888671875}, {"start": 1243.81, "end": 1244.33, "word": " for", "probability": 0.96826171875}, {"start": 1244.33, "end": 1244.57, "word": " the", "probability": 0.93798828125}, {"start": 1244.57, "end": 1244.79, "word": " same", "probability": 0.861328125}, {"start": 1244.79, "end": 1245.19, "word": " frame", "probability": 0.93603515625}, {"start": 1245.19, "end": 1246.13, "word": " يعني", "probability": 0.925537109375}, {"start": 1246.13, "end": 1246.51, "word": " لهذا", "probability": 0.984130859375}, {"start": 1246.51, "end": 1247.05, "word": " السبب", "probability": 0.9947916666666666}, {"start": 1247.05, "end": 1247.61, "word": " انه", "probability": 0.54541015625}, {"start": 1247.61, "end": 1248.19, "word": " سهولة", "probability": 0.9732666015625}, {"start": 1248.19, "end": 1248.41, "word": " اللي", "probability": 0.9775390625}, {"start": 1248.41, "end": 1248.61, "word": " هو", "probability": 0.9541015625}, {"start": 1248.61, "end": 1249.13, "word": " سقوط", "probability": 0.979248046875}, {"start": 1249.13, "end": 1249.93, "word": " العدسات", "probability": 0.9947509765625}], "temperature": 1.0}, {"id": 47, "seek": 127874, "start": 1250.5, "end": 1278.74, "text": "خلّوا اكتر من اللي هو زوج من العدسات يتم اللي هو استخدامهم في داخل اللي هو الإطار الواحد ممكن العدسات هذه تكون sun lenses او ممكن تكون ملونة يعني photo brown او photo grey تمام او ممكن هذه العدسات تكون مثلا MC يعني في زوج اخر من العدسات تيجي مع هذه النضرات بسبب اللي هو سقوطها بسرعة", "tokens": [9778, 1211, 11703, 14407, 1975, 4117, 2655, 2288, 9154, 13672, 1829, 31439, 30767, 29245, 9154, 18863, 3215, 3794, 9307, 7251, 39237, 13672, 1829, 31439, 44713, 9778, 3215, 10943, 16095, 8978, 11778, 47283, 1211, 13672, 1829, 31439, 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0.6077880859375}, {"start": 1252.46, "end": 1252.8, "word": " هو", "probability": 0.96923828125}, {"start": 1252.8, "end": 1253.7, "word": " زوج", "probability": 0.821044921875}, {"start": 1253.7, "end": 1253.92, "word": " من", "probability": 0.96728515625}, {"start": 1253.92, "end": 1254.66, "word": " العدسات", "probability": 0.9759521484375}, {"start": 1254.66, "end": 1255.16, "word": " يتم", "probability": 0.800048828125}, {"start": 1255.16, "end": 1255.4, "word": " اللي", "probability": 0.6109619140625}, {"start": 1255.4, "end": 1255.6, "word": " هو", "probability": 0.9853515625}, {"start": 1255.6, "end": 1256.46, "word": " استخدامهم", "probability": 0.9505859375}, {"start": 1256.46, "end": 1256.98, "word": " في", "probability": 0.81396484375}, {"start": 1256.98, "end": 1257.5, "word": " داخل", "probability": 0.9088541666666666}, {"start": 1257.5, "end": 1257.72, "word": " اللي", "probability": 0.976806640625}, {"start": 1257.72, "end": 1257.92, "word": " هو", "probability": 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0.975830078125}, {"start": 1269.66, "end": 1270.08, "word": " مثلا", "probability": 0.872802734375}, {"start": 1270.08, "end": 1271.78, "word": " MC", "probability": 0.32568359375}, {"start": 1271.78, "end": 1272.4, "word": " يعني", "probability": 0.900390625}, {"start": 1272.4, "end": 1272.62, "word": " في", "probability": 0.8720703125}, {"start": 1272.62, "end": 1273.06, "word": " زوج", "probability": 0.938232421875}, {"start": 1273.06, "end": 1273.5, "word": " اخر", "probability": 0.8984375}, {"start": 1273.5, "end": 1273.76, "word": " من", "probability": 0.9931640625}, {"start": 1273.76, "end": 1274.58, "word": " العدسات", "probability": 0.9959716796875}, {"start": 1274.58, "end": 1275.3, "word": " تيجي", "probability": 0.973388671875}, {"start": 1275.3, "end": 1275.44, "word": " مع", "probability": 0.9921875}, {"start": 1275.44, "end": 1275.76, "word": " هذه", "probability": 0.94091796875}, {"start": 1275.76, "end": 1276.54, "word": " النضرات", "probability": 0.74224853515625}, {"start": 1276.54, "end": 1277.3, "word": " بسبب", "probability": 0.8889973958333334}, {"start": 1277.3, "end": 1277.5, "word": " اللي", "probability": 0.96923828125}, {"start": 1277.5, "end": 1277.72, "word": " هو", "probability": 0.98486328125}, {"start": 1277.72, "end": 1278.28, "word": " سقوطها", "probability": 0.91455078125}, {"start": 1278.28, "end": 1278.74, "word": " بسرعة", "probability": 0.9892578125}], "temperature": 1.0}, {"id": 48, "seek": 129897, "start": 1279.49, "end": 1298.97, "text": "أو إنه بمعنى آخر إنه بتم اللي هو اتدمج إلها بشكل سريع إذا sun lenses special purpose lenses or tinted lenses could then be used", "tokens": [10721, 2407, 36145, 3224, 4724, 2304, 3615, 1863, 7578, 19753, 34740, 36145, 3224, 39894, 2304, 13672, 1829, 31439, 1975, 2655, 40448, 7435, 11933, 1211, 11296, 4724, 8592, 28820, 8608, 16572, 3615, 11933, 15730, 3295, 18059, 2121, 4334, 18059, 420, 28738, 292, 18059, 727, 550, 312, 1143], "avg_logprob": -0.21077128103438844, "compression_ratio": 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"word": " سريع", "probability": 0.9884440104166666}, {"start": 1285.15, "end": 1288.67, "word": " إذا", "probability": 0.63671875}, {"start": 1288.67, "end": 1289.23, "word": " sun", "probability": 0.455810546875}, {"start": 1289.23, "end": 1290.09, "word": " lenses", "probability": 0.87353515625}, {"start": 1290.09, "end": 1291.83, "word": " special", "probability": 0.5927734375}, {"start": 1291.83, "end": 1292.97, "word": " purpose", "probability": 0.7685546875}, {"start": 1292.97, "end": 1293.91, "word": " lenses", "probability": 0.853515625}, {"start": 1293.91, "end": 1294.41, "word": " or", "probability": 0.8291015625}, {"start": 1294.41, "end": 1295.27, "word": " tinted", "probability": 0.966552734375}, {"start": 1295.27, "end": 1296.03, "word": " lenses", "probability": 0.83251953125}, {"start": 1296.03, "end": 1297.57, "word": " could", "probability": 0.93408203125}, {"start": 1297.57, "end": 1298.17, "word": " then", "probability": 0.87744140625}, {"start": 1298.17, "end": 1298.59, "word": " be", "probability": 0.95068359375}, {"start": 1298.59, "end": 1298.97, "word": " used", "probability": 0.91748046875}], "temperature": 1.0}, {"id": 49, "seek": 132337, "start": 1299.71, "end": 1323.37, "text": "interchangeably with the patients regular lenses يعني يمكن استخدامها بالتبادل مع اللي هو النضارات أو العدسات اللي موجودة اللي بتتم استخدامها بشكل اللي هو منتظم يعني اللي بمعنى عدسات المريض اللي هي الأصلية تمام okay", "tokens": [5106, 15431, 1188, 365, 264, 4209, 3890, 18059, 37495, 22653, 7251, 43020, 44713, 9778, 3215, 10943, 11296, 20666, 2655, 3555, 18513, 1211, 20449, 13672, 1829, 31439, 28239, 11242, 9640, 9307, 34051, 18863, 3215, 3794, 9307, 13672, 1829, 3714, 29245, 23328, 3660, 13672, 1829, 39894, 39237, 44713, 9778, 3215, 10943, 11296, 4724, 8592, 28820, 13672, 1829, 31439, 9154, 2655, 19913, 2304, 37495, 22653, 13672, 1829, 4724, 2304, 3615, 1863, 7578, 6225, 3215, 3794, 9307, 9673, 16572, 11242, 13672, 1829, 39896, 16247, 9381, 1211, 10632, 46811, 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Bridge", "probability": 0.7373046875}, {"start": 1476.89, "end": 1479.43, "word": " Because", "probability": 0.1781005859375}, {"start": 1479.43, "end": 1488.07, "word": " of", "probability": 0.966796875}, {"start": 1488.07, "end": 1488.31, "word": " the", "probability": 0.90478515625}, {"start": 1488.31, "end": 1488.87, "word": " variety", "probability": 0.8427734375}, {"start": 1488.87, "end": 1489.51, "word": " of", "probability": 0.97412109375}, {"start": 1489.51, "end": 1489.99, "word": " nose", "probability": 0.87939453125}, {"start": 1489.99, "end": 1490.77, "word": " shapes", "probability": 0.8212890625}, {"start": 1490.77, "end": 1492.03, "word": " أنه", "probability": 0.302734375}, {"start": 1492.03, "end": 1492.73, "word": " أشكال", "probability": 0.96875}, {"start": 1492.73, "end": 1492.99, "word": " اللي", "probability": 0.89453125}, {"start": 1492.99, "end": 1493.23, "word": " هو", "probability": 0.861328125}, {"start": 1493.23, "end": 1493.77, "word": " الأنف", 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1526.5, "word": " مجموعة", "probability": 0.94814453125}, {"start": 1526.5, "end": 1527.4, "word": " مختلفة", "probability": 0.9945068359375}, {"start": 1527.4, "end": 1527.84, "word": " من", "probability": 0.994140625}, {"start": 1527.84, "end": 1528.44, "word": " أشكال", "probability": 0.9825439453125}, {"start": 1528.44, "end": 1528.74, "word": " مين", "probability": 0.93212890625}], "temperature": 1.0}, {"id": 57, "seek": 155512, "start": 1529.04, "end": 1555.12, "text": "الـ nose pad طبعاً لكل ال material سواء ال plastic أو اللي هو ال metal ال plastic bridge أو ال metal bridge نيجي ل ال plastic bridge ال bridge area of a plastic frame is periformed إيش معناه كلمة periformed؟", "tokens": [6027, 39184, 6690, 6887, 23032, 3555, 3615, 995, 14111, 5296, 28820, 2423, 2527, 8608, 2407, 16606, 2423, 5900, 34051, 13672, 1829, 31439, 2423, 5760, 2423, 5900, 7283, 34051, 2423, 5760, 7283, 8717, 1829, 7435, 1829, 5296, 2423, 5900, 7283, 2423, 7283, 1859, 295, 257, 5900, 3920, 307, 680, 8629, 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0.975341796875}, {"start": 1755.1, "end": 1755.32, "word": " هو", "probability": 0.9853515625}, {"start": 1755.32, "end": 1755.92, "word": " منطقة", "probability": 0.9860026041666666}, {"start": 1755.92, "end": 1756.14, "word": " ال", "probability": 0.97998046875}, {"start": 1756.14, "end": 1756.48, "word": " bridge", "probability": 0.923828125}, {"start": 1756.48, "end": 1756.82, "word": " اللي", "probability": 0.962158203125}, {"start": 1756.82, "end": 1757.24, "word": " بتكون", "probability": 0.988037109375}, {"start": 1757.24, "end": 1757.74, "word": " directly", "probability": 0.9345703125}, {"start": 1757.74, "end": 1758.24, "word": " to", "probability": 0.9814453125}, {"start": 1758.24, "end": 1758.44, "word": " the", "probability": 0.91015625}, {"start": 1758.44, "end": 1758.76, "word": " nose", "probability": 0.8896484375}, {"start": 1758.76, "end": 1760.04, "word": " بشكل", "probability": 0.9430338541666666}, {"start": 1760.04, "end": 1760.62, "word": " مباشر", "probability": 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بنسميها اللي هي crest الآن احنا ليش بنعمل الصدل اللي هو بيمثل وين بيكون موجود على ال crest؟", "tokens": [6027, 20292, 39896, 12174, 46007, 18863, 11242, 46007, 12399, 13672, 1829, 39896, 12174, 46007, 16247, 1863, 5172, 12399, 44945, 38251, 1829, 11296, 13672, 1829, 39896, 43799, 6024, 48506, 1975, 5016, 8315, 32239, 8592, 44945, 25957, 1211, 31767, 3215, 1211, 13672, 1829, 31439, 4724, 32640, 12984, 1211, 4032, 9957, 4724, 1829, 30544, 3714, 29245, 23328, 15844, 2423, 43799, 22807], "avg_logprob": -0.17240466606819024, "compression_ratio": 1.6544117647058822, "no_speech_prob": 0.0, "words": [{"start": 1820.69, "end": 1820.93, "word": "اللي", "probability": 0.779296875}, {"start": 1820.93, "end": 1821.11, "word": " هي", "probability": 0.9140625}, {"start": 1821.11, "end": 1821.55, "word": " قمة", "probability": 0.98828125}, {"start": 1821.55, "end": 1823.09, "word": " العضمة،", "probability": 0.709716796875}, {"start": 1823.09, "end": 1823.21, "word": " اللي", "probability": 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هو نعمل express اللي هو توزيع لمين؟ للوزن بتاع العدسات بحيث انه مايكونش العدسة التقل تاحة فقط على اللي هو مين منطقة واحدة", "tokens": [2407, 6027, 7435, 11622, 38207, 6024, 95, 34740, 4724, 1829, 30544, 3714, 29245, 23328, 4032, 9957, 22807, 15844, 4724, 995, 38436, 16247, 1863, 5172, 23032, 3555, 1975, 5016, 8315, 32239, 8592, 44945, 25957, 1211, 29538, 25062, 11242, 10632, 22807, 50239, 32239, 6225, 8592, 7649, 8717, 9778, 5172, 5172, 9154, 4032, 11622, 1863, 18863, 3215, 3794, 9307, 1975, 2407, 8717, 2407, 11622, 3615, 13672, 1829, 31439, 8717, 25957, 1211, 5109, 13672, 1829, 31439, 33427, 11622, 40228, 5296, 2304, 9957, 22807, 24976, 2407, 11622, 1863, 39894, 45761, 18863, 3215, 3794, 9307, 4724, 5016, 1829, 12984, 16472, 3224, 19446, 1829, 30544, 8592, 18863, 3215, 3794, 3660, 16712, 4587, 1211, 6055, 39319, 3660, 6156, 47432, 15844, 13672, 1829, 31439, 3714, 9957, 9154, 9566, 28671, 36764, 24401, 3660], "avg_logprob": -0.16570060940519457, "compression_ratio": 1.8571428571428572, 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هو عبارة عن مين ال bad bridge تمام؟", "tokens": [8297, 5760, 7283, 264, 7283, 12719, 1143, 294, 5760, 12083, 307, 264, 1578, 7283, 37495, 22653, 16247, 4117, 2655, 2288, 13672, 1829, 31439, 13412, 1829, 45367, 995, 9154, 8717, 39319, 10632, 42963, 14851, 9778, 3215, 10943, 8978, 13672, 1829, 31439, 2423, 5760, 12083, 31439, 6225, 3555, 9640, 3660, 18871, 3714, 9957, 2423, 1578, 7283, 46811, 10943, 22807], "avg_logprob": -0.1791487117779666, "compression_ratio": 1.4970059880239521, "no_speech_prob": 0.0, "words": [{"start": 2143.98, "end": 2144.38, "word": "Okay", "probability": 0.259521484375}, {"start": 2144.38, "end": 2146.26, "word": " metal", "probability": 0.2099609375}, {"start": 2146.26, "end": 2147.22, "word": " bridge", "probability": 0.8818359375}, {"start": 2147.22, "end": 2148.72, "word": " the", "probability": 0.213623046875}, {"start": 2148.72, "end": 2149.16, "word": " bridge", "probability": 0.87939453125}, {"start": 2149.16, "end": 2149.82, "word": " commonly", 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"temperature": 1.0}, {"id": 84, "seek": 225523, "start": 2227.79, "end": 2255.23, "text": "تمام يعني ال weight هيكون غير متساوي بمعنى اخر انه هيكون فيه توزيع على كل اللي هو مين النضارة when a metal frame is equipped with a clear plastic saddle type bridge the bridge type is referred to as a comfort bridge يعني يما يكون اللي هو تجهيز", "tokens": [2655, 15042, 2304, 37495, 22653, 2423, 3364, 39896, 30544, 32771, 13546, 44650, 3794, 995, 45865, 4724, 2304, 3615, 1863, 7578, 1975, 34740, 16472, 3224, 39896, 30544, 8978, 3224, 33427, 11622, 40228, 15844, 28242, 13672, 1829, 31439, 3714, 9957, 28239, 11242, 9640, 3660, 562, 257, 5760, 3920, 307, 15218, 365, 257, 1850, 5900, 30459, 2010, 7283, 264, 7283, 2010, 307, 10839, 281, 382, 257, 3400, 7283, 37495, 22653, 7251, 15042, 7251, 30544, 13672, 1829, 31439, 6055, 7435, 3224, 1829, 11622], "avg_logprob": -0.14335938058793546, "compression_ratio": 1.5391705069124424, "no_speech_prob": 0.0, "words": [{"start": 2227.79, "end": 2228.29, "word": 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"probability": 0.904541015625}, {"start": 2461.21, "end": 2461.71, "word": " ما", "probability": 0.8447265625}, {"start": 2461.71, "end": 2462.03, "word": " بين", "probability": 0.9951171875}, {"start": 2462.03, "end": 2462.47, "word": " الـ", "probability": 0.713134765625}, {"start": 2462.47, "end": 2462.79, "word": " two", "probability": 0.607421875}, {"start": 2462.79, "end": 2463.31, "word": " sides", "probability": 0.63134765625}, {"start": 2463.31, "end": 2464.79, "word": " ومايحملش", "probability": 0.88525390625}, {"start": 2464.79, "end": 2465.35, "word": " بشكل", "probability": 0.96875}, {"start": 2465.35, "end": 2465.63, "word": " اللي", "probability": 0.6041259765625}, {"start": 2465.63, "end": 2465.85, "word": " هو", "probability": 0.8310546875}, {"start": 2465.85, "end": 2466.19, "word": " كبير", "probability": 0.9915364583333334}, {"start": 2466.19, "end": 2466.65, "word": " عمين", "probability": 0.916015625}, {"start": 2466.65, "end": 2467.23, "word": " على", "probability": 0.755859375}, {"start": 2467.23, "end": 2467.55, "word": " ال", "probability": 0.8740234375}, {"start": 2467.55, "end": 2468.07, "word": " crest", "probability": 0.306640625}, {"start": 2468.07, "end": 2469.23, "word": " طيب", "probability": 0.7144368489583334}, {"start": 2469.23, "end": 2470.85, "word": " نقف", "probability": 0.7189127604166666}, {"start": 2470.85, "end": 2471.01, "word": " ان", "probability": 0.82470703125}, {"start": 2471.01, "end": 2471.23, "word": " شاء", "probability": 0.98583984375}, {"start": 2471.23, "end": 2471.45, "word": " الله", "probability": 0.953125}, {"start": 2471.45, "end": 2473.61, "word": " لمرحلة", "probability": 0.8626708984375}, {"start": 2473.61, "end": 2474.03, "word": " هذه", "probability": 0.818359375}, {"start": 2474.03, "end": 2474.65, "word": " وان", "probability": 0.73681640625}, {"start": 2474.65, "end": 2474.83, "word": " شاء", "probability": 0.9892578125}, {"start": 2474.83, "end": 2475.03, "word": " الله", "probability": 0.9501953125}, {"start": 2475.03, "end": 2475.21, "word": " في", "probability": 0.89501953125}, {"start": 2475.21, "end": 2475.87, "word": " المحاضرة", "probability": 0.9814453125}, {"start": 2475.87, "end": 2476.87, "word": " القادمة", "probability": 0.9918619791666666}, {"start": 2476.87, "end": 2477.45, "word": " نكمل", "probability": 0.9860026041666666}, {"start": 2477.45, "end": 2477.65, "word": " أي", "probability": 0.30419921875}, {"start": 2477.65, "end": 2477.97, "word": " سؤال", "probability": 0.9313151041666666}, {"start": 2477.97, "end": 2479.21, "word": " فيه؟", "probability": 0.780029296875}, {"start": 2479.21, "end": 2480.05, "word": " يعطيكم", "probability": 0.952880859375}, {"start": 2480.05, "end": 2480.51, "word": " العافية", "probability": 0.96240234375}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2480.866375, "duration_after_vad": 2328.893749999993}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..3d9a4b1b42a415e1dcf8435b71a32282e144602c
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/4LlDolPJfSk_raw.srt
@@ -0,0 +1,1652 @@
+1
+00:00:20,700 --> 00:00:23,400
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,400 --> 00:00:30,240
+وبركاته ومرحبا لكم جميعا سنبدأ ان شاء الله اليوم
+
+3
+00:00:30,240 --> 00:00:35,660
+في تكملة محاضرة المحاضرة السابقة اللي كانت بعنوان
+
+4
+00:00:35,660 --> 00:00:44,420
+frame types and parts اليوم في المحاضرات السابقة
+
+5
+00:00:44,420 --> 00:00:52,300
+أخدنا ال plastic materialالـ metal material و ايضا
+
+6
+00:00:52,300 --> 00:00:57,940
+اخدنا ال super mount تمام اليوم هنبدأ في ال
+
+7
+00:00:57,940 --> 00:01:04,100
+combination combination frames are commonly frames
+
+8
+00:01:04,100 --> 00:01:10,100
+having a metal chassis and plastic top rims and
+
+9
+00:01:10,100 --> 00:01:17,440
+temples اذا هي اطارات بتكون اللي هو اكتر شيوعا
+
+10
+00:01:18,500 --> 00:01:24,940
+بتمتلك الهيكل العام بتاعها بيكون معدني، تمام؟ يعني
+
+11
+00:01:24,940 --> 00:01:30,680
+بمعنى إن الإطار العام إلها معدني، بينما ال top
+
+12
+00:01:30,680 --> 00:01:36,260
+إلها أو ال top rim إيش بيكون؟ Plastic و ال temple
+
+13
+00:01:36,260 --> 00:01:43,580
+أو ما يسمى بال side، Plastic
+
+14
+00:01:46,230 --> 00:01:51,750
+The chassis includes the eye wire and center or
+
+15
+00:01:51,750 --> 00:01:57,630
+bridge section إذا عندنا الهيكل العام إيش بيشمل؟
+
+16
+00:01:57,630 --> 00:02:01,930
+ال eye wire اللي هو عبارة عن ال rim صح ولا لأ؟
+
+17
+00:02:01,930 --> 00:02:08,270
+الحواف بتاعة العدسة و مركز ال bridge برضه بيكون
+
+18
+00:02:08,270 --> 00:02:12,210
+بعض الأحيان اللي هو plastic أو قد يكون اللي هو
+
+19
+00:02:12,210 --> 00:02:19,700
+metalطيب اذا عشان نثبت المعلومة يما بيكون عندنا
+
+20
+00:02:19,700 --> 00:02:24,500
+combination of frame معنى الكلام ان في جزء منه
+
+21
+00:02:24,500 --> 00:02:29,400
+plastic و الجزء الآخر اللي هو metal ال plastic
+
+22
+00:02:29,400 --> 00:02:34,180
+ممكن يكون ال top rim بالاضافة لل temple بينما ال
+
+23
+00:02:34,180 --> 00:02:38,040
+rim ممكن يكون بعض الحواف او بعض ال eye wire بتاعة
+
+24
+00:02:38,040 --> 00:02:42,960
+اللي هو الإطار تمام؟تكنيكالي من ناحية اللي هو
+
+25
+00:02:42,960 --> 00:02:48,760
+تقنية اي frame with a combination of metal and
+
+26
+00:02:48,760 --> 00:02:54,500
+plastic could be included in this category اذا من
+
+27
+00:02:54,500 --> 00:03:01,660
+ناحية تقنية اي اطار تمام فيه هناك اللي هو
+
+28
+00:03:01,660 --> 00:03:08,060
+combination ما بين ال metal و ال plastic يعتبر من
+
+29
+00:03:08,060 --> 00:03:16,160
+ضمن هذا التصنيفOkay as in the case of a frame with
+
+30
+00:03:16,160 --> 00:03:21,100
+plastic eye wires and metal bridge and temples
+
+31
+00:03:21,100 --> 00:03:27,900
+اللي هيكون مثلا عندنا ال top rim بلاستيك وال side
+
+32
+00:03:27,900 --> 00:03:35,400
+هيكون بلاستيك وباقى الأجزاء هتكون metal okay إذا
+
+33
+00:03:35,400 --> 00:03:42,090
+التصنيف هذا بيمثل ال figure هذا okayزي عندنا اللي
+
+34
+00:03:42,090 --> 00:03:47,630
+هو مثلا نضارة هبة هاي عندنا مثلا ال top part أو
+
+35
+00:03:47,630 --> 00:03:52,230
+عفوا ال top اللي هو rim هذا plastic ال side ايش
+
+36
+00:03:52,230 --> 00:03:57,850
+بيمثل او ال temple اللي هو plastic تمام عندنا hand
+
+37
+00:03:57,850 --> 00:04:03,380
+يعتبر اللي هو ايه rimبقية الـ rim هذا يعتبر metal
+
+38
+00:04:03,380 --> 00:04:09,420
+صح عندنا ال .. ال .. ال nose pad بلاستيك لكن اللي
+
+39
+00:04:09,420 --> 00:04:13,200
+حامل ال nose pad يعتبر اللي هو metal تمام فهذا
+
+40
+00:04:13,200 --> 00:04:22,040
+بنسميه combination of rim طيب
+
+41
+00:04:22,040 --> 00:04:23,220
+عندنا ال half eye
+
+42
+00:04:27,250 --> 00:04:33,090
+Half eyes are frames made especially for those who
+
+43
+00:04:33,090 --> 00:04:37,170
+need a reading correction, but not correction for
+
+44
+00:04:37,170 --> 00:04:45,030
+distance هذا النوع من النضارات بيستخدم تحديدا مع
+
+45
+00:04:45,030 --> 00:04:49,050
+الأشخاص اللي بيكون عندهم breast biopia، تمام؟ يعني
+
+46
+00:04:49,050 --> 00:04:56,080
+بيستخدم مع الـnear correctionيعني بمعنى آخر إن
+
+47
+00:04:56,080 --> 00:05:01,980
+الشخص بيحاول إنه يضع العدسة أو يضع النضارة يريحها
+
+48
+00:05:01,980 --> 00:05:06,720
+على الأنف تمام؟ و اللي هو بتطلع على الـ near
+
+49
+00:05:06,720 --> 00:05:11,820
+vision يما بيجي بتطلع لل distance بتطلع من وين؟ من
+
+50
+00:05:11,820 --> 00:05:19,820
+فوق النضارة تمام؟ They are constructedانه آلية
+
+51
+00:05:19,820 --> 00:05:23,960
+اللى هو الانشاء تاعتها او طريقة البناء او طريقة
+
+52
+00:05:23,960 --> 00:05:29,740
+الصناعة تاعتها to sit lower on the nose than
+
+53
+00:05:29,740 --> 00:05:35,600
+normal يعني جلوسها دايما بيكون اكتر من مين من
+
+54
+00:05:35,600 --> 00:05:42,200
+العدسات العادية على منطقة ال noseand are only half
+
+55
+00:05:42,200 --> 00:05:47,980
+as high as normal glasses وهي تعتبر نصف اللي هو
+
+56
+00:05:47,980 --> 00:05:53,300
+ايش؟ نصف اللي هي العدسات العادية من ناحية الحجم
+
+57
+00:05:53,300 --> 00:05:57,040
+حتى انتوا بتلاحظوا ان بعضهم بيستخدموا لها bucket
+
+58
+00:05:57,040 --> 00:06:00,560
+خاص بيكون زي tube انبوب تمام؟
+
+59
+00:06:02,560 --> 00:06:06,780
+allows the wearer to look over the top of the
+
+60
+00:06:06,780 --> 00:06:12,200
+glasses هذا بتسمح للمريض أنه ينظر من فوق النضارة
+
+61
+00:06:12,200 --> 00:06:18,540
+لكن هان وين for distance صحيح؟
+
+62
+00:06:18,540 --> 00:06:25,640
+يعني هو ليش بتطلع من فوق النضارة للبعيد؟ they may
+
+63
+00:06:25,640 --> 00:06:30,760
+be of a plastic, metal or even nylon cord
+
+64
+00:06:30,760 --> 00:06:35,180
+constructionيعني ممكن هذه تكون metal وممكن تكون
+
+65
+00:06:35,180 --> 00:06:40,280
+plastic وممكن تكون اللي هي super mount تمام او
+
+66
+00:06:40,280 --> 00:06:43,780
+بنسميها nylon cord يعني كتصميم لها يعني ممكن كل
+
+67
+00:06:43,780 --> 00:06:47,380
+هيتها تكون plastic كلها تكون metal كلها تكون nylon
+
+68
+00:06:47,380 --> 00:06:54,820
+cord okay less common are half eyes for distant
+
+69
+00:06:54,820 --> 00:07:00,390
+vision which allow the wearer to lookunder the
+
+70
+00:07:00,390 --> 00:07:05,710
+lenses for reading في بعض من هذه العدسات ممكن
+
+71
+00:07:05,710 --> 00:07:09,930
+تستخدم لل distance تمام يا ما بدي أجي أطلع لل
+
+72
+00:07:09,930 --> 00:07:14,210
+distance بتطلع بالنضارة يا ما بدي أجي أطلع للنير
+
+73
+00:07:14,210 --> 00:07:21,270
+بتطلع من تحت النضارة okay طيب إيش المميزة اللي
+
+74
+00:07:21,270 --> 00:07:26,010
+موجودة في الشكل هذا عينكم أمامكم إيش المميزة في
+
+75
+00:07:26,010 --> 00:07:28,230
+النضارة مين تقدر تقوليها
+
+76
+00:07:31,290 --> 00:07:36,090
+في هناك مميزة خاصة في النضارة يعني ملحوظة بشكل
+
+77
+00:07:36,090 --> 00:07:45,790
+اللي هو significant واضح او clear اه لأ
+
+78
+00:07:45,790 --> 00:07:54,230
+انا مش شايفها عادية اه تمام
+
+79
+00:07:54,230 --> 00:07:58,530
+هذه حكينا ان هي كتصميم لكن في حاجة هنا clear واضحة
+
+80
+00:07:58,530 --> 00:07:58,810
+كتير
+
+81
+00:08:03,520 --> 00:08:09,900
+ممتازة ان موضوع ال bridge جاي موازي لمين لل top
+
+82
+00:08:09,900 --> 00:08:15,320
+rim صح ولا لأ؟ الان لو انت طلعت في معظم النضارات
+
+83
+00:08:15,320 --> 00:08:21,080
+بتلاحظ ان ال bridge جاي أسفل ال top rim او في
+
+84
+00:08:21,080 --> 00:08:26,760
+مسافة بينهم لكن هان ايش جاي ال bridge موازي او على
+
+85
+00:08:26,760 --> 00:08:32,180
+محاذاة مين ال top rim تمام؟ هي عينكم أمامكم
+
+86
+00:08:32,180 --> 00:08:37,540
+بالصورةإن كلهم على مستوى بعض اللي هو ال bridge و
+
+87
+00:08:37,540 --> 00:08:46,520
+ال top rim في ال right و ال top rim في ال left طيب
+
+88
+00:08:46,520 --> 00:08:50,980
+عندنا ال rimless أو ال semi rimless أو ال new
+
+89
+00:08:50,980 --> 00:08:51,480
+month
+
+90
+00:08:56,150 --> 00:08:59,070
+المصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+91
+00:08:59,070 --> 00:09:00,510
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+92
+00:09:00,510 --> 00:09:05,150
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+93
+00:09:05,150 --> 00:09:05,650
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+94
+00:09:05,650 --> 00:09:05,770
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+95
+00:09:05,770 --> 00:09:05,850
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+96
+00:09:05,850 --> 00:09:06,310
+للمصدرات المساعدة للمصدرات المساعدة للمصدرات
+
+97
+00:09:06,310 --> 00:09:06,670
+المساعدة للمصدرات المساعدة للمصدرات المساعدة
+
+98
+00:09:06,670 --> 00:09:14,690
+للمصدرإذا هذا النوع من العدسات بتستطيع أنه تمسك
+
+99
+00:09:14,690 --> 00:09:19,130
+هذا النوع من النضارات بتستطيع أنه تمسك العدسات
+
+100
+00:09:19,130 --> 00:09:25,050
+أمام العين بعيدا عن مين؟ الرم مافيش فيها أي ترم أو
+
+101
+00:09:25,050 --> 00:09:29,250
+عن ال nylon cord أي بمعنى اللي هو ال string الخير
+
+102
+00:09:29,250 --> 00:09:33,910
+طيب كيف بتمسكها؟ من خلال اللي هو ال screw يعني
+
+103
+00:09:33,910 --> 00:09:39,700
+بمعنى اللي هو البراغي أو اللي هوبلاقت اللي هي
+
+104
+00:09:39,700 --> 00:09:46,060
+بتثبت مين العدسات في مكانها اذا often screws are
+
+105
+00:09:46,060 --> 00:09:50,960
+used غالبا بتم استخدام اللي هو براغي لعملية
+
+106
+00:09:50,960 --> 00:09:56,780
+التثبيت في منها أنواع مختلفةفي عملية التثبيت اما
+
+107
+00:09:56,780 --> 00:10:01,960
+بتكون cement وهي هذه نادرة الاستخدام يعني من خلال
+
+108
+00:10:01,960 --> 00:10:09,040
+اللي هو ملصق تمام او clamps ايش معنية clamps ملاقط
+
+109
+00:10:09,040 --> 00:10:14,500
+تمام يعني بتتم تثبيتها من خلال اللي هو ملاقط and
+
+110
+00:10:14,500 --> 00:10:19,720
+plastic اللي هو postعن طريق اللي هو قطع بلاستيكية
+
+111
+00:10:19,720 --> 00:10:25,160
+بنكبسها عشان نثبت اللي هو العدسة have been used
+
+112
+00:10:25,160 --> 00:10:31,820
+اذا اما من خلال ال cement او ال plastic post او ال
+
+113
+00:10:31,820 --> 00:10:40,440
+clamps most rimless mountings have two areas of
+
+114
+00:10:40,440 --> 00:10:45,480
+attachment peer lens one nasally and one
+
+115
+00:10:45,480 --> 00:10:52,590
+temporallyالان في هان يا جماعة ايه مساحة او area
+
+116
+00:10:52,590 --> 00:10:58,490
+ال area هذه من ال center او من ال nose وايضا من ال
+
+117
+00:10:58,490 --> 00:11:05,170
+temporal شو بتعمل بتثبت العدسة في مكانها يعني هان
+
+118
+00:11:05,170 --> 00:11:09,890
+انا بعمل اللي هو عملية ايش شد اللي هو ال screw او
+
+119
+00:11:09,890 --> 00:11:15,280
+اللي هو موضوع ال plastic post من هان بنشدهامن اللي
+
+120
+00:11:15,280 --> 00:11:21,240
+هو ال timbral و ال nasal rimless mountings are
+
+121
+00:11:21,240 --> 00:11:26,840
+sometimes referred to as three piece mountings
+
+122
+00:11:26,840 --> 00:11:32,620
+الان لو انا رفعت العدسات فكم جزء بتكون منه تلاتة
+
+123
+00:11:32,620 --> 00:11:39,980
+عندنا ال side الأول او ال timble الأول التاني و ال
+
+124
+00:11:39,980 --> 00:11:46,530
+bridge صح لانه انا رفعت العدساتفإيش بنسميها الـ
+
+125
+00:11:46,530 --> 00:11:52,630
+three piece mountings انه تلت قطع بتكون النضارة
+
+126
+00:11:52,630 --> 00:11:53,810
+واضحة الفكرة؟
+
+127
+00:12:09,690 --> 00:12:14,870
+Semi-rimless mountings are similar to the rimless
+
+128
+00:12:14,870 --> 00:12:23,090
+except for a metal reinforcing arm السيم ريملس هي
+
+129
+00:12:23,090 --> 00:12:28,970
+شبيهة بمين بالريملس اللي هو mounting لكن فيها
+
+130
+00:12:28,970 --> 00:12:33,590
+إضافة واحدة بنسميها ال metal reinforcing هي
+
+131
+00:12:33,590 --> 00:12:39,630
+المنطقة هذه كلهاالـ metal reinforcing إيش الهدف
+
+132
+00:12:39,630 --> 00:12:46,770
+منها؟ إنه تعزيز وتقويت النضارة،يعني بتقوي و بتثبت
+
+133
+00:12:46,770 --> 00:12:53,150
+العدسات أكتر و بتعززهم في مكانهم، okay؟ which
+
+134
+00:12:53,150 --> 00:12:58,730
+follows هيتبعها the upper posterior surface of the
+
+135
+00:12:58,730 --> 00:13:06,440
+lensand joins the center piece of the frame to the
+
+136
+00:13:06,440 --> 00:13:10,480
+end piece هيتبعها ايضا مناطق اللي هي تثبيت من
+
+137
+00:13:10,480 --> 00:13:14,620
+العدسة في اللي هو ال end piece سواء في ال temporal
+
+138
+00:13:14,620 --> 00:13:21,900
+او ال nasal side لكن هنا الشغل اللي هي مخالفة لل
+
+139
+00:13:21,900 --> 00:13:27,820
+rimless mounting هي اضافة ال rene force تمام اللي
+
+140
+00:13:27,820 --> 00:13:33,260
+بتعمل عملية تثبيت وتعزيز العدسةOkay the
+
+141
+00:13:33,260 --> 00:13:37,080
+centerpiece of a mounting consists of ايش
+
+142
+00:13:37,080 --> 00:13:42,700
+مكوناتها؟ في عندنا ال bridge تمام ايضا في عندنا ال
+
+143
+00:13:42,700 --> 00:13:48,580
+bad arms اللي هي ال pad arms اللي بتمسك مين ال
+
+144
+00:13:48,580 --> 00:13:53,460
+nose pad و بالاضافة لا اللي هي ال nose pads يعني
+
+145
+00:13:53,460 --> 00:13:59,440
+عملية التساق ال nose pads ما بتكون بشكل مباشر مع
+
+146
+00:13:59,440 --> 00:14:04,790
+مين؟ مع ال bridgeفي هناك اللي هو عبارة عن bad arms
+
+147
+00:14:04,790 --> 00:14:11,390
+أو سمناها المحاضرة السابقة ايش bad
+
+148
+00:14:11,390 --> 00:14:21,310
+guard صح ولا لا تمام
+
+149
+00:14:21,310 --> 00:14:27,410
+يعني بتعمل عملية اللي هو تعزيز وتثبيت للعدسات
+
+150
+00:14:45,720 --> 00:14:52,800
+الان لو لاحظت يعني العدسة كيف مثبتة فقط من منطقة
+
+151
+00:14:52,800 --> 00:14:59,030
+ال nasal صح ولا لأ؟يعني هان الـ screw اللي امثبت
+
+152
+00:14:59,030 --> 00:15:05,510
+العدسة فقط من اللي هو الـ nose They are seldom
+
+153
+00:15:05,510 --> 00:15:10,110
+seen today، هي نادرة الاستخدام حاليا، يعني لا
+
+154
+00:15:10,110 --> 00:15:16,450
+تستخدم بشكل اللي هو شائع، ليش طيب؟ لأن مصادر القوة
+
+155
+00:15:16,450 --> 00:15:20,850
+لتثبيت العدسة ضعيفة، صح ولا لا؟ يعني العدسة ممكن
+
+156
+00:15:20,850 --> 00:15:22,270
+بسهولة انه تسقط
+
+157
+00:15:41,570 --> 00:15:50,290
+العدسات كلها مرتبطة في ال bridge area صح ولا لأ؟
+
+158
+00:15:52,760 --> 00:15:56,860
+أو ال temple أو ال side بيكون اللي هو مرتبط في
+
+159
+00:15:56,860 --> 00:16:02,920
+منطقة ال metal arm يعني زي اللي هو دراع تمام ممسك
+
+160
+00:16:02,920 --> 00:16:08,320
+اللي هو العدسة هذا بيمتد لوين لآخر اللي هو ال ear
+
+161
+00:16:08,320 --> 00:16:14,860
+يعني لنهاية اللي هو إيش النضارة أو نهاية اللي هو
+
+162
+00:16:14,860 --> 00:16:19,080
+ال metal أو ال side بتاعة النضارة إذا مرة تانية
+
+163
+00:16:19,080 --> 00:16:26,000
+عندنا بداية انهالمنطقة الـ nasal بتكون مرتبطة بالـ
+
+164
+00:16:26,000 --> 00:16:32,180
+bridge و دي واضحة بينما عندنا ال temple او ال side
+
+165
+00:16:32,180 --> 00:16:38,440
+مرتبط بـ metal arm عشان انه تنتهي العدسة في نهاية
+
+166
+00:16:38,440 --> 00:16:42,800
+اللي هو من الوجه او في نهاية اللي هو الأذن
+
+167
+00:16:46,760 --> 00:16:51,520
+thus or so there is only one point of attachment
+
+168
+00:16:51,520 --> 00:16:55,200
+peer lens املاحظين ان احنا في عندنا نقطة واحدة
+
+169
+00:16:55,200 --> 00:16:59,660
+لعملية إيش شد العدسة اللي هي من وين؟ من الناذر
+
+170
+00:16:59,660 --> 00:17:05,820
+okay differentiate between the three يعني التلت
+
+171
+00:17:05,820 --> 00:17:09,720
+مسميات اللي ذكرناهم سواء ال rimless أو ال semi
+
+172
+00:17:09,720 --> 00:17:16,390
+rimless أو ال new mountingالان الموزعين او شركات
+
+173
+00:17:16,390 --> 00:17:20,070
+النضارات بيسموا التلاتة عبارة عن rimless mounting
+
+174
+00:17:20,070 --> 00:17:24,390
+يعني ما بيميزوا ما بين التلاتة واضح الفكرة يعني
+
+175
+00:17:24,390 --> 00:17:28,210
+الان لو انت في عندك نضارة semi rimless على طول
+
+176
+00:17:28,210 --> 00:17:32,110
+بيسموها rimless ال new mount ايضا بيسموها اللي هو
+
+177
+00:17:32,110 --> 00:17:41,510
+rimless طيب
+
+178
+00:17:43,700 --> 00:17:51,500
+ball grip ball
+
+179
+00:17:51,500 --> 00:17:56,800
+grip mountings secure the lens in place يعني بتضمن
+
+180
+00:17:56,800 --> 00:18:03,620
+العدسة أمام العين من خلال إيش إكليبس قولنا إيش
+
+181
+00:18:03,620 --> 00:18:09,820
+معناه إكليبس نعم بالضبط اللي هو زي اللي هو ملاقت
+
+182
+00:18:09,820 --> 00:18:17,730
+صح ولا لأ؟attached to a bar of tensile steel that
+
+183
+00:18:17,730 --> 00:18:23,310
+fits into a nasal and a temporal notch on each
+
+184
+00:18:23,310 --> 00:18:27,210
+side of the lens شايفين هذه المنطقة التمبرال صح؟
+
+185
+00:18:27,210 --> 00:18:33,490
+اش فيها زي اللي هو لكمة للعدسة صح؟ هذه بنسميها ال
+
+186
+00:18:33,490 --> 00:18:33,830
+notch
+
+187
+00:18:38,610 --> 00:18:45,250
+تمام؟ ايش الهدف منها ان تعمل تعزيز وتقوية للعدسة؟
+
+188
+00:18:45,250 --> 00:18:52,490
+وين طيب موجودة؟ في ال temporal side الان بالنسبة
+
+189
+00:18:52,490 --> 00:18:57,470
+لل nasal شايفين؟
+
+190
+00:18:57,470 --> 00:19:04,740
+الان عندنا ال nasal مرتبط اللي هو معاه ايه؟اللي هو
+
+191
+00:19:04,740 --> 00:19:08,420
+الـ nose pad 100% بالاضافة له اللي هو ال bridge
+
+192
+00:19:08,420 --> 00:19:13,460
+center واضحة و ال notch مرتبط مع اللي هو ال
+
+193
+00:19:13,460 --> 00:19:20,240
+temporal sight إذا
+
+194
+00:19:20,240 --> 00:19:25,200
+عندنا ال ball a grip mounting secure انه بتضمن
+
+195
+00:19:25,200 --> 00:19:30,820
+العدسة في مكانها من خلال اللي هو ملاقطيتم اللي هو
+
+196
+00:19:30,820 --> 00:19:37,520
+ربطها مع اللي هو bar steel زي اللي هو فلاد يعني
+
+197
+00:19:37,520 --> 00:19:42,880
+steel من الفلاد that fits عشان يضمن اللي هو ان
+
+198
+00:19:42,880 --> 00:19:47,620
+فيها proper fit يعني fit ملائم او مناسب وين؟ في
+
+199
+00:19:47,620 --> 00:19:53,300
+منطقة النازل and a temporal notch وبيكون فيها زي
+
+200
+00:19:53,300 --> 00:19:59,130
+لكمة في منطقة اللي هو ال temporal تمام؟حتى انه
+
+201
+00:19:59,130 --> 00:20:03,050
+تمسك اللي هو العدسة او يتم اللي هو ربطها مع ال
+
+202
+00:20:03,050 --> 00:20:10,490
+timble ال lens can be easily removed by pulling
+
+203
+00:20:10,490 --> 00:20:15,790
+the clips back from the lens الان العدسة بسهولة
+
+204
+00:20:15,790 --> 00:20:20,550
+ممكن تسقط مجلبة ايش؟ انه تنفك هذه الملاكط او يصير
+
+205
+00:20:20,550 --> 00:20:25,030
+لها رجوع ل اللي هو الخلفانه ممكن يعني سهولة اللي
+
+206
+00:20:25,030 --> 00:20:29,530
+هو سقوط العدسة من خلال هذا النوع من العدسة من
+
+207
+00:20:29,530 --> 00:20:38,070
+النضارات for this reason لهذا السبب this type of
+
+208
+00:20:38,070 --> 00:20:43,270
+mounting can be used with more than one pair of
+
+209
+00:20:43,270 --> 00:20:47,610
+lenses for the same frame يعني لهذا السبب انه
+
+210
+00:20:47,610 --> 00:20:52,800
+سهولة اللي هو سقوط العدساتخلّوا اكتر من اللي هو
+
+211
+00:20:52,800 --> 00:20:57,720
+زوج من العدسات يتم اللي هو استخدامهم في داخل اللي
+
+212
+00:20:57,720 --> 00:21:02,640
+هو الإطار الواحد ممكن العدسات هذه تكون sun lenses
+
+213
+00:21:02,640 --> 00:21:06,820
+او ممكن تكون ملونة يعني photo brown او photo grey
+
+214
+00:21:06,820 --> 00:21:13,060
+تمام او ممكن هذه العدسات تكون مثلا MC يعني في زوج
+
+215
+00:21:13,060 --> 00:21:17,720
+اخر من العدسات تيجي مع هذه النضرات بسبب اللي هو
+
+216
+00:21:17,720 --> 00:21:23,370
+سقوطها بسرعةأو إنه بمعنى آخر إنه بتم اللي هو اتدمج
+
+217
+00:21:23,370 --> 00:21:28,670
+إلها بشكل سريع إذا
+
+218
+00:21:28,670 --> 00:21:36,030
+sun lenses special purpose lenses or tinted lenses
+
+219
+00:21:36,030 --> 00:21:41,590
+could then be usedinterchangeably with the
+
+220
+00:21:41,590 --> 00:21:45,390
+patients regular lenses يعني يمكن استخدامها
+
+221
+00:21:45,390 --> 00:21:49,270
+بالتبادل مع اللي هو النضارات أو العدسات اللي
+
+222
+00:21:49,270 --> 00:21:54,870
+موجودة اللي بتتم استخدامها بشكل اللي هو منتظم يعني
+
+223
+00:21:54,870 --> 00:22:03,370
+اللي بمعنى عدسات المريض اللي هي الأصلية تمام okay
+
+224
+00:22:22,370 --> 00:22:31,510
+الان مكتفه في ذلك قال لك انه ممكن نعمل ايش نوتش
+
+225
+00:22:31,510 --> 00:22:32,430
+تمام
+
+226
+00:22:40,830 --> 00:22:45,710
+و ممكن ايضا اللي هو نعمل زي اللي هو ايه ال screw
+
+227
+00:22:45,710 --> 00:22:52,130
+يعني النضارة نفسها اللي ال poly grip انه يكون فيها
+
+228
+00:22:52,130 --> 00:22:56,590
+notch و في نفس الوقت ايش كمان يثبتها اللي هو grip
+
+229
+00:22:56,590 --> 00:23:00,870
+يثبتها اللي هو ال screw يعني هنا هيكون ال screw
+
+230
+00:23:00,870 --> 00:23:11,560
+تمام زاد ال notchكنت مش احنا حكينا انه سهل اللي هو
+
+231
+00:23:11,560 --> 00:23:15,500
+السقوط من خلال اللي هو الـ notch فبكيف انا بدي
+
+232
+00:23:15,500 --> 00:23:20,760
+اثبتها اكتر بعملها ثقوب و من خلال هذه الثقوب بضع
+
+233
+00:23:20,760 --> 00:23:25,940
+اللي هو الـ screw يعني هسمح بالمحافظة على هذه
+
+234
+00:23:25,940 --> 00:23:32,760
+العدسات تمام؟ to length عشان يقرض لي ال stability
+
+235
+00:23:32,760 --> 00:23:37,620
+الثبات لهذه ال mounting او لهذا النوع من اللي هو
+
+236
+00:23:37,620 --> 00:23:54,950
+العدساتتمام اقرب
+
+237
+00:23:54,950 --> 00:23:57,610
+bridge area construction
+
+238
+00:24:04,500 --> 00:24:10,140
+can be constructed of either plastic or metal
+
+239
+00:24:10,140 --> 00:24:15,420
+construction يعني بمعنى اللي هو صناعة ال bridge
+
+240
+00:24:15,420 --> 00:24:21,760
+area صناعتها ممكن يكون من إيش؟ إما ال plastic أو
+
+241
+00:24:21,760 --> 00:24:29,320
+اللي هو يكون ال metal طيب فكركم مين الأكتر شيوع؟
+
+242
+00:24:29,320 --> 00:24:34,170
+ال plastic ولا ال metal؟ ممتازينإذا الأكتر شيوعا
+
+243
+00:24:34,170 --> 00:24:48,070
+هي تعتبر الـ Plastic Bridge Because of
+
+244
+00:24:48,070 --> 00:24:53,770
+the variety of nose shapes أنه أشكال اللي هو الأنف
+
+245
+00:24:53,770 --> 00:24:57,170
+بتكون مختلفة صح ولا لأ؟
+
+246
+00:24:59,880 --> 00:25:06,500
+there is also quite an assortment of a bridge
+
+247
+00:25:06,500 --> 00:25:11,800
+construction in both materials أيضا هناك في مجموعة
+
+248
+00:25:11,800 --> 00:25:17,040
+من الاختلافات في اللي هو الأشكال المتعلقة بشكل مين
+
+249
+00:25:17,040 --> 00:25:22,960
+ال bridge يعني نتيجة اختلاف ال nose لاللي هو البشر
+
+250
+00:25:22,960 --> 00:25:28,440
+في هناك مجموعة متنوعة أو مجموعة مختلفة من أشكال
+
+251
+00:25:28,440 --> 00:25:34,280
+مينالـ nose pad طبعاً لكل ال material سواء ال
+
+252
+00:25:34,280 --> 00:25:40,200
+plastic أو اللي هو ال metal ال plastic bridge أو
+
+253
+00:25:40,200 --> 00:25:47,700
+ال metal bridge نيجي ل ال plastic bridge ال bridge
+
+254
+00:25:47,700 --> 00:25:53,860
+area of a plastic frame is periformed إيش معناه
+
+255
+00:25:53,860 --> 00:25:55,120
+كلمة periformed؟
+
+256
+00:25:57,480 --> 00:26:01,720
+بتم اللي هو عملها أو اللي هو تجهيزها أو إحضارها
+
+257
+00:26:01,720 --> 00:26:07,960
+and sits directly on the bridge of the nose بحيث
+
+258
+00:26:07,960 --> 00:26:12,260
+إنه تكون ملتسقة بشكل اللي هو مباشر على مين على ال
+
+259
+00:26:12,260 --> 00:26:20,500
+nose تمام؟ إذا مرة أخرى ال bridge area يتم اللي هو
+
+260
+00:26:20,500 --> 00:26:26,680
+صناعتها بحيث إنه تكون بشكل مباشر موجودة على الأنف
+
+261
+00:26:27,400 --> 00:26:31,220
+Okay it's
+
+262
+00:26:31,220 --> 00:26:36,800
+important than in picking out ايش معنى picking
+
+263
+00:26:36,800 --> 00:26:43,960
+out؟ بالضبط اللي هو التقاط a plastic frame that
+
+264
+00:26:43,960 --> 00:26:48,980
+the frame fit the nose well يعني من السهل اني
+
+265
+00:26:48,980 --> 00:26:55,640
+ألتقط ال bridge center المناسب لمين؟ للأنف بتاع
+
+266
+00:26:55,640 --> 00:27:01,440
+الشخصSince adjustments to this part of the frame
+
+267
+00:27:01,440 --> 00:27:05,880
+are extremely difficult لأن هنا في مشكلة ان لو انا
+
+268
+00:27:05,880 --> 00:27:11,900
+اخترت ال bridge لصين او لصاد بيصبح من الصعب ايش
+
+269
+00:27:11,900 --> 00:27:17,560
+تغيره زي الان لو مثلا اجالك عدسة على المركز كانت
+
+270
+00:27:17,560 --> 00:27:23,600
+مقصورة من المنتصف من الصعب ان اغير ايش ال bridgeصح
+
+271
+00:27:23,600 --> 00:27:26,940
+ولا لأ؟ إذاً هذا يعتبر extremely difficult يعني
+
+272
+00:27:26,940 --> 00:27:33,780
+نوعًا ما إنه صعب في عملية اللي هو الاستبدال Bridge
+
+273
+00:27:33,780 --> 00:27:40,060
+adjustments for certain plastics إيش المواد اللي
+
+274
+00:27:40,060 --> 00:27:45,440
+مصنوعة منها ال bridge ال plastic؟ في عندنا نيلون
+
+275
+00:27:45,440 --> 00:27:52,560
+في عندنا الكربون fiber andPolyamide are not
+
+276
+00:27:52,560 --> 00:27:58,460
+possible يعني هذه المواد اللي بتتم من خلالها تصنيع
+
+277
+00:27:58,460 --> 00:28:04,560
+اللي هو ال bridge center التلاتة الآن بيصبح من
+
+278
+00:28:04,560 --> 00:28:09,520
+اللي هو صعب عملية استبدالها بسهولة من خلال اللي هو
+
+279
+00:28:09,520 --> 00:28:15,720
+bridge آخر أو غير محتمل اللي هو عملية الاستبدال
+
+280
+00:28:15,720 --> 00:28:16,100
+لها
+
+281
+00:28:22,060 --> 00:28:28,100
+The saddle bridge يعني شكل ال bridge زي بيكون اللي
+
+282
+00:28:28,100 --> 00:28:33,860
+هو السرج بتاع الجمل تمام؟ والآن اللي معظم يما
+
+283
+00:28:33,860 --> 00:28:38,240
+بيكون عندهم اللي هو plastic bridge بيكون شكله زي
+
+284
+00:28:38,240 --> 00:28:44,830
+اللي هو سرج الجملis shaped like a saddle in a
+
+285
+00:28:44,830 --> 00:28:49,310
+smooth curve.الان اللابسين نضارات اعمل على اللي هو
+
+286
+00:28:49,310 --> 00:28:54,970
+ال bridge هتلاقي انه smooth من فوق، smooth اللي هو
+
+287
+00:28:54,970 --> 00:28:58,650
+curve، في منحنة ناعم صح ولا لأ زي اللي هو ال curve
+
+288
+00:29:01,700 --> 00:29:06,380
+and follows the bridge of the nose طيب هذا المنحنى
+
+289
+00:29:06,380 --> 00:29:14,120
+الناعم او اللي هو ال .. اه ال smooth ايش هيتبعه؟
+
+290
+00:29:14,120 --> 00:29:17,740
+هيتبعه اللي هو منطقة ال bridge اللي بتكون directly
+
+291
+00:29:17,740 --> 00:29:22,760
+to the nose بشكل مباشر ملتصق مع مين؟ مع ال nose
+
+292
+00:29:24,900 --> 00:29:30,660
+بمعنى آخر أنه سيتكون من منطقة top part ومن منطقة
+
+293
+00:29:30,660 --> 00:29:38,580
+directly to the nose هذه منطقة كل هيتها وهي عبارة
+
+294
+00:29:38,580 --> 00:29:49,980
+عن السدل وهذه المنطقة اللي بتكون directly to
+
+295
+00:29:49,980 --> 00:29:50,480
+the nose
+
+296
+00:29:54,450 --> 00:30:14,830
+انت بتلاقي انه ملتسقة مع الـ nose okay الان
+
+297
+00:30:14,830 --> 00:30:19,610
+يا جماعة العضمة البارزة في الأنف هذه بيسموها crest
+
+298
+00:30:20,690 --> 00:30:25,870
+اللي هي قمة العضمة، اللي هي قمة الأنف، بنسميها
+
+299
+00:30:25,870 --> 00:30:32,290
+اللي هي crest الآن احنا ليش بنعمل الصدل اللي هو
+
+300
+00:30:32,290 --> 00:30:37,460
+بيمثل وين بيكون موجود على ال crest؟والجزء الآخر
+
+301
+00:30:37,460 --> 00:30:41,940
+بيكون موجود وين؟ على باقي الأنف طب احنا ليش بنعمل
+
+302
+00:30:41,940 --> 00:30:47,120
+هذه القضية؟ قال لي عشان نخفف من وزن العدسات او
+
+303
+00:30:47,120 --> 00:30:52,340
+نوزع اللي هو نعمل express اللي هو توزيع لمين؟
+
+304
+00:30:52,340 --> 00:30:56,660
+للوزن بتاع العدسات بحيث انه مايكونش العدسة التقل
+
+305
+00:30:56,660 --> 00:31:01,690
+تاحة فقط على اللي هو مين منطقة واحدةفبنعمل اللي هو
+
+306
+00:31:01,690 --> 00:31:07,710
+كتوزيع لقوة أو توزيع لوزن العدسات في ال right و ال
+
+307
+00:31:07,710 --> 00:31:13,950
+left هاي الهدف من ذلك okay؟
+
+308
+00:31:13,950 --> 00:31:19,490
+الآن هم ايش عملوا؟ عملوا قضية مهمة انه modified
+
+309
+00:31:19,490 --> 00:31:24,090
+ايش معنات modified؟ تعديل اللي هو modification مية
+
+310
+00:31:24,090 --> 00:31:30,600
+في المية يعني بمعنى اللي هو تطوير صح؟In the
+
+311
+00:31:30,600 --> 00:31:37,120
+modified saddle, the bridge area looks much the
+
+312
+00:31:37,120 --> 00:31:43,500
+same as the saddle bridge does when viewed from
+
+313
+00:31:43,500 --> 00:31:44,100
+the front
+
+314
+00:31:48,040 --> 00:31:53,160
+الان لو احنا اطلعنا .. لو انا لابس النضارة فاطلعنا
+
+315
+00:31:53,160 --> 00:31:58,620
+من منطقة ال front هتلاقي ان النضارة شكلها بالضبط
+
+316
+00:31:58,620 --> 00:32:04,040
+زي مين ال saddle bridge زي الشكل الاول لو اطلعت من
+
+317
+00:32:04,040 --> 00:32:09,140
+منطقة ال front ولكن لو اطلعت من منطقة اللي هو ال
+
+318
+00:32:09,140 --> 00:32:14,470
+backهتلاحظ انه فيه هناك ايش تقارب كبير ما بين ال
+
+319
+00:32:14,470 --> 00:32:18,910
+bridge و ما بين العدستين ايه؟ طيب الشكل عندكم؟
+
+320
+00:32:18,910 --> 00:32:24,730
+تمام؟ اذا in the modified saddle في عملية اللي هو
+
+321
+00:32:24,730 --> 00:32:31,990
+تعديل السرج ال bridge area looks much the same as
+
+322
+00:32:31,990 --> 00:32:37,710
+the saddle bridge من المنطقة الأماميةDoes when
+
+323
+00:32:37,710 --> 00:32:41,210
+viewed from the front لكن اما انا بتطلع من ال back
+
+324
+00:32:41,210 --> 00:32:48,390
+هيكون مختلف The difference is that there are nose
+
+325
+00:32:48,390 --> 00:32:54,490
+pads that are part of the back of the bridge الان
+
+326
+00:32:54,490 --> 00:32:58,650
+ايش ملاحظين ال nose pad جزء من اللي هو ال bridge
+
+327
+00:32:58,650 --> 00:33:03,410
+من المنطقة الخلفية لمين للنضارة
+
+328
+00:33:04,410 --> 00:33:08,370
+يعني الآن مرة تانية، لو أنا لابس النضارة، هتلاحظ
+
+329
+00:33:08,370 --> 00:33:13,630
+من الـ front view أنه كأنه مشابه للـ saddle bridge
+
+330
+00:33:13,630 --> 00:33:17,890
+الآن لو احنا مسكنا النضارة و طلعنا من ال back،
+
+331
+00:33:17,890 --> 00:33:22,250
+هتلاحظ أن الـ nose pad مرتبط بشكل مباشر مع مين؟ مع
+
+332
+00:33:22,250 --> 00:33:27,670
+ال bridge، okay؟ وبرضه الهدف من ذلك عملية اللي هو
+
+333
+00:33:27,670 --> 00:33:34,160
+توزيعالـ weight اللي هو للعدسات على الإطار بشكل
+
+334
+00:33:34,160 --> 00:33:37,880
+كامل
+
+335
+00:33:37,880 --> 00:33:42,660
+These paths help to carry some of the weight of
+
+336
+00:33:42,660 --> 00:33:46,780
+the frame إيش مانعت carry؟ أنه بتحمل اللي هو الوزن
+
+337
+00:33:46,780 --> 00:33:51,660
+على اللي هو الإطار، بتعمل عملية حمل للوزن
+
+338
+00:33:57,650 --> 00:34:04,470
+الان الشكل هذا ايش بديكم احق الشكل
+
+339
+00:34:04,470 --> 00:34:09,710
+بتاع ال bridge هذا فاكرين المفتاح الجديم بتاع
+
+340
+00:34:09,710 --> 00:34:14,670
+الدور نفس المفتاح القديم صح ولا لأ ال key hole
+
+341
+00:34:14,670 --> 00:34:18,810
+بتاعه تمام ماذا ذاكرين المفتاح الجديم نفس الاشي
+
+342
+00:34:18,810 --> 00:34:24,690
+اذا the key hole a bridge is shaped like an old
+
+343
+00:34:24,690 --> 00:34:29,370
+fashioned key holeيعني شكل اللي هو ال bridge بيكون
+
+344
+00:34:29,370 --> 00:34:34,050
+مشابه او مطابق لشكل اللي هو المفتاح القديم او
+
+345
+00:34:34,050 --> 00:34:40,410
+مفتاح الطراز القديم at the top the bridge flares
+
+346
+00:34:40,410 --> 00:34:45,690
+out slightly الان في المنطقة اللي هي ال top هان
+
+347
+00:34:45,690 --> 00:34:52,950
+بتلاحظ انه مافيش احتكاك اللي هو مباشر مع مين؟ مع
+
+348
+00:34:52,950 --> 00:34:58,260
+ال crestيعني هتلاحظ إن لحد ما تنزل النضارة بيبدأ
+
+349
+00:34:58,260 --> 00:35:02,300
+هناك فيه إيش اللي هو احتكاك ما بين ال bridge و ما
+
+350
+00:35:02,300 --> 00:35:05,960
+بين مين ال keyhole أو ال bridge
+
+351
+00:35:09,590 --> 00:35:16,570
+البرج يبقى على صفحة النظارة ولكن ليس على اكريسك
+
+352
+00:35:16,570 --> 00:35:23,050
+الان عندما تنزل النضارة هتلاحظ ان التوزيع بتاع ال
+
+353
+00:35:23,050 --> 00:35:28,030
+frame كله مش هيكون فقط وين على ال اكريسك اللي هي
+
+354
+00:35:28,030 --> 00:35:33,490
+قمة العضمة تحت النظارة لكن موزع على ال two part of
+
+355
+00:35:33,490 --> 00:35:35,410
+the nose من ال right و من ال left
+
+356
+00:35:43,980 --> 00:35:51,400
+Okay metal bridge the bridge commonly used in
+
+357
+00:35:51,400 --> 00:35:58,440
+metal frames is the bad bridge يعني الأكتر اللي هو
+
+358
+00:35:58,440 --> 00:36:02,760
+شيوعا من ناحية الاستخدام في اللي هو ال metal
+
+359
+00:36:02,760 --> 00:36:11,580
+frames هو عبارة عن مين ال bad bridge تمام؟In the
+
+360
+00:36:11,580 --> 00:36:17,160
+pad bridge, nose pads are attached to the frame by
+
+361
+00:36:17,160 --> 00:36:22,980
+metal pad arms.الآن الـ attached اللي هو الربط
+
+362
+00:36:22,980 --> 00:36:26,880
+بتاعه، هيكون لازم مرتبط بيه اللي هو ال bad arm،
+
+363
+00:36:26,880 --> 00:36:30,520
+يعني مش هيكون اللي هو لحاله، يعني لازم يكون مرتبط
+
+364
+00:36:30,520 --> 00:36:35,440
+أول حاجة ال bridge بقطعة معدنية اللي بتمسك مين؟ ال
+
+365
+00:36:35,440 --> 00:36:36,120
+nose pad
+
+366
+00:36:38,790 --> 00:36:44,650
+مرة تانية الان لازم ان يكون ال bridge هذا المعدني
+
+367
+00:36:44,650 --> 00:36:50,830
+مرتبط في مين؟ ال bad arm ال bad arm هتكون ماسكة
+
+368
+00:36:50,830 --> 00:36:58,430
+مين؟ النصبات okay in this case the bath alone
+
+369
+00:36:58,430 --> 00:37:01,950
+support the weight of the glasses ايضا اللي هو
+
+370
+00:37:01,950 --> 00:37:08,290
+بيعمل توزيع للوزن وين؟ وزن اللي هو النضارةتمام
+
+371
+00:37:08,290 --> 00:37:13,310
+يعني ال weight هيكون غير متساوي بمعنى اخر انه
+
+372
+00:37:13,310 --> 00:37:20,310
+هيكون فيه توزيع على كل اللي هو مين النضارة when a
+
+373
+00:37:20,310 --> 00:37:25,030
+metal frame is equipped with a clear plastic
+
+374
+00:37:25,030 --> 00:37:29,910
+saddle type bridge the bridge type is referred to
+
+375
+00:37:29,910 --> 00:37:35,230
+as a comfort bridge يعني يما يكون اللي هو تجهيز
+
+376
+00:37:36,030 --> 00:37:43,030
+Metal Frame يعني كله معدن مع اللي هو Plastic
+
+377
+00:37:43,030 --> 00:37:48,770
+Bridge يعني الآن عندي إطار كله معدن فقط ال bridge
+
+378
+00:37:48,770 --> 00:37:53,430
+كان هو إيش؟ Plastic في هذه الحالة اسم ال bridge
+
+379
+00:37:53,430 --> 00:37:56,170
+إيش بنسميه؟ comfort bridge
+
+380
+00:37:59,290 --> 00:38:03,450
+الان مرة تانية عندنا إطار كله معدن فقط ال bridge
+
+381
+00:38:03,450 --> 00:38:08,230
+كان من مادة بلاستيكية سواء النيلون أو سواء اللي هو
+
+382
+00:38:08,230 --> 00:38:15,650
+بعض المواد اللي هو ال fiber تمام؟ الان فقط ال
+
+383
+00:38:15,650 --> 00:38:19,910
+bridge كان عبارة عن ال plastic هذا النوع من ال
+
+384
+00:38:19,910 --> 00:38:21,810
+bridge بنسميه bridge comfort
+
+385
+00:38:26,740 --> 00:38:33,500
+Metal and rimless frames were and sometimes still
+
+386
+00:38:33,500 --> 00:38:39,020
+are constructed with a metal saddle bridge and
+
+387
+00:38:39,020 --> 00:38:46,780
+enjoyed widespread use for a period of history إذن
+
+388
+00:38:46,780 --> 00:38:53,260
+عندنا الميتل والريملس كانوا
+
+389
+00:38:54,150 --> 00:38:58,030
+وما زالوا الان بعض الأحيان اللى هو كتركيب اللهم
+
+390
+00:38:58,030 --> 00:39:03,990
+باستخدموا مين ال metal اللى هو صدل تمام وكان اللى
+
+391
+00:39:03,990 --> 00:39:12,070
+هو عبر التاريخ منتشر اللى هو بشكل واسع هي
+
+392
+00:39:12,070 --> 00:39:19,530
+عندنا الإطار أنه هيكون rimless بالإضافة أنه metal
+
+393
+00:39:20,020 --> 00:39:25,700
+واللي هو شكلته زي اللي هو saddle تمام؟ هيكون بشكل
+
+394
+00:39:25,700 --> 00:39:30,780
+اللي هو كان يعني منتشر بشكل اللي هو موسع في عبر
+
+395
+00:39:30,780 --> 00:39:36,300
+اللي هو التاريخ it may yet appear exactly as
+
+396
+00:39:36,300 --> 00:39:42,460
+before or decoratively in conjunction with Noah's
+
+397
+00:39:42,460 --> 00:39:48,760
+bathيعني حاليا انه متوفر لكن لابد ان يكون مرتبط مع
+
+398
+00:39:48,760 --> 00:39:55,060
+مين؟ مع ال nose pads تمام؟ يعني مش لحاله يعني لازم
+
+399
+00:39:55,060 --> 00:39:59,320
+مايكونش اللي هو free لابد ان يكون هناك ارتباط ما
+
+400
+00:39:59,320 --> 00:40:05,220
+بين ال bridge و ما بين ال nose pad with rimless
+
+401
+00:40:05,220 --> 00:40:10,660
+mountains the crest of the bridge doesn't include
+
+402
+00:40:10,660 --> 00:40:11,540
+the bath
+
+403
+00:40:20,540 --> 00:40:26,660
+الان لو المريض حاول يرتدي النضارة هذه، تمام؟ الان
+
+404
+00:40:26,660 --> 00:40:31,500
+هتنزل لمين؟ لمنتصف اللي هو ال bridge يعني بمعنى
+
+405
+00:40:31,500 --> 00:40:34,920
+اخر انه مش هيكون الاحتكاك مباشر ما بين ال bridge و
+
+406
+00:40:34,920 --> 00:40:40,280
+مين و ال crestفهيصير الهوة توزية ل ال bridge
+
+407
+00:40:40,280 --> 00:40:45,860
+حوالين ال two sides بتاعت ال nose الخاصة بالهو ال
+
+408
+00:40:45,860 --> 00:40:53,680
+human طبعا الهدف من ذلك دايما هو عملية توزيع الثقل
+
+409
+00:40:53,680 --> 00:41:00,070
+أو عملية توزيع لوزن العدساتبحيث انه يكون الوزن
+
+410
+00:41:00,070 --> 00:41:05,850
+ملائم ما بين الـ two sides ومايحملش بشكل اللي هو
+
+411
+00:41:05,850 --> 00:41:13,610
+كبير عمين على ال crest طيب نقف ان شاء الله لمرحلة
+
+412
+00:41:13,610 --> 00:41:17,970
+هذه وان شاء الله في المحاضرة القادمة نكمل أي سؤال
+
+413
+00:41:17,970 --> 00:41:20,510
+فيه؟ يعطيكم العافية
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/66h4nZmDbEA_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/66h4nZmDbEA_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..c47ea5eef5acb99a6fa1dad5d83fde4d8459e174
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/66h4nZmDbEA_postprocess.srt
@@ -0,0 +1,1864 @@
+1
+00:00:20,860 --> 00:00:23,680
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,680 --> 00:00:27,060
+وبركاته and a very good morning to all of you
+
+3
+00:00:27,060 --> 00:00:32,200
+هنبدأ اليوم ان شاء الله في موضوع ال in-piece
+
+4
+00:00:32,200 --> 00:00:38,040
+construction in-piece construction like the bridge
+
+5
+00:00:38,040 --> 00:00:44,600
+area construction اي بمعنى ان صناعة ال in-piece هي
+
+6
+00:00:44,600 --> 00:00:48,880
+مشابهة لصناعة مين ال bridge اللي بيكون ما بين ال
+
+7
+00:00:48,880 --> 00:00:55,280
+two lensesOkay can be of either plastic or metal
+
+8
+00:00:55,280 --> 00:01:00,860
+يمكن تقسيمه إلى إما أن يكون ال plastic مصنوع من ال
+
+9
+00:01:00,860 --> 00:01:06,860
+plastic أو يمكن أن يكون مصنوع من ال metal نشوف
+
+10
+00:01:06,860 --> 00:01:11,120
+عندنا ال plastic in pieces اللي هو يعتبر أكتر
+
+11
+00:01:11,120 --> 00:01:11,900
+شيوعا
+
+12
+00:01:14,420 --> 00:01:18,980
+There are three general types of in-piece
+
+13
+00:01:18,980 --> 00:01:24,440
+construction in plastic frames إذا هناك تلاتة
+
+14
+00:01:24,440 --> 00:01:30,640
+أنواع أساسية لل in-piece construction مصنوعة من
+
+15
+00:01:30,640 --> 00:01:37,020
+إيه؟ من ال plastic النوع الأول the most common in
+
+16
+00:01:37,020 --> 00:01:42,080
+-piece construction is the pot type ال pot type
+
+17
+00:01:42,630 --> 00:01:47,630
+كمفهوم له او كتعريف in which the front is straight
+
+18
+00:01:47,630 --> 00:01:51,590
+شايفين هنا ال front كله يتقاش يعتبر straight
+
+19
+00:01:51,590 --> 00:01:58,310
+مستقيم تمام and the temple is flat و ال side او ال
+
+20
+00:01:58,310 --> 00:02:04,710
+temple بيكون عبارة عن مسطح بيعمل ما بينهم زاوية
+
+21
+00:02:04,710 --> 00:02:10,910
+قيمة الزاوية هذه بتكون قداش تسعين degreeإذا عندنا
+
+22
+00:02:10,910 --> 00:02:16,850
+مرة تانية ال bot type في عندنا أول حاجة بتكون من
+
+23
+00:02:16,850 --> 00:02:21,230
+ال front بيكون straight و عندنا ال temple بيكون
+
+24
+00:02:21,230 --> 00:02:25,450
+flat بشكل اللي هو زاوية في نقطة اللي هو الالتقاء
+
+25
+00:02:25,450 --> 00:02:30,390
+ما بينهما قيمة الزاوية هذه بتكون 90 degree هذا
+
+26
+00:02:30,390 --> 00:02:32,050
+النوع الأول أو ال bot type
+
+27
+00:02:37,160 --> 00:02:43,960
+النوع التاني the mitre in piece causes the frame a
+
+28
+00:02:43,960 --> 00:02:49,360
+front contact area and the temple both to meet at
+
+29
+00:02:49,360 --> 00:02:55,400
+a 45 degree angle الان نقطة التقاء ما بين ال
+
+30
+00:02:55,400 --> 00:02:59,040
+temple و ما بين اللي هو ال front ولكن الزاوية
+
+31
+00:02:59,040 --> 00:03:03,940
+هنقدش هتكون 45 degree بس هنضيفه 45 ل 60 degree
+
+32
+00:03:05,080 --> 00:03:10,380
+تمام؟ يعني بمعنى آخر لو الآن هي عندنا ال front
+
+33
+00:03:10,380 --> 00:03:15,140
+هيكون ال temple بالشكل هذا عامل زاوية كده؟ خمسة
+
+34
+00:03:15,140 --> 00:03:18,280
+وارعين لستين ديجري خدته للستلام
+
+35
+00:03:21,280 --> 00:03:24,600
+الستلة من الآن لما تجي مثلا زاوية خمسة واربعين او
+
+36
+00:03:24,600 --> 00:03:28,700
+ستين بتلاقي هاي الميار الميار عاملة زاوية ايش
+
+37
+00:03:28,700 --> 00:03:33,600
+بالشكل هذا الزاوية هذه قيمتها تقريبا من خمسة
+
+38
+00:03:33,600 --> 00:03:37,240
+وارعين لستين ديجري لكن على التسعين التنتين هتكون
+
+39
+00:03:37,240 --> 00:03:40,580
+على زاوية واحدة نفس الحاجة بالنسبة لمين لل in
+
+40
+00:03:40,580 --> 00:03:47,020
+piece construction النوع التالت in the turn back
+
+41
+00:03:47,020 --> 00:03:54,340
+typeThe frame in front bends around and meets the
+
+42
+00:03:54,340 --> 00:04:00,560
+temple end to end الآن إيش ملاحظين هنا؟ فيه ميلان
+
+43
+00:04:00,560 --> 00:04:04,960
+صح ولا لأ؟ يعني فيه اللي هو انحناق، الانحناق هذا
+
+44
+00:04:04,960 --> 00:04:10,080
+بكل مين؟ لأ ال front إذا منطقة ال front فيها
+
+45
+00:04:10,080 --> 00:04:14,980
+انحناق أو فيها ميلان و هذه هتقابل مين؟ ال temple
+
+46
+00:04:14,980 --> 00:04:21,690
+هتظلها لحد ديت اللي هو النهايةend to end تمام فهذا
+
+47
+00:04:21,690 --> 00:04:25,270
+ايش بنسميه اللي هو turn back time يعني فيه هناك
+
+48
+00:04:25,270 --> 00:04:29,870
+انحناء لل front تمام هيقابل اللي هو ال temple حتى
+
+49
+00:04:29,870 --> 00:04:34,570
+النهاية هذا نوع من أنواع ال in peace construction
+
+50
+00:04:34,570 --> 00:04:39,650
+هذا
+
+51
+00:04:39,650 --> 00:04:43,890
+كله اللي اتكلمنا عنهم التلت أنواع هم عبارة عن ال
+
+52
+00:04:43,890 --> 00:04:48,820
+plastic in peaceفي عندنا أيضا ال metal in piece
+
+53
+00:04:48,820 --> 00:04:55,460
+the traditional metal in piece has a construction
+
+54
+00:04:55,460 --> 00:05:01,040
+similar to the turn back in piece of the plastic
+
+55
+00:05:01,040 --> 00:05:06,580
+frame يعني هو ال in piece اللي مصنوع من ال metal
+
+56
+00:05:06,580 --> 00:05:12,000
+مشابه لمين او مماثل لاللي هو ال plastic لكن اي نوع
+
+57
+00:05:12,000 --> 00:05:16,790
+التالتاللي هو عبارة عن ال term bag اللي بيكون فيه
+
+58
+00:05:16,790 --> 00:05:23,490
+انحناء وبتقابل مع ال temple حتى النهاية، okay؟
+
+59
+00:05:23,490 --> 00:05:27,490
+هي بالشكل هذا، انه فيه hand عندنا زي انحناق
+
+60
+00:05:27,490 --> 00:05:31,150
+وبتقابل مع ال temple حتى النهاية شايفين كيف
+
+61
+00:05:31,150 --> 00:05:36,830
+الانحناق هذا؟ تمام؟ وفيه اللي هو meet ما بين ال
+
+62
+00:05:36,830 --> 00:05:40,290
+front و اللي هو ال temple حتى النهاية
+
+63
+00:05:43,320 --> 00:05:49,040
+There are now a wide variety of metal in-piece
+
+64
+00:05:49,040 --> 00:05:54,220
+designs يعني هناك تصميم مختلفة وأنواع اللي هو
+
+65
+00:05:54,220 --> 00:05:58,720
+مختلفة من ال in-piece الخاصة في مين اللي مصنوعة من
+
+66
+00:05:58,720 --> 00:06:04,840
+ال metal in-pieces are also noticeable by their
+
+67
+00:06:04,840 --> 00:06:09,100
+absence في بعض الأحيان احنا بنلاحظ ان في هنا غياب
+
+68
+00:06:09,100 --> 00:06:13,080
+لل in-piece يعني بيكون غير موجود أو غير حاضر تمام؟
+
+69
+00:06:14,840 --> 00:06:18,720
+Instead of an in-piece, some frames, fronts and
+
+70
+00:06:18,720 --> 00:06:23,880
+temples are made as one continuous piece يعني
+
+71
+00:06:23,880 --> 00:06:28,060
+التنتين هيكون عبارة عن إيه؟ قطعة واحدة زي الشكل
+
+72
+00:06:28,060 --> 00:06:33,680
+هذا الآن هيعنى منطقة ال front مقابلة مع مين؟ مع
+
+73
+00:06:33,680 --> 00:06:37,580
+اللي هو ال temple بس مافي هناك in-piece يعني
+
+74
+00:06:37,580 --> 00:06:41,420
+التواصل ما بينهم إيش مباشر طلع عنكم في الصورة إن
+
+75
+00:06:41,420 --> 00:06:45,460
+في هناك تواصل ما بين ال front و ال templeدون أي
+
+76
+00:06:45,460 --> 00:06:56,420
+تنحناء في منطقة الـ temple وهذه
+
+77
+00:06:56,420 --> 00:07:06,000
+خاصة في العدسات الريملس اللي ما بيكون لها الريم
+
+78
+00:07:10,140 --> 00:07:15,000
+إذا احنا أخدنا ال in piece construction can be
+
+79
+00:07:15,000 --> 00:07:19,180
+classified into two types إما بيكون plastic أو
+
+80
+00:07:19,180 --> 00:07:24,740
+بيكون metal ال plastic can be sub categorized into
+
+81
+00:07:24,740 --> 00:07:32,240
+three types إما بيكون عندنا both type أوالـ mitre
+
+82
+00:07:32,240 --> 00:07:36,920
+اللي هو type أو بيكون اللي هو turn back straight
+
+83
+00:07:36,920 --> 00:07:42,120
+بينما ال blast ال metal بيكون مشابه لمين لل turn
+
+84
+00:07:42,120 --> 00:07:47,280
+back اللي هو ال style بالنسبة
+
+85
+00:07:47,280 --> 00:07:54,180
+لل temple constructionTemples also vary greatly in
+
+86
+00:07:54,180 --> 00:07:58,320
+their construction يعني في هناك أنواع مختلفة
+
+87
+00:07:58,320 --> 00:08:05,640
+ومتنوعة من اللي هو ال temple لكن بالعموم في خمس
+
+88
+00:08:05,640 --> 00:08:10,360
+أنواع أساسية in general there are five major
+
+89
+00:08:10,360 --> 00:08:16,240
+categories ايش هما؟ اول نوع عندنا ال skull temples
+
+90
+00:08:16,240 --> 00:08:21,500
+ايش معناته ال skull؟جمجمة صح ولا لأ؟ مش الـ skull
+
+91
+00:08:21,500 --> 00:08:26,320
+اللي خدتوها في الاناتومي معناها جمجمة تمام؟ إذا
+
+92
+00:08:26,320 --> 00:08:32,980
+عندنا skull temples bent down إيش معناه bent؟ يعني
+
+93
+00:08:32,980 --> 00:08:40,380
+يميل أو ينحني down behind the ear إذا خلف اللي هو
+
+94
+00:08:40,380 --> 00:08:46,540
+الأذن and follow the counter of the skull و هيتبع
+
+95
+00:08:46,540 --> 00:08:52,490
+اللي هو لمحيط من الجمجمةOkay resting evenly
+
+96
+00:08:52,490 --> 00:08:58,570
+against it ومن الرات انه بتلاحظي انه بيريح بشكل
+
+97
+00:08:58,570 --> 00:09:04,770
+اللي هو مضاد، كيف يعني؟الان هي عندنا ال temple او
+
+98
+00:09:04,770 --> 00:09:11,250
+ال skull temple بتلاحظي انه هو بياخد محيط من ال
+
+99
+00:09:11,250 --> 00:09:16,950
+skullو بيكون اللي هو over the ear فوق اللي هو
+
+100
+00:09:16,950 --> 00:09:21,270
+الأذن بحيث ان الباحة تعت وين بتكون كلهيتها over
+
+101
+00:09:21,270 --> 00:09:24,990
+the ear زي الإطارات معظمها اللي احنا بنشوفها هي
+
+102
+00:09:24,990 --> 00:09:31,070
+عبارة عن ايه؟ اللي هو skull metal تمام؟
+
+103
+00:09:31,070 --> 00:09:37,630
+the bent down portion is narrower at the top الآن
+
+104
+00:09:37,630 --> 00:09:44,220
+في المنطقة هذه ايش بتلاحظي؟ان هان نحيفة او يعني
+
+105
+00:09:44,220 --> 00:09:47,600
+اللي هو فيه نحافة مقارنة في مين؟ في الـ bottom
+
+106
+00:09:47,600 --> 00:09:54,000
+تمام؟ يعني عندنا مره تانية في الـ skull temple انه
+
+107
+00:09:54,000 --> 00:09:59,680
+في منطقة الـ top هذه ال top و هذه عندنا المنطقة
+
+108
+00:09:59,680 --> 00:10:04,760
+هذه ال bottom ان
+
+109
+00:10:04,760 --> 00:10:08,920
+هان بتكون نحيفة مقارنة بمنطقة اللي هو ايه؟ ال
+
+110
+00:10:08,920 --> 00:10:14,390
+bottomإذا الـ bend down portion is narrower إنه
+
+111
+00:10:14,390 --> 00:10:19,810
+ضيق at the top of the ear and wideness إنه بيعرب
+
+112
+00:10:19,810 --> 00:10:31,130
+باتجاه ال end أو باتجاه البتم library
+
+113
+00:10:31,130 --> 00:10:39,600
+temples usually begin with an average widthيعني
+
+114
+00:10:39,600 --> 00:10:46,180
+غالبا بيكون فيه هناك ايش توسط لالهو العرض يعني
+
+115
+00:10:46,180 --> 00:10:51,820
+اللي هو العرض بتاعه بيكون اللي هو متوسط at the bot
+
+116
+00:10:51,820 --> 00:10:56,500
+and decrease يعني هان في ال bot type طلعوا معايا
+
+117
+00:10:56,500 --> 00:11:00,960
+في الصورة هان بتكون متوسط اللي هو average اللي هو
+
+118
+00:11:00,960 --> 00:11:06,400
+widthوهذا العرض اشماله بقل كل ما انا وين روحت and
+
+119
+00:11:06,400 --> 00:11:10,400
+decrease in width posteriorly الان انتوا ايش
+
+120
+00:11:10,400 --> 00:11:14,280
+بتلاحظوا كل ما انتقلنا من منطقة ال bot للنهاية
+
+121
+00:11:14,280 --> 00:11:20,720
+بتلاحظوا انه العرض اشماله بقل تمام؟
+
+122
+00:11:20,720 --> 00:11:25,780
+they are practically straight شو معنى practically
+
+123
+00:11:25,780 --> 00:11:30,610
+يعني من ناحية عملية تمام؟Straight بيكون اللي هو
+
+124
+00:11:30,610 --> 00:11:38,070
+مستقيم And hold the glasses اللي هو العدسات On
+
+125
+00:11:38,070 --> 00:11:42,750
+primarily يعني بالأساس هو بيمسك اللي هو العدسات
+
+126
+00:11:42,750 --> 00:11:48,230
+بحيث انه بيخليهم أمام عين المريض By pressure
+
+127
+00:11:48,230 --> 00:11:52,890
+بواسطة الضغط against the side of the head يعني من
+
+128
+00:11:52,890 --> 00:11:58,210
+خلال اللي هو الضغط على نهاية اللي هو مينالـ ear أو
+
+129
+00:11:58,210 --> 00:12:04,470
+نهاية اللي هو ال head الخاص في مين في المريض أيضًا
+
+130
+00:12:04,470 --> 00:12:10,290
+اللي مسمى آخر they are also known as straight back
+
+131
+00:12:10,290 --> 00:12:14,390
+temples يعني هذا عبارة عن another name لمن؟ لال
+
+132
+00:12:14,390 --> 00:12:20,520
+library اللي هو templesإذا ببساطة ال library تنبلز
+
+133
+00:12:20,520 --> 00:12:24,700
+إنه في منطقة ال bot بيكون العرض بتاعه متوسط
+
+134
+00:12:24,700 --> 00:12:28,680
+average اللي هو width كل ما روحنا للنهاية بتلاقي
+
+135
+00:12:28,680 --> 00:12:35,960
+إنه بقل طيب هو كيف بالأساس بيحافظ على إن العدسات
+
+136
+00:12:35,960 --> 00:12:41,590
+تكون أمام العين من خلال عملية الضغط على ال headلا
+
+137
+00:12:41,590 --> 00:12:46,610
+اللي هو المريض ال another name له بيسمى straight
+
+138
+00:12:46,610 --> 00:12:53,890
+back temples ايضا
+
+139
+00:12:53,890 --> 00:12:58,150
+عندنا convertible temples ايش مانعت convertible
+
+140
+00:12:58,150 --> 00:13:03,510
+temples يعني
+
+141
+00:13:03,510 --> 00:13:08,210
+ال temple اللي ممكن انه يتحول او يتبدل يعني تحويل
+
+142
+00:13:08,210 --> 00:13:13,820
+او تبديل اللي هو لمين لل templeيعني قابل للتحويل
+
+143
+00:13:13,820 --> 00:13:21,580
+أو قابل للتبديل Were
+
+144
+00:13:21,580 --> 00:13:27,480
+originally designed so they could be bent down to
+
+145
+00:13:27,480 --> 00:13:33,420
+take on the form of skull templesيعني بداية كانت
+
+146
+00:13:33,420 --> 00:13:38,900
+نشأته نشأة اللي هو إنه هذا بيسمى الإطار على إنه
+
+147
+00:13:38,900 --> 00:13:43,240
+convertible temple فكانت النشأة الأولى هو عبارة عن
+
+148
+00:13:43,240 --> 00:13:48,120
+skull temple فاكرينه ال skull اللي بيكون إيش؟ يعني
+
+149
+00:13:48,120 --> 00:13:52,820
+بيجي اللي هو على محيط اللي هو مين الجمجمة، تمام؟
+
+150
+00:13:54,160 --> 00:13:57,760
+converted from the straight back to the skull
+
+151
+00:13:57,760 --> 00:14:03,820
+design هو يمكن تحويله من library temple ل skull
+
+152
+00:14:03,820 --> 00:14:09,460
+temple يعني ممكن انا اغير فيه او ابدل اللي هو
+
+153
+00:14:09,460 --> 00:14:15,260
+بالشكل بتاعه نشوف كيف because this temple is
+
+154
+00:14:15,260 --> 00:14:20,000
+versatile يعني
+
+155
+00:14:20,000 --> 00:14:25,030
+متعدد الجوانب والاستعمالات تمام؟هذا الـ Timble
+
+156
+00:14:25,030 --> 00:14:28,770
+الميزة اللي فيه انه بتكون متعددة الجوانب
+
+157
+00:14:28,770 --> 00:14:34,770
+والاستعمالات and can be made to fit people with a
+
+158
+00:14:34,770 --> 00:14:39,490
+variety of timble length requirements it's
+
+159
+00:14:39,490 --> 00:14:44,510
+commonly used يعني حسب ال proper fit للمريض أنا
+
+160
+00:14:44,510 --> 00:14:51,250
+باستخدمه يعني دايما انه بتم عملية التبديل بناء على
+
+161
+00:14:51,250 --> 00:14:58,500
+أنسب حاجة للمريضOkay however it now comes already
+
+162
+00:14:58,500 --> 00:15:04,560
+bent down for a certain temple fit لكن الآن كلهي
+
+163
+00:15:04,560 --> 00:15:11,480
+تو إيش بيجي تمبل اللي هو fit يعني أقرب لمين ل ال
+
+164
+00:15:11,480 --> 00:15:16,410
+straight backتمام او لل library اللي هو timble
+
+165
+00:15:16,410 --> 00:15:21,250
+احنا قلنا في الأول كان منشأه عبارة عن skull timble
+
+166
+00:15:21,250 --> 00:15:26,970
+بعدين ممكن ان نحاوله من skull لمين ل library او
+
+167
+00:15:26,970 --> 00:15:31,610
+اللي هو tearing back نفس الاسم لكن الآن حاليا كله
+
+168
+00:15:31,610 --> 00:15:38,570
+يستخدم على انه library timble if the pen is in the
+
+169
+00:15:38,570 --> 00:15:43,580
+wrong locationلو كان موقعه غير صحيح أو خاطئ يعني
+
+170
+00:15:43,580 --> 00:15:48,000
+الآن انا اديت لمريض اطار وكان موقع ال timble هذا
+
+171
+00:15:48,000 --> 00:15:55,700
+غير صحيح يعني
+
+172
+00:15:55,700 --> 00:16:01,670
+يمكن اللي هو استقامته المنحنى هذا ممكن اعدلهOkay
+
+173
+00:16:01,670 --> 00:16:06,390
+out and then repaint to fit the wearer أنه بعمله
+
+174
+00:16:06,390 --> 00:16:10,450
+أول حاجة مستقيم اللي هو straighten ومن ثم بعمل
+
+175
+00:16:10,450 --> 00:16:15,610
+إعادة إيش ميلان لاللي هو نهاية ال temple بحيث أنه
+
+176
+00:16:15,610 --> 00:16:23,310
+يكون مناسب لهذا المريض okay هاي شايفين الشكل الأول
+
+177
+00:16:23,310 --> 00:16:27,830
+إيش هو عبارة عن skull temple صح ولا لأ لكن قال
+
+178
+00:16:27,830 --> 00:16:34,730
+للنهاية هذهممكن ان يتم عملية ازالتها وانحناقها
+
+179
+00:16:34,730 --> 00:16:41,110
+فبتصير عبارة عن library تمبل تمام ايضا ان لو هذه
+
+180
+00:16:41,110 --> 00:16:45,510
+ال location غير صحيح يمكن اللي هو تعديله ويعادت
+
+181
+00:16:45,510 --> 00:16:49,510
+اللي هو ال repaint بناء على ال fit of the patient
+
+182
+00:16:56,430 --> 00:17:01,690
+النوع الرابع هو عبارة عن riding bow timbals، إيش
+
+183
+00:17:01,690 --> 00:17:09,610
+معناه كلمة bow؟ قوس، يعني عبارة عن قوس بتركب، لا
+
+184
+00:17:09,610 --> 00:17:13,330
+اللي هو ال timble، هي شايفين انتوا؟ زي اللي هو ال
+
+185
+00:17:13,330 --> 00:17:19,410
+bow، زي القوس curve around the ear، إذا بيكون
+
+186
+00:17:19,410 --> 00:17:26,660
+منحنة حوالين الأذن following the approachهيتبعه
+
+187
+00:17:26,660 --> 00:17:31,180
+نقطة اللي هو التقاء وين هذه نقطة الالتقاء of the
+
+188
+00:17:31,180 --> 00:17:37,740
+ear where the ear مع اللي هو الأذن and the head
+
+189
+00:17:37,740 --> 00:17:45,300
+meet وهيقابل مين اللي هو الرأس okay and extend to
+
+190
+00:17:45,300 --> 00:17:50,400
+the level of the earlobe يعني هينتهي وين في شحمة
+
+191
+00:17:50,400 --> 00:17:57,220
+الأذن إذا مرة تانيةبالنسبة له ال riding bow
+
+192
+00:17:57,220 --> 00:18:04,180
+temples هو عبارة عن منحنة حوالين من الأذن، هيعمل
+
+193
+00:18:04,180 --> 00:18:08,460
+نقطة اللي هو التقاء، لحد ما يصل لنهاية إيه شحمة
+
+194
+00:18:08,460 --> 00:18:16,560
+الأذن They are sometimes used in children's and
+
+195
+00:18:16,560 --> 00:18:20,940
+safety framesأكتر اللي هو استخدامه مع اللي هو
+
+196
+00:18:20,940 --> 00:18:26,140
+الأطفال، يعني بمعنى إيش؟ إنه بيوفر حماية للطفل،
+
+197
+00:18:26,140 --> 00:18:30,420
+تمام؟ و أيضًا بيستخدم مع الحددين، يعني الآن لما
+
+198
+00:18:30,420 --> 00:18:34,800
+بيجي اللي هو بلحم، إنه بتلاقي هذه حماية له، عشان
+
+199
+00:18:34,800 --> 00:18:39,340
+ما يتضلهاش النضارة تسقط، فبتلاقي إنه ماسكة في مين؟
+
+200
+00:18:39,340 --> 00:18:42,960
+في اللي هو الـ earlobe، شحمة اللي هو الأذن، فهو
+
+201
+00:18:42,960 --> 00:18:47,000
+يعتبر أكتر اللي هو أمان لهدول الأشخاص
+
+202
+00:18:52,010 --> 00:18:58,710
+Comfort table temples are shaped the same as
+
+203
+00:18:58,710 --> 00:19:04,450
+riding bow temples يعني الشكل الخاص فيه هو مماثل
+
+204
+00:19:04,450 --> 00:19:11,670
+لمين؟ لشكل القوس تمام نفس الحاجة لكن فيه إضافة But
+
+205
+00:19:11,670 --> 00:19:17,310
+are of metal construction with the accrual لكن في
+
+206
+00:19:17,310 --> 00:19:23,720
+قطعة معدنية مضعفةهذه القطعة المعدنية مضافة على
+
+207
+00:19:23,720 --> 00:19:29,480
+الباو أو على القوس او behind the ear portion او
+
+208
+00:19:29,480 --> 00:19:35,840
+بنهاية الأذن from a flexible coiled cable يعني هنا
+
+209
+00:19:35,840 --> 00:19:40,620
+في عندنا القطعة المعدنية تمام هذه ايش بتساعد انه
+
+210
+00:19:40,620 --> 00:19:44,980
+بتكون flexible مرنة بحيث انه تعمل عملية مسك لأ
+
+211
+00:19:44,980 --> 00:19:51,310
+اللي هو الإطار يعني cableالغير الهدف منه انه يعمل
+
+212
+00:19:51,310 --> 00:19:56,970
+عملية اللي هو مرونة و اللي هو تثبيت للإطار اذا
+
+213
+00:19:56,970 --> 00:20:01,730
+الفرق ما بين ال comfort cable اللي هي timbles و ال
+
+214
+00:20:01,730 --> 00:20:05,750
+riding bow timbles ان هنا في عندنا ال flexible
+
+215
+00:20:05,750 --> 00:20:11,290
+coiled cable اللي هي القطعة المعدنية اللي بتكون
+
+216
+00:20:11,290 --> 00:20:16,580
+قابلة للتغيير او اللي هو بتكون flexible marinaطبعا
+
+217
+00:20:16,580 --> 00:20:22,320
+وين بترتبط؟ مع الـ ear loop اللي هي شحمة الأذن
+
+218
+00:20:22,320 --> 00:20:28,680
+بالنسبة لـ coloration إيش مانت coloration؟ تلوين
+
+219
+00:20:31,870 --> 00:20:37,070
+Plastic frames may be partially classified by
+
+220
+00:20:37,070 --> 00:20:43,030
+coloration يعني الإطارات اللي plastic يمكن اللي هو
+
+221
+00:20:43,030 --> 00:20:50,610
+تصنيفها بشكل جزء بناء على اللون فعنا number onea
+
+222
+00:20:50,610 --> 00:20:55,330
+solid a frame is all one color يعني كل الإطار
+
+223
+00:20:55,330 --> 00:20:59,510
+تقريبا بيكون لون واحد تمام؟ يعني الآن لو احنا
+
+224
+00:20:59,510 --> 00:21:05,250
+اتطلعنا على منطقة ال front على منطقة ال top rim او
+
+225
+00:21:05,250 --> 00:21:09,710
+منطقة ال bottom rim او منطقة ال bridge او منطقة ال
+
+226
+00:21:09,710 --> 00:21:15,970
+temple كلها تقريبا لون واحد تمام؟ هذا بنسميه a
+
+227
+00:21:15,970 --> 00:21:20,530
+solid a frame is all one color اتنين عندناA
+
+228
+00:21:20,530 --> 00:21:25,930
+vertically gradient ايش معناه كلمة gradient بمعنى
+
+229
+00:21:25,930 --> 00:21:31,070
+اللي هو تدريج مية في المية It's darker all the way
+
+230
+00:21:31,070 --> 00:21:35,930
+across the top منطقة اللي هو ال rim في ال top
+
+231
+00:21:35,930 --> 00:21:40,030
+بتلاقيها darker مضيقة اكتر او بمعنى لونها اكتر
+
+232
+00:21:40,030 --> 00:21:47,770
+غامق اكتر تمام في ال top ال top rimincluding the
+
+233
+00:21:47,770 --> 00:21:52,050
+bridge أيضًا ال bridge بتلاقي اللي هو darker and
+
+234
+00:21:52,050 --> 00:21:57,170
+is lighter أقل اللي هو إضاءة تمام أو أخف اللي هو
+
+235
+00:21:57,170 --> 00:22:01,050
+إضاءة وين بتكون across the bottom يعني الآن لو أنا
+
+236
+00:22:01,050 --> 00:22:07,410
+سألتك وين اللي هو ال darker color في ال top ولا ال
+
+237
+00:22:07,410 --> 00:22:11,250
+bottom؟ أكيد في ال top وبالإضافة لمين؟ لا اللي هو
+
+238
+00:22:11,250 --> 00:22:15,410
+ال bridgeبينما منطقة الـ bottom rim بتلاقيها
+
+239
+00:22:15,410 --> 00:22:22,730
+lighter than top rim هذه بالنسبة لـ a vertically a
+
+240
+00:22:22,730 --> 00:22:27,910
+gradient عندنا
+
+241
+00:22:27,910 --> 00:22:34,090
+a horizontally a gradient a frame is darker وين at
+
+242
+00:22:34,090 --> 00:22:38,550
+the temporal شايفين اللون غامق كتير وين في الأطراف
+
+243
+00:22:38,550 --> 00:22:43,940
+في ال temporal portionsand lightens towards the
+
+244
+00:22:43,940 --> 00:22:48,380
+ear كل ما إجينا باتجاه اللي هو .. عفوا باتجاه اللي
+
+245
+00:22:48,380 --> 00:22:51,400
+هو ال center كل ما إجينا باتجاه ال center بتلاقي
+
+246
+00:22:51,400 --> 00:22:56,840
+أنه بتفتح أكتر يعني هان غامق كتير أو واضح اللي هو
+
+247
+00:22:56,840 --> 00:23:00,780
+ال darker كتير هان إيش بتلاقيه أخف اللي هو lighter
+
+248
+00:23:00,780 --> 00:23:06,340
+than في منطقة ال center أو في منطقة ال bridge حتى
+
+249
+00:23:06,340 --> 00:23:13,330
+بتلاحظي هي أخفهن سواد غامق وهن إيش اللون الأخف هذه
+
+250
+00:23:13,330 --> 00:23:20,810
+a horizontally gradient تدريج اللي هو أفقي a
+
+251
+00:23:20,810 --> 00:23:25,730
+clear bridge a frames somewhat resemble يعني هي
+
+252
+00:23:25,730 --> 00:23:29,930
+بتكون مشابهة إلى حد ما من ال horizontal gradient
+
+253
+00:23:29,930 --> 00:23:34,890
+ولكن but are dark at the top أن ال top يكون dark
+
+254
+00:23:36,440 --> 00:23:41,420
+Except باستثناء ال bridge area يعني منطقة ال clear
+
+255
+00:23:41,420 --> 00:23:46,740
+bridge انه عندنا ال temporal هتكون dark تمام و
+
+256
+00:23:46,740 --> 00:23:51,560
+ايضا ايش كمان عندنا منطقة اللي هو ال top rim
+
+257
+00:23:51,560 --> 00:23:54,740
+باستثناء ال bridge هي اللي هيكون ايش اللي هو
+
+258
+00:23:54,740 --> 00:24:00,120
+lighter مقارنة في المناطق التانية okay the
+
+259
+00:24:00,120 --> 00:24:05,800
+multitude of color combinationsavailable now makes
+
+260
+00:24:05,800 --> 00:24:11,180
+categorization beyond this difficult الآن أيضًا في
+
+261
+00:24:11,180 --> 00:24:16,580
+هناك تصنيفات تانية أنه يمكن العمل بيها ولكن يعني
+
+262
+00:24:16,580 --> 00:24:23,040
+في ال .. في مساقنا هذا أنه مش هنتلبق لها عشان ما
+
+263
+00:24:23,040 --> 00:24:28,210
+نعملش اللي هو عملية إيش خربطة اللي هوفي كيفية اللي
+
+264
+00:24:28,210 --> 00:24:32,570
+هو تصنيف الـ plastic اللي هو الـ frame من خلال
+
+265
+00:24:32,570 --> 00:24:35,290
+اللون اللي هو اللون اللي هو اللون اللي هو اللون
+
+266
+00:24:35,290 --> 00:24:35,350
+اللون اللي هو اللون اللي هو اللون اللي هو اللون
+
+267
+00:24:35,350 --> 00:24:35,450
+اللي هو اللون اللي هو اللون اللي هو اللون اللي هو
+
+268
+00:24:35,450 --> 00:24:35,610
+اللون اللي هو اللون اللي هو اللون اللي هو اللون
+
+269
+00:24:35,610 --> 00:24:35,970
+اللي هو اللون اللي هو اللون اللي هو اللون اللي هو
+
+270
+00:24:35,970 --> 00:24:36,790
+اللون اللي هو اللون اللي هو اللون اللي هو اللون
+
+271
+00:24:36,790 --> 00:24:37,170
+اللي هو اللون اللي هو اللون اللي هو اللون اللي هو
+
+272
+00:24:37,170 --> 00:24:37,670
+اللي هو اللون اللي هو اللون اللي هو اللون اللي هو
+
+273
+00:24:37,670 --> 00:24:42,670
+اللون اللي هو اللون اللي هو اللون اللي هو اللون
+
+274
+00:24:42,670 --> 00:24:46,350
+اللي هو اللون اللي هو
+
+275
+00:24:56,410 --> 00:25:02,010
+إيش مانات allergic reactions؟ يعني ردت اللي هو
+
+276
+00:25:02,010 --> 00:25:09,250
+الفعل أو الحساسية اللي بتحدث مع ارتداء من ال frame
+
+277
+00:25:09,250 --> 00:25:15,770
+Most frame manufacturers will use a coating on
+
+278
+00:25:15,770 --> 00:25:22,470
+their plastic frames to protect the framesand also
+
+279
+00:25:22,470 --> 00:25:26,630
+to reduce any possibility of allergic reactions
+
+280
+00:25:26,630 --> 00:25:32,470
+معظم الأشخاص اللي بيصنعوا الإطارات الطبية
+
+281
+00:25:32,470 --> 00:25:39,150
+بيستخدموا اللي هي طبقة من الطلاق أو طبقة اللي هو
+
+282
+00:25:39,150 --> 00:25:45,070
+من التلوين تمام الهدف من هذه الطبقة أنه تعمل حماية
+
+283
+00:25:45,070 --> 00:25:50,960
+لمن؟ للإفريموالشغل التاني إذا في هناك أي تتفاعل ما
+
+284
+00:25:50,960 --> 00:25:56,220
+بين ال frame و الجسم بتاع اللي هو المريض أنه تخفف
+
+285
+00:25:56,220 --> 00:26:01,860
+هذا الألم هذا اللي هو الأمر يعني معظم الإطارات
+
+286
+00:26:01,860 --> 00:26:06,180
+اللي إحنا شايفينها ملبوسة لازم يكون عليها طبقة من
+
+287
+00:26:06,180 --> 00:26:08,880
+اللي هو ال coating طبقة طلائية
+
+288
+00:26:11,400 --> 00:26:17,720
+However sometimes this is not enough مع ذلك ان هذه
+
+289
+00:26:17,720 --> 00:26:22,480
+الطبقة الطلاقية في بعض الأحيان ما بتكون كافية
+
+290
+00:26:25,460 --> 00:26:29,940
+to reduce the possibility of a reaction for people
+
+291
+00:26:29,940 --> 00:26:34,480
+who have a history of skin reactions to wearing
+
+292
+00:26:34,480 --> 00:26:39,860
+Ephraims use Ephraim materials that are known to
+
+293
+00:26:39,860 --> 00:26:44,700
+be hypoallergenic الان لو احنا بنعرف شخص عنده
+
+294
+00:26:44,700 --> 00:26:49,760
+دايما حساسية في جلده تمام؟ الان لما انا بدى ادي
+
+295
+00:26:49,760 --> 00:26:56,140
+اطاربدي احاول ادي اطار يكون المادة المصلوعة منه
+
+296
+00:26:56,140 --> 00:27:00,980
+اقل اللي هو ايش تفاعلا او اقل حساسية نسميها
+
+297
+00:27:00,980 --> 00:27:06,080
+hypoallergenic تمام؟ يعني اقل اللي هو حساسية يعني
+
+298
+00:27:06,080 --> 00:27:09,580
+ماتعملش اللي هو reaction ما بين جسمه و ما بين
+
+299
+00:27:09,580 --> 00:27:10,100
+الإطار
+
+300
+00:27:12,960 --> 00:27:16,760
+Here are some that are reported to be
+
+301
+00:27:16,760 --> 00:27:22,000
+hypoallergenic، من هذه المواد اللي بتقلل الحساسية
+
+302
+00:27:22,000 --> 00:27:27,520
+ما بين الإطار و ما بين جسم اللي هو الشخص، في عندنا
+
+303
+00:27:27,520 --> 00:27:33,200
+optimal materialOptel Material هي عبارة عن Multi
+
+304
+00:27:33,200 --> 00:27:37,820
+-Polymer، إيش يعني Multi-Polymer؟ إنه Plastic
+
+305
+00:27:37,820 --> 00:27:42,860
+متعدد، يعني مصنوع من أكتر من مادة بلاستيكية، الإسم
+
+306
+00:27:42,860 --> 00:27:49,980
+التجاري بتاعه اسمه A Brand of Epoxy
+
+307
+00:27:49,980 --> 00:27:57,110
+Resinهذا الاسم التجاري الخاص في الـ optimal عنا a
+
+308
+00:27:57,110 --> 00:28:01,650
+brand of epoxy resin resin معناها plastic صح ولا
+
+309
+00:28:01,650 --> 00:28:16,250
+لأ يعني بمعنى multi polymer أيضا
+
+310
+00:28:16,250 --> 00:28:23,790
+عنا polyamide أوCoprolamide عندنا تيتانيوم و
+
+311
+00:28:23,790 --> 00:28:30,630
+stainless steel في هناك تلت خواص لهدول الأربع مواد
+
+312
+00:28:30,630 --> 00:28:36,410
+الخاصية الأولى انه تعتبر hypoallergenic يعني أقل
+
+313
+00:28:36,410 --> 00:28:41,330
+حساسية مع جسم اللي هو الإنسان أو أقل تفاعل مع اللي
+
+314
+00:28:41,330 --> 00:28:46,160
+هو مين مع جسم الإنسانالشغلة التانية انه
+
+315
+00:28:46,160 --> 00:28:50,860
+comfortable مريحة والشغلة التالتة انه lightweight
+
+316
+00:28:50,860 --> 00:28:55,400
+خفيفة الان ال stainless steel او التيتانيوم دايما
+
+317
+00:28:55,400 --> 00:28:59,760
+ايش بتلاحظه انه فيه خفة صح ولا لأ فهي المميزات
+
+318
+00:28:59,760 --> 00:29:09,400
+الخاصة بالتلت او الأربع مواد هدول if
+
+319
+00:29:09,400 --> 00:29:13,440
+a person is already having a reactions
+
+320
+00:29:26,100 --> 00:29:34,680
+الان المريض شعر ان فيه تفاعل ما بين الإطار و ما
+
+321
+00:29:34,680 --> 00:29:40,150
+بين جلدهتمام؟ الآن ايش بدنا نبدأ نعمل؟ نقول له هذا
+
+322
+00:29:40,150 --> 00:29:44,090
+الإطار غير مناسب إلك تمام؟ ولابد من اللي هو
+
+323
+00:29:44,090 --> 00:29:49,650
+استبداله لأنه إذا دل الإطار هذا لابسه الشخص هيبدأ
+
+324
+00:29:49,650 --> 00:29:54,330
+اللي هو يزيد عملية ال allergy الحساسية Have a
+
+325
+00:29:54,330 --> 00:29:58,290
+clear coat finish applied to a frame طيب هو غير
+
+326
+00:29:58,290 --> 00:30:04,590
+مقتدرانه يغير الإطار بناخد الإطار طبعاً هذه الشركة
+
+327
+00:30:04,590 --> 00:30:10,410
+وبتعمل له اللي هو coating طبقة طلاقية الهدف منها
+
+328
+00:30:10,410 --> 00:30:15,650
+انه تقلل عملية ايش التفاعل ما بين الجلد بتاع ال
+
+329
+00:30:15,650 --> 00:30:21,970
+patient و الإطار اوبتم استخدام ultra-thin ايش
+
+330
+00:30:21,970 --> 00:30:26,590
+معناه ultra-thin يعني طبقة رقيقة هي عبارة عن ال
+
+331
+00:30:26,590 --> 00:30:31,810
+tube انبيب صغيرة او انبيب رقيقة الهدف منها انه
+
+332
+00:30:31,810 --> 00:30:37,130
+تعمل ال shrink لل heat يعني تعمل اللي هو انكماش
+
+333
+00:30:37,130 --> 00:30:41,390
+لدرجة الحرارة او للحرارة الخاصة في الإطار يعني
+
+334
+00:30:41,390 --> 00:30:46,800
+تقلل اللي هو درجة الحرارةإذا نيوز ultra-thin،
+
+335
+00:30:46,800 --> 00:30:51,900
+clear heat shrink tubing over the temples طبعا هذه
+
+336
+00:30:51,900 --> 00:31:06,420
+كلها بالتم من خلال الشركات صناعة الإطارات If
+
+337
+00:31:06,420 --> 00:31:13,470
+a person has an allergic reaction to nose bathالان
+
+338
+00:31:13,470 --> 00:31:18,770
+لو الشخص عنده حساسية من المخدات الخاصة في النضارة
+
+339
+00:31:18,770 --> 00:31:24,750
+تمام؟ there are replacement paths اذا بدنا نعمل
+
+340
+00:31:24,750 --> 00:31:28,310
+عملية استبدال لهذه المخدات replacement في معنى
+
+341
+00:31:28,310 --> 00:31:33,230
+استبدال available that will eliminate the problem
+
+342
+00:31:33,950 --> 00:31:41,590
+أذا بدنا نستبدل بالهو امخدات أخرى تمام عشان انه
+
+343
+00:31:41,590 --> 00:31:46,990
+نعمل إزالة لهذه المشكلة طيب الامخدات الجديدة اللي
+
+344
+00:31:46,990 --> 00:31:51,930
+بدها تقلل ال reaction allergy تمام من إيش مصنوعة؟
+
+345
+00:31:51,930 --> 00:31:59,190
+أول حاجة عندنا gold plated metal nose bath يعني
+
+346
+00:31:59,190 --> 00:32:06,490
+هذه الامخدات بدها تكونمصارعة شوية أو بمعنى اللي هو
+
+347
+00:32:06,490 --> 00:32:12,330
+فيها مادة من اللي هو الدهب تمام؟ يعني مضاعف إلها
+
+348
+00:32:12,330 --> 00:32:19,540
+شيء من اللي هو الدهب أو عندنا تيتانيوم نوزبازأو
+
+349
+00:32:19,540 --> 00:32:23,180
+الـ crystal nose bath طبعا الـ crystal nose bath
+
+350
+00:32:23,180 --> 00:32:28,880
+اللي عبارة عن معدن، معدن اللي هو ال crystal يعني
+
+351
+00:32:28,880 --> 00:32:33,580
+معدن اللي هو ثمين هذول التلت مواد بيعملوا على اللي
+
+352
+00:32:33,580 --> 00:32:39,740
+هو تقليل ال reaction ما بين ال frame أو ما بين ال
+
+353
+00:32:39,740 --> 00:32:45,480
+nose bath و اللي هو ال skin الخاص بالشخصFor
+
+354
+00:32:45,480 --> 00:32:52,900
+allergic reactions to metal cable templesUse a
+
+355
+00:32:52,900 --> 00:32:57,180
+timber cover to cover the timber بعض الأحيان ال
+
+356
+00:32:57,180 --> 00:33:02,020
+timber نهايته بيكون عاملة أيضا ايش حساسية لجلد
+
+357
+00:33:02,020 --> 00:33:06,140
+الشخص طب ايش بنعمل؟ بنجيب ال timber و بنجيب قطعة
+
+358
+00:33:06,140 --> 00:33:10,720
+بلاستيكية تانية يمكن شفتوها في بعض الإطارات بتلاحظ
+
+359
+00:33:10,720 --> 00:33:15,460
+ان ال timber بتاع الإطار كله معدن بحط قطعة
+
+360
+00:33:15,460 --> 00:33:19,780
+بلاستيكية مضافة عشان يقلل من ال reaction ما بين
+
+361
+00:33:19,780 --> 00:33:25,190
+اللي هوالـ counter of skill مع اللي هو من ال frame
+
+362
+00:33:25,190 --> 00:33:31,130
+تمام يعني إضافة تمبل جديد في داخل ال تمبل اللي هو
+
+363
+00:33:31,130 --> 00:33:40,010
+الرئيسي أو الأساسي تمبل covers هذا تمبل اللي تم
+
+364
+00:33:40,010 --> 00:33:45,810
+إضافته جديد مصنوع اللي هو من إما plastic أو vinyl
+
+365
+00:33:45,810 --> 00:33:51,500
+and silicon materialsلأنه دايما أنه أقل اللي هو
+
+366
+00:33:51,500 --> 00:33:56,520
+خطورة اللي plastic من مين من ال metal أو أقل
+
+367
+00:33:56,520 --> 00:34:02,700
+تفاعلا بينه و بين مين اللي هو ال what I call اللي
+
+368
+00:34:02,700 --> 00:34:09,160
+هو ال metal okay there is also heat shrink tubing
+
+369
+00:34:09,160 --> 00:34:14,280
+sold for this purpose يعني بتم اللي هو زي ما قلنا
+
+370
+00:34:14,280 --> 00:34:20,340
+شراءالـ ultra-thin اللي هي ال .. ال ultra-thin
+
+371
+00:34:20,340 --> 00:34:25,640
+قلنا إيش معناها؟ الطبقات اللي هو البقيقة بتم اللي
+
+372
+00:34:25,640 --> 00:34:31,560
+هو شرائها لهذا الهدف إذا sold for this purpose
+
+373
+00:34:31,560 --> 00:34:37,500
+يعني لهذا الهدف which reportedly takes care of
+
+374
+00:34:37,500 --> 00:34:41,100
+eliminating allergic reactions و اللي بتعطى أو
+
+375
+00:34:41,100 --> 00:34:45,200
+بتأخذ اللي هو بعناية لعملية اللي هو إزالة إيش
+
+376
+00:34:45,510 --> 00:34:51,770
+التفاعل ما بين ال skin patient و ما بين ال frame
+
+377
+00:34:51,770 --> 00:34:57,510
+an
+
+378
+00:34:57,510 --> 00:35:02,890
+additional note on allergies there is a liquid
+
+379
+00:35:02,890 --> 00:35:07,990
+lens linear sometimes used in the groove of a
+
+380
+00:35:07,990 --> 00:35:13,650
+frame to make a loose lens more secure في بعض
+
+381
+00:35:13,650 --> 00:35:19,300
+الأحيانالان يما بيجي أو باخد اللي هو وصفة المريض
+
+382
+00:35:21,070 --> 00:35:26,350
+أول حاجة بشتري الـ uncut lens بيجي الان بده يقص
+
+383
+00:35:26,350 --> 00:35:30,950
+الـ uncut lens بيخلي انه فيه هناك اللي هو العدسة
+
+384
+00:35:30,950 --> 00:35:35,450
+في اتفاضة يعني بتكون العدسة ايش مالها؟ واسعة يعني
+
+385
+00:35:35,450 --> 00:35:39,970
+مزودة بعملية ال gas يعني الآن لو انا امسكت العدسات
+
+386
+00:35:39,970 --> 00:35:43,930
+في داخل الإطار بتلاقي العدسة loose يعني رقيقة
+
+387
+00:35:43,930 --> 00:35:49,090
+بتتحرك معيهذه ايش الهدف بيعملها؟ انه عشان يكون
+
+388
+00:35:49,090 --> 00:35:53,090
+اكتر secure يعني اكتر امان، دايما بقولك يما تكون
+
+389
+00:35:53,090 --> 00:35:58,090
+العدسة مضغوطة كتير ممكن الشخص و هو لبسها ايش تنكسر
+
+390
+00:35:58,090 --> 00:36:04,050
+العدسة، نتيجة اللي هو ال pressure القوي، تمام؟إيش
+
+391
+00:36:04,050 --> 00:36:09,830
+الفايدة من ذلك؟ This material contains latex and
+
+392
+00:36:09,830 --> 00:36:15,390
+shouldn't be used on a frame whose wearers have
+
+393
+00:36:15,390 --> 00:36:22,150
+latex allergies طيب، الآن صاحب المركز بدي يحافظ
+
+394
+00:36:22,150 --> 00:36:27,190
+على هذه العدساتيعني بمعنى آخر أنه بدهوش يرمى
+
+395
+00:36:27,190 --> 00:36:30,990
+العدسات أو بدهوش أنه يخسر هدول العدسات، إيش بروح
+
+396
+00:36:30,990 --> 00:36:35,770
+بيجيب؟ بيجيب مادة الأمير الـ Latex تمام؟ و بيلزج
+
+397
+00:36:35,770 --> 00:36:40,370
+اللي هو العدسة طيب، الآن أنت لما بتلزج العدسة، هذه
+
+398
+00:36:40,370 --> 00:36:45,310
+المادة الأمير إيش بتعمل؟ reaction ما بين الإطار و
+
+399
+00:36:45,310 --> 00:36:49,810
+ما بين مين ال skin اللي هو human وبالتالي بتأدى
+
+400
+00:36:49,810 --> 00:36:54,350
+لإيه ال allergyطبعا هذا التصرف خاطئ مية في المية
+
+401
+00:36:54,350 --> 00:37:04,450
+واضح الفكرة عندنا
+
+402
+00:37:04,450 --> 00:37:11,630
+frame measurements and markings يعني قياسات وتعليم
+
+403
+00:37:11,630 --> 00:37:18,820
+الإطار بداية عندناالنظام الأول اللي هو عبارة عن
+
+404
+00:37:18,820 --> 00:37:26,060
+الـ older datum system تمام؟ a system of reference
+
+405
+00:37:26,060 --> 00:37:30,560
+points ايش المقصود بال reference points في اللي هو
+
+406
+00:37:30,560 --> 00:37:37,960
+ال datum system؟ عندنا ال mid datum depth و عندنا
+
+407
+00:37:37,960 --> 00:37:41,640
+ال datum line و عندنا ال datum center صح ولا لأ؟
+
+408
+00:37:41,640 --> 00:37:46,410
+هدول عبارة عن ال reference pointsfor frames and
+
+409
+00:37:46,410 --> 00:37:53,430
+lenses so that placement of lens optical center
+
+410
+00:37:53,430 --> 00:37:58,410
+would be consistent يعني ممكن أن تكون هذا ال
+
+411
+00:37:58,410 --> 00:38:04,010
+reference point عاملة محاكاة بين الإطار و ما بين
+
+412
+00:38:04,010 --> 00:38:08,410
+من العدسات بحيث أن تكون ال optical center للعدسات
+
+413
+00:38:08,410 --> 00:38:11,730
+في وضعها الطبيعي أو في وضعها الصحيح
+
+414
+00:38:15,340 --> 00:38:20,940
+عنا الـ mid datum depth و
+
+415
+00:38:20,940 --> 00:38:27,740
+ال datum line و ال datum center خاصة
+
+416
+00:38:27,740 --> 00:38:33,040
+في مين؟ في اللي هو ال datum system عنا ال mid
+
+417
+00:38:33,040 --> 00:38:40,260
+datum
+
+418
+00:38:40,260 --> 00:38:44,140
+depth
+
+419
+00:38:48,110 --> 00:38:55,230
+و ال datum line و
+
+420
+00:38:55,230 --> 00:38:59,990
+ال
+
+421
+00:38:59,990 --> 00:39:05,750
+datum center with the
+
+422
+00:39:05,750 --> 00:39:10,350
+lens placed as it should sit in the frame,
+
+423
+00:39:10,890 --> 00:39:14,890
+horizontal lines were drawn at the highest and
+
+424
+00:39:14,890 --> 00:39:21,340
+lowest edge of the lensالان الخطوة الاولى يما انا
+
+425
+00:39:21,340 --> 00:39:27,000
+بجيب الإطار تمام اول حاجة بدي ارسم من الشابلونة
+
+426
+00:39:27,000 --> 00:39:32,420
+الان في عندنا خط لازم يكون horizontal ال
+
+427
+00:39:32,420 --> 00:39:37,720
+horizontal هذا يكون من ال top rim و من من ال
+
+428
+00:39:37,720 --> 00:39:46,260
+bottom rim تمام هذه اول خطوة اذا الخطوة الاولىwith
+
+429
+00:39:46,260 --> 00:39:51,040
+the lens placed it should sit in the frame عشان
+
+430
+00:39:51,040 --> 00:39:56,440
+العدسة يعني تجعد في مكانها أو تجلس في مكانها بعمل
+
+431
+00:39:56,440 --> 00:40:00,140
+horizontal lines على مدار العدستين أو على طول
+
+432
+00:40:00,140 --> 00:40:05,000
+العدستين برسم اللي هو ال highest او ال top اللي هو
+
+433
+00:40:05,000 --> 00:40:10,360
+area او ال top rim وعنا ال bottom او بنسميها ال
+
+434
+00:40:10,360 --> 00:40:13,040
+lowest اللي هو edge of the lens
+
+435
+00:40:33,170 --> 00:40:39,870
+أول حاجة موازلة مين للـ horizontal line صح ولا لأ؟
+
+436
+00:40:40,010 --> 00:40:44,850
+و جاي في اللي هو منتصف العدسة الأولى والعدسة
+
+437
+00:40:44,850 --> 00:40:51,210
+التانية okay هاي ال datum line موازية لأول حاجة ال
+
+438
+00:40:51,210 --> 00:40:55,030
+horizontal سواء كان ال top او ال bottom والنقطة
+
+439
+00:40:55,030 --> 00:40:59,510
+التانية انه جاي منصف للعدسة الأولى والعدسة التانية
+
+440
+00:41:06,330 --> 00:41:11,470
+The width of the lens along this line was called
+
+441
+00:41:11,470 --> 00:41:16,150
+the datum length أو بنسميها ال eye sizeاللي هي
+
+442
+00:41:16,150 --> 00:41:20,570
+بتمثل حجم مين؟ العدسة هي الـ Datum Length أو الـ I
+
+443
+00:41:20,570 --> 00:41:25,970
+Size إن حجم العدسة اللي هيتم قصها طبعاً العدسة
+
+444
+00:41:25,970 --> 00:41:30,950
+هيكون حجمها أصغر من مين؟ من الـ Rim ليش طيب؟ لأنه
+
+445
+00:41:30,950 --> 00:41:36,430
+هيكون بدمجها لجروف يعني المنطقة اللي هتحصر اللي هو
+
+446
+00:41:36,430 --> 00:41:42,130
+العدسة أو لبيفل تمام؟ عشان يتم اللي هو تلائم ما
+
+447
+00:41:42,130 --> 00:41:44,050
+بين العدسة و ما بين الإطار
+
+448
+00:41:48,660 --> 00:41:53,960
+Okay الـ point along the datum line halfway
+
+449
+00:41:53,960 --> 00:41:58,760
+between the edges of the lens is the datum center
+
+450
+00:41:58,760 --> 00:42:03,660
+ال datum center هو منتصف من ال datum line اللي
+
+451
+00:42:03,660 --> 00:42:08,380
+بيكون موازلة من لل horizontal line هاي datum
+
+452
+00:42:08,380 --> 00:42:18,120
+center وهنا datum center في المنتصف Okay
+
+453
+00:42:19,110 --> 00:42:22,870
+the depth of the lens او الـ mid اللي هو datum
+
+454
+00:42:22,870 --> 00:42:29,630
+depth أيضا بيسمى okay measured as the vertical
+
+455
+00:42:29,630 --> 00:42:34,930
+depth through the datum center was the mid datum
+
+456
+00:42:34,930 --> 00:42:40,370
+depth اذا انا مادام بتكلم على كلمة اللي هو depth
+
+457
+00:42:40,370 --> 00:42:45,870
+اذا عنا عبارة عن ال vertical okay يعني باخد اللي
+
+458
+00:42:45,870 --> 00:42:52,380
+هو العدسةمن الـ top part لبطن part الملاحظين هنا
+
+459
+00:42:52,380 --> 00:42:56,360
+على حدود من العدسة مش على حدود ال frame الإطار
+
+460
+00:42:56,360 --> 00:43:00,920
+يعني في هناك فرق تقريبا من اتنين لاتنين و نص ملي
+
+461
+00:43:06,350 --> 00:43:12,430
+The datum system preceded the currently used
+
+462
+00:43:12,430 --> 00:43:16,750
+boxing اللي هو system يعني الآن تم الاستغناء عن
+
+463
+00:43:16,750 --> 00:43:20,750
+نظام اللي هو ال datum system والنظام المعمول فيه
+
+464
+00:43:20,750 --> 00:43:25,150
+في الوقت الحاضر هو عبارة عن مين؟ ال boxing system
+
+465
+00:43:25,150 --> 00:43:29,450
+اللي هنكمل ان شاء الله في مجرياته في المحاضرة
+
+466
+00:43:29,450 --> 00:43:33,150
+القادمة يعطيكم العافية، أي سؤال؟ أي استفسار؟
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/81J6EddFqIw_raw.json b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/81J6EddFqIw_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa2fbd114b57b5011abe15616902d45e42920884
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/81J6EddFqIw_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 4687, "start": 20.79, "end": 46.87, "text": "بسم الله الرحمن الرحيم السلام عليكم ورحمة الله وبركاته and a very good afternoon to all of you في المحاضرة السابقة أخدنا موضوع ال lensmeter و المبادئ المتعلقة باللينزميتر اليوم هيكون عندنا بعض من الأسئلة المتعلقة بالـ true or false", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 21136, 37440, 25894, 24793, 4032, 2288, 35571, 3660, 21984, 4032, 26890, 4117, 9307, 3224, 293, 257, 588, 665, 6499, 281, 439, 295, 291, 8978, 9673, 5016, 46958, 25720, 21136, 16758, 28671, 5551, 9778, 3215, 8315, 3714, 2407, 11242, 45367, 2423, 6765, 33058, 4032, 9673, 3555, 18513, 19986, 9673, 2655, 30241, 28671, 20666, 1211, 9957, 11622, 2304, 36081, 2288, 45595, 20498, 39896, 30544, 43242, 8315, 45030, 11242, 9154, 16247, 3794, 19986, 37977, 9673, 2655, 30241, 28671, 20666, 39184, 2074, 420, 7908], "avg_logprob": -0.148263890379005, "compression_ratio": 1.7142857142857142, "no_speech_prob": 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0.758544921875}, {"start": 261.73, "end": 262.09, "word": " هذي", "probability": 0.603759765625}, {"start": 262.09, "end": 262.53, "word": " وصفة", "probability": 0.9923095703125}, {"start": 262.53, "end": 263.97, "word": " إيش؟", "probability": 0.8228759765625}, {"start": 263.97, "end": 264.47, "word": " glasses", "probability": 0.426513671875}, {"start": 264.47, "end": 265.33, "word": " نضارة", "probability": 0.9036865234375}, {"start": 265.33, "end": 265.61, "word": " صح", "probability": 0.956298828125}, {"start": 265.61, "end": 265.79, "word": " ولا", "probability": 0.92919921875}, {"start": 265.79, "end": 266.45, "word": " لأ؟", "probability": 0.8797200520833334}], "temperature": 1.0}, {"id": 11, "seek": 28822, "start": 267.18, "end": 288.22, "text": "قولا واحدا okay which of the following two power will ..الان احنا أخدنا المرة الماضية لو كان عندى عدسة أسفير أو cylinder lens هتديني أكم power تنتين صح ولا لا بوضح واحدة التانية بتغبش بوضح التانية الأولى بتغبش و هكذا", "tokens": 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0.78271484375}, {"start": 269.9, "end": 270.34, "word": " of", "probability": 0.97705078125}, {"start": 270.34, "end": 270.54, "word": " the", "probability": 0.9296875}, {"start": 270.54, "end": 271.1, "word": " following", "probability": 0.8837890625}, {"start": 271.1, "end": 271.72, "word": " two", "probability": 0.89453125}, {"start": 271.72, "end": 272.18, "word": " power", "probability": 0.7646484375}, {"start": 272.18, "end": 273.04, "word": " will", "probability": 0.2203369140625}, {"start": 273.04, "end": 274.02, "word": " ..الان", "probability": 0.609375}, {"start": 274.02, "end": 274.32, "word": " احنا", "probability": 0.95703125}, {"start": 274.32, "end": 275.02, "word": " أخدنا", "probability": 0.89208984375}, {"start": 275.02, "end": 275.32, "word": " المرة", "probability": 0.970458984375}, {"start": 275.32, "end": 275.9, "word": " الماضية", "probability": 0.9915364583333334}, {"start": 275.9, "end": 276.3, "word": " لو", "probability": 0.7509765625}, {"start": 276.3, "end": 276.6, "word": " كان", "probability": 0.9921875}, {"start": 276.6, "end": 276.94, "word": " عندى", "probability": 0.7197265625}, {"start": 276.94, "end": 277.88, "word": " عدسة", "probability": 0.97607421875}, {"start": 277.88, "end": 278.54, "word": " أسفير", "probability": 0.619537353515625}, {"start": 278.54, "end": 278.64, "word": " أو", "probability": 0.4560546875}, {"start": 278.64, "end": 279.04, "word": " cylinder", "probability": 0.6474609375}, {"start": 279.04, "end": 279.56, "word": " lens", "probability": 0.94677734375}, {"start": 279.56, "end": 280.56, "word": " هتديني", "probability": 0.819921875}, {"start": 280.56, "end": 280.82, "word": " أكم", "probability": 0.630126953125}, {"start": 280.82, "end": 281.24, "word": " power", "probability": 0.87109375}, {"start": 281.24, "end": 282.12, "word": " تنتين", "probability": 0.8101399739583334}, {"start": 282.12, "end": 282.36, "word": " صح", "probability": 0.95703125}, {"start": 282.36, "end": 282.54, "word": " ولا", "probability": 0.96337890625}, {"start": 282.54, "end": 282.78, "word": " لا", "probability": 0.7998046875}, {"start": 282.78, "end": 283.62, "word": " بوضح", "probability": 0.858642578125}, {"start": 283.62, "end": 284.16, "word": " واحدة", "probability": 0.9549153645833334}, {"start": 284.16, "end": 284.7, "word": " التانية", "probability": 0.9020182291666666}, {"start": 284.7, "end": 285.34, "word": " بتغبش", "probability": 0.9356689453125}, {"start": 285.34, "end": 286.22, "word": " بوضح", "probability": 0.91455078125}, {"start": 286.22, "end": 286.66, "word": " التانية", "probability": 0.9825846354166666}, {"start": 286.66, "end": 287.0, "word": " الأولى", "probability": 0.9796549479166666}, {"start": 287.0, "end": 287.62, "word": " بتغبش", "probability": 0.9810791015625}, {"start": 287.62, "end": 287.84, "word": " و", "probability": 0.69140625}, {"start": 287.84, "end": 288.22, "word": " هكذا", "probability": 0.8153483072916666}], "temperature": 1.0}, {"id": 12, "seek": 30966, "start": 289.34, "end": 309.66, "text": "الان which of the following two power wheel readings appear when first sphere؟ the cylinder lines are brought into focus الان يما انا بستخدم ال power wheel تمام، اي واحدة فيهم هتوضح و اي واحدة فيهم هتغبش؟", "tokens": [6027, 7649, 597, 295, 264, 3480, 732, 1347, 5589, 27319, 4204, 562, 700, 16687, 22807, 264, 17884, 3876, 366, 3038, 666, 1879, 2423, 7649, 7251, 15042, 1975, 8315, 4724, 14851, 9778, 40448, 2423, 1347, 5589, 46811, 10943, 12399, 1975, 1829, 36764, 24401, 3660, 8978, 16095, 8032, 2655, 2407, 11242, 5016, 4032, 1975, 1829, 36764, 24401, 3660, 8978, 16095, 8032, 2655, 17082, 3555, 8592, 22807], "avg_logprob": -0.24350961538461538, "compression_ratio": 1.4615384615384615, "no_speech_prob": 0.0, "words": [{"start": 289.34, "end": 289.84, "word": "الان", "probability": 0.800048828125}, {"start": 289.84, "end": 290.44, "word": " which", "probability": 0.5546875}, {"start": 290.44, "end": 290.9, "word": " of", "probability": 0.982421875}, {"start": 290.9, "end": 291.12, "word": " the", "probability": 0.9306640625}, {"start": 291.12, "end": 291.66, "word": " following", "probability": 0.888671875}, {"start": 291.66, "end": 292.28, "word": " two", "probability": 0.884765625}, {"start": 292.28, "end": 292.7, "word": " power", "probability": 0.783203125}, {"start": 292.7, "end": 293.54, "word": " wheel", "probability": 0.80078125}, {"start": 293.54, "end": 294.64, "word": " readings", "probability": 0.9521484375}, {"start": 294.64, "end": 295.44, "word": " appear", "probability": 0.7451171875}, {"start": 295.44, "end": 296.5, "word": " when", "probability": 0.873046875}, {"start": 296.5, "end": 297.2, "word": " first", "probability": 0.5263671875}, {"start": 297.2, "end": 298.94, "word": " sphere؟", "probability": 0.533203125}, {"start": 298.94, "end": 299.02, "word": " the", "probability": 0.2430419921875}, {"start": 299.02, "end": 299.46, "word": " cylinder", "probability": 0.75390625}, {"start": 299.46, "end": 300.12, "word": " lines", "probability": 0.93505859375}, {"start": 300.12, "end": 300.56, "word": " are", "probability": 0.95947265625}, {"start": 300.56, "end": 301.06, "word": " brought", "probability": 0.927734375}, {"start": 301.06, "end": 301.42, "word": " into", "probability": 0.83837890625}, {"start": 301.42, "end": 302.0, "word": " focus", "probability": 0.97705078125}, {"start": 302.0, "end": 303.04, "word": " الان", "probability": 0.6483154296875}, {"start": 303.04, "end": 303.2, "word": " يما", "probability": 0.5360107421875}, {"start": 303.2, "end": 303.38, "word": " انا", "probability": 0.7001953125}, {"start": 303.38, "end": 303.96, "word": " بستخدم", "probability": 0.9537353515625}, {"start": 303.96, "end": 304.08, "word": " ال", "probability": 0.97021484375}, {"start": 304.08, "end": 304.32, "word": " power", "probability": 0.8828125}, {"start": 304.32, "end": 304.74, "word": " wheel", "probability": 0.8974609375}, {"start": 304.74, "end": 305.9, "word": " تمام،", "probability": 0.6458333333333334}, {"start": 305.9, "end": 306.12, "word": " اي", "probability": 0.5220947265625}, {"start": 306.12, "end": 306.52, "word": " واحدة", "probability": 0.9388020833333334}, {"start": 306.52, "end": 306.82, "word": " فيهم", "probability": 0.9658203125}, {"start": 306.82, "end": 307.58, "word": " هتوضح", "probability": 0.95}, {"start": 307.58, "end": 307.86, "word": " و", "probability": 0.73828125}, {"start": 307.86, "end": 308.02, "word": " اي", "probability": 0.765380859375}, {"start": 308.02, "end": 308.32, "word": " واحدة", "probability": 0.9674479166666666}, {"start": 308.32, "end": 308.64, "word": " فيهم", "probability": 0.966796875}, {"start": 308.64, "end": 309.66, "word": " هتغبش؟", "probability": 0.9108072916666666}], "temperature": 1.0}, {"id": 13, "seek": 33838, "start": 310.08, "end": 338.38, "text": "اللي هي القراءة الأكبر مش احنا دايما الاسفير يعني الـ-2 إيش تمثل الاسفير صح ولا لا؟ إذا هي الاسفير power اللي مفترض أول واحدة توضح صح؟ طيب الإجابة إيش بده تكون؟ يعني أى واحدة أو أى صورة هتكون هي الأوضح يعني أنا بدي أعمل اللي هو قياس لقوة العدسة minus 2", "tokens": [6027, 20292, 39896, 25062, 2288, 16606, 3660, 16247, 4117, 26890, 37893, 1975, 5016, 8315, 11778, 47302, 15042, 2423, 32277, 5172, 13546, 37495, 22653, 2423, 39184, 12, 17, 11933, 1829, 8592, 46811, 12984, 1211, 2423, 32277, 5172, 13546, 20328, 5016, 49429, 20193, 22807, 11933, 15730, 39896, 2423, 32277, 5172, 13546, 1347, 13672, 1829, 3714, 5172, 2655, 43042, 5551, 12610, 36764, 24401, 3660, 33427, 11242, 5016, 20328, 5016, 22807, 23032, 1829, 3555, 33688, 7435, 16758, 3660, 11933, 1829, 8592, 47525, 3224, 6055, 30544, 22807, 37495, 22653, 5551, 7578, 36764, 24401, 3660, 34051, 5551, 7578, 20328, 13063, 3660, 8032, 2655, 30544, 39896, 16247, 2407, 11242, 5016, 37495, 22653, 41850, 4724, 16254, 5551, 25957, 1211, 13672, 1829, 31439, 12174, 25528, 3794, 5296, 4587, 2407, 3660, 18863, 3215, 3794, 3660, 3175, 568], "avg_logprob": -0.1804199245525524, "compression_ratio": 1.86864406779661, "no_speech_prob": 0.0, "words": [{"start": 310.08, "end": 310.34, "word": "اللي", "probability": 0.83642578125}, {"start": 310.34, "end": 310.48, "word": " هي", "probability": 0.94091796875}, {"start": 310.48, "end": 311.0, "word": " القراءة", "probability": 0.869384765625}, {"start": 311.0, "end": 311.5, "word": " الأكبر", "probability": 0.9827473958333334}, {"start": 311.5, "end": 312.46, "word": " مش", "probability": 0.77392578125}, {"start": 312.46, "end": 312.62, "word": " احنا", "probability": 0.9435221354166666}, {"start": 312.62, "end": 312.94, "word": " دايما", "probability": 0.86865234375}, {"start": 312.94, "end": 313.58, "word": " الاسفير", "probability": 0.76812744140625}, {"start": 313.58, "end": 314.64, "word": " يعني", "probability": 0.885009765625}, {"start": 314.64, "end": 314.92, "word": " الـ", "probability": 0.6636962890625}, {"start": 314.92, "end": 315.36, "word": "-2", "probability": 0.5511474609375}, {"start": 315.36, "end": 315.62, "word": " إيش", "probability": 0.7721354166666666}, {"start": 315.62, "end": 316.24, "word": " تمثل", "probability": 0.978515625}, {"start": 316.24, "end": 317.66, "word": " الاسفير", "probability": 0.85345458984375}, {"start": 317.66, "end": 317.9, "word": " صح", "probability": 0.89013671875}, {"start": 317.9, "end": 318.04, "word": " ولا", "probability": 0.931640625}, {"start": 318.04, "end": 318.46, "word": " لا؟", "probability": 0.572998046875}, {"start": 318.46, "end": 318.78, "word": " إذا", "probability": 0.822265625}, {"start": 318.78, "end": 319.02, "word": " هي", "probability": 0.50146484375}, {"start": 319.02, "end": 319.6, "word": " الاسفير", "probability": 0.9058837890625}, {"start": 319.6, "end": 319.98, "word": " power", "probability": 0.84619140625}, {"start": 319.98, "end": 320.36, "word": " اللي", "probability": 0.8798828125}, {"start": 320.36, "end": 320.92, "word": " مفترض", "probability": 0.9908447265625}, {"start": 320.92, "end": 321.3, "word": " أول", "probability": 0.95751953125}, {"start": 321.3, "end": 321.62, "word": " واحدة", "probability": 0.9029947916666666}, {"start": 321.62, "end": 322.08, "word": " توضح", "probability": 0.95068359375}, {"start": 322.08, "end": 323.34, "word": " صح؟", "probability": 0.7140299479166666}, {"start": 323.34, "end": 323.66, "word": " طيب", "probability": 0.95458984375}, {"start": 323.66, "end": 324.18, "word": " الإجابة", "probability": 0.9464111328125}, {"start": 324.18, "end": 324.32, "word": " إيش", "probability": 0.9637044270833334}, {"start": 324.32, "end": 324.48, "word": " بده", "probability": 0.4974365234375}, {"start": 324.48, "end": 326.38, "word": " تكون؟", "probability": 0.8972981770833334}, {"start": 326.38, "end": 327.44, "word": " يعني", "probability": 0.981689453125}, {"start": 327.44, "end": 327.8, "word": " أى", "probability": 0.647216796875}, {"start": 327.8, "end": 328.46, "word": " واحدة", "probability": 0.9689127604166666}, {"start": 328.46, "end": 329.06, "word": " أو", "probability": 0.888671875}, {"start": 329.06, "end": 329.7, "word": " أى", "probability": 0.7568359375}, {"start": 329.7, "end": 330.16, "word": " صورة", "probability": 0.9952799479166666}, {"start": 330.16, "end": 330.6, "word": " هتكون", "probability": 0.95751953125}, {"start": 330.6, "end": 330.86, "word": " هي", "probability": 0.63037109375}, {"start": 330.86, "end": 331.5, "word": " الأوضح", "probability": 0.984619140625}, {"start": 331.5, "end": 332.14, "word": " يعني", "probability": 0.6561279296875}, {"start": 332.14, "end": 332.36, "word": " أنا", "probability": 0.2236328125}, {"start": 332.36, "end": 332.66, "word": " بدي", "probability": 0.80078125}, {"start": 332.66, "end": 333.2, "word": " أعمل", "probability": 0.9319661458333334}, {"start": 333.2, "end": 333.44, "word": " اللي", "probability": 0.8466796875}, {"start": 333.44, "end": 333.82, "word": " هو", "probability": 0.98779296875}, {"start": 333.82, "end": 334.6, "word": " قياس", "probability": 0.9811197916666666}, {"start": 334.6, "end": 335.28, "word": " لقوة", "probability": 0.96240234375}, {"start": 335.28, "end": 336.32, "word": " العدسة", "probability": 0.989013671875}, {"start": 336.32, "end": 336.94, "word": " minus", "probability": 0.268310546875}, {"start": 336.94, "end": 338.38, "word": " 2", "probability": 0.548828125}], "temperature": 1.0}, {"id": 14, "seek": 34483, "start": 338.65, "end": 344.83, "text": "في حد عنده إجابة تانية أنا بقول minus 2 و minus 3.25", "tokens": [41185, 11331, 3215, 43242, 3224, 11933, 7435, 16758, 3660, 6055, 7649, 10632, 41850, 4724, 39648, 3175, 568, 4032, 3175, 805, 13, 6074], "avg_logprob": -0.22792119565217392, "compression_ratio": 0.9629629629629629, "no_speech_prob": 0.0, "words": [{"start": 338.65, "end": 338.95, "word": "في", "probability": 0.54541015625}, {"start": 338.95, "end": 339.25, "word": " حد", "probability": 0.908447265625}, {"start": 339.25, "end": 339.57, "word": " عنده", "probability": 0.9619140625}, {"start": 339.57, "end": 339.93, "word": " إجابة", "probability": 0.933837890625}, {"start": 339.93, "end": 340.33, "word": " تانية", "probability": 0.98291015625}, {"start": 340.33, "end": 342.55, "word": " أنا", "probability": 0.352783203125}, {"start": 342.55, "end": 342.87, "word": " بقول", "probability": 0.979248046875}, {"start": 342.87, "end": 343.25, "word": " minus", "probability": 0.134765625}, {"start": 343.25, "end": 343.61, "word": " 2", "probability": 0.5986328125}, {"start": 343.61, "end": 343.81, "word": " و", "probability": 0.79345703125}, {"start": 343.81, "end": 344.11, "word": " minus", "probability": 0.92529296875}, {"start": 344.11, "end": 344.47, "word": " 3", "probability": 0.904296875}, {"start": 344.47, "end": 344.83, "word": ".25", "probability": 0.6646728515625}], "temperature": 1.0}, {"id": 15, "seek": 37193, "start": 346.41, "end": 371.93, "text": "مية في المية لأ مش مجموحهم ال neutralization صح ولا لأ لأن عندنا minus اتنين هذه هتكون ال sphere صح ولا لأ اذا هذه القراءه الاوله اللي انا هشوفها طيب الان لو انا اجيت اخدت المعادلة minus اتنين او الوصفه ع minus واحد ربع بدي اجمعهم اللي هي minus تلاته وربع اذا هتكون ايش", "tokens": [2304, 10632, 8978, 9673, 10632, 5296, 10721, 37893, 3714, 7435, 2304, 2407, 5016, 16095, 2423, 10598, 2144, 20328, 5016, 49429, 5296, 10721, 5296, 33456, 43242, 8315, 3175, 1975, 2655, 1863, 9957, 29538, 8032, 2655, 30544, 2423, 16687, 20328, 5016, 49429, 5296, 10721, 1975, 15730, 29538, 25062, 2288, 16606, 3224, 42963, 12610, 3224, 13672, 1829, 1975, 8315, 8032, 8592, 38688, 11296, 23032, 1829, 3555, 2423, 7649, 45164, 1975, 8315, 1975, 7435, 36081, 1975, 9778, 3215, 2655, 9673, 3615, 18513, 37977, 3175, 1975, 2655, 1863, 9957, 1975, 2407, 2423, 2407, 9381, 5172, 3224, 6225, 3175, 36764, 24401, 12602, 3555, 3615, 4724, 16254, 1975, 7435, 2304, 3615, 16095, 13672, 1829, 39896, 3175, 6055, 1211, 9307, 3224, 4032, 25513, 3615, 1975, 15730, 8032, 2655, 30544, 1975, 1829, 8592], "avg_logprob": -0.17175000619888306, "compression_ratio": 1.8541666666666667, 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"text": "is used to neutralize a lens of unknown power اذا هذي ايش تعتبر F ال U صح او F ال spectacle lens and obtain results directly in a plus cylinder form اذا مباشرة انا بدي احولها لإيش لplus cylinder", "tokens": [271, 1143, 281, 10598, 1125, 257, 6765, 295, 9841, 1347, 1975, 15730, 8032, 8848, 1829, 1975, 1829, 8592, 6055, 34268, 26890, 479, 2423, 624, 20328, 5016, 1975, 2407, 479, 2423, 37303, 6765, 293, 12701, 3542, 3838, 294, 257, 1804, 17884, 1254, 1975, 15730, 3714, 3555, 33599, 25720, 1975, 8315, 4724, 16254, 1975, 5016, 12610, 11296, 5296, 28814, 1829, 8592, 5296, 18954, 17884], "avg_logprob": -0.29836308199261863, "compression_ratio": 1.3444444444444446, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 401.61, "end": 401.89, "word": "is", "probability": 0.12347412109375}, {"start": 401.89, "end": 402.39, "word": " used", "probability": 0.91455078125}, {"start": 402.39, "end": 402.77, "word": " to", "probability": 0.9736328125}, {"start": 402.77, "end": 403.87, 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"probability": 0.9716796875}, {"start": 499.79, "end": 500.33, "word": " واحد", "probability": 0.986083984375}, {"start": 500.33, "end": 501.35, "word": " مين", "probability": 0.787841796875}, {"start": 501.35, "end": 501.71, "word": " هتكون", "probability": 0.9560546875}, {"start": 501.71, "end": 502.75, "word": " الاسفير؟", "probability": 0.9283203125}, {"start": 502.75, "end": 503.55, "word": " تمام؟", "probability": 0.79541015625}, {"start": 503.55, "end": 503.69, "word": " هو", "probability": 0.91064453125}, {"start": 503.69, "end": 504.01, "word": " نفس", "probability": 0.890625}, {"start": 504.01, "end": 504.63, "word": " الحاجة", "probability": 0.99169921875}, {"start": 504.63, "end": 505.01, "word": " بس", "probability": 0.853271484375}, {"start": 505.01, "end": 505.17, "word": " هو", "probability": 0.8994140625}, {"start": 505.17, "end": 505.35, "word": " ايش", "probability": 0.7764485677083334}, {"start": 505.35, "end": 506.09, "word": " قالك؟", "probability": 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عندنا ال datum center تمام ايضا فى عندنا ال MBL اختصار لإيش هذه عبارة عن ال minimum between lenses تمام يعني المسافة", "tokens": [8297, 6024, 48506, 30767, 1829, 19446, 1975, 2655, 5172, 4587, 8315, 6156, 7578, 43242, 8315, 1137, 449, 1622, 6156, 7578, 43242, 8315, 2423, 2062, 1137, 449, 7161, 6156, 7578, 43242, 8315, 2423, 1137, 449, 3056, 46811, 10943, 1975, 1829, 11242, 995, 6156, 7578, 43242, 8315, 2423, 376, 17624, 1975, 46456, 9381, 9640, 5296, 28814, 1829, 8592, 29538, 6225, 3555, 9640, 3660, 18871, 2423, 7285, 1296, 18059, 46811, 10943, 37495, 22653, 9673, 3794, 31845, 3660], "avg_logprob": -0.1815625015894572, "compression_ratio": 1.6171428571428572, "no_speech_prob": 9.5367431640625e-07, "words": [{"start": 1343.53, "end": 1344.53, "word": "Okay", "probability": 0.34814453125}, {"start": 1344.53, "end": 1345.53, "word": " الآن", "probability": 0.7113037109375}, {"start": 1345.53, "end": 1345.73, "word": " زي", "probability": 0.916748046875}, {"start": 1345.73, "end": 1345.83, 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ما بين العدستين اللي احنا ايش بنسميها الآن ال bridge الان لو هي معاك اطار المسافة بين العدستين هذي بنسميها ايش ال minimum between lenses جالوا الكلام بتاع ال bridge هذا خطأ", "tokens": [40228, 22653, 1975, 2407, 13672, 1829, 31439, 2423, 7285, 1975, 4587, 1211, 47524, 31845, 3660, 19446, 49374, 18863, 3215, 3794, 2655, 9957, 13672, 1829, 1975, 5016, 8315, 1975, 1829, 8592, 44945, 38251, 1829, 11296, 6024, 48506, 2423, 7283, 2423, 7649, 45164, 39896, 20449, 995, 4117, 1975, 9566, 9640, 9673, 3794, 31845, 3660, 49374, 18863, 3215, 14851, 9957, 8032, 8848, 1829, 44945, 38251, 1829, 11296, 1975, 1829, 8592, 2423, 7285, 1296, 18059, 10874, 6027, 14407, 2423, 28820, 10943, 39894, 45761, 2423, 7283, 23758, 16490, 9566, 10721], "avg_logprob": -0.16815043292766393, "compression_ratio": 1.8181818181818181, "no_speech_prob": 0.0, "words": [{"start": 1373.72, "end": 1374.08, "word": "يعني", "probability": 0.720947265625}, {"start": 1374.08, "end": 1374.46, "word": " او", "probability": 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او اتنين ملي احنا فعليا في عملية الجثة بنتركها", "tokens": [27842, 8717, 39319, 10632, 13672, 1829, 31439, 2423, 39184, 1137, 449, 4032, 27842, 8717, 39319, 10632, 2423, 24424, 1185, 37495, 22653, 20328, 5016, 50113, 15040, 2423, 363, 32771, 13546, 47524, 995, 2407, 10632, 5296, 19528, 3215, 13672, 1829, 31439, 1137, 449, 7161, 44381, 29538, 9673, 3794, 31845, 3660, 13672, 1829, 39896, 36764, 24401, 1975, 2407, 36764, 24401, 4032, 8717, 9381, 1975, 2407, 1975, 2655, 1863, 9957, 3714, 20292, 1975, 5016, 8315, 6156, 3615, 20292, 995, 8978, 6225, 42213, 10632, 25724, 12984, 3660, 44945, 2655, 31747, 11296], "avg_logprob": -0.17753233306709376, "compression_ratio": 1.7650273224043715, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 2289.02, "end": 2289.26, "word": "من", "probability": 0.71240234375}, {"start": 2289.26, "end": 2289.74, "word": " ناحية", "probability": 0.9830729166666666}, {"start": 2289.74, "end": 2289.96, "word": " اللي", "probability": 0.6170654296875}, 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linear scale تمام نقف ان شاء الله لهان يعطيكم العافية", "tokens": [6027, 39184, 2445, 8717, 25957, 2319, 4, 16472, 3224, 39894, 4587, 9381, 2288, 13672, 1829, 31439, 11331, 7435, 2304, 25724, 3224, 31377, 46811, 10943, 16070, 8592, 17082, 1211, 16712, 7649, 1829, 16247, 16095, 16472, 3224, 4724, 9381, 13546, 8213, 13672, 1829, 31439, 4373, 47525, 1211, 19446, 25961, 8978, 16247, 12610, 2107, 8213, 4373, 46811, 10943, 8717, 4587, 5172, 16472, 13412, 16606, 21984, 5296, 11296, 1863, 37495, 9566, 1829, 24793, 18863, 31845, 10632], "avg_logprob": -0.18578766796686877, "compression_ratio": 1.5891891891891892, "no_speech_prob": 9.5367431640625e-07, "words": [{"start": 2528.75, "end": 2528.99, "word": "الـ", "probability": 0.655029296875}, {"start": 2528.99, "end": 2529.41, "word": " function", "probability": 0.68115234375}, {"start": 2529.41, "end": 2530.11, "word": " نعم", "probability": 0.7279052734375}, {"start": 2530.11, "end": 2531.39, "word": " 100", "probability": 0.413330078125}, 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0.898681640625}, {"start": 2537.57, "end": 2538.01, "word": " بصير", "probability": 0.8592122395833334}, {"start": 2538.01, "end": 2538.81, "word": " linear", "probability": 0.88623046875}, {"start": 2538.81, "end": 2539.13, "word": " اللي", "probability": 0.979248046875}, {"start": 2539.13, "end": 2539.35, "word": " هو", "probability": 0.9951171875}, {"start": 2539.35, "end": 2539.79, "word": " scale", "probability": 0.299072265625}, {"start": 2539.79, "end": 2540.39, "word": " بدل", "probability": 0.937744140625}, {"start": 2540.39, "end": 2540.57, "word": " ما", "probability": 0.94921875}, {"start": 2540.57, "end": 2540.77, "word": " كان", "probability": 0.72412109375}, {"start": 2540.77, "end": 2540.93, "word": " في", "probability": 0.947265625}, {"start": 2540.93, "end": 2541.41, "word": " الأول", "probability": 0.9287109375}, {"start": 2541.41, "end": 2542.11, "word": " non", "probability": 0.84130859375}, {"start": 2542.11, "end": 2542.99, "word": " linear", "probability": 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\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..a2ddabb41a59ec4482b0d51ca2face100fb0ca63
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_postprocess.srt
@@ -0,0 +1,1592 @@
+1
+00:00:20,960 --> 00:00:23,520
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,520 --> 00:00:27,820
+وبركاته and a very good morning to all of you في
+
+3
+00:00:27,820 --> 00:00:37,960
+المحاضرة السابقة أخدنا قانون X بالساوية الف F
+
+4
+00:00:37,960 --> 00:00:45,660
+ال U على F ال standard lens تربيع قلنا ال X هي
+
+5
+00:00:45,660 --> 00:00:51,470
+عبارة عن ال focal length لال standard lensبساوي
+
+6
+00:00:51,470 --> 00:00:58,470
+الف ملي ميتر في ال FU اللي هي ال power of unknown
+
+7
+00:00:58,470 --> 00:01:03,490
+lens يعني قوة العدسة الغير معروفة او المجهولة
+
+8
+00:01:03,490 --> 00:01:13,350
+مقسومة على قوة العدسة ال standard تمام الان
+
+9
+00:01:13,350 --> 00:01:20,310
+التنتين هذول ايه سمناهمعبارة عن optical system
+
+10
+00:01:20,310 --> 00:01:29,410
+تمام بتكون من ال unknown lens اللي هي ال FU او
+
+11
+00:01:29,410 --> 00:01:38,490
+بسموها عبارة عن ال original lens
+
+12
+00:01:38,490 --> 00:01:45,910
+اللي هي قيمة قوة العدسة او النضارة الغير معروفة
+
+13
+00:01:45,910 --> 00:01:53,200
+وعنا ايضاهذه عبارة عن الـ standard lens او بيسموها
+
+14
+00:01:53,200 --> 00:02:02,740
+ال second lens ايضا اخدنا في المحاضرة السابقة ان
+
+15
+00:02:02,740 --> 00:02:09,620
+ال light rays اللي خارج من النضارة او ال uncut
+
+16
+00:02:09,620 --> 00:02:14,980
+lens بيكون parallel light rays و السر انه بيكون
+
+17
+00:02:14,980 --> 00:02:20,130
+parallelإن الـ target بيكون جالس على مين؟ على الـ
+
+18
+00:02:20,130 --> 00:02:26,190
+nodal point اللي خاصة بالعدسة تمام؟ هذا عبارة عن
+
+19
+00:02:26,190 --> 00:02:31,650
+الـ scale اللي بتلاقوه اللي هو في داخل الجهاز أو
+
+20
+00:02:31,650 --> 00:02:36,470
+المؤشر عندنا إما بالـ minus إذا كانت قوة العدسة
+
+21
+00:02:36,470 --> 00:02:41,050
+سالبة أو بالـ plus إذا كانت قوة العدسة موجبة
+
+22
+00:02:47,040 --> 00:02:51,980
+تمام في عندنا قاعدة مهمة كتير different unknown
+
+23
+00:02:51,980 --> 00:02:59,260
+lenses powers ايش المقصود فيها هل
+
+24
+00:02:59,260 --> 00:03:06,260
+جيت جماعة اه تفضلي يا هديل تفضلي
+
+25
+00:03:06,260 --> 00:03:13,410
+ايوةطيب عندنا بالنسبة للـ unknown lenses المقصود
+
+26
+00:03:13,410 --> 00:03:18,630
+فيها كقوة العدسة الآن احنا الجهاز ثابت وال
+
+27
+00:03:18,630 --> 00:03:23,050
+standard lens ايش بتكون constant ثابتة لكن مين
+
+28
+00:03:23,050 --> 00:03:28,820
+المتغير؟قوة النضارة او العدسة يعني الان قوة نضارة
+
+29
+00:03:28,820 --> 00:03:33,920
+او عدسة الهبة مختلفة عن هديل مختلفة عن اللي هو
+
+30
+00:03:33,920 --> 00:03:39,100
+السمية مختلفة عن X عن Y اذا هذه كلها تفي عنا ايش
+
+31
+00:03:39,100 --> 00:03:45,360
+different unknown lenses okay and the distance
+
+32
+00:03:45,360 --> 00:03:50,740
+between the unknown lens الان لو افترضنا ان مريم
+
+33
+00:03:50,740 --> 00:03:56,380
+لابسة minus 2هيكون فيها ايه؟ focal length مختلف عن
+
+34
+00:03:56,380 --> 00:04:01,020
+ال focal length تعمين صغير اللي هو plus 2 هيديني
+
+35
+00:04:01,020 --> 00:04:05,080
+focal length مختلف فالان هيصير في عندنا اختلاف في
+
+36
+00:04:05,080 --> 00:04:09,340
+قيمة ال focal length فالان اول حاجة عندنا اختلاف
+
+37
+00:04:09,340 --> 00:04:14,260
+في ال unknown lens اللي هي القوة المجهولة او الغير
+
+38
+00:04:14,260 --> 00:04:19,780
+معروفة اللي هي بتمثل قوة النضارة and the distance
+
+39
+00:04:19,780 --> 00:04:24,710
+betweenthe unknown lens والمسافة التي هي الـ focal
+
+40
+00:04:24,710 --> 00:04:30,750
+length الخاصة في مين؟ في القوة المجهولة and
+
+41
+00:04:30,750 --> 00:04:34,910
+standard lens يعني هنا عندنا ال X والـ X شرطة اللي
+
+42
+00:04:34,910 --> 00:04:40,270
+أخدناه في المحاضرة الماضية will change both the
+
+43
+00:04:40,270 --> 00:04:45,870
+target image size and location إذا سوف يغير من حجم
+
+44
+00:04:45,870 --> 00:04:51,850
+الصورة هيغير من ال targetوهيغير من ايه؟ من موقع ال
+
+45
+00:04:51,850 --> 00:04:58,530
+target إذا مرة أخرى اختلاف قوة عدسة النضارة
+
+46
+00:04:58,530 --> 00:05:04,330
+واختلاف المسافة ما بين النضارة وال standard lens
+
+47
+00:05:04,330 --> 00:05:10,410
+هذا هيغير من حجم الصورة وهيغير من موقعها وهيغير من
+
+48
+00:05:10,410 --> 00:05:11,410
+اللي هو ال target
+
+49
+00:05:29,280 --> 00:05:35,660
+الان الشكل هذا ايش بيمثل simple
+
+50
+00:05:35,660 --> 00:05:46,360
+lens meter تمام اذا هذا بيمثل simple lens meter
+
+51
+00:05:46,360 --> 00:05:50,960
+تمام او بيمثل اللي هو ال traditional
+
+52
+00:05:56,450 --> 00:06:02,190
+لنز ميتر لش طيب انا قلت traditional او simple lens
+
+53
+00:06:02,190 --> 00:06:07,010
+meter لانه مش موجودة مين ال standard lens او ال
+
+54
+00:06:07,010 --> 00:06:14,050
+second lens الان هذه العدسة هي عبارة عن مين FU صح
+
+55
+00:06:14,050 --> 00:06:20,350
+اللي هي عبارة عن ال original lens او ال unknown
+
+56
+00:06:20,350 --> 00:06:27,100
+lensالان هان ال F ال A ايش بتمثل ال nodal point
+
+57
+00:06:27,100 --> 00:06:31,500
+لمين؟
+
+58
+00:06:31,500 --> 00:06:38,860
+للعدسة ال unknown lens وهان بتمثل ال focal point
+
+59
+00:06:38,860 --> 00:06:48,760
+لمين؟ لل FU الان
+
+60
+00:06:48,760 --> 00:06:53,490
+ال light rays ايجا منالـ infinity او parallel
+
+61
+00:06:53,490 --> 00:07:00,750
+light rays اصفدم بالـ optical system او بالـ
+
+62
+00:07:00,750 --> 00:07:07,090
+unknown lens عمل ايش؟ Divergent light rays عفوا
+
+63
+00:07:07,090 --> 00:07:12,110
+Convergent light rays كلها تتجمع في ال object هذا
+
+64
+00:07:12,110 --> 00:07:17,410
+صح ولا لا؟ زي ما اتفقنا ان جزء منه ايش بيصير له؟
+
+65
+00:07:17,410 --> 00:07:23,190
+Refracted انكسار من خلال ايش؟الـ nodal point مش
+
+66
+00:07:23,190 --> 00:07:27,830
+المرة الماضية أخدنا في الـ cell lens أنه أي أشعة
+
+67
+00:07:27,830 --> 00:07:34,430
+بتمر بالسطح الأمامي للعدسة والسطح الخالفي للعدسة
+
+68
+00:07:34,430 --> 00:07:39,850
+كل واحد هيمثل nodal point تمام؟ جزء من الأشعة
+
+69
+00:07:39,850 --> 00:07:46,470
+هتنكسر لكن المعظم الأشعة أشمالها هتمر من خلال الـ
+
+70
+00:07:46,470 --> 00:07:51,080
+optical center اللي هو الـ lensلكن هذه الأشعة
+
+71
+00:07:51,080 --> 00:07:56,240
+كلهيتها يعني الجل بتاعها أو المعظم ال light rays
+
+72
+00:07:56,240 --> 00:08:00,260
+لا ينكسر أو مايحدث له أي تاء اللي هو refraction
+
+73
+00:08:00,260 --> 00:08:08,560
+okay الآن هانقش ملاحظين ان في عندنا ال X صح ولا لأ
+
+74
+00:08:08,560 --> 00:08:12,880
+اللي هي بتمثل ال focal length لل unknown lens ان
+
+75
+00:08:12,880 --> 00:08:20,370
+زي ما اتفقنا لو انا عندي عدسة قوتها ربعديوبتر بدي
+
+76
+00:08:20,370 --> 00:08:26,530
+طول جديش اربع متر صح متفقين لان مافيش عندنا
+
+77
+00:08:26,530 --> 00:08:32,790
+standard lens روحنا ايش عملنا اضفنا ال standard
+
+78
+00:08:32,790 --> 00:08:38,450
+lens اللي كانت قوتها جديش من عشرين لخمسة وعشرين
+
+79
+00:08:38,450 --> 00:08:43,570
+هذه ثابتة يا جماعة في داخل اللي هو ال instrument
+
+80
+00:08:43,570 --> 00:08:46,590
+او في داخل ال lens meter
+
+81
+00:08:53,550 --> 00:08:58,770
+الان عندما تم إضافة الـ standard lens اللى بتكون
+
+82
+00:08:58,770 --> 00:09:05,310
+قوتها plus 20 أو plus 25 ايش عملت بالـ size
+
+83
+00:09:05,310 --> 00:09:12,730
+shortness صح ولا لأ لأ ال instrument اللى عبارة عن
+
+84
+00:09:12,730 --> 00:09:20,030
+ال X شرطة قصرته طيب الان لاحظوا الحجم هل اتغير ال
+
+85
+00:09:20,030 --> 00:09:27,490
+targetحجم ال target ثابت اذا الان لما انا روح اضفت
+
+86
+00:09:27,490 --> 00:09:34,250
+عدسة standard lens قوتها plus 20 او plus 25 انا
+
+87
+00:09:34,250 --> 00:09:40,610
+قصرت مين الجهاز لكن حفظت على حجم مين لكن ايه الزاد
+
+88
+00:09:40,610 --> 00:09:47,110
+هنا غير انه حجم الجهاز قل ايش الاشي اللي زاد اكتر
+
+89
+00:09:47,110 --> 00:09:57,660
+اه يا رشادماذا زاد؟ هذا ايش بيمثل جناح؟ وهذا ايش
+
+90
+00:09:57,660 --> 00:10:02,220
+بيمثل؟ الان لو انا حطيت عدستين الـrefraction هيزيد
+
+91
+00:10:02,220 --> 00:10:07,820
+ولا هيقل؟ هيزيد، اذا هنا الانكسار ايش ماله؟ زاد،
+
+92
+00:10:07,820 --> 00:10:14,060
+نتيجة ان عندي الان F ال U وعندي F ال S عدستين بدل
+
+93
+00:10:14,060 --> 00:10:21,310
+عدسة واحدة، اذا هذا للـ slideبعمل اللي هو تلخيص
+
+94
+00:10:21,310 --> 00:10:26,470
+يما انا بكون عندى عدسة واحدة بحصل على حجم target
+
+95
+00:10:26,470 --> 00:10:32,110
+ولكن الجهاز ايش بيظله اللي هو طويل صح ولا لا لكن
+
+96
+00:10:32,110 --> 00:10:38,770
+يما انا بضيف عدسة standard lens بقصر الجهاز بحافظ
+
+97
+00:10:38,770 --> 00:10:43,790
+على حجم ال target بزود mean ال refraction تمام
+
+98
+00:10:53,970 --> 00:11:01,090
+طيب عندنا الآن عبارة عن الـ Lens Meter اللي متوفر
+
+99
+00:11:01,090 --> 00:11:07,070
+عندنا الآن اللي بتكون من F لـ U و ايضا من F لـ
+
+100
+00:11:07,070 --> 00:11:12,810
+Standard Lens ايش التعريف تاو؟ هذا عبارة عن تعريف
+
+101
+00:11:12,810 --> 00:11:18,770
+لـ Principle مبدأ جهاز الـ Lens Meter The Image
+
+102
+00:11:18,770 --> 00:11:25,110
+Size واضيفه هنا The Image Size Targetتمام؟ اذا حجم
+
+103
+00:11:25,110 --> 00:11:34,670
+الصورة لا يتغير و اكتش انه ما بتغير حجم الصورة if
+
+104
+00:11:34,670 --> 00:11:38,950
+the posterior nodal point of the second lens وين
+
+105
+00:11:38,950 --> 00:11:43,010
+ال second lens هان؟
+
+106
+00:11:43,010 --> 00:11:48,810
+لأ هى هى مش مش قالك ايش ال nodal point هان عبارة
+
+107
+00:11:48,810 --> 00:11:49,830
+عن ال second lens
+
+108
+00:11:54,650 --> 00:12:00,790
+اللي هي بتمثل ايش ال standard lens تمام؟ اذا حجم
+
+109
+00:12:00,790 --> 00:12:05,790
+ال target لا يتغير اذا ال posterior nodal point
+
+110
+00:12:05,790 --> 00:12:10,790
+شايفين وين ال nodal point؟ داخل العدسة الان ايش
+
+111
+00:12:10,790 --> 00:12:15,090
+معناه ان ال nodal point في داخل العدسة ان سلوك
+
+112
+00:12:15,090 --> 00:12:20,210
+العدسة واحد لايتغير يعني الان اي تقشعة هتمر من هنا
+
+113
+00:12:20,210 --> 00:12:25,690
+هتطلع زي ما هيهيصير اي ترفاكشن؟ لأ، ليش؟ لأنه احنا
+
+114
+00:12:25,690 --> 00:12:29,210
+في المرة الماضية او في المثال اللى جبتلكم إياها
+
+115
+00:12:29,210 --> 00:12:32,370
+كصورة كانت وين الـ nodal point بالرغم من تاعة الـ
+
+116
+00:12:32,370 --> 00:12:36,150
+F1 والـ nodal point التانية كانت هنا تاعة الـ
+
+117
+00:12:36,150 --> 00:12:40,790
+posterior فكان جزء من الأشعة بمره بطلع كما هو لكن
+
+118
+00:12:40,790 --> 00:12:45,970
+جزء بسيط وين بنكسر لكن في الحالة هذه انه الـ nodal
+
+119
+00:12:45,970 --> 00:12:49,490
+point تاعة ال standard lens او ال second lens
+
+120
+00:12:49,490 --> 00:12:54,070
+مطابق لمين؟للـ focal point بتاعة العدسة الـ
+
+121
+00:12:54,070 --> 00:12:59,930
+original lens تمام؟ يعني الآن يا جماعة، يما بيكون
+
+122
+00:12:59,930 --> 00:13:05,950
+الـ nodal point في داخل اللي هو العدسة، العدسة
+
+123
+00:13:05,950 --> 00:13:11,210
+هيكون سلوكها واحد، يعني الأشعة زي ما بتدخل زي ما
+
+124
+00:13:11,210 --> 00:13:15,570
+بتطلع، لا يحدث لها أي انكسار okay؟
+
+125
+00:13:19,300 --> 00:13:23,720
+ماذا يعني Concise؟
+
+126
+00:13:23,720 --> 00:13:29,420
+يتطابق ممتازة with the anterior focal point of the
+
+127
+00:13:29,420 --> 00:13:34,080
+original lens اذا عندنا ال focal point بتاعة
+
+128
+00:13:34,080 --> 00:13:38,260
+العدسة ال second lens تطابق ال nodal point مع ال
+
+129
+00:13:38,260 --> 00:13:43,190
+focal point تعنيتاع اللي هو الـ original lens إذا
+
+130
+00:13:43,190 --> 00:13:48,290
+في هذه الحالة حجم ال object إشماله هيظل ثابت عشان
+
+131
+00:13:48,290 --> 00:13:54,410
+هيك جد مضفنا optical system وظل ال nodal point
+
+132
+00:13:54,410 --> 00:13:59,490
+بتاع ال standard lens مطابق لل focal point بتاع ال
+
+133
+00:13:59,490 --> 00:14:04,010
+what I call التاع ال spectacle lens أو ال unknown
+
+134
+00:14:04,010 --> 00:14:10,700
+lens هيظل حجم الصورة ثابت لايتغير okayهذا كتعريف
+
+135
+00:14:10,700 --> 00:14:14,160
+لمين؟ بنسميه اللي هو knaps low
+
+136
+00:14:21,960 --> 00:14:25,480
+أخدتها أكيد في اللي هو الـ Geometric Optics تمام
+
+137
+00:14:25,480 --> 00:14:30,200
+الـ Knapp's law اللي هو المبني عليه الـ Lens Meter
+
+138
+00:14:30,200 --> 00:14:35,180
+أن حجم الصورة لا يتغير أو حجم ال target لا يتغير
+
+139
+00:14:35,180 --> 00:14:40,200
+إذا تطابق النوضل point لل standard lens مع ال
+
+140
+00:14:40,200 --> 00:14:46,840
+focal point لل second lens أو لل original ASIF
+
+141
+00:14:46,840 --> 00:14:54,360
+lens اللي هي Knapp's lawالـ Knapp's law في حالة
+
+142
+00:14:54,360 --> 00:15:03,680
+الـ Lensmeter بنسميه بدل a principle Manual
+
+143
+00:15:03,680 --> 00:15:09,980
+Lensmeters make use of the same principle أنه
+
+144
+00:15:09,980 --> 00:15:15,440
+principle؟ اللي هو البدل a principle تمام؟ اللي هو
+
+145
+00:15:15,440 --> 00:15:19,710
+عبارة عن another name لالـ Knapp's lawWhen applied
+
+146
+00:15:19,710 --> 00:15:24,090
+to lens meters, Knaps law is called the Bedel
+
+147
+00:15:24,090 --> 00:15:29,010
+principle هاي
+
+148
+00:15:29,010 --> 00:15:36,430
+عندنا الرسمة أيضا مكررة في
+
+149
+00:15:36,430 --> 00:15:42,370
+عندنا ال observer eye في عندنا أيضا اللي هو ال eye
+
+150
+00:15:42,370 --> 00:15:46,880
+piece graticule اللي هي المنقلةاللي من خلالها بحدد
+
+151
+00:15:46,880 --> 00:15:52,740
+الاتجاه السليم للـ axis تمام في عندنا ال original
+
+152
+00:15:52,740 --> 00:15:57,670
+lens أو ال spectacle lensفي ايضا ال standard lens
+
+153
+00:15:57,670 --> 00:16:02,970
+او ما يسمى بال second lens التنتين هدول بيسموهم ال
+
+154
+00:16:02,970 --> 00:16:08,730
+optical system تمام هان ال light rays بيكون اللي
+
+155
+00:16:08,730 --> 00:16:13,790
+هو متوازي اللي طالع من اللي هو ال target بسبب انه
+
+156
+00:16:13,790 --> 00:16:19,010
+ال nodal point تمام وين جالسةأو الـ target جالس
+
+157
+00:16:19,010 --> 00:16:22,650
+على الـ nodal point بتاع العدسة تمام؟ وهذا عبارة
+
+158
+00:16:22,650 --> 00:16:27,190
+عن المنقلة اللي بنشوفها في داخل اللي هو الجهاز
+
+159
+00:16:27,190 --> 00:16:33,990
+تمام؟
+
+160
+00:16:33,990 --> 00:16:39,950
+طيب في حاجة اسمها astronomical telescope إيش
+
+161
+00:16:39,950 --> 00:16:45,730
+معناها؟ التلسكوب الفضائي تمام؟ التلسكوب الفضائي
+
+162
+00:16:45,730 --> 00:16:52,670
+بتكون من عدستينعنا عدسة اللي هي ال eye piece وعنا
+
+163
+00:16:52,670 --> 00:16:57,970
+عدسة تانية ال objective lens التنتين هدولة بيكونوا
+
+164
+00:16:57,970 --> 00:17:04,210
+positive lens او plus lens على طول لما انا بحكي
+
+165
+00:17:04,210 --> 00:17:08,890
+positive او plus lens ايش بيجي على بالي ان الصورة
+
+166
+00:17:08,890 --> 00:17:12,630
+شكلها بيكون virtual صح ولا لأ و بتكون
+
+167
+00:17:12,630 --> 00:17:17,230
+magnification مكبرة تمام من ال characteristics
+
+168
+00:17:17,230 --> 00:17:23,990
+الخاصة في الصورةبكون هى عندنا ال objective lens
+
+169
+00:17:23,990 --> 00:17:30,790
+وال IBS lens التانية اكثر طيب كيف بيصيرله adjusted
+
+170
+00:17:30,790 --> 00:17:37,150
+ايش معناه adjusted انه ضبط تمام is adjusted so
+
+171
+00:17:37,150 --> 00:17:43,410
+that it's focused on infinity يعني انا بعمله عملية
+
+172
+00:17:43,410 --> 00:17:48,790
+اللى هو ضبط بيحدث لما بتكون الأشعة من وين جاية من
+
+173
+00:17:48,790 --> 00:17:53,450
+ال infinityطيب ال light rays يما تكون جاية من ال
+
+174
+00:17:53,450 --> 00:17:57,390
+infinity إيش هتكون؟ يعني ال divergence مقدش هيكون
+
+175
+00:17:57,390 --> 00:18:03,090
+لها zero مية في المية and therefore only parallel
+
+176
+00:18:03,090 --> 00:18:07,730
+light will be seen in focus طيب الآن الأشعة كلها
+
+177
+00:18:07,730 --> 00:18:14,490
+جاية من ال infinity إذا هي parallel light rays ال
+
+178
+00:18:14,490 --> 00:18:19,330
+divergence فيها zero طيب التمركز وين هيكون فقط؟
+
+179
+00:18:21,020 --> 00:18:24,640
+يعني في البقرة صح ولا لا ال focus بتاعها او ال
+
+180
+00:18:24,640 --> 00:18:28,520
+target هيكون فقط في اللي هو البقرة يعني انا فقط
+
+181
+00:18:28,520 --> 00:18:33,780
+هشوف ال light rays وين من خلال ال target واضح
+
+182
+00:18:33,780 --> 00:18:39,780
+الفكرة يعني الآن انا في الجهاز مجرب ما اطلع على ال
+
+183
+00:18:39,780 --> 00:18:44,100
+target بس هشوف من اللي هو ال center okay
+
+184
+00:18:54,660 --> 00:19:02,200
+Basic use of lensmeter بمعنى الاستخدام الأساسي
+
+185
+00:19:02,200 --> 00:19:10,000
+لللينزميتر I piece adjustment for a proximal
+
+186
+00:19:10,000 --> 00:19:14,720
+accommodation and slight refractive errors الآن
+
+187
+00:19:14,720 --> 00:19:19,100
+بدأ أسألكم سؤال لما بتشتغلوا على ال direct
+
+188
+00:19:19,100 --> 00:19:26,480
+ophthalmoscopeأو على مثلا الستلة أو ان شاء الله
+
+189
+00:19:26,480 --> 00:19:30,980
+على الـ Lens Meter الآن انت يما بتحرك في الـ
+
+190
+00:19:30,980 --> 00:19:32,680
+Adjustment شو السبب؟
+
+191
+00:19:36,200 --> 00:19:39,220
+ممتازة أول حاجة عندنا ال amplitude of
+
+192
+00:19:39,220 --> 00:19:43,720
+accommodation اللي هي عبارة عن الفرق ما بين ال
+
+193
+00:19:43,720 --> 00:19:48,100
+power لل distance و ال power لل near هتكون مختلفة
+
+194
+00:19:48,100 --> 00:19:53,000
+ما بين scene و ما بين صد يعني كل observer أو كل
+
+195
+00:19:53,000 --> 00:19:58,530
+practitioner كل فاحص فيه له ايش؟amplitude of
+
+196
+00:19:58,530 --> 00:20:02,930
+accommodation مختلفة عن التاني الشغل التاني ان الـ
+
+197
+00:20:02,930 --> 00:20:06,370
+refractive error هيكون مختلف ممكن انا اكون normal
+
+198
+00:20:06,370 --> 00:20:09,950
+patient او normal subject ممكن تكون انت myopia
+
+199
+00:20:09,950 --> 00:20:14,810
+ممكن واحد تاني يكون hypermetropiaفعشان هيك انه
+
+200
+00:20:14,810 --> 00:20:19,850
+احنا بنعمل I piece adjustment ضبط لها for a
+
+201
+00:20:19,850 --> 00:20:23,250
+proximal accommodation اللي هي بين جثين amplitude
+
+202
+00:20:23,250 --> 00:20:27,770
+of accommodation and slight refractive errors
+
+203
+00:20:27,770 --> 00:20:32,910
+وحيكون فيه هناك اختلاف بسيط للأخطاء الانكسارية
+
+204
+00:20:32,910 --> 00:20:38,750
+للعين before
+
+205
+00:20:38,750 --> 00:20:45,260
+inserting andunknown lens set the target position
+
+206
+00:20:45,260 --> 00:20:51,040
+as zero by power wheel يا جماعة هذه نقطة مهمة قبل
+
+207
+00:20:51,040 --> 00:20:57,580
+ما انا ابدأ بوضع العدسة سواء ال uncut lens او ال
+
+208
+00:20:57,580 --> 00:21:02,620
+spectacle lens بدي احط ال wheel على ال zero اذا
+
+209
+00:21:02,620 --> 00:21:08,530
+بدي اثبتها اول حاجة على ال zero ليش طيبلأنه
+
+210
+00:21:08,530 --> 00:21:11,770
+منطقياً لما انا بدي احطها على الـ zero لازم ان
+
+211
+00:21:11,770 --> 00:21:17,430
+يكون ال target clear او sharp vision طيب لو الان
+
+212
+00:21:17,430 --> 00:21:23,470
+انا حطيت ال power wheel على ال zero وماطلعش اللي
+
+213
+00:21:23,470 --> 00:21:27,870
+هو sharp اذا في مشكلة وين؟ في الجهاز صح ولا لا؟ او
+
+214
+00:21:27,870 --> 00:21:31,450
+في مشكلة في ال adjustment بتاعت الجهاز يعني اول
+
+215
+00:21:31,450 --> 00:21:34,750
+خطوة انا بدي اعملها اللي هو تصفير الجهاز
+
+216
+00:21:38,700 --> 00:21:43,540
+استخلص الـ I-Piece Adjustment Control Target and
+
+217
+00:21:43,540 --> 00:21:50,400
+Gratical Out of Focusالان انا بدى افك مفتاح مين ال
+
+218
+00:21:50,400 --> 00:21:55,520
+I piece انا مثلا عندى minus 2 بدى اضبط ال minus 2
+
+219
+00:21:55,520 --> 00:22:00,000
+على الجهاز ال lens meter من خلال ال I piece طيب
+
+220
+00:22:00,000 --> 00:22:04,220
+انا الان يما بعمل adjustment انا بوضح مين ال
+
+221
+00:22:04,220 --> 00:22:08,880
+target صح ولا لا بالاضافة ان انا بعدل اللى هو
+
+222
+00:22:08,880 --> 00:22:14,130
+المنقلة اللى خاصة في مين في اللى هو الجهازيعني
+
+223
+00:22:14,130 --> 00:22:18,990
+بمعنى اخر اني بخلي المنقلة على المية وتمانين
+
+224
+00:22:18,990 --> 00:22:22,990
+والتسعين بخليها متعامدة بخليهاش اللي هو oblig
+
+225
+00:22:22,990 --> 00:22:33,330
+واضحة بعد ذلك screw in the eyepiece control until
+
+226
+00:22:33,330 --> 00:22:37,670
+the target and the graphical just comes into focus
+
+227
+00:22:37,670 --> 00:22:43,280
+الان انا وضحت ال targetلا يكفي ذلك لازم اخلى ال
+
+228
+00:22:43,280 --> 00:22:48,240
+target وين؟ في المنتصف يعني بمعنى اخر لو انا مثلا
+
+229
+00:22:48,240 --> 00:22:56,140
+بستخدم ال dot بدي يكون في منتصف مين ال .. ال .. ال
+
+230
+00:22:56,140 --> 00:22:59,560
+.. ال graphical اللي هي المنقلة او لو انا بستخدم
+
+231
+00:22:59,560 --> 00:23:05,140
+مثلا ال cross لازم يكون في المنتصف وضوحه انا الان
+
+232
+00:23:05,140 --> 00:23:11,720
+كده حطة البور؟ Zeroتمام واضحت اللي هو ال image
+
+233
+00:23:11,720 --> 00:23:16,180
+التنتين لا تكفي لازم كمان ال target يكون في
+
+234
+00:23:16,180 --> 00:23:20,740
+المنتصف بدنا
+
+235
+00:23:20,740 --> 00:23:25,600
+نعمل check اللي هو تأكيد set the power control
+
+236
+00:23:25,600 --> 00:23:32,090
+wheel to a random value refocus the targetThe
+
+237
+00:23:32,090 --> 00:23:36,630
+power control should read zero الآن انا مثلا بدي
+
+238
+00:23:36,630 --> 00:23:41,230
+اختبر الجهاز او بدي اتأكد انه هل ال adjustment
+
+239
+00:23:41,230 --> 00:23:45,630
+بتاعة الجهاز هذا صح ولا لأ بروح احط بشكل عشوائي
+
+240
+00:23:45,630 --> 00:23:50,010
+minus تلاتة او plus تلاتة ايش هتلاقي ال target
+
+241
+00:23:50,010 --> 00:23:55,750
+يصير فيها هتغبش صح ولا لأ مية في المية هصير اللي
+
+242
+00:23:55,750 --> 00:24:00,310
+هو blurred vision طيب رجعت ال target للزيرو
+
+243
+00:24:01,010 --> 00:24:06,270
+هتلاقيها الهو focus و هتلاقيها sharp vision إذا
+
+244
+00:24:06,270 --> 00:24:09,770
+معنى الكلام إنه أنا عند الجهاز اللي هو ال
+
+245
+00:24:09,770 --> 00:24:17,990
+adjustment بتاعه اللي هو الصحيح okay illuminated
+
+246
+00:24:17,990 --> 00:24:24,840
+targets في عندنا نوعين من الأجهزةأما بيكون الـ
+
+247
+00:24:24,840 --> 00:24:31,400
+cross lines target أو ال dots target طبعا ال dots
+
+248
+00:24:31,400 --> 00:24:35,060
+هو يعتبر أقدم من مين من ال cross line target اللي
+
+249
+00:24:35,060 --> 00:24:40,020
+هو يعتبر أكتر شيوعا والأسهل في عملية الاستخدام
+
+250
+00:24:40,020 --> 00:24:46,670
+ميجرمنت ال procedureكيف انا بدى اقيس اللى هو او
+
+251
+00:24:46,670 --> 00:24:53,530
+طريقة قياس النضارة او العدسة الغير مجسوسة من خلال
+
+252
+00:24:53,530 --> 00:24:58,230
+جهاز الـ Lensmeter الان يا جماعة الـ Lensmeter
+
+253
+00:24:58,230 --> 00:25:03,750
+بيعتمد على مبدأ ال Meridian يعني جداش انا مثلا على
+
+254
+00:25:03,750 --> 00:25:08,670
+التسعين بكتب القوة جداش مثلا على المية و تمانين
+
+255
+00:25:08,670 --> 00:25:12,030
+بكتب اللى هو القوة و هكذا تمام
+
+256
+00:25:14,660 --> 00:25:19,860
+عنا spherical lenses has the same power in all
+
+257
+00:25:19,860 --> 00:25:24,140
+meridians rare
+
+258
+00:25:24,140 --> 00:25:32,320
+surface down ايش معناه rare؟ نعم لأ هذه ك .. اه
+
+259
+00:25:32,320 --> 00:25:39,760
+هان معناها اللي هو ال back surface تمام؟ اذا هو
+
+260
+00:25:39,760 --> 00:25:43,860
+عبارة عن ال back surface
+
+261
+00:25:52,250 --> 00:25:55,330
+العدسة موجودة في الـ front surface والعدسة موجودة
+
+262
+00:25:55,330 --> 00:25:57,790
+في الـ back surface دائما بدي أمسك الـ back
+
+263
+00:25:57,790 --> 00:26:05,630
+surface و أحط العدسة طبعا عندنا back vertex power
+
+264
+00:26:05,630 --> 00:26:10,010
+is majority هيجيس اللي هو قوة العدسة
+
+265
+00:26:12,710 --> 00:26:18,030
+الـ back surface للعدسة ملاسق للجهاز إذا هو هيقيص
+
+266
+00:26:18,030 --> 00:26:26,390
+من ال back vertex power للعدسة okay ال
+
+267
+00:26:26,390 --> 00:26:31,090
+lens center is over the center of the aperture
+
+268
+00:26:31,090 --> 00:26:37,710
+الآن مباشرة أنا بروح وين لمنتصف العدسة اللي هي
+
+269
+00:26:37,710 --> 00:26:42,070
+المفترض يكون فيها ايه ال optical center of a lens
+
+270
+00:26:43,040 --> 00:26:47,440
+في عنا aperture في الجهاز زي الـ pin hole فبمسك
+
+271
+00:26:47,440 --> 00:26:52,280
+العدسة و بحطها في منتصف من ال aperture يعني لازم
+
+272
+00:26:52,280 --> 00:26:58,880
+يكون ال optical center بتاع العدسة مطابق لمن؟ لل
+
+273
+00:26:58,880 --> 00:27:00,340
+aperture بتاعة الجهاز
+
+274
+00:27:03,960 --> 00:27:08,240
+The lens should be supported by the frame table
+
+275
+00:27:08,240 --> 00:27:13,740
+الان لو انا حطيت العدسة ال free هتسقط صح ولا لا او
+
+276
+00:27:13,740 --> 00:27:19,520
+هتجع مني لازم اثبتها بمصطرة المصطرة هذه بتمسك
+
+277
+00:27:19,520 --> 00:27:22,160
+العدسة خوفا من اللي هو وقوعها
+
+278
+00:27:35,230 --> 00:27:40,910
+العدسات الاسفيرية كلها هيتها هتدي نفس الوضوح في كل
+
+279
+00:27:40,910 --> 00:27:45,490
+اللي هو الأجزاءيعني القوة واحدة هتكون يعني يا
+
+280
+00:27:45,490 --> 00:27:50,050
+جماعة مجرد ما انا مثلا عندي عدسة قوتها plus 4 مجرد
+
+281
+00:27:50,050 --> 00:27:54,890
+ما احط plus 4 هتلاحظوا انه ايش كل اللي هو ال
+
+282
+00:27:54,890 --> 00:28:03,130
+meridian بتاعة الجهاز واضحة the power wheel العجل
+
+283
+00:28:03,130 --> 00:28:09,810
+الخاص بالقوةshould be adjusted until the target is
+
+284
+00:28:09,810 --> 00:28:14,370
+becoming sharp وهذه مهمة يعني الان انا مثلا نرجع
+
+285
+00:28:14,370 --> 00:28:20,650
+للمثال عندنا plus أربعة تمام وهنا عندنا سفر وهنا
+
+286
+00:28:20,650 --> 00:28:26,430
+عندنا minus أربعة الان لو انا مشيت لحد دي plus
+
+287
+00:28:26,430 --> 00:28:31,430
+تلاتة و خمسة و سبعين هتلاحظ ان ال target واضح لكن
+
+288
+00:28:31,430 --> 00:28:38,070
+الوضوح هذا ايش مش هو ال sharpيعني لازم أصل لأفضل
+
+289
+00:28:38,070 --> 00:28:41,630
+رؤية تكون واضحة بالنسبة لمين إليه
+
+290
+00:28:48,020 --> 00:28:53,380
+The lens power read of the scale الان في مؤشر
+
+291
+00:28:53,380 --> 00:28:59,640
+الجهاز له مؤشر انا مثلا عندى plus أربعة صار الرؤية
+
+292
+00:28:59,640 --> 00:29:03,940
+او ال target واضح بقرأ قداش المؤشر جاي مثلا على
+
+293
+00:29:03,940 --> 00:29:11,660
+الأربعة على التنين على الواحد و هكذا هى
+
+294
+00:29:11,660 --> 00:29:16,020
+شايفين انتوا كيف هى مثلا عندنا الآن ايش ملاحظين
+
+295
+00:29:16,020 --> 00:29:22,820
+الصورةFaint صح ولا لأ؟ Blurred vision الآن هيك إيه
+
+296
+00:29:22,820 --> 00:29:27,320
+صار فيها؟ Sharp vision الآن مايناس سبعة إيه
+
+297
+00:29:27,320 --> 00:29:33,020
+شمالها؟ سفير يعني all the same region صح؟ إذا
+
+298
+00:29:33,020 --> 00:29:38,440
+المؤشر جاي وين؟ على الـ-7 طب عمّا حطينا ماينس ستة
+
+299
+00:29:38,440 --> 00:29:43,370
+هتكون Blurred vision أو اللي هو faintلكن الـ-7
+
+300
+00:29:43,370 --> 00:29:46,850
+المؤشر بالضبط، إذا بكتب قوة العدسة هذه قد إيش؟
+
+301
+00:29:46,850 --> 00:29:52,790
+Minus 7 يعني بتلاحظوا يا جماعة إنه ال target
+
+302
+00:29:52,790 --> 00:29:57,750
+كلهيتو يما حطينا على مؤشر الـ-7 كله إيجا نفس
+
+303
+00:29:57,750 --> 00:30:04,970
+الوضوح شايفين كيف ال space ما بين النقاط واضحة نفس
+
+304
+00:30:04,970 --> 00:30:08,190
+الفكرة وين هتكون؟ 100%
+
+305
+00:30:12,270 --> 00:30:16,710
+الان عينكم مغبش شوية نوعا ما هيك اللي هو faint
+
+306
+00:30:16,710 --> 00:30:23,650
+اكتر تمام هيك ايه صار اللي هو sharp vision بلص
+
+307
+00:30:23,650 --> 00:30:27,570
+اتنين لما انا حطيت على المؤشر بلص اتنين صارت كل
+
+308
+00:30:27,570 --> 00:30:31,670
+الرؤية ايش مالها واضحة طيب الان لو انا بدي اكتب
+
+309
+00:30:31,670 --> 00:30:39,250
+الوصفة هذه بقول ان ر X للنضارة هذه minus 7 وهان
+
+310
+00:30:39,250 --> 00:30:49,600
+مثلاRX بلص 3 مقصود فيها ديوبتر سفير و ديوبتر سفير
+
+311
+00:30:49,600 --> 00:30:58,800
+في كل المحاور بلص
+
+312
+00:30:58,800 --> 00:31:00,380
+2 ديوبتر سفير
+
+313
+00:31:14,730 --> 00:31:20,470
+الصعوبة او الاكتر دقة اللى لازم اكون فيها عبارة عن
+
+314
+00:31:20,470 --> 00:31:25,410
+الـ Sphero cylindrical lenses Sphero cylindrical
+
+315
+00:31:25,410 --> 00:31:31,210
+lenses ان كل محور هيكون فيه قوة مختلفة عن المحور
+
+316
+00:31:31,210 --> 00:31:35,250
+التاني يعني بمعنى اخر انا بدي اوضح المحور الاول
+
+317
+00:31:35,250 --> 00:31:40,090
+واخد قراءته و اوضح المحور التاني واخد قراءته و
+
+318
+00:31:40,090 --> 00:31:42,690
+بعدها اطرحهم من بعض واطلع ال final power
+
+319
+00:31:45,470 --> 00:31:49,490
+بارضه عندنا rear surface down اللي هو عبارة عن ال
+
+320
+00:31:49,490 --> 00:31:54,690
+back surface لنز back vertex power is measured اذا
+
+321
+00:31:54,690 --> 00:32:00,510
+انا بدي اقيس اللي هو السطح الخالف لمين للعدسة ال
+
+322
+00:32:00,510 --> 00:32:04,170
+lens center is over the center of the aperture the
+
+323
+00:32:04,170 --> 00:32:09,590
+same procedure ال lens should be supported by the
+
+324
+00:32:09,590 --> 00:32:16,360
+frame tableOkay هان المهم Determine the maximum
+
+325
+00:32:16,360 --> 00:32:22,480
+and minimum meridians powers يعني الآن لو أنا كان
+
+326
+00:32:22,480 --> 00:32:31,680
+عنده ال maximum plus خمسة تمام نفترض axis تسعين
+
+327
+00:32:31,680 --> 00:32:39,180
+وال minimum meridians مثلا plus دلاتة axis مية
+
+328
+00:32:39,180 --> 00:32:43,680
+وتمانينالان يما انا بدي اجي امثلها على ال optical
+
+329
+00:32:43,680 --> 00:32:51,180
+cross هتكون بالشكل هذا عندنا plus خمسة وعندنا plus
+
+330
+00:32:51,180 --> 00:33:00,100
+دلاتة ايش هقول؟ مين الكبير؟ plus خمسة الفرق بينهم
+
+331
+00:33:00,100 --> 00:33:05,980
+minus اتنين ال axis مية و تمانين
+
+332
+00:33:11,110 --> 00:33:16,330
+ليش تسعين؟ لأ دايما باخد الأكتر وضوع للصغير انا
+
+333
+00:33:16,330 --> 00:33:20,770
+meridian هذا الآن يا جماعة هذا meridian ها هذا
+
+334
+00:33:20,770 --> 00:33:23,970
+meridians اللي هو powers انا الآن بدي اكتبها بال
+
+335
+00:33:23,970 --> 00:33:28,230
+axis لو ال meridian بكتب meridian اللي هو تسعين
+
+336
+00:33:28,230 --> 00:33:33,850
+لكن axis هيكون مية و تمانينالان انا فيه عنده الهو
+
+337
+00:33:33,850 --> 00:33:39,710
+two targets باخد الكبير هو الاسفير بطرح الاصغير من
+
+338
+00:33:39,710 --> 00:33:43,510
+الكبير و بوضح الاصغير باخد ال axis بتاع مين
+
+339
+00:33:43,510 --> 00:33:48,630
+الاصغير هنك axis تمام لكن احنا بنشتغل الهو
+
+340
+00:33:48,630 --> 00:33:51,990
+meridian يعني انت بتاخد القراءة الأولى و القراءة
+
+341
+00:33:51,990 --> 00:33:55,210
+التانية انت meridian بس انت بتكتب ال final power
+
+342
+00:33:55,210 --> 00:34:01,400
+ايش axis استوابين معاهدائما انا بدى اوضح اللي هو
+
+343
+00:34:01,400 --> 00:34:05,280
+ال line بتاع اللي هو ال axis ماليش انا في ال
+
+344
+00:34:05,280 --> 00:34:11,560
+meridian طيب
+
+345
+00:34:11,560 --> 00:34:17,540
+عندنا هنا ال dots target هاي مثلا عندنا الان هيك
+
+346
+00:34:17,540 --> 00:34:23,660
+مغبش هيك التانية مغبش معناه اللي هو تطلعوا كيف ال
+
+347
+00:34:23,660 --> 00:34:24,460
+spherical cylinder
+
+348
+00:34:26,980 --> 00:34:34,460
+هي عندنا مثلا target اخر plus 2 هي
+
+349
+00:34:34,460 --> 00:34:39,360
+plus 1 هيكون عندنا ال plus 2 الكبير minus 1 axis
+
+350
+00:34:39,360 --> 00:34:42,640
+اللي هو الخمسة و أربعين ممكن واحدة تقول لي طب لو
+
+351
+00:34:42,640 --> 00:34:46,140
+بدك تب meridian اه ال meridian اتهات هتكون للكبير
+
+352
+00:34:46,140 --> 00:34:48,900
+لكن ك axis هيكون لمين للصغير
+
+353
+00:34:53,160 --> 00:34:58,480
+تمام اه ك axis ك meridian هان كتبها هو هان بقصد
+
+354
+00:34:58,480 --> 00:35:02,340
+فيها اللي هو meridian مش axis يعني عفوا الان لو
+
+355
+00:35:02,340 --> 00:35:06,320
+انت مسكت اللي هو ال autoref keratometer هتكون
+
+356
+00:35:06,320 --> 00:35:09,680
+مكتوب عندك اللي هو axis لكن هو بقصد فيها ك
+
+357
+00:35:09,680 --> 00:35:13,880
+meridian تستوعبين معاه؟ لكن احنا الآن اما بدنا
+
+358
+00:35:13,880 --> 00:35:19,240
+نعمل اللي هو ك axis باخد الكبير اللي صغير من
+
+359
+00:35:19,240 --> 00:35:22,400
+الكبير و باخد axis اللي صغير okay
+
+360
+00:35:26,860 --> 00:35:33,180
+نفس الحاجة بالنسبة لـ cross line target طبعا حسب
+
+361
+00:35:33,180 --> 00:35:37,460
+إذا كان اللي هو oblig نفس الحاجة على اللي هو الـ
+
+362
+00:35:37,460 --> 00:35:44,780
+45 أو ال130 تمام بحدد اللي هو قيمة جداش ال axis
+
+363
+00:35:44,780 --> 00:35:51,940
+اللي خاص بالعدسة في طريقة أسهل من هيك تمام هال
+
+364
+00:35:51,940 --> 00:36:00,700
+gate مثلا احنا عندنا plus 3على (-1, 40, 40, 40,
+
+365
+00:36:00,700 --> 00:36:00,780
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+366
+00:36:00,780 --> 00:36:02,200
+40, 40, 40, 40, 40, 40, 40, 40,
+
+367
+00:36:05,620 --> 00:36:06,920
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+368
+00:36:06,920 --> 00:36:09,140
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+369
+00:36:09,140 --> 00:36:10,360
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+370
+00:36:10,360 --> 00:36:10,460
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+371
+00:36:10,460 --> 00:36:10,720
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+372
+00:36:10,720 --> 00:36:15,400
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+373
+00:36:15,460 --> 00:36:18,520
+40,
+
+374
+00:36:22,920 --> 00:36:26,300
+40, 40
+
+375
+00:36:29,310 --> 00:36:34,690
+تمام؟ ايش بروح بعمل؟ الان بحط مثلا هبة بعتتلي
+
+376
+00:36:34,690 --> 00:36:39,830
+الوصفة جالتلي بدنا نشتغل على axis 40 بروح بحط
+
+377
+00:36:39,830 --> 00:36:44,650
+المنقلة على ايه؟ ال 40 من خلال ال axis wheel جداش
+
+378
+00:36:44,650 --> 00:36:49,650
+القوة طلعتها؟ plus 2 اذا انا بدي اوضح على ال plus
+
+379
+00:36:49,650 --> 00:36:55,880
+2 axis جداش 40 اشتغلوا بالطريقة هذه أسهل لكمبتوفر
+
+380
+00:36:55,880 --> 00:37:00,400
+وقت بشكل اللي هو كبير يعني الآن لو انا اديتك الـ
+
+381
+00:37:00,400 --> 00:37:06,220
+uncut lens قلتلك والله علمي ليها على 130 مباشرة
+
+382
+00:37:06,220 --> 00:37:11,900
+على اللي هو الورقة بتاعتها العدسة هيكون مكتوب مثلا
+
+383
+00:37:11,900 --> 00:37:18,620
+plus 10 على minus 1 ايش مباشرة انا اعمل؟ بجمع
+
+384
+00:37:18,620 --> 00:37:24,860
+الأول مع التاني كده هيكون؟ plus 9إذا الـ 145 أو
+
+385
+00:37:24,860 --> 00:37:28,380
+الأربعين بعلّمها على الجداش الـ plus 9 يعني الآن
+
+386
+00:37:28,380 --> 00:37:33,240
+بدي أما أوضح على ال plus 9 هذا ك axis و اللي احنا
+
+387
+00:37:33,240 --> 00:37:40,940
+بنشتغل فيه okay هاي
+
+388
+00:37:40,940 --> 00:37:45,020
+مثلا عندنا ال zero و ال minus تلاتة هياخد الكبير
+
+389
+00:37:45,020 --> 00:37:51,250
+سفير الصغير من الكبير هان هو كاتب Meridianلكن لو
+
+390
+00:37:51,250 --> 00:37:55,210
+بديها كـ axis باخد اللي هو الصغير ال target اللي
+
+391
+00:37:55,210 --> 00:38:00,010
+هو الأصغر نفس
+
+392
+00:38:00,010 --> 00:38:06,670
+الحاجة هنا في حالة ما يكون عندى اللي هو plus 2 و
+
+393
+00:38:06,670 --> 00:38:12,230
+الاصغير اللي هو plus 1 تمام plus 1 ناقص اللي هو 2
+
+394
+00:38:12,230 --> 00:38:19,600
+minus 1 طبعا axis اللي هو الصغيرطيب هيك ان شاء
+
+395
+00:38:19,600 --> 00:38:25,040
+الله ابن جاف لحديت اللي هو النقطة هذه ان شاء الله
+
+396
+00:38:25,040 --> 00:38:29,240
+هطبقلكم إياها الآن عملي معناه ربع ساعة عشان في
+
+397
+00:38:29,240 --> 00:38:33,260
+المعمل تشوفوها بطريقة عملية أسهل من اللي هو
+
+398
+00:38:33,260 --> 00:38:36,360
+الطريقة النظرية نوعا ما يعطيكم العافية وشكرا
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_raw.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..306f75a4c278a3b00f5afb886f713d9673a3922d
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/He9P5VXEVLs_raw.srt
@@ -0,0 +1,1596 @@
+1
+00:00:20,960 --> 00:00:23,520
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,520 --> 00:00:27,820
+وبركاته and a very good morning to all of you في
+
+3
+00:00:27,820 --> 00:00:37,960
+المحاضرة السابقة أخدنا قانون X بالساوية الف F
+
+4
+00:00:37,960 --> 00:00:45,660
+ال U على F ال standard lens تربيع قلنا ال X هي
+
+5
+00:00:45,660 --> 00:00:51,470
+عبارة عن ال focal length لال standard lensبساوي
+
+6
+00:00:51,470 --> 00:00:58,470
+الف ملي ميتر في ال FU اللي هي ال power of unknown
+
+7
+00:00:58,470 --> 00:01:03,490
+lens يعني قوة العدسة الغير معروفة او المجهولة
+
+8
+00:01:03,490 --> 00:01:13,350
+مقسومة على قوة العدسة ال standard تمام الان
+
+9
+00:01:13,350 --> 00:01:20,310
+التنتين هذول ايه سمناهمعبارة عن optical system
+
+10
+00:01:20,310 --> 00:01:29,410
+تمام بتكون من ال unknown lens اللي هي ال FU او
+
+11
+00:01:29,410 --> 00:01:38,490
+بسموها عبارة عن ال original lens
+
+12
+00:01:38,490 --> 00:01:45,910
+اللي هي قيمة قوة العدسة او النضارة الغير معروفة
+
+13
+00:01:45,910 --> 00:01:53,200
+وعنا ايضاهذه عبارة عن الـ standard lens او بيسموها
+
+14
+00:01:53,200 --> 00:02:02,740
+ال second lens ايضا اخدنا في المحاضرة السابقة ان
+
+15
+00:02:02,740 --> 00:02:09,620
+ال light rays اللي خارج من النضارة او ال uncut
+
+16
+00:02:09,620 --> 00:02:14,980
+lens بيكون parallel light rays و السر انه بيكون
+
+17
+00:02:14,980 --> 00:02:20,130
+parallelإن الـ target بيكون جالس على مين؟ على الـ
+
+18
+00:02:20,130 --> 00:02:26,190
+nodal point اللي خاصة بالعدسة تمام؟ هذا عبارة عن
+
+19
+00:02:26,190 --> 00:02:31,650
+الـ scale اللي بتلاقوه اللي هو في داخل الجهاز أو
+
+20
+00:02:31,650 --> 00:02:36,470
+المؤشر عندنا إما بالـ minus إذا كانت قوة العدسة
+
+21
+00:02:36,470 --> 00:02:41,050
+سالبة أو بالـ plus إذا كانت قوة العدسة موجبة
+
+22
+00:02:47,040 --> 00:02:51,980
+تمام في عندنا قاعدة مهمة كتير different unknown
+
+23
+00:02:51,980 --> 00:02:59,260
+lenses powers ايش المقصود فيها هل
+
+24
+00:02:59,260 --> 00:03:06,260
+جيت جماعة اه تفضلي يا هديل تفضلي
+
+25
+00:03:06,260 --> 00:03:13,410
+ايوةطيب عندنا بالنسبة للـ unknown lenses المقصود
+
+26
+00:03:13,410 --> 00:03:18,630
+فيها كقوة العدسة الآن احنا الجهاز ثابت وال
+
+27
+00:03:18,630 --> 00:03:23,050
+standard lens ايش بتكون constant ثابتة لكن مين
+
+28
+00:03:23,050 --> 00:03:28,820
+المتغير؟قوة النضارة او العدسة يعني الان قوة نضارة
+
+29
+00:03:28,820 --> 00:03:33,920
+او عدسة الهبة مختلفة عن هديل مختلفة عن اللي هو
+
+30
+00:03:33,920 --> 00:03:39,100
+السمية مختلفة عن X عن Y اذا هذه كلها تفي عنا ايش
+
+31
+00:03:39,100 --> 00:03:45,360
+different unknown lenses okay and the distance
+
+32
+00:03:45,360 --> 00:03:50,740
+between the unknown lens الان لو افترضنا ان مريم
+
+33
+00:03:50,740 --> 00:03:56,380
+لابسة minus 2هيكون فيها ايه؟ focal length مختلف عن
+
+34
+00:03:56,380 --> 00:04:01,020
+ال focal length تعمين صغير اللي هو plus 2 هيديني
+
+35
+00:04:01,020 --> 00:04:05,080
+focal length مختلف فالان هيصير في عندنا اختلاف في
+
+36
+00:04:05,080 --> 00:04:09,340
+قيمة ال focal length فالان اول حاجة عندنا اختلاف
+
+37
+00:04:09,340 --> 00:04:14,260
+في ال unknown lens اللي هي القوة المجهولة او الغير
+
+38
+00:04:14,260 --> 00:04:19,780
+معروفة اللي هي بتمثل قوة النضارة and the distance
+
+39
+00:04:19,780 --> 00:04:24,710
+betweenthe unknown lens والمسافة التي هي الـ focal
+
+40
+00:04:24,710 --> 00:04:30,750
+length الخاصة في مين؟ في القوة المجهولة and
+
+41
+00:04:30,750 --> 00:04:34,910
+standard lens يعني هنا عندنا ال X والـ X شرطة اللي
+
+42
+00:04:34,910 --> 00:04:40,270
+أخدناه في المحاضرة الماضية will change both the
+
+43
+00:04:40,270 --> 00:04:45,870
+target image size and location إذا سوف يغير من حجم
+
+44
+00:04:45,870 --> 00:04:51,850
+الصورة هيغير من ال targetوهيغير من ايه؟ من موقع ال
+
+45
+00:04:51,850 --> 00:04:58,530
+target إذا مرة أخرى اختلاف قوة عدسة النضارة
+
+46
+00:04:58,530 --> 00:05:04,330
+واختلاف المسافة ما بين النضارة وال standard lens
+
+47
+00:05:04,330 --> 00:05:10,410
+هذا هيغير من حجم الصورة وهيغير من موقعها وهيغير من
+
+48
+00:05:10,410 --> 00:05:11,410
+اللي هو ال target
+
+49
+00:05:29,280 --> 00:05:35,660
+الان الشكل هذا ايش بيمثل simple
+
+50
+00:05:35,660 --> 00:05:46,360
+lens meter تمام اذا هذا بيمثل simple lens meter
+
+51
+00:05:46,360 --> 00:05:50,960
+تمام او بيمثل اللي هو ال traditional
+
+52
+00:05:56,450 --> 00:06:02,190
+لنز ميتر لش طيب انا قلت traditional او simple lens
+
+53
+00:06:02,190 --> 00:06:07,010
+meter لانه مش موجودة مين ال standard lens او ال
+
+54
+00:06:07,010 --> 00:06:14,050
+second lens الان هذه العدسة هي عبارة عن مين FU صح
+
+55
+00:06:14,050 --> 00:06:20,350
+اللي هي عبارة عن ال original lens او ال unknown
+
+56
+00:06:20,350 --> 00:06:27,100
+lensالان هان ال F ال A ايش بتمثل ال nodal point
+
+57
+00:06:27,100 --> 00:06:31,500
+لمين؟
+
+58
+00:06:31,500 --> 00:06:38,860
+للعدسة ال unknown lens وهان بتمثل ال focal point
+
+59
+00:06:38,860 --> 00:06:48,760
+لمين؟ لل FU الان
+
+60
+00:06:48,760 --> 00:06:53,490
+ال light rays ايجا منالـ infinity او parallel
+
+61
+00:06:53,490 --> 00:07:00,750
+light rays اصفدم بالـ optical system او بالـ
+
+62
+00:07:00,750 --> 00:07:07,090
+unknown lens عمل ايش؟ Divergent light rays عفوا
+
+63
+00:07:07,090 --> 00:07:12,110
+Convergent light rays كلها تتجمع في ال object هذا
+
+64
+00:07:12,110 --> 00:07:17,410
+صح ولا لا؟ زي ما اتفقنا ان جزء منه ايش بيصير له؟
+
+65
+00:07:17,410 --> 00:07:23,190
+Refracted انكسار من خلال ايش؟الـ nodal point مش
+
+66
+00:07:23,190 --> 00:07:27,830
+المرة الماضية أخدنا في الـ cell lens أنه أي أشعة
+
+67
+00:07:27,830 --> 00:07:34,430
+بتمر بالسطح الأمامي للعدسة والسطح الخالفي للعدسة
+
+68
+00:07:34,430 --> 00:07:39,850
+كل واحد هيمثل nodal point تمام؟ جزء من الأشعة
+
+69
+00:07:39,850 --> 00:07:46,470
+هتنكسر لكن المعظم الأشعة أشمالها هتمر من خلال الـ
+
+70
+00:07:46,470 --> 00:07:51,080
+optical center اللي هو الـ lensلكن هذه الأشعة
+
+71
+00:07:51,080 --> 00:07:56,240
+كلهيتها يعني الجل بتاعها أو المعظم ال light rays
+
+72
+00:07:56,240 --> 00:08:00,260
+لا ينكسر أو مايحدث له أي تاء اللي هو refraction
+
+73
+00:08:00,260 --> 00:08:08,560
+okay الآن هانقش ملاحظين ان في عندنا ال X صح ولا لأ
+
+74
+00:08:08,560 --> 00:08:12,880
+اللي هي بتمثل ال focal length لل unknown lens ان
+
+75
+00:08:12,880 --> 00:08:20,370
+زي ما اتفقنا لو انا عندي عدسة قوتها ربعديوبتر بدي
+
+76
+00:08:20,370 --> 00:08:26,530
+طول جديش اربع متر صح متفقين لان مافيش عندنا
+
+77
+00:08:26,530 --> 00:08:32,790
+standard lens روحنا ايش عملنا اضفنا ال standard
+
+78
+00:08:32,790 --> 00:08:38,450
+lens اللي كانت قوتها جديش من عشرين لخمسة وعشرين
+
+79
+00:08:38,450 --> 00:08:43,570
+هذه ثابتة يا جماعة في داخل اللي هو ال instrument
+
+80
+00:08:43,570 --> 00:08:46,590
+او في داخل ال lens meter
+
+81
+00:08:53,550 --> 00:08:58,770
+الان عندما تم إضافة الـ standard lens اللى بتكون
+
+82
+00:08:58,770 --> 00:09:05,310
+قوتها plus 20 أو plus 25 ايش عملت بالـ size
+
+83
+00:09:05,310 --> 00:09:12,730
+shortness صح ولا لأ لأ ال instrument اللى عبارة عن
+
+84
+00:09:12,730 --> 00:09:20,030
+ال X شرطة قصرته طيب الان لاحظوا الحجم هل اتغير ال
+
+85
+00:09:20,030 --> 00:09:27,490
+targetحجم ال target ثابت اذا الان لما انا روح اضفت
+
+86
+00:09:27,490 --> 00:09:34,250
+عدسة standard lens قوتها plus 20 او plus 25 انا
+
+87
+00:09:34,250 --> 00:09:40,610
+قصرت مين الجهاز لكن حفظت على حجم مين لكن ايه الزاد
+
+88
+00:09:40,610 --> 00:09:47,110
+هنا غير انه حجم الجهاز قل ايش الاشي اللي زاد اكتر
+
+89
+00:09:47,110 --> 00:09:57,660
+اه يا رشادماذا زاد؟ هذا ايش بيمثل جناح؟ وهذا ايش
+
+90
+00:09:57,660 --> 00:10:02,220
+بيمثل؟ الان لو انا حطيت عدستين الـrefraction هيزيد
+
+91
+00:10:02,220 --> 00:10:07,820
+ولا هيقل؟ هيزيد، اذا هنا الانكسار ايش ماله؟ زاد،
+
+92
+00:10:07,820 --> 00:10:14,060
+نتيجة ان عندي الان F ال U وعندي F ال S عدستين بدل
+
+93
+00:10:14,060 --> 00:10:21,310
+عدسة واحدة، اذا هذا للـ slideبعمل اللي هو تلخيص
+
+94
+00:10:21,310 --> 00:10:26,470
+يما انا بكون عندى عدسة واحدة بحصل على حجم target
+
+95
+00:10:26,470 --> 00:10:32,110
+ولكن الجهاز ايش بيظله اللي هو طويل صح ولا لا لكن
+
+96
+00:10:32,110 --> 00:10:38,770
+يما انا بضيف عدسة standard lens بقصر الجهاز بحافظ
+
+97
+00:10:38,770 --> 00:10:43,790
+على حجم ال target بزود mean ال refraction تمام
+
+98
+00:10:53,970 --> 00:11:01,090
+طيب عندنا الآن عبارة عن الـ Lens Meter اللي متوفر
+
+99
+00:11:01,090 --> 00:11:07,070
+عندنا الآن اللي بتكون من F لـ U و ايضا من F لـ
+
+100
+00:11:07,070 --> 00:11:12,810
+Standard Lens ايش التعريف تاو؟ هذا عبارة عن تعريف
+
+101
+00:11:12,810 --> 00:11:18,770
+لـ Principle مبدأ جهاز الـ Lens Meter The Image
+
+102
+00:11:18,770 --> 00:11:25,110
+Size واضيفه هنا The Image Size Targetتمام؟ اذا حجم
+
+103
+00:11:25,110 --> 00:11:34,670
+الصورة لا يتغير و اكتش انه ما بتغير حجم الصورة if
+
+104
+00:11:34,670 --> 00:11:38,950
+the posterior nodal point of the second lens وين
+
+105
+00:11:38,950 --> 00:11:43,010
+ال second lens هان؟
+
+106
+00:11:43,010 --> 00:11:48,810
+لأ هى هى مش مش قالك ايش ال nodal point هان عبارة
+
+107
+00:11:48,810 --> 00:11:49,830
+عن ال second lens
+
+108
+00:11:54,650 --> 00:12:00,790
+اللي هي بتمثل ايش ال standard lens تمام؟ اذا حجم
+
+109
+00:12:00,790 --> 00:12:05,790
+ال target لا يتغير اذا ال posterior nodal point
+
+110
+00:12:05,790 --> 00:12:10,790
+شايفين وين ال nodal point؟ داخل العدسة الان ايش
+
+111
+00:12:10,790 --> 00:12:15,090
+معناه ان ال nodal point في داخل العدسة ان سلوك
+
+112
+00:12:15,090 --> 00:12:20,210
+العدسة واحد لايتغير يعني الان اي تقشعة هتمر من هنا
+
+113
+00:12:20,210 --> 00:12:25,690
+هتطلع زي ما هيهيصير اي ترفاكشن؟ لأ، ليش؟ لأنه احنا
+
+114
+00:12:25,690 --> 00:12:29,210
+في المرة الماضية او في المثال اللى جبتلكم إياها
+
+115
+00:12:29,210 --> 00:12:32,370
+كصورة كانت وين الـ nodal point بالرغم من تاعة الـ
+
+116
+00:12:32,370 --> 00:12:36,150
+F1 والـ nodal point التانية كانت هنا تاعة الـ
+
+117
+00:12:36,150 --> 00:12:40,790
+posterior فكان جزء من الأشعة بمره بطلع كما هو لكن
+
+118
+00:12:40,790 --> 00:12:45,970
+جزء بسيط وين بنكسر لكن في الحالة هذه انه الـ nodal
+
+119
+00:12:45,970 --> 00:12:49,490
+point تاعة ال standard lens او ال second lens
+
+120
+00:12:49,490 --> 00:12:54,070
+مطابق لمين؟للـ focal point بتاعة العدسة الـ
+
+121
+00:12:54,070 --> 00:12:59,930
+original lens تمام؟ يعني الآن يا جماعة، يما بيكون
+
+122
+00:12:59,930 --> 00:13:05,950
+الـ nodal point في داخل اللي هو العدسة، العدسة
+
+123
+00:13:05,950 --> 00:13:11,210
+هيكون سلوكها واحد، يعني الأشعة زي ما بتدخل زي ما
+
+124
+00:13:11,210 --> 00:13:15,570
+بتطلع، لا يحدث لها أي انكسار okay؟
+
+125
+00:13:19,300 --> 00:13:23,720
+ماذا يعني Concise؟
+
+126
+00:13:23,720 --> 00:13:29,420
+يتطابق ممتازة with the anterior focal point of the
+
+127
+00:13:29,420 --> 00:13:34,080
+original lens اذا عندنا ال focal point بتاعة
+
+128
+00:13:34,080 --> 00:13:38,260
+العدسة ال second lens تطابق ال nodal point مع ال
+
+129
+00:13:38,260 --> 00:13:43,190
+focal point تعنيتاع اللي هو الـ original lens إذا
+
+130
+00:13:43,190 --> 00:13:48,290
+في هذه الحالة حجم ال object إشماله هيظل ثابت عشان
+
+131
+00:13:48,290 --> 00:13:54,410
+هيك جد مضفنا optical system وظل ال nodal point
+
+132
+00:13:54,410 --> 00:13:59,490
+بتاع ال standard lens مطابق لل focal point بتاع ال
+
+133
+00:13:59,490 --> 00:14:04,010
+what I call التاع ال spectacle lens أو ال unknown
+
+134
+00:14:04,010 --> 00:14:10,700
+lens هيظل حجم الصورة ثابت لايتغير okayهذا كتعريف
+
+135
+00:14:10,700 --> 00:14:14,160
+لمين؟ بنسميه اللي هو knaps low
+
+136
+00:14:21,960 --> 00:14:25,480
+أخدتها أكيد في اللي هو الـ Geometric Optics تمام
+
+137
+00:14:25,480 --> 00:14:30,200
+الـ Knapp's law اللي هو المبني عليه الـ Lens Meter
+
+138
+00:14:30,200 --> 00:14:35,180
+أن حجم الصورة لا يتغير أو حجم ال target لا يتغير
+
+139
+00:14:35,180 --> 00:14:40,200
+إذا تطابق النوضل point لل standard lens مع ال
+
+140
+00:14:40,200 --> 00:14:46,840
+focal point لل second lens أو لل original ASIF
+
+141
+00:14:46,840 --> 00:14:54,360
+lens اللي هي Knapp's lawالـ Knapp's law في حالة
+
+142
+00:14:54,360 --> 00:15:03,680
+الـ Lensmeter بنسميه بدل a principle Manual
+
+143
+00:15:03,680 --> 00:15:09,980
+Lensmeters make use of the same principle أنه
+
+144
+00:15:09,980 --> 00:15:15,440
+principle؟ اللي هو البدل a principle تمام؟ اللي هو
+
+145
+00:15:15,440 --> 00:15:19,710
+عبارة عن another name لالـ Knapp's lawWhen applied
+
+146
+00:15:19,710 --> 00:15:24,090
+to lens meters, Knaps law is called the Bedel
+
+147
+00:15:24,090 --> 00:15:29,010
+principle هاي
+
+148
+00:15:29,010 --> 00:15:36,430
+عندنا الرسمة أيضا مكررة في
+
+149
+00:15:36,430 --> 00:15:42,370
+عندنا ال observer eye في عندنا أيضا اللي هو ال eye
+
+150
+00:15:42,370 --> 00:15:46,880
+piece graticule اللي هي المنقلةاللي من خلالها بحدد
+
+151
+00:15:46,880 --> 00:15:52,740
+الاتجاه السليم للـ axis تمام في عندنا ال original
+
+152
+00:15:52,740 --> 00:15:57,670
+lens أو ال spectacle lensفي ايضا ال standard lens
+
+153
+00:15:57,670 --> 00:16:02,970
+او ما يسمى بال second lens التنتين هدول بيسموهم ال
+
+154
+00:16:02,970 --> 00:16:08,730
+optical system تمام هان ال light rays بيكون اللي
+
+155
+00:16:08,730 --> 00:16:13,790
+هو متوازي اللي طالع من اللي هو ال target بسبب انه
+
+156
+00:16:13,790 --> 00:16:19,010
+ال nodal point تمام وين جالسةأو الـ target جالس
+
+157
+00:16:19,010 --> 00:16:22,650
+على الـ nodal point بتاع العدسة تمام؟ وهذا عبارة
+
+158
+00:16:22,650 --> 00:16:27,190
+عن المنقلة اللي بنشوفها في داخل اللي هو الجهاز
+
+159
+00:16:27,190 --> 00:16:33,990
+تمام؟
+
+160
+00:16:33,990 --> 00:16:39,950
+طيب في حاجة اسمها astronomical telescope إيش
+
+161
+00:16:39,950 --> 00:16:45,730
+معناها؟ التلسكوب الفضائي تمام؟ التلسكوب الفضائي
+
+162
+00:16:45,730 --> 00:16:52,670
+بتكون من عدستينعنا عدسة اللي هي ال eye piece وعنا
+
+163
+00:16:52,670 --> 00:16:57,970
+عدسة تانية ال objective lens التنتين هدولة بيكونوا
+
+164
+00:16:57,970 --> 00:17:04,210
+positive lens او plus lens على طول لما انا بحكي
+
+165
+00:17:04,210 --> 00:17:08,890
+positive او plus lens ايش بيجي على بالي ان الصورة
+
+166
+00:17:08,890 --> 00:17:12,630
+شكلها بيكون virtual صح ولا لأ و بتكون
+
+167
+00:17:12,630 --> 00:17:17,230
+magnification مكبرة تمام من ال characteristics
+
+168
+00:17:17,230 --> 00:17:23,990
+الخاصة في الصورةبكون هى عندنا ال objective lens
+
+169
+00:17:23,990 --> 00:17:30,790
+وال IBS lens التانية اكثر طيب كيف بيصيرله adjusted
+
+170
+00:17:30,790 --> 00:17:37,150
+ايش معناه adjusted انه ضبط تمام is adjusted so
+
+171
+00:17:37,150 --> 00:17:43,410
+that it's focused on infinity يعني انا بعمله عملية
+
+172
+00:17:43,410 --> 00:17:48,790
+اللى هو ضبط بيحدث لما بتكون الأشعة من وين جاية من
+
+173
+00:17:48,790 --> 00:17:53,450
+ال infinityطيب ال light rays يما تكون جاية من ال
+
+174
+00:17:53,450 --> 00:17:57,390
+infinity إيش هتكون؟ يعني ال divergence مقدش هيكون
+
+175
+00:17:57,390 --> 00:18:03,090
+لها zero مية في المية and therefore only parallel
+
+176
+00:18:03,090 --> 00:18:07,730
+light will be seen in focus طيب الآن الأشعة كلها
+
+177
+00:18:07,730 --> 00:18:14,490
+جاية من ال infinity إذا هي parallel light rays ال
+
+178
+00:18:14,490 --> 00:18:19,330
+divergence فيها zero طيب التمركز وين هيكون فقط؟
+
+179
+00:18:21,020 --> 00:18:24,640
+يعني في البقرة صح ولا لا ال focus بتاعها او ال
+
+180
+00:18:24,640 --> 00:18:28,520
+target هيكون فقط في اللي هو البقرة يعني انا فقط
+
+181
+00:18:28,520 --> 00:18:33,780
+هشوف ال light rays وين من خلال ال target واضح
+
+182
+00:18:33,780 --> 00:18:39,780
+الفكرة يعني الآن انا في الجهاز مجرب ما اطلع على ال
+
+183
+00:18:39,780 --> 00:18:44,100
+target بس هشوف من اللي هو ال center okay
+
+184
+00:18:54,660 --> 00:19:02,200
+Basic use of lensmeter بمعنى الاستخدام الأساسي
+
+185
+00:19:02,200 --> 00:19:10,000
+لللينزميتر I piece adjustment for a proximal
+
+186
+00:19:10,000 --> 00:19:14,720
+accommodation and slight refractive errors الآن
+
+187
+00:19:14,720 --> 00:19:19,100
+بدأ أسألكم سؤال لما بتشتغلوا على ال direct
+
+188
+00:19:19,100 --> 00:19:26,480
+ophthalmoscopeأو على مثلا الستلة أو ان شاء الله
+
+189
+00:19:26,480 --> 00:19:30,980
+على الـ Lens Meter الآن انت يما بتحرك في الـ
+
+190
+00:19:30,980 --> 00:19:32,680
+Adjustment شو السبب؟
+
+191
+00:19:36,200 --> 00:19:39,220
+ممتازة أول حاجة عندنا ال amplitude of
+
+192
+00:19:39,220 --> 00:19:43,720
+accommodation اللي هي عبارة عن الفرق ما بين ال
+
+193
+00:19:43,720 --> 00:19:48,100
+power لل distance و ال power لل near هتكون مختلفة
+
+194
+00:19:48,100 --> 00:19:53,000
+ما بين scene و ما بين صد يعني كل observer أو كل
+
+195
+00:19:53,000 --> 00:19:58,530
+practitioner كل فاحص فيه له ايش؟amplitude of
+
+196
+00:19:58,530 --> 00:20:02,930
+accommodation مختلفة عن التاني الشغل التاني ان الـ
+
+197
+00:20:02,930 --> 00:20:06,370
+refractive error هيكون مختلف ممكن انا اكون normal
+
+198
+00:20:06,370 --> 00:20:09,950
+patient او normal subject ممكن تكون انت myopia
+
+199
+00:20:09,950 --> 00:20:14,810
+ممكن واحد تاني يكون hypermetropiaفعشان هيك انه
+
+200
+00:20:14,810 --> 00:20:19,850
+احنا بنعمل I piece adjustment ضبط لها for a
+
+201
+00:20:19,850 --> 00:20:23,250
+proximal accommodation اللي هي بين جثين amplitude
+
+202
+00:20:23,250 --> 00:20:27,770
+of accommodation and slight refractive errors
+
+203
+00:20:27,770 --> 00:20:32,910
+وحيكون فيه هناك اختلاف بسيط للأخطاء الانكسارية
+
+204
+00:20:32,910 --> 00:20:38,750
+للعين before
+
+205
+00:20:38,750 --> 00:20:45,260
+inserting andunknown lens set the target position
+
+206
+00:20:45,260 --> 00:20:51,040
+as zero by power wheel يا جماعة هذه نقطة مهمة قبل
+
+207
+00:20:51,040 --> 00:20:57,580
+ما انا ابدأ بوضع العدسة سواء ال uncut lens او ال
+
+208
+00:20:57,580 --> 00:21:02,620
+spectacle lens بدي احط ال wheel على ال zero اذا
+
+209
+00:21:02,620 --> 00:21:08,530
+بدي اثبتها اول حاجة على ال zero ليش طيبلأنه
+
+210
+00:21:08,530 --> 00:21:11,770
+منطقياً لما انا بدي احطها على الـ zero لازم ان
+
+211
+00:21:11,770 --> 00:21:17,430
+يكون ال target clear او sharp vision طيب لو الان
+
+212
+00:21:17,430 --> 00:21:23,470
+انا حطيت ال power wheel على ال zero وماطلعش اللي
+
+213
+00:21:23,470 --> 00:21:27,870
+هو sharp اذا في مشكلة وين؟ في الجهاز صح ولا لا؟ او
+
+214
+00:21:27,870 --> 00:21:31,450
+في مشكلة في ال adjustment بتاعت الجهاز يعني اول
+
+215
+00:21:31,450 --> 00:21:34,750
+خطوة انا بدي اعملها اللي هو تصفير الجهاز
+
+216
+00:21:38,700 --> 00:21:43,540
+استخلص الـ I-Piece Adjustment Control Target and
+
+217
+00:21:43,540 --> 00:21:50,400
+Gratical Out of Focusالان انا بدى افك مفتاح مين ال
+
+218
+00:21:50,400 --> 00:21:55,520
+I piece انا مثلا عندى minus 2 بدى اضبط ال minus 2
+
+219
+00:21:55,520 --> 00:22:00,000
+على الجهاز ال lens meter من خلال ال I piece طيب
+
+220
+00:22:00,000 --> 00:22:04,220
+انا الان يما بعمل adjustment انا بوضح مين ال
+
+221
+00:22:04,220 --> 00:22:08,880
+target صح ولا لا بالاضافة ان انا بعدل اللى هو
+
+222
+00:22:08,880 --> 00:22:14,130
+المنقلة اللى خاصة في مين في اللى هو الجهازيعني
+
+223
+00:22:14,130 --> 00:22:18,990
+بمعنى اخر اني بخلي المنقلة على المية وتمانين
+
+224
+00:22:18,990 --> 00:22:22,990
+والتسعين بخليها متعامدة بخليهاش اللي هو oblig
+
+225
+00:22:22,990 --> 00:22:33,330
+واضحة بعد ذلك screw in the eyepiece control until
+
+226
+00:22:33,330 --> 00:22:37,670
+the target and the graphical just comes into focus
+
+227
+00:22:37,670 --> 00:22:43,280
+الان انا وضحت ال targetلا يكفي ذلك لازم اخلى ال
+
+228
+00:22:43,280 --> 00:22:48,240
+target وين؟ في المنتصف يعني بمعنى اخر لو انا مثلا
+
+229
+00:22:48,240 --> 00:22:56,140
+بستخدم ال dot بدي يكون في منتصف مين ال .. ال .. ال
+
+230
+00:22:56,140 --> 00:22:59,560
+.. ال graphical اللي هي المنقلة او لو انا بستخدم
+
+231
+00:22:59,560 --> 00:23:05,140
+مثلا ال cross لازم يكون في المنتصف وضوحه انا الان
+
+232
+00:23:05,140 --> 00:23:11,720
+كده حطة البور؟ Zeroتمام واضحت اللي هو ال image
+
+233
+00:23:11,720 --> 00:23:16,180
+التنتين لا تكفي لازم كمان ال target يكون في
+
+234
+00:23:16,180 --> 00:23:20,740
+المنتصف بدنا
+
+235
+00:23:20,740 --> 00:23:25,600
+نعمل check اللي هو تأكيد set the power control
+
+236
+00:23:25,600 --> 00:23:32,090
+wheel to a random value refocus the targetThe
+
+237
+00:23:32,090 --> 00:23:36,630
+power control should read zero الآن انا مثلا بدي
+
+238
+00:23:36,630 --> 00:23:41,230
+اختبر الجهاز او بدي اتأكد انه هل ال adjustment
+
+239
+00:23:41,230 --> 00:23:45,630
+بتاعة الجهاز هذا صح ولا لأ بروح احط بشكل عشوائي
+
+240
+00:23:45,630 --> 00:23:50,010
+minus تلاتة او plus تلاتة ايش هتلاقي ال target
+
+241
+00:23:50,010 --> 00:23:55,750
+يصير فيها هتغبش صح ولا لأ مية في المية هصير اللي
+
+242
+00:23:55,750 --> 00:24:00,310
+هو blurred vision طيب رجعت ال target للزيرو
+
+243
+00:24:01,010 --> 00:24:06,270
+هتلاقيها الهو focus و هتلاقيها sharp vision إذا
+
+244
+00:24:06,270 --> 00:24:09,770
+معنى الكلام إنه أنا عند الجهاز اللي هو ال
+
+245
+00:24:09,770 --> 00:24:17,990
+adjustment بتاعه اللي هو الصحيح okay illuminated
+
+246
+00:24:17,990 --> 00:24:24,840
+targets في عندنا نوعين من الأجهزةأما بيكون الـ
+
+247
+00:24:24,840 --> 00:24:31,400
+cross lines target أو ال dots target طبعا ال dots
+
+248
+00:24:31,400 --> 00:24:35,060
+هو يعتبر أقدم من مين من ال cross line target اللي
+
+249
+00:24:35,060 --> 00:24:40,020
+هو يعتبر أكتر شيوعا والأسهل في عملية الاستخدام
+
+250
+00:24:40,020 --> 00:24:46,670
+ميجرمنت ال procedureكيف انا بدى اقيس اللى هو او
+
+251
+00:24:46,670 --> 00:24:53,530
+طريقة قياس النضارة او العدسة الغير مجسوسة من خلال
+
+252
+00:24:53,530 --> 00:24:58,230
+جهاز الـ Lensmeter الان يا جماعة الـ Lensmeter
+
+253
+00:24:58,230 --> 00:25:03,750
+بيعتمد على مبدأ ال Meridian يعني جداش انا مثلا على
+
+254
+00:25:03,750 --> 00:25:08,670
+التسعين بكتب القوة جداش مثلا على المية و تمانين
+
+255
+00:25:08,670 --> 00:25:12,030
+بكتب اللى هو القوة و هكذا تمام
+
+256
+00:25:14,660 --> 00:25:19,860
+عنا spherical lenses has the same power in all
+
+257
+00:25:19,860 --> 00:25:24,140
+meridians rare
+
+258
+00:25:24,140 --> 00:25:32,320
+surface down ايش معناه rare؟ نعم لأ هذه ك .. اه
+
+259
+00:25:32,320 --> 00:25:39,760
+هان معناها اللي هو ال back surface تمام؟ اذا هو
+
+260
+00:25:39,760 --> 00:25:43,860
+عبارة عن ال back surface
+
+261
+00:25:52,250 --> 00:25:55,330
+العدسة موجودة في الـ front surface والعدسة موجودة
+
+262
+00:25:55,330 --> 00:25:57,790
+في الـ back surface دائما بدي أمسك الـ back
+
+263
+00:25:57,790 --> 00:26:05,630
+surface و أحط العدسة طبعا عندنا back vertex power
+
+264
+00:26:05,630 --> 00:26:10,010
+is majority هيجيس اللي هو قوة العدسة
+
+265
+00:26:12,710 --> 00:26:18,030
+الـ back surface للعدسة ملاسق للجهاز إذا هو هيقيص
+
+266
+00:26:18,030 --> 00:26:26,390
+من ال back vertex power للعدسة okay ال
+
+267
+00:26:26,390 --> 00:26:31,090
+lens center is over the center of the aperture
+
+268
+00:26:31,090 --> 00:26:37,710
+الآن مباشرة أنا بروح وين لمنتصف العدسة اللي هي
+
+269
+00:26:37,710 --> 00:26:42,070
+المفترض يكون فيها ايه ال optical center of a lens
+
+270
+00:26:43,040 --> 00:26:47,440
+في عنا aperture في الجهاز زي الـ pin hole فبمسك
+
+271
+00:26:47,440 --> 00:26:52,280
+العدسة و بحطها في منتصف من ال aperture يعني لازم
+
+272
+00:26:52,280 --> 00:26:58,880
+يكون ال optical center بتاع العدسة مطابق لمن؟ لل
+
+273
+00:26:58,880 --> 00:27:00,340
+aperture بتاعة الجهاز
+
+274
+00:27:03,960 --> 00:27:08,240
+The lens should be supported by the frame table
+
+275
+00:27:08,240 --> 00:27:13,740
+الان لو انا حطيت العدسة ال free هتسقط صح ولا لا او
+
+276
+00:27:13,740 --> 00:27:19,520
+هتجع مني لازم اثبتها بمصطرة المصطرة هذه بتمسك
+
+277
+00:27:19,520 --> 00:27:22,160
+العدسة خوفا من اللي هو وقوعها
+
+278
+00:27:35,230 --> 00:27:40,910
+العدسات الاسفيرية كلها هيتها هتدي نفس الوضوح في كل
+
+279
+00:27:40,910 --> 00:27:45,490
+اللي هو الأجزاءيعني القوة واحدة هتكون يعني يا
+
+280
+00:27:45,490 --> 00:27:50,050
+جماعة مجرد ما انا مثلا عندي عدسة قوتها plus 4 مجرد
+
+281
+00:27:50,050 --> 00:27:54,890
+ما احط plus 4 هتلاحظوا انه ايش كل اللي هو ال
+
+282
+00:27:54,890 --> 00:28:03,130
+meridian بتاعة الجهاز واضحة the power wheel العجل
+
+283
+00:28:03,130 --> 00:28:09,810
+الخاص بالقوةshould be adjusted until the target is
+
+284
+00:28:09,810 --> 00:28:14,370
+becoming sharp وهذه مهمة يعني الان انا مثلا نرجع
+
+285
+00:28:14,370 --> 00:28:20,650
+للمثال عندنا plus أربعة تمام وهنا عندنا سفر وهنا
+
+286
+00:28:20,650 --> 00:28:26,430
+عندنا minus أربعة الان لو انا مشيت لحد دي plus
+
+287
+00:28:26,430 --> 00:28:31,430
+تلاتة و خمسة و سبعين هتلاحظ ان ال target واضح لكن
+
+288
+00:28:31,430 --> 00:28:38,070
+الوضوح هذا ايش مش هو ال sharpيعني لازم أصل لأفضل
+
+289
+00:28:38,070 --> 00:28:41,630
+رؤية تكون واضحة بالنسبة لمين إليه
+
+290
+00:28:48,020 --> 00:28:53,380
+The lens power read of the scale الان في مؤشر
+
+291
+00:28:53,380 --> 00:28:59,640
+الجهاز له مؤشر انا مثلا عندى plus أربعة صار الرؤية
+
+292
+00:28:59,640 --> 00:29:03,940
+او ال target واضح بقرأ قداش المؤشر جاي مثلا على
+
+293
+00:29:03,940 --> 00:29:11,660
+الأربعة على التنين على الواحد و هكذا هى
+
+294
+00:29:11,660 --> 00:29:16,020
+شايفين انتوا كيف هى مثلا عندنا الآن ايش ملاحظين
+
+295
+00:29:16,020 --> 00:29:22,820
+الصورةFaint صح ولا لأ؟ Blurred vision الآن هيك إيه
+
+296
+00:29:22,820 --> 00:29:27,320
+صار فيها؟ Sharp vision الآن مايناس سبعة إيه
+
+297
+00:29:27,320 --> 00:29:33,020
+شمالها؟ سفير يعني all the same region صح؟ إذا
+
+298
+00:29:33,020 --> 00:29:38,440
+المؤشر جاي وين؟ على الـ-7 طب عمّا حطينا ماينس ستة
+
+299
+00:29:38,440 --> 00:29:43,370
+هتكون Blurred vision أو اللي هو faintلكن الـ-7
+
+300
+00:29:43,370 --> 00:29:46,850
+المؤشر بالضبط، إذا بكتب قوة العدسة هذه قد إيش؟
+
+301
+00:29:46,850 --> 00:29:52,790
+Minus 7 يعني بتلاحظوا يا جماعة إنه ال target
+
+302
+00:29:52,790 --> 00:29:57,750
+كلهيتو يما حطينا على مؤشر الـ-7 كله إيجا نفس
+
+303
+00:29:57,750 --> 00:30:04,970
+الوضوح شايفين كيف ال space ما بين النقاط واضحة نفس
+
+304
+00:30:04,970 --> 00:30:08,190
+الفكرة وين هتكون؟ 100%
+
+305
+00:30:12,270 --> 00:30:16,710
+الان عينكم مغبش شوية نوعا ما هيك اللي هو faint
+
+306
+00:30:16,710 --> 00:30:23,650
+اكتر تمام هيك ايه صار اللي هو sharp vision بلص
+
+307
+00:30:23,650 --> 00:30:27,570
+اتنين لما انا حطيت على المؤشر بلص اتنين صارت كل
+
+308
+00:30:27,570 --> 00:30:31,670
+الرؤية ايش مالها واضحة طيب الان لو انا بدي اكتب
+
+309
+00:30:31,670 --> 00:30:39,250
+الوصفة هذه بقول ان ر X للنضارة هذه minus 7 وهان
+
+310
+00:30:39,250 --> 00:30:49,600
+مثلاRX بلص 3 مقصود فيها ديوبتر سفير و ديوبتر سفير
+
+311
+00:30:49,600 --> 00:30:58,800
+في كل المحاور بلص
+
+312
+00:30:58,800 --> 00:31:00,380
+2 ديوبتر سفير
+
+313
+00:31:14,730 --> 00:31:20,470
+الصعوبة او الاكتر دقة اللى لازم اكون فيها عبارة عن
+
+314
+00:31:20,470 --> 00:31:25,410
+الـ Sphero cylindrical lenses Sphero cylindrical
+
+315
+00:31:25,410 --> 00:31:31,210
+lenses ان كل محور هيكون فيه قوة مختلفة عن المحور
+
+316
+00:31:31,210 --> 00:31:35,250
+التاني يعني بمعنى اخر انا بدي اوضح المحور الاول
+
+317
+00:31:35,250 --> 00:31:40,090
+واخد قراءته و اوضح المحور التاني واخد قراءته و
+
+318
+00:31:40,090 --> 00:31:42,690
+بعدها اطرحهم من بعض واطلع ال final power
+
+319
+00:31:45,470 --> 00:31:49,490
+بارضه عندنا rear surface down اللي هو عبارة عن ال
+
+320
+00:31:49,490 --> 00:31:54,690
+back surface لنز back vertex power is measured اذا
+
+321
+00:31:54,690 --> 00:32:00,510
+انا بدي اقيس اللي هو السطح الخالف لمين للعدسة ال
+
+322
+00:32:00,510 --> 00:32:04,170
+lens center is over the center of the aperture the
+
+323
+00:32:04,170 --> 00:32:09,590
+same procedure ال lens should be supported by the
+
+324
+00:32:09,590 --> 00:32:16,360
+frame tableOkay هان المهم Determine the maximum
+
+325
+00:32:16,360 --> 00:32:22,480
+and minimum meridians powers يعني الآن لو أنا كان
+
+326
+00:32:22,480 --> 00:32:31,680
+عنده ال maximum plus خمسة تمام نفترض axis تسعين
+
+327
+00:32:31,680 --> 00:32:39,180
+وال minimum meridians مثلا plus دلاتة axis مية
+
+328
+00:32:39,180 --> 00:32:43,680
+وتمانينالان يما انا بدي اجي امثلها على ال optical
+
+329
+00:32:43,680 --> 00:32:51,180
+cross هتكون بالشكل هذا عندنا plus خمسة وعندنا plus
+
+330
+00:32:51,180 --> 00:33:00,100
+دلاتة ايش هقول؟ مين الكبير؟ plus خمسة الفرق بينهم
+
+331
+00:33:00,100 --> 00:33:05,980
+minus اتنين ال axis مية و تمانين
+
+332
+00:33:11,110 --> 00:33:16,330
+ليش تسعين؟ لأ دايما باخد الأكتر وضوع للصغير انا
+
+333
+00:33:16,330 --> 00:33:20,770
+meridian هذا الآن يا جماعة هذا meridian ها هذا
+
+334
+00:33:20,770 --> 00:33:23,970
+meridians اللي هو powers انا الآن بدي اكتبها بال
+
+335
+00:33:23,970 --> 00:33:28,230
+axis لو ال meridian بكتب meridian اللي هو تسعين
+
+336
+00:33:28,230 --> 00:33:33,850
+لكن axis هيكون مية و تمانينالان انا فيه عنده الهو
+
+337
+00:33:33,850 --> 00:33:39,710
+two targets باخد الكبير هو الاسفير بطرح الاصغير من
+
+338
+00:33:39,710 --> 00:33:43,510
+الكبير و بوضح الاصغير باخد ال axis بتاع مين
+
+339
+00:33:43,510 --> 00:33:48,630
+الاصغير هنك axis تمام لكن احنا بنشتغل الهو
+
+340
+00:33:48,630 --> 00:33:51,990
+meridian يعني انت بتاخد القراءة الأولى و القراءة
+
+341
+00:33:51,990 --> 00:33:55,210
+التانية انت meridian بس انت بتكتب ال final power
+
+342
+00:33:55,210 --> 00:34:01,400
+ايش axis استوابين معاهدائما انا بدى اوضح اللي هو
+
+343
+00:34:01,400 --> 00:34:05,280
+ال line بتاع اللي هو ال axis ماليش انا في ال
+
+344
+00:34:05,280 --> 00:34:11,560
+meridian طيب
+
+345
+00:34:11,560 --> 00:34:17,540
+عندنا هنا ال dots target هاي مثلا عندنا الان هيك
+
+346
+00:34:17,540 --> 00:34:23,660
+مغبش هيك التانية مغبش معناه اللي هو تطلعوا كيف ال
+
+347
+00:34:23,660 --> 00:34:24,460
+spherical cylinder
+
+348
+00:34:26,980 --> 00:34:34,460
+هي عندنا مثلا target اخر plus 2 هي
+
+349
+00:34:34,460 --> 00:34:39,360
+plus 1 هيكون عندنا ال plus 2 الكبير minus 1 axis
+
+350
+00:34:39,360 --> 00:34:42,640
+اللي هو الخمسة و أربعين ممكن واحدة تقول لي طب لو
+
+351
+00:34:42,640 --> 00:34:46,140
+بدك تب meridian اه ال meridian اتهات هتكون للكبير
+
+352
+00:34:46,140 --> 00:34:48,900
+لكن ك axis هيكون لمين للصغير
+
+353
+00:34:53,160 --> 00:34:58,480
+تمام اه ك axis ك meridian هان كتبها هو هان بقصد
+
+354
+00:34:58,480 --> 00:35:02,340
+فيها اللي هو meridian مش axis يعني عفوا الان لو
+
+355
+00:35:02,340 --> 00:35:06,320
+انت مسكت اللي هو ال autoref keratometer هتكون
+
+356
+00:35:06,320 --> 00:35:09,680
+مكتوب عندك اللي هو axis لكن هو بقصد فيها ك
+
+357
+00:35:09,680 --> 00:35:13,880
+meridian تستوعبين معاه؟ لكن احنا الآن اما بدنا
+
+358
+00:35:13,880 --> 00:35:19,240
+نعمل اللي هو ك axis باخد الكبير اللي صغير من
+
+359
+00:35:19,240 --> 00:35:22,400
+الكبير و باخد axis اللي صغير okay
+
+360
+00:35:26,860 --> 00:35:33,180
+نفس الحاجة بالنسبة لـ cross line target طبعا حسب
+
+361
+00:35:33,180 --> 00:35:37,460
+إذا كان اللي هو oblig نفس الحاجة على اللي هو الـ
+
+362
+00:35:37,460 --> 00:35:44,780
+45 أو ال130 تمام بحدد اللي هو قيمة جداش ال axis
+
+363
+00:35:44,780 --> 00:35:51,940
+اللي خاص بالعدسة في طريقة أسهل من هيك تمام هال
+
+364
+00:35:51,940 --> 00:36:00,700
+gate مثلا احنا عندنا plus 3على (-1, 40, 40, 40,
+
+365
+00:36:00,700 --> 00:36:00,780
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+366
+00:36:00,780 --> 00:36:02,200
+40, 40, 40, 40, 40, 40, 40, 40,
+
+367
+00:36:05,620 --> 00:36:06,920
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+368
+00:36:06,920 --> 00:36:09,140
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+369
+00:36:09,140 --> 00:36:10,360
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+370
+00:36:10,360 --> 00:36:10,460
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+371
+00:36:10,460 --> 00:36:10,720
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+372
+00:36:10,720 --> 00:36:10,720
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+373
+00:36:10,720 --> 00:36:15,400
+40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
+
+374
+00:36:15,460 --> 00:36:18,520
+40,
+
+375
+00:36:22,920 --> 00:36:26,300
+40, 40
+
+376
+00:36:29,310 --> 00:36:34,690
+تمام؟ ايش بروح بعمل؟ الان بحط مثلا هبة بعتتلي
+
+377
+00:36:34,690 --> 00:36:39,830
+الوصفة جالتلي بدنا نشتغل على axis 40 بروح بحط
+
+378
+00:36:39,830 --> 00:36:44,650
+المنقلة على ايه؟ ال 40 من خلال ال axis wheel جداش
+
+379
+00:36:44,650 --> 00:36:49,650
+القوة طلعتها؟ plus 2 اذا انا بدي اوضح على ال plus
+
+380
+00:36:49,650 --> 00:36:55,880
+2 axis جداش 40 اشتغلوا بالطريقة هذه أسهل لكمبتوفر
+
+381
+00:36:55,880 --> 00:37:00,400
+وقت بشكل اللي هو كبير يعني الآن لو انا اديتك الـ
+
+382
+00:37:00,400 --> 00:37:06,220
+uncut lens قلتلك والله علمي ليها على 130 مباشرة
+
+383
+00:37:06,220 --> 00:37:11,900
+على اللي هو الورقة بتاعتها العدسة هيكون مكتوب مثلا
+
+384
+00:37:11,900 --> 00:37:18,620
+plus 10 على minus 1 ايش مباشرة انا اعمل؟ بجمع
+
+385
+00:37:18,620 --> 00:37:24,860
+الأول مع التاني كده هيكون؟ plus 9إذا الـ 145 أو
+
+386
+00:37:24,860 --> 00:37:28,380
+الأربعين بعلّمها على الجداش الـ plus 9 يعني الآن
+
+387
+00:37:28,380 --> 00:37:33,240
+بدي أما أوضح على ال plus 9 هذا ك axis و اللي احنا
+
+388
+00:37:33,240 --> 00:37:40,940
+بنشتغل فيه okay هاي
+
+389
+00:37:40,940 --> 00:37:45,020
+مثلا عندنا ال zero و ال minus تلاتة هياخد الكبير
+
+390
+00:37:45,020 --> 00:37:51,250
+سفير الصغير من الكبير هان هو كاتب Meridianلكن لو
+
+391
+00:37:51,250 --> 00:37:55,210
+بديها كـ axis باخد اللي هو الصغير ال target اللي
+
+392
+00:37:55,210 --> 00:38:00,010
+هو الأصغر نفس
+
+393
+00:38:00,010 --> 00:38:06,670
+الحاجة هنا في حالة ما يكون عندى اللي هو plus 2 و
+
+394
+00:38:06,670 --> 00:38:12,230
+الاصغير اللي هو plus 1 تمام plus 1 ناقص اللي هو 2
+
+395
+00:38:12,230 --> 00:38:19,600
+minus 1 طبعا axis اللي هو الصغيرطيب هيك ان شاء
+
+396
+00:38:19,600 --> 00:38:25,040
+الله ابن جاف لحديت اللي هو النقطة هذه ان شاء الله
+
+397
+00:38:25,040 --> 00:38:29,240
+هطبقلكم إياها الآن عملي معناه ربع ساعة عشان في
+
+398
+00:38:29,240 --> 00:38:33,260
+المعمل تشوفوها بطريقة عملية أسهل من اللي هو
+
+399
+00:38:33,260 --> 00:38:36,360
+الطريقة النظرية نوعا ما يعطيكم العافية وشكرا
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/NabJQJDd3-Y_raw.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/NabJQJDd3-Y_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..a66e2fa41a25dac7c56a870e166782fce34a0193
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/NabJQJDd3-Y_raw.srt
@@ -0,0 +1,1340 @@
+1
+00:00:20,940 --> 00:00:23,780
+باسم الله الرحمن الرحيم السلام عليكم و رحمة الله و
+
+2
+00:00:23,780 --> 00:00:28,720
+بركاته و أهلا و رحمة لكم جميعا ان شاء الله اليوم
+
+3
+00:00:28,720 --> 00:00:35,440
+هنبدأ في محاضرة للطالبات بعنوان measure of lens
+
+4
+00:00:35,440 --> 00:00:41,180
+power by a neutralization method, geneva clock
+
+5
+00:00:41,180 --> 00:00:47,340
+method and lensmeter methodحيفضموها الطالبات كل من
+
+6
+00:00:47,340 --> 00:00:54,380
+Esra El Efsin و Nesma or Nesma Abu Salem, Afnan
+
+7
+00:00:54,380 --> 00:01:01,900
+Oman و Fatima Azam او Fatima Azam ان شاء الله،
+
+8
+00:01:01,900 --> 00:01:07,530
+اتفضلوابسم الله الرحمن الرحيم، معاكم ميس مابو سهل،
+
+9
+00:01:07,530 --> 00:01:10,930
+today we will talk about measurement of lens power
+
+10
+00:01:10,930 --> 00:01:15,470
+هناك three method لقياس قوة العدسة، أوله طريقة ال
+
+11
+00:01:15,470 --> 00:01:19,630
+neutralization، تالت طريقة Geneva o clock، تالت
+
+12
+00:01:19,630 --> 00:01:23,690
+طريقة ال lens meter، من حيث الدقة ال lens meter
+
+13
+00:01:23,690 --> 00:01:27,250
+أكثرهم دقة، بعدها بيئة ال Geneva o clock، ال
+
+14
+00:01:27,250 --> 00:01:28,710
+neutralization هي أقل دقة
+
+15
+00:01:31,610 --> 00:01:34,830
+الـ neutralization اللي هي طريقة .. طريقة المعادلة
+
+16
+00:01:34,830 --> 00:01:38,750
+لمعرفة قوة العدسة two lenses neutralize each other
+
+17
+00:01:38,750 --> 00:01:41,110
+when blessed in contact with each other so that
+
+18
+00:01:41,110 --> 00:01:43,810
+the combined power of the two lenses is equal to
+
+19
+00:01:43,810 --> 00:01:51,060
+zero أول حاجةيجب وضع الأحداث تان انه بحيث يكونوا
+
+20
+00:01:51,060 --> 00:01:55,940
+متلاثقات مع بعض .. بحيث يكونوا متلاثقات العدسة
+
+21
+00:01:55,940 --> 00:01:58,640
+الأولى اللى هى ال unknown lens الغير .. العدسة
+
+22
+00:01:58,640 --> 00:02:02,000
+الأولى لل unknown lens الغير معروفة قوتها و العدسة
+
+23
+00:02:02,000 --> 00:02:04,660
+التانية اللى هى ال non lens اللى بتنعدل فيها
+
+24
+00:02:04,660 --> 00:02:09,530
+للحصول على no movementan unknown lens is
+
+25
+00:02:09,530 --> 00:02:12,750
+neutralized by non neutral lens of equal power but
+
+26
+00:02:12,750 --> 00:02:16,970
+opposite in sign وللتعرف على قوة العدسة نقطة قوة
+
+27
+00:02:16,970 --> 00:02:21,370
+معاكسة لل sign الخاص بيها وفي النهاية العدستان
+
+28
+00:02:21,370 --> 00:02:26,210
+بيكونوا عدسين بوار no movementis often used to
+
+29
+00:02:26,210 --> 00:02:28,630
+noun the power of sphere and cylinder lenses
+
+30
+00:02:28,630 --> 00:02:32,270
+تستخدم هذه الطريقة لمعرفة قوة العدسات السفير
+
+31
+00:02:32,270 --> 00:02:37,190
+والسلندر وليه ماعرف .. وليه يجب تحديد .. وليه
+
+32
+00:02:37,190 --> 00:02:40,930
+ماعرفت حركة العدسات انه يجب رسم ال optical cross
+
+33
+00:02:40,930 --> 00:02:45,250
+لمعرفة هل هي العدسات سفيرة او سلندرإذا كانت كل
+
+34
+00:02:45,250 --> 00:02:48,450
+خواص العدسة متساوية في .. إذا كانت كل خواص العدسة
+
+35
+00:02:48,450 --> 00:02:52,490
+متساوية في كل المحاور بتكون العدسة سفير أما إن عند
+
+36
+00:02:52,490 --> 00:02:55,430
+تحريك up و down و كانت تختلف عن ال right و ال left
+
+37
+00:02:55,430 --> 00:02:59,610
+بتكون العدسة cylinder it used to measure the front
+
+38
+00:02:59,610 --> 00:03:04,470
+vertex power of the lenses تستخدم لقياس قوة السطح
+
+39
+00:03:04,470 --> 00:03:05,670
+الأمامي للعدسات
+
+40
+00:03:08,410 --> 00:03:10,990
+view a large distance across target through the
+
+41
+00:03:10,990 --> 00:03:14,530
+lenses move lens vertically and observe motion of
+
+42
+00:03:14,530 --> 00:03:17,830
+horizontal line move lens horizontally and observe
+
+43
+00:03:17,830 --> 00:03:22,990
+motion of vertical line و للتركيز على target معين
+
+44
+00:03:22,990 --> 00:03:29,210
+إنه عنده فحص المحور الأفقي أو العمودي إنه عنده فحص
+
+45
+00:03:29,210 --> 00:03:32,890
+المحور ال vertically إنه حرك العدسة right و left و
+
+46
+00:03:32,890 --> 00:03:39,050
+عنده فحص ال horizontal إنه حرك العدسة up و downFor
+
+47
+00:03:39,050 --> 00:03:42,750
+a plus or minus lens, a linear motion is used to
+
+48
+00:03:42,750 --> 00:03:46,310
+neutralize power. If observe against motion, we
+
+49
+00:03:46,310 --> 00:03:50,110
+use plus lens. If observe with motion, we use
+
+50
+00:03:50,110 --> 00:03:54,410
+minus lens. ففي العدسة ال minus lens بتكون الحركة
+
+51
+00:03:54,410 --> 00:03:59,860
+with movementأما كما أخدنا في مادة الـ ophthalmic
+
+52
+00:03:59,860 --> 00:04:03,660
+العدسات هي عبارة عن مجموعة من البرزمات ففي حالة ال
+
+53
+00:04:03,660 --> 00:04:08,780
+minus lens بتكون بتعتبر العدسة apex to apex و عند
+
+54
+00:04:08,780 --> 00:04:15,320
+تحريك العدسة بتكون target بيتحرك with movement أما
+
+55
+00:04:15,320 --> 00:04:19,120
+في حالة ال plus lens بتكون الحركة against movement
+
+56
+00:04:19,120 --> 00:04:21,160
+لأنها تعتبر base to base
+
+57
+00:04:24,950 --> 00:04:30,010
+هيو أول حاجة بنرسم cross target وفي حالة ال minus
+
+58
+00:04:30,010 --> 00:04:34,290
+lens بتكون الحركة with movement وفي حالة ال plus
+
+59
+00:04:34,290 --> 00:04:39,010
+lens بتكون الحركة against example an unknown lens
+
+60
+00:04:39,010 --> 00:04:41,830
+is neutralized in the horizontal meridian with
+
+61
+00:04:41,830 --> 00:04:46,340
+plus 3 and the vertical meridian with plus 2عنا
+
+62
+00:04:46,340 --> 00:04:50,260
+عدسة مجهورة القوة عدلنا .. عدلنا .. عدلنا المحور
+
+63
+00:04:50,260 --> 00:04:54,520
+ال horizontal طلع plus 3 و ال vertical meridian
+
+64
+00:04:54,520 --> 00:05:01,640
+plus 2 كتبنا .. رسلنا cross .. cross target بنخفض
+
+65
+00:05:01,640 --> 00:05:04,520
+أول حاجة ال .. ال more plus ال plus تلت .. ال more
+
+66
+00:05:04,520 --> 00:05:09,200
+plus plus 3 و بنطرح ال .. لصغير من الكبير plus 2
+
+67
+00:05:09,200 --> 00:05:12,440
+minus plus 3 plus 1 و بنخفض أكثر من 100
+
+68
+00:05:17,820 --> 00:05:21,120
+معاكم فاطمة عزام اللي بحنتكلم عن الطريقة التانية
+
+69
+00:05:21,120 --> 00:05:24,740
+لقياس قوة العفسة وهي geneva clock geneva clock
+
+70
+00:05:24,740 --> 00:05:29,740
+بيتكون من three pins it has two fixed pins and
+
+71
+00:05:29,740 --> 00:05:33,640
+movable pin in center بتكون من ثلاث pins او ساج
+
+72
+00:05:33,640 --> 00:05:37,580
+الاتنين اللي على الأطراف تبتين واللي بالنص متحبك
+
+73
+00:05:37,580 --> 00:05:40,620
+when it blasts وإن كانت ثابت the central pin moves
+
+74
+00:05:40,620 --> 00:05:49,460
+or protrudeout wall لما نضعها على عدسة او على تحدى
+
+75
+00:05:49,460 --> 00:05:53,640
+اللى فى ال center راح يدخل لجوا the central pin
+
+76
+00:05:53,640 --> 00:05:56,460
+indicate the side of the surface which provide the
+
+77
+00:05:56,460 --> 00:06:00,600
+direct reading of refractive power هذا ال pin اللى
+
+78
+00:06:00,600 --> 00:06:04,340
+فى ال center هو اللى بيحددنا ال refractive power
+
+79
+00:06:04,340 --> 00:06:05,060
+للعدسة
+
+80
+00:06:07,500 --> 00:06:11,720
+استخدامات الـ Sagital Depth بتستخدم لقياس سماكة
+
+81
+00:06:11,720 --> 00:06:15,640
+العدسة وقوة العدسة وready secure feature قطر
+
+82
+00:06:15,640 --> 00:06:20,180
+التحدث لما نجي نفحص العدسات للسفير hold the lens
+
+83
+00:06:20,180 --> 00:06:23,740
+measure set that the central contact point on the
+
+84
+00:06:23,740 --> 00:06:26,180
+lens clock is at the optical center and the lens
+
+85
+00:06:26,180 --> 00:06:29,400
+clock is perpendicular to the lens بنضع العدسة
+
+86
+00:06:29,400 --> 00:06:34,560
+بنضع ال Geneva clock في مركز العدسة وبيكون عمودي
+
+87
+00:06:34,560 --> 00:06:39,610
+عليهاwhen we rotate the clock we will not see any
+
+88
+00:06:39,610 --> 00:06:44,030
+change in value لما نحرك الجينيفا clock مارح نلاحظ
+
+89
+00:06:44,030 --> 00:06:47,010
+اي تغير في المؤشر because the power is equal in
+
+90
+00:06:47,010 --> 00:06:53,070
+all meridian أما في العدسات السيلندر نضع الجينيفا
+
+91
+00:06:53,070 --> 00:06:58,440
+clock في مركز العدسةLens clock is rotated at the
+
+92
+00:06:58,440 --> 00:07:01,320
+point with all three contact points against the
+
+93
+00:07:01,320 --> 00:07:05,600
+lens نحرك جينيفا clock and we will see changing in
+
+94
+00:07:05,600 --> 00:07:08,900
+value because the surface has two curves the value
+
+95
+00:07:08,900 --> 00:07:13,240
+of these curves indicates when the clock shows its
+
+96
+00:07:13,240 --> 00:07:17,900
+maximum and minimum value لما نحرك جينيفا على
+
+97
+00:07:17,900 --> 00:07:26,160
+العدسة رح نبحث تغير في المؤشر عشانمش متساوي القوة
+
+98
+00:07:26,160 --> 00:07:30,560
+البصري .. القوة في عدسات المحاول مش متساوية أعملها
+
+99
+00:07:30,560 --> 00:07:36,200
+العدسة هذا نضعها
+
+100
+00:07:36,200 --> 00:07:44,840
+في المركز نلفها
+
+101
+00:07:58,370 --> 00:08:08,230
+نرسل ال cross target ال front service plus
+
+102
+00:08:08,230 --> 00:08:09,850
+.. plus أربعة
+
+103
+00:08:26,840 --> 00:08:54,620
+مافيش تغيير كلها ساعة أربعة بس ال back
+
+104
+00:08:54,620 --> 00:09:09,450
+serviceتسعة أبقى عند خمسة وسبعين معي نص سبعة
+
+105
+00:09:09,450 --> 00:09:18,230
+أبقى عند خمسة سبعة أبقى عند خمسة وسبعين نجمعهم
+
+106
+00:09:18,230 --> 00:09:22,850
+فمنا
+
+107
+00:09:22,850 --> 00:09:23,450
+ساعة بقى
+
+108
+00:09:26,440 --> 00:09:31,960
+سنة و خمس سنة و خمس سنة و خمس سنة و خمس سنة و خمس
+
+109
+00:09:31,960 --> 00:09:35,060
+سنة و خمس سنة و خمس سنة و خمس سنة و خمس سنة و خمس
+
+110
+00:09:35,060 --> 00:09:45,100
+سنة و خمس
+
+111
+00:09:45,100 --> 00:09:46,240
+سنة
+
+112
+00:10:09,610 --> 00:10:17,370
+الان سوف نتكلم عن ثلاثة كينيكال ثالث كينيكال، اتو
+
+113
+00:10:17,370 --> 00:10:22,970
+مجرمات الهوار لينزس بلينزميتر نوع اللينزميتر
+
+114
+00:10:25,120 --> 00:10:28,940
+automatic, manual, ال manual أدق من ال automatic,
+
+115
+00:10:29,480 --> 00:10:32,280
+طبعا ال manual إيه له نوعين ال dot و ال cross,
+
+116
+00:10:33,120 --> 00:10:37,260
+other names of lensmeter, photometer and
+
+117
+00:10:37,260 --> 00:10:38,440
+ferrometer
+
+118
+00:10:41,750 --> 00:10:46,570
+uses of lensmeter استخدامات ال lensmeter نستخدمه
+
+119
+00:10:46,570 --> 00:10:50,190
+في single vision lenses و ال bifocal lenses و ال
+
+120
+00:10:50,190 --> 00:10:55,110
+trifocal lenses و ال progressive addition lenses
+
+121
+00:10:55,110 --> 00:11:01,150
+to determine that sphere and cylinder power مارك
+
+122
+00:11:01,150 --> 00:11:05,190
+ده optical center contact lenses power and power
+
+123
+00:11:05,190 --> 00:11:12,160
+of a prismعنا component of a prism أول حاجة ال IBS
+
+124
+00:11:12,160 --> 00:11:16,200
+ال IBS طبعا بختلف من شخص لآخر حسب refractive error
+
+125
+00:11:16,200 --> 00:11:20,680
+عنا ال prism combination device طبعا هدا .. هدا
+
+126
+00:11:20,680 --> 00:11:27,520
+بتعوض ال prismعنا ال lens spotting device هذه
+
+127
+00:11:27,520 --> 00:11:32,840
+تستخدم لتعليم العدسة في ال marking ال lens holder
+
+128
+00:11:32,840 --> 00:11:37,760
+بنستخدمها لتثبيت العدسة و ال axis wheel لتحديد ال
+
+129
+00:11:37,760 --> 00:11:42,100
+axis و ال power wheel لتحديد القوة عنا هنا lens
+
+130
+00:11:42,100 --> 00:11:50,540
+meterعنا ال IBS عنا ال access wheel طبعا ال access
+
+131
+00:11:50,540 --> 00:11:53,400
+wheel بيكون فى ال uncut lenses بيكون ثابت أما فى
+
+132
+00:11:53,400 --> 00:11:56,460
+النضارات بيكون مختلف حسب ال left و ال right عنا ال
+
+133
+00:11:56,460 --> 00:12:00,340
+power wheel اللى هو بنحدد فيها power العدسة طبعا
+
+134
+00:12:00,340 --> 00:12:04,940
+سواء sphere أو سيلندر عنا ال spotting devices اللى
+
+135
+00:12:04,940 --> 00:12:09,160
+هى تستخدم فى ال marking اللى بتعلم العدسة يبقى ال
+
+136
+00:12:09,160 --> 00:12:13,840
+goal ده؟اه و هذا تثبيت العدسة طبعا إيه ماتتحركتها
+
+137
+00:12:13,840 --> 00:12:19,800
+حسب العدسة اللي خدتها؟عنا زى ما بنعرف طبعا ال ..
+
+138
+00:12:19,800 --> 00:12:23,580
+الأشعة بتيجي من ال infinity بتكون parallel أول ما
+
+139
+00:12:23,580 --> 00:12:28,760
+تصادف ال .. ال .. الأشعة سواء صادفت .. بتيجي من ال
+
+140
+00:12:28,760 --> 00:12:31,160
+parallel من ال infinity بتكون parallel سواء صادفت
+
+141
+00:12:31,160 --> 00:12:34,420
+minus أو ال plus lenses هتتجمع في ال focal point
+
+142
+00:12:34,420 --> 00:12:37,340
+عنا في ال plus lenses طبعا أجدت الأشعة من ال
+
+143
+00:12:37,340 --> 00:12:41,180
+infinity parallel هتتجمع behind ال lenses في ال ..
+
+144
+00:12:41,180 --> 00:12:44,420
+حيسرينها ال conversions هتتجمع في ال focal point
+
+145
+00:12:44,420 --> 00:12:48,670
+behind the lensesأما في ال .. في ال minus lenses
+
+146
+00:12:48,670 --> 00:12:53,490
+هتيجي الأشياء على parallel هتصادف ال .. ال minus
+
+147
+00:12:53,490 --> 00:12:57,930
+lenses هي .. هيكون divergent array لكن في منطقة
+
+148
+00:12:57,930 --> 00:13:02,130
+معينة أو فترة معينة لازم يصيرلها convergent في ال
+
+149
+00:13:02,130 --> 00:13:04,110
+focal point front lenses
+
+150
+00:13:08,200 --> 00:13:12,040
+عنا هذا طبعا ال optical system of lens meter ال
+
+151
+00:13:12,040 --> 00:13:17,560
+symbol عنا ال eye of the observer عنا ال eye beast
+
+152
+00:13:17,560 --> 00:13:22,220
+اللي طبعا بختلف من شخص لآخر و بتتم ضبطه عبر ال
+
+153
+00:13:22,220 --> 00:13:26,260
+graphical عنا ال objective lenses عنا الأشياء أكيد
+
+154
+00:13:26,260 --> 00:13:32,580
+parallel ال standard lenses و ال light source و ال
+
+155
+00:13:32,580 --> 00:13:35,950
+targetوعندنا ال scale اللي هو باقتمد حسب قوة
+
+156
+00:13:35,950 --> 00:13:39,310
+العدسة بيكون minus أو plus مثلا إذا كانت العدسة
+
+157
+00:13:39,310 --> 00:13:43,110
+minus لو اتحركنا نحو ال plus هتصير الصورة more
+
+158
+00:13:43,110 --> 00:13:45,970
+faint لكن إذا اتحركنا نحو الباق ال minus هتصير
+
+159
+00:13:45,970 --> 00:13:50,350
+more clear حتى نصل للأوضع الصورة ديين ال scale؟
+
+160
+00:13:50,350 --> 00:13:57,190
+طبعا هنا بنشوف من ال eye piece بنشوف parallel لإن
+
+161
+00:13:57,190 --> 00:14:00,010
+بيكون ال target موضوع على ال nodal point للعدسة
+
+162
+00:14:05,000 --> 00:14:08,940
+problem of simple lensmeter، في عندنا مشاكل ل
+
+163
+00:14:08,940 --> 00:14:12,180
+simple lensmeter، the first is that the instrument
+
+164
+00:14:12,180 --> 00:14:16,920
+would have to be too large to be practical، أول
+
+165
+00:14:16,920 --> 00:14:20,540
+مشكلة أنه بيكون الجهاز كتير طويل، يعني مثلا لو كان
+
+166
+00:14:20,540 --> 00:14:25,420
+عندنا عدسة minus ربع .. يعني ربع، بتحتاج جهاز طوله
+
+167
+00:14:25,420 --> 00:14:29,070
+أربعة متر، طبعا هذا .. هذا إشي مش معقول يعنيThe
+
+168
+00:14:29,070 --> 00:14:31,750
+second is that the scale for measuring Venice's
+
+169
+00:14:31,750 --> 00:14:36,270
+power would be non-linear، يكون ال scale ترتيبه
+
+170
+00:14:36,270 --> 00:14:40,090
+غير منتظم، يعني فيه فروقات بين كل power و التانية
+
+171
+00:14:41,670 --> 00:14:44,810
+introducing another lenses into a simplified lens
+
+172
+00:14:44,810 --> 00:14:49,270
+meter طبعا انه بما انه مش معقول ان يكون جهاز الى
+
+173
+00:14:49,270 --> 00:14:53,450
+عدسة ربع يكونيلها جهاز طوله 4 متر فكان الحل انه
+
+174
+00:14:53,450 --> 00:14:57,270
+بوضع standard lenses ال standard lenses عملت
+
+175
+00:14:57,270 --> 00:15:00,930
+shorting of length of instrument قسرت الجهاز و
+
+176
+00:15:00,930 --> 00:15:04,310
+make the depth still linear عملت linear منتظم و
+
+177
+00:15:04,310 --> 00:15:10,420
+بوارط منتظمThe relationship of the target movement
+
+178
+00:15:10,420 --> 00:15:14,320
+to power of unknown lenses فى علاقة بين ال target
+
+179
+00:15:14,320 --> 00:15:18,200
+movement و ال power لل unknown lenses الغير معروفة
+
+180
+00:15:18,200 --> 00:15:24,260
+عبر العلاقة X متساوية F U في الف على F S تربية ال
+
+181
+00:15:24,260 --> 00:15:28,660
+X هى طبعا ال target movement و ال F U اللى هى ال
+
+182
+00:15:28,660 --> 00:15:31,400
+power of unknown lenses و ال F S اللى هى ال
+
+183
+00:15:31,400 --> 00:15:35,660
+standard lensesعنا example for a standard lenses
+
+184
+00:15:35,660 --> 00:15:38,760
+plus twenty diopter, calculate the target movement
+
+185
+00:15:38,760 --> 00:15:44,040
+range in millimeter to cover minus twenty to plus
+
+186
+00:15:44,040 --> 00:15:52,820
+twenty diopter عنا المعطيات وعنا
+
+187
+00:15:52,820 --> 00:15:53,920
+المجمول X
+
+188
+00:16:03,570 --> 00:16:12,170
+X هنبدأ أول حاجة بـ X كتساوية أهلا
+
+189
+00:16:12,170 --> 00:16:13,770
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+190
+00:16:13,770 --> 00:16:15,110
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+191
+00:16:15,110 --> 00:16:15,410
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+192
+00:16:15,410 --> 00:16:15,430
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+193
+00:16:15,430 --> 00:16:15,470
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+194
+00:16:15,470 --> 00:16:15,470
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+195
+00:16:15,470 --> 00:16:27,530
+أهلا أهلا أهلا أهلا أهلا أهلا أهلا
+
+196
+00:16:27,530 --> 00:16:35,240
+أand then انا انا
+
+197
+00:16:35,240 --> 00:16:43,460
+plus twenty تقرير بتساوي
+
+198
+00:16:43,460 --> 00:16:54,260
+تبسين minus تبسين minus تبسين x بتساوي
+
+199
+00:16:54,260 --> 00:16:58,140
+ولا ال plus twenty دلتر
+
+200
+00:17:00,890 --> 00:17:10,150
+Plus two meter في ألف على plus two meters تقريبا
+
+201
+00:17:10,150 --> 00:17:17,370
+بساوية plus 52 millimeter اما ال X انها حاصل
+
+202
+00:17:17,370 --> 00:17:23,450
+مجموعة فهم ده جمع قدام و بطلع 100 millimeter
+
+203
+00:17:40,040 --> 00:17:44,960
+السلام عليكم ورحمة الله وبركاتهفي عندنا قاعدة مهمة
+
+204
+00:17:44,960 --> 00:17:47,260
+بتحكي ان الـ different unknown lenses power and
+
+205
+00:17:47,260 --> 00:17:49,840
+the distance between the unknown lenses and the
+
+206
+00:17:49,840 --> 00:17:53,140
+standard lens will change both the target image
+
+207
+00:17:53,140 --> 00:17:57,800
+size and location ان الاختلاف ال unknown lenses
+
+208
+00:17:57,800 --> 00:18:01,800
+power والاختلاف .. المسافة بين ال unknown lenses و
+
+209
+00:18:01,800 --> 00:18:07,300
+ال standard lens هيقدر تغيير ال target image سواء
+
+210
+00:18:07,300 --> 00:18:12,180
+بال size أو بال locationهو الـ Continuous Lapse
+
+211
+00:18:12,180 --> 00:18:17,580
+مرحبا أول ما بيشي أنا اسمي سرقة نفسان راح أتحدث عن
+
+212
+00:18:17,580 --> 00:18:20,520
+ال Knapp's law بس قبل هك .. قبل ما بدي أحكي عنه
+
+213
+00:18:20,520 --> 00:18:25,560
+حكت زميلتنا أفنان أنه أحنا حاطينا لبلاس 20 ال
+
+214
+00:18:25,560 --> 00:18:29,240
+standard lens يعني عشان أنه أحنا بنعمل ال .. ال ..
+
+215
+00:18:29,240 --> 00:18:33,060
+لللنزة ال traditional lensmeter أنه يعمل short و
+
+216
+00:18:33,060 --> 00:18:37,440
+يسير ال skill linearبس انه احنا سؤالنا اللي
+
+217
+00:18:37,440 --> 00:18:40,520
+ماسألناهاش انه ليش انه ال target صح انه حاطينا
+
+218
+00:18:40,520 --> 00:18:43,360
+احنا high plus power بس انه ال target ماكبرش وضبط
+
+219
+00:18:43,360 --> 00:18:46,660
+نفس ال .. يعني نفس ال size مع أنها انها كبيرة يعني
+
+220
+00:18:46,660 --> 00:18:50,780
+plus 20 لما plus 25 ده يبتر فتفسيرها ده نوكنابس
+
+221
+00:18:50,780 --> 00:18:54,400
+لاو نوكنابس لاو بيحكيله ان ال image ال image size
+
+222
+00:18:54,400 --> 00:18:58,480
+target does not change if the posterior nodal
+
+223
+00:18:58,480 --> 00:19:01,460
+point of the second lens coincide with the
+
+224
+00:19:01,460 --> 00:19:03,900
+anterior focal point لل original lens
+
+225
+00:19:08,510 --> 00:19:14,790
+النرسمالية مثلا هي ال Imon هي فوق ال anterior
+
+226
+00:19:14,790 --> 00:19:20,470
+focal point وهي ال posterior focal point فهنا هم
+
+227
+00:19:20,470 --> 00:19:25,310
+حطوا ال standard lens اللي هي plus 20 أو plus 25
+
+228
+00:19:25,310 --> 00:19:30,050
+ديبتر فإذا ما حطوا هاي و سروا و قلوها ان ال
+
+229
+00:19:30,050 --> 00:19:33,210
+posterior nodal point لإلها coincide يعني تتطبق مع
+
+230
+00:19:33,210 --> 00:19:37,960
+ال anterior focal point لهاالـ arterial focal
+
+231
+00:19:37,960 --> 00:19:41,940
+point للـ unknown lens فعمل short لل .. short لل
+
+232
+00:19:41,940 --> 00:19:46,060
+lensmeter وعمل ال scale linear هذا المبدأ هو عمل
+
+233
+00:19:46,060 --> 00:19:49,860
+ال lensmeter بس انه when applied to a lensmeter
+
+234
+00:19:49,860 --> 00:19:53,600
+when applied to a lensmeter Knapp's law called بدل
+
+235
+00:19:53,600 --> 00:19:57,000
+ال principle لإن احنا يعني لما نحكي على مبدأ ال
+
+236
+00:19:57,000 --> 00:20:00,560
+lensmeter ما بنستخدم انه Knapp's law بس نحكي بدل
+
+237
+00:20:00,560 --> 00:20:04,220
+ال principle أستراليومان كان ال telescope هذا ال
+
+238
+00:20:04,220 --> 00:20:08,360
+telescope الفضائيبالنسبة لـ ANE OBJECTIVE و IB
+
+239
+00:20:08,360 --> 00:20:12,620
+7010 OBJECTIVE و IB SEVERA و Plus Lenses بيعطونا
+
+240
+00:20:12,620 --> 00:20:17,640
+Magnified Virtual Image انه يتحسن لكي يكون مركزي
+
+241
+00:20:17,640 --> 00:20:23,460
+على الانفينيتي و لذلك فقط برهر الليت سيكون مراهق
+
+242
+00:20:23,460 --> 00:20:27,460
+في الركز انه احنا بنعمله adjust بنخليه انه ..
+
+243
+00:20:27,460 --> 00:20:30,660
+بنعمله adjust على الانفينيتي عشان يعطينا برهر ال
+
+244
+00:20:30,660 --> 00:20:32,640
+light region ال center اللي احنا نشوفه
+
+245
+00:20:35,430 --> 00:20:40,210
+هلأ steps to neutralize steptalic lens in manual
+
+246
+00:20:40,210 --> 00:20:44,670
+lensmeter اللي هو هذا طبعا اول طريقة ان احنا لازم
+
+247
+00:20:44,670 --> 00:20:48,790
+نعمل ال IBS should be focused manually اول اشهر ان
+
+248
+00:20:48,790 --> 00:20:52,410
+احنا بنعمل ال IBS اللي هي high بنحطها لاخر اشهر
+
+249
+00:20:52,410 --> 00:20:56,800
+يسار اكتر اشهر و لما يوضحينا بنسير الحركةطبعا ليش
+
+250
+00:20:56,800 --> 00:21:00,580
+ال IBS او ال issue انه بتعملنا ال approximate ..
+
+251
+00:21:00,580 --> 00:21:03,800
+approximate او ال amplitude لل accommodation تاني
+
+252
+00:21:03,800 --> 00:21:07,700
+issue refractive error لانه تاني issue ال power
+
+253
+00:21:07,700 --> 00:21:12,240
+weight should be level .. should be level 0 لازم
+
+254
+00:21:12,240 --> 00:21:14,780
+نحط ال power weight .. ال power weight على 0 و ال
+
+255
+00:21:14,780 --> 00:21:18,800
+axis weight على 0 كمان plus the spectral length of
+
+256
+00:21:18,800 --> 00:21:22,360
+the device toward the I .. IBS
+
+257
+00:21:38,070 --> 00:21:41,690
+هلأ المصدر انه زي ما احنا لابسينه هنحط هيه يعني
+
+258
+00:21:41,690 --> 00:21:44,710
+احنا لابسينها هيك هنحطها هيك
+
+259
+00:21:59,180 --> 00:22:02,480
+هك يعني انه هيكون ال front surface ليلها باتجاه ال
+
+260
+00:22:02,480 --> 00:22:07,440
+IBS و هنعمل لها measurement هاد الصورة مش واضحه
+
+261
+00:22:07,440 --> 00:22:11,920
+كتير بس انه قبل ما تعمل ال IBS هتكون ال blood ال
+
+262
+00:22:11,920 --> 00:22:15,300
+protector المنطقة في جوا ال lensmeter فيانا
+
+263
+00:22:15,300 --> 00:22:18,340
+protector لازم .. هتكون شوية مخفشة بس لما نعملها
+
+264
+00:22:18,340 --> 00:22:22,380
+هيصير focus هلا
+
+265
+00:22:22,380 --> 00:22:24,760
+ال target ال target اللي راح نشوفه جوا ال
+
+266
+00:22:24,760 --> 00:22:29,240
+lensmeterto measure the sphere lens هلأ هنبدأ
+
+267
+00:22:29,240 --> 00:22:32,380
+بالاسفير طبعا الاسفير مالهاش access لإنها has the
+
+268
+00:22:32,380 --> 00:22:35,640
+same power in all meridian move the lens such that
+
+269
+00:22:35,640 --> 00:22:40,280
+the target is exactly at the center rotate the
+
+270
+00:22:40,280 --> 00:22:44,200
+power wheel until target is clear and sharp stop
+
+271
+00:22:44,200 --> 00:22:48,140
+rotating power wheel when target is sharp إنه إذا
+
+272
+00:22:48,140 --> 00:22:55,090
+إحنامثلا يعني lens هذه sphere بس يعني انها تبقى
+
+273
+00:22:55,090 --> 00:23:00,630
+سلندر بس هنكترها sphere انه اول اش هنحط ال lens
+
+274
+00:23:00,630 --> 00:23:04,850
+بعدين طبعا احنا عاملين انه ال I-base هنخليه نوعي
+
+275
+00:23:04,850 --> 00:23:08,750
+ات لما نشوف قبل ما نحط العدسة و ال power wheel و
+
+276
+00:23:08,750 --> 00:23:11,410
+ال power wheel ع ال zero و ال axis wheel ع ال zero
+
+277
+00:23:11,410 --> 00:23:14,570
+بس بعدين بنحطها و بنسير الحركة بال power wheel
+
+278
+00:23:14,570 --> 00:23:19,530
+بيبقى انها sphere مش هنحتاج ال axis لما يظهر هناو
+
+279
+00:23:19,530 --> 00:23:23,730
+طبعا فى عندنا dot و cross ال dot هيك هيكون شكله فى
+
+280
+00:23:23,730 --> 00:23:27,810
+الاسفل انه عبارة عن دائرة نقاط اما ال cross اللى
+
+281
+00:23:27,810 --> 00:23:30,750
+فى عندنا خطان خطا و خط قصير و الاثنان هيكون واضحين
+
+282
+00:23:30,750 --> 00:23:36,490
+فى الاسفل بينما to measure a cylindrical lens move
+
+283
+00:23:36,490 --> 00:23:40,370
+the lens such that the target is exactly at the
+
+284
+00:23:40,370 --> 00:23:43,170
+center rotate the power wheel and the axis wheel
+
+285
+00:23:43,170 --> 00:23:48,550
+until the target is clear and sharpthen rotate the
+
+286
+00:23:48,550 --> 00:23:52,230
+power wheel to get the center medium that align
+
+287
+00:23:52,230 --> 00:23:55,390
+the maximum and minimum طبعا ال cylinder فيها
+
+288
+00:23:55,390 --> 00:24:00,090
+cylindrical lenses فيها عندنا axis فأول ما نعمل ال
+
+289
+00:24:00,090 --> 00:24:03,210
+power wheel هنعمل برضه ال axis و لما نقول أول شي
+
+290
+00:24:03,210 --> 00:24:07,510
+sharp vision او sharp view او sharp image راح
+
+291
+00:24:07,510 --> 00:24:11,070
+نسجلها بعدين مش هنحرك ال axis هنحرك ال power بس
+
+292
+00:24:11,070 --> 00:24:15,770
+لما نلاقي يعني التنتين maximum و minimum powerفي
+
+293
+00:24:15,770 --> 00:24:19,310
+ال dot هيك فيه أن ال target بيكون تقريبا زي ثمانه
+
+294
+00:24:19,310 --> 00:24:26,130
+ولكن في ال cross في ال cross زي high بس لو واحد
+
+295
+00:24:26,130 --> 00:24:34,430
+هيكون بمق والتاني هنفتح أو العكس يعني example the
+
+296
+00:24:34,430 --> 00:24:38,790
+lensmeter power will extend into the high plus the
+
+297
+00:24:38,790 --> 00:24:43,190
+power will extendis then turned back slowly
+
+298
+00:24:43,190 --> 00:24:47,610
+reducing plus power until the sphere lines the
+
+299
+00:24:47,610 --> 00:24:53,530
+power and we will now read plus 2 يعني أنا بالسفير
+
+300
+00:24:53,530 --> 00:25:01,770
+هي أنا بالسفير و على read 12 أما ال power يعني
+
+301
+00:25:01,770 --> 00:25:08,230
+نرسمها هي
+
+302
+00:25:08,230 --> 00:25:15,140
+أنا plus 2الأساس 12 وعندنا كمان حركة دجال تاني
+
+303
+00:25:15,140 --> 00:25:16,580
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+304
+00:25:16,580 --> 00:25:16,780
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+305
+00:25:16,780 --> 00:25:18,440
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+306
+00:25:18,440 --> 00:25:18,500
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+307
+00:25:18,500 --> 00:25:19,100
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+308
+00:25:19,100 --> 00:25:19,100
+حركة تاني حركة تاني حركة تاني حركة تاني حركة تاني
+
+309
+00:25:19,100 --> 00:25:28,580
+حركة تاني حركة تاني حركة
+
+310
+00:25:28,580 --> 00:25:34,680
+تاني حركة
+
+311
+00:25:34,680 --> 00:25:34,680
+تان
+
+312
+00:26:00,830 --> 00:26:05,410
+بداية السلام عليكم العافية على مقادرة ضيبة بس انا
+
+313
+00:26:05,410 --> 00:26:11,450
+في كان عندى يعني اتضافة بسيطة انهبعد ما انتهيتوا
+
+314
+00:26:11,450 --> 00:26:15,050
+من عرض ال presentation لو عملتوا هيك
+
+315
+00:26:15,050 --> 00:26:18,650
+classification من داحية ال advantages و ال
+
+316
+00:26:18,650 --> 00:26:22,890
+disadvantages لل three methods ال neutralization
+
+317
+00:26:22,890 --> 00:26:28,390
+تمام و الجريمة club و بالاضافة لل lens meter من
+
+318
+00:26:28,390 --> 00:26:32,410
+حيث مين الأقوى مين الأضعف مين مثلا اللي ممكن انا
+
+319
+00:26:32,410 --> 00:26:37,930
+احصل عليه by manually مين ممكن احصل عليه by
+
+320
+00:26:37,930 --> 00:26:42,570
+automatic تماممين ال accurate result؟ مين ال
+
+321
+00:26:42,570 --> 00:26:47,430
+inaccurate result؟ في الأخرين، تمام الشغل التاني
+
+322
+00:26:47,430 --> 00:26:56,670
+أنه أعتقد أثنان يعني ما حسبتي اللي هو في البدل أو
+
+323
+00:26:56,670 --> 00:27:00,490
+ال إقناع اللي هو؟
+
+324
+00:27:00,490 --> 00:27:05,310
+ماعرف، مين فيكم كان ال إقناع اللي هو؟ أو البدل ال
+
+325
+00:27:05,310 --> 00:27:10,380
+principle؟ طيب، الآن الفكرة مرة تانيةال standard
+
+326
+00:27:10,380 --> 00:27:15,680
+lens ال anterior ولا ال posterior focal point هو
+
+327
+00:27:15,680 --> 00:27:22,640
+اللى بيكون concise لل spectacle lens او لل uncut
+
+328
+00:27:22,640 --> 00:27:27,580
+lens بستيريو بستيريو اعتقد هي سقطت معاك في الكلام
+
+329
+00:27:27,580 --> 00:27:33,570
+ان ال posterior ال posterior nodal pointمش هيقلتهم
+
+330
+00:27:33,570 --> 00:27:36,590
+صغير انهم يبقون coincide مع الأدنى from point to
+
+331
+00:27:36,590 --> 00:27:42,990
+point الخاصة فيه اللي هو ال spectacle length تمام،
+
+332
+00:27:42,990 --> 00:27:48,230
+في اي سؤال يا جماعة؟ يعطيكم العافية مرة تانية
+
+333
+00:27:48,230 --> 00:27:51,970
+موظفي ان شاء الله طبعا بنشكر الطالبات على هذه
+
+334
+00:27:51,970 --> 00:27:57,370
+المحاضرة القيمة و ان شاء الله بنكمل يوم التنين في
+
+335
+00:27:57,370 --> 00:28:01,190
+محاضرة او محاضرتين ان شاء الله يعطيكم العافية
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag.srt
new file mode 100644
index 0000000000000000000000000000000000000000..a8b780a114c55fae5d93eff5757798db4af5a6c9
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag.srt
@@ -0,0 +1,1265 @@
+1
+00:00:20,820 --> 00:00:23,600
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,600 --> 00:00:27,880
+وبركاته and a very good morning to all of you
+
+3
+00:00:27,880 --> 00:00:34,160
+سنكمل إن شاء الله اليوم موضوع الـ intra pupillary
+
+4
+00:00:34,160 --> 00:00:42,200
+distance أو IBD. في المحاضرات السابقة أخذنا how to
+
+5
+00:00:42,200 --> 00:00:50,540
+measure IBD. اليوم سنأخذ monocular IBDA procedure
+
+6
+00:00:50,540 --> 00:00:56,540
+for measuring monocular BD using the frame. إذا
+
+7
+00:00:56,540 --> 00:01:03,100
+نقيس قيمة الـ IBD لكن سيكون  اللي هو monocular
+
+8
+00:01:03,100 --> 00:01:08,560
+باستخدام الـ frame.
+
+9
+00:01:08,560 --> 00:01:16,500
+error inherent، أي بمعنى essential، أساسي. In using a
+
+10
+00:01:16,500 --> 00:01:22,280
+ruler alone, appears when a person has an
+
+11
+00:01:22,280 --> 00:01:29,240
+asymmetrical nose. إذا واحدة من المشاكل الرئيسية أو
+
+12
+00:01:29,240 --> 00:01:35,340
+المشاكل الأساسية في قياس قيمة الـ IBD،  أتحدث هنا أنا عن
+
+13
+00:01:35,340 --> 00:01:41,880
+binocular. تمام، لو كان الشخص عنده عدم تماثل في اللي
+
+14
+00:01:41,880 --> 00:01:47,500
+هو الـ nose، أو بمعنى آخر أنه  عنده منطقة في الـ
+
+15
+00:01:47,500 --> 00:01:51,880
+nose مكسورة ومنطقة اللي هو سليمة، فسيكون عنده
+
+16
+00:01:51,880 --> 00:01:56,900
+asymmetrical nose. An
+
+17
+00:01:56,900 --> 00:02:03,420
+asymmetrical nose often occurs when a nose has
+
+18
+00:02:03,420 --> 00:02:11,360
+been broken. هذا عدم التماثل، تمام؟ غالباً ما يحدث
+
+19
+00:02:11,360 --> 00:02:17,100
+يكون عندك كسر في أحد أجزاء الأنف، سواء
+
+20
+00:02:17,100 --> 00:02:19,920
+من ناحية الـ right أو من ناحية الـ left.
+
+21
+00:02:23,860 --> 00:02:28,960
+In this case, في هذه الحالة، الـ frame positions
+
+22
+00:02:28,960 --> 00:02:33,720
+itself somewhat to the left or right.
+
+23
+00:02:39,840 --> 00:02:44,140
+في هذه الحالة سيكون الـ framework مائلاً باتجاه إما
+
+24
+00:02:44,140 --> 00:02:47,880
+اليمين السليم أو الشمال، إذا كان هو السليم، يعني
+
+25
+00:02:47,880 --> 00:02:54,280
+دائماً باتجاه الأنف السليم أو الجهة السليمة
+
+26
+00:02:54,280 --> 00:03:00,540
+في الأنف، for the lenses to be accurately placed,
+
+27
+00:03:00,540 --> 00:03:07,010
+this factor must be taken into account.  عشان أنا
+
+28
+00:03:07,010 --> 00:03:12,090
+أحصل على monocular BD يكون دقيقاً،  لازم هذه النقطة
+
+29
+00:03:12,090 --> 00:03:16,970
+أخذها بعين الاعتبار، تمام؟ يعني هذه النقطة into
+
+30
+00:03:16,970 --> 00:03:23,790
+account، أن تكون مأخوذة بعين الاعتبار، أن في عندنا عدم
+
+31
+00:03:23,790 --> 00:03:26,750
+تماثل أو asymmetrical nose.
+
+32
+00:03:32,590 --> 00:03:38,750
+It's possible to use an overhead transparency
+
+33
+00:03:38,750 --> 00:03:45,190
+marking pen. ممكن في بعض الأحيان أستخدم قلم مثل الـ
+
+34
+00:03:45,190 --> 00:03:50,890
+marker، اللي تستخدمونه، اللي يكون عبارة عن marker
+
+35
+00:03:50,890 --> 00:03:56,230
+لونه أحمر، تمام، اللي من خلاله أنا أقدر اللي هو أعلم
+
+36
+00:03:56,230 --> 00:04:02,300
+على العدسة اللي تكون شفافة، and the glass lenses.
+
+37
+00:04:02,300 --> 00:04:07,560
+يعني أضع اللي هو قيمة أو  نقطة على
+
+38
+00:04:07,560 --> 00:04:12,000
+العدسة in the sample frame، أو على الإطار.
+
+39
+00:04:15,960 --> 00:04:20,900
+طيب، في حالة if the sample frame doesn't have
+
+40
+00:04:20,900 --> 00:04:24,620
+glass lenses، الآن أنا ألبس المريض trial
+
+41
+00:04:24,620 --> 00:04:27,860
+frame اللي عندنا في المعمل أو في اللي هو الـ
+
+42
+00:04:27,860 --> 00:04:32,120
+refraction، ما فيه عدسات، صح؟ ولا لا؟ يعني ما فيه
+
+43
+00:04:32,120 --> 00:04:40,520
+اللي هو الـ glass lenses، ممكن أحط
+
+44
+00:04:40,520 --> 00:04:44,920
+عدسة في العين اليمنى وعدسة في العين اليسرى، وأحدد
+
+45
+00:04:44,920 --> 00:04:48,980
+أنا من خلالها السنتر، والسنتر، وأبدأ
+
+46
+00:04:48,980 --> 00:04:53,040
+اللي هو أقياس،  أي هو monocular BD لكل عين على حدة.
+
+47
+00:04:58,700 --> 00:05:06,060
+الإجراء لتحسين الـ BD monocular يبدأ بتحسين
+
+48
+00:05:06,060 --> 00:05:12,080
+الصورة،  زي بالضبط لما نحن نعمل refraction. أول قضية
+
+49
+00:05:12,080 --> 00:05:16,800
+ماذا؟ أعرف مقدار قيمة الـ IBD لهذا المريض،
+
+50
+00:05:16,800 --> 00:05:20,880
+وأعملها reflection على من؟ على الـ trial frame
+
+51
+00:05:20,880 --> 00:05:26,620
+الخاص في المريض. يعني مثلاً المريض عنده ستة
+
+52
+00:05:26,620 --> 00:05:31,360
+وسبعين، أذهب، أقيس monocular BD، كم ستكون
+
+53
+00:05:31,360 --> 00:05:34,440
+على الـ right مثلاً ثلاثة وثلاثين، وعلى الـ left
+
+54
+00:05:34,440 --> 00:05:40,290
+اللي هو ثلاثة وثلاثين، تمام؟ فنحن أول قضية أن في
+
+55
+00:05:40,290 --> 00:05:45,210
+عملية قياس الـ BD، لازم أعمل adjustment لمن؟ للـ
+
+56
+00:05:45,210 --> 00:05:50,170
+frame.
+
+57
+00:05:50,170 --> 00:05:56,130
+The frame should occupy the exact position it will
+
+58
+00:05:56,130 --> 00:06:01,420
+have with the lenses in place. أيضاً لازم الإطار
+
+59
+00:06:01,420 --> 00:06:07,240
+يحتل المكان المعين أو نسميه اللي هو exact
+
+60
+00:06:07,240 --> 00:06:11,820
+position، يعني الموضع الصحيح له،
+
+61
+00:06:11,820 --> 00:06:16,540
+بحيث العدسات ألا تكون للأعلى ولا للأسفل، ولا
+
+62
+00:06:16,540 --> 00:06:21,460
+مثلاً للأمام ولا للخلف، أن تكون منضبطة
+
+63
+00:06:21,460 --> 00:06:26,080
+بشكل صحيح، نسميها اللي هو optimal
+
+64
+00:06:34,910 --> 00:06:45,150
+fit for the frame، أو
+
+65
+00:06:45,150 --> 00:06:52,390
+نسميه a proper fit
+
+66
+00:06:52,390 --> 00:06:56,830
+of the frame، يعني يكون مناسب أو ملائم
+
+67
+00:06:56,830 --> 00:06:58,130
+للإطار.
+
+68
+00:07:03,460 --> 00:07:08,800
+الدسبينسر يجب أن يكون في نفس المستوى، و40 سنتيمتراً
+
+69
+00:07:08,800 --> 00:07:16,770
+بعيداً، نفس المسافة التي كانت في الـ binocular BD.
+
+70
+00:07:16,770 --> 00:07:21,610
+نفسها ستكون أين؟ في الـ monocular BD. يعني الآن أن
+
+71
+00:07:21,610 --> 00:07:24,610
+في الـ monocular BD،  ستكون المسافة ما بين الـ
+
+72
+00:07:24,610 --> 00:07:28,950
+dispenser ومن؟ والمريض، أربعين سنتيمتراً
+
+73
+00:07:28,950 --> 00:07:34,650
+عشان تتحكمي في المسطرة، تمام؟ وتخلي
+
+74
+00:07:34,650 --> 00:07:39,170
+المريض أن ينظر بشكل مناسب أو بشكل ملائم.
+
+75
+00:07:42,150 --> 00:07:46,810
+العين اليمنى يغلق
+
+76
+00:07:46,810 --> 00:07:52,330
+العين اليمنى، لكي يضع عين المسطرة بالضبط على العين
+
+77
+00:07:52,330 --> 00:07:54,150
+المقابلة لها.
+
+78
+00:08:08,110 --> 00:08:13,310
+The wearer is instructed to look at the dispenser
+
+79
+00:08:13,310 --> 00:08:19,370
+with open left eye. دائماً لازم تكون face to face
+
+80
+00:08:19,370 --> 00:08:24,570
+العلاقة ما بين المريض وما بين الفاحص، بحيث أن
+
+81
+00:08:24,570 --> 00:08:28,110
+دائماً أنت لازم ترشدي المريض أن ينظر
+
+82
+00:08:28,110 --> 00:08:28,730
+straight.
+
+83
+00:08:32,690 --> 00:08:38,530
+The dispenser uses a marking pen and marks a cross
+
+84
+00:08:38,530 --> 00:08:43,830
+over the center of the wearer's right pupil. الآن
+
+85
+00:08:43,830 --> 00:08:48,350
+مثلاً أنا استخدمت trial frame عادي أو a frame
+
+86
+00:08:48,350 --> 00:08:52,750
+فيه glasses. دائماً يجب أن يكون عندي marker لعملية
+
+87
+00:08:52,750 --> 00:08:56,590
+تعليم الـ center، تمام، من ناحية الـ right
+
+88
+00:08:56,590 --> 00:09:00,950
+ومن ناحية الـ left. هذا في حالة ماذا؟
+
+89
+00:09:06,560 --> 00:09:12,280
+Iglost lenses موجودة في داخل الإطار،
+
+90
+00:09:12,280 --> 00:09:18,060
+because
+
+91
+00:09:18,060 --> 00:09:24,840
+of the movement involved in marking pupil center.
+
+92
+00:09:35,730 --> 00:09:40,910
+الآن مثلاً أنا حددت قيمة الـ center في الـ
+
+93
+00:09:40,910 --> 00:09:44,550
+right والـ center في الـ left. الآن لماذا نحن نضع علامة بـ
+
+94
+00:09:44,550 --> 00:09:49,110
+marker؟  ممكن المريض وأنتِ تفحصينه يكون عنده
+
+95
+00:09:49,110 --> 00:09:53,110
+involuntary head movement، يعني بشكل لا إرادي، أو
+
+96
+00:09:53,110 --> 00:09:57,530
+بشكل غير مقصود، أنه يعمل
+
+97
+00:09:57,530 --> 00:10:01,850
+إزاحة للعين أو إزاحة للـ head، فأنتِ هكذا تكونين
+
+98
+00:10:01,850 --> 00:10:06,630
+ضعتِ قيمة الـ center الخاص في الـ BD.
+
+99
+00:10:06,630 --> 00:10:11,850
+فدائماً أنا أعمل تعليم بالـ marker، خوفاً من
+
+100
+00:10:11,850 --> 00:10:17,290
+أن يكون هناك unintentional head movement. It's
+
+101
+00:10:17,290 --> 00:10:21,350
+important that these markings be carefully
+
+102
+00:10:21,350 --> 00:10:26,970
+rechecked. طيب الآن مثلاً أنا فحصت الـ IBD لهذا
+
+103
+00:10:26,970 --> 00:10:32,510
+المريض، وأردت أن examiner آخر يتأكد من هذه القيمة،
+
+104
+00:10:32,510 --> 00:10:38,390
+تمام، يذهب، يفحص من الـ center للـ center، يعني
+
+105
+00:10:38,390 --> 00:10:41,150
+عملية recheck، تأكيد لهذا الأمر.
+
+106
+00:10:58,260 --> 00:11:04,300
+When the dispenser is confident the pupil centers
+
+107
+00:11:04,300 --> 00:11:12,140
+are accurately marked، يكون الفاحص عنده ثقة أن
+
+108
+00:11:12,140 --> 00:11:17,420
+الـ marker بتاعه جاء في منتصف العدسة، تمام؟ The
+
+109
+00:11:17,420 --> 00:11:22,420
+frames are removed. ممكن أعمل إزالة للـ frame، and
+
+110
+00:11:22,420 --> 00:11:27,140
+the distances from the center of the bridge to the
+
+111
+00:11:27,140 --> 00:11:31,760
+center of each cross are measured. ماذا أفعل؟ أذهب،
+
+112
+00:11:31,760 --> 00:11:36,020
+أقيس من منتصف الـ bridge إلى الـ center الـ
+
+113
+00:11:36,020 --> 00:11:40,600
+right، ومن منتصف الـ bridge إلى الـ center الـ left،
+
+114
+00:11:40,600 --> 00:11:46,780
+تمام؟ ونعمل عملية تدوين له، زي بالضبط الصورة هذه.
+
+115
+00:11:49,190 --> 00:11:54,750
+الآن، أول خطوة ماذا فعل؟ راح عمل اللي هو الـ
+
+116
+00:11:54,750 --> 00:12:04,450
+marker، من خلال، يعني هذا عبارة عن pen marker،
+
+117
+00:12:04,450 --> 00:12:08,530
+وضع علامة
+
+118
+00:12:08,530 --> 00:12:14,490
+في الـ pupil center.
+
+119
+00:12:17,760 --> 00:12:24,220
+الآن يأخذ الـ left ومن ثم الـ right. طيب الآن هو
+
+120
+00:12:24,220 --> 00:12:28,620
+قادر على أن يعمل، خلاص،  يُزيل الـ frame، ويبدأ
+
+121
+00:12:28,620 --> 00:12:32,620
+يقيس من الـ center إلى منتصف الـ bridge، ومن منتصف
+
+122
+00:12:32,620 --> 00:12:36,800
+الـ bridge إلى الـ center. هنا هكذا يكون حصل على
+
+123
+00:12:36,800 --> 00:12:42,080
+monocular BD.
+
+124
+00:12:47,240 --> 00:12:52,720
+طبعاً هنا ماذا تلاحظون؟ أن هناك symmetrical
+
+125
+00:12:52,720 --> 00:12:57,460
+nose،  تماثل ما بين الجزئين
+
+126
+00:12:57,460 --> 00:13:08,000
+of the nose. طيب،
+
+127
+00:13:08,000 --> 00:13:17,050
+هنا السؤال، هل الـ monocular PD مهم في الـ
+
+128
+00:13:17,050 --> 00:13:21,670
+distance vision أكثر أم في الـ near vision أكثر؟ و
+
+129
+00:13:21,670 --> 00:13:27,090
+لماذا؟
+
+130
+00:13:27,090 --> 00:13:33,370
+آه،
+
+131
+00:13:33,370 --> 00:13:41,370
+ماذا رأيكِ يا إسراء؟ للـ near أم للـ distance؟ أيُّهما
+
+132
+00:13:41,370 --> 00:13:47,300
+أكثر أهمية؟ طيب، لماذا؟
+
+133
+00:13:47,300 --> 00:13:51,640
+الـ position
+
+134
+00:13:51,640 --> 00:13:52,660
+of the glasses
+
+135
+00:13:59,360 --> 00:14:04,440
+طبعاً الصحيح أن دائماً الـ monocular PD هو الأهم للـ
+
+136
+00:14:04,440 --> 00:14:09,520
+near vision أكثر من الـ distance vision. لماذا؟ الآن،
+
+137
+00:14:09,520 --> 00:14:15,060
+في حالات، لا تضعي أن كل الحالات تعتبر
+
+138
+00:14:15,060 --> 00:14:18,340
+طبيعية، لا، في حالات ممكن يكون عنده ماذا؟
+
+139
+00:14:19,260 --> 00:14:22,840
+Accumulative Esotropia، يعني بمعنى أن العين
+
+140
+00:14:22,840 --> 00:14:27,400
+للداخل، أو عنده مثلاً  accommodation، أو عنده
+
+141
+00:14:27,400 --> 00:14:33,260
+Exotropia، العين للخارج، تمام؟ لازم هنا أُحدد قيمة
+
+142
+00:14:33,260 --> 00:14:39,180
+الـ monocular PD لهذه الحالة، لكي المريض
+
+143
+00:14:39,180 --> 00:14:44,920
+يقرا من النظارة باريحية. أيضاً الآن للأشخاص
+
+144
+00:14:44,920 --> 00:14:49,640
+الطبيعيين، هناك اختلاف واضح ما بين قيمة الـ BD للـ
+
+145
+00:14:49,640 --> 00:14:53,440
+distance وقيمة الـ BD للـ near، الفرق بينهم
+
+146
+00:14:53,440 --> 00:14:58,280
+تقريباً كم؟ 4 ملليمترات، يعني الآن لو جاءني مريض
+
+147
+00:14:58,280 --> 00:15:04,570
+عنده، طبعاً هذه في حالة أنا ما عندي لا ruler ولا عندي
+
+148
+00:15:04,570 --> 00:15:08,390
+frame، ولا عندي مثلاً، الآن سنأخذ اللي هو الـ
+
+149
+00:15:08,390 --> 00:15:13,170
+pupilometer. تمام، عندي مثلاً قيمة الـ IBD فقط للـ
+
+150
+00:15:13,170 --> 00:15:19,250
+distance كانت نفترض سبعين، لأنها لن تكون مباشرة،
+
+151
+00:15:19,250 --> 00:15:26,470
+بخصم أربعة مللي، ستكون ستة وستون مللي، تمام.  بس هذه
+
+152
+00:15:26,470 --> 00:15:31,890
+تحتاج إلى أن يكون، يعني في حالة أنا ما عندي أي
+
+153
+00:15:31,890 --> 00:15:36,510
+instrument أو أي tool لعملية التأكيد.
+
+154
+00:15:40,620 --> 00:15:46,360
+قياس قيمة الـ BD من خلال الأجهزة. The intra
+
+155
+00:15:46,360 --> 00:15:50,780
+pupillary distance is most easily measured by using
+
+156
+00:15:50,780 --> 00:15:55,940
+an instrument especially designed for this purpose.
+
+157
+00:15:57,050 --> 00:16:03,050
+يعني في هناك العديد من الأجهزة التي تُستخدم
+
+158
+00:16:03,050 --> 00:16:08,890
+بسهولة لقياس قيمة الـ BD، خاصة في الحالات التي
+
+159
+00:16:08,890 --> 00:16:15,050
+يكون فيها Parallax Errors، يعني في عندي خطأ أن
+
+160
+00:16:15,050 --> 00:16:21,690
+المريض دائماً بطريقة أو بشكل غير مقصود، تجد عنده
+
+161
+00:16:21,690 --> 00:16:26,110
+اللي هو ماذا؟ حركة للـ head، أو بطريقة غير مقصودة
+
+162
+00:16:26,110 --> 00:16:31,170
+نجد دائماً عنده حركة للعين، تمام؟  في عندنا مصطلح
+
+163
+00:16:31,170 --> 00:16:36,010
+مهم اسمه الـ parallax motion.
+
+164
+00:16:45,730 --> 00:16:58,430
+تمام؟ والمصطلح الآخر، size of image. ماذا
+
+165
+00:16:58,430 --> 00:17:04,250
+الفرق بين الاثنين، parallax motion والـ size of
+
+166
+00:17:04,250 --> 00:17:10,110
+image؟ من عندها فكرة؟
+
+167
+00:17:20,790 --> 00:17:30,970
+طبعاً،  ممكن عندنا size of image، معناه الآن أنا
+
+168
+00:17:30,970 --> 00:17:39,940
+عندما الـ optotype عندي على مسافة نفترض ستة أمتار، الآن
+
+169
+00:17:39,940 --> 00:17:45,640
+الحرف ستة على ستين، أراه كبيراً، صح أم لا؟ لو هذا ستة
+
+170
+00:17:45,640 --> 00:17:50,200
+على ستين، وضعته على مسافة ستين متراً، ماذا سيحدث؟
+
+171
+00:17:50,200 --> 00:17:55,600
+سيصغر، صح أم لا؟ يعني بمعنى آخر أن الـ target أو
+
+172
+00:17:55,600 --> 00:18:00,260
+الـ object، كلما أبعدته كلما ماذا؟ صغر في
+
+173
+00:18:00,260 --> 00:18:05,610
+الحجم، فهمتم عليه كيف؟ وهذا منطق، زي بالضبط الآن الستة
+
+174
+00:18:05,610 --> 00:18:10,150
+على ثمانية عشر. الآن الحرف بتاع الستة على ثمانية عشر، لو
+
+175
+00:18:10,150 --> 00:18:15,430
+وضعته على مسافة ثمانية عشر متراً، سأراه كما لو كان ستة على ستة على
+
+176
+00:18:15,430 --> 00:18:20,990
+مسافة كم؟ ستة أمتار. تمام، فهنا عندنا size of
+
+177
+00:18:20,990 --> 00:18:28,050
+image، أن the target would small، تمام، كلما هو
+
+178
+00:18:28,050 --> 00:18:33,620
+بعيد عن من؟ عن المريض. بينما الـ parallax
+
+179
+00:18:33,620 --> 00:18:39,440
+motion، الآن أنا مثلاً ألبس نظارة، حركة رأسي right
+
+180
+00:18:39,440 --> 00:18:43,240
+to left أو side to side أو up to down، هذه نسميها
+
+181
+00:18:43,240 --> 00:18:48,560
+parallax motion، يعني الـ movement of the head to
+
+182
+00:18:48,560 --> 00:18:55,300
+right or left or up to down. وأنتم تعرفون أن من
+
+183
+00:18:55,300 --> 00:18:58,940
+ناحية الـ glasses، ماذا سيحدث في الـ visual field؟
+
+184
+
+223
+00:24:15,330 --> 00:24:21,690
+around a dark و حوالينها بالضبط اللي هو يعني dark
+
+224
+00:24:21,690 --> 00:24:28,550
+area يعني بالشكل هذا، الآن هي الـ circle مضيقة من
+
+225
+00:24:28,550 --> 00:24:32,390
+المنتصف و هذا كله عبارة عن إيش؟ اللي هو dark area
+
+226
+00:24:39,890 --> 00:24:44,950
+central dot within the instrument بالضبط زي اللي
+
+227
+00:24:44,950 --> 00:24:48,070
+هو الـ dot اللي موجود وين في جهاز اللي هو الـ lens
+
+228
+00:24:48,070 --> 00:24:51,810
+meter مش فيه الـ dot اللي بتشوفوها في المنتصف نفس
+
+229
+00:24:51,810 --> 00:24:56,490
+الحاجة بس هذا هيكون الإضاءة وين في داخل اللي هو
+
+230
+00:24:56,490 --> 00:24:59,630
+المنتصف و الـ dark اللي حواليه في الـ lens meter
+
+231
+00:24:59,630 --> 00:25:00,130
+العكس
+
+232
+00:25:04,120 --> 00:25:08,380
+The dispenser will see the subject's eye and a
+
+233
+00:25:08,380 --> 00:25:13,780
+scale appearing on it from which a direct measure
+
+234
+00:25:13,780 --> 00:25:20,480
+is read. وظيفة اللي هو الآن الفاحص بعد ما المريض
+
+235
+00:25:20,480 --> 00:25:25,440
+بمسكها بمسك الجهاز بقرأ قداش قيمة اللي هو الـ scale
+
+236
+00:25:25,440 --> 00:25:30,180
+انه بيكون مكتوب رقم الـ number على اللي هو الجهاز
+
+237
+00:25:30,930 --> 00:25:35,510
+طبعاً بتديني monocular BD وأيضا اللي هو binocular
+
+238
+00:25:35,510 --> 00:25:40,330
+BD alternately
+
+239
+00:25:40,330 --> 00:25:45,830
+بالتبادل. in some instruments a split image of the
+
+240
+00:25:45,830 --> 00:25:50,090
+pupil may be seen. بعضها بتكونش يا جماعة عبارة عن
+
+241
+00:25:50,090 --> 00:25:54,730
+دائرة بتكون عبارة عن اللي هو split image يعني
+
+242
+00:25:54,730 --> 00:25:59,950
+وكأنه عبارة عن اللي هو خط هي اللي بتكون ظاهرة يعني
+
+243
+00:25:59,950 --> 00:26:06,650
+بدل الـ ring بتكون اللي هو split image لكن الشائع
+
+244
+00:26:06,650 --> 00:26:11,770
+اللي هو بيكون عبارة عن circle. هاي شايفين الان هاي
+
+245
+00:26:11,770 --> 00:26:16,630
+عندنا اتنين و ستين و نص هذا بيديني ايش الـ
+
+246
+00:26:16,630 --> 00:26:21,870
+binocular BD. عندنا واحد و تلاتين و نص و عندنا واحد
+
+247
+00:26:21,870 --> 00:26:25,950
+و تلاتين و نص
+
+248
+00:26:33,770 --> 00:26:36,650
+وهي زي ما انتوا شايفين عبارة عن اللي هو الـ circle
+
+249
+00:26:36,650 --> 00:26:42,810
+تمام من المنتصف وعنا حوالينه بيكون اللي هو زي dark
+
+250
+00:26:42,810 --> 00:26:48,190
+فلازم تكون العين اللي هو straight ولازم انه
+
+251
+00:26:48,190 --> 00:26:53,130
+مايكونش فيه هناك اي تأذاح لمين؟ لاللي هو عين المريض
+
+252
+00:26:53,130 --> 00:26:58,270
+طبعا مع الأطفال في هناك صعوبة في اللي هو استخدام
+
+253
+00:26:58,270 --> 00:26:59,270
+الـ papillometer
+
+254
+00:27:05,520 --> 00:27:12,740
+النير بي دي يتطلب من النادرات الوحيدة للقراءة أو
+
+255
+00:27:12,740 --> 00:27:18,440
+للمعيارات المعيارات المعيارات المعيارات المعيارات
+
+256
+00:27:18,440 --> 00:27:18,820
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+257
+00:27:18,820 --> 00:27:19,240
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+258
+00:27:19,240 --> 00:27:20,760
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+259
+00:27:20,760 --> 00:27:25,460
+المعيارات المعيارات المعيارات
+
+260
+00:27:25,460 --> 00:27:26,720
+المعيارات
+
+261
+00:27:35,370 --> 00:27:41,570
+Okay, for single vision reading glasses, the lenses
+
+262
+00:27:41,570 --> 00:27:47,170
+are set so that their optical centers will be in
+
+263
+00:27:47,170 --> 00:27:51,670
+the lines of sight of the eye when the eyes are
+
+264
+00:27:51,670 --> 00:27:55,610
+converted for reading. دايما يا جماعة لما انا بدي
+
+265
+00:27:55,610 --> 00:28:01,210
+أحدد قيمة الـ IPD لهذا المريض لازم أراعي موضوع الـ
+
+266
+00:28:01,210 --> 00:28:06,150
+convergence أثناء القراءة تمام؟ عشان تكون ملائمة
+
+267
+00:28:06,150 --> 00:28:12,760
+الـ optical center في حالة اللي هو الـ near work. The
+
+268
+00:28:12,760 --> 00:28:18,380
+near PD can be either measured or calculated. يمكن
+
+269
+00:28:18,380 --> 00:28:24,440
+اللي هو حسابها زي ما حكيتلكم من خلال انه بطرح قيمة
+
+270
+00:28:24,440 --> 00:28:28,840
+الـ binocular PD اللي هي تاعة الـ distance مثلا
+
+271
+00:28:28,840 --> 00:28:33,920
+سبعين بخسم منها أربعة هذه بيمثل الـ 66 عبارة عن الـ
+
+272
+00:28:33,920 --> 00:28:36,940
+near PD تمام؟
+
+273
+00:28:45,670 --> 00:28:53,510
+measuring near BD with a BD rule to measure the
+
+274
+00:28:53,510 --> 00:28:58,390
+near BD with a BD rule. the dispenser is positioned
+
+275
+00:28:58,390 --> 00:29:04,450
+at the subject's working distance. الآن أما انا بدي
+
+276
+00:29:04,450 --> 00:29:10,160
+أقيس الـ monocular BD للمريض طبعا for Norwegian
+
+277
+00:29:10,160 --> 00:29:14,300
+لازم أقعد على مسافة العمل اللي هو بيشتغل عليها،
+
+278
+00:29:14,300 --> 00:29:17,960
+يعني بسأله قبل انه قد ايش مسافة العمل بتاعتك، بقوللي
+
+279
+00:29:17,960 --> 00:29:22,580
+مثلا تلاتين سنتيمتر، خمسة و تلاتين، اربعين، حسب مسافة
+
+280
+00:29:22,580 --> 00:29:29,880
+العمل بقوم باللي هو قياس قيمة الـ BD. The dispenser
+
+281
+00:29:29,880 --> 00:29:35,920
+aligns his or her better eye directly before the
+
+282
+00:29:35,920 --> 00:29:41,420
+subject's nose and instructs the subject to look
+
+283
+00:29:41,420 --> 00:29:47,910
+into the open eye. دايما الفاحص ببدأ بالعين الأفضل
+
+284
+00:29:47,910 --> 00:29:52,770
+من ناحية اللي هو الـ vision تمام وبرشد المريض أنه
+
+285
+00:29:52,770 --> 00:29:56,250
+يطلع سواء في الـ right إذا بدأ اللي هو في الـ left
+
+286
+00:29:56,250 --> 00:29:59,570
+أو اللي هو في الـ left إذا بدأ بفحص اللي هو الـ
+
+287
+00:29:59,570 --> 00:30:05,210
+right. The PD rule is a line up the zero point
+
+288
+00:30:05,210 --> 00:30:08,730
+corresponding to the center of the subject's right
+
+289
+00:30:08,730 --> 00:30:13,340
+pupil. اذا عندنا بدنا نبدأ اللي هو في الـ scale من
+
+290
+00:30:13,340 --> 00:30:16,900
+اللي هو الصفر هتكون على الـ center of اللي هو pupil
+
+291
+00:30:16,900 --> 00:30:22,420
+تمام؟ زي بالضبط اللي هو for distance في العين
+
+292
+00:30:22,420 --> 00:30:27,620
+الأخرى هيكون عبارة عن ايه؟ الـ scale الآخر يعني الـ
+
+293
+00:30:27,620 --> 00:30:31,860
+scale الأول الـ zero. الـ scale الثاني هيكون على الـ
+
+294
+00:30:31,860 --> 00:30:37,620
+another eye. هذا هيك بيكون قاسمين الـ near PD. The
+
+295
+00:30:37,620 --> 00:30:43,000
+subject is not required to shift gears. يعني لازم
+
+296
+00:30:43,000 --> 00:30:48,380
+أنا أقول للمريض انه ما يتحركش في اللي هو هالمعالم
+
+297
+00:30:48,380 --> 00:30:56,280
+اللي هو shift gears يعني عبارة عن up او down او
+
+298
+00:30:56,280 --> 00:31:04,480
+right او left gears. يعني دائما يكون انه straight
+
+299
+00:31:04,480 --> 00:31:05,340
+مستقيم
+
+300
+00:31:15,540 --> 00:31:21,980
+ولاَزم الفاحص يحافظ على أن كلا العينين أيضا يكونوا
+
+301
+00:31:21,980 --> 00:31:26,180
+في الـ straight position. طب لو واحد عنده squint
+
+302
+00:31:32,650 --> 00:31:36,430
+مئة في المئة بنعمل monocular PD تمام؟ طيب ليش
+
+303
+00:31:36,430 --> 00:31:44,470
+المسَطرة حطها على الـ spectacle plane؟ هاي شايفين
+
+304
+00:31:44,470 --> 00:31:53,190
+الـ ruler حطها على الـ spectacle plane، إيش السبب؟
+
+305
+00:31:53,190 --> 00:31:58,510
+قال لأنه أنا ما بدي أحط النضارة، المريض مش هي...
+
+306
+00:31:58,510 --> 00:32:02,290
+يعني هيكون فيه هناك الـ back vertic distance. يعني
+
+307
+00:32:02,290 --> 00:32:06,410
+الهدف من ذلك هو المحافظة على المسافة ما بين الـ
+
+308
+00:32:06,410 --> 00:32:09,170
+posterior surface of the lens و الـ anterior
+
+309
+00:32:09,170 --> 00:32:13,290
+surface of the cornea، ما بدهاش تكون اللي هو بشكل
+
+310
+00:32:13,290 --> 00:32:18,530
+مباشر، فعشان هيك كمان أنا بدي أجي أقيس، لازم أحط
+
+311
+00:32:18,530 --> 00:32:23,890
+اللي هو على مسافة الـ spectacle plane، طبعا هو بدأ
+
+312
+00:32:23,890 --> 00:32:30,310
+monocular PD في اللي هو الـ right و من ثم أو في الـ
+
+313
+00:32:30,310 --> 00:32:34,050
+left. من ثم اللي هو الـ right. وهي عندنا الـ dispenser
+
+314
+00:32:34,050 --> 00:32:37,690
+و بدها تكون المسافة هي عبارة عن الـ working
+
+315
+00:32:37,690 --> 00:32:41,750
+distance. مثلا أربعين او خمسة و تلاتين او تلاتين
+
+316
+00:32:41,750 --> 00:32:47,970
+سنتيمتر. هذه بالأساس بتعتمد على مين؟ على المريض. in a
+
+317
+00:32:47,970 --> 00:32:55,150
+practice من ناحية عملية many who use a PD rule to
+
+318
+00:32:55,150 --> 00:33:01,040
+measure. The binocular distance BD measure the near
+
+319
+00:33:01,040 --> 00:33:07,940
+BD at the same time. اذا من ناحية عملية أن أول حاجة
+
+320
+00:33:07,940 --> 00:33:13,580
+بقيس قيمة الـ BD ومن ثم بقيس قيمة الـ BD عفوا لا الـ
+
+321
+00:33:13,580 --> 00:33:19,650
+monocular ومن ثم للـ binocular. أو ممكن أنا أقيس الـ
+
+322
+00:33:19,650 --> 00:33:24,030
+monocular و أضيف عليها إيش قيمة اللي هو يعني هتكون
+
+323
+00:33:24,030 --> 00:33:29,690
+العين الأخرى مساوية لمين؟ للأولى. تمام فهيديني نفس
+
+324
+00:33:29,690 --> 00:33:34,530
+النتيجة اللي هو قيمة إيش؟ الـ IPD ككل. الـ both eyes
+
+325
+00:33:39,920 --> 00:33:44,340
+زي ما اتفقنا أنه على مسافة أربعين سنتيمتر المريض أو
+
+326
+00:33:44,340 --> 00:33:48,460
+الفاحص ببدأ بالعين اليمنى و من ثم العين اليسرى و
+
+327
+00:33:48,460 --> 00:33:55,100
+العين الأخرى بتكون اللي هو ثابتة من ناحية اللي هو
+
+328
+00:33:55,100 --> 00:34:00,380
+الـ scale. هنبدأ من الصفر و الـ another اللي هو part
+
+329
+00:34:00,380 --> 00:34:04,360
+of the ruler هتكون على الـ scale الآخر
+
+330
+00:34:06,870 --> 00:34:11,670
+تمام فهيك أنا بكون اللي هو بقرأ قيمة قد ايش اللي هو
+
+331
+00:34:11,670 --> 00:34:15,890
+الـ IPD سواء كانت monocular أو اللي هو binocular PD
+
+332
+00:34:15,890 --> 00:34:22,850
+طيب
+
+333
+00:34:22,850 --> 00:34:29,610
+taking near PD using a pupillometer. اللي هو الجهاز
+
+334
+00:34:29,610 --> 00:34:34,880
+أو الـ instrument. Usually a PD measuring instrument
+
+335
+00:34:34,880 --> 00:34:40,340
+will allow both distance and near PD to be measured.
+
+336
+00:34:40,340 --> 00:34:45,220
+يعني الجهاز قادر على قياس الـ distance and near PD
+
+337
+00:34:45,220 --> 00:34:49,240
+والآن بعض الأجهزة بتقيس الـ near و الـ
+
+338
+00:34:49,240 --> 00:34:53,680
+distance at the same time. في نفس الوقت زي ما شفنا
+
+339
+00:34:53,680 --> 00:35:01,740
+بديك الـ scale على نفس الجهاز. هذا مفهوم من خلال
+
+340
+00:35:01,740 --> 00:35:08,660
+استخدام مصمم للمصورة الداخلية التي تغير مقاطع
+
+341
+00:35:08,660 --> 00:35:15,560
+الصورة والتقاط للموضوع. يمكن هذا الأمر اللي هو
+
+342
+00:35:15,560 --> 00:35:21,100
+إجراءه من خلال اللي هو تحريك العدسة الداخلية اللي
+
+343
+00:35:21,100 --> 00:35:24,880
+موجودة في داخل اللي هو الجهاز. أن ممكن أعمل اللي
+
+344
+00:35:24,880 --> 00:35:29,140
+هو convergence أو اللي هو divergence حسب المراد
+
+345
+00:35:29,140 --> 00:35:33,660
+the new readings are carried out. إيش معنى carried
+
+346
+00:35:33,660 --> 00:35:39,920
+out؟ يعني بمعنى be performed يعني اللي هو بتجرى أو
+
+347
+00:35:39,920 --> 00:35:44,340
+بمعنى اللي هو done. in the same manner at the same
+
+348
+00:35:44,340 --> 00:35:51,180
+reading. إذا بتم اللي هو إجراء فحص أو قياس الـ near
+
+349
+00:35:51,180 --> 00:35:56,340
+BD نفس اللي هو طريقة مين؟ فحص اللي هو الـ distance
+
+350
+00:35:56,340 --> 00:36:00,120
+reading. بس الخلاف الوحيد أني أنا بدي أعرف الـ
+
+351
+00:36:00,120 --> 00:36:05,000
+working distance للمريض. قد ايش؟ عن هذيك اللي بتكون
+
+352
+00:36:05,000 --> 00:36:09,780
+محددة. هي عبارة عن أربعين سنتيمتر. في أي سؤال؟ أي
+
+353
+00:36:09,780 --> 00:36:10,620
+استفسار؟
+
+354
+00:36:13,800 --> 00:36:16,960
+فنقف إن شاء الله على النقطة هذه في المحاضرة
+
+355
+00:36:16,960 --> 00:36:18,780
+القادمة إن شاء الله. بنكمل
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..037d5c31f660df8466d65442242d9c77284229d6
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/RTHKgzXcDag_postprocess.srt
@@ -0,0 +1,1420 @@
+1
+00:00:20,820 --> 00:00:23,600
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,600 --> 00:00:27,880
+وبركاته and a very good morning to all of you
+
+3
+00:00:27,880 --> 00:00:34,160
+هنكمل ان شاء الله اليوم موضوع ال intra pupillary
+
+4
+00:00:34,160 --> 00:00:42,200
+distance or IBD في المحاضرات السابقة أخدنا how to
+
+5
+00:00:42,200 --> 00:00:50,540
+measure IBD اليوم هناخد monocular IBDA procedure
+
+6
+00:00:50,540 --> 00:00:56,540
+for measuring monocular BD using the frame إذا
+
+7
+00:00:56,540 --> 00:01:03,100
+نقياس قيمة ال IBD لكن هيكون اللي هو monocular
+
+8
+00:01:03,100 --> 00:01:08,560
+باستخدام ال frame One
+
+9
+00:01:08,560 --> 00:01:16,500
+error inherent أي بمعنى essential أساسيIn using a
+
+10
+00:01:16,500 --> 00:01:22,280
+ruler alone appears when a person has an
+
+11
+00:01:22,280 --> 00:01:29,240
+asymmetrical nose إذا واحدة من المشاكل الرئيسية أو
+
+12
+00:01:29,240 --> 00:01:35,340
+المشاكل الأساسية في قياس قيمة ال IBD بتكلم هنا أنا
+
+13
+00:01:35,340 --> 00:01:41,880
+binocular تمام لو كان الشخص عنده عدم تماثل في اللي
+
+14
+00:01:41,880 --> 00:01:47,500
+هو ال noseأو بمعنى آخر أنه في عنده منطقة في ال
+
+15
+00:01:47,500 --> 00:01:51,880
+nose مكسورة ومنطقة اللي هو سليمة فهيكون عنده
+
+16
+00:01:51,880 --> 00:01:56,900
+asymmetrical اللي هو nose an
+
+17
+00:01:56,900 --> 00:02:03,420
+asymmetrical nose often occurs when a nose has
+
+18
+00:02:03,420 --> 00:02:11,360
+been broken هذا عدم التماثلتمام؟ غالبا بيحدث يما
+
+19
+00:02:11,360 --> 00:02:17,100
+يكون في عندك كثر في أحد اللي هو أجزاء الأنف، سواء
+
+20
+00:02:17,100 --> 00:02:19,920
+من ناحية ال right أو من ناحية ال left
+
+21
+00:02:23,860 --> 00:02:28,960
+In this case في هذه الحالة الـ frame positions
+
+22
+00:02:28,960 --> 00:02:33,720
+itself somewhat to the left or right
+
+23
+00:02:39,840 --> 00:02:44,140
+في هذه الحالة هيكون ال framework مائل باتجاه اما
+
+24
+00:02:44,140 --> 00:02:47,880
+اليمين السليم او الشمال اذا كان هو السليم يعني
+
+25
+00:02:47,880 --> 00:02:54,280
+دايما باتجاه الانف اللي هو السليم او الجهة السليمة
+
+26
+00:02:54,280 --> 00:03:00,540
+في الانف for the lenses to be accurately placed
+
+27
+00:03:00,540 --> 00:03:07,010
+this factor must be taken into accountعشان انا
+
+28
+00:03:07,010 --> 00:03:12,090
+احصل على monocular بيدي يكون دقيق، لازم هذه النقطة
+
+29
+00:03:12,090 --> 00:03:16,970
+اخدها بعين الاعتبار، تمام؟ يعني هذه النقطة into
+
+30
+00:03:16,970 --> 00:03:23,790
+account ان تكون مأخوذة بعين الاعتبار ان في عنا عدم
+
+31
+00:03:23,790 --> 00:03:26,750
+تماثل او asymmetrical nodes
+
+32
+00:03:32,590 --> 00:03:38,750
+It's possible to use an overhead transparency
+
+33
+00:03:38,750 --> 00:03:45,190
+marking pen ممكن في بعض الأحيان أستخدم قلم زي ال
+
+34
+00:03:45,190 --> 00:03:50,890
+marker اللي بتستخدموه اللي بيكون عبارة عن marker
+
+35
+00:03:50,890 --> 00:03:56,230
+لونه أحمر تمام اللي من خلاله أنا بقدر اللي هو أعلم
+
+36
+00:03:56,230 --> 00:04:02,300
+على العدسة اللي بتكون شفافةand the glass lenses
+
+37
+00:04:02,300 --> 00:04:07,560
+يعني بيدي اللي هو قيمة أو بدي point نقطة على
+
+38
+00:04:07,560 --> 00:04:12,000
+العدسة in the sample frame أو على الإطار
+
+39
+00:04:15,960 --> 00:04:20,900
+طيب في حالة if the sample a frame doesn't have
+
+40
+00:04:20,900 --> 00:04:24,620
+glass lenses الان انا لبست المريض زي ال trial
+
+41
+00:04:24,620 --> 00:04:27,860
+frame اللي عندنا في المعمل او في اللي هو ال
+
+42
+00:04:27,860 --> 00:04:32,120
+refraction مافيش فيه عدسات صح ولا لأ؟ يعني مافيش
+
+43
+00:04:32,120 --> 00:04:40,520
+اللي هو ال glass lensesممكن أحط
+
+44
+00:04:40,520 --> 00:04:44,920
+عدسة في العين اليمن و عدسة في العين الشمال و أحدد
+
+45
+00:04:44,920 --> 00:04:48,980
+أنا من خلال مين هان السنتر و هان السنتر و أبدأ
+
+46
+00:04:48,980 --> 00:04:53,040
+اللي هو أقيص إيش المونوكيلر بيدي لكل عين على حده
+
+47
+00:04:58,700 --> 00:05:06,060
+البروسيجر لتحسين الـ BD المونوكولار يبدأ بالتحسين
+
+48
+00:05:06,060 --> 00:05:12,080
+للصورةزي بالضبط لما احنا بنعمل reflection اول قضية
+
+49
+00:05:12,080 --> 00:05:16,800
+ايش؟ بتعرف قداش قيمة ال IBD لهذا ال patient
+
+50
+00:05:16,800 --> 00:05:20,880
+وبعملها reflection على مين؟ على ال trial frame
+
+51
+00:05:20,880 --> 00:05:26,620
+الخاص في اللي هو المريض يعني مثلا المريض عنده ستة
+
+52
+00:05:26,620 --> 00:05:31,360
+و ستين بروح بنجل monocular اللي هو BD كداش هتكون
+
+53
+00:05:31,360 --> 00:05:34,440
+على ال right مثلا تلاتة و تلاتين و على ال left
+
+54
+00:05:34,440 --> 00:05:40,290
+اللي هو تلاتة و تلاتين تمام؟فهن اول قضية ان في
+
+55
+00:05:40,290 --> 00:05:45,210
+عملية قياس ال BD لازم اعمل adjustment لمين لل
+
+56
+00:05:45,210 --> 00:05:50,170
+frame ال
+
+57
+00:05:50,170 --> 00:05:56,130
+frame should occupy the exact position it will
+
+58
+00:05:56,130 --> 00:06:01,420
+have with the lenses in a placeأيضًا لازم الإطار
+
+59
+00:06:01,420 --> 00:06:07,240
+يحتل مكان اللي هو معين أو بنسميه اللي هو exact
+
+60
+00:06:07,240 --> 00:06:11,820
+position يعني الموضع اللي هو الرسمي له أو الصحيح
+
+61
+00:06:11,820 --> 00:06:16,540
+له بحيث العدسات ما تكونش للأعلى ولا للأسفل ولا
+
+62
+00:06:16,540 --> 00:06:21,460
+مثلًا للأمام ولا للخلف انه تكون اللي هو منضبطة
+
+63
+00:06:21,460 --> 00:06:26,080
+بشكل اللي هو الصحيح يعني بنسميها اللي هو optimal
+
+64
+00:06:34,910 --> 00:06:45,150
+fit for the frame او
+
+65
+00:06:45,150 --> 00:06:52,390
+بنسميه a proper fit
+
+66
+00:06:52,390 --> 00:06:56,830
+of the frame يعني بيكون اللي هو مناسب او ملائم
+
+67
+00:06:56,830 --> 00:06:58,130
+لاللي هو الإطار
+
+68
+00:07:03,460 --> 00:07:08,800
+الدسبينصر يجب أن يكون في نفس المستوى و 40 سانتا
+
+69
+00:07:08,800 --> 00:07:16,770
+متر بعيدنفس المسافة اللي كانت في ال binocular BD
+
+70
+00:07:16,770 --> 00:07:21,610
+نفسها هتكون وين؟ في ال monocular BD يعني الآن انه
+
+71
+00:07:21,610 --> 00:07:24,610
+في ال monocular BD بده تكون المسافة ما بين ال
+
+72
+00:07:24,610 --> 00:07:28,950
+dispenser و مين؟ و اللي هو ال patient اربعين سانتي
+
+73
+00:07:28,950 --> 00:07:34,650
+عشان انك تتحكمي في اللي هو المصطرة تمام؟ و تخلي
+
+74
+00:07:34,650 --> 00:07:39,170
+المريض انه يطلع اللي هو بشكل مناسب او بشكل ملائم
+
+75
+00:07:42,150 --> 00:07:46,810
+العين اليمنى يغلق
+
+76
+00:07:46,810 --> 00:07:52,330
+العين اليمنى عشان يضع عين المسطرة بالضبط على العين
+
+77
+00:07:52,330 --> 00:07:54,150
+المقابل له
+
+78
+00:08:08,110 --> 00:08:13,310
+The wearer is instructed to look at the dispenser
+
+79
+00:08:13,310 --> 00:08:19,370
+is open left eye دايما لازم يكون face to face
+
+80
+00:08:19,370 --> 00:08:24,570
+العلاقة ما بين المريض و ما بين مين الفاحص بحيث انه
+
+81
+00:08:24,570 --> 00:08:28,110
+دايما انت لازم ترشد المريض انه يطلع اللي هو
+
+82
+00:08:28,110 --> 00:08:28,730
+straight
+
+83
+00:08:32,690 --> 00:08:38,530
+The dispenser uses a marking pen and marks a cross
+
+84
+00:08:38,530 --> 00:08:43,830
+over the center of the wearer's right pupil الان
+
+85
+00:08:43,830 --> 00:08:48,350
+مثلا انا استخدمت ال trial frame عادي او a frame
+
+86
+00:08:48,350 --> 00:08:52,750
+فيه glasses دايما بدى يكون عندى marker لعملية اللي
+
+87
+00:08:52,750 --> 00:08:56,590
+هو تعليم ال center تمام من ناحية اللي هو ال right
+
+88
+00:08:56,590 --> 00:09:00,950
+و من ناحية ال left هدى في حالة ايش؟
+
+89
+00:09:06,560 --> 00:09:12,280
+Iglost lenses موجودة في داخل اللي هو ال frame
+
+90
+00:09:12,280 --> 00:09:18,060
+Because
+
+91
+00:09:18,060 --> 00:09:24,840
+of the movement involved in marking pupil center
+
+92
+00:09:35,730 --> 00:09:40,910
+الان مثلا انا حددت اللي هو قيبة ال center في ال
+
+93
+00:09:40,910 --> 00:09:44,550
+right وال center في ال left الان ليش احنا بنعلم ب
+
+94
+00:09:44,550 --> 00:09:49,110
+marker؟ ممكن المريض وانت بتفحصييكون عنده
+
+95
+00:09:49,110 --> 00:09:53,110
+involuntary head movement يعني بشكل لا إرادة أو
+
+96
+00:09:53,110 --> 00:09:57,530
+بشكل اللي هو unintentional يعني غير مقصود انه يعمل
+
+97
+00:09:57,530 --> 00:10:01,850
+إزاحة لإيش للعين أو إزاحة لل head فانت هيك بتكون
+
+98
+00:10:01,850 --> 00:10:06,630
+ضيعت إيش ال center بتاع الخاص فيه اللي هو ال BD
+
+99
+00:10:06,630 --> 00:10:11,850
+فدايما انا بعمل اللي هو تعليم بال marker لخوفا من
+
+100
+00:10:11,850 --> 00:10:17,290
+إنه يصير هناك uninitial head movementIt's
+
+101
+00:10:17,290 --> 00:10:21,350
+important that these markings be carefully
+
+102
+00:10:21,350 --> 00:10:26,970
+rechecked طيب الان مثلا انا فحصت ال IBD لهذا
+
+103
+00:10:26,970 --> 00:10:32,510
+المريض وحبينا انه examiner اخر يتأكد من هذا القيمة
+
+104
+00:10:32,510 --> 00:10:38,390
+تمام بروح بفحص ايش فقط من ال center لل center يعني
+
+105
+00:10:38,390 --> 00:10:41,150
+عملية اللي هو recheck تأكيد لهذا الأمر
+
+106
+00:10:58,260 --> 00:11:04,300
+When the dispenser is confident the pupil centers
+
+107
+00:11:04,300 --> 00:11:12,140
+are accurately marked يما يكون الفاحص عنده ثقة ان
+
+108
+00:11:12,140 --> 00:11:17,420
+ال marker بتاعه اجى في منتصف العدسة تمام؟The
+
+109
+00:11:17,420 --> 00:11:22,420
+frames are removed ممكن أعمل إزالة للـ frame And
+
+110
+00:11:22,420 --> 00:11:27,140
+the distances from the center of the bridge to the
+
+111
+00:11:27,140 --> 00:11:31,760
+center of each cross are measured إيش بعمل؟ بروح
+
+112
+00:11:31,760 --> 00:11:36,020
+أجيس من منتصف اللي هو ال bridge ل ال center ال
+
+113
+00:11:36,020 --> 00:11:40,600
+right و من منتصف ال bridge ل ال center إيش ال left
+
+114
+00:11:40,600 --> 00:11:46,780
+تمام؟ و بنعمل عملية تدجيل له زي بالضبط الصورة هذه
+
+115
+00:11:49,190 --> 00:11:54,750
+الان اول خطوة ايش عمل هو؟ راح عمل اللي هو ال
+
+116
+00:11:54,750 --> 00:12:04,450
+marker من خلال يعني هذا عبارة عن ال pen marker
+
+117
+00:12:04,450 --> 00:12:08,530
+علمها
+
+118
+00:12:08,530 --> 00:12:14,490
+في ال pupil center
+
+119
+00:12:17,760 --> 00:12:24,220
+الان اخد الـ left و من ثم ال right طيب الان هو
+
+120
+00:12:24,220 --> 00:12:28,620
+قادر على ايش انه يعمل خلاص يعمل remove لل frame و
+
+121
+00:12:28,620 --> 00:12:32,620
+يبدأ يجيس من ال center لمنتصف ال bridge و من منتصف
+
+122
+00:12:32,620 --> 00:12:36,800
+ال bridge ل ال center هنا هيك بيكون حصل على ايش
+
+123
+00:12:36,800 --> 00:12:42,080
+monocular bd
+
+124
+00:12:47,240 --> 00:12:52,720
+طبعا هان ايش كمان بتلاحظوا انه في هناك symmetrical
+
+125
+00:12:52,720 --> 00:12:57,460
+اللي هو nose في تماثل ما بين اللي هو ال two part
+
+126
+00:12:57,460 --> 00:13:08,000
+of the nose طيب
+
+127
+00:13:08,000 --> 00:13:17,050
+هان السؤال انه هلال monocular PD مهم في ال
+
+128
+00:13:17,050 --> 00:13:21,670
+distance vision أكتر ولا ال near vision أكتر؟ و
+
+129
+00:13:21,670 --> 00:13:27,090
+ليش؟
+
+130
+00:13:27,090 --> 00:13:33,370
+أه
+
+131
+00:13:33,370 --> 00:13:41,370
+إيش رأيك يا إسراء؟ لل near ولا لل distance؟ مين
+
+132
+00:13:41,370 --> 00:13:47,300
+أكتر أهمية؟طيب ليش؟
+
+133
+00:13:47,300 --> 00:13:51,640
+ال position
+
+134
+00:13:51,640 --> 00:13:52,660
+of the glass
+
+135
+00:13:59,360 --> 00:14:04,440
+طبعا الصح انه دايما ال monocular PD هو الأهم لل
+
+136
+00:14:04,440 --> 00:14:09,520
+near vision أكتر من ال distance vision ليش؟ الآن
+
+137
+00:14:09,520 --> 00:14:15,060
+في حالات دايما ماتحطيش انه كل الحالات هي تعتبر
+
+138
+00:14:15,060 --> 00:14:18,340
+normal، لأ في حالات ممكن يكون عنده إيش؟
+
+139
+00:14:19,260 --> 00:14:22,840
+Accumulative Esotropia يعني بمعنى ان العنتيل
+
+140
+00:14:22,840 --> 00:14:27,400
+للداخل أو عنده مثلا اكموديت او عنده اللي هو
+
+141
+00:14:27,400 --> 00:14:33,260
+اكزوتروبيا العنتيل للخارج تمام؟ لازم هنا احدد قيمة
+
+142
+00:14:33,260 --> 00:14:39,180
+اللي هو ال monocular PD لهذه الحالة عشان ان المريض
+
+143
+00:14:39,180 --> 00:14:44,920
+يكون بيقرأ من النضارة بأرياحيةأيضًا الآن للأشخاص
+
+144
+00:14:44,920 --> 00:14:49,640
+الطبيعيين، هناك اختلاف واضح ما بين قيمة الـ BD للـ
+
+145
+00:14:49,640 --> 00:14:53,440
+distance و قيمة الـ BD للـ near الفرق بينهم
+
+146
+00:14:53,440 --> 00:14:58,280
+تقريبًا قداش 4 مليمتر، يعني الآن لو إجاني مريض
+
+147
+00:14:58,280 --> 00:15:04,570
+عندهطبعا هذه في حالة أنا ماعنديش لا ruler ولا عندى
+
+148
+00:15:04,570 --> 00:15:08,390
+frame ولا عندى مثلا الآن هناخد اللى هو ال
+
+149
+00:15:08,390 --> 00:15:13,170
+pupilometer تمام عندي مثلا قيمة ال IBD فقط لل
+
+150
+00:15:13,170 --> 00:15:19,250
+distance كانت نفترض سبعين لان مير جدش هتكون مباشرة
+
+151
+00:15:19,250 --> 00:15:26,470
+بخصم أربعة ملي هتكون ستة و ستين ملي تمامبس هذه
+
+152
+00:15:26,470 --> 00:15:31,890
+بدها انه يكون يعني في حالة انا ماعنديش اية
+
+153
+00:15:31,890 --> 00:15:36,510
+instrument او اية tool لعملية التأكيد
+
+154
+00:15:40,620 --> 00:15:46,360
+قياس قيمة الـ BD من خلال اللي هو الأجهزة The intra
+
+155
+00:15:46,360 --> 00:15:50,780
+-bipolar distance is most easily measured by using
+
+156
+00:15:50,780 --> 00:15:55,940
+an instrument especially designed for this purpose
+
+157
+00:15:57,050 --> 00:16:03,050
+يعني في هناك العديد من الأجهزة اللي بتتم استخدامها
+
+158
+00:16:03,050 --> 00:16:08,890
+بسهولة لقياس قيمة الـ BD خاصة في الحالات إيش اللي
+
+159
+00:16:08,890 --> 00:16:15,050
+بيكون فيها Parallax Errorsيعني في عندى خطأ انه
+
+160
+00:16:15,050 --> 00:16:21,690
+المريض دايما بطريقة او بشكل غير مقصود بتلاقي عنده
+
+161
+00:16:21,690 --> 00:16:26,110
+اللي هو ايش حركة للhead او بطريقة غير مقصودة
+
+162
+00:16:26,110 --> 00:16:31,170
+بتلاقي دايما عنده حركة للعين تمام؟ في عندنا مصطلح
+
+163
+00:16:31,170 --> 00:16:36,010
+مهم اسمه ال parallax motion
+
+164
+00:16:45,730 --> 00:16:58,430
+تمام؟ والمصطلح الآخر ال size of image ايش
+
+165
+00:16:58,430 --> 00:17:04,250
+الفرق بين التانين ال parallax motion و ال size of
+
+166
+00:17:04,250 --> 00:17:10,110
+image؟ مين عندها فكرة؟
+
+167
+00:17:20,790 --> 00:17:30,970
+طبعا ممكن عندنا ال size of image معناه الآن انا
+
+168
+00:17:30,970 --> 00:17:39,940
+عندما ال optotype عندى على مسافة نفترض ستة مترالان
+
+169
+00:17:39,940 --> 00:17:45,640
+الحرف ستة ع ستين بشوفه كبير، صح ولا لأ؟ لو هذا ستة
+
+170
+00:17:45,640 --> 00:17:50,200
+ع ستين وضعته على مسافة ستين متر، إيش هيصير فيه؟
+
+171
+00:17:50,200 --> 00:17:55,600
+هيصغر، صح ولا لأ؟ يعني بمعنى آخر إنه ال target أو
+
+172
+00:17:55,600 --> 00:18:00,260
+ال object كل ما أنا بعدته كل ما إيش صار صغر في
+
+173
+00:18:00,260 --> 00:18:05,610
+الحجمفهمين عليه كيف؟ وهذا منطق زي بالضبط الان الست
+
+174
+00:18:05,610 --> 00:18:10,150
+على تمانتاش الان الحرف بتاع الست ع تمانتاش لو
+
+175
+00:18:10,150 --> 00:18:15,430
+حطيته ع مسافة تمانتاش متر هشوفه كأنه ستة ع ستة ع
+
+176
+00:18:15,430 --> 00:18:20,990
+مسافة جديش ستة متر تمام فهنا عندنا ال size of
+
+177
+00:18:20,990 --> 00:18:28,050
+image انه the target would small تمام كل ما هو
+
+178
+00:18:28,050 --> 00:18:33,620
+بعيد عن مين؟ عن اللي هو المريضبينما الـ parallax
+
+179
+00:18:33,620 --> 00:18:39,440
+motion، الآن أنا مثلا لابس نضارة، حركة رأسي right
+
+180
+00:18:39,440 --> 00:18:43,240
+to left أو side to side أو up to down، هذه بنسميها
+
+181
+00:18:43,240 --> 00:18:48,560
+parallax motion، يعني الـ movement of the head to
+
+182
+00:18:48,560 --> 00:18:55,300
+right or left or up to downوانتوا بتعرفوا انه من
+
+183
+00:18:55,300 --> 00:18:58,940
+ناحية ال glasses ايش هيصير في ال visual field
+
+184
+00:18:58,940 --> 00:19:04,660
+هيكون هناك limitation لالهو ال visual field اذا ال
+
+185
+00:19:04,660 --> 00:19:14,680
+parallax motion movement
+
+186
+00:19:14,680 --> 00:19:17,740
+of
+
+187
+00:19:17,740 --> 00:19:18,080
+the
+
+188
+00:19:27,210 --> 00:19:33,750
+or eyes right
+
+189
+00:19:33,750 --> 00:19:48,830
+to left or up to down تمام هذا مفهوم ال parallax
+
+190
+00:19:48,830 --> 00:19:49,570
+of motion
+
+191
+00:19:54,240 --> 00:19:57,500
+ليش أنا جيبت ال parallax of motion؟ في عندنا
+
+192
+00:19:57,500 --> 00:20:01,820
+parallax errors مختلف تماما، أي بمعنى الأخطاء
+
+193
+00:20:01,820 --> 00:20:06,340
+الانكسارية اللي بتحدث خلال اللي هو قياس قيمة مين
+
+194
+00:20:06,340 --> 00:20:10,720
+ال BD سواء كان monocular أو اللي هو binocular BD
+
+195
+00:20:29,600 --> 00:20:38,020
+القياس الدقيق لقيمة ال IBD لابد ان يتم من خلال وضع
+
+196
+00:20:38,020 --> 00:20:42,220
+ال frame بالضبط على ال bridge
+
+197
+00:20:45,220 --> 00:20:50,520
+أو وضعه على أريح منطقة في اللي هو للشخص اللي احنا
+
+198
+00:20:50,520 --> 00:20:55,420
+سمناها ال crest فاكرينها؟ انه دايما بضعها على ال
+
+199
+00:20:55,420 --> 00:21:03,660
+crest انه تكون بشكل مريح لهذا المريض it
+
+200
+00:21:03,660 --> 00:21:08,500
+should also position the measuring plane at the
+
+201
+00:21:08,500 --> 00:21:16,230
+approximate spectacle planeفي كمان جهاز اسمه
+
+202
+00:21:16,230 --> 00:21:25,010
+Adestometer تمام؟
+
+203
+00:21:25,010 --> 00:21:30,570
+Adestometer إيش وظيفة الجهاز هذا؟
+
+204
+00:21:33,110 --> 00:21:37,450
+شايفين الـ Back Vertic Distance اللي هي من 12 ل 15
+
+205
+00:21:37,450 --> 00:21:40,650
+ملي، الآن احنا بنجيزها عن طريق مين؟ الـ
+
+206
+00:21:40,650 --> 00:21:47,330
+Autorefكراتوميتر قال لجهاز الاديستوميتر وضيفته انه
+
+207
+00:21:47,330 --> 00:21:50,210
+بيعمل عملية قياس للـ Back Vertic Distance
+
+208
+00:21:52,720 --> 00:21:58,140
+أذا ادستوميتر ميجار باك Vertical Distance فالان
+
+209
+00:21:58,140 --> 00:22:03,880
+انا لازم اقيس قيمة ال Spectacle Plane و لازم انه
+
+210
+00:22:03,880 --> 00:22:09,080
+تكون ملائمة لمين لهذا المريض يعني بحيث انه انا
+
+211
+00:22:09,080 --> 00:22:13,640
+احددها بالضبط قداش القيمة المناسبة او الملائمة له
+
+212
+00:22:39,140 --> 00:22:46,840
+الشخص سيشاهد رنق ورق أو ضوء خلق ضوء خلق ضوء خلق
+
+213
+00:22:46,840 --> 00:22:56,660
+ضوء خلق ضوء خلق ضوء خلق ضوء خلق ضوء خلق
+
+214
+00:22:56,660 --> 00:23:01,560
+ضوء
+
+215
+00:23:07,270 --> 00:23:13,470
+تمام الجهاز هي يما بمسكه المريض تمام بلاحظ عبارة
+
+216
+00:23:13,470 --> 00:23:18,390
+عن اللي هو ring ال ring هذه في داخلها دوق الدوق هو
+
+217
+00:23:18,390 --> 00:23:22,810
+بتطلع عليه مين ال patient بحيث انه يكون بشكل اللي
+
+218
+00:23:22,810 --> 00:23:28,950
+هو مستقيم هذا بنسميه ال papillometer انه two
+
+219
+00:23:40,960 --> 00:23:58,400
+measure of BD اذا
+
+220
+00:23:58,400 --> 00:24:04,020
+the subject أي بمعنى ال patient المريض will see a
+
+221
+00:24:04,020 --> 00:24:10,490
+ring انه هيشوف عبارة عن اللي هو دائرةof white or
+
+222
+00:24:10,490 --> 00:24:15,330
+colored light مضوية من اللي هو ال center okay
+
+223
+00:24:15,330 --> 00:24:21,690
+around a dark و حوالينها بالضبط اللي هو يعني dark
+
+224
+00:24:21,690 --> 00:24:28,550
+area يعني بالشكل هذا، الآن هي ال circle مضيقة من
+
+225
+00:24:28,550 --> 00:24:32,390
+المنتصف و هذا كله عبارة عن إيش؟ اللي هو dark area
+
+226
+00:24:39,890 --> 00:24:44,950
+central dot within the instrument بالضبط زي اللي
+
+227
+00:24:44,950 --> 00:24:48,070
+هو ال dot اللي موجود وين في جهاز اللي هو ال lens
+
+228
+00:24:48,070 --> 00:24:51,810
+meter مش فيه ال dot اللي بتشوفوها في المنتصف نفس
+
+229
+00:24:51,810 --> 00:24:56,490
+الحاجة بس هذا هيكون الإضاءة وين في داخل اللي هو
+
+230
+00:24:56,490 --> 00:24:59,630
+المنتصف و ال dark اللي حواليه في ال lens meter
+
+231
+00:24:59,630 --> 00:25:00,130
+العكس
+
+232
+00:25:04,120 --> 00:25:08,380
+The dispenser will see the subject's eye and a
+
+233
+00:25:08,380 --> 00:25:13,780
+scale appearing on it from which a direct measure
+
+234
+00:25:13,780 --> 00:25:20,480
+is read وظيفة اللي هو الآن الفاحس بعد ما المريض
+
+235
+00:25:20,480 --> 00:25:25,440
+بمسكها بمسك الجهاز بقرأ قداش قيمة اللي هو ال scale
+
+236
+00:25:25,440 --> 00:25:30,180
+انه بيكون مكتوب رقم ال number على اللي هو الجهاز
+
+237
+00:25:30,930 --> 00:25:35,510
+طبعاً بتديني monocular BD وأيضا اللي هو binocular
+
+238
+00:25:35,510 --> 00:25:40,330
+BD alternately
+
+239
+00:25:40,330 --> 00:25:45,830
+بالتبادل in some instruments a split image of the
+
+240
+00:25:45,830 --> 00:25:50,090
+pupil may be seen بعضها بتكونش يا جماعة عبارة عن
+
+241
+00:25:50,090 --> 00:25:54,730
+دائرة بتكون عبارة عن اللي هو split image يعني
+
+242
+00:25:54,730 --> 00:25:59,950
+وكأنه عبارة عن اللي هو خط هي اللي بتكون ظاهرةيعني
+
+243
+00:25:59,950 --> 00:26:06,650
+بدل ال ring بتكون اللي هو split image لكن الشائع
+
+244
+00:26:06,650 --> 00:26:11,770
+اللي هو بيكون عبارة عن circle هاي شايفين الان هاي
+
+245
+00:26:11,770 --> 00:26:16,630
+عندنا اتنين و ستين و نص هذا بيديني ايش ال
+
+246
+00:26:16,630 --> 00:26:21,870
+binocular BD عندنا واحد و تلاتين و نص و عندنا واحد
+
+247
+00:26:21,870 --> 00:26:25,950
+و تلاتين و نص
+
+248
+00:26:33,770 --> 00:26:36,650
+وهي زي ما انتوا شايفين عبارة عن اللي هو ال circle
+
+249
+00:26:36,650 --> 00:26:42,810
+تمام من المنتصف وعنا حوالينه بيكون اللي هو زي dark
+
+250
+00:26:42,810 --> 00:26:48,190
+فلازم تكون العين اللي هو straight ولازم انه
+
+251
+00:26:48,190 --> 00:26:53,130
+مايكونش فيه هناك اي تأذاح لمين لاللي هو عين المريض
+
+252
+00:26:53,130 --> 00:26:58,270
+طبعا مع الأطفال في هناك صعوبة في اللي هو استخدام
+
+253
+00:26:58,270 --> 00:26:59,270
+ال papillometer
+
+254
+00:27:05,520 --> 00:27:12,740
+النير بي دي يتطلب من النادرات الوحيدة للقراءة أو
+
+255
+00:27:12,740 --> 00:27:18,440
+للمعيارات المعيارات المعيارات المعيارات المعيارات
+
+256
+00:27:18,440 --> 00:27:18,820
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+257
+00:27:18,820 --> 00:27:19,240
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+258
+00:27:19,240 --> 00:27:20,760
+المعيارات المعيارات المعيارات المعيارات المعيارات
+
+259
+00:27:20,760 --> 00:27:25,460
+المعيارات المعيارات المعيارات
+
+260
+00:27:25,460 --> 00:27:26,720
+المعيارات
+
+261
+00:27:35,370 --> 00:27:41,570
+Okay for single vision reading glasses, the lenses
+
+262
+00:27:41,570 --> 00:27:47,170
+are set so that their optical centerswill be in
+
+263
+00:27:47,170 --> 00:27:51,670
+the lines of sight of the eye when the eyes are
+
+264
+00:27:51,670 --> 00:27:55,610
+converted for reading دايما يا جماعة لما انا بدي
+
+265
+00:27:55,610 --> 00:28:01,210
+احدد قيمة ال IBD لهذا المريض لازم اراعي موضوع ال
+
+266
+00:28:01,210 --> 00:28:06,150
+convergence اثناء القراءة تمام؟ عشان تكون ملائمة
+
+267
+00:28:06,150 --> 00:28:12,760
+ال optical center في حالة اللي هو ال near workThe
+
+268
+00:28:12,760 --> 00:28:18,380
+near PD can be either measured or calculated يمكن
+
+269
+00:28:18,380 --> 00:28:24,440
+اللي هو حسابها زي ما حكيتلكم من خلال انه بطرح قيمة
+
+270
+00:28:24,440 --> 00:28:28,840
+ال binocular PD اللي هي تاعة ال distance مثلا
+
+271
+00:28:28,840 --> 00:28:33,920
+سبعين بخسم منها أربعة هذه بيمثل ال 66 عبارة عن ال
+
+272
+00:28:33,920 --> 00:28:36,940
+near PD تمام؟
+
+273
+00:28:45,670 --> 00:28:53,510
+measuring near BD with a BD rule to measure the
+
+274
+00:28:53,510 --> 00:28:58,390
+near BD with a BD rule the dispenser is positioned
+
+275
+00:28:58,390 --> 00:29:04,450
+at the subject's working distance الان اما انا بده
+
+276
+00:29:04,450 --> 00:29:10,160
+اقيس ال monocular BD ل المريضطبعا for Norwegian
+
+277
+00:29:10,160 --> 00:29:14,300
+لازم اقعد على مسافة العمل اللي هو بيشتغل عليها،
+
+278
+00:29:14,300 --> 00:29:17,960
+يعني بسأله قبل انه جديش مسافة العمل بتاعتك، بقوللي
+
+279
+00:29:17,960 --> 00:29:22,580
+مثلا تلاتين صنطة، خمسة و تلاتين، اربعين، حسب مسافة
+
+280
+00:29:22,580 --> 00:29:29,880
+العمل بقوم باللي هو قياس قيمة ال BDThe dispenser
+
+281
+00:29:29,880 --> 00:29:35,920
+aligns his or her bitter eye directly before the
+
+282
+00:29:35,920 --> 00:29:41,420
+subject's nose and instructs the subject to look
+
+283
+00:29:41,420 --> 00:29:47,910
+into the open eyeدايما الفاحص ببدأ بالعين الأفضل
+
+284
+00:29:47,910 --> 00:29:52,770
+من ناحية اللي هو ال vision تمام وبرشد المريض أنه
+
+285
+00:29:52,770 --> 00:29:56,250
+يطلع سواء في ال right إذا بدأ اللي هو في ال left
+
+286
+00:29:56,250 --> 00:29:59,570
+أو اللي هو في ال left إذا بدأ بفحص اللي هو ال
+
+287
+00:29:59,570 --> 00:30:05,210
+right The PD rule is a line up the zero point
+
+288
+00:30:05,210 --> 00:30:08,730
+corresponding to the center of the subject's right
+
+289
+00:30:08,730 --> 00:30:13,340
+pupilأذا عنا بدنا نبدأ اللي هو في الـ scale من
+
+290
+00:30:13,340 --> 00:30:16,900
+اللي هو السفر هتكون على ال center of اللي هو pupil
+
+291
+00:30:16,900 --> 00:30:22,420
+تمام؟ زي بالضبط اللي هو four distance في العين
+
+292
+00:30:22,420 --> 00:30:27,620
+الأخرى هيكون عبارة عن ايه؟ ال scale الآخر يعني ال
+
+293
+00:30:27,620 --> 00:30:31,860
+scale الأول ال zero ال scale التاني هيكون على ال
+
+294
+00:30:31,860 --> 00:30:37,620
+another I هذا هيك بيكون قاسمين ال near PDthe
+
+295
+00:30:37,620 --> 00:30:43,000
+subject is not required to shift gears يعني لازم
+
+296
+00:30:43,000 --> 00:30:48,380
+انا اقول للمريض انه ماتحركش في اللي هو هالمعنات
+
+297
+00:30:48,380 --> 00:30:56,280
+اللي هو shift gears يعني عبارة عن up او down او
+
+298
+00:30:56,280 --> 00:31:04,480
+right او left gears يعني دايما يكون انه straight
+
+299
+00:31:04,480 --> 00:31:05,340
+مستقيم
+
+300
+00:31:15,540 --> 00:31:21,980
+ولازم الفاحص يحافظ على ان كلا العنتين ايضا يكونوا
+
+301
+00:31:21,980 --> 00:31:26,180
+في ال straight position طب لو واحد عنده squint
+
+302
+00:31:32,650 --> 00:31:36,430
+مية في المية بنعمل monocular PD تمام؟ طيب ليش
+
+303
+00:31:36,430 --> 00:31:44,470
+هالمصدرة حطها على ال spectacle plane؟ هاي شايفين
+
+304
+00:31:44,470 --> 00:31:53,190
+ال ruler حطها على ال spectacle plane، إيش السبب؟
+
+305
+00:31:53,190 --> 00:31:58,510
+قال لأنه أنا مابدأ أحط النضارة، المريض مش هي ..
+
+306
+00:31:58,510 --> 00:32:02,290
+يعني هيكون فيه هناك ال back vertic distanceيعني
+
+307
+00:32:02,290 --> 00:32:06,410
+الهدف من ذلك هو المحافظة على المسافة ما بين الـ
+
+308
+00:32:06,410 --> 00:32:09,170
+posterior surface of the limbs و ال anterior
+
+309
+00:32:09,170 --> 00:32:13,290
+surface of the cornea، بدهاش تكون اللي هو بشكل
+
+310
+00:32:13,290 --> 00:32:18,530
+مباشر، فعشان هي كمان أنا بدي أجي أقيس، لازم أحط
+
+311
+00:32:18,530 --> 00:32:23,890
+اللي هو على مسافة ال spectacle plane، طبعا هو بدأ
+
+312
+00:32:23,890 --> 00:32:30,310
+molecular، PDفي اللي هو ال right و من ثم او في ال
+
+313
+00:32:30,310 --> 00:32:34,050
+left من ثم اللي هو ال right وهي عندنا ال dispenser
+
+314
+00:32:34,050 --> 00:32:37,690
+و بدها تكون المسافة هي عبارة عن ال working
+
+315
+00:32:37,690 --> 00:32:41,750
+distance مثلا اربعين او خمسة و تلاتين او تلاتين
+
+316
+00:32:41,750 --> 00:32:47,970
+صنطة هذه بالاساس بتعتمد على مين على المريض in a
+
+317
+00:32:47,970 --> 00:32:55,150
+practice من ناحية عملية many who use a PD rule to
+
+318
+00:32:55,150 --> 00:33:01,040
+measureThe binocular distance BD measure the near
+
+319
+00:33:01,040 --> 00:33:07,940
+BD at the same time اذا من ناحية عملية ان اول حاجة
+
+320
+00:33:07,940 --> 00:33:13,580
+بقيس قيمة ال BD ومن ثم بقيس قيمة ال BD عفوا لا ال
+
+321
+00:33:13,580 --> 00:33:19,650
+monocular ومن ثم لل binocular او ممكن انا اقيسالـ
+
+322
+00:33:19,650 --> 00:33:24,030
+monocular و اضيف عليها ايش قيمة اللي هو يعني هتكون
+
+323
+00:33:24,030 --> 00:33:29,690
+العين الأخرى مساوية لمين للأولى تمام فهيديني نفس
+
+324
+00:33:29,690 --> 00:33:34,530
+الوقت اللي هو قيمة ايش ال IBD ككل ال both eyes
+
+325
+00:33:39,920 --> 00:33:44,340
+زي ما اتفقنا انه ع مسافة اربعين سانتي المريض او
+
+326
+00:33:44,340 --> 00:33:48,460
+الفاحص ببدأ بالعين اليمين و من ثم العين الشمال و
+
+327
+00:33:48,460 --> 00:33:55,100
+العين الأخرى بتكون اللي هو ثابتة من ناحية اللي هو
+
+328
+00:33:55,100 --> 00:34:00,380
+ال scale هنبدأ من الصفر و ال another اللي هو part
+
+329
+00:34:00,380 --> 00:34:04,360
+of the ruler هتكون على ال scale الآخر
+
+330
+00:34:06,870 --> 00:34:11,670
+تمام فهيك انا بكون اللي هو بقرأ قيمة قداش اللي هو
+
+331
+00:34:11,670 --> 00:34:15,890
+ال IPD سواء كانت monocular او اللي هو binocular PD
+
+332
+00:34:15,890 --> 00:34:22,850
+طيب
+
+333
+00:34:22,850 --> 00:34:29,610
+taking near PD using a pupillometer اللي هو الجهاز
+
+334
+00:34:29,610 --> 00:34:34,880
+او ال instrumentUsually a PD measuring instrument
+
+335
+00:34:34,880 --> 00:34:40,340
+will allow both distance and near PD to measured
+
+336
+00:34:40,340 --> 00:34:45,220
+يعني الجهاز قادر على قياس ال distance and near PD
+
+337
+00:34:45,220 --> 00:34:49,240
+والان بعض الأجهزة تنتين بيقيصوا ال near و ال
+
+338
+00:34:49,240 --> 00:34:53,680
+distance at the same time في نفس الوقت زي ما شوفنا
+
+339
+00:34:53,680 --> 00:35:01,740
+بديكي ال scale على نفس الجهازهذا مفهوم من خلال
+
+340
+00:35:01,740 --> 00:35:08,660
+استخدام مصمم للمصورة الداخلية التي تغير مقاطع
+
+341
+00:35:08,660 --> 00:35:15,560
+الصورة والتقاط للموضوعيمكن هذا الأمر اللي هو
+
+342
+00:35:15,560 --> 00:35:21,100
+إجراءه من خلال اللي هو تحريك العدسة الداخلية اللي
+
+343
+00:35:21,100 --> 00:35:24,880
+موجودة في الداخل اللي هو الجهاز أن ممكن أعمل اللي
+
+344
+00:35:24,880 --> 00:35:29,140
+هو convergence أو اللي هو divergence حسب المراد
+
+345
+00:35:29,140 --> 00:35:33,660
+the new readings are carried out ايش معنى carried
+
+346
+00:35:33,660 --> 00:35:39,920
+out؟يعني بمعنى be reformed يعني اللي هو بتجرى أو
+
+347
+00:35:39,920 --> 00:35:44,340
+بمعنى اللي هو donein the same manner at the same
+
+348
+00:35:44,340 --> 00:35:51,180
+reading إذا بتم اللي هو إجراء فحص أو قياس الـnear
+
+349
+00:35:51,180 --> 00:35:56,340
+BD نفس اللي هو طريقة مين فحص اللي هو ال distance
+
+350
+00:35:56,340 --> 00:36:00,120
+reading بس الخلاف الوحيد أني أنا بدي أعرف ال
+
+351
+00:36:00,120 --> 00:36:05,000
+working distance للمريض جديش عن هديك اللي بتكون
+
+352
+00:36:05,000 --> 00:36:09,780
+محددة هي عبارة عن أربعين ساطة في أي سؤال أي
+
+353
+00:36:09,780 --> 00:36:10,620
+استفسار؟
+
+354
+00:36:13,800 --> 00:36:16,960
+فبنقف ان شاء الله على النقطة هذه في المحاضرة
+
+355
+00:36:16,960 --> 00:36:18,780
+القادمة ان شاء الله بنكمل
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/XUp7148xZ2k_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/XUp7148xZ2k_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..e5434589357a892b64f579f10bc83cd5e7f54fc3
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/XUp7148xZ2k_postprocess.srt
@@ -0,0 +1,1924 @@
+1
+00:00:20,890 --> 00:00:23,950
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,950 --> 00:00:29,690
+وبركاته هنكمل ان شاء الله اليوم في موضوع ال frame
+
+3
+00:00:29,690 --> 00:00:36,290
+measurements and marking في المحاضرة السابقة بدأنا
+
+4
+00:00:36,290 --> 00:00:42,660
+في موضوعالـ Datum System والـ Boxing System
+
+5
+00:00:42,660 --> 00:00:48,260
+واتعرفنا على مصطلح الـ A Dimension والـ B
+
+6
+00:00:48,260 --> 00:00:54,360
+Dimension والـ C Dimension The difference between
+
+7
+00:00:54,360 --> 00:00:58,800
+the horizontal اذا اما اتكلم horizontal اذا بمعنى
+
+8
+00:00:58,800 --> 00:01:04,120
+ال A Dimension and the vertical measurements اللي
+
+9
+00:01:04,120 --> 00:01:09,660
+هي عبارة عن ال B Dimensionis known as the frame
+
+10
+00:01:09,660 --> 00:01:15,040
+difference انه الاختلاف ما بين الإطار طيب كيف ممكن
+
+11
+00:01:15,040 --> 00:01:21,580
+أنه نقيسها من خلال وحدة المليمتر يعني لو شوفنا هنا
+
+12
+00:01:21,580 --> 00:01:28,480
+مثال هاي عندنا مثلا التمانية وأربعين هاد بتمثل
+
+13
+00:01:28,480 --> 00:01:35,910
+إيه؟الـ A dimension تمام والـ 28 بتمثل الـ B
+
+14
+00:01:35,910 --> 00:01:43,130
+dimension الآن الـ A ناقص الـ B هي عبارة عن ايه ال
+
+15
+00:01:43,130 --> 00:01:47,030
+difference ما بين ال horizontal و ال vertical
+
+16
+00:01:47,030 --> 00:01:56,810
+measurement يعني عندنا 48 ناقص 28 بالساوية كده 20
+
+17
+00:01:56,810 --> 00:02:03,840
+ملي مترهذا الفرق ما بين اللي هو ال two meridian
+
+18
+00:02:03,840 --> 00:02:10,400
+The larger the difference, the more rectangular
+
+19
+00:02:10,400 --> 00:02:17,320
+the enclosing box appears الآن يا جماعة، كل مكان
+
+20
+00:02:17,320 --> 00:02:22,580
+الشكل اللي هو مستطيل أكتر، كل مكان الاختلاف ما بين
+
+21
+00:02:22,580 --> 00:02:27,910
+ال A والB أكتريعني الآن اتطلعوا هان مثلاً هان
+
+22
+00:02:27,910 --> 00:02:32,230
+تمانية و أربعين و تمانية و عشرين الآن و احنا ايش
+
+23
+00:02:32,230 --> 00:02:36,890
+ضغطناه شوية صار تمانية و أربعين او عفوا اللي هو
+
+24
+00:02:36,890 --> 00:02:40,470
+كبرناه شوية فأصبح تمانية و أربعين و تمانية و
+
+25
+00:02:40,470 --> 00:02:45,130
+تلاتين فصارت ايش قيمة ال A و ال B ايش مالها اكبيرة
+
+26
+00:02:45,130 --> 00:02:49,610
+فكل مكان مستطيل اكتر كل مكان اللي هو الفرق في
+
+27
+00:02:49,610 --> 00:02:55,010
+القيم ايش اكترframe difference is sometimes
+
+28
+00:02:55,010 --> 00:03:00,390
+referred to as lens difference إذا الإختلاف ما بين
+
+29
+00:03:00,390 --> 00:03:04,990
+اللي هو ال a dimension و ال b dimension أيضا في
+
+30
+00:03:04,990 --> 00:03:09,990
+بعض الأحيان بيشار له ال lens difference اختلاف
+
+31
+00:03:09,990 --> 00:03:15,810
+اللي هو ال dimension اللي هو أبعاد من العدسة
+
+32
+00:03:15,810 --> 00:03:20,330
+مستطيل
+
+33
+00:03:22,420 --> 00:03:26,180
+rectangular اللي هو مستطيل، كل مكان اللي هو
+
+34
+00:03:26,180 --> 00:03:30,620
+المستطيل أكبر، كل مكان الإختلاف أكبر ما بين الـA
+
+35
+00:03:30,620 --> 00:03:32,560
+وما بين اللي هو الـB
+
+36
+00:03:37,180 --> 00:03:42,640
+الـ boxing system also makes it possible to define
+
+37
+00:03:42,640 --> 00:03:47,960
+the distance between lenses الان لو احنا عملنا
+
+38
+00:03:47,960 --> 00:03:52,500
+geometric center من المنتصف و geometric center من
+
+39
+00:03:52,500 --> 00:03:56,900
+المنتصف المسافة ما بينهم هذي ايش بتمثل ليه؟ اللي
+
+40
+00:03:56,900 --> 00:04:01,840
+هي عبارة عن ال distance between lenses تمام؟ ال
+
+41
+00:04:01,840 --> 00:04:06,570
+distance between lensesis the distance between the
+
+42
+00:04:06,570 --> 00:04:11,310
+two boxes يعني المسافة ما بين ال two lenses او ال
+
+43
+00:04:11,310 --> 00:04:17,550
+two boxes when both lenses are boxed off in the
+
+44
+00:04:17,550 --> 00:04:21,770
+frame يعني ما يتم اللي هو تجيل العدسة في داخل مين
+
+45
+00:04:21,770 --> 00:04:28,550
+الإطار ايوة بس في حالة ما يتم اللي هو وضع العدسة
+
+46
+00:04:28,550 --> 00:04:32,130
+في داخل اللي هو الإطار بيصبح المسافة من ال center
+
+47
+00:04:32,130 --> 00:04:37,750
+ل center لمين؟ للعدسةالان يما انا بكون ال frame
+
+48
+00:04:37,750 --> 00:04:42,490
+بدون اللي هو عدسات هذا بنسمي اللي هو blank size
+
+49
+00:04:42,490 --> 00:04:46,730
+تمام؟ يما باخد من ال center لل center هذا بدون
+
+50
+00:04:46,730 --> 00:04:50,150
+عدسة مافيش اي عدسة فبنقول اللي هو distance between
+
+51
+00:04:50,150 --> 00:04:55,640
+boxing طيب في حالة وجود العدساتيعني يكون العدسة
+
+52
+00:04:55,640 --> 00:04:58,980
+موجودة في داخل الـ frame باخد بعلم العدسة من الـ
+
+53
+00:04:58,980 --> 00:05:03,400
+center للـ center لالعدسة اللي هو ايه فمديني اللي
+
+54
+00:05:03,400 --> 00:05:08,020
+هو distance between distance او اللي هو بنسميه الـ
+
+55
+00:05:08,020 --> 00:05:13,280
+frame bd ما بينهم okay الان احنا جاي نقله ال
+
+56
+00:05:13,280 --> 00:05:18,180
+bridge size اللي هي مسافة بس الوين هام المنطقة هذه
+
+57
+00:05:18,180 --> 00:05:23,980
+ال bridge اللي هي size او ال distance between lens
+
+58
+00:05:24,720 --> 00:05:30,820
+is measured on the frame يمكن قياسه على الإطار as
+
+59
+00:05:30,820 --> 00:05:36,660
+the distance from the inside nasal eye wire يعني
+
+60
+00:05:36,660 --> 00:05:40,620
+الآن من منطقة اللي هي ال nasal لل eye wire الأول
+
+61
+00:05:40,620 --> 00:05:49,000
+تمام بالشكل هذا من المنطقة هذه تمام لوين المنطقة
+
+62
+00:05:49,000 --> 00:05:55,000
+التانيةagross across the bridge area at the
+
+63
+00:05:55,000 --> 00:06:01,480
+norwest point المنطقة الضيقة هذه اللي بتمثل ال
+
+64
+00:06:01,480 --> 00:06:05,740
+bridge area هالي بنسميها bridge size او ال
+
+65
+00:06:05,740 --> 00:06:09,940
+distance between lenses ما بين اللي هو العدستين
+
+66
+00:06:13,070 --> 00:06:17,890
+طبعا ال bridge size او ال distance between lenses
+
+67
+00:06:17,890 --> 00:06:22,290
+هى وين بتكون موجودة؟ على الإطار نفسه يعني لازم على
+
+68
+00:06:22,290 --> 00:06:26,910
+ال timble بتاع الإطار و الآن هنشوفها انه لازم يكون
+
+69
+00:06:26,910 --> 00:06:32,850
+كتب لكياها يديش اللى هو القيمة الخاصة فيها شايفين
+
+70
+00:06:32,850 --> 00:06:41,060
+هى عندنا الآن المسافة ما بين اللى هوالـ two lenses
+
+71
+00:06:41,060 --> 00:06:45,380
+اللي هي بتمثل في ال bridge size عندنا من اللي هو
+
+72
+00:06:45,380 --> 00:06:49,920
+السفر للنقطة طبعا هذه اللي هو ال nasal ل اللي هو
+
+73
+00:06:49,920 --> 00:06:54,740
+ال nasal here قدشان القيمة؟ اتنين و عشرين قرأها
+
+74
+00:06:54,740 --> 00:06:58,580
+اللي هي في ال measurement okay الآن الاتنين و
+
+75
+00:06:58,580 --> 00:07:03,280
+عشرين انتوا عارفين العدسة inside the meanThe frame
+
+76
+00:07:03,280 --> 00:07:06,940
+يعني فيه لها جروف يعني بمعنى اخر لما احنا بنجس
+
+77
+00:07:06,940 --> 00:07:10,800
+العدسة بعد ذلك بنعمل لها جروف او اللي هو bevel
+
+78
+00:07:10,800 --> 00:07:15,120
+يعني بتكون داخل العدسة فالان هذا القيمة جديش واحد
+
+79
+00:07:15,120 --> 00:07:19,960
+ملي فبعد ما انا بقيس بطرح من القيمة واحد ملي يعني
+
+80
+00:07:19,960 --> 00:07:29,500
+بمعنى نص ملي من هنا minus نص ومن هنا minus نصهلجد
+
+81
+00:07:29,500 --> 00:07:36,320
+على ال ruler اللى هى المصدر قداش جانة القيمة اتنين
+
+82
+00:07:36,320 --> 00:07:39,920
+و عشرين طرحنا من هالنص و من هالنص اللى هو عبارة عن
+
+83
+00:07:39,920 --> 00:07:44,860
+واحد اذا القيمة جداش واحد و عشرين ملي هدى ال
+
+84
+00:07:44,860 --> 00:07:49,040
+bridge size هتلاقيها مكتوبة وين على ال temple بتاع
+
+85
+00:07:49,040 --> 00:07:54,470
+الإطارهي عندنا القيمة هي عبارة عن واحد ملي ال
+
+86
+00:07:54,470 --> 00:08:06,850
+bridge size او ال distance between lenses okay the
+
+87
+00:08:06,850 --> 00:08:12,630
+distance between the two geometric centers of the
+
+88
+00:08:12,630 --> 00:08:18,010
+lens of the lenses is known as the geometric
+
+89
+00:08:18,010 --> 00:08:19,790
+center distance
+
+90
+00:08:22,370 --> 00:08:26,230
+الان لو أخدنا منتصف العدسة من هنا من ال right و
+
+91
+00:08:26,230 --> 00:08:30,610
+منتصف العدسة من ال left المسافة ما بينهم هذه بتمثل
+
+92
+00:08:30,610 --> 00:08:35,690
+ال geometric center distance او ال frame BD او ال
+
+93
+00:08:35,690 --> 00:08:40,750
+boxing اللي هو center distance okay it can be
+
+94
+00:08:40,750 --> 00:08:46,640
+measuredIt can be measured more easily as the
+
+95
+00:08:46,640 --> 00:08:51,040
+distance from the far left side of one lens
+
+96
+00:08:51,040 --> 00:08:56,000
+opening to the far left side of the other ممكن
+
+97
+00:08:56,000 --> 00:09:00,980
+الآن هاي الإطار أمامي من اليمين تمام المنطقة
+
+98
+00:09:00,980 --> 00:09:07,260
+الأخيرة لحد دي ايش ال rim اللي هو الأول للعنصر
+
+99
+00:09:07,260 --> 00:09:09,620
+التاني يعني الشكل
+
+100
+00:09:12,920 --> 00:09:18,020
+هذه هلجيت مش هان فيه ممكن اخدها من هان ال rim هذا
+
+101
+00:09:18,020 --> 00:09:22,420
+لحد ديت ال rim هذا هذي بتمثل عبارة عن مين اللي هو
+
+102
+00:09:22,420 --> 00:09:26,100
+ال boxing center distance او ال geometric center
+
+103
+00:09:26,100 --> 00:09:30,060
+distance طبعا انا لو مااخدتش من وين من ال center ل
+
+104
+00:09:30,060 --> 00:09:34,740
+ال center okay يعني هذي بتعتبر اللي هو اسهل وين
+
+105
+00:09:34,740 --> 00:09:39,860
+اسهل لو كان انا ماعنديش عدسات بالشكل هذامافيش عدسة
+
+106
+00:09:39,860 --> 00:09:45,800
+في داخل الإطار باخد من الرم الخارجي للرم الداخلي
+
+107
+00:09:45,800 --> 00:09:51,040
+من ال right لل left أو من ال left لل right هنطبق
+
+108
+00:09:51,040 --> 00:09:59,740
+هذه الشيء بشكل عملي اليوم إن شاء الله في المعمل Or
+
+109
+00:09:59,740 --> 00:10:06,180
+adding the I size to theDistance between lenses أو
+
+110
+00:10:06,180 --> 00:10:10,040
+بدنا نضيف اللي هو قولنا ال I size عبارة عن إيش
+
+111
+00:10:10,040 --> 00:10:16,400
+بالضبط اللي هو ال A dimension بدنا نعمل إضافة لها
+
+112
+00:10:16,400 --> 00:10:21,340
+لمين لل distance اللي هي between lenses اللي هي
+
+113
+00:10:21,340 --> 00:10:23,000
+عبارة عن ال frame BD
+
+114
+00:10:25,540 --> 00:10:32,880
+طيب الآن الـ geometric center distance فيه مسميات
+
+115
+00:10:32,880 --> 00:10:37,800
+أخرى هي عبارة عن ال distance between lenses
+
+116
+00:10:37,800 --> 00:10:42,320
+المسافة ما بين اللي هو العدستين أو بنسميها ال
+
+117
+00:10:42,320 --> 00:10:47,760
+frame BD أو بنسميها ال frame center distance كل
+
+118
+00:10:47,760 --> 00:10:51,640
+هذه عبارة عن another name لمين لـgeometric center
+
+119
+00:10:51,640 --> 00:10:56,160
+distance أو ال boxing اللي هو center distanceOkay
+
+120
+00:10:56,160 --> 00:11:01,720
+The
+
+121
+00:11:01,720 --> 00:11:07,320
+term frame PD is commonly used in dispensing دايما
+
+122
+00:11:07,320 --> 00:11:12,000
+ال frame PD تع العدسة أو تع الإطار احنا وين
+
+123
+00:11:12,000 --> 00:11:15,220
+بنستخدمه؟ في عملية قص النضارة
+
+124
+00:11:28,100 --> 00:11:33,000
+وهو ما بيقولش علاقة في مين في ال IBD بتاع المريض
+
+125
+00:11:33,000 --> 00:11:36,220
+لكن وقت إيش بيصير التنين في بينهم relationship
+
+126
+00:11:36,220 --> 00:11:40,660
+يعني مثلا المريض عنده زي ما أخدنا المثال السابق
+
+127
+00:11:42,270 --> 00:11:47,690
+مثال انه بيكون عنده الـ IBD 62 والـ frame PD 72
+
+128
+00:11:47,690 --> 00:11:51,090
+الفرق ما بينهم عشان نعمل ايه الـ Decentration
+
+129
+00:11:51,090 --> 00:11:56,170
+تمام؟ لكن في الوضع الطبيعي مافيش فيه اي تعلاقة ما
+
+130
+00:11:56,170 --> 00:12:00,130
+بين قيمة الـ frame PD والـ IBD لأن هذا هيكون
+
+131
+00:12:00,130 --> 00:12:04,390
+للإطار وهذا متعلق في مين؟ في اللي هو ال IBD بتاع
+
+132
+00:12:04,390 --> 00:12:04,790
+ال patient
+
+133
+00:12:11,190 --> 00:12:16,230
+هي عندنا الشكل هذا طبعا اللي حكيتلكم عنه اللي هو
+
+134
+00:12:16,230 --> 00:12:19,490
+الـ Geometric Center Distance أو الـ Frame بيدي
+
+135
+00:12:19,490 --> 00:12:25,950
+باخد من الطرف هذا لطرف هذا اللي هو الـ Frameيعني
+
+136
+00:12:25,950 --> 00:12:32,550
+من ال outside هنا لل outside هنا أو مثلا من ال
+
+137
+00:12:32,550 --> 00:12:39,110
+outside هذا لل outside تاع الإطار الآخر أو مثلا من
+
+138
+00:12:39,110 --> 00:12:42,330
+ال center لل center اللي هو عبارة عن ال geometric
+
+139
+00:12:42,330 --> 00:12:46,730
+center distance أو ال frame بيدي أو ال distance
+
+140
+00:12:46,730 --> 00:12:48,290
+between center
+
+141
+00:12:53,180 --> 00:12:58,120
+طيب، الآن هنتقل لموضوع ال timble اللي هو length
+
+142
+00:12:58,120 --> 00:13:04,980
+طول اللي هو مين ال timble أو ال side Most timbles
+
+143
+00:13:04,980 --> 00:13:09,840
+are currently marked with the total or overall
+
+144
+00:13:09,840 --> 00:13:16,860
+timble length يعني الآن احنا بنشير لكل اللي هو طول
+
+145
+00:13:16,860 --> 00:13:20,700
+ال side أو ال timble هو عبارة عن ال timble length
+
+146
+00:13:21,760 --> 00:13:25,320
+الـ total اللي هو timbre length أو ال overall
+
+147
+00:13:25,320 --> 00:13:31,480
+timbre اللي هو length okay? timbre length may be
+
+148
+00:13:31,480 --> 00:13:35,340
+measured in one of the following ways يعني يمكن
+
+149
+00:13:35,340 --> 00:13:40,800
+اللي هو قياسه بإحدى اللي هو الطرق كيف طيب؟ the
+
+150
+00:13:40,800 --> 00:13:46,960
+overall timbre length is the distance from the
+
+151
+00:13:46,960 --> 00:13:47,720
+center
+
+152
+00:13:51,820 --> 00:13:56,980
+of the center of the center barrel screw شايفين هي
+
+153
+00:13:56,980 --> 00:14:03,200
+منتصف اللي هو مين ال screw هذا لنهاية اللي هو مين
+
+154
+00:14:03,200 --> 00:14:08,500
+ال bend الميلان الخاص في ال timble هذه المسافة كل
+
+155
+00:14:08,500 --> 00:14:12,600
+هيتا ايش بتمثل ليه ال overall timble اللي هو
+
+156
+00:14:12,600 --> 00:14:18,100
+length اذا من منتصف اللي هو ال screw هذا لنهاية
+
+157
+00:14:18,100 --> 00:14:19,080
+اللي هو الميلان
+
+158
+00:14:34,670 --> 00:14:41,310
+النهاية مين الميلان؟طيب major along the center of
+
+159
+00:14:41,310 --> 00:14:46,550
+the temple أو بنسمي اللي هو ال total length of
+
+160
+00:14:46,550 --> 00:14:58,610
+temple أو بنسمي ال overall length of temple كان
+
+161
+00:14:58,610 --> 00:15:04,400
+في طريقةيعني اللي هي قديما او اللي هو older system
+
+162
+00:15:04,400 --> 00:15:09,260
+او older اللي هو method من خلالها بتم اللي هو قياس
+
+163
+00:15:09,260 --> 00:15:15,280
+ال length to bend يعني بس اللي هو المنطقة المائلة
+
+164
+00:15:15,280 --> 00:15:18,880
+تمام؟
+
+165
+00:15:18,880 --> 00:15:23,000
+an old .. an older method of measuring temple
+
+166
+00:15:23,000 --> 00:15:27,620
+length is in terms of the length to bend
+
+167
+00:15:30,490 --> 00:15:35,690
+length الهو timble bend يعني فقط اللي هو من منطقة
+
+168
+00:15:35,690 --> 00:15:40,410
+الميلان هذه لحد ديت اللي هو النهاية هذه عبارة عن
+
+169
+00:15:40,410 --> 00:15:52,370
+مين؟ ال length timble اللي هو bend length timble
+
+170
+00:15:52,370 --> 00:15:56,250
+bend
+
+171
+00:15:57,870 --> 00:16:04,950
+هذه كانت طريقة قديمة لقياس من اللي هو فقط المسافة
+
+172
+00:16:04,950 --> 00:16:11,550
+هذه دون اللي هو الجزء الآخر لكن اللي بيكون مكتوب
+
+173
+00:16:11,550 --> 00:16:15,330
+على الإطار الآن كله اللي هو ال timbre length كامل
+
+174
+00:16:15,330 --> 00:16:19,190
+بتلاقي رقم مثلا مية و خمسة و عشرين او مية و تلاتين
+
+175
+00:16:19,190 --> 00:16:23,010
+اي واحدة فيكم لابسة نضارة تطلع على الرقم بتلاقي ال
+
+176
+00:16:23,010 --> 00:16:26,430
+code مكتوب مية و كذا هذا بمعنى اللي هو ال total
+
+177
+00:16:26,780 --> 00:16:34,400
+Length الهو ايه تمبل تمام او
+
+178
+00:16:34,400 --> 00:16:44,400
+بياخدها من اللي هو ال screw لنهاية من ال bend طبعا
+
+179
+00:16:44,400 --> 00:16:48,680
+في هناك اللي هو مصطرة خاصة لعملية اللي هو القياس
+
+180
+00:16:48,680 --> 00:16:53,660
+سواء كان ال total اللي هو length تمبل او اللي هو
+
+181
+00:16:54,150 --> 00:17:01,370
+الـ Timble اللي هو فقط Bend okay
+
+182
+00:17:01,370 --> 00:17:08,470
+most frames are marked according to size with
+
+183
+00:17:08,470 --> 00:17:14,290
+three measurements يعني معظم اللي هو الإطارات بتم
+
+184
+00:17:14,290 --> 00:17:18,690
+اللي هو تعليمها بناء على تلت اللي هو مقاييس
+
+185
+00:17:18,690 --> 00:17:24,740
+المقياس الأول ال I size اللي هو بيمثلالـ A
+
+186
+00:17:24,740 --> 00:17:29,420
+dimension تمام النقطة التانية ال distance between
+
+187
+00:17:29,420 --> 00:17:36,040
+lenses اللي هو بيمثل مين ال frame BD تمام و ال
+
+188
+00:17:36,040 --> 00:17:40,560
+temple length اللي هو عبارة عن طول إيش ال side
+
+189
+00:17:40,560 --> 00:17:44,760
+الخاص في اللي هو الإطار التلت معلومات هدول جماعة
+
+190
+00:17:44,760 --> 00:17:48,520
+بيكونوا مكتوبات وين على ال temple الخاص في اللي هو
+
+191
+00:17:48,520 --> 00:17:49,660
+ال frame طيب
+
+192
+00:17:53,770 --> 00:17:59,890
+when a frame marking such as طبعا هذه بتقرأ fifty
+
+193
+00:17:59,890 --> 00:18:06,330
+مربع اللي هو twenty الان مجموعهم ايش بيكون يعني
+
+194
+00:18:06,330 --> 00:18:10,550
+الخمسين زائد العشرين بيدين ال frame بيدي او ال
+
+195
+00:18:10,550 --> 00:18:13,810
+geometric center distance او ال distance between
+
+196
+00:18:13,810 --> 00:18:19,270
+lenses تمام؟ خلينا نقول ال frame بيدي يعني عندنا
+
+197
+00:18:19,270 --> 00:18:23,110
+العشرين او الخمسين زائد العشرين
+
+198
+00:18:30,070 --> 00:18:37,470
+اللي هو بساوي سبعين ملي ميتر هذا بيمثل ال frame BD
+
+199
+00:18:37,470 --> 00:18:43,070
+اللي هو عبارة عن ال distance between lenses it
+
+200
+00:18:43,070 --> 00:18:47,810
+means that the eye size ال eye size يعني إيش
+
+201
+00:18:47,810 --> 00:18:52,390
+المقصود فيها ال a dimension تمام جدّيش ال a
+
+202
+00:18:52,390 --> 00:19:00,100
+dimension اللي هي الخمسين أو ال eye sizeوالتقارير
+
+203
+00:19:00,100 --> 00:19:07,820
+بين الانزلات البرج
+
+204
+00:19:07,820 --> 00:19:14,300
+صفر الانزلات البرج صفر الانزلات البرج صفر الانزلات
+
+205
+00:19:14,300 --> 00:19:17,960
+البرج
+
+206
+00:19:17,960 --> 00:19:20,280
+صفر
+
+207
+00:19:22,040 --> 00:19:26,900
+و أي تأيطار لابد ان انت تشريه لازم ان يكون مكتوب
+
+208
+00:19:26,900 --> 00:19:32,840
+عليه عندنا واحد ال distance اللي هو between lenses
+
+209
+00:19:32,840 --> 00:19:37,820
+ال eye size او ال a dimension بالاضافة ل ال bridge
+
+210
+00:19:37,820 --> 00:19:38,580
+size
+
+211
+00:19:47,610 --> 00:19:52,350
+الـ eye size and distance between lenses are
+
+212
+00:19:52,350 --> 00:20:02,170
+sometimes simply marked 50-20 or 50 over 20 يعني
+
+213
+00:20:02,170 --> 00:20:05,910
+في أكتر من اللي هو ال style يمكن اللي هو عليه
+
+214
+00:20:05,910 --> 00:20:10,530
+كتابة إيش ال eye size ال a dimension أو ال a
+
+215
+00:20:10,530 --> 00:20:14,430
+dimension بالإضافة لل distance between lenses و ال
+
+216
+00:20:14,430 --> 00:20:20,050
+frame bdيعني اي طريقة من هدول شايفين؟ هذه الـ140
+
+217
+00:20:20,050 --> 00:20:26,530
+ايش بتمثل؟ ال over all تمبل اللي هو length هيك
+
+218
+00:20:26,530 --> 00:20:31,970
+بدنا نحفظهم over all تمام تمبل اللي هو length او
+
+219
+00:20:31,970 --> 00:20:37,070
+ال total تمبل length عندنا هيهان خمسين تمام
+
+220
+00:20:37,070 --> 00:20:44,190
+الخمسين هذه ايش بتمثل؟الـ I size مربع اللي هو مثلا
+
+221
+00:20:44,190 --> 00:20:50,090
+16 ايش بتمثل او ال bridge size المجموع بتاعهم ايش
+
+222
+00:20:50,090 --> 00:20:56,010
+بيمثل ال frame بيدي طيب
+
+223
+00:20:56,010 --> 00:21:01,430
+عندنا measuring the intra pupillary distance قياس
+
+224
+00:21:01,430 --> 00:21:07,670
+المسافة ما بين اللي هو ايه العين و الأخرى بالنسبة
+
+225
+00:21:07,670 --> 00:21:16,890
+للمريضيعني بمعنى ال IPD The anatomic PD or
+
+226
+00:21:16,890 --> 00:21:22,130
+pupillary distance is the distance from the center
+
+227
+00:21:22,130 --> 00:21:28,210
+of one pupil to the center of the other pupil يعني
+
+228
+00:21:28,210 --> 00:21:33,230
+المسافة ما بين منتصف اللي هو العين اليمنى لمنتصف
+
+229
+00:21:33,230 --> 00:21:38,630
+اللي هو العين اليسرةكيف بيقاس بال millimeters?
+
+230
+00:21:41,830 --> 00:21:45,530
+before ordering
+
+231
+00:21:45,530 --> 00:21:50,330
+a prescription glasses يعني قبل ما أنا بدي أوصف
+
+232
+00:21:50,330 --> 00:21:57,410
+اللي هو وصفة النضارةor even before doing a visual
+
+233
+00:21:57,410 --> 00:22:01,530
+examination أو قبل ما انا بدي اعمل اللي هو فحص طبي
+
+234
+00:22:01,530 --> 00:22:06,090
+طبعا هان ال visual examination ممكن مثلا من خلال
+
+235
+00:22:06,090 --> 00:22:14,710
+ال trial a frame صح ولا لأ زي ما احنا بنعمل او من
+
+236
+00:22:14,710 --> 00:22:16,090
+خلال الفوربتر
+
+237
+00:22:19,940 --> 00:22:24,260
+أي visual examination بواحدة من هدول الطرق، يعني
+
+238
+00:22:24,260 --> 00:22:28,320
+سواء كان objective أو subjective method، the
+
+239
+00:22:28,320 --> 00:22:32,680
+distance between the pupils must be determined
+
+240
+00:22:32,680 --> 00:22:40,680
+لازم أنا أحدد قداش قيمة مين ال IBD بتاعة المريضإذا
+
+241
+00:22:40,680 --> 00:22:47,540
+الخطوة الأولى قبل ما يتم وصف أي نضارة للمريض لابد
+
+242
+00:22:47,540 --> 00:22:54,540
+من تحديد ال IBD أو ال BD لهذا الشخص
+
+243
+00:22:54,540 --> 00:23:01,860
+it can be measured in variety of ways هناك طرق
+
+244
+00:23:01,860 --> 00:23:09,330
+مختلفة لقياس مينالـ IBD اما عن طريق اللي هو
+
+245
+00:23:09,330 --> 00:23:13,270
+المصطرة تمام او مثلا عن طريق الـ autorif
+
+246
+00:23:13,270 --> 00:23:20,090
+keratometer او ممكن مثلا عن طريق اللي هو .. نعم او
+
+247
+00:23:20,090 --> 00:23:23,890
+اللي هو ممكن جهاز البابلوميتر اللي هناخده في اللي
+
+248
+00:23:23,890 --> 00:23:26,570
+هو معمل الـ dispensing ان شاء الله فيما بعد
+
+249
+00:23:30,780 --> 00:23:36,400
+طيب failure to accurately determine the intra
+
+250
+00:23:36,400 --> 00:23:41,560
+pupillary distance الان انا قصد ال IBD لكن كان غير
+
+251
+00:23:41,560 --> 00:23:47,420
+صحيح او كان قياس ال IBD غير اللي هو واقعي او غير
+
+252
+00:23:47,420 --> 00:23:54,060
+دقيق تمام ايش هذا بينتج? Misplacement of the
+
+253
+00:23:54,060 --> 00:23:58,460
+optical center of the lenses المريض مش هيطلع من
+
+254
+00:23:58,460 --> 00:24:04,370
+وين؟من ال optical center of a lens يعني هان
+
+255
+00:24:04,370 --> 00:24:09,450
+النتيجة ان لو انا مثلا ماكنش في هناك تواؤم ما بين
+
+256
+00:24:09,450 --> 00:24:15,490
+ال IBD بتاع ال patient وال frame BD اذا هيصبح هناك
+
+257
+00:24:15,490 --> 00:24:19,330
+عدم القدرة على الرؤية من خلال ال optical center of
+
+258
+00:24:19,330 --> 00:24:26,660
+a lens اضافة إلى ذلكthis induces أي بمعنى انه this
+
+259
+00:24:26,660 --> 00:24:32,780
+impacts اي بيؤثر okay unwanted prismatic effect
+
+260
+00:24:32,780 --> 00:24:38,860
+اذا هذا بيعمل تأثير منشور تمام requiring the
+
+261
+00:24:38,860 --> 00:24:45,760
+wearer to turn his eyes inward or even outwardto
+
+262
+00:24:45,760 --> 00:24:51,640
+keep from experiencing double vision غير التأثير
+
+263
+00:24:51,640 --> 00:24:55,760
+المنشور أيضا بيصير عند المريض اللي هي مصطلح ايه
+
+264
+00:24:55,760 --> 00:25:02,400
+الدبلوبيا أي
+
+265
+00:25:02,400 --> 00:25:07,080
+بمعنى الرؤية المزدوجة او ما يسمى بال double vision
+
+266
+00:25:12,760 --> 00:25:18,440
+إذا عدم الدقة في قياس ال IPD بيؤدي إلى الـ
+
+267
+00:25:18,440 --> 00:25:24,320
+Prismatic Effect بالإضافة لموضوع اللي هو الدبلوبيا
+
+268
+00:25:24,320 --> 00:25:32,840
+أو ال double vision over
+
+269
+00:25:32,840 --> 00:25:41,130
+time this effort causes visual discomfortيعني مع
+
+270
+00:25:41,130 --> 00:25:46,550
+اللي هو الوقت بيصبح الرؤية غير مريحة مع مرور الوقت
+
+271
+00:25:46,550 --> 00:25:51,730
+and can result in a decreased ability of the eyes
+
+272
+00:25:51,730 --> 00:25:56,130
+to work together in binocular vision أيضًا بتصبح
+
+273
+00:25:56,130 --> 00:26:02,510
+العنتين غير قادرة على العمل مع بعض من خلال اللي هو
+
+274
+00:26:02,510 --> 00:26:07,130
+ليش؟ أن السبب في ذلك اللي هو عدم التواؤم ما بين ال
+
+275
+00:26:07,130 --> 00:26:09,690
+IPD و ال frame PD للشخص
+
+276
+00:26:13,370 --> 00:26:19,850
+إذا عدم القدرة على العمل مع بعض الـ two eyes
+
+277
+00:26:19,850 --> 00:26:28,200
+distance IBD عندنا binocular BDبداية احنا اما
+
+278
+00:26:28,200 --> 00:26:34,380
+بنفحص binocular او monocular IBD هناخد احنا ال
+
+279
+00:26:34,380 --> 00:26:38,280
+binocular دايما ال binocular ليش بنحتاجها الاكتر
+
+280
+00:26:38,280 --> 00:26:42,540
+لل distance صح ولا لأ يعني هنا binocular BD for
+
+281
+00:26:42,540 --> 00:26:48,480
+distance correction okay binocular
+
+282
+00:26:48,480 --> 00:26:55,280
+BD the most common method used to measure the BD
+
+283
+00:26:56,400 --> 00:27:02,180
+with the least amount of equipment uses a simple
+
+284
+00:27:02,180 --> 00:27:07,480
+millimeter ruler commonly referred to as a BD rule
+
+285
+00:27:07,480 --> 00:27:15,820
+يعني بقضية أو اللي هو أداء بسيطة تمام يمكن قياس ال
+
+286
+00:27:15,820 --> 00:27:21,330
+IBD من خلال اللي هو المصطرةهذا الـ ruler المصدرة
+
+287
+00:27:21,330 --> 00:27:26,630
+هي فقط اللي هو معدّى لهذا الأمر لقياس ال IBD
+
+288
+00:27:26,630 --> 00:27:31,310
+للأشخاص طيب
+
+289
+00:27:31,310 --> 00:27:36,830
+كيف التكنيك أو ال method الطريقة number one the
+
+290
+00:27:36,830 --> 00:27:42,850
+dispenser should be positioned at a distance of 40
+
+291
+00:27:42,850 --> 00:27:50,120
+cm from subject إذا لازم المسافة ما بينالمريض و
+
+292
+00:27:50,120 --> 00:27:54,720
+الفاحص او الأخصائي تكون جداش اربعين صانتي، هذي
+
+293
+00:27:54,720 --> 00:28:02,900
+واحد تمام؟ both at the same vertical level التنين
+
+294
+00:28:02,900 --> 00:28:06,560
+يكونوا على مستوى واحد، بمعنى مش واحد جاعد على كرسي
+
+295
+00:28:06,560 --> 00:28:10,480
+أعلى من التاني أو العكس لأن ممكن اختلاف ال degree
+
+296
+00:28:10,480 --> 00:28:14,740
+يؤدي إلى اختلاف في القيم الخاصة في ال IBD
+
+297
+00:28:18,750 --> 00:28:24,950
+The PD rule is positioned across the subject's
+
+298
+00:28:24,950 --> 00:28:31,570
+nose. It tilted back rests on the most recessed
+
+299
+00:28:31,570 --> 00:28:36,750
+part of the nose دايما بدنا نتعود احنا كفاحصين يما
+
+300
+00:28:36,750 --> 00:28:41,980
+نحط المصدرة نحطها في أريح مكان للمريضطبعا اما
+
+301
+00:28:41,980 --> 00:28:45,820
+بنحطها في ال nose part تمام او اللي هو في ال
+
+302
+00:28:45,820 --> 00:28:49,400
+bridge area بس بدها تكون مريحة بالنسبة لمن؟
+
+303
+00:28:49,400 --> 00:28:58,120
+للمريض، هذه أهم شيء نضمنه عشان يتعاون معاه The
+
+304
+00:28:58,120 --> 00:29:03,920
+dispenser closes the right eye and sides with the
+
+305
+00:29:03,920 --> 00:29:10,230
+leftالان بالنسبة له الفاحس okay بده يغلق اللي هو
+
+306
+00:29:10,230 --> 00:29:14,910
+العين مين؟ اليمين ال right ويفتح in sight يعني
+
+307
+00:29:14,910 --> 00:29:20,010
+ينظر بالعين اللي هو الشمال يعني الان مش هو أمامي،
+
+308
+00:29:20,010 --> 00:29:23,730
+بدي أغلق اللي هو اليمين و أطلع في مين؟ في الشمال
+
+309
+00:29:23,730 --> 00:29:27,170
+okay بالسمع
+
+310
+00:29:28,430 --> 00:29:32,830
+عشان أعمل تمركز بالضبط للقيمة، يعني قيمة المصطرة
+
+311
+00:29:32,830 --> 00:29:36,650
+تكون السفر تاع المصطرة أو ال score تاحة بالضبط
+
+312
+00:29:36,650 --> 00:29:40,690
+جاية على مين ال center of اللي هو pupil، هاي الهدف
+
+313
+00:29:40,690 --> 00:29:45,730
+من ذلك The
+
+314
+00:29:45,730 --> 00:29:50,710
+subject is instructed to look at the dispenser's
+
+315
+00:29:50,710 --> 00:29:57,030
+open eye while the dispenser lines up the zeromark
+
+316
+00:29:57,030 --> 00:30:00,790
+of the rule with the center of the subject's pupil
+
+317
+00:30:00,790 --> 00:30:04,950
+الان انا بدي افتح عيني بعد ما احط اللي هو ال score
+
+318
+00:30:04,950 --> 00:30:09,610
+او التدريج بتاع المصطرة وين موازي لل center بتاع
+
+319
+00:30:09,610 --> 00:30:16,590
+ال pupil الخاصة في عين المريض بفتح اللي هو العين و
+
+320
+00:30:16,590 --> 00:30:21,640
+نفس العملية وين هعملها؟ في ال another eyeعندما
+
+321
+00:30:21,640 --> 00:30:28,860
+يكون الـ Zero Mark مرتبط بشكل صحيح، يقفز العين
+
+322
+00:30:28,860 --> 00:30:34,720
+اليمنى و يفتح العين
+
+323
+00:30:34,720 --> 00:30:36,080
+اليمنى
+
+324
+00:30:50,160 --> 00:30:54,700
+طبعا على ال center of اللي هو pupil و بعد ذلك اللي
+
+325
+00:30:54,700 --> 00:31:01,580
+هو فتح العين الأولى و من ثم أغلق التانية و بعد ذلك
+
+326
+00:31:01,580 --> 00:31:05,340
+فتح التانية و أغلق اللي هو الأولى لحد ما صار اللي
+
+327
+00:31:05,340 --> 00:31:10,340
+هو ال ruler win على اللي هو القيمة ستين إذا أدى
+
+328
+00:31:10,340 --> 00:31:16,080
+اللي هو قيمة ال IBD عند اللي هو ستين ملي متر طبعا
+
+329
+00:31:16,080 --> 00:31:19,460
+اه اه طبعا
+
+330
+00:31:22,940 --> 00:31:26,560
+زي بالضبط إنت ماتعملي retinoscope الصح إنك تعملي
+
+331
+00:31:26,560 --> 00:31:29,920
+right right left left صح ولا لأ؟ إيش بتعمليه؟ a
+
+332
+00:31:29,920 --> 00:31:36,300
+close of one eye مش هيكي بنعمله طيب ال subject is
+
+333
+00:31:36,300 --> 00:31:42,160
+instructed to look at the dispensers open eye
+
+334
+00:31:42,160 --> 00:31:48,840
+دايما احنا بدنا نرشد المريض إنه ينظر بعين الفاحص
+
+335
+00:31:48,840 --> 00:31:55,630
+اللي هي مفتوحة okayلأن ممكن انت بتعمل الفحص هو
+
+336
+00:31:55,630 --> 00:31:59,910
+يكون عامل ايه؟ deviation انحراف او بمعنى اخر هو ما
+
+337
+00:31:59,910 --> 00:32:04,690
+بتطلع عليها فهيك الفحص هيكون في عندنا visual angle
+
+338
+00:32:04,690 --> 00:32:10,670
+زاوية اللي هو هتغير فيه القيمة ال BD for the
+
+339
+00:32:10,670 --> 00:32:15,740
+distance a prescription is read ofيعني قيمة اللي
+
+340
+00:32:15,740 --> 00:32:22,060
+هو الـ BD بتقرأ read of بمعنى تقرأ as that mark
+
+341
+00:32:22,060 --> 00:32:26,320
+falling in the center of the subjects left pupil
+
+342
+00:32:26,320 --> 00:32:31,180
+يعني القيمة هتقرأ لما تكون المسطرة في الطرف الآخر
+
+343
+00:32:31,180 --> 00:32:35,000
+أو في العين التانية في ال center لال pupil الخاص
+
+344
+00:32:35,000 --> 00:32:35,340
+بيها
+
+345
+00:32:40,060 --> 00:32:46,080
+The dispenser now closes the right eye and opens
+
+346
+00:32:46,080 --> 00:32:50,360
+the left طب ليش بده يعكس ما بين العنتين؟ يعني بده
+
+347
+00:32:50,360 --> 00:32:54,280
+يعمل alternative تبادل عشان يقرأ القيمة صح ولا لأ؟
+
+348
+00:32:54,280 --> 00:32:59,540
+بالضبطزي ما عملنا هان بتضبط القيمة على السفر بدي
+
+349
+00:32:59,540 --> 00:33:03,100
+اعمل اغلاق هناك عشان يقرأ القيمة بالضبط زي الان
+
+350
+00:33:03,100 --> 00:33:07,420
+انت ال red reflex يما تفتح العنتين من ال hall او
+
+351
+00:33:07,420 --> 00:33:11,060
+ال aperture تاع ال written scope بيكونش واضح لكن
+
+352
+00:33:11,060 --> 00:33:14,860
+اعمل close of one eye بصير اكتر وضوح اللي هو كرؤية
+
+353
+00:33:14,860 --> 00:33:16,780
+تمام؟ وهنا نفس الفكرة
+
+354
+00:33:20,280 --> 00:33:24,120
+The subject is again instructed to look at the
+
+355
+00:33:24,120 --> 00:33:29,180
+dispenser's open eye. Recheck.الان هو لما فتح مثلا
+
+356
+00:33:29,180 --> 00:33:34,440
+الفاحص العين اليمين، بدي ارشد اللي هو ايه المريض
+
+357
+00:33:34,440 --> 00:33:37,540
+انه يطلع بالعين اليمين اللي هي المفتوحة، مايطلعش
+
+358
+00:33:37,540 --> 00:33:41,140
+في العين أيش اللي مغلقة، تمام؟ عشان يتم اللي هو
+
+359
+00:33:41,140 --> 00:33:44,480
+الفحص بلي هو سهولة ويكون accurate
+
+360
+00:33:48,690 --> 00:33:52,170
+طيب بعض الأحيان بيكون الأمر هذا صعب خاصة عند
+
+361
+00:33:52,170 --> 00:33:57,410
+الأطفال يعني الطفل دايما ال attention عنده بيكون
+
+362
+00:33:57,410 --> 00:34:03,810
+الأمر فيه صعب طب ايش بدنا نعمل؟ when difficulty is
+
+363
+00:34:03,810 --> 00:34:08,390
+experienced in determining the exact center of the
+
+364
+00:34:08,390 --> 00:34:12,590
+pupil انه بيكون من الصعب تحديد مركز اللي هو ال
+
+365
+00:34:12,590 --> 00:34:18,790
+pupil ال center of a pupilبناخد ال edge طرف ال
+
+366
+00:34:18,790 --> 00:34:24,250
+pupil للعين مثلا اليسرة تمام ال edge of the pupil
+
+367
+00:34:24,250 --> 00:34:30,350
+may be used as a measuring point if both pupils
+
+368
+00:34:30,350 --> 00:34:31,890
+are the same size
+
+369
+00:34:34,900 --> 00:34:39,780
+الان اول حاجة بتطلع ان هل الـ pupil size للعنتين
+
+370
+00:34:39,780 --> 00:34:44,220
+متساوي ولا لا؟ اذا كان متساوي ايش بعمل؟ باجي من
+
+371
+00:34:44,220 --> 00:34:48,660
+الطرف الخارجي ل ال pupil تمام بحط اللي هو ال
+
+372
+00:34:48,660 --> 00:34:55,870
+marker الأول لحديت وين؟الـ inward للعين التانية،
+
+373
+00:34:55,870 --> 00:34:59,510
+يا جماعة خليكم شويه معناه، بعدين بتكتبوا، الآن هيه
+
+374
+00:34:59,510 --> 00:35:04,530
+من الخارجي للعين اللي هو ال right للداخلي لمين؟
+
+375
+00:35:04,530 --> 00:35:09,490
+للعين ال left فهن بيدين قيمة مين ال IBD، بس هن شرط
+
+376
+00:35:09,490 --> 00:35:14,790
+انه يكون ايش؟ ال pupil size متساوي، يعني افرض واحد
+
+377
+00:35:14,790 --> 00:35:19,910
+عنده meiosisفي مثلا ال right eye مش هينفع الأمر
+
+378
+00:35:19,910 --> 00:35:24,190
+هذا ليش انه هيكون حجم ال pupil في ال right مختلف
+
+379
+00:35:24,190 --> 00:35:30,650
+عن حجم ال pupil في ال leftإذا ميجارمنت is read
+
+380
+00:35:30,650 --> 00:35:34,950
+from the left side of one pupil to the left side
+
+381
+00:35:34,950 --> 00:35:41,430
+of the other او احنا بنقول outward ل ال right ل
+
+382
+00:35:41,430 --> 00:35:46,270
+inward لمين لل left برضه نفس القيمة إذا كانت تنتين
+
+383
+00:35:46,270 --> 00:35:52,290
+متساوياتmeasuring from the inside edge of one
+
+384
+00:35:52,290 --> 00:35:56,450
+pupil to the inside edge of the other would give
+
+385
+00:35:56,450 --> 00:36:01,530
+an artificially low reading لكن هتكون أقل اللي هو
+
+386
+00:36:01,530 --> 00:36:06,190
+دقة from the outside edge of one pupil to the
+
+387
+00:36:06,190 --> 00:36:09,910
+outside edge of the other an artificially high
+
+388
+00:36:09,910 --> 00:36:15,150
+reading يعني البعض إيش بيعمل؟ بياخد من هنا لهنابس
+
+389
+00:36:15,150 --> 00:36:19,270
+الموضوع ان ال outward لل inward هيكون اكتر او ال
+
+390
+00:36:19,270 --> 00:36:23,470
+high اللي هو reading او high quality reading يعني
+
+391
+00:36:23,470 --> 00:36:28,070
+القراءة هتكون اعلى اللي هي من ناحية الجودة و من
+
+392
+00:36:28,070 --> 00:36:34,890
+ناحية اللي هو الدقة ماقلنا من ال outward تمام لل
+
+393
+00:36:34,890 --> 00:36:40,710
+inward في another I هى تمام هى عندنا مثلاالقراءة
+
+394
+00:36:40,710 --> 00:36:44,610
+نفس الحاجة جدّيش عندنا؟ ستين نفس ما أخدنا من ال
+
+395
+00:36:44,610 --> 00:36:48,330
+center لل center هاي أخدنا من ال outward لمين؟ هاي
+
+396
+00:36:48,330 --> 00:36:52,290
+الصفر وين؟ على ال outward لل right لحدية ال inward
+
+397
+00:36:52,290 --> 00:36:59,070
+لمين؟ لل left بس هان الشرط أنه التنين نفس الحجم ال
+
+398
+00:36:59,070 --> 00:37:03,150
+two pupil لل right و لل left لكن لو هذا مثلا في
+
+399
+00:37:03,150 --> 00:37:07,390
+عندنا يوزز و هان مثلا عندنا ديلات pupil نفعش نعمل
+
+400
+00:37:07,390 --> 00:37:15,990
+القصة هذه، مش صحDark irises or unequally sized
+
+401
+00:37:15,990 --> 00:37:20,950
+pupils حتى لو كان ال color فيه عالي كتير، يعني
+
+402
+00:37:20,950 --> 00:37:28,630
+مثلا black بشكل كبير أو مثلا اللون، يعني الكتير
+
+403
+00:37:28,630 --> 00:37:32,450
+اللي هو ال iris فيه color، بنفعش اعمل قضية انه من
+
+404
+00:37:32,450 --> 00:37:37,120
+ال edge لاللي هو ال edgeأو مثلا عدم تساوي ما بين
+
+405
+00:37:37,120 --> 00:37:40,700
+ال two pupils ايش بدنا نستخدم ال limbus اللي هو
+
+406
+00:37:40,700 --> 00:37:44,400
+edge بس هذه بدها مهارة عالية موضوع اللي هو ال
+
+407
+00:37:44,400 --> 00:37:52,240
+limbus ال edge طيب
+
+408
+00:37:52,240 --> 00:37:56,880
+عندنا ال common difficulties and their solution
+
+409
+00:37:56,880 --> 00:38:03,200
+يعني المشاكل الشائعة و كيفية حلها عندما يتم قياس
+
+410
+00:38:03,200 --> 00:38:11,710
+منمانيوال انترابيوبيلري ديستانس اول حاجة ديسبنسر
+
+411
+00:38:11,710 --> 00:38:16,650
+كانت نطي close one eye دايما احنا عنا بنقدر ايش
+
+412
+00:38:16,650 --> 00:38:23,630
+نغطي عين لكن مابنقدرش التنتين فهنا بيكون فيه مشكلة
+
+413
+00:38:23,630 --> 00:38:29,430
+unable to close one eye independent of the other
+
+414
+00:38:29,430 --> 00:38:33,370
+يعني عدم القدرة على تغطية عين والاعتماد على العين
+
+415
+00:38:33,370 --> 00:38:38,690
+التانيةOcluding the eye with the free hand، بتغطي
+
+416
+00:38:38,690 --> 00:38:45,950
+العين إيش؟ بالـ free hand The practice
+
+417
+00:38:45,950 --> 00:38:52,150
+of holding the lid down with one finger gives an
+
+418
+00:38:52,150 --> 00:38:57,110
+unprofessional appearance especially when wearing
+
+419
+00:38:57,110 --> 00:39:03,880
+glasses الآن لو أنا مثلا كنت لابس نضارةك examiner
+
+420
+00:39:03,880 --> 00:39:09,160
+و روحت اللي هو غطيت العين بأصبع واحد، هيكون المظهر
+
+421
+00:39:09,160 --> 00:39:13,860
+غير لاق، صح ولا لا؟ فالأفضل انه ايش اعمل؟ انه اعمل
+
+422
+00:39:13,860 --> 00:39:17,560
+اللي هو occlusion كامل للعين، و كأنه هو جزء من
+
+423
+00:39:17,560 --> 00:39:25,700
+مين؟ من قلية الفحص، مستوابين معاه؟ اذا occluding
+
+424
+00:39:25,700 --> 00:39:30,280
+the eye with the hand، اغلاق العين من خلال اليد
+
+425
+00:39:31,360 --> 00:39:37,440
+held if that appears يعني حيظهر بمظهر اللي هو أجمل
+
+426
+00:39:37,440 --> 00:39:43,020
+أو ألطف to be a natural part يعني جزء أشماله طبيعي
+
+427
+00:39:43,020 --> 00:39:48,640
+of the test من اللي هو الاختبار and doesn't reveal
+
+428
+00:39:48,640 --> 00:39:53,020
+appearances in ability to close only one eye ومش
+
+429
+00:39:53,020 --> 00:39:58,360
+هيظهر لمين للمريض ان هو مش قادر يغلق اللي هو العين
+
+430
+00:39:58,360 --> 00:39:59,700
+التانية تمام؟
+
+431
+00:40:03,430 --> 00:40:07,070
+النقطة التانية الـ Dispensers are visually
+
+432
+00:40:07,070 --> 00:40:12,270
+impaired in one eye يعني الأن لو مثلا الفاحص نفسه
+
+433
+00:40:12,270 --> 00:40:16,730
+ماعندهش visual acuity 6 ع 6 في العينتين حتى
+
+434
+00:40:16,730 --> 00:40:23,430
+بالنضارة يعني لو عملنا له best corrected visual
+
+435
+00:40:23,430 --> 00:40:27,050
+acuity ماعندهش 6 ع 6، إيش المقصود بال best
+
+436
+00:40:27,050 --> 00:40:28,630
+corrected visual acuity؟
+
+437
+00:40:30,980 --> 00:40:35,240
+أفضل رؤية يمكن رؤيتها من خلال الـ Optical
+
+438
+00:40:35,240 --> 00:40:39,980
+Correction، سواء نضارة أو عدسة لاصقة الان هان بصلة
+
+439
+00:40:39,980 --> 00:40:46,540
+6 ع 6 فهو في عنده إيش؟ إمبير، اللي هو ضعف أو عنده
+
+440
+00:40:46,540 --> 00:40:49,840
+اللي هو تعطيل في ال visual acuity
+
+441
+00:40:54,820 --> 00:40:59,520
+If the dispenser is blind in one eye، لو كان أعمى
+
+442
+00:40:59,520 --> 00:41:03,920
+مثلا، يعني عنده single eye، معتمد على عين واحدة،
+
+443
+00:41:03,920 --> 00:41:10,420
+okay؟ Or has visually acuity too poor، أو عنده
+
+444
+00:41:10,420 --> 00:41:16,050
+مثلا ضعف شديد في عين، دون الأخرىto allow the ruler
+
+445
+00:41:16,050 --> 00:41:19,650
+to be read accurately then the technique is
+
+446
+00:41:19,650 --> 00:41:23,710
+modified لازم احنا نعمل عملية تغيير او تبديل او
+
+447
+00:41:23,710 --> 00:41:27,970
+تعديل في اللي هو الطريقة لان هذا القياس مش هيديني
+
+448
+00:41:27,970 --> 00:41:31,650
+ايش accurate result لقياس ال IPD
+
+449
+00:41:36,100 --> 00:41:41,140
+The dispenser places the good eye directly in
+
+450
+00:41:41,140 --> 00:41:46,400
+front of the subject's right eye and at the normal
+
+451
+00:41:46,400 --> 00:41:53,120
+distance. The zero mark is lined up as usual.
+
+452
+00:41:57,680 --> 00:42:01,740
+بتكون اللي هو يعني انا دايما بدي اعتمد كاللي هو
+
+453
+00:42:01,740 --> 00:42:06,000
+examiner او كـ dispenser على العين ايش اللي هي ال
+
+454
+00:42:06,000 --> 00:42:10,860
+good سواء كانت يمّا احط السفر mark او احط اللي هو
+
+455
+00:42:10,860 --> 00:42:16,380
+ال another mark القراءة التانية لأن اي عدم دقة في
+
+456
+00:42:16,380 --> 00:42:21,120
+الفحص بديني لنتيجة خاطية يعني بمعنى اخر المحصلة
+
+457
+00:42:21,120 --> 00:42:22,800
+هتكون ايش فيها مشكلة
+
+458
+00:42:26,840 --> 00:42:31,860
+الـ dispenser then moves sideways until the good
+
+459
+00:42:31,860 --> 00:42:35,840
+eye is positioned in front of the subjects left
+
+460
+00:42:35,840 --> 00:42:40,300
+eye and the measurement is read الان لو كان مثلا
+
+461
+00:42:40,300 --> 00:42:44,880
+أحد الفاحصين عنده right eye بس هي ال good الان أول
+
+462
+00:42:44,880 --> 00:42:50,040
+حاجة بغط مين؟الـ left eye و بيشوف اللي هو على الـ
+
+463
+00:42:50,040 --> 00:42:53,940
+zero mark و بعد ذلك بنتقل للعين التانية و هو فاتح
+
+464
+00:42:53,940 --> 00:42:57,800
+من ال good eye او ال right eye يعني بيحافظ على
+
+465
+00:42:57,800 --> 00:43:02,080
+استخدام ال right eye في كلا العينتين بالنسبة لمين
+
+466
+00:43:02,080 --> 00:43:05,360
+لل dispenser او عفوا بالنسبة لل patient
+
+467
+00:43:08,510 --> 00:43:13,130
+Unfortunately, this method can easily lead to
+
+468
+00:43:13,130 --> 00:43:18,630
+parallax errors يعني هذا مع الأسف أنه ممكن هذا
+
+469
+00:43:18,630 --> 00:43:23,290
+الفحص يؤدي إلى إيش؟ إلى خطأ اللي هو بشكل سريع،
+
+470
+00:43:23,290 --> 00:43:28,370
+ليش؟ لأن أي اختلاف في ال angle أو ال visual angle
+
+471
+00:43:28,370 --> 00:43:31,790
+هيؤدي لاختلاف في مين؟ في قيمة اللي هو القراءة
+
+472
+00:43:31,790 --> 00:43:32,650
+المطلوبة
+
+473
+00:43:35,440 --> 00:43:40,560
+The most desirable solution for someone with this
+
+474
+00:43:40,560 --> 00:43:44,620
+difficulty is to use another type of instrument
+
+475
+00:43:44,620 --> 00:43:48,640
+that only requires the use of one eye طيب لو
+
+476
+00:43:48,640 --> 00:43:52,260
+ماقدرناش نحقق هذه الفكرة بدنا نشوف أجهزة تانية
+
+477
+00:43:52,260 --> 00:43:56,660
+ممكن من خلالها الشخص يعتمد على one eye لاللي هو
+
+478
+00:43:56,660 --> 00:43:59,920
+فحص قيمة ال IBD بالنسبة لل patient
+
+479
+00:44:02,790 --> 00:44:06,610
+وبنقف ان شاء الله لعند اللي هو subject is a
+
+480
+00:44:06,610 --> 00:44:11,070
+strabism او اللي هو squint في الأشخاص اللي بيكون
+
+481
+00:44:11,070 --> 00:44:14,750
+عندهم حوال للمحاضرة القادمة ان شاء الله
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/asK7g5sg63Q_raw.json b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/asK7g5sg63Q_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..b336018fb18fbf1726a3c9f9efa6b5beb9a7aa59
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/asK7g5sg63Q_raw.json
@@ -0,0 +1 @@
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أنا جبتلكم صورة أوضح شايفين الآن هذه النضارة تمام هذه ال clip", "tokens": [6027, 1863, 45367, 16712, 7649, 1829, 538, 19431, 281, 1071, 3920, 7251, 43020, 34105, 5551, 2407, 11242, 5016, 41850, 10874, 3555, 2655, 23275, 2304, 20328, 13063, 3660, 34051, 11242, 5016, 13412, 995, 33911, 9957, 6024, 48506, 29538, 28239, 11242, 9640, 3660, 46811, 10943, 29538, 2423, 7353], "avg_logprob": -0.2372008042132601, "compression_ratio": 1.326241134751773, "no_speech_prob": 0.0, "words": [{"start": 317.48, "end": 317.92, "word": "النوع", "probability": 0.9568684895833334}, {"start": 317.92, "end": 318.6, "word": " التاني", "probability": 0.8846028645833334}, {"start": 318.6, "end": 319.24, "word": " by", "probability": 0.27880859375}, {"start": 319.24, "end": 320.16, "word": " attachment", "probability": 0.63720703125}, {"start": 320.16, "end": 320.96, "word": " to", "probability": 0.974609375}, {"start": 320.96, "end": 321.52, "word": " another", "probability": 0.95361328125}, {"start": 321.52, 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لكن الآن في النضارات الحديثة بتلاحظ أنه في إيش قطعة معدنية", "tokens": [5723, 815, 312, 3838, 8570, 281, 264, 3920, 37495, 22653, 3714, 43020, 45030, 11242, 9154, 33688, 9566, 9640, 9307, 14739, 3224, 39894, 30544, 2423, 6690, 6887, 3714, 43500, 3555, 9566, 3660, 4724, 8592, 28820, 11933, 1829, 8592, 3714, 3555, 33599, 2288, 20449, 13672, 1829, 31439, 3714, 9957, 2423, 15982, 20328, 5016, 1829, 5016, 23032, 3555, 3615, 995, 29538, 8978, 18863, 3215, 3794, 9307, 25062, 16254, 46007, 34051, 8978, 28239, 11242, 9640, 9307, 25062, 16254, 46007, 6225, 5172, 14407, 44381, 6024, 48506, 8978, 28239, 11242, 9640, 9307, 21542, 16254, 12984, 3660, 39894, 15040, 5016, 19913, 14739, 3224, 8978, 11933, 1829, 8592, 12174, 9566, 27884, 20449, 3215, 1863, 10632], "avg_logprob": -0.12738716009038467, "compression_ratio": 1.6829268292682926, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 695.21, "end": 695.83, "word": "This", "probability": 0.55908203125}, {"start": 695.83, "end": 696.57, 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0.97021484375}], "temperature": 1.0}, {"id": 52, "seek": 132790, "start": 1308.1, "end": 1327.9, "text": "the portion of the temple أيضا هي جزء من التمبل between the button and the bend اللي هي اللي بتكون واصلة ما بين ال butt portion و ال bend أو ال curve the ear piece", "tokens": [3322, 8044, 295, 264, 10184, 36632, 11242, 995, 39896, 10874, 11622, 38207, 9154, 2423, 39237, 36150, 1296, 264, 2960, 293, 264, 11229, 13672, 1829, 39896, 13672, 1829, 39894, 30544, 4032, 33546, 37977, 19446, 49374, 2423, 6660, 8044, 4032, 2423, 11229, 34051, 2423, 7605, 264, 1273, 2522], "avg_logprob": -0.3309507927996047, "compression_ratio": 1.436241610738255, "no_speech_prob": 0.0, "words": [{"start": 1308.1, "end": 1308.34, "word": "the", "probability": 0.221923828125}, {"start": 1308.34, "end": 1308.82, "word": " portion", "probability": 0.80810546875}, {"start": 1308.82, "end": 1309.36, "word": " of", "probability": 0.978515625}, {"start": 1309.36, "end": 1309.58, "word": " the", "probability": 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" يما", "probability": 0.8759765625}, {"start": 1434.87, "end": 1435.25, "word": " يكون", "probability": 0.992919921875}, {"start": 1435.25, "end": 1435.75, "word": " كله", "probability": 0.8056640625}, {"start": 1435.75, "end": 1436.51, "word": " عبارة", "probability": 0.81719970703125}, {"start": 1436.51, "end": 1436.85, "word": " عن", "probability": 0.99609375}, {"start": 1436.85, "end": 1438.05, "word": " بنسميه", "probability": 0.8607177734375}, {"start": 1438.05, "end": 1438.53, "word": " rimless", "probability": 0.8818359375}, {"start": 1438.53, "end": 1439.05, "word": " lenses", "probability": 0.89453125}, {"start": 1439.05, "end": 1439.33, "word": " يعني", "probability": 0.947509765625}, {"start": 1439.33, "end": 1439.71, "word": " بدون", "probability": 0.99560546875}, {"start": 1439.71, "end": 1439.97, "word": " أي", "probability": 0.5703125}, {"start": 1439.97, "end": 1440.75, "word": " تحفة", "probability": 0.9853515625}, {"start": 1440.75, "end": 1441.17, "word": " هذا", 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0.371337890625}, {"start": 1788.43, "end": 1788.93, "word": " جديد", "probability": 0.81591796875}, {"start": 1788.93, "end": 1789.13, "word": " اش", "probability": 0.39892578125}, {"start": 1789.13, "end": 1789.67, "word": " اسمها", "probability": 0.951171875}, {"start": 1789.67, "end": 1790.81, "word": " cellulose", "probability": 0.9728190104166666}, {"start": 1790.81, "end": 1792.73, "word": " acetate", "probability": 0.973876953125}, {"start": 1792.73, "end": 1793.79, "word": " Now", "probability": 0.465576171875}, {"start": 1793.79, "end": 1794.45, "word": " الان", "probability": 0.70849609375}, {"start": 1794.45, "end": 1795.07, "word": " with", "probability": 0.7578125}, {"start": 1795.07, "end": 1795.57, "word": " the", "probability": 0.7841796875}, {"start": 1795.57, "end": 1797.25, "word": " emergence", "probability": 0.953125}, {"start": 1797.25, "end": 1797.91, "word": " of", "probability": 0.9765625}, {"start": 1797.91, "end": 1798.19, "word": " many", "probability": 0.869140625}, {"start": 1798.19, "end": 1798.49, "word": " new", "probability": 0.87646484375}, {"start": 1798.49, "end": 1799.19, "word": " materials", "probability": 0.82958984375}, {"start": 1799.19, "end": 1799.87, "word": " فى", "probability": 0.7042236328125}, {"start": 1799.87, "end": 1800.27, "word": " عندنا", "probability": 0.90576171875}, {"start": 1800.27, "end": 1800.77, "word": " يعني", "probability": 0.845947265625}, {"start": 1800.77, "end": 1801.41, "word": " مواد", "probability": 0.9378255208333334}, {"start": 1801.41, "end": 1801.75, "word": " اللى", "probability": 0.932861328125}, {"start": 1801.75, "end": 1802.01, "word": " هو", "probability": 0.9208984375}, {"start": 1802.01, "end": 1802.25, "word": " اش", "probability": 0.85546875}, {"start": 1802.25, "end": 1802.71, "word": " مالها", "probability": 0.8517252604166666}], "temperature": 1.0}, {"id": 72, "seek": 182772, "start": 1803.92, "end": 1827.72, "text": "متعددة او كمية كبيرة من اللي هو المواد الجديدة اللي بتستخدم في صناعة الإطارات انا بتكلمها ك plastic okay either the exact name of the plastic material is used or the frame is simply referred to a plastic مع هذا التنوع صار عندنا فيه إيش؟", "tokens": [2304, 2655, 22488, 41891, 1975, 2407, 9122, 2304, 10632, 9122, 3555, 48923, 9154, 13672, 1829, 31439, 9673, 14407, 3215, 25724, 16254, 41891, 13672, 1829, 39894, 14851, 9778, 40448, 8978, 20328, 8315, 27884, 33688, 9566, 9640, 9307, 1975, 8315, 39894, 4117, 19528, 11296, 9122, 5900, 1392, 2139, 264, 1900, 1315, 295, 264, 5900, 2527, 307, 1143, 420, 264, 3920, 307, 2935, 10839, 281, 257, 5900, 20449, 23758, 16712, 1863, 45367, 20328, 9640, 43242, 8315, 8978, 3224, 11933, 1829, 8592, 22807], "avg_logprob": -0.1435546914115548, "compression_ratio": 1.5112107623318385, "no_speech_prob": 7.152557373046875e-07, "words": [{"start": 1803.92, "end": 1804.76, "word": "متعددة", "probability": 0.9114990234375}, {"start": 1804.76, "end": 1805.5, "word": " او", "probability": 0.747802734375}, {"start": 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1812.02, "end": 1812.18, "word": " انا", "probability": 0.69384765625}, {"start": 1812.18, "end": 1812.74, "word": " بتكلمها", "probability": 0.8363037109375}, {"start": 1812.74, "end": 1812.9, "word": " ك", "probability": 0.79541015625}, {"start": 1812.9, "end": 1813.44, "word": " plastic", "probability": 0.494384765625}, {"start": 1813.44, "end": 1813.9, "word": " okay", "probability": 0.24169921875}, {"start": 1813.9, "end": 1815.4, "word": " either", "probability": 0.765625}, {"start": 1815.4, "end": 1815.92, "word": " the", "probability": 0.904296875}, {"start": 1815.92, "end": 1816.58, "word": " exact", "probability": 0.9501953125}, {"start": 1816.58, "end": 1817.14, "word": " name", "probability": 0.93798828125}, {"start": 1817.14, "end": 1817.38, "word": " of", "probability": 0.97802734375}, {"start": 1817.38, "end": 1817.52, "word": " the", "probability": 0.904296875}, {"start": 1817.52, "end": 1817.92, "word": " plastic", "probability": 0.88330078125}, {"start": 1817.92, "end": 1818.6, "word": " material", "probability": 0.87109375}, {"start": 1818.6, "end": 1818.98, "word": " is", "probability": 0.95458984375}, {"start": 1818.98, "end": 1819.48, "word": " used", "probability": 0.935546875}, {"start": 1819.48, "end": 1819.9, "word": " or", "probability": 0.921875}, {"start": 1819.9, "end": 1820.08, "word": " the", "probability": 0.91943359375}, {"start": 1820.08, "end": 1820.5, "word": " frame", "probability": 0.90234375}, {"start": 1820.5, "end": 1821.16, "word": " is", "probability": 0.94580078125}, {"start": 1821.16, "end": 1821.66, "word": " simply", "probability": 0.92919921875}, {"start": 1821.66, "end": 1822.48, "word": " referred", "probability": 0.83935546875}, {"start": 1822.48, "end": 1822.86, "word": " to", "probability": 0.982421875}, {"start": 1822.86, "end": 1823.36, "word": " a", "probability": 0.86328125}, {"start": 1823.36, "end": 1823.82, "word": " plastic", "probability": 0.9072265625}, {"start": 1823.82, "end": 1824.76, "word": " مع", "probability": 0.81982421875}, {"start": 1824.76, "end": 1825.2, "word": " هذا", "probability": 0.96142578125}, {"start": 1825.2, "end": 1825.86, "word": " التنوع", "probability": 0.8888346354166666}, {"start": 1825.86, "end": 1826.48, "word": " صار", "probability": 0.979736328125}, {"start": 1826.48, "end": 1826.82, "word": " عندنا", "probability": 0.923828125}, {"start": 1826.82, "end": 1827.1, "word": " فيه", "probability": 0.761962890625}, {"start": 1827.1, "end": 1827.72, "word": " إيش؟", "probability": 0.82867431640625}], "temperature": 1.0}, {"id": 73, "seek": 184656, "start": 1829.1, "end": 1846.56, "text": "إنه سهولة في عملية اللي هو تمييز المسميات، يعني الآن إنتوا لو روحتي لأي تشركة أو أي مركز بصريات بيقولك إن هذا ال plastic قد يكون مثلا مصنوع من أي مادة، اللي هو سليلوز أو اللي هو أسيتيت", "tokens": [28814, 1863, 3224, 8608, 3224, 12610, 3660, 8978, 6225, 42213, 10632, 13672, 1829, 31439, 46811, 1829, 1829, 11622, 9673, 38251, 1829, 9307, 12399, 37495, 22653, 6024, 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في عندنا ال metal", "tokens": [10721, 2407, 50113, 15040, 23758, 16472, 3224, 39894, 15040, 38436, 3714, 18513, 3660, 20449, 9957, 3660, 3714, 9381, 1863, 2407, 27884, 9154, 11296, 37495, 22653, 4724, 2304, 3615, 1863, 7578, 19753, 34740, 16472, 3224, 5551, 9381, 49628, 28242, 13412, 31747, 3660, 39894, 3615, 28480, 3714, 7435, 2304, 2407, 27884, 13672, 1829, 31439, 33688, 9566, 9640, 9307, 2423, 5900, 2423, 2527, 13672, 1829, 3714, 9381, 1863, 2407, 27884, 9154, 11296, 1392, 39896, 43242, 8315, 2423, 5900, 2527, 1392, 8978, 43242, 8315, 2423, 5760], "avg_logprob": -0.15897966795657054, "compression_ratio": 1.7580645161290323, "no_speech_prob": 0.0, "words": [{"start": 1846.97, "end": 1847.27, "word": "أو", "probability": 0.831787109375}, {"start": 1847.27, "end": 1847.69, "word": " مثلا", "probability": 0.91748046875}, {"start": 1847.69, "end": 1849.01, "word": " هذا", "probability": 0.57177734375}, {"start": 1849.01, "end": 1850.01, "word": " انه", "probability": 0.652099609375}, 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1.0}, {"id": 78, "seek": 197492, "start": 1960.28, "end": 1974.92, "text": "طيب نيلون called frames sometimes called string، إيش معناه كلمة string؟", "tokens": [9566, 1829, 3555, 8717, 26895, 11536, 1219, 12083, 2171, 1219, 6798, 12399, 11933, 1829, 8592, 20449, 8315, 3224, 9122, 19528, 3660, 6798, 22807], "avg_logprob": -0.2783203050494194, "compression_ratio": 1.0449438202247192, "no_speech_prob": 0.0, "words": [{"start": 1960.28, "end": 1960.78, "word": "طيب", "probability": 0.7632649739583334}, {"start": 1960.78, "end": 1962.26, "word": " نيلون", "probability": 0.785400390625}, {"start": 1962.26, "end": 1962.96, "word": " called", "probability": 0.5498046875}, {"start": 1962.96, "end": 1963.82, "word": " frames", "probability": 0.80322265625}, {"start": 1963.82, "end": 1971.04, "word": " sometimes", "probability": 0.716796875}, {"start": 1971.04, "end": 1972.0, "word": " called", "probability": 0.94580078125}, {"start": 1972.0, "end": 1973.2, "word": " string،", "probability": 0.4876708984375}, {"start": 1973.2, "end": 1973.32, "word": " إيش", "probability": 0.8107096354166666}, {"start": 1973.32, "end": 1973.56, "word": " معناه", "probability": 0.80126953125}, {"start": 1973.56, "end": 1973.9, "word": " كلمة", "probability": 0.9835611979166666}, {"start": 1973.9, "end": 1974.92, "word": " string؟", "probability": 0.919921875}], "temperature": 1.0}, {"id": 79, "seek": 199383, "start": 1975.77, "end": 1993.83, "text": "حبل او خيط تمام؟ mounted frames or nylon subrace او بنسميها اللي هي subra mount تمام؟ يعني عبارة عن حبل، هذا الحبل ايش؟ بشد اللي هو العدسة، حتى انه تمنع اللي هو سقوطها", "tokens": [5016, 36150, 1975, 2407, 16490, 1829, 9566, 46811, 10943, 22807, 19138, 12083, 420, 43503, 1422, 81, 617, 1975, 2407, 4724, 1863, 38251, 1829, 11296, 13672, 1829, 39896, 1422, 424, 3746, 46811, 10943, 22807, 37495, 22653, 6225, 3555, 9640, 3660, 18871, 11331, 36150, 12399, 23758, 21542, 36150, 1975, 1829, 8592, 22807, 4724, 8592, 3215, 13672, 1829, 31439, 18863, 3215, 3794, 3660, 12399, 11331, 49975, 16472, 3224, 46811, 1863, 3615, 13672, 1829, 31439, 8608, 4587, 2407, 9566, 11296], "avg_logprob": -0.2473620253723937, "compression_ratio": 1.5588235294117647, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1975.77, "end": 1976.15, "word": "حبل", "probability": 0.798828125}, {"start": 1976.15, "end": 1977.01, "word": " او", "probability": 0.6851806640625}, {"start": 1977.01, "end": 1977.41, "word": " خيط", "probability": 0.97802734375}, {"start": 1977.41, "end": 1978.71, "word": " تمام؟", "probability": 0.4823404947916667}, {"start": 1978.71, "end": 1979.21, "word": " mounted", "probability": 0.37744140625}, {"start": 1979.21, "end": 1980.15, "word": " frames", "probability": 0.82568359375}, {"start": 1980.15, "end": 1980.57, "word": " or", "probability": 0.759765625}, {"start": 1980.57, "end": 1981.45, "word": " nylon", "probability": 0.66357421875}, {"start": 1981.45, "end": 1983.37, "word": " subrace", "probability": 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0.86376953125}, {"start": 1988.65, "end": 1989.07, "word": " الحبل", "probability": 0.9921875}, {"start": 1989.07, "end": 1989.63, "word": " ايش؟", "probability": 0.807373046875}, {"start": 1989.63, "end": 1990.09, "word": " بشد", "probability": 0.98291015625}, {"start": 1990.09, "end": 1990.33, "word": " اللي", "probability": 0.979736328125}, {"start": 1990.33, "end": 1990.53, "word": " هو", "probability": 0.990234375}, {"start": 1990.53, "end": 1991.59, "word": " العدسة،", "probability": 0.93046875}, {"start": 1991.59, "end": 1991.97, "word": " حتى", "probability": 0.86865234375}, {"start": 1991.97, "end": 1992.37, "word": " انه", "probability": 0.892333984375}, {"start": 1992.37, "end": 1992.81, "word": " تمنع", "probability": 0.8479817708333334}, {"start": 1992.81, "end": 1993.01, "word": " اللي", "probability": 0.984130859375}, {"start": 1993.01, "end": 1993.19, "word": " هو", "probability": 0.98193359375}, {"start": 1993.19, "end": 1993.83, "word": " سقوطها", "probability": 0.88486328125}], "temperature": 1.0}, {"id": 80, "seek": 202063, "start": 1994.93, "end": 2020.63, "text": "Hold the lenses in a place انه هيحافظ على مكان العدسة by means of a nylon cord that fits around the edge of the lens انه هتظلها في داخل اللي هو من الخيط موجودة العدسة This gives the glasses the appearance of being rimless", "tokens": [42347, 264, 18059, 294, 257, 1081, 16472, 3224, 39896, 5016, 31845, 19913, 15844, 3714, 41361, 18863, 3215, 3794, 3660, 538, 1355, 295, 257, 43503, 12250, 300, 9001, 926, 264, 4691, 295, 264, 6765, 16472, 3224, 8032, 2655, 19913, 1211, 11296, 8978, 11778, 47283, 1211, 13672, 1829, 31439, 9154, 33962, 1829, 9566, 3714, 29245, 23328, 3660, 18863, 3215, 3794, 3660, 639, 2709, 264, 10812, 264, 8967, 295, 885, 15982, 1832], "avg_logprob": -0.12946428422416958, "compression_ratio": 1.400990099009901, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1994.93, "end": 1995.47, "word": "Hold", "probability": 0.485595703125}, {"start": 1995.47, 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انه", "probability": 0.791015625}, {"start": 2008.07, "end": 2008.77, "word": " هتظلها", "probability": 0.7609375}, {"start": 2008.77, "end": 2009.11, "word": " في", "probability": 0.77294921875}, {"start": 2009.11, "end": 2009.67, "word": " داخل", "probability": 0.9737955729166666}, {"start": 2009.67, "end": 2009.87, "word": " اللي", "probability": 0.92431640625}, {"start": 2009.87, "end": 2010.13, "word": " هو", "probability": 0.9892578125}, {"start": 2010.13, "end": 2010.43, "word": " من", "probability": 0.94482421875}, {"start": 2010.43, "end": 2011.29, "word": " الخيط", "probability": 0.9765625}, {"start": 2011.29, "end": 2012.33, "word": " موجودة", "probability": 0.9739990234375}, {"start": 2012.33, "end": 2013.25, "word": " العدسة", "probability": 0.9910888671875}, {"start": 2013.25, "end": 2014.73, "word": " This", "probability": 0.6689453125}, {"start": 2014.73, "end": 2015.45, "word": " gives", "probability": 0.92626953125}, {"start": 2015.45, "end": 2016.17, "word": " the", 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" على", "probability": 0.68115234375}, {"start": 2024.81, "end": 2025.17, "word": " انه", "probability": 0.884521484375}, {"start": 2025.17, "end": 2025.41, "word": " هو", "probability": 0.59814453125}, {"start": 2025.41, "end": 2025.75, "word": " ايش", "probability": 0.7708333333333334}, {"start": 2025.75, "end": 2026.35, "word": " rimless", "probability": 0.62158203125}, {"start": 2026.35, "end": 2026.65, "word": " ايش", "probability": 0.8260091145833334}, {"start": 2026.65, "end": 2026.95, "word": " يعني", "probability": 0.90771484375}, {"start": 2026.95, "end": 2027.53, "word": " without", "probability": 0.615234375}, {"start": 2027.53, "end": 2028.09, "word": " rim", "probability": 0.8486328125}, {"start": 2028.09, "end": 2028.67, "word": " بدون", "probability": 0.837890625}, {"start": 2028.67, "end": 2030.15, "word": " حافة", "probability": 0.9755859375}, {"start": 2030.15, "end": 2031.51, "word": " usually", "probability": 0.6337890625}, {"start": 2031.51, "end": 2031.97, 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of", "probability": 0.9775390625}, {"start": 2037.27, "end": 2037.43, "word": " the", "probability": 0.92724609375}, {"start": 2037.43, "end": 2037.81, "word": " frames", "probability": 0.76611328125}, {"start": 2037.81, "end": 2038.71, "word": " المنطقة", "probability": 0.9404296875}, {"start": 2038.71, "end": 2039.25, "word": " العلوية", "probability": 0.9705810546875}, {"start": 2039.25, "end": 2039.53, "word": " ايش", "probability": 0.9161783854166666}, {"start": 2039.53, "end": 2039.95, "word": " فيها؟", "probability": 0.9015299479166666}, {"start": 2039.95, "end": 2040.11, "word": " rim", "probability": 0.297119140625}, {"start": 2040.11, "end": 2040.51, "word": " هذا", "probability": 0.27880859375}, {"start": 2040.51, "end": 2041.15, "word": " بنسميه", "probability": 0.9266357421875}, {"start": 2041.15, "end": 2041.43, "word": " top", "probability": 0.87841796875}, {"start": 2041.43, "end": 2041.93, "word": " rim", "probability": 0.87255859375}, {"start": 2041.93, "end": 2043.03, "word": " okay", "probability": 0.8525390625}], "temperature": 1.0}, {"id": 82, "seek": 207396, "start": 2044.3, "end": 2073.96, "text": "the rest of the limbs has a small groove هل بنعمل حاجة بنسميها groove عشان إيش؟ يدخل الخيط في داخل مين؟ العدسة عشان يمسك العدسة أو يمنع سقوط العدسة cut into an otherwise flat edge طبعا جبل ما بعمل عملية اللي هو تدخيل للخيط في داخل الجروف لازم يكون flat إيش الهدف إن يكون flat؟", "tokens": [3322, 1472, 295, 264, 29315, 575, 257, 1359, 26910, 8032, 1211, 44945, 25957, 1211, 11331, 26108, 3660, 44945, 38251, 1829, 11296, 26910, 6225, 8592, 7649, 11933, 1829, 8592, 22807, 7251, 3215, 9778, 1211, 33962, 1829, 9566, 8978, 11778, 47283, 1211, 3714, 9957, 22807, 18863, 3215, 3794, 3660, 6225, 8592, 7649, 7251, 2304, 3794, 4117, 18863, 3215, 3794, 3660, 34051, 7251, 27842, 3615, 8608, 4587, 2407, 9566, 18863, 3215, 3794, 3660, 1723, 666, 364, 5911, 4962, 4691, 23032, 3555, 3615, 995, 10874, 36150, 19446, 4724, 25957, 1211, 6225, 42213, 10632, 13672, 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0.9345703125}, {"start": 2047.3, "end": 2047.94, "word": " groove", "probability": 0.72216796875}, {"start": 2047.94, "end": 2048.38, "word": " هل", "probability": 0.873046875}, {"start": 2048.38, "end": 2048.82, "word": " بنعمل", "probability": 0.7879231770833334}, {"start": 2048.82, "end": 2049.12, "word": " حاجة", "probability": 0.99267578125}, {"start": 2049.12, "end": 2049.72, "word": " بنسميها", "probability": 0.9659423828125}, {"start": 2049.72, "end": 2050.22, "word": " groove", "probability": 0.8349609375}, {"start": 2050.22, "end": 2051.1, "word": " عشان", "probability": 0.8787434895833334}, {"start": 2051.1, "end": 2051.56, "word": " إيش؟", "probability": 0.81640625}, {"start": 2051.56, "end": 2052.82, "word": " يدخل", "probability": 0.9930419921875}, {"start": 2052.82, "end": 2053.64, "word": " الخيط", "probability": 0.9435221354166666}, {"start": 2053.64, "end": 2053.94, "word": " في", "probability": 0.90771484375}, {"start": 2053.94, "end": 2054.42, "word": " داخل", 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an", "probability": 0.849609375}, {"start": 2062.84, "end": 2063.68, "word": " otherwise", "probability": 0.849609375}, {"start": 2063.68, "end": 2064.46, "word": " flat", "probability": 0.78955078125}, {"start": 2064.46, "end": 2065.02, "word": " edge", "probability": 0.947265625}, {"start": 2065.02, "end": 2065.82, "word": " طبعا", "probability": 0.94775390625}, {"start": 2065.82, "end": 2066.28, "word": " جبل", "probability": 0.6123046875}, {"start": 2066.28, "end": 2066.44, "word": " ما", "probability": 0.974609375}, {"start": 2066.44, "end": 2066.84, "word": " بعمل", "probability": 0.9222005208333334}, {"start": 2066.84, "end": 2067.5, "word": " عملية", "probability": 0.9816080729166666}, {"start": 2067.5, "end": 2067.74, "word": " اللي", "probability": 0.831787109375}, {"start": 2067.74, "end": 2068.0, "word": " هو", "probability": 0.8740234375}, {"start": 2068.0, "end": 2068.64, "word": " تدخيل", "probability": 0.976806640625}, {"start": 2068.64, "end": 2069.38, "word": " 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1829, 39894, 14851, 9778, 40448, 8978, 20328, 8315, 27884, 13672, 1829, 31439, 11933, 9566, 9640, 9307, 28239, 11242, 9640, 9307, 37495, 9566, 1829, 24793, 18863, 31845, 10632], "avg_logprob": -0.11917067445241487, "compression_ratio": 1.864864864864865, "no_speech_prob": 7.68899917602539e-06, "words": [{"start": 2074.61, "end": 2074.91, "word": "انه", "probability": 0.587158203125}, {"start": 2074.91, "end": 2075.43, "word": " مايجرحش", "probability": 0.89208984375}, {"start": 2075.43, "end": 2075.85, "word": " المريض", "probability": 0.97705078125}, {"start": 2075.85, "end": 2076.17, "word": " لانه", "probability": 0.7561848958333334}, {"start": 2076.17, "end": 2076.27, "word": " مش", "probability": 0.70068359375}, {"start": 2076.27, "end": 2076.71, "word": " بيصير", "probability": 0.900634765625}, {"start": 2076.71, "end": 2076.89, "word": " ان", "probability": 0.73681640625}, {"start": 2076.89, "end": 2077.11, "word": " هو", "probability": 0.60107421875}, {"start": 2077.11, "end": 2077.75, "word": " contact", "probability": 0.83349609375}, {"start": 2077.75, "end": 2078.11, "word": " ما", "probability": 0.9150390625}, {"start": 2078.11, "end": 2078.33, "word": " بين", "probability": 0.98974609375}, {"start": 2078.33, "end": 2079.01, "word": " العدسة", "probability": 0.9710693359375}, {"start": 2079.01, "end": 2079.21, "word": " و", "probability": 0.984375}, {"start": 2079.21, "end": 2079.35, "word": " ما", "probability": 0.62841796875}, {"start": 2079.35, "end": 2079.59, "word": " بين", "probability": 0.9912109375}, {"start": 2079.59, "end": 2080.37, "word": " الوجه", "probability": 0.8795572916666666}, {"start": 2080.37, "end": 2081.17, "word": " فالان", "probability": 0.8819986979166666}, {"start": 2081.17, "end": 2081.37, "word": " لو", "probability": 0.978515625}, {"start": 2081.37, "end": 2081.63, "word": " هذا", "probability": 0.705078125}, {"start": 2081.63, "end": 2082.03, "word": " كان", "probability": 0.96826171875}, {"start": 2082.03, "end": 2082.53, "word": " رف", "probability": 0.950439453125}, {"start": 2082.53, "end": 2083.09, "word": " خشم", "probability": 0.9132486979166666}, {"start": 2083.09, "end": 2083.93, "word": " بتلاحظ", "probability": 0.94091796875}, {"start": 2083.93, "end": 2084.21, "word": " انه", "probability": 0.9140625}, {"start": 2084.21, "end": 2084.69, "word": " بسهولة", "probability": 0.93916015625}, {"start": 2084.69, "end": 2085.03, "word": " ايش", "probability": 0.873046875}, {"start": 2085.03, "end": 2085.65, "word": " بيعمل", "probability": 0.9525146484375}, {"start": 2085.65, "end": 2086.09, "word": " عملية", "probability": 0.98681640625}, {"start": 2086.09, "end": 2086.55, "word": " جرح", "probability": 0.9931640625}, {"start": 2086.55, "end": 2087.75, "word": " للمريض", "probability": 0.895263671875}, {"start": 2087.75, "end": 2088.91, "word": " نتوقف", "probability": 0.898681640625}, {"start": 2088.91, "end": 2089.05, "word": " ان", "probability": 0.8662109375}, {"start": 2089.05, "end": 2089.23, "word": " شاء", "probability": 0.980224609375}, {"start": 2089.23, "end": 2089.29, "word": " الله", "probability": 0.94970703125}, {"start": 2089.29, "end": 2089.79, "word": " لهنا", "probability": 0.6951904296875}, {"start": 2089.79, "end": 2090.49, "word": " في", "probability": 0.796875}, {"start": 2090.49, "end": 2091.15, "word": " المحاضرة", "probability": 0.9857177734375}, {"start": 2091.15, "end": 2091.99, "word": " القادمة", "probability": 0.9933268229166666}, {"start": 2091.99, "end": 2093.17, "word": " بنكمل", "probability": 0.9318033854166666}, {"start": 2093.17, "end": 2093.59, "word": " في", "probability": 0.939453125}, {"start": 2093.59, "end": 2094.01, "word": " موضوع", "probability": 0.991455078125}, {"start": 2094.01, "end": 2094.19, "word": " ال", "probability": 0.93896484375}, {"start": 2094.19, "end": 2094.73, "word": " material", "probability": 0.873046875}, {"start": 2094.73, "end": 2095.11, "word": " اللي", "probability": 0.81787109375}, {"start": 2095.11, "end": 2095.91, "word": " بتستخدم", "probability": 0.983154296875}, {"start": 2095.91, "end": 2096.57, "word": " في", "probability": 0.93701171875}, {"start": 2096.57, "end": 2097.51, "word": " صناعة", "probability": 0.9913736979166666}, {"start": 2097.51, "end": 2097.87, "word": " اللي", "probability": 0.6153564453125}, {"start": 2097.87, "end": 2098.33, "word": " هو", "probability": 0.93994140625}, {"start": 2098.33, "end": 2099.25, "word": " إطارات", "probability": 0.8709716796875}, {"start": 2099.25, "end": 2100.01, "word": " النضارات", "probability": 0.890380859375}, {"start": 2100.01, "end": 2100.61, "word": " يعطيكم", "probability": 0.8719482421875}, {"start": 2100.61, "end": 2100.99, "word": " العافية", "probability": 0.966796875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2101.1040625, "duration_after_vad": 1982.869374999993}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dgBhZsNDq1E.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dgBhZsNDq1E.srt
new file mode 100644
index 0000000000000000000000000000000000000000..fe48bf9b1023eca01340d1aa019b685ca62ed000
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dgBhZsNDq1E.srt
@@ -0,0 +1,785 @@
+1
+00:00:20,750 --> 00:00:23,590
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,590 --> 00:00:29,450
+وبركاته هنكمل في محاضرة  الـ major reference points
+
+3
+00:00:29,450 --> 00:00:34,070
+في المحاضرة السابقة تناولنا موضوع الـ horizontal
+
+4
+00:00:34,070 --> 00:00:39,350
+centration اليوم هنبدأ في موضوع الـ vertical
+
+5
+00:00:39,350 --> 00:00:48,580
+centration unless otherwise specified بمعنى ما لم
+
+6
+00:00:48,580 --> 00:00:58,440
+ينص على تجاهل ذلك تمامًا في أي optical laboratory  مصنع بصري
+
+7
+00:00:58,440 --> 00:01:04,020
+will make يعني سوف يصنع
+
+8
+00:01:06,370 --> 00:01:14,010
+عدسة  الـ optical center واحد، okay so that the
+
+9
+00:01:14,010 --> 00:01:20,790
+major reference point is centered vertically الآن
+
+10
+00:01:20,790 --> 00:01:26,970
+إحنا بدنا نغير طريقة اللي هو تمركز العدسة، بدل ما
+
+11
+00:01:26,970 --> 00:01:33,870
+كان يعتمد على الـ datum line أو الـ horizontal line
+
+12
+00:01:33,870 --> 00:01:37,450
+اللي في الـ boxing system، الآن إحنا بدنا نتعامل
+
+13
+00:01:37,450 --> 00:01:43,990
+مع الـ vertical line طيب، كيف أنا ممكن امركز اللي
+
+14
+00:01:43,990 --> 00:01:46,990
+هو الـ major reference point من خلال الـ vertical
+
+15
+00:01:46,990 --> 00:01:53,940
+centration؟ عن طريق halfway between the top and
+
+16
+00:01:53,940 --> 00:01:58,820
+bottom of the frame إذا بعمل عملية تقسيم ما بين ال
+
+17
+00:01:58,820 --> 00:02:02,140
+upper part و ال lower part أو ال top part و ال
+
+18
+00:02:02,140 --> 00:02:07,500
+bottom part للـ frame خلينا نشوف بالطريقة هذه
+
+19
+00:02:07,500 --> 00:02:12,020
+الآن عندنا .. إيش النظام هذا؟ Boxing system ..
+
+20
+00:02:12,020 --> 00:02:16,420
+okay الآن رحنا عملنا الـ marker بالمنتصف أو ال
+
+21
+00:02:16,420 --> 00:02:20,560
+optical center كيف عملنا halfway؟ هذه عندنا ال
+
+22
+00:02:20,560 --> 00:02:25,300
+top part وهذه عندنا ال bottom part والخط هذا جاء
+
+23
+00:02:25,300 --> 00:02:31,340
+اللي هو منصف لمين؟ للـ boxing تمام؟ لكن إيه؟
+
+24
+00:02:31,340 --> 00:02:34,260
+Vertical line واضح الفكرة؟
+
+25
+00:02:40,450 --> 00:02:44,950
+Low powered lenses made from traditional
+
+26
+00:02:44,950 --> 00:02:50,870
+materials seldom near a major reference point
+
+27
+00:02:50,870 --> 00:02:56,410
+height specified الآن لو مريض مثلًا عنده minus نص
+
+28
+00:02:56,410 --> 00:03:05,210
+أو عنده minus واحد أو عنده minus اتنين ورحنا
+
+29
+00:03:05,210 --> 00:03:10,170
+استخدمنا معه الـ traditional material زي مثلًا CR
+
+30
+00:03:10,170 --> 00:03:18,390
+39 تمام، قال لك أن تغيير الـ major reference point هنا
+
+31
+00:03:18,390 --> 00:03:24,530
+في هذه الحالة مش مهم كثير، يعني لا يعتبر ذا أهمية
+
+32
+00:03:24,530 --> 00:03:32,710
+كبيرة، أي بمعنى أنه مش هيأثر على المريض بشكل كبير
+
+33
+00:03:38,700 --> 00:03:45,840
+المشاكل البصرية اللي بتسبب بواسطة a vertical major
+
+34
+00:03:45,840 --> 00:03:51,640
+reference point placement that might need to be
+
+35
+00:03:51,640 --> 00:03:59,000
+above or below the vertical frame الآن وين هي
+
+36
+00:03:59,000 --> 00:04:03,640
+المشاكل البصرية اللي بتحدث؟ إحنا قلنا هي عندنا ال
+
+37
+00:04:03,640 --> 00:04:09,430
+optical center تمام، ما بين ال top و ال bottom bar
+
+38
+00:04:09,430 --> 00:04:16,310
+طيب، لو عملنا displacement أو displacement، إزاحة
+
+39
+00:04:16,310 --> 00:04:21,110
+لها بحيث أن أصبحت above أو below، هنجلب  الصورة
+
+40
+00:04:21,110 --> 00:04:26,990
+المشكلة، طيب هذه المشكلة هل تعتبر كبيرة في حالة ال
+
+41
+00:04:26,990 --> 00:04:33,440
+low power lens؟ قال لي لأ، مش مشكلة كبيرة، أو بمعنى
+
+42
+00:04:33,440 --> 00:04:39,380
+أنه ما بتكون اللي هو يعني شيء اللي هو فعال كثير
+
+43
+00:04:39,380 --> 00:04:43,720
+أو مؤثر كثير على المريض، لكن وين بيكون فعال أكثر؟
+
+44
+00:04:43,720 --> 00:04:47,680
+لما يكون عنده high power lens أو يكون مثلًا عندنا
+
+45
+00:04:47,680 --> 00:04:52,480
+material زي high index material أو عندنا مثلًا
+
+46
+00:04:52,480 --> 00:04:57,280
+aspheric design، هنا بيكون فيه تأثير واضح على
+
+47
+00:04:57,280 --> 00:04:57,960
+المريض
+
+48
+00:05:04,580 --> 00:05:08,580
+إذا are so minimal، minimal وين؟ في الـ low power
+
+49
+00:05:08,580 --> 00:05:15,380
+lens، okay، with low power lenses that few wearers
+
+50
+00:05:15,380 --> 00:05:21,280
+are ever bothered، يعني هيكون تأثيرها قليل وغير
+
+51
+00:05:21,280 --> 00:05:25,080
+ملحوظ بالنسبة لمين؟ للمريض، عارفين إشمالات
+
+52
+00:05:25,080 --> 00:05:29,240
+bothered؟ يعني بمعنى أنه مش هتدايق المريض كثير، أنه
+
+53
+00:05:29,240 --> 00:05:31,260
+مش هيشعر أنه بأي ضيق
+
+54
+00:05:33,700 --> 00:05:39,840
+طبعًا هذه في الـ low power، however this is not the
+
+55
+00:05:39,840 --> 00:05:44,960
+case when lens power increases لكن لو جينا مثلًا
+
+56
+00:05:44,960 --> 00:05:52,900
+عندنا minus 6 أو عندنا مثلًا plus 6، إذا في الـ high
+
+57
+00:05:52,900 --> 00:05:57,600
+power when different lens materials وغيرنا ال
+
+58
+00:05:57,600 --> 00:06:03,040
+material، استخدمنا مثلًا الـ high index material أو
+
+59
+00:06:03,040 --> 00:06:10,760
+استخدمنا مثلًا الـ aspheric design
+
+60
+00:06:10,760 --> 00:06:14,680
+أو
+
+61
+00:06:14,680 --> 00:06:19,160
+when aspheric lens designs are employed، أنه تم
+
+62
+00:06:19,160 --> 00:06:22,360
+اللي هو استخدامه، قال لي في هذه الحالة هيكون
+
+63
+00:06:22,360 --> 00:06:27,690
+التأثير واضح، كل ما زودت الـ power أو غيرت ال
+
+64
+00:06:27,690 --> 00:06:32,570
+material، هيتضايق المريض بشكل ملحوظ وهيكون التأثير
+
+65
+00:06:32,570 --> 00:06:37,790
+أكبر، in
+
+66
+00:06:37,790 --> 00:06:44,750
+these instances، يعني في هذه الحالات، vertical major
+
+67
+00:06:44,750 --> 00:06:50,750
+reference point placement becomes important، في
+
+68
+00:06:50,750 --> 00:06:54,720
+حالات الـ high power lens، الـ High Index Material،
+
+69
+00:06:54,720 --> 00:07:00,040
+الـ Aspheric Design، تعتبر هذه النقطة ذات أهمية كبيرة
+
+70
+00:07:00,040 --> 00:07:07,340
+لا يمكن تجاهلها، طيب ما هو الحل؟ كيف أنا بدي أعمل
+
+71
+00:07:07,340 --> 00:07:12,940
+عملية حل للـ Vertical Centration عند المريض؟
+
+72
+00:07:30,880 --> 00:07:36,280
+طيب عندنا major reference point height، هذه عبارة
+
+73
+00:07:36,280 --> 00:07:45,340
+عن تعريفها، قال لي is the distance، المسافة، from the
+
+74
+00:07:45,340 --> 00:07:51,760
+lower line of the box، شايفين؟ من أقصى أو أبعد نقطة
+
+75
+00:07:51,760 --> 00:07:55,800
+موجودة على نهاية مين؟ الـ box، الصندوق
+
+76
+00:07:58,460 --> 00:08:05,000
+إذا أبعد نقطة في اللي هو الصندوق، in closing the
+
+77
+00:08:05,000 --> 00:08:11,300
+shape، بتعمل عملية إغلاق للشكل، of the lens up to
+
+78
+00:08:11,300 --> 00:08:16,180
+the major reference point location، إذا بتظلها
+
+79
+00:08:16,180 --> 00:08:22,520
+لوين؟ لنقطة رؤية المريض، يعني هذه بتمثل الـ optical
+
+80
+00:08:22,520 --> 00:08:28,820
+center للمريض، إذا مرة أخرى الـ vertical centration
+
+81
+00:08:28,820 --> 00:08:36,360
+هي عبارة عن المسافة الواصلة ما بين أبعد نقطة، تمام،
+
+82
+00:08:36,360 --> 00:08:42,080
+اللي بتكون محاذية من للـ bottom أو الـ lower part
+
+83
+00:08:42,080 --> 00:08:48,160
+للصندوق، للـ optical center لهذا المريض، اللي هي
+
+84
+00:08:48,160 --> 00:08:53,620
+بتمثل من الـ major reference point في حالة ال
+
+85
+00:08:53,620 --> 00:08:55,200
+vertical centration
+
+86
+00:08:59,710 --> 00:09:03,170
+طيب، إذا هذه المسافة كلها عبارة عن الـ major
+
+87
+00:09:03,170 --> 00:09:11,810
+reference height، طيب
+
+88
+00:09:11,810 --> 00:09:18,070
+الآن المسافة من هنا لهنا بتمثل B، صح؟ طيب نصفها
+
+89
+00:09:18,070 --> 00:09:22,090
+هتكون B/2، واضحة؟ يعني الـ major reference point
+
+90
+00:09:22,090 --> 00:09:25,110
+عبارة عن 1/2، نصف
+
+91
+00:09:28,380 --> 00:09:33,680
+The laboratory must convert، المصنع إيش بده يعمل
+
+92
+00:09:33,680 --> 00:09:39,780
+عملية تحويل، from major reference point height to
+
+93
+00:09:39,780 --> 00:09:45,140
+major reference point raise or drop، الآن قال
+
+94
+00:09:45,140 --> 00:09:49,160
+للمصنع، إذا إحنا حافظنا على الاسم كما هو، الـ major
+
+95
+00:09:49,160 --> 00:09:54,640
+reference point،  هالـ أطباء أو الأخصائيين اللي
+
+96
+00:09:54,640 --> 00:09:58,400
+بيشتغلوا في هذا المجال هيخربطوا بين المصطلحين
+
+97
+00:09:58,400 --> 00:10:02,360
+major reference point و major reference raise أو
+
+98
+00:10:02,360 --> 00:10:06,720
+drop، قال بدل ما نقول major reference point، هنسمي
+
+99
+00:10:06,720 --> 00:10:14,880
+إيش النقطة هذه؟ major rise
+
+100
+00:10:14,880 --> 00:10:19,980
+أو بنسميها drop، يعني بدل مصطلح الـ major reference
+
+101
+00:10:19,980 --> 00:10:25,540
+point، تمام، هذه وين موجودة؟ على الـ optical center
+
+102
+00:10:25,540 --> 00:10:31,820
+للمريض، إذا
+
+103
+00:10:31,820 --> 00:10:36,260
+major reference point raise أو major reference
+
+104
+00:10:36,260 --> 00:10:37,260
+point drop
+
+105
+00:10:40,730 --> 00:10:45,590
+if the position of the major reference point is
+
+106
+00:10:45,590 --> 00:10:51,430
+given in terms of height from the lowermost
+
+107
+00:10:51,430 --> 00:10:56,950
+portion of the box، إذا هي مثلّت إيش؟ الجزء السفلي
+
+108
+00:10:56,950 --> 00:11:03,750
+من الصندوق، صح ولا لأ؟ يعني الـ lower part، drop or
+
+109
+00:11:03,750 --> 00:11:09,190
+raise can be calculated، كيف أنا ممكن أحسبها؟ من
+
+110
+00:11:09,190 --> 00:11:09,690
+خلال
+
+111
+00:11:12,320 --> 00:11:19,960
+بعمل عملية طرح، one half of the B، التي هي عبارة عن
+
+112
+00:11:19,960 --> 00:11:25,660
+B/2، نصف اللي هو الـ B dimension، from major
+
+113
+00:11:25,660 --> 00:11:27,200
+reference point height
+
+114
+00:11:32,840 --> 00:11:36,640
+الـ Vertical Centration إيش بيساوي؟ الـ Major
+
+115
+00:11:36,640 --> 00:11:40,780
+Reference Point Height ناقص الـ B/2، هذا عبارة
+
+116
+00:11:40,780 --> 00:11:45,500
+عن الـ Vertical Decentration، طب ليش قلنا B/2؟
+
+117
+00:11:45,500 --> 00:11:50,380
+لأنه هو بس أخذ الـ lower part، نرجع مرة ثانية للشكل
+
+118
+00:11:57,510 --> 00:12:01,790
+هنرجع مرة ثانية يا جماعة، أنه إحنا مثلنا فقط من ال
+
+119
+00:12:01,790 --> 00:12:07,050
+lower part للـ box، فالآن عندنا الـ vertical
+
+120
+00:12:07,050 --> 00:12:11,010
+centration، إيش بيساوي؟ الـ major reference height
+
+121
+00:12:11,010 --> 00:12:18,010
+تمام، بتطرح من اللي هو نصف من الـ B، قيمة اللي هو الـ B
+
+122
+00:12:18,010 --> 00:12:22,230
+إيش بتمثل الـ B؟ هي الـ B dimension
+
+123
+00:12:25,300 --> 00:12:31,400
+الـ Depth، العمق 100%، صح ولا لأ؟ إذًا هي عبارة عن
+
+124
+00:12:31,400 --> 00:12:34,880
+العمق، مش أخذنا الـ A dimension و الـ B dimension
+
+125
+00:12:34,880 --> 00:12:38,960
+أنه بتمثل عندنا الـ lens size وعندنا الـ depth
+
+126
+00:12:38,960 --> 00:12:46,280
+للإطار أو الـ frame، نأخذ هنا مثلًا، An order
+
+127
+00:12:46,280 --> 00:12:49,180
+specifies
+
+128
+00:12:49,950 --> 00:12:55,330
+a major reference height of 25 millimeter، إذا
+
+129
+00:12:55,330 --> 00:13:00,050
+نرجع للشكل، هي
+
+130
+00:13:00,050 --> 00:13:03,430
+عندنا الـ major reference point height إيش بيساوي؟
+
+131
+00:13:03,430 --> 00:13:14,730
+خمسة وعشرين millimeter، okay، the
+
+132
+00:13:14,730 --> 00:13:17,290
+frame has a vertical
+
+133
+00:13:20,500 --> 00:13:26,740
+The frame has a vertical dimension B of 46
+
+134
+00:13:26,740 --> 00:13:33,880
+millimeter، إذا عندنا قيمة الـ B أو الـ depth 46
+
+135
+00:13:33,880 --> 00:13:39,660
+millimeter، إذا عندنا قيمة الـ B/2، ثلاثة وعشرين
+
+136
+00:13:39,660 --> 00:13:45,800
+millimeter، إذا B/2 بتساوي ثلاثة وعشرين
+
+137
+00:13:45,800 --> 00:13:46,980
+millimeter
+
+138
+00:13:55,450 --> 00:14:00,470
+طيب، إيش المطلوب؟ بدنا نحسب قد إيش قيمة الـ major
+
+139
+00:14:00,470 --> 00:14:05,850
+reference point raised أو اللي هو drop في السؤال
+
+140
+00:14:05,850 --> 00:14:10,930
+إذا عندنا، بدنا نحسب قيمة الـ vertical dimension، إيش
+
+141
+00:14:10,930 --> 00:14:14,670
+القانون؟ vertical dimension بيساوي major reference
+
+142
+00:14:14,670 --> 00:14:20,150
+point ناقص B/2، طيب قد إيش عندنا الـ major
+
+143
+00:14:20,150 --> 00:14:24,340
+reference point؟ الـ major reference point خمسة وعشرين
+
+144
+00:14:24,340 --> 00:14:28,820
+تمام، okay، بدها تنطرح من مين؟ من الثلاثة وعشرين
+
+145
+00:14:28,820 --> 00:14:32,760
+بطلع اللي هو إثنين، طيب الإثنين هيكون
+
+146
+00:14:32,760 --> 00:14:38,720
+up ولا down؟ هي جاية من تحت، up لفوق، صح ولا لأ؟ هي
+
+147
+00:14:38,720 --> 00:14:46,170
+الشكل، الآن عندنا قيمة الـ major reference point
+
+148
+00:14:46,170 --> 00:14:50,730
+خمسة وعشرين وعندنا قيمة الـ B/2 ثلاثة وعشرين
+
+149
+00:14:50,730 --> 00:14:55,450
+إذا هي كلها إثنين واقعة في الـ lower position، إذا
+
+150
+00:14:55,450 --> 00:14:58,850
+أنا بدي أرفع الـ optical center لمين؟ للعدسة لفوق
+
+151
+00:14:58,850 --> 00:15:06,830
+إذا هتكون إثنين ملي up، في شغل مهم برضه يمكن
+
+152
+00:15:06,830 --> 00:15:13,530
+تلاحظوه، أن قيمة الـ major reference point أكبر من
+
+153
+00:15:13,530 --> 00:15:20,370
+مين؟ من B/2، يعني أكبر من اللي هو نصف العمق، طيب
+
+154
+00:15:20,370 --> 00:15:26,650
+هل دائمًا هذا الكلام؟ هو يعتبر غالبًا، غالبًا قيمة الـ
+
+155
+00:15:26,650 --> 00:15:29,590
+major reference point، طبعًا أنا بتكلم على single
+
+156
+00:15:29,590 --> 00:15:35,030
+vision lens، بيكون أكبر من مين؟ من الـ B/2
+
+157
+00:15:44,580 --> 00:15:51,080
+Okay، it can be seen that since the major reference
+
+158
+00:15:51,080 --> 00:15:55,520
+point height is greater than half of the B
+
+159
+00:15:55,520 --> 00:16:02,500
+dimension, the lens is moved 2 mm up، من اللي هو
+
+160
+00:16:02,500 --> 00:16:05,980
+وين؟ الـ major reference point، يعني بدنا نعمل ال
+
+161
+00:16:05,980 --> 00:16:07,940
+decentralization 2 mm لأعلى
+
+162
+00:16:13,620 --> 00:16:18,580
+المثال الثاني عندنا
+
+163
+00:16:18,580 --> 00:16:22,780
+قيمة الـ A dimension خمسين ملي، إذا هذه إيش بتمثل؟
+
+164
+00:16:22,780 --> 00:16:28,900
+الـ I size أو الـ length size، الـ B dimension اللي هي
+
+165
+00:16:28,900 --> 00:16:33,960
+عبارة عن الـ depth، العمق، ثلاثين ملي، من هنا إيش بجيب؟
+
+166
+00:16:33,960 --> 00:16:41,620
+الـ B/2، إذا هي قد إيش بتساوي؟ خمسة عشر، صح؟ طيب الـ
+
+167
+00:16:41,620 --> 00:16:46,400
+distance between lenses عشرين ملي، إذا من هنا بجيب
+
+168
+00:16:46,400 --> 00:16:50,800
+مين؟ الـ frame PD، قد إيش قيمة الـ frame PD؟ عشرين
+
+169
+00:16:50,800 --> 00:16:56,240
+زائد خمسين، سبعين، واضحة؟ طيب الـ major reference
+
+170
+00:16:56,240 --> 00:17:01,620
+height قد إيش بتساوي؟ ثمانية وعشرين، أول قضيّة إيش بدنا نحسب؟
+
+171
+00:17:08,010 --> 00:17:13,850
+الآن هو معطيني الـ IPD بتساوي
+
+172
+00:17:13,850 --> 00:17:23,370
+أربعة وستين ملي وعندنا الـ frame PD سبعين
+
+173
+00:17:23,370 --> 00:17:28,270
+ملي، إذا من هنا أنا بحسب مين؟ الـ horizontal
+
+174
+00:17:28,270 --> 00:17:33,070
+decentration، صح؟
+
+175
+00:17:35,110 --> 00:17:39,310
+الآن مين أكبر؟ الـ frame PD ولا الـ IPD؟ الـ frame PD
+
+176
+00:17:39,310 --> 00:17:44,110
+الفرق بينهم قد إيش؟ ستة، إذا هيكون إيش؟ ثلاثة ملي in
+
+177
+00:17:44,110 --> 00:17:50,170
+ولا out؟ in بالضبط، طيب هذه نقطة حلّيناها، الآن بدنا
+
+178
+00:17:50,170 --> 00:17:54,350
+نجيب الـ vertical، إيش المطلوب في السؤال؟ الـ vertical
+
+179
+00:17:54,350 --> 00:17:59,800
+decentration، آه الـ Center للّي هو العدسة، إحنا
+
+180
+00:17:59,800 --> 00:18:03,540
+حسبنا الآن مين؟ الـ Horizontal، بده أجيب الآن الـ
+
+181
+00:18:03,540 --> 00:18:06,780
+Vertical، الآن الـ Vertical Decentration إيش
+
+182
+00:18:06,780 --> 00:18:11,440
+بتساوي؟ Major Reference Point ناقص نص الـ B، قد إيش
+
+183
+00:18:11,440 --> 00:18:16,280
+الـ Major Reference Point؟ ثمانية وعشرين ناقص خمسة عشر، كده
+
+18
+
+223
+00:22:10,740 --> 00:22:15,220
+vertical centration هل بقدر أحسبه؟ بالضبط قيمة ال
+
+224
+00:22:15,220 --> 00:22:18,840
+B مش معطلة، إذا  هان المعلومات الـ information
+
+225
+00:22:18,840 --> 00:22:23,120
+المتوفرة غير كافية، لو أداني قيمة الـ depth أو
+
+226
+00:22:23,120 --> 00:22:27,800
+أداني قيمة نص الـ B ممكن أنا بقدر أحسب اللي هو قيمة
+
+227
+00:22:27,800 --> 00:22:34,410
+مين؟ الـ what I call الـ vertical decentration. Okay
+
+228
+00:22:34,410 --> 00:22:37,970
+إذا هان حسبنا خمسة ملي هي عبارة عن الـ major
+
+229
+00:22:37,970 --> 00:22:43,210
+reference point أو الـ optical center للعدسة. واضح
+
+230
+00:22:43,210 --> 00:22:48,910
+السؤال؟ ولا كيف؟ تمام. يعطيكم العافية إن شاء الله.
+
+231
+00:22:48,910 --> 00:22:53,190
+المحاضرة الجاية بنبدأ في موضوع الـ oral
+
+232
+00:22:53,190 --> 00:22:57,330
+presentation. لحد ما ننتهي منه بعد ذلك إن شاء الله.
+
+233
+00:22:57,330 --> 00:23:02,440
+بنعمل الـ revision كامل للمصادر بعد ما أنتو
+
+234
+00:23:02,440 --> 00:23:05,020
+بتعملوا عملية المراجعة إن شاء الله في البيت. يعطيكم
+
+235
+00:23:05,020 --> 00:23:05,420
+العافية
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dkSSA11WIuU_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dkSSA11WIuU_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..f085282d870ce8d89d2bf3f715ed9c8ac5189845
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/dkSSA11WIuU_postprocess.srt
@@ -0,0 +1,1452 @@
+1
+00:00:21,110 --> 00:00:23,870
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:23,870 --> 00:00:30,210
+وبركاته ومرحبا لكم جميعا سنبدأ ان شاء الله اليوم
+
+3
+00:00:30,210 --> 00:00:37,050
+في آخر محاضرة للطالبات بعنوان frames, parts and
+
+4
+00:00:37,050 --> 00:00:42,090
+types بنتمنى ان شاء الله لكم وقت ممتع ومناقشة
+
+5
+00:00:42,090 --> 00:00:48,130
+مفيدة فيما بعد ان شاء الله فضلبسم الله الرحمن
+
+6
+00:00:48,130 --> 00:00:51,190
+الرحيم السلام عليكم و رحمة الله و بركاته اليوم راح
+
+7
+00:00:51,190 --> 00:00:53,990
+نقدملكم presentation بعنوان ال frame parts and
+
+8
+00:00:53,990 --> 00:00:58,410
+type في مصادف ال distancing لدكتور محمد الشروشة بس
+
+9
+00:00:58,410 --> 00:01:02,570
+قبل ما نحكي عن ال frame parts و type نتعرف إيش هو
+
+10
+00:01:02,570 --> 00:01:06,440
+ال frames في اللي هوفي علم البصريات او في علم ال
+
+11
+00:01:06,440 --> 00:01:09,400
+dispensing ال frame هو عبارة عن جزء من النضارة
+
+12
+00:01:09,400 --> 00:01:13,340
+بستخدمه عشان احط فيه العدسات بحيث انها تيجي في
+
+13
+00:01:13,340 --> 00:01:15,740
+المكان الصحيح بالدهن عن ان المريض ماتعملش عنده
+
+14
+00:01:15,740 --> 00:01:19,440
+prismatic effect ال definition of ال frame حكيته
+
+15
+00:01:19,440 --> 00:01:22,840
+تاوله هو ان ال part of spectacle that holds the
+
+16
+00:01:22,840 --> 00:01:25,420
+lenses containing authentic description and a
+
+17
+00:01:25,420 --> 00:01:27,120
+proper position on the front of the eye
+
+18
+00:01:30,410 --> 00:01:34,070
+أولاش رح نحكي على مكونات ال frame و بعدين رح ننتقل
+
+19
+00:01:34,070 --> 00:01:38,650
+بالعزيز على الأنواع المكونات ال frame بشكل أساسي
+
+20
+00:01:38,650 --> 00:01:41,650
+اللي هم ال front بالتمبل و كل واحد طبعا بتتكون من
+
+21
+00:01:41,650 --> 00:01:47,790
+مكونات ال front هي الجزء اللي بأوضع فيه العدسة
+
+22
+00:01:47,790 --> 00:01:51,870
+بتاعة المريض و ال temples برضه هي بتساعد أنها
+
+23
+00:01:51,870 --> 00:01:54,530
+بتكون بتتصل بال front و بتساعد كمان أنها تثبتلي
+
+24
+00:01:54,530 --> 00:02:00,610
+إياها قدام عين المريض و ..اه انها بتيجي ورا أذن ال
+
+25
+00:02:00,610 --> 00:02:05,270
+.. المريض بحيث انها يعني اتزيد من ال .. تثبيت
+
+26
+00:02:05,270 --> 00:02:06,190
+المضارة
+
+27
+00:02:08,590 --> 00:02:11,710
+طيب بالجدأ هنتعرف على مكونات ال frame و ال front
+
+28
+00:02:11,710 --> 00:02:16,290
+تقريبا في عندي أربع أو خمس مكونات أول حاجة عندي
+
+29
+00:02:16,290 --> 00:02:19,850
+منطقة ال bridge هي عبارة عن منطقة بتربط بين two
+
+30
+00:02:19,850 --> 00:02:25,410
+lenses و أهم إنها هي بت .. بتكون على العضمة القنف
+
+31
+00:02:25,410 --> 00:02:30,390
+عشان الوزن الإيطاري الخفو عشان توزع الوزنوكمان عند
+
+32
+00:02:30,390 --> 00:02:34,990
+ال eye mirror او ال rim هذه بتكون حوالين العدسة
+
+33
+00:02:34,990 --> 00:02:39,590
+بتعمل دعم للعدسة و قد تكون partially او بشكل كامل
+
+34
+00:02:39,590 --> 00:02:42,890
+كذلك كمان عند ال L piece او ممكن نسميها ال temple
+
+35
+00:02:42,890 --> 00:02:48,250
+tip ال L piece طبعا موجودة في أطرا في ال frame
+
+36
+00:02:48,250 --> 00:02:53,590
+front و هي أهميتها ان هذا المنطقة تتفاق مع ال
+
+37
+00:02:53,590 --> 00:02:58,250
+frontو الشيل طبعا الشيل بتتقع برضه في ال MPS و هي
+
+38
+00:02:58,250 --> 00:03:02,990
+حاليا في ال recent years هي بس cosmetic يعني
+
+39
+00:03:02,990 --> 00:03:06,790
+مايلها علاقة في ال attachment بس قبل كان يعني إلها
+
+40
+00:03:06,790 --> 00:03:10,530
+علاقة و كان إلها دور في ال attachment ال nose pad
+
+41
+00:03:10,530 --> 00:03:14,590
+مش كل الإطارات بيكون فيها nose pad ال nose pad هي
+
+42
+00:03:14,590 --> 00:03:18,750
+عبارة عن قطعة بلاستيكية بتكون هنا على جوانب الأنف
+
+43
+00:03:18,750 --> 00:03:25,210
+برضه عشان وزن ال ..الاطار و طبعا بتتصل بالعدسة ..
+
+44
+00:03:25,210 --> 00:03:29,710
+بتتصل بال frame front عن طريق metal arm بسميه ال
+
+45
+00:03:29,710 --> 00:03:35,750
+bad arm او ال god armطيب بعدين هنا عندى المكونات
+
+46
+00:03:35,750 --> 00:03:39,530
+التنبل اللى هو الجزء التانى من المكونات ال frame
+
+47
+00:03:39,530 --> 00:03:42,910
+أول حاجة عندى ال both portion هي عبارة عن أقرب
+
+48
+00:03:42,910 --> 00:03:46,470
+منطقة لل front و فيها بيصير ال attachment مع ال
+
+49
+00:03:46,470 --> 00:03:50,610
+front بعدين عند اللى هو منطقة الشافت أو الشانك هي
+
+50
+00:03:50,610 --> 00:03:54,330
+المنطقة بين ال both portion و ال bend ال bend هو
+
+51
+00:03:54,330 --> 00:03:59,340
+أول انحناء لل تنبل يعني لما تنهنىهذا ال .. هو ان
+
+52
+00:03:59,340 --> 00:04:02,800
+ال bell بعدين عندي اللي هو ال earpiece او ال bell
+
+53
+00:04:02,800 --> 00:04:06,460
+down portion او ممكن اسميها ال pearl هذي بتكون ورا
+
+54
+00:04:06,460 --> 00:04:10,700
+أدن المريض عشان انا ال .. ال .. ال .. ال .. هذا
+
+55
+00:04:10,700 --> 00:04:16,040
+ماتوجعش عشان .. عشان عملتي التطبيق بتكون قدام عنا
+
+56
+00:04:16,040 --> 00:04:20,120
+المريض بعدين عندي double hole هذي اللي كنت فيها زي
+
+57
+00:04:20,120 --> 00:04:23,200
+ال pearl و هيك عشان ال attachment اختي بيعملني
+
+58
+00:04:23,200 --> 00:04:24,220
+نظرتك لو سمحت
+
+59
+00:04:28,060 --> 00:04:31,600
+هذه ال frame front اللى حكينا عنها هذا منطقة ال
+
+60
+00:04:31,600 --> 00:04:38,040
+bridge و هذا ال nose pad تبعه وهذا منطقة ال in
+
+61
+00:04:38,040 --> 00:04:40,840
+base وهذا ال eye wear بلاحظة هنا ال eye wear
+
+62
+00:04:40,840 --> 00:04:44,240
+حوالين العدسة بشكل كامل فى إطارات بتكون بشكل جزء
+
+63
+00:04:44,240 --> 00:04:48,440
+مش بشكل كامل و هذا منطقة ال temple هى هنا منطقة ال
+
+64
+00:04:48,440 --> 00:04:51,480
+butt portion بعدين تيجي عند الشان بعدين هنا بداية
+
+65
+00:04:51,480 --> 00:04:54,660
+الانحناء هذا اللى هى ال bend و هذا اللى هى عبارة
+
+66
+00:04:54,660 --> 00:04:56,780
+عن ال air base
+
+67
+00:05:03,970 --> 00:05:07,910
+هذا بيحكي لي ان في بعض الإطارات مابيكونش فيها
+
+68
+00:05:07,910 --> 00:05:12,390
+temples ب .. كيف .. بنجأ لطرق تانية ان احطها جدا
+
+69
+00:05:12,390 --> 00:05:16,230
+للعين مثلا ان يكون إليها إيد بمسكها منها وهذه
+
+70
+00:05:16,230 --> 00:05:20,710
+بسميها ال learning ten أو ممكن أوصلها مع إطار تاني
+
+71
+00:05:20,710 --> 00:05:25,170
+اللي هي بسميها ال clip-ons وكمان ممكن ان اثبتها
+
+72
+00:05:25,170 --> 00:05:29,970
+على ال nose هنا و بسميها اللي هو ال .. ال pinsنزل
+
+73
+00:05:29,970 --> 00:05:34,410
+تمام هي hold in piece by ال pressure on the
+
+74
+00:05:34,410 --> 00:05:37,650
+southern nose يعني بتكون تلغط على جوانب الآن ال
+
+75
+00:05:37,650 --> 00:05:41,370
+clip on attachment on another frame و lyric tense
+
+76
+00:05:41,370 --> 00:05:44,770
+being held in the hand يعني بيمسكها بإيده و بيحطها
+
+77
+00:05:44,770 --> 00:05:49,730
+قدام العين بس هو بشكل عام الإطارات اتكون من temple
+
+78
+00:05:49,730 --> 00:05:55,560
+و frontطيب احنا اللي حكينا عن ال temple على ال
+
+79
+00:05:55,560 --> 00:06:00,180
+front هم بكونوا مفصلين عن بعض بس انا كيف بوصلهم عن
+
+80
+00:06:00,180 --> 00:06:03,740
+طريق ال hang اللي هو المفصل هاي ال hang hold the
+
+81
+00:06:03,740 --> 00:06:08,120
+temples to the front و بتربط ليهم مع بعضهم تتكون
+
+82
+00:06:08,120 --> 00:06:11,660
+من عدد فردي من ال barrels قد يكون تلاتة و قد يكون
+
+83
+00:06:11,660 --> 00:06:16,450
+خمسة و قد يكون سبعةطبعا ال construction لل hing من
+
+84
+00:06:16,450 --> 00:06:21,470
+frame لآخر بختلفة بس عشان أسهل عملية التصنيف كيف
+
+85
+00:06:21,470 --> 00:06:26,850
+أصنف ال hing بحكي لممكن أصنفها حسب اللي هو العدد
+
+86
+00:06:26,850 --> 00:06:31,450
+لل barrels مثلا ممكن لو كان عندى ثلاثة أسميه three
+
+87
+00:06:31,450 --> 00:06:35,210
+barrel hing لو كان عندى خمسة هسميه five barrel
+
+88
+00:06:35,210 --> 00:06:35,730
+hing
+
+89
+00:06:40,970 --> 00:06:45,950
+طيب هيك بيكون خلصنا احنا مكونات ال frame الأساسية
+
+90
+00:06:45,950 --> 00:06:50,390
+بعدين رح نتعرف على ال types of ال frame أول حاجة
+
+91
+00:06:50,390 --> 00:06:53,570
+انا هحكيهم هيك بشكل عام واشي مختصر عنهم و بعدين
+
+92
+00:06:53,570 --> 00:06:58,360
+أزملاتي رح يفصلوا فيهمأول حاجة عندي ال plastic
+
+93
+00:06:58,360 --> 00:07:02,680
+frames طبعا ال .. في ال recent years النوع ..
+
+94
+00:07:02,680 --> 00:07:04,960
+الأنواع المواد البلاستيكية بيستخدمها في صناعة
+
+95
+00:07:04,960 --> 00:07:09,040
+الإطارات كتيرة عشان هيك بشكل عام بحكي عنها plastic
+
+96
+00:07:09,040 --> 00:07:13,700
+ال metal نفس الشغلة عندي عدة مواد من ال metal و
+
+97
+00:07:13,700 --> 00:07:16,560
+حسب كل meter اللي له خصائص لو كان مثلا شخص عنده
+
+98
+00:07:16,560 --> 00:07:19,780
+حساسين من ال metal معين بيستخدمله metal آخر ال
+
+99
+00:07:19,780 --> 00:07:24,430
+nylon cordو ال combination بتكون المزيش بين ال
+
+100
+00:07:24,430 --> 00:07:28,170
+plastic و ال metal و ال rimless و السيمة rimless و
+
+101
+00:07:28,170 --> 00:07:31,890
+ال half-ahed و ال ناس اللي عندهم ال breast طياب و
+
+102
+00:07:31,890 --> 00:07:34,810
+شكرا لاستماعكم و اللي جاتة راح نكمل مع ماريا من
+
+103
+00:07:34,810 --> 00:07:39,880
+أشجارOkay we will talk about the types of the
+
+104
+00:07:39,880 --> 00:07:42,940
+frame, in the first the plastic, also referred as
+
+105
+00:07:42,940 --> 00:07:47,500
+shell frame or ruazel, اول ما بدنا نستخدم الفريمات
+
+106
+00:07:47,500 --> 00:07:51,700
+بدوا يستخدموا إطارة الإطارات اللي هو البلاستيكية
+
+107
+00:07:51,700 --> 00:07:56,580
+تمام؟الاطارات هو البلاستيكية قديما هو كانوا
+
+108
+00:07:56,580 --> 00:08:00,140
+يعتبروها اللي هو a shell يعني ..شو يعني shell؟
+
+109
+00:08:00,140 --> 00:08:04,200
+يعني كإجمال الإطار كله plastic تمام؟ أول هو شغلة
+
+110
+00:08:04,200 --> 00:08:08,120
+لما بلشوا يصنعوا الإطارات كانت بتصنع من مادة اللي
+
+111
+00:08:08,120 --> 00:08:11,140
+هو ال zelonite اللي هو ال cellulose nitrate عشان
+
+112
+00:08:11,140 --> 00:08:13,920
+هيك أطلقوا على ال .. ال plastic friends اسم اللي
+
+113
+00:08:13,920 --> 00:08:16,920
+هو andexel لإنهم كانوا يستخدموا ال zelonite ال
+
+114
+00:08:16,920 --> 00:08:21,890
+cellulose nitrateتمام لكن وجدوا انه هاي ال .. ال
+
+115
+00:08:21,890 --> 00:08:26,410
+cellulose nitrate وجدوها انه ايش .. هاي المادة
+
+116
+00:08:26,410 --> 00:08:30,490
+قابلة للاجتعال inflammable okay راحوا استبدلوها
+
+117
+00:08:30,490 --> 00:08:35,210
+بمادة أخرى اللي هي ال cellulose lignic acetate لكن
+
+118
+00:08:35,210 --> 00:08:40,790
+مفهوم ذال مازال يطلب على الإطارات البلاستيكية بشكل
+
+119
+00:08:40,790 --> 00:08:45,260
+اللي هو عامAlso referred .. plastics also referred
+
+120
+00:08:45,260 --> 00:08:47,880
+as a shell frame or a shell firstly it was made
+
+121
+00:08:47,880 --> 00:08:50,960
+from a tertoisal shell كانت مصنوعة من أظام
+
+122
+00:08:50,960 --> 00:08:54,520
+السلحفاة then formed zeolite cellulose nitrate now
+
+123
+00:08:54,520 --> 00:08:57,540
+it's made of a plastic material they commonly used
+
+124
+00:08:57,540 --> 00:08:59,820
+plastic material is a cellulose acetate
+
+125
+00:08:59,820 --> 00:09:08,660
+inexpensive أكيد plastic
+
+126
+00:09:08,660 --> 00:09:12,400
+frame materialsمش هو المواد اللي بيصنعوا منها
+
+127
+00:09:12,400 --> 00:09:14,900
+الإيطارات البلاستيكية؟ أول شيء اللي عندك cellulose
+
+128
+00:09:14,900 --> 00:09:19,040
+acetate تمام؟ و هاي اللي هجيت أنا بستخدمها الشائعة
+
+129
+00:09:19,040 --> 00:09:21,940
+في استخدام ال .. في صناعة الإيطارات البلاستيكية
+
+130
+00:09:21,940 --> 00:09:26,180
+عندك ال probionate okay اللي هو الملح الحامض ال
+
+131
+00:09:26,180 --> 00:09:29,980
+probionate الoptile ال polycarbonate في عندك ال
+
+132
+00:09:29,980 --> 00:09:32,660
+nylon في عندك ال rubber اللي هو المطاط في عندك ال
+
+133
+00:09:32,660 --> 00:09:35,340
+carbon fibers و ال combination of ال plastic
+
+134
+00:09:35,340 --> 00:09:36,260
+materials okay
+
+135
+00:09:43,840 --> 00:09:48,800
+الـ metal frame material okay هلجيت روح نحكي خلصنا
+
+136
+00:09:48,800 --> 00:09:51,900
+ال plastic روح نحكي عن اللي هو ال metal شو هي ال
+
+137
+00:09:51,900 --> 00:09:56,410
+metal المعدن الإطارات اللي هو المعدنية تمام؟هي
+
+138
+00:09:56,410 --> 00:09:59,110
+ممكن اكتر اللي هو عندك من مادة ممكن هي ال metal
+
+139
+00:09:59,110 --> 00:10:01,770
+تكون مصنوعة من مكنيسيوم ممكن ال bronos ممكن
+
+140
+00:10:01,770 --> 00:10:05,270
+تيتانيوم ممكن stainless steel ممكن ألمونيوم ممكن
+
+141
+00:10:05,270 --> 00:10:08,610
+نايكل based material يعني ممكن تكون مثلا pure
+
+142
+00:10:08,610 --> 00:10:12,470
+نايكل نايكل هو عندك خام ممكن نايكل silver يعني
+
+143
+00:10:12,470 --> 00:10:21,430
+نايكل مع فضة و ال monal هو material metal
+
+144
+00:10:21,430 --> 00:10:24,570
+frame شو هي ال metal عندك في ال frameأول شغلة زى
+
+145
+00:10:24,570 --> 00:10:29,490
+ما احنا اللى هو عندك شايفين ال metal frame عبارة
+
+146
+00:10:29,490 --> 00:10:33,610
+عن إطارات تمام؟ الإطارات كلها بتكون عبارة عن metal
+
+147
+00:10:33,610 --> 00:10:37,950
+except two areas ال nose pads و ال temple اللى هو
+
+148
+00:10:37,950 --> 00:10:41,830
+تاج ليش هاي ال .. هاي المواد .. هاي الأماكن ال
+
+149
+00:10:41,830 --> 00:10:46,730
+areas ما صنعت من ال metal؟ لإن أول شغلةهنا عشان ال
+
+150
+00:10:46,730 --> 00:10:49,950
+comfort لإنه لو كانت .. لو تخيلنا إن ال nose بدا
+
+151
+00:10:49,950 --> 00:10:54,050
+عندى metal رح تجرح ال patient فما رح يقدر يتحملها،
+
+152
+00:10:54,050 --> 00:10:58,190
+هتأذى للوجه و .. و ال temple tip كذلك، ممكن أنك
+
+153
+00:10:58,190 --> 00:11:00,770
+بعد ال patient عندهم allergic، حساسية من ال metal
+
+154
+00:11:00,770 --> 00:11:06,010
+وكمان إنه ممكن هي .. مع كثرة الاستعمال تصير ..
+
+155
+00:11:06,010 --> 00:11:09,150
+تصير صدق يعنى، تصد ال .. ال temple اللي هو عندك هو
+
+156
+00:11:09,150 --> 00:11:15,710
+tip فالأفضل هو إنه قاش تكون plastic coating، تمام؟
+
+157
+00:11:17,090 --> 00:11:20,010
+Metal frame are those made of old metal bark
+
+158
+00:11:20,010 --> 00:11:23,010
+except for the nose pad و ال posterior هو عندك
+
+159
+00:11:23,010 --> 00:11:25,190
+timbal section اللي هو ال timbal tip which are
+
+160
+00:11:25,190 --> 00:11:28,650
+بتكون بلاستيك cover The eye wire run completely
+
+161
+00:11:28,650 --> 00:11:32,070
+around the lens انه هاي ال eye wire هاي عبارة عن
+
+162
+00:11:32,070 --> 00:11:35,250
+eye اللي هو wire اللي بتحيط هو عندك بالعدسة هاي
+
+163
+00:11:35,250 --> 00:11:38,890
+بنسميها ال eye هو wire بتكون completely بتحيط بال
+
+164
+00:11:38,890 --> 00:11:39,250
+lens
+
+165
+00:11:53,090 --> 00:11:57,370
+Okay تالك نوع نايلون كارد فرامز شو هو نايلون كارد
+
+166
+00:11:57,370 --> 00:12:01,150
+فرامز هو عنده تلت أسماء أما بحكي عنه supra mounts
+
+167
+00:12:01,150 --> 00:12:04,650
+أما بحكي عنه اللي هو string mounted frames أو
+
+168
+00:12:04,650 --> 00:12:07,790
+نايلون سوبرا شو يعني string mounted frames أنه هذا
+
+169
+00:12:07,790 --> 00:12:12,550
+الإطار بيكون من الأسفل ما بيكون فيه عندك metal أو
+
+170
+00:12:12,550 --> 00:12:15,530
+plastic بيكون عندك خط خط مزدود اللي هو عندك
+
+171
+00:12:15,530 --> 00:12:21,780
+بالعدسة شايفين هنا هوهي ال top اللي هو عندك هو rim
+
+172
+00:12:21,780 --> 00:12:25,060
+هي ال top rim أمارة عن metal لكن ال lower اللي هو
+
+173
+00:12:25,060 --> 00:12:28,400
+عندك rim عبارة عن إيش بتكون اللي هو عبارة عن خات
+
+174
+00:12:28,400 --> 00:12:31,760
+هذا اللي هو الخات بنعمله small groove بال lower
+
+175
+00:12:31,760 --> 00:12:37,740
+rim عشان ندخله ثابته و كمان بدنا ان تكون هذه الحفة
+
+176
+00:12:37,740 --> 00:12:40,920
+flat لإنه عشان .. لإنه في تلامس عندي بين ال lower
+
+177
+00:12:40,920 --> 00:12:45,340
+rim لل eye wire و عندك الوجه ال patient فهي ممكن
+
+178
+00:12:45,340 --> 00:12:49,910
+تجربها فتمام؟بس I'm trying to hold the lenses in
+
+179
+00:12:49,910 --> 00:12:53,410
+place by means of nylon cord that fits around the
+
+180
+00:12:53,410 --> 00:12:56,190
+edge of the lens this gives glass the appearance
+
+181
+00:12:56,190 --> 00:13:00,850
+of being rimless هذا بيعطيني يعني ظهور او انطباع
+
+182
+00:13:00,850 --> 00:13:04,310
+انا لما اشوفها بحكي انه هذا الإطار هو rimless بس
+
+183
+00:13:04,310 --> 00:13:08,110
+هو مش rimless هو فيه تحت تكمل ال eye wire بس مش
+
+184
+00:13:08,110 --> 00:13:12,770
+يعني metal تمام usually the top of the lens is
+
+185
+00:13:12,770 --> 00:13:16,610
+fitted into the other who are rim of the frameهو
+
+186
+00:13:16,610 --> 00:13:20,470
+المسئول عن تثبيت العدسة العظمى في تثبيت العدسة
+
+187
+00:13:20,470 --> 00:13:26,630
+اللى هو ال top rim رابع
+
+188
+00:13:26,630 --> 00:13:28,950
+نوع ال combination شو هو ال combination ال
+
+189
+00:13:28,950 --> 00:13:33,390
+combination بيكون عبارة عن يعني الإطار مصنوع من ال
+
+190
+00:13:33,390 --> 00:13:37,750
+metal و ال plastic تمام هى عندك الإطار اللى هو
+
+191
+00:13:37,750 --> 00:13:42,890
+عندك هذا هلجيت طلعه هى ال eyewear تمام شوفوا اللى
+
+192
+00:13:42,890 --> 00:13:47,360
+رم هى ال rimمن تحت مصنوعة من ash من ال metal لكن
+
+193
+00:13:47,360 --> 00:13:52,060
+من فوق بانتصار ال temples هاي اللي هو عندك ال
+
+194
+00:13:52,060 --> 00:13:55,560
+plastic okay يعني ال metal ال chases اللي هو الشكل
+
+195
+00:13:55,560 --> 00:13:59,420
+العام يكون لها اللي عندك هو metal ولكن ال top rim
+
+196
+00:13:59,420 --> 00:14:03,080
+و ال temples بتكون ash و plastic okay و ممكن تكون
+
+197
+00:14:03,080 --> 00:14:09,240
+يكون عندك ال bridge و ال temples يكون metal و ال
+
+198
+00:14:09,240 --> 00:14:12,950
+chases بتكون plasticany frame with a combination
+
+199
+00:14:12,950 --> 00:14:15,790
+of metal and plastic include this categories يعني
+
+200
+00:14:15,790 --> 00:14:19,850
+أي frame فيه مزيج من ال .. ال plastic و ال metal
+
+201
+00:14:19,850 --> 00:14:26,110
+بحكي عنه combination of frame we
+
+202
+00:14:26,110 --> 00:14:28,970
+will continue with my classmate هي حبوش thanks for
+
+203
+00:14:28,970 --> 00:14:33,330
+attention السلام عليكم اسمي هي حبوش هلقيت نحن نكمل
+
+204
+00:14:33,330 --> 00:14:36,890
+التعرف على باقي أنواع الفريمات عندك ال half eye
+
+205
+00:14:37,680 --> 00:14:40,020
+made specially for those who need a reading
+
+206
+00:14:40,020 --> 00:14:42,880
+correction هم مصنوعين للناس اللي بيحتاجوا نضارات
+
+207
+00:14:42,880 --> 00:14:47,940
+للقراقة ان هي أصلا مصنوعة ل near vision they only
+
+208
+00:14:47,940 --> 00:14:51,160
+have as high as normal glasses and sit lower on
+
+209
+00:14:51,160 --> 00:14:54,540
+the nose than normal زي ما احنا شايفين بالصورة هم
+
+210
+00:14:54,540 --> 00:14:58,420
+بيكونوا نصف العدسات العادية بيكونوا مش جايين
+
+211
+00:14:58,420 --> 00:15:02,560
+كاملين بيكونوا نصف العدسة العادية بيكونوا موضوعين
+
+212
+00:15:02,560 --> 00:15:03,920
+على الأنف بشكل
+
+213
+00:15:06,410 --> 00:15:11,350
+لأسفل القنف بشكل أكتر من العديسات العادية عشان
+
+214
+00:15:11,350 --> 00:15:16,290
+يسمح للقراقة they made .. they made by plastic ..
+
+215
+00:15:16,290 --> 00:15:19,610
+they may be plastic, metal or nylon cord ممكن
+
+216
+00:15:19,610 --> 00:15:22,830
+يكونوا مصنوع من ال plastic أو ال metal أو ال nylon
+
+217
+00:15:22,830 --> 00:15:23,190
+cord
+
+218
+00:15:29,190 --> 00:15:33,250
+بعد ما اتعرفنا عن العدساء عن ال .. الفريمات اللي
+
+219
+00:15:33,250 --> 00:15:36,730
+.. اللي .. اللي إلها rim هلقيتها راح نتعرف على نوع
+
+220
+00:15:36,730 --> 00:15:39,830
+تاني اللي هم ال mountaining ال frame without any
+
+221
+00:15:39,830 --> 00:15:43,310
+eye wire اللي هو rim going completely around the
+
+222
+00:15:43,310 --> 00:15:46,630
+lens are called mountaining يعني العدسات اللي
+
+223
+00:15:46,630 --> 00:15:50,370
+بتكون مش إلها rim بتسمى ال mountaining هي بتكون
+
+224
+00:15:50,370 --> 00:15:54,830
+محمولة عن طريق دواعم خاصة غير ال .. ال eye wire
+
+225
+00:15:54,830 --> 00:15:56,450
+غير ال rim راح نتعرف عليهم هلقيتها
+
+226
+00:16:00,960 --> 00:16:03,980
+أول حاجة راح ناخد ال rimless mounting also
+
+227
+00:16:03,980 --> 00:16:06,860
+referred as three pieces mounting لسه منها three
+
+228
+00:16:06,860 --> 00:16:10,520
+pieces mounting لأنها أصلا بتتكون بس من تلت أجزاء
+
+229
+00:16:10,520 --> 00:16:15,660
+اللي هم two timble هاي واحد اتنين و bridge hold
+
+230
+00:16:15,660 --> 00:16:18,540
+the lenses in place by other method than eye wire
+
+231
+00:16:18,540 --> 00:16:24,300
+or nylon cord العدسات بتكون محمولة بالframe بطرق
+
+232
+00:16:24,300 --> 00:16:27,520
+تانية غير ال rim و غير ال nylon cord اللي اتعرفنا
+
+233
+00:16:27,520 --> 00:16:31,480
+عليهم قبلmost remless mountainers have two areas
+
+234
+00:16:31,480 --> 00:16:34,640
+of attachment per lens nasally and temporally
+
+235
+00:16:34,640 --> 00:16:38,880
+بيكونوا العدسات محمولين بالفرام من جهتين temporal
+
+236
+00:16:38,880 --> 00:16:44,200
+و ال nasal قلقتنا نتعرف على ال method الطرق اللي
+
+237
+00:16:44,200 --> 00:16:48,420
+قدروا فيهم يثبتوا العدسات بدون رمل أول حاجة with
+
+238
+00:16:48,420 --> 00:16:54,560
+screws اللي هم باستعمال البراغيممكن في صورة اعتقد
+
+239
+00:16:54,560 --> 00:16:58,920
+هادي مش واضحة كثير هي مثبتين بالبرغي بتكون مقوبة
+
+240
+00:16:58,920 --> 00:17:02,820
+العدسة مثبتة بالبرغي في ال .. في ال temple ال
+
+241
+00:17:02,820 --> 00:17:06,580
+cemented ممكن تكون منثقة العدسة ممكن تكون منثقة
+
+242
+00:17:06,580 --> 00:17:10,180
+بال temple ال clamps اللي هم الملاقت بتكون ملاقت
+
+243
+00:17:10,180 --> 00:17:17,280
+خاصة تمسك العدسة تصل ال temple بال front areaال
+
+244
+00:17:17,280 --> 00:17:20,280
+plastic posts اللي هم بيكونوا عبارة عن برضه نفس
+
+245
+00:17:20,280 --> 00:17:25,040
+الملاقت بس هم بيكونوا زي الكبس طبعا برضه بيثبتوا
+
+246
+00:17:25,040 --> 00:17:31,040
+العدسات ال
+
+247
+00:17:31,040 --> 00:17:35,000
+semi rimless it is similar to rimless except for
+
+248
+00:17:35,000 --> 00:17:38,620
+metal reinforces arm which follow upper surface of
+
+249
+00:17:38,620 --> 00:17:42,060
+the lens and join the center piece of the frame to
+
+250
+00:17:42,060 --> 00:17:46,760
+the end piece هلقيتها ال semi rimlessبقولك انهم
+
+251
+00:17:46,760 --> 00:17:52,420
+بيشبهوا في تركيبتهم الرملس لكن الاختلاف ان في عندى
+
+252
+00:17:52,420 --> 00:17:58,680
+هنا metal .. metal reinforces arm اللى هى بتكون
+
+253
+00:17:58,680 --> 00:18:03,460
+بتثبت العدسة من خلالها على عكس الرملس اللى بيكونش
+
+254
+00:18:03,460 --> 00:18:13,380
+أصلا إلها ولا أي قطعة فوق العدسات اه بقولك and
+
+255
+00:18:13,380 --> 00:18:17,170
+join the center piece of theframe to the end piece
+
+256
+00:18:17,170 --> 00:18:21,510
+ال centerpiece اللي هم ال bridge مع ال bed و ال
+
+257
+00:18:21,510 --> 00:18:26,430
+bed arms اتصل هذا ال centerpiece مع باقي ال end
+
+258
+00:18:26,430 --> 00:18:29,490
+piece مع ال temple centerpiece of mountain
+
+259
+00:18:29,490 --> 00:18:33,570
+consists of bridge bed arm and bed زي ما قلنا اللي
+
+260
+00:18:33,570 --> 00:18:37,170
+هى ال centerpiece عبارة عن ال bridge و ال bed arms
+
+261
+00:18:37,170 --> 00:18:38,270
+مع ال bed طبعا
+
+262
+00:18:44,230 --> 00:18:47,490
+هلاقيتها .. راح نتعرف على منطقة ال bridge ال
+
+263
+00:18:47,490 --> 00:18:50,710
+bridge ينقسم إلى نوعين plastic bridge أو metal
+
+264
+00:18:50,710 --> 00:18:55,150
+bridge البلاستيك فيه منه تلت أنواع صدل modified
+
+265
+00:18:55,150 --> 00:19:03,270
+صدل و K-hole شايفة فيه هنا صور ولا لأ؟ اه هلاقيتها
+
+266
+00:19:03,270 --> 00:19:04,750
+بداية مع الصدل
+
+267
+00:19:07,790 --> 00:19:11,490
+الصدل bridge it is shaped like a saddle in a
+
+268
+00:19:11,490 --> 00:19:14,990
+smooth curve and follow the bridge of nose هي
+
+269
+00:19:14,990 --> 00:19:20,110
+بتشبه شكل الصدل اللي هي حجمة الحصان و بتكون smooth
+
+270
+00:19:20,110 --> 00:19:25,250
+يعني نعمة جدا و بتكون مريحة للأنف و هي بتقع على ال
+
+271
+00:19:25,250 --> 00:19:29,600
+nose يعني بتكون rest ال nosethe weight of the
+
+272
+00:19:29,600 --> 00:19:32,840
+frames being over the sides and crest of the nose
+
+273
+00:19:32,840 --> 00:19:36,640
+بتحمل العدسة وزم العدسة بيكون كل وزم ال frame
+
+274
+00:19:36,640 --> 00:19:41,170
+بيكون محمول على أطراف القنفوعلى ال crest اللى هى
+
+275
+00:19:41,170 --> 00:19:44,330
+عضمة الأمر، بكل عافية راح نكمل معازمتي مرحلة
+
+276
+00:19:44,330 --> 00:19:48,670
+السلام عليكم معاكم Marah القطنانى اتعرفنا على
+
+277
+00:19:48,670 --> 00:19:51,890
+أنواع ال bridge بلاي بلاستيك أول نوع هو ال saddle
+
+278
+00:19:51,890 --> 00:19:56,950
+bridge قد قيت modified saddle تعديل عملنا تعديل
+
+279
+00:19:56,950 --> 00:20:00,650
+عليه same as the saddle bridgea viewed from the
+
+280
+00:20:00,650 --> 00:20:05,510
+front انه من ال front بيشبه الصدر، من ال front
+
+281
+00:20:05,510 --> 00:20:08,950
+يعني نقدرش نميز بين ال modified صدر او صدر، لكن
+
+282
+00:20:08,950 --> 00:20:12,670
+the difference is there are nose pad in the back
+
+283
+00:20:12,670 --> 00:20:19,410
+of bridge، انه الإطار مابيرتكزش على ال crest،
+
+284
+00:20:19,410 --> 00:20:21,790
+بيرتكز على ال nose pad، على ال right ولا على ال
+
+285
+00:20:21,790 --> 00:20:25,530
+leftthis beds help to carry some of weight of the
+
+286
+00:20:25,530 --> 00:20:29,870
+frame انه بيساعد على انه بيحمل بعض الوزن من ال
+
+287
+00:20:29,870 --> 00:20:33,570
+frame احنا بنقدر الميزن modified صدر من جهة الخلف
+
+288
+00:20:33,570 --> 00:20:41,930
+ال back surface بيكون اللي هو بروس بارس ال
+
+289
+00:20:41,930 --> 00:20:46,950
+K-hall بيشبه .. is shaped .. is .. is .. is shaped
+
+290
+00:20:46,950 --> 00:20:50,950
+like an old fashioned K-hall بيشبه شكل المفتاح
+
+291
+00:20:50,950 --> 00:20:54,500
+القديممن هيك شكله احنا بنشوفه من ال .. ال back
+
+292
+00:20:54,500 --> 00:20:58,540
+surface بنكون اوضح من الخلف the bridge rests on
+
+293
+00:20:58,540 --> 00:21:02,040
+the sides of the nose but not on the crest يعني
+
+294
+00:21:02,040 --> 00:21:05,860
+انه احنا بنقدر نميزه من ال back surface اما في ال
+
+295
+00:21:05,860 --> 00:21:09,760
+k hole رأيت ال k hole انه مابيرتكزش على ال crest
+
+296
+00:21:09,760 --> 00:21:13,820
+بسبب الجوانب الأنف من ال right و ال left
+
+297
+00:21:18,090 --> 00:21:20,950
+الـ metal frame bridge النوع التاني الأول قلنا
+
+298
+00:21:20,950 --> 00:21:24,030
+بلاستيك و هذا النوع metal ال bridge commonly used
+
+299
+00:21:24,030 --> 00:21:28,070
+is the bad bridge إن الشائع منه ال meter بيكون له
+
+300
+00:21:28,070 --> 00:21:31,630
+bad bridge metal frame is equipped with a clear
+
+301
+00:21:31,630 --> 00:21:35,690
+plastic saddle type bridge the bridge type refers
+
+302
+00:21:35,690 --> 00:21:40,610
+as a comfort bridge إن الإطار كله بيكون من ال
+
+303
+00:21:40,610 --> 00:21:43,850
+metal مع هذا ال bridge بتكون من اللي بلاستيك عشان
+
+304
+00:21:43,850 --> 00:21:45,290
+يكسمه comfort bridge
+
+305
+00:21:49,110 --> 00:21:53,370
+ال end piece الها برضه ان ال end piece
+
+306
+00:21:53,370 --> 00:21:56,750
+construction plastic end piece و metal end piece
+
+307
+00:21:56,750 --> 00:22:01,170
+البلاستيك end piece a both type الميتر ال turn
+
+308
+00:22:01,170 --> 00:22:04,870
+back ال both types هو الأكثر شيوعا بينهم هما
+
+309
+00:22:04,870 --> 00:22:10,730
+التلاتة انه بيكون ال هذا شكله انه بتكون ال front
+
+310
+00:22:10,730 --> 00:22:15,430
+straight و ال temple بيكون flat اما الميتر و
+
+311
+00:22:15,430 --> 00:22:19,240
+الزاوية بينهم بيكونوا تسعين degree عاملينأما
+
+312
+00:22:19,240 --> 00:22:23,900
+الميتر بيكون ال .. ال flat و ال timber بينهم خمسة
+
+313
+00:22:23,900 --> 00:22:27,700
+و أربعين degree و ال turn back اللي بيكون ال flat
+
+314
+00:22:27,700 --> 00:22:35,120
+له انحناء الميتر ايه؟ ال metal and piece .. the
+
+315
+00:22:35,120 --> 00:22:40,160
+traditional metal and piece has construction to
+
+316
+00:22:40,160 --> 00:22:43,080
+the turn back and piece of that plastic frame
+
+317
+00:22:45,680 --> 00:22:50,240
+إن هو أكثر شيوعا من ال plastic frame تمبل
+
+318
+00:22:50,240 --> 00:22:55,000
+construction
+
+319
+00:22:55,000 --> 00:23:01,780
+five major categories scull timbel هو من خمس ألوان
+
+320
+00:23:01,780 --> 00:23:05,040
+أول نوع ال scull timbel بتكون the bent down
+
+321
+00:23:05,040 --> 00:23:10,220
+portion is narrower at the top of the ear and
+
+322
+00:23:10,220 --> 00:23:15,780
+wideness towards the end إنه بتكون في الأولمن عند
+
+323
+00:23:15,780 --> 00:23:20,180
+البنت بيكون انا خاف من عند البنت بيكون ارفع اشهر و
+
+324
+00:23:20,180 --> 00:23:25,460
+بعدين ال end بيكون ا smile library temples
+
+325
+00:23:25,460 --> 00:23:30,940
+straight له اسم تاني straight back temple and
+
+326
+00:23:30,940 --> 00:23:36,540
+average width at the butt and هذي مش increase ..
+
+327
+00:23:36,540 --> 00:23:41,080
+decrease and while it's posterior انه بيكون هو
+
+328
+00:23:41,080 --> 00:23:46,150
+شكله عريضعريض من فوق و بيبدأ يعني يقل السماك طولها
+
+329
+00:23:46,150 --> 00:23:52,710
+تحت من عند ال end convertible timbel انه بتتحول
+
+330
+00:23:52,710 --> 00:23:57,470
+قبل التبديل و انه بتغير شكله it may be easily
+
+331
+00:23:57,470 --> 00:24:02,570
+straightened out and then ribboned to the wearer
+
+332
+00:24:02,570 --> 00:24:08,470
+انه ممكن اول نشأته كانوا بيطلقوا عليه اسم skull
+
+333
+00:24:08,470 --> 00:24:12,370
+كانوا بيطلقوا عليه skull اول نوع ال skull timbel
+
+334
+00:24:12,830 --> 00:24:16,990
+بعدين احنا بنقدر نحاوله من convertible من عند ..
+
+335
+00:24:16,990 --> 00:24:23,690
+من library timble ل .. ل school timble و لو كان
+
+336
+00:24:23,690 --> 00:24:28,090
+موقع ال timble غلط يعني ماكانش صحيح موقع و نقدر
+
+337
+00:24:28,090 --> 00:24:32,960
+نغيره إنه نكون كله straight نعمل انحناء في الآخرال
+
+338
+00:24:32,960 --> 00:24:36,980
+riding ball هذا بيكون انه used in children as
+
+339
+00:24:36,980 --> 00:24:41,160
+safety frame بيستخدمه ال children عشان هو بيكون
+
+340
+00:24:41,160 --> 00:24:47,140
+فيه انحناء خلف الأدن بيمتد لعند ال loop air safety
+
+341
+00:24:47,140 --> 00:24:52,460
+frame comfort cable هو بيشبه ال riding ball لكن
+
+342
+00:24:52,460 --> 00:24:57,980
+فيه إضافة في ال end أخر إشي فيه قطعة معدنية مرنة
+
+343
+00:25:06,310 --> 00:25:09,610
+الاخر اشي ال coloration plastic frame maybe
+
+344
+00:25:09,610 --> 00:25:14,130
+partially classified by coloration انه البلاستيك
+
+345
+00:25:14,130 --> 00:25:18,990
+ممكن احنا نصنفه بشكل جزء حسب الألوان اللي بنقسم
+
+346
+00:25:18,990 --> 00:25:24,580
+إلى أربع نقدر نلونهsolid frame is all one color ال
+
+347
+00:25:24,580 --> 00:25:28,200
+solid بيكون كله نفس اللون مافيش يعني تدريج فيه
+
+348
+00:25:28,200 --> 00:25:33,980
+vertical gradient انه بيكون ال top rim و ال bridge
+
+349
+00:25:33,980 --> 00:25:38,920
+أغمق يعني أغمق اشي darker than ال bottom rim
+
+350
+00:25:38,920 --> 00:25:45,120
+darker at the top include bridge and bright at
+
+351
+00:25:45,120 --> 00:25:49,580
+bottom تالت نوع horizontally gradient بيكون ال
+
+352
+00:25:49,580 --> 00:25:55,790
+timbledarker ومن عند ال center بيصير أفتح darker
+
+353
+00:25:55,790 --> 00:26:01,070
+at temporally and lighter at center area a clear
+
+354
+00:26:01,070 --> 00:26:06,830
+bright frame بيشبه ال horizontal gradient لكن انه
+
+355
+00:26:06,830 --> 00:26:11,170
+بيكون ال temple darker و ال pot portion ال pot ..
+
+356
+00:26:11,170 --> 00:26:15,230
+ال pot ramp بيكون برضه darker لكن ال bridge بيختلف
+
+357
+00:26:15,230 --> 00:26:20,760
+ان ال bridge بتكون أفتح منهمresemble the
+
+358
+00:26:20,760 --> 00:26:24,500
+horizontal gradient but are darker at top except
+
+359
+00:26:24,500 --> 00:26:28,860
+bridge thank
+
+360
+00:26:28,860 --> 00:26:33,040
+you for attention طبعا بنشكر الطلبات على هذا العرض
+
+361
+00:26:33,040 --> 00:26:38,280
+الجيد لل oral presentation و بننهي ان شاء الله في
+
+362
+00:26:38,280 --> 00:26:42,280
+موضوع ال oral presentation في آخر موضوع كان عندنا
+
+363
+00:26:42,280 --> 00:26:46,180
+ال frames types and parts يعطيكم العافية و شكرا
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME.srt
new file mode 100644
index 0000000000000000000000000000000000000000..ae5207fcd3a8d52b885aa38d9675fe079698d8f6
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME.srt
@@ -0,0 +1,1469 @@
+1
+00:00:21,190 --> 00:00:24,210
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله و
+
+2
+00:00:24,210 --> 00:00:30,810
+بركاته، وأهلاً وسهلاً بكم جميعاً. سنبدأ اليوم في
+
+3
+00:00:30,810 --> 00:00:35,470
+موضوع reference points and lens centration.
+
+4
+00:00:35,470 --> 00:00:42,470
+reference points، أي بمعنى النقاط المرجعية في داخل
+
+5
+00:00:42,470 --> 00:00:48,190
+العدسة، بينما الـ lens centration تمركز العدسة.
+
+6
+00:00:52,880 --> 00:00:58,880
+An optical laboratory may consist of two separate
+
+7
+00:00:58,880 --> 00:01:09,140
+areas. أي نظام بصري يتم تجهيزه في داخل المعمل
+
+8
+00:01:09,140 --> 00:01:17,060
+تمام، بتكون من z area أو x area أو y area، تمام.
+
+9
+00:01:19,380 --> 00:01:28,640
+بتكون من منطقتين منفصلتين عن بعضهما البعض. One area
+
+10
+00:01:28,640 --> 00:01:34,860
+creates the needed lens power. المنطقة الأولى
+
+11
+00:01:34,860 --> 00:01:40,040
+(area number one) بتمثل قوة العدسة، الـ lens power
+
+12
+00:01:40,040 --> 00:01:45,720
+للعدسة. Okay, this
+
+13
+00:01:45,720 --> 00:01:51,300
+is usually done, or this is usually carried out, or
+
+14
+00:01:51,300 --> 00:01:57,140
+this is usually performed. يعني هذه عادةً بتعملها، أو
+
+15
+00:01:57,140 --> 00:02:04,220
+إجراءها by a process called lens surfacing. إذا
+
+16
+00:02:04,220 --> 00:02:12,220
+تحديد قوة العدسة بتتم إجراؤها في مكان تصحيح العدسة.
+
+17
+00:02:12,220 --> 00:02:19,720
+Okay، يعني الـ area هذه بنسميها lens surfacing، والعملية
+
+18
+00:02:19,720 --> 00:02:23,620
+المنشئة هذه اللي بتعمل الـ lens power.
+
+19
+00:02:26,710 --> 00:02:31,310
+It's referred to as a surfacing laboratory. إذا
+
+20
+00:02:31,310 --> 00:02:37,510
+المنشئة أو المكان اللي بتتم فيه وضع قوة العدسة على
+
+21
+00:02:37,510 --> 00:02:42,250
+سطحها بنسميه a surfacing laboratory. وين هذه بتكون
+
+22
+00:02:42,250 --> 00:02:47,810
+غالباً؟ في المصانع المتخصصة في الـ optics أو الـ
+
+23
+00:02:47,810 --> 00:02:48,210
+optical.
+
+24
+00:02:53,270 --> 00:02:57,990
+بينما الـ second area takes the correctly powered
+
+25
+00:02:57,990 --> 00:03:05,110
+lens and finishes it. المنطقة الثانية بناخد العدسة
+
+26
+00:03:05,110 --> 00:03:10,450
+بقوة صحيحة، وبنعمل عملية قص لها، يعني
+
+27
+00:03:10,450 --> 00:03:15,250
+بالضبط هي اللي بتمثل الـ uncut lens، العدسة اللي
+
+28
+00:03:15,250 --> 00:03:19,510
+لسة غير جاهزة لوضعها في داخل الإطار.
+
+29
+00:03:23,970 --> 00:03:30,830
+This is done by optically positioning the lens. إذاً
+
+30
+00:03:30,830 --> 00:03:37,350
+أول حاجة بدنا نعمل لها عملية positioning. طيب، الـ
+
+31
+00:03:37,350 --> 00:03:41,850
+positioning هذه لمين؟ للـ lens centration، و للـ
+
+32
+00:03:41,850 --> 00:03:46,590
+reference points. يعني بدنا نعمل عملية spotting، أو
+
+33
+00:03:46,590 --> 00:03:53,960
+عملية marking، تعليم للعدسة، and grinding the edges.
+
+34
+00:03:53,960 --> 00:04:00,300
+بدنا نعمل عملية أيضاً قص للعدسة، الـ uncut lens، so
+
+35
+00:04:00,300 --> 00:04:06,300
+that the lens fits the shape of the chosen frame.
+
+36
+00:04:06,300 --> 00:04:13,680
+الآن المريض اختار، أو عمل selection للإطار، لازم نقص
+
+37
+00:04:13,680 --> 00:04:21,080
+العدسة على نفس شكل الإطار اللي تم اختياره. Okay، إذاً
+
+38
+00:04:21,080 --> 00:04:27,180
+أول حاجة حددنا الـ spotting points، أو علمنا العدسة.
+
+39
+00:04:27,180 --> 00:04:33,660
+النقطة الثانية، عملنا قص للعدسة، و خليناها تكون
+
+40
+00:04:33,660 --> 00:04:38,920
+مناسبة لمين؟ للإطار اللي اختاره المريض. ومين هذا
+
+41
+00:04:38,920 --> 00:04:44,660
+اللي بيقوم فيه؟ الـ optician. إذا هذه المهام كلها
+
+42
+00:04:44,660 --> 00:04:49,460
+بتكون للـ optician.
+
+43
+00:04:53,910 --> 00:04:59,090
+The area where this occurs is known as the
+
+44
+00:04:59,090 --> 00:05:05,850
+finishing laboratory. هذه العملية بتتم إجراؤها في
+
+45
+00:05:05,850 --> 00:05:10,030
+داخل معمل إعداد النظارات، اللي إحنا بنسميه
+
+46
+00:05:10,030 --> 00:05:15,330
+finishing laboratory، أو dispensing laboratory، أو
+
+47
+00:05:15,330 --> 00:05:17,770
+dispensing lab.
+
+48
+00:05:22,770 --> 00:05:29,350
+A finishing laboratory is also referred to as an
+
+49
+00:05:29,350 --> 00:05:34,650
+edging laboratory. يعني أيضاً هذا المعمل بيسمى معمل
+
+50
+00:05:34,650 --> 00:05:41,070
+قص العدسة. Okay، ليه؟ because it's here that
+
+51
+00:05:41,070 --> 00:05:46,950
+lenses are edged. أن العدسة هنا إيش بيصير لها؟ عملية
+
+52
+00:05:46,950 --> 00:05:53,150
+قص، to the proper shape to fit the spectacle frame.
+
+53
+00:05:53,150 --> 00:06:00,330
+بحيث أنه يكون شكلها مناسب أو ملائم للإطار اللي تم
+
+54
+00:06:00,330 --> 00:06:10,490
+اختياره من قبل المريض. في
+
+55
+00:06:10,490 --> 00:06:16,150
+عندنا spotting of single vision lenses. يعني عملية
+
+56
+00:06:16,150 --> 00:06:23,070
+تعليم للعدسات اللي بتستخدم إما للـ distance
+
+57
+00:06:23,070 --> 00:06:27,690
+correction، أو للـ near correction. يعني اللي بيكون
+
+58
+00:06:27,690 --> 00:06:37,090
+لها one optical center، أو one focal point. First, a
+
+59
+00:06:37,090 --> 00:06:41,330
+lens is made ready for edging so that the
+
+60
+00:06:41,330 --> 00:06:45,270
+refractive power and optical centration will be
+
+61
+00:06:45,270 --> 00:06:51,110
+correct. في الأول إحنا بنعمل عملية تجهيز للعدسة من
+
+62
+00:06:51,110 --> 00:06:56,650
+خلال اللي هو القص. وهذا يتم من خلال إيش؟ تحديد القوة
+
+63
+00:06:56,650 --> 00:07:01,190
+المناسبة للعدسة. يعني كيف مثلاً مريض عنده +2، أول
+
+64
+00:07:01,190 --> 00:07:07,550
+حاجة بنبعت نوفر العدسة اللي هي +2 ديوبتر
+
+65
+00:07:07,550 --> 00:07:12,940
+السفيرية. وبعد ذلك إيش بنعمل؟ optical centration، أو
+
+66
+00:07:12,940 --> 00:07:17,480
+بنعمل marking للعدسة، أو spotting للعدسة (تعليم). ومن
+
+67
+00:07:17,480 --> 00:07:22,420
+ثم بنبدأ عملية قصها، بحيث أنه تكون ملائمة للشكل، أو
+
+68
+00:07:22,420 --> 00:07:27,760
+للإطار اللي تم اختياره. For edging, we should always
+
+69
+00:07:27,760 --> 00:07:33,040
+be starting with a lens of known power. لا يمكن أن
+
+70
+00:07:33,040 --> 00:07:37,900
+تجرى عملية قص العدسة، بدون ما نعرف إحنا قد إيش القوة
+
+71
+00:07:37,900 --> 00:07:43,620
+اللي بدنا نقصها، تمام؟ يعني الآن أنت في المعمل بتاع
+
+72
+00:07:43,620 --> 00:07:47,400
+العدسات، أي عدسة بدك تعملي لها marking، لازم تعرفي
+
+73
+00:07:47,400 --> 00:07:52,100
+قد إيش قوتها، صح؟ وبعد ذلك بتعرفي تعملي الـ marking، أو
+
+74
+00:07:52,100 --> 00:07:53,080
+الـ spotting لها.
+
+75
+00:07:56,750 --> 00:08:00,910
+النظام يركز على مركز الوضع في الوضع الوضع الوضع
+
+76
+00:08:00,910 --> 00:08:06,970
+الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع
+
+77
+00:08:06,970 --> 00:08:09,090
+الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع
+
+78
+00:08:09,090 --> 00:08:10,470
+الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع
+
+79
+00:08:10,470 --> 00:08:14,290
+الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع
+
+80
+00:08:14,290 --> 00:08:18,460
+الوضع الوضع الوضع الوضع الوضع الوضع. الآن، بيكون
+
+81
+00:08:18,460 --> 00:08:22,500
+إحنا عندنا فيه عدسة، تمام، عشان نحدد اللي هو الـ
+
+82
+00:08:22,500 --> 00:08:28,440
+three markers. لازم أنه إحنا نجيبها في منتصف من؟ في
+
+83
+00:08:28,440 --> 00:08:33,920
+المنتصف الخاص بالـ cross hairs اللي خاص في الـ
+
+84
+00:08:33,920 --> 00:08:37,580
+lensmeter، أو الـ illumination (الإضاءة). طبعاً حسب نوع
+
+85
+00:08:37,580 --> 00:08:41,480
+من الـ lensmeter، إذا كان dot، أو كان اللي هو cross
+
+86
+00:08:41,480 --> 00:08:42,440
+shape.
+
+87
+00:08:49,400 --> 00:08:55,140
+The marking device، الأداة هذه اللي بنعلم فيها
+
+88
+00:08:55,140 --> 00:09:02,020
+العدسات، is then swung into position. يعني بتتحرك في
+
+89
+00:09:02,020 --> 00:09:06,100
+المكان. الآن، مش العدسة اللي بنحطها على الجهاز، تمام؟
+
+90
+00:09:06,100 --> 00:09:10,800
+ممكن نحركها right و left، وممكن نحركها up و down
+
+91
+00:09:10,800 --> 00:09:17,640
+لحد ما تصبح في منتصف الـ crosshair of the lensmeter.
+
+92
+00:09:18,880 --> 00:09:22,880
+And the front surface of the lens is spotted. الآن،
+
+93
+00:09:22,880 --> 00:09:26,060
+إحنا ما بنمسك العدسة، ما بنمسكهاش من الـ back
+
+94
+00:09:26,060 --> 00:09:29,680
+surface، من وين؟ الـ front surface، يعني ما بنضعها
+
+95
+00:09:29,680 --> 00:09:33,280
+على الجهاز، فدايماً التعليم وين بيكون؟ على الـ front
+
+96
+00:09:33,280 --> 00:09:33,800
+surface.
+
+97
+00:09:37,060 --> 00:09:43,160
+هي مثلاً عندنا الـ dot lensmeter. عندنا العدسة السفيرية،
+
+98
+00:09:43,160 --> 00:09:49,340
+تمام، حددنا اللي هو قوتها مثلاً +2 ديوبتر، اللي
+
+99
+00:09:49,340 --> 00:09:53,580
+هو السفيرية، هي عبارة عن الـ three markers. تمام، هذا
+
+100
+00:09:53,580 --> 00:09:57,200
+عبارة عن الـ optical center of a lens، وهذول يعتبروا
+
+101
+00:09:57,200 --> 00:10:02,900
+reference points، أو references points،
+
+102
+00:10:02,900 --> 00:10:08,190
+الخاصة بالعدسة. طيب، هل جاهزة العدسة هذه؟ هل هي تعتبر
+
+103
+00:10:08,190 --> 00:10:13,130
+ready-made للإطار؟ بعد ما أنا عملت لها... لأ، بدي أعمل
+
+104
+00:10:13,130 --> 00:10:18,450
+إيش؟ edging لها، بحيث تكون proper fit to the frame.
+
+105
+00:10:18,450 --> 00:10:21,570
+نفس
+
+106
+00:10:21,570 --> 00:10:25,890
+الحاجة، بس أنه من ناحية اللي هو الـ cylinder، تمام؟
+
+107
+00:10:25,890 --> 00:10:29,210
+كيف بنعمل اختيار للقراءة الأولى، وبعدين القراءة
+
+108
+00:10:29,210 --> 00:10:34,030
+الثانية، وبعدين اللي هو بناخد قيمة الـ axis الطويل.
+
+109
+00:10:37,050 --> 00:10:43,770
+Marking the lens for right or left. الآن، كيف يتم
+
+110
+00:10:43,770 --> 00:10:49,930
+تعليم العدسة، إذا كانت للعين اليمنى، أو كانت للعين
+
+111
+00:10:49,930 --> 00:10:55,150
+اليسرى. As
+
+112
+00:10:55,150 --> 00:11:00,650
+soon as the lens is spotted. يعني طالما العدسة تم
+
+113
+00:11:00,650 --> 00:11:07,520
+تعليمها، it should be removed from the lens meter.
+
+114
+00:11:07,520 --> 00:11:13,520
+إذاً إحنا بدنا نزيلها من وين؟ عن الجهاز، and marked
+
+115
+00:11:13,520 --> 00:11:17,840
+for the right or left eye. وبدنا نحدد أنه هل إحنا
+
+116
+00:11:17,840 --> 00:11:21,740
+بدنا نستخدم هذه العدسة للعين اليمنى، أو للعين
+
+117
+00:11:21,740 --> 00:11:27,040
+اليسرى. Lenses
+
+118
+00:11:27,040 --> 00:11:33,670
+are marked on the front surface with a marker. وهذه
+
+119
+00:11:33,670 --> 00:11:38,310
+حكيناها، أنه دائماً الـ spotting أو الـ marking بيكون
+
+120
+00:11:38,310 --> 00:11:44,610
+في السطح الأمامي للعدسة. Okay, the
+
+121
+00:11:44,610 --> 00:11:49,210
+letter R (right). طبعاً هذا الـ R (right) بنسميه letter، أو
+
+122
+00:11:49,210 --> 00:11:55,070
+symbol، أو
+
+123
+00:11:55,070 --> 00:11:57,890
+بنسميه abbreviation، يعني اختصار.
+
+124
+00:12:03,500 --> 00:12:07,120
+تمام؟ إذاً الـ abbreviation لو الـ R (right) أو الـ L (left)،
+
+125
+00:12:07,120 --> 00:12:11,700
+ما بنكتب right eye أو left eye، فقط بنكتب قيمة اللي
+
+126
+00:12:11,700 --> 00:12:17,460
+هو الـ letter، in upper case. دائماً أنا بحطه وين؟ في
+
+127
+00:12:17,460 --> 00:12:21,860
+الـ upper case، أي في الجزء العلوي، أو النصف الأعلى
+
+128
+00:12:21,860 --> 00:12:26,720
+من العدسة. Is written in the upper half of the
+
+129
+00:12:26,720 --> 00:12:31,240
+lens above the three spots. فوق اللي هو من الـ three
+
+130
+00:12:31,240 --> 00:12:31,700
+spots.
+
+131
+00:12:36,430 --> 00:12:43,710
+هي عندنا، حددنا الـ reference points، وحددنا الـ
+
+132
+00:12:43,710 --> 00:12:49,590
+optical center of a lens، تمام؟ وبعد ذلك، حددنا أن هذه
+
+133
+00:12:49,590 --> 00:12:53,710
+للـ right eye. دائماً يا جماعة، لما أنتم بتشتغلوا...
+
+134
+00:12:53,710 --> 00:12:57,590
+الآن أنا ماسك العدسة، صح؟ الآن هي للـ right، اتجاه
+
+135
+00:12:57,590 --> 00:13:02,090
+السهم دائماً مع اتجاه إيدك، فاهمين عليها؟ يعني أنا
+
+136
+00:13:02,090 --> 00:13:05,770
+أنا ماسك العدسة بالشكل هذا، حددت لـ three points، و
+
+137
+00:13:05,770 --> 00:13:11,150
+كتبت هذه R (right)، ودائماً السهم باتجاه إيدي، بالنسبة
+
+138
+00:13:11,150 --> 00:13:15,330
+ليه؟ لو حطيتها هي هتكون بالشكل هذا، تتضبط باتجاه
+
+139
+00:13:15,330 --> 00:13:19,590
+النصب، بس الأسهل دائماً وأنت بتشتغل، مش معقول كل
+
+140
+00:13:19,590 --> 00:13:24,010
+شوية هتحطيها على عينك، والشوفة دائماً الـ R (right)
+
+141
+00:13:24,010 --> 00:13:27,490
+باتجاه إيدي. الـ L (left)، دائماً السهم باتجاه
+
+142
+00:13:27,490 --> 00:13:28,170
+إيدي. الـ L (left).
+
+143
+00:13:32,240 --> 00:13:35,840
+هي عندنا الـ R (right)، تمام؟ الآن لو أنا لفيت زي هيك، هي
+
+144
+00:13:35,840 --> 00:13:44,260
+باتجاه اللي هو إيدي. الـ R (right)، طيب.
+
+145
+00:13:44,260 --> 00:13:54,520
+The optical center of a lens، اللي
+
+146
+00:13:54,520 --> 00:14:02,950
+هي إحنا النقطة اللي في المنتصف. Okay، It's of major
+
+147
+00:14:02,950 --> 00:14:10,770
+importance. إذن هي تعتبر إيه؟ يعني لها أهمية مهمة
+
+148
+00:14:10,770 --> 00:14:17,870
+كتير، major، يعني أهمية رئيسية. In aligning the lens
+
+149
+00:14:17,870 --> 00:14:22,770
+في اللي هو استقامة العدسة، أو بحيث أن تكون محاذاة
+
+150
+00:14:22,770 --> 00:14:28,660
+للعدسة. يعني بمعنى آخر، لما أنا بمسك العدسة بالشكل
+
+151
+00:14:28,660 --> 00:14:33,240
+هذا، أنه لازم الـ optical center of a lens تكون
+
+152
+00:14:33,240 --> 00:14:40,300
+محاذاة لمين؟ للـ center of a pupil. Okay، therefore it's
+
+153
+00:14:40,300 --> 00:14:46,220
+known as the major reference point. إذاً هي بتعرف
+
+154
+00:14:46,220 --> 00:14:51,700
+باسم الـ major reference point، أو بنديها اختصار MRP.
+
+155
+00:14:53,880 --> 00:14:59,400
+So when there is no prism in the prescription, the
+
+156
+00:14:59,400 --> 00:15:03,980
+optical center. يعني الآن أنا، مدام علمت العدسة في
+
+157
+00:15:03,980 --> 00:15:08,460
+الـ optical center، إذا في هذه المنطقة لا يوجد أي
+
+158
+00:15:08,460 --> 00:15:14,300
+تأثير منشوري. طيب، الآن التأثير المنشوري دائماً وين
+
+159
+00:15:14,300 --> 00:15:18,600
+بيكون، أو وين بيكون أكثر اللي هو تأثير
+
+160
+00:15:21,220 --> 00:15:25,940
+تمام؟ لأ، يعني وين بيكون more effect، أكثر تأثير
+
+161
+00:15:25,940 --> 00:15:31,220
+للأشخاص اللي بيكون عندهم high refractive error.
+
+162
+00:15:31,220 --> 00:15:37,060
+يعني مثلاً شخص عنده في الـ right، وعنده مثلاً في الـ
+
+163
+00:15:37,060 --> 00:15:43,040
+left -10. تمام؟ وهنا -10، في هذه
+
+164
+00:15:43,040 --> 00:15:50,190
+الحالة، بيكون كثير مهم أنه لازم هنا أحافظ على الـ
+
+165
+00:15:50,190 --> 00:15:55,070
+optical center of a lens. أيضاً لو كان مثلاً هنا عند
+
+166
+00:15:55,070 --> 00:16:00,890
+-1، ونفترض هنا -4، يعني اختلاف في
+
+167
+00:16:00,890 --> 00:16:04,610
+مين؟ في الـ refractive error، أو الـ state of
+
+168
+00:16:04,610 --> 00:16:07,170
+refractive error between the two eyes. يعني
+
+169
+00:16:07,170 --> 00:16:11,910
+anisometropia. Okay، برضه هنا لازم أنه يكون شغلي
+
+170
+00:16:11,910 --> 00:16:15,390
+دقيق في موضوع الـ optical center of elements، في هذه
+
+171
+00:16:15,390 --> 00:16:19,370
+الحالات. لكن لو كان مثلاً عندي small refractive
+
+172
+00:16:19,370 --> 00:16:24,020
+error، بيكون مؤثر، لكن مش كثير. لو عندي مثلاً تساوي في
+
+173
+00:16:24,020 --> 00:16:27,000
+الـ refractive error، يعني مثلاً واحد عنده -2
+
+174
+00:16:27,000 --> 00:16:31,760
+في العينين، هيكون هناك تأثير، لكن مش كبير، مقارنة في
+
+175
+00:16:31,760 --> 00:16:34,760
+الـ high refractive error، أو الـ anisometropic
+
+176
+00:16:34,760 --> 00:16:42,160
+patients. تمام؟ إذاً
+
+177
+00:16:42,160 --> 00:16:46,940
+عندنا الـ frame reference point. هذا النظام إيش
+
+178
+00:16:46,940 --> 00:16:54,600
+بنسميه؟ عبارة عن boxing system. تمام؟ طيب، الآن
+
+179
+00:16:54,600 --> 00:17:02,000
+المسافة ما بين الـ center to center، إيش بنسميها؟ الـ
+
+180
+00:17:02,000 --> 00:17:08,280
+frame PD، أو الـ distance between centers. طيب، الـ a
+
+181
+00:17
+
+223
+00:20:52,100 --> 00:20:57,620
+يعني الآن القانون عندنا، الـ frame أخذناها سابقاً
+
+224
+00:20:57,620 --> 00:21:08,940
+بي دي إيش بيساوي؟ الـ a dimension زائد الـ
+
+225
+00:21:08,940 --> 00:21:13,160
+bridge size
+
+226
+00:21:17,660 --> 00:21:21,600
+وقلنا بيكون مكتوب بالضبط وين هذا الأمر؟ على الـ
+
+227
+00:21:21,600 --> 00:21:27,660
+timble، تمام؟ بيكون مثلاً مكتوب عندنا خمسين، أما مربع
+
+228
+00:21:27,660 --> 00:21:33,760
+أو اللي هو dash، مثلاً سبعة وعشرون، مجموعهم إيش بيمثل؟ الـ
+
+229
+00:21:33,760 --> 00:21:36,840
+frame PD، تمام؟
+
+230
+00:21:43,610 --> 00:21:49,250
+Most commonly, the mirrors BD will be less than the
+
+231
+00:21:49,250 --> 00:21:54,370
+distance between centers، يعني الأكثر شيوعاً دائماً
+
+232
+00:21:54,370 --> 00:21:59,150
+قيمة الـ IBD للمريض أقل من قيمة مين؟ الـ frame BD
+
+233
+00:21:59,150 --> 00:22:04,330
+This
+
+234
+00:22:04,330 --> 00:22:09,630
+will require that the lenses be decentered inward
+
+235
+00:22:11,420 --> 00:22:15,480
+إذا ما يكون عندنا قيمة الـ frame BD أكبر من الـ
+
+236
+00:22:15,480 --> 00:22:22,020
+IBD، أنا بدي أعمل Decentration للداخل حتى أجعل الـ
+
+237
+00:22:22,020 --> 00:22:27,420
+optical center للعدسة بمحاذاة الـ pupil center
+
+238
+00:22:27,420 --> 00:22:35,440
+towards the center of the frame, okay. The amount of
+
+239
+00:22:35,440 --> 00:22:42,660
+Decentration، الآن كمية الإزاحة لكل عدسة يمكن
+
+240
+00:22:42,660 --> 00:22:50,680
+تحديدها can be determined by subtracting بواسطة
+
+241
+00:22:50,680 --> 00:22:58,020
+اللي هو طرح قيمة الـ BD، تمام، من الـ frame BD، بس
+
+242
+00:22:58,020 --> 00:23:01,920
+دائماً احنا إيش بنعمل؟ الـ frame BD الأكبر نطرح الـ
+
+243
+00:23:01,920 --> 00:23:05,180
+IBD، اللي هو غالباً بيكون أصغر، حتى تكون القيمة
+
+244
+00:23:05,180 --> 00:23:10,820
+بالموجب، الآن إيش بنعمل لها؟ Dividing، أي بمعنى تقسيم
+
+245
+00:23:10,820 --> 00:23:16,600
+لكل عين، خلينا نأخذ مثال الآن، لو جئنا مثلاً عندنا الـ
+
+246
+00:23:16,600 --> 00:23:23,240
+IBD للمريض اثنان وستون، تمام؟ وعندنا لـ frame BD
+
+247
+00:23:23,240 --> 00:23:27,160
+ثمانية
+
+248
+00:23:27,160 --> 00:23:34,100
+وستون مثلاً، الآن إيش بعمل؟ قيمة الـ frame BD من الـ
+
+249
+00:23:34,100 --> 00:23:42,440
+IPD، قداش بيساوي؟ ستة، الآن عندنا ثلاثة ملي مثلاً للـ
+
+250
+00:23:42,440 --> 00:23:48,700
+right وثلاثة ملي للـ left، الآن هدول إيش
+
+251
+00:23:48,700 --> 00:23:53,220
+هيكونوا inward للداخل، صح ولا لأ؟ حتى نساوي ما بين
+
+252
+00:23:53,220 --> 00:23:56,380
+الـ optical center وقيمة الـ pupil center
+
+253
+00:24:02,520 --> 00:24:09,600
+هي عندنا الـ distance between centers ناقص أو
+
+254
+00:24:09,600 --> 00:24:15,900
+subtract، بنطرحها من الـ PD على اثنين، بيساوي الـ
+
+255
+00:24:15,900 --> 00:24:29,200
+decentralization لكل عدسة، okay
+
+256
+00:24:29,200 --> 00:24:30,240
+واضح يا جماعة؟
+
+257
+00:24:36,580 --> 00:24:41,800
+هي مثلاً عملنا الآن ثلاثة ملي أو مثلاً اثنين ملي أو
+
+258
+00:24:41,800 --> 00:24:50,720
+واحد ملي inward، اللي هو للداخل، okay، هي
+
+259
+00:24:50,720 --> 00:24:56,280
+مثلاً عندنا مثال، a Wheeler's BD، الـ sixty-two
+
+260
+00:24:56,280 --> 00:25:03,880
+millimeter، إذا هذه إيش بتمثل؟ الـ IBD، الـ frame size
+
+261
+00:25:03,880 --> 00:25:12,180
+has an a dimension of 48 mm، إذا القيمة مين؟ الـ
+
+262
+00:25:12,180 --> 00:25:16,900
+lens size أو الـ frame size، 48 ملي، اللي هي عبارة عن
+
+263
+00:25:16,900 --> 00:25:22,260
+الـ a dimension، and distance between lenses، أو ما
+
+264
+00:25:22,260 --> 00:25:29,370
+تسمى بالـ bridge size، 20 ملي ميتر، إذا عشرون ملي ميتر
+
+265
+00:25:29,370 --> 00:25:36,450
+بدنا نحسب قداش قيمة الـ Decentration لكل عدسة، for
+
+266
+00:25:36,450 --> 00:25:43,170
+right and left eye، يلا احسبوها عندكم، 100% نفس
+
+267
+00:25:43,170 --> 00:25:47,550
+القيمة، حتكون، بس ما تقوليش ثلاثة ملي، ثلاثة ملي متر
+
+268
+00:25:47,550 --> 00:25:54,700
+inward ولا outward، تمام؟ هذه هي، إذا هذه ثلاثة
+
+269
+00:25:54,700 --> 00:26:07,300
+ملي، إيش حتكون؟ لداخل، inward، مين
+
+270
+00:26:07,300 --> 00:26:11,280
+حللنا إياه؟
+
+271
+00:26:11,280 --> 00:26:17,000
+يلا يا بسمة، إياه أول مرة تعطيني إياه، هو حكي لي أن
+
+272
+00:26:17,000 --> 00:26:19,180
+قيمة الـ IPD 62 ملي متر
+
+273
+00:26:28,910 --> 00:26:33,610
+ثانياً، شغل، أعطينا قيمة الـ A dimension 48، والـ
+
+274
+00:26:33,610 --> 00:26:40,450
+bridge 20، فهي طلعت قيمة الـ frame BD اللي
+
+275
+00:26:40,450 --> 00:26:43,790
+هي
+
+276
+00:26:43,790 --> 00:26:55,250
+قيمة الـ A dimension زائد قيمة الـ bridge، تمام
+
+277
+00:26:55,250 --> 00:27:01,480
+مين الآن أكبر؟ الـ frame BD ولا الـ IBD؟ وهي الأكثر
+
+278
+00:27:01,480 --> 00:27:06,320
+شيوعاً، آه تمام، تمام، هذه حتطلع عندنا القيمة، حتطرح قيمة
+
+279
+00:27:06,320 --> 00:27:10,500
+الـ frame BD، هذه قيمة الـ decentralization، قيمة الـ
+
+280
+00:27:10,500 --> 00:27:19,140
+IBD 62
+
+281
+00:27:19,140 --> 00:27:27,340
+هذه
+
+282
+00:27:27,340 --> 00:27:31,390
+عندي ستة ملي متر، الستة هي حتكون مقسمة على العينين،
+
+283
+00:27:31,390 --> 00:27:41,590
+الـ right والـ left، نقسمها على اثنين، و
+
+284
+00:27:41,590 --> 00:27:44,810
+بما أن قيمة الـ frame BD أكبر من قيمة الـ IPD، فبيكون
+
+285
+00:27:44,810 --> 00:27:51,590
+الثلاثة للداخل، inward، تمام
+
+286
+00:27:51,590 --> 00:27:54,150
+100%، okay
+
+287
+00:27:59,990 --> 00:28:04,370
+هذه قيمة الـ Decentration لكل عين، So for the
+
+288
+00:28:04,370 --> 00:28:08,950
+example، the Decentration needed per lens is 3 mm
+
+289
+00:28:08,950 --> 00:28:18,930
+in، or inward، طيب
+
+290
+00:28:18,930 --> 00:28:29,760
+نحَلّ السؤال هذا، If a patient has a BD of 64 mm، and
+
+291
+00:28:29,760 --> 00:28:35,540
+chooses، راح على مركز بصريات واختار إطار، الإطار
+
+292
+00:28:35,540 --> 00:28:41,240
+اللي اختاره كان عنده الـ eye size خمسين ملي متر، والـ
+
+293
+00:28:41,240 --> 00:28:46,480
+الـ bridge size كان عنده ثمانية عشر ملي، بدنا نحسب
+
+294
+00:28:46,480 --> 00:28:51,980
+قداش قيمة الـ total decentration للعدسة ككل، للـ
+
+295
+00:28:51,980 --> 00:28:55,560
+right والـ left، مدام قال لي total decentration، إذا
+
+296
+00:28:55,560 --> 00:28:57,360
+بتشمل الـ both eyes
+
+297
+00:29:09,830 --> 00:29:28,190
+طبعاً هو مديني اثنين ملي، أربعة ملي، ثمانية ملي، طيب
+
+298
+00:29:28,190 --> 00:29:34,310
+أربعة ملي حتكون inward ولا outward؟ inward، تمام، مئة
+
+299
+00:29:34,310 --> 00:29:37,990
+في المئة، ليش؟ أكبر من اللي هو الـ IPD
+
+300
+00:29:42,220 --> 00:29:47,460
+الكل حلو، إيه
+
+301
+00:29:47,460 --> 00:29:49,940
+كتبوه؟ ده، حبين
+
+302
+00:30:47,030 --> 00:30:57,310
+تمام، طب السؤال الآخر، a patient with a BD of 62
+
+303
+00:30:57,310 --> 00:31:04,310
+millimeter chooses a frame، برضه راح مركز بصريات
+
+304
+00:31:04,310 --> 00:31:13,230
+واختار إطار with the following dimensions، 54 to 16
+
+305
+00:31:13,230 --> 00:31:15,450
+140
+
+306
+00:31:16,800 --> 00:31:23,400
+What is the decentration per lenses؟ إذا بدنا قيمة
+
+307
+00:31:23,400 --> 00:31:27,120
+الـ Decentration لكل عدسة في هذه الحالة، يعني
+
+308
+00:31:27,120 --> 00:31:46,500
+للـ Right وللـ Left، يعني ما بدناش الـ Total، تمام
+
+309
+00:31:51,600 --> 00:31:56,420
+Inward ولا outward؟ inward، ليه؟ عشان قيمة الـ frame
+
+310
+00:31:56,420 --> 00:32:04,060
+BD أكبر من الـ IPD، طبعاً هو هنا مديني معطى إيه؟ الـ
+
+311
+00:32:04,060 --> 00:32:09,080
+a dimension مع الـ bridge size، بس مديني إياهم بشكل
+
+312
+00:32:09,080 --> 00:32:14,220
+formula، بالإضافة لـ temple length اللي هي مئة وأربعون
+
+313
+00:32:14,220 --> 00:32:14,860
+ملي متر
+
+314
+00:32:19,190 --> 00:32:22,970
+طب لو قلنا الـ total decentration قداش القيمة؟
+
+315
+00:32:22,970 --> 00:32:31,990
+حتكون ثمانية، مئة في المئة طبعاً، هذه كلها أحياناً in
+
+316
+00:32:31,990 --> 00:32:35,330
+symmetrical
+
+317
+00:32:35,330 --> 00:32:42,470
+Fisher
+
+318
+00:32:42,470 --> 00:32:46,570
+cases
+
+319
+00:32:48,110 --> 00:32:53,330
+يعني في الحالات اللي بيكون قيمة الـ Decentration
+
+320
+00:32:53,330 --> 00:32:57,150
+للـ Right وللـ Left متساوية، يعني لو هنأزح ثلاثة
+
+321
+00:32:57,150 --> 00:33:00,370
+ملي، هنأزح ثلاثة ملي، هنأزح اثنين ملي، هنأزح اثنين ملي، هنأزح
+
+322
+00:33:00,370 --> 00:33:03,570
+واحد ملي، هنأزح واحد ملي، هذه إيش بنسميها؟
+
+323
+00:33:03,570 --> 00:33:08,890
+Symmetrical Fisher Cases، يعني إن الوجه بتاع الشخص
+
+324
+00:33:08,890 --> 00:33:12,650
+بيكون إيش ماله؟ متساوي أو اللي هو متشابه
+
+325
+00:33:31,110 --> 00:33:37,090
+طيب في عندنا determining decentration from
+
+326
+00:33:37,090 --> 00:33:44,410
+monocular PD، تحديد قيمة الإزاحة لكل عين على حدة
+
+327
+00:33:44,410 --> 00:33:49,410
+for a monocular PD، كيف احنا حسبنا الـ monocular PD؟
+
+328
+00:33:49,410 --> 00:33:54,990
+من الـ center of a pupil للـ center of a bridge أو
+
+329
+00:33:54,990 --> 00:34:01,240
+الـ center of nose، تمام؟ لو الشخص ما بيلبسش نظارة، إذن
+
+330
+00:34:01,240 --> 00:34:06,120
+for a monocular PD، the reference is basically، يعني
+
+331
+00:34:06,120 --> 00:34:10,740
+أساساً from the center of the bridge of the nose
+
+332
+00:34:10,740 --> 00:34:15,560
+to the center of the pupil، بهذه الطريقة بنحسب الـ
+
+333
+00:34:15,560 --> 00:34:19,440
+monocular PD، for
+
+334
+00:34:19,440 --> 00:34:25,800
+example، if we have a more conventionally measured
+
+335
+00:34:25,800 --> 00:34:31,100
+يعني بمعنى قياس تقليدي، monocular PD كان عنده
+
+336
+00:34:31,100 --> 00:34:36,300
+قيمته أربعة وستين ملي ميتر، We may have a right
+
+337
+00:34:36,300 --> 00:34:41,820
+monocular BD of thirty-one، إذا للعين اليمنى كان
+
+338
+00:34:41,820 --> 00:34:46,880
+قداش؟ واحد وثلاثين، And a left monocular BD of
+
+339
+00:34:46,880 --> 00:34:51,060
+thirty-three، أما بالنسبة للـ left eye، thirty-three
+
+340
+00:34:51,060 --> 00:34:55,620
+إذا هنا على طول إيش بعرف؟ أنه عنده asymmetrical، a
+
+341
+00:34:55,620 --> 00:35:04,130
+clinical fissure، Okay، this
+
+342
+00:35:04,130 --> 00:35:08,290
+difference between left and right PD is
+
+343
+00:35:08,290 --> 00:35:13,890
+considering، أنه بيعتبر the asymmetry of facial
+
+344
+00:35:13,890 --> 00:35:20,380
+fissures، or fissures of many normal individuals، و
+
+345
+00:35:20,380 --> 00:35:24,360
+هذه بتكون لكثير من اللي هو الأشخاص الطبيعيين، أنه
+
+346
+00:35:24,360 --> 00:35:28,660
+اختلاف في خصائص أو في ملامح اللي هو الوجه ما بين
+
+347
+00:35:28,660 --> 00:35:35,760
+الـ right side والـ left side، for a monocular PD,
+
+348
+00:35:36,440 --> 00:35:41,760
+Decentration is determined by first dividing the
+
+349
+00:35:41,760 --> 00:35:45,980
+distance between centers of the frame by two، يعني
+
+350
+00:35:45,980 --> 00:35:52,670
+بدي أقسم قيمة الـ PD أو الـ frame PD على اثنين،
+
+351
+00:35:52,670 --> 00:35:57,430
+الـ right والـ left، وبعد ذلك بدي أطرح، يعني بمعنى
+
+352
+00:35:57,430 --> 00:36:01,350
+آخر، إذا كان عندي معطيين بقدر أجيب الثالث، يعني لو
+
+353
+00:36:01,350 --> 00:36:06,290
+مديني مثلاً الـ monocular PD للـ right ومديني الـ
+
+354
+00:36:06,290 --> 00:36:10,510
+total الـ frame PD، بقدر أجيب للـ left، والعكس صحيح
+
+355
+00:36:10,510 --> 00:36:16,850
+okay، Thus or So، Decentration بيساوي distance between
+
+356
+00:36:16,850 --> 00:36:21,410
+centers على اثنين، ناقص اللي هو monocular BD أو الـ
+
+357
+00:36:21,410 --> 00:36:25,850
+A dimension، تمام، اللي هي الـ bridge size زائد الـ
+
+358
+00:36:25,850 --> 00:36:29,330
+distance between lenses على اثنين، ناقص الـ monocular
+
+359
+00:36:29,330 --> 00:36:36,290
+حسب المعطى اللي مديني إياه في السؤال، هنا مثلاً عندنا
+
+360
+00:36:36,290 --> 00:36:46,070
+مثال، A patient with a BD of 60 mm، إذا هذه إيش
+
+361
+00:36:46,070 --> 00:36:57,630
+بتمثل؟ الـ IBD، A frame with an eye size of 52 mm
+
+362
+00:36:57,630 --> 00:37:01,890
+إذا هذه إيش بتمثل؟ الـ A dimension أو الـ bridge size
+
+363
+00:37:01,890 --> 00:37:06,670
+أو عفواً الـ A dimension، اللي هي بتمثل الـ lens size
+
+364
+00:37:06,670 --> 00:37:11,930
+أو الـ eye size، and a bridge size of sixteen
+
+365
+00:37:11,930 --> 00:37:18,770
+millimeters، أو بنسميها الـ minimum distance between
+
+366
+00:37:18,770 --> 00:37:24,010
+the two lenses، with an effective diameter، قداش
+
+367
+00:37:24,010 --> 00:37:27,370
+قيمتها؟ ستة وخمسين ملي متر، فاكرين الـ effective
+
+368
+00:37:27,370 --> 00:37:33,270
+diameter، صح؟ بدنا نحسب قداش الـ minimum a blank size
+
+369
+00:37:33,270 --> 00:37:39,490
+of a single visual lens that can be used to
+
+370
+00:37:39,490 --> 00:37:45,310
+fabricate these spectacles، يعني يكون ملائم لهذه
+
+371
+00:37:45,310 --> 00:37:56,010
+النضارة، إذا المجهول عندنا مين؟ الـ minimum، تمام
+
+372
+00:37:56,010 --> 00:38:01,650
+كيف بدنا نحسبها؟ هذا يعتبر اللي هو الـ X، حلوها
+
+373
+00:38:01,650 --> 00:38:03,410
+عندكم عشان نتناقش فيها
+
+374
+00:38:45,830 --> 00:38:49,650
+كنا في قانون الـ minimum blank size، إيش بيساوي؟
+
+375
+00:38:49,650 --> 00:38:57,410
+effective diameter زائد اللي هو اثنين Decentration
+
+376
+00:38:57,410 --> 00:39:02,370
+زائد اثنين ملي، صح ولا لأ؟ أول حاجة احسب كم قيمة الـ
+
+377
+00:39:02,370 --> 00:39:08,270
+IBD، وكم قيمة الـ frame BD، كم أن قيمة الـ IBD
+
+378
+00:39:08,270 --> 00:39:13,160
+مديني إياها ستين ملي، طيب الـ frame BD، ثمانية وستين
+
+379
+00:39:13,160 --> 00:39:17,860
+ثمانية وستين، الآن استخرجي قداش قيمة الـ
+
+380
+00:39:17,860 --> 00:39:22,360
+decentralization؟ أربعة
+
+381
+00:39:22,360 --> 00:39:27,260
+أربعة لكل عين ولا للعينين؟ احنا بدنا للكل، ثمانية
+
+382
+00:39:27,260 --> 00:39:34,340
+ثمانية، إذا ثمانية في اثنين، ستة عشر، زائد اثنين
+
+383
+00:39:34,340 --> 00:39:40,060
+ثمانية عشر، قداش الـ effective diameter؟ نجمعهم، ستة و
+
+384
+00:39:40,060 --> 00:39:49,060
+خمسين، وثمانية عشر، أربعة
+
+385
+00:39:49,060 --> 00:39:54,920
+وسبعون، أربعة
+
+386
+00:39:54,920 --> 00:39:59,620
+وسبعون ولا أربعة وسبعين؟ كيف؟
+
+387
+00:40:02,810 --> 00:40:07,150
+الآن، طبقتوا القانون عندنا، الـ minimum blank size
+
+388
+00:40:07,150 --> 00:40:12,510
+إيش بتساوي؟ effective diameter، تمام، اللي هي ستة و
+
+389
+00:40:12,510 --> 00:40:18,350
+خمسين، زائد، لحظة
+
+390
+00:40:18,350 --> 00:40:25,090
+بس قداش عندنا الـ decentration؟ حكينا طيب ثمانية في
+
+391
+00:40:25,090 --> 00:40:28,730
+اثنين، ستة عشر، طيب
+
+392
+00:40:30,620 --> 00:40:34,880
+هو القانون هيك: effective diameter زائد اللي هو اثنين
+
+393
+00:40:34,880 --> 00:40:40,360
+decentration زائد
+
+394
+00:40:40,360 --> 00:40:45,020
+اثنين ملي، الجماعة، مش هيك القانون، أخذناها، minimum
+
+395
+00:40:45,020 --> 00:40:54,400
+الـ blank size بيساوي effective diameter زائد
+
+396
+00:40:54,400 --> 00:41:02,560
+اثنين decentration زائد اثنين ملي، تمام؟ الآن عندنا
+
+397
+00:41:02,560 --> 00:41:08,980
+الـ effective diameter قداش؟ سبعة وخمسين، آه
+
+398
+00:41:08,980 --> 00:41:16,680
+عفواً، زائد
+
+399
+00:41:16,680 --> 00:41:24,200
+اثنين في ثمانية زائد اثنين، صح؟ مجموعها قداش هيك؟
+
+400
+00:41:29,360 --> 00:41:33,700
+أربعة وسبعين، تمام، في اختيار أربعة وسبعين، لأ، إذا
+
+401
+0
+
+445
+00:46:41,770 --> 00:46:46,530
+أخذنا ثلاثة ملي طيب ليش hand in لأن قيمة ال
+
+446
+00:46:46,530 --> 00:46:55,310
+frame PD أكبر من ال IPD واضحة لكل
+
+447
+00:46:55,310 --> 00:47:01,530
+عين ستظهر 1.5 نعم
+
+448
+00:47:06,320 --> 00:47:10,340
+هي عندنا ال distance between lenses حسب ال a
+
+449
+00:47:10,340 --> 00:47:15,860
+dimension وحسب ال bridge size استطعنا أن نعرف قداش
+
+450
+00:47:15,860 --> 00:47:20,220
+قيمة ال decentralization لكل عين  إن شاء الله
+
+451
+00:47:20,220 --> 00:47:25,520
+لنقطة ال vertical decentralization أو ال vertical
+
+452
+00:47:25,520 --> 00:47:28,100
+centralization للمحاضرة القادمة
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME_raw.json b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e563396b8228f94551280758e229c20172ba2e9
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/e26MxmuyGME_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 4819, "start": 21.19, "end": 48.19, "text": "بسم الله الرحمن الرحيم السلام عليكم و رحمة الله و بركاته و أهلا و أهلا بكم جميعا سنبدأ اليوم في موضوع references points and lens centration references points أي بمعنى النقاط المرجعية في داخل العدسة بينما ال lens centration تمركز العدسة", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 21136, 37440, 25894, 24793, 4032, 12602, 35571, 3660, 21984, 4032, 4724, 31747, 9307, 3224, 4032, 5551, 3224, 15040, 4032, 5551, 3224, 15040, 4724, 24793, 10874, 2304, 40228, 995, 8608, 1863, 44510, 10721, 45595, 20498, 8978, 3714, 2407, 11242, 45367, 15400, 2793, 293, 6765, 1489, 2405, 15400, 2793, 36632, 4724, 2304, 3615, 1863, 7578, 28239, 4587, 41193, 9673, 47341, 3615, 10632, 8978, 11778, 47283, 1211, 18863, 3215, 3794, 3660, 49374, 15042, 2423, 6765, 1489, 2405, 6055, 29973, 4117, 11622, 18863, 3215, 3794, 3660], "avg_logprob": -0.2095787973831529, "compression_ratio": 1.7902439024390244, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 21.19, "end": 21.49, "word": "بسم", "probability": 0.66259765625}, {"start": 21.49, "end": 21.61, "word": " الله", "probability": 0.9501953125}, {"start": 21.61, "end": 21.95, "word": " الرحمن", "probability": 0.9783528645833334}, {"start": 21.95, "end": 22.43, "word": " الرحيم", "probability": 0.9938151041666666}, {"start": 22.43, "end": 22.83, "word": " السلام", "probability": 0.875}, {"start": 22.83, "end": 23.33, "word": " عليكم", "probability": 0.955810546875}, {"start": 23.33, "end": 23.49, "word": " و", "probability": 0.99609375}, {"start": 23.49, "end": 23.79, "word": " رحمة", "probability": 0.7587890625}, {"start": 23.79, "end": 24.05, "word": " الله", "probability": 0.98681640625}, {"start": 24.05, "end": 24.21, "word": " و", "probability": 0.96728515625}, {"start": 24.21, "end": 24.87, "word": " بركاته", "probability": 0.9061279296875}, {"start": 24.87, "end": 25.35, "word": " و", "probability": 0.64794921875}, {"start": 25.35, "end": 25.65, "word": " أهلا", "probability": 0.6350504557291666}, {"start": 25.65, "end": 26.65, "word": " و", "probability": 0.2900390625}, {"start": 26.65, "end": 26.65, "word": " أهلا", "probability": 0.7964680989583334}, {"start": 26.65, "end": 27.15, "word": " بكم", "probability": 0.7088623046875}, {"start": 27.15, "end": 27.73, "word": " جميعا", "probability": 0.7908935546875}, {"start": 27.73, "end": 29.11, "word": " سنبدأ", "probability": 0.75579833984375}, {"start": 29.11, "end": 30.53, "word": " اليوم", "probability": 0.771240234375}, {"start": 30.53, "end": 30.81, "word": " في", "probability": 0.5078125}, {"start": 30.81, "end": 31.45, "word": " موضوع", "probability": 0.986083984375}, {"start": 31.45, "end": 32.73, "word": " references", "probability": 0.395751953125}, {"start": 32.73, "end": 33.87, "word": " points", "probability": 0.341064453125}, {"start": 33.87, "end": 34.35, "word": " and", "probability": 0.736328125}, {"start": 34.35, "end": 34.73, "word": " lens", "probability": 0.9150390625}, {"start": 34.73, "end": 35.47, "word": " centration", "probability": 0.729248046875}, {"start": 35.47, "end": 36.91, "word": " references", "probability": 0.51708984375}, {"start": 36.91, "end": 37.87, "word": " points", "probability": 0.90869140625}, {"start": 37.87, "end": 38.23, "word": " أي", "probability": 0.53662109375}, {"start": 38.23, "end": 39.33, "word": " بمعنى", "probability": 0.9484375}, {"start": 39.33, "end": 40.21, "word": " النقاط", "probability": 0.9055989583333334}, {"start": 40.21, "end": 41.41, "word": " المرجعية", "probability": 0.9869384765625}, {"start": 41.41, "end": 41.89, "word": " في", "probability": 0.82373046875}, {"start": 41.89, "end": 42.47, "word": " داخل", "probability": 0.97998046875}, {"start": 42.47, "end": 43.49, "word": " العدسة", "probability": 0.9832763671875}, {"start": 43.49, "end": 44.67, "word": " بينما", "probability": 0.941650390625}, {"start": 44.67, "end": 45.23, "word": " ال", 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{"start": 63.3, "end": 64.1, "word": " بصري", "probability": 0.99365234375}, {"start": 64.1, "end": 65.5, "word": " يتم", "probability": 0.985595703125}, {"start": 65.5, "end": 66.88, "word": " تجهيزه", "probability": 0.9890950520833334}, {"start": 66.88, "end": 67.38, "word": " في", "probability": 0.8818359375}, {"start": 67.38, "end": 68.24, "word": " داخل", "probability": 0.974609375}, {"start": 68.24, "end": 69.14, "word": " المعمل", "probability": 0.97998046875}, {"start": 69.14, "end": 69.88, "word": " تمام", "probability": 0.787353515625}, {"start": 69.88, "end": 71.0, "word": " بتكون", "probability": 0.7392578125}, {"start": 71.0, "end": 71.86, "word": " من", "probability": 0.994140625}, {"start": 71.86, "end": 72.46, "word": " z", "probability": 0.53125}, {"start": 72.46, "end": 73.0, "word": " area", "probability": 0.744140625}, {"start": 73.0, "end": 73.8, "word": " او", "probability": 0.849853515625}, {"start": 73.8, "end": 74.18, "word": " x", "probability": 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{"start": 98.58, "end": 99.22, "word": " ال", "probability": 0.7158203125}, {"start": 99.22, "end": 99.58, "word": " lens", "probability": 0.9287109375}, {"start": 99.58, "end": 100.04, "word": " power", "probability": 0.92333984375}, {"start": 100.04, "end": 101.68, "word": " للعدسة", "probability": 0.947021484375}, {"start": 101.68, "end": 102.34, "word": " okay", "probability": 0.6796875}, {"start": 102.34, "end": 105.72, "word": " this", "probability": 0.73974609375}, {"start": 105.72, "end": 106.06, "word": " is", "probability": 0.95654296875}, {"start": 106.06, "end": 106.82, "word": " usually", "probability": 0.912109375}, {"start": 106.82, "end": 107.46, "word": " done", "probability": 0.861328125}], "temperature": 1.0}, {"id": 4, "seek": 13688, "start": 108.4, "end": 136.88, "text": "or this is usually carried out or this is usually performed يعني هذه عادة بتعملها او اجراءها by a process called lens surfacing اذا تحديد قوة العدسة بتتم اجراءها في مكان تصطيح العدسة okay يعني ال 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"temperature": 1.0}, {"id": 5, "seek": 14362, "start": 138.66, "end": 143.62, "text": "والعمل المنشئة هذه اللي بتعمل ال lens power", "tokens": [2407, 6027, 25957, 1211, 9673, 1863, 8592, 19986, 3660, 29538, 13672, 1829, 39894, 25957, 1211, 2423, 6765, 1347], "avg_logprob": -0.49095396619094045, "compression_ratio": 1.09375, "no_speech_prob": 0.0, "words": [{"start": 138.66, "end": 139.72, "word": "والعمل", "probability": 0.45166015625}, {"start": 139.72, "end": 140.78, "word": " المنشئة", "probability": 0.75537109375}, {"start": 140.78, "end": 141.14, "word": " هذه", "probability": 0.5615234375}, {"start": 141.14, "end": 142.02, "word": " اللي", "probability": 0.71142578125}, {"start": 142.02, "end": 142.68, "word": " بتعمل", "probability": 0.9215494791666666}, {"start": 142.68, "end": 142.92, "word": " ال", "probability": 0.884765625}, {"start": 142.92, "end": 143.22, "word": " lens", "probability": 0.8447265625}, {"start": 143.22, "end": 143.62, "word": " power", "probability": 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"probability": 0.974609375}, {"start": 227.07, "end": 227.59, "word": " marker", "probability": 0.73193359375}, {"start": 227.59, "end": 228.17, "word": " تعليم", "probability": 0.9723307291666666}, {"start": 228.17, "end": 228.87, "word": " للعدسة", "probability": 0.91796875}], "temperature": 1.0}, {"id": 9, "seek": 25982, "start": 230.56, "end": 259.82, "text": "and grinding the edges بدنا نعمل عملية أيضا قص للعدسة ال uncut lens so that the lens fits the shape of the chosen frame الآن المريض اختار او عمل selection للاطار لازم نقص العدسة على نفس شكل الاطار اللى تم اختياره okay", "tokens": [474, 25300, 264, 8819, 47525, 8315, 8717, 25957, 1211, 6225, 42213, 10632, 36632, 11242, 995, 12174, 9381, 24976, 22488, 3794, 3660, 2423, 6219, 325, 6765, 370, 300, 264, 6765, 9001, 264, 3909, 295, 264, 8614, 3920, 6024, 48506, 9673, 16572, 11242, 1975, 46456, 9640, 1975, 2407, 6225, 42213, 9450, 24976, 41193, 9640, 5296, 31377, 2304, 8717, 4587, 9381, 18863, 3215, 3794, 3660, 15844, 8717, 36178, 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0.952392578125}, {"start": 237.48, "end": 237.78, "word": " ال", "probability": 0.82373046875}, {"start": 237.78, "end": 238.22, "word": " uncut", "probability": 0.756103515625}, {"start": 238.22, "end": 238.62, "word": " lens", "probability": 0.86572265625}, {"start": 238.62, "end": 240.3, "word": " so", "probability": 0.517578125}, {"start": 240.3, "end": 240.76, "word": " that", "probability": 0.9521484375}, {"start": 240.76, "end": 242.1, "word": " the", "probability": 0.81982421875}, {"start": 242.1, "end": 242.6, "word": " lens", "probability": 0.8837890625}, {"start": 242.6, "end": 243.42, "word": " fits", "probability": 0.79931640625}, {"start": 243.42, "end": 243.84, "word": " the", "probability": 0.89111328125}, {"start": 243.84, "end": 244.24, "word": " shape", "probability": 0.9189453125}, {"start": 244.24, "end": 244.6, "word": " of", "probability": 0.9794921875}, {"start": 244.6, "end": 245.0, "word": " the", "probability": 0.92919921875}, {"start": 245.0, "end": 245.72, "word": " chosen", "probability": 0.953125}, {"start": 245.72, "end": 246.3, "word": " frame", "probability": 0.9228515625}, {"start": 246.3, "end": 247.66, "word": " الآن", "probability": 0.6129150390625}, {"start": 247.66, "end": 248.14, "word": " المريض", "probability": 0.9861653645833334}, {"start": 248.14, "end": 248.72, "word": " اختار", "probability": 0.9563802083333334}, {"start": 248.72, "end": 249.06, "word": " او", "probability": 0.942626953125}, {"start": 249.06, "end": 249.42, "word": " عمل", "probability": 0.98095703125}, {"start": 249.42, "end": 250.7, "word": " selection", "probability": 0.93994140625}, {"start": 250.7, "end": 251.78, "word": " للاطار", "probability": 0.8214518229166666}, {"start": 251.78, "end": 253.16, "word": " لازم", "probability": 0.9733072916666666}, {"start": 253.16, "end": 253.68, "word": " نقص", "probability": 0.9817708333333334}, {"start": 253.68, "end": 254.6, "word": " العدسة", "probability": 0.981689453125}, {"start": 254.6, "end": 255.74, "word": " على", "probability": 0.8740234375}, {"start": 255.74, "end": 256.18, "word": " نفس", "probability": 0.99609375}, {"start": 256.18, "end": 256.7, "word": " شكل", "probability": 0.981689453125}, {"start": 256.7, "end": 257.3, "word": " الاطار", "probability": 0.7667643229166666}, {"start": 257.3, "end": 258.38, "word": " اللى", "probability": 0.73876953125}, {"start": 258.38, "end": 258.62, "word": " تم", "probability": 0.99658203125}, {"start": 258.62, "end": 259.28, "word": " اختياره", "probability": 0.9666015625}, {"start": 259.28, "end": 259.82, "word": " okay", "probability": 0.7099609375}], "temperature": 1.0}, {"id": 10, "seek": 28945, "start": 260.8, "end": 289.46, "text": "إذا أول حاجة حددنا ال spotting points أو علمنا العدسة النقطة التانية اعملنا قص للعدسة و خلناها تكون مناسبة لمين للإطار اللي اختاره المريض و مين هذا اللي بيقوم فيه ال optician اذا هذه المهام كلها هيتها لoptician", "tokens": [28814, 15730, 5551, 12610, 11331, 26108, 3660, 11331, 3215, 3215, 8315, 2423, 4008, 783, 2793, 34051, 11203, 2304, 8315, 18863, 3215, 3794, 3660, 28239, 47432, 3660, 16712, 7649, 10632, 1975, 25957, 1211, 8315, 12174, 9381, 24976, 22488, 3794, 3660, 4032, 16490, 1211, 8315, 11296, 6055, 30544, 3714, 8315, 35457, 3660, 32767, 9957, 24976, 28814, 9566, 9640, 13672, 1829, 1975, 46456, 9640, 3224, 9673, 16572, 11242, 4032, 3714, 9957, 23758, 13672, 1829, 4724, 1829, 4587, 20498, 8978, 3224, 2423, 2427, 9027, 1975, 15730, 29538, 9673, 3224, 10943, 28242, 11296, 39896, 2655, 11296, 5296, 5747, 9027], "avg_logprob": -0.16620065789473684, "compression_ratio": 1.7918781725888324, "no_speech_prob": 0.0, "words": [{"start": 260.8, "end": 261.08, "word": "إذا", "probability": 0.52789306640625}, {"start": 261.08, "end": 261.4, "word": " أول", "probability": 0.823486328125}, {"start": 261.4, "end": 261.76, "word": " حاجة", "probability": 0.9913736979166666}, {"start": 261.76, "end": 262.46, "word": " حددنا", "probability": 0.9669189453125}, {"start": 262.46, "end": 263.24, "word": " ال", "probability": 0.97119140625}, {"start": 263.24, "end": 263.9, "word": " spotting", "probability": 0.551025390625}, {"start": 263.9, "end": 264.42, "word": " points", "probability": 0.86767578125}, {"start": 264.42, "end": 265.72, "word": " أو", "probability": 0.74462890625}, {"start": 265.72, "end": 266.34, "word": " علمنا", "probability": 0.9143880208333334}, {"start": 266.34, "end": 267.18, "word": " العدسة", "probability": 0.9774169921875}, {"start": 267.18, "end": 268.32, "word": " النقطة", "probability": 0.9557291666666666}, {"start": 268.32, "end": 268.82, "word": " التانية", "probability": 0.98828125}, {"start": 268.82, "end": 269.6, "word": " اعملنا", "probability": 0.87841796875}, {"start": 269.6, "end": 269.96, "word": " قص", "probability": 0.992919921875}, {"start": 269.96, "end": 271.0, "word": " للعدسة", "probability": 0.97265625}, {"start": 271.0, "end": 271.96, "word": " و", "probability": 0.974609375}, {"start": 271.96, "end": 273.0, "word": " خلناها", "probability": 0.853759765625}, {"start": 273.0, "end": 273.66, "word": " تكون", "probability": 0.984619140625}, {"start": 273.66, "end": 274.36, "word": " مناسبة", "probability": 0.955322265625}, {"start": 274.36, "end": 274.72, "word": " لمين", "probability": 0.74755859375}, {"start": 274.72, "end": 275.64, "word": " للإطار", "probability": 0.886474609375}, {"start": 275.64, "end": 276.0, "word": " اللي", "probability": 0.90478515625}, {"start": 276.0, "end": 276.42, "word": " اختاره", "probability": 0.9459228515625}, {"start": 276.42, "end": 276.86, "word": " المريض", "probability": 0.9930013020833334}, {"start": 276.86, "end": 278.56, "word": " و", "probability": 0.91943359375}, {"start": 278.56, "end": 278.72, "word": " مين", "probability": 0.739013671875}, {"start": 278.72, "end": 278.92, "word": " هذا", "probability": 0.94189453125}, {"start": 278.92, "end": 279.04, "word": " اللي", "probability": 0.985107421875}, {"start": 279.04, "end": 279.4, "word": " بيقوم", "probability": 0.934326171875}, {"start": 279.4, "end": 280.02, "word": " فيه", "probability": 0.978759765625}, {"start": 280.02, "end": 280.24, "word": " ال", "probability": 0.67626953125}, {"start": 280.24, "end": 280.8, "word": " optician", "probability": 0.732177734375}, {"start": 280.8, "end": 282.98, "word": " اذا", "probability": 0.627685546875}, {"start": 282.98, "end": 283.28, "word": " هذه", "probability": 0.89208984375}, {"start": 283.28, "end": 283.84, "word": " المهام", "probability": 0.95068359375}, {"start": 283.84, "end": 284.66, "word": " كلها", "probability": 0.867431640625}, {"start": 284.66, "end": 285.2, "word": " هيتها", "probability": 0.5721028645833334}, {"start": 285.2, "end": 289.46, "word": " لoptician", "probability": 0.7098795572916666}], "temperature": 1.0}, {"id": 11, "seek": 31777, "start": 293.91, "end": 317.77, "text": "The area where this occurs is known as the finishing laboratory هذه العملية بتتم إجراءها في داخل معمل إعداد النضارات اللي احنا بنسميه finishing laboratory أو dispensing laboratory أو dispensing lab", "tokens": [2278, 1859, 689, 341, 11843, 307, 2570, 382, 264, 12693, 16523, 29538, 18863, 42213, 10632, 39894, 39237, 11933, 7435, 2288, 16606, 11296, 8978, 11778, 47283, 1211, 20449, 42213, 11933, 22488, 18513, 28239, 11242, 9640, 9307, 13672, 1829, 1975, 5016, 8315, 44945, 38251, 1829, 3224, 12693, 16523, 34051, 4920, 22481, 16523, 34051, 4920, 22481, 2715], "avg_logprob": -0.1678977305238897, "compression_ratio": 1.532544378698225, "no_speech_prob": 0.0, "words": [{"start": 293.91, "end": 294.15, "word": "The", "probability": 0.1031494140625}, {"start": 294.15, "end": 294.65, "word": " area", "probability": 0.88134765625}, {"start": 294.65, "end": 295.35, "word": " where", "probability": 0.95703125}, {"start": 295.35, "end": 295.81, "word": " this", "probability": 0.9541015625}, {"start": 295.81, "end": 296.87, "word": " occurs", "probability": 0.9228515625}, {"start": 296.87, "end": 297.71, "word": " is", "probability": 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{"start": 306.81, "end": 308.25, "word": " إعداد", "probability": 0.9703776041666666}, {"start": 308.25, "end": 308.93, "word": " النضارات", "probability": 0.8802490234375}, {"start": 308.93, "end": 309.17, "word": " اللي", "probability": 0.882568359375}, {"start": 309.17, "end": 309.33, "word": " احنا", "probability": 0.80810546875}, {"start": 309.33, "end": 310.03, "word": " بنسميه", "probability": 0.9525146484375}, {"start": 310.03, "end": 310.41, "word": " finishing", "probability": 0.91162109375}, {"start": 310.41, "end": 312.27, "word": " laboratory", "probability": 0.935546875}, {"start": 312.27, "end": 312.71, "word": " أو", "probability": 0.5859375}, {"start": 312.71, "end": 313.81, "word": " dispensing", "probability": 0.950439453125}, {"start": 313.81, "end": 314.61, "word": " laboratory", "probability": 0.96337890625}, {"start": 314.61, "end": 315.33, "word": " أو", "probability": 0.8525390625}, {"start": 315.33, "end": 317.21, "word": " dispensing", "probability": 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{"start": 323.01, "end": 323.49, "word": " finishing", "probability": 0.91796875}, {"start": 323.49, "end": 324.65, "word": " laboratory", "probability": 0.90576171875}, {"start": 324.65, "end": 325.83, "word": " is", "probability": 0.96142578125}, {"start": 325.83, "end": 326.49, "word": " also", "probability": 0.85986328125}, {"start": 326.49, "end": 327.33, "word": " referred", "probability": 0.884765625}, {"start": 327.33, "end": 327.73, "word": " to", "probability": 0.9716796875}, {"start": 327.73, "end": 328.25, "word": " as", "probability": 0.9736328125}, {"start": 328.25, "end": 329.35, "word": " an", "probability": 0.86328125}, {"start": 329.35, "end": 329.87, "word": " edging", "probability": 0.908447265625}, {"start": 329.87, "end": 330.79, "word": " laboratory", "probability": 0.9169921875}, {"start": 330.79, "end": 331.89, "word": " يعني", "probability": 0.840087890625}, {"start": 331.89, "end": 332.33, "word": " أيضا", "probability": 0.8756510416666666}, {"start": 332.33, "end": 332.65, "word": " هذا", "probability": 0.82861328125}, {"start": 332.65, "end": 333.13, "word": " المعمل", "probability": 0.9117838541666666}, {"start": 333.13, "end": 333.99, "word": " بيسمى", "probability": 0.874755859375}, {"start": 333.99, "end": 334.65, "word": " معنى", "probability": 0.8777669270833334}, {"start": 334.65, "end": 335.07, "word": " القص", "probability": 0.935791015625}, {"start": 335.07, "end": 335.79, "word": " العدسة", "probability": 0.981201171875}, {"start": 335.79, "end": 336.33, "word": " okay", "probability": 0.328369140625}, {"start": 336.33, "end": 338.37, "word": " ليه؟", "probability": 0.84228515625}, {"start": 338.37, "end": 339.05, "word": " because", "probability": 0.6201171875}, {"start": 339.05, "end": 340.21, "word": " it's", "probability": 0.83056640625}, {"start": 340.21, "end": 340.59, "word": " here", "probability": 0.86083984375}, {"start": 340.59, "end": 341.07, "word": " that", "probability": 0.93994140625}, {"start": 341.07, "end": 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قبل المريض في عندنا spotting of single vision lenses يعني عملية تعليم", "tokens": [1353, 264, 2296, 3909, 281, 3318, 264, 37303, 3920, 4724, 5016, 1829, 12984, 16472, 3224, 7251, 30544, 13412, 28820, 11296, 3714, 8315, 35457, 1975, 2407, 3714, 1211, 16373, 2304, 24976, 28814, 9566, 9640, 13672, 7578, 46811, 1975, 9778, 31371, 9640, 3224, 9154, 12174, 36150, 9673, 16572, 11242, 8978, 43242, 8315, 4008, 783, 295, 2167, 5201, 18059, 37495, 22653, 6225, 42213, 10632, 37279, 20292, 2304], "avg_logprob": -0.1765625, "compression_ratio": 1.3837837837837839, "no_speech_prob": 0.0, "words": [{"start": 348.33, "end": 348.55, "word": "to", "probability": 0.1126708984375}, {"start": 348.55, "end": 348.77, "word": " the", "probability": 0.8525390625}, {"start": 348.77, "end": 349.13, "word": " proper", "probability": 0.91943359375}, {"start": 349.13, "end": 349.61, "word": " shape", "probability": 0.94384765625}, {"start": 349.61, "end": 349.83, "word": " to", "probability": 0.9716796875}, 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lenses are marked on the front surface with a marker", "tokens": [270, 820, 312, 7261, 490, 264, 6765, 9255, 1975, 15730, 1975, 5016, 8315, 47525, 8315, 8717, 11622, 26895, 11296, 9154, 4032, 9957, 22807, 18871, 25724, 3224, 31377, 293, 12658, 337, 264, 558, 420, 1411, 3313, 4032, 44510, 8315, 8717, 24401, 3215, 16472, 3224, 8032, 1211, 1975, 5016, 8315, 47525, 8315, 8717, 14851, 9778, 40448, 29538, 18863, 3215, 3794, 3660, 24976, 3615, 9957, 2423, 32640, 9957, 1975, 2407, 24976, 3615, 9957, 25124, 2304, 6027, 18059, 366, 12658, 322, 264, 1868, 3753, 365, 257, 15247], "avg_logprob": -0.12918526643798464, "compression_ratio": 1.6076555023923444, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 663.02, "end": 663.26, "word": "it", "probability": 0.2091064453125}, {"start": 663.26, "end": 664.12, "word": " should", "probability": 0.970703125}, {"start": 664.12, "end": 664.84, "word": " be", "probability": 0.947265625}, {"start": 664.84, "end": 665.42, "word": " removed", 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"word": " احنا", "probability": 0.9656575520833334}, {"start": 677.84, "end": 678.12, "word": " بدنا", "probability": 0.96728515625}, {"start": 678.12, "end": 678.7, "word": " نستخدم", "probability": 0.9932861328125}, {"start": 678.7, "end": 679.04, "word": " هذه", "probability": 0.9638671875}, {"start": 679.04, "end": 679.66, "word": " العدسة", "probability": 0.978515625}, {"start": 679.66, "end": 680.32, "word": " للعين", "probability": 0.927734375}, {"start": 680.32, "end": 680.86, "word": " اليمين", "probability": 0.85498046875}, {"start": 680.86, "end": 681.36, "word": " او", "probability": 0.91064453125}, {"start": 681.36, "end": 681.74, "word": " للعين", "probability": 0.970703125}, {"start": 681.74, "end": 682.3, "word": " الشمال", "probability": 0.9090169270833334}, {"start": 682.3, "end": 687.04, "word": " lenses", "probability": 0.52880859375}, {"start": 687.04, "end": 687.98, "word": " are", "probability": 0.96337890625}, {"start": 687.98, "end": 689.2, "word": " marked", "probability": 0.81884765625}, {"start": 689.2, "end": 689.6, "word": " on", "probability": 0.95703125}, {"start": 689.6, "end": 689.8, "word": " the", "probability": 0.93310546875}, {"start": 689.8, "end": 690.24, "word": " front", "probability": 0.95947265625}, {"start": 690.24, "end": 691.24, "word": " surface", "probability": 0.900390625}, {"start": 691.24, "end": 691.66, "word": " with", "probability": 0.93408203125}, {"start": 691.66, "end": 691.9, "word": " a", "probability": 0.98388671875}, {"start": 691.9, "end": 692.24, "word": " marker", "probability": 0.8525390625}], "temperature": 1.0}, {"id": 26, "seek": 71789, "start": 693.39, "end": 717.89, "text": "وهذه حكيناها انه دايما ال spotting او ال marker هيكون في السطح الأمامي للعدسة okay the letter right طبعا هذا ال right بنسميه letter او symbol او بنسميه abbreviation يعني اختصار", "tokens": [2407, 3224, 24192, 11331, 4117, 1829, 8315, 11296, 16472, 3224, 11778, 47302, 15042, 2423, 4008, 783, 1975, 2407, 2423, 15247, 39896, 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ال", "probability": 0.896484375}, {"start": 697.05, "end": 697.53, "word": " marker", "probability": 0.9287109375}, {"start": 697.53, "end": 698.31, "word": " هيكون", "probability": 0.788330078125}, {"start": 698.31, "end": 698.45, "word": " في", "probability": 0.83251953125}, {"start": 698.45, "end": 698.83, "word": " السطح", "probability": 0.8771158854166666}, {"start": 698.83, "end": 699.39, "word": " الأمامي", "probability": 0.8892822265625}, {"start": 699.39, "end": 700.03, "word": " للعدسة", "probability": 0.943603515625}, {"start": 700.03, "end": 701.17, "word": " okay", "probability": 0.380859375}, {"start": 701.17, "end": 704.61, "word": " the", "probability": 0.306640625}, {"start": 704.61, "end": 705.01, "word": " letter", "probability": 0.92724609375}, {"start": 705.01, "end": 705.71, "word": " right", "probability": 0.289794921875}, {"start": 705.71, "end": 706.45, "word": " طبعا", "probability": 0.955078125}, {"start": 706.45, "end": 706.75, "word": " هذا", "probability": 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"text": "تمام؟ إذا ال abbreviation لو ال right أو ال left ما بنكتب right eye أو left eye فقط بنكتب قيمة اللي هو ال letter in upper case دايما أنا بحط وين؟ في ال upper case أيوة في الجزء العلوي أو النصف الأعلى من من العدسة is written in the upper half of the lens above the three spots فوق اللي هو من ال three spots", "tokens": [39237, 10943, 22807, 11933, 15730, 2423, 35839, 399, 45164, 2423, 558, 34051, 2423, 1411, 19446, 44945, 4117, 2655, 3555, 558, 3313, 34051, 1411, 3313, 6156, 47432, 44945, 4117, 2655, 3555, 12174, 32640, 3660, 13672, 1829, 31439, 2423, 5063, 294, 6597, 1389, 11778, 47302, 15042, 41850, 4724, 5016, 9566, 4032, 9957, 22807, 8978, 2423, 6597, 1389, 36632, 2407, 3660, 8978, 25724, 11622, 38207, 18863, 1211, 45865, 34051, 28239, 9381, 5172, 16247, 3615, 23942, 9154, 9154, 18863, 3215, 3794, 3660, 307, 3720, 294, 264, 6597, 1922, 295, 264, 6765, 3673, 264, 1045, 10681, 6156, 30543, 13672, 1829, 31439, 9154, 2423, 1045, 10681], "avg_logprob": -0.1850247530653925, 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الإطار مشابه لل IPD بتاعي فالغالب لأ فهذه العملية أنه بنعمل decentralization حتى نحاول نضع ال optical center of a lens بمحاذاة ال pupil center of the patient four frames that conform", "tokens": [1211, 33456, 3224, 32771, 6027, 3555, 995, 1975, 5016, 8315, 5296, 15042, 44945, 8592, 2655, 16572, 11933, 9566, 9640, 8032, 46538, 2423, 3920, 363, 35, 39894, 45761, 33688, 9566, 9640, 37893, 16758, 3224, 24976, 8671, 35, 39894, 45761, 1829, 6156, 6027, 17082, 6027, 3555, 5296, 10721, 6156, 3224, 24192, 18863, 42213, 10632, 14739, 3224, 44945, 25957, 1211, 26515, 2144, 11331, 49975, 8717, 5016, 995, 12610, 8717, 11242, 3615, 2423, 20674, 3056, 295, 257, 6765, 4724, 2304, 5016, 45636, 995, 3660, 2423, 44533, 3056, 295, 264, 4537, 1451, 12083, 300, 18975], "avg_logprob": -0.2201236325960893, "compression_ratio": 1.5022222222222221, "no_speech_prob": 0.0, "words": [{"start": 1195.49, "end": 1196.01, "word": "لأنه", "probability": 0.72900390625}, {"start": 1196.01, "end": 1196.57, "word": " 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بي", "probability": 0.5216064453125}, {"start": 1259.18, "end": 1259.46, "word": " دي", "probability": 0.98681640625}, {"start": 1259.46, "end": 1260.2, "word": " إيش", "probability": 0.7547200520833334}, {"start": 1260.2, "end": 1260.76, "word": " بساوي", "probability": 0.862060546875}, {"start": 1260.76, "end": 1262.62, "word": " ال", "probability": 0.9150390625}, {"start": 1262.62, "end": 1262.82, "word": " a", "probability": 0.7470703125}, {"start": 1262.82, "end": 1263.5, "word": " dimension", "probability": 0.94287109375}, {"start": 1263.5, "end": 1265.38, "word": " زائد", "probability": 0.8660481770833334}, {"start": 1265.38, "end": 1268.94, "word": " ال", "probability": 0.93701171875}, {"start": 1268.94, "end": 1269.42, "word": " bridge", "probability": 0.8955078125}, {"start": 1269.42, "end": 1273.16, "word": " size", "probability": 0.69482421875}], "temperature": 1.0}, {"id": 49, "seek": 129683, "start": 1277.66, "end": 1296.84, "text": "وقلنا بيكون مكتوب بالضبط وين هذا الأمر؟ على ال timble تمام؟ بيكون مثلا مكتوب عندنا خمسين اما مربع او اللي هو dash مثلا سبعتاش مجموعهم ايش بيمثل؟ ال frame PD تمام؟", "tokens": [2407, 4587, 1211, 8315, 4724, 1829, 30544, 3714, 4117, 2655, 37746, 20666, 11242, 3555, 9566, 4032, 9957, 23758, 16247, 29973, 22807, 15844, 2423, 524, 638, 46811, 10943, 22807, 4724, 1829, 30544, 50113, 15040, 3714, 4117, 2655, 37746, 43242, 8315, 16490, 2304, 3794, 9957, 1975, 15042, 3714, 25513, 3615, 1975, 2407, 13672, 1829, 31439, 8240, 50113, 15040, 8608, 3555, 34268, 33599, 3714, 7435, 2304, 45367, 16095, 1975, 1829, 8592, 4724, 32640, 12984, 1211, 22807, 2423, 3920, 10464, 46811, 10943, 22807], "avg_logprob": -0.20078124832361938, "compression_ratio": 1.6104651162790697, "no_speech_prob": 0.0, "words": [{"start": 1277.66, "end": 1278.08, "word": "وقلنا", "probability": 0.63397216796875}, {"start": 1278.08, "end": 1278.44, "word": " بيكون", "probability": 0.9108072916666666}, {"start": 1278.44, "end": 1278.9, "word": " مكتوب", 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عندنا", "probability": 0.713134765625}, {"start": 1284.76, "end": 1285.9, "word": " خمسين", "probability": 0.989501953125}, {"start": 1285.9, "end": 1287.04, "word": " اما", "probability": 0.740478515625}, {"start": 1287.04, "end": 1287.66, "word": " مربع", "probability": 0.9938151041666666}, {"start": 1287.66, "end": 1287.98, "word": " او", "probability": 0.9609375}, {"start": 1287.98, "end": 1288.18, "word": " اللي", "probability": 0.808349609375}, {"start": 1288.18, "end": 1288.42, "word": " هو", "probability": 0.9892578125}, {"start": 1288.42, "end": 1288.8, "word": " dash", "probability": 0.465576171875}, {"start": 1288.8, "end": 1289.22, "word": " مثلا", "probability": 0.96875}, {"start": 1289.22, "end": 1290.04, "word": " سبعتاش", "probability": 0.72552490234375}, {"start": 1290.04, "end": 1291.54, "word": " مجموعهم", "probability": 0.8603515625}, {"start": 1291.54, "end": 1291.74, "word": " ايش", "probability": 0.81787109375}, {"start": 1291.74, "end": 1293.06, "word": " بيمثل؟", "probability": 0.9123046875}, {"start": 1293.06, "end": 1293.76, "word": " ال", "probability": 0.888671875}, {"start": 1293.76, "end": 1294.18, "word": " frame", "probability": 0.95166015625}, {"start": 1294.18, "end": 1295.16, "word": " PD", "probability": 0.41064453125}, {"start": 1295.16, "end": 1296.84, "word": " تمام؟", "probability": 0.96240234375}], "temperature": 1.0}, {"id": 50, "seek": 132963, "start": 1303.61, "end": 1329.63, "text": "most commonly the mirrors bd will be less than the distance between center يعني الأكتر شيوع دايما قيمة ال IBD للمريض أقل من قيمة مين ال frame bd this will require that the lenses be decentered inward", "tokens": [1761, 12719, 264, 24238, 272, 67, 486, 312, 1570, 813, 264, 4560, 1296, 3056, 37495, 22653, 16247, 4117, 2655, 2288, 13412, 1829, 45367, 11778, 47302, 15042, 12174, 32640, 3660, 2423, 286, 33, 35, 5296, 19528, 16572, 11242, 5551, 4587, 1211, 9154, 12174, 32640, 3660, 3714, 9957, 2423, 3920, 272, 67, 341, 486, 3651, 300, 264, 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1309.89, "word": " distance", "probability": 0.943359375}, {"start": 1309.89, "end": 1310.57, "word": " between", "probability": 0.939453125}, {"start": 1310.57, "end": 1311.23, "word": " center", "probability": 0.76025390625}, {"start": 1311.23, "end": 1312.75, "word": " يعني", "probability": 0.791748046875}, {"start": 1312.75, "end": 1313.25, "word": " الأكتر", "probability": 0.974609375}, {"start": 1313.25, "end": 1313.77, "word": " شيوع", "probability": 0.9049479166666666}, {"start": 1313.77, "end": 1314.37, "word": " دايما", "probability": 0.8440755208333334}, {"start": 1314.37, "end": 1314.95, "word": " قيمة", "probability": 0.9921875}, {"start": 1314.95, "end": 1315.09, "word": " ال", "probability": 0.5458984375}, {"start": 1315.09, "end": 1315.73, "word": " IBD", "probability": 0.6142578125}, {"start": 1315.73, "end": 1316.45, "word": " للمريض", "probability": 0.9468994140625}, {"start": 1316.45, "end": 1316.99, "word": " أقل", "probability": 0.9474283854166666}, {"start": 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1328.13, "word": " be", "probability": 0.8818359375}, {"start": 1328.13, "end": 1329.01, "word": " decentered", "probability": 0.4918212890625}, {"start": 1329.01, "end": 1329.63, "word": " inward", "probability": 0.69140625}], "temperature": 1.0}, {"id": 51, "seek": 135676, "start": 1331.42, "end": 1356.76, "text": "إذا ما يكون عندنا قيمة الـ frame BD أكبر من الـ IBD أنا بدي أعمل Decentration للداخل حتى أجعل الـ optical center للعدسة بمحاذاة ال pupil center towards the center of the frame okay the amount of Decentration", "tokens": [28814, 15730, 19446, 7251, 30544, 43242, 8315, 12174, 32640, 3660, 2423, 39184, 3920, 363, 35, 5551, 4117, 26890, 9154, 2423, 39184, 40385, 35, 41850, 4724, 16254, 5551, 25957, 1211, 1346, 2207, 2405, 24976, 3215, 47283, 1211, 11331, 49975, 5551, 7435, 30241, 2423, 39184, 20674, 3056, 24976, 22488, 3794, 3660, 4724, 2304, 5016, 45636, 995, 3660, 2423, 44533, 3056, 3030, 264, 3056, 295, 264, 3920, 1392, 264, 2372, 295, 1346, 2207, 2405], "avg_logprob": 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"word": " BD", "probability": 0.981689453125}, {"start": 1380.38, "end": 1380.98, "word": " الأكبر", "probability": 0.9410807291666666}, {"start": 1380.98, "end": 1381.76, "word": " ناطس", "probability": 0.6148274739583334}, {"start": 1381.76, "end": 1381.92, "word": " ال", "probability": 0.95849609375}, {"start": 1381.92, "end": 1382.38, "word": " IBD", "probability": 0.7390950520833334}, {"start": 1382.38, "end": 1382.48, "word": " اللي", "probability": 0.963134765625}, {"start": 1382.48, "end": 1382.7, "word": " هو", "probability": 0.99609375}, {"start": 1382.7, "end": 1383.12, "word": " غالبا", "probability": 0.978759765625}, {"start": 1383.12, "end": 1383.46, "word": " بيكون", "probability": 0.7560221354166666}, {"start": 1383.46, "end": 1383.96, "word": " أصغر", "probability": 0.9661865234375}, {"start": 1383.96, "end": 1384.44, "word": " حتى", "probability": 0.830078125}, {"start": 1384.44, "end": 1384.72, "word": " تكون", "probability": 0.990966796875}, {"start": 1384.72, 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optical center وقيمة ال pupil center", "tokens": [6027, 7649, 1975, 1829, 8592, 4724, 25957, 1211, 12174, 32640, 3660, 2423, 3920, 4724, 1829, 11778, 1829, 9154, 2423, 8671, 35, 12174, 3215, 33599, 20666, 3794, 995, 45865, 8608, 2655, 3660, 2423, 7649, 43242, 8315, 6055, 1211, 9307, 3660, 3714, 20292, 50113, 15040, 24976, 558, 4032, 6055, 1211, 9307, 3660, 3714, 20292, 5296, 27842, 24976, 1411, 2423, 7649, 8032, 3215, 12610, 1975, 1829, 8592, 39896, 30544, 14407, 29876, 24976, 3215, 47283, 1211, 20328, 5016, 49429, 5296, 10721, 11331, 49975, 8717, 3794, 995, 45865, 19446, 49374, 2423, 20674, 3056, 4032, 4587, 32640, 3660, 2423, 44533, 3056], "avg_logprob": -0.24837239800641933, "compression_ratio": 1.6956521739130435, "no_speech_prob": 0.0, "words": [{"start": 1410.82, "end": 1411.16, "word": "الان", "probability": 0.77880859375}, {"start": 1411.16, "end": 1411.32, "word": " ايش", "probability": 0.69580078125}, {"start": 1411.32, "end": 1411.78, "word": " بعمل", "probability": 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"probability": 0.9025065104166666}, {"start": 1576.1, "end": 1576.3, "word": " هو", "probability": 0.6796875}, {"start": 1576.3, "end": 1576.76, "word": " حكيلي", "probability": 0.8609619140625}, {"start": 1576.76, "end": 1577.0, "word": " ان", "probability": 0.81591796875}, {"start": 1577.0, "end": 1577.54, "word": " قيمة", "probability": 0.93115234375}, {"start": 1577.54, "end": 1577.64, "word": " ال", "probability": 0.5693359375}, {"start": 1577.64, "end": 1578.0, "word": " IPD", "probability": 0.7763671875}, {"start": 1578.0, "end": 1578.48, "word": " 62", "probability": 0.8876953125}, {"start": 1578.48, "end": 1578.74, "word": " ميلي", "probability": 0.5957438151041666}, {"start": 1578.74, "end": 1579.18, "word": " متر", "probability": 0.889892578125}], "temperature": 1.0}, {"id": 60, "seek": 161857, "start": 1588.91, "end": 1618.57, "text": "بتانى شغل اعطينا قيمة الـ A dimension 48 و ال bridge 20 فهي طلع قيمة ال frame BD اللى هى قيمة ال A dimension زي قيمة ال bridge تمام مين الأن أكبر ال frame BD و لا ال I BD", "tokens": [3555, 2655, 7649, 7578, 13412, 17082, 1211, 1975, 3615, 9566, 1829, 8315, 12174, 32640, 3660, 2423, 39184, 316, 10139, 11174, 4032, 2423, 7283, 945, 6156, 3224, 1829, 23032, 1211, 3615, 12174, 32640, 3660, 2423, 3920, 363, 35, 13672, 7578, 8032, 7578, 12174, 32640, 3660, 2423, 316, 10139, 30767, 1829, 12174, 32640, 3660, 2423, 7283, 46811, 10943, 3714, 9957, 16247, 1863, 5551, 4117, 26890, 2423, 3920, 363, 35, 4032, 20193, 2423, 286, 363, 35], "avg_logprob": -0.33065878660292236, "compression_ratio": 1.5696202531645569, "no_speech_prob": 0.0, "words": [{"start": 1588.91, "end": 1589.29, "word": "بتانى", "probability": 0.573211669921875}, {"start": 1589.29, "end": 1589.53, "word": " شغل", "probability": 0.931640625}, {"start": 1589.53, "end": 1589.93, "word": " اعطينا", "probability": 0.661767578125}, {"start": 1589.93, "end": 1590.51, "word": " قيمة", "probability": 0.9755859375}, {"start": 1590.51, "end": 1590.85, "word": " الـ", 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"end": 1649.0, "text": "و هي الأكتر شيوعان اه تمام تمام هده هطلع عند القيمة هترحق قيمة ال frame BD هدى قيمة ال decentralization قيمة ال IBD 62 هده عندى ستة مليمتر", "tokens": [2407, 39896, 16247, 4117, 2655, 2288, 13412, 1829, 45367, 7649, 1975, 3224, 46811, 10943, 46811, 10943, 8032, 3215, 3224, 8032, 9566, 1211, 3615, 43242, 25062, 32640, 3660, 8032, 2655, 2288, 5016, 4587, 12174, 32640, 3660, 2423, 3920, 363, 35, 8032, 3215, 7578, 12174, 32640, 3660, 2423, 26515, 2144, 12174, 32640, 3660, 2423, 40385, 35, 24536, 8032, 3215, 3224, 43242, 7578, 8608, 2655, 3660, 3714, 20292, 2304, 2655, 2288], "avg_logprob": -0.4243659282076186, "compression_ratio": 1.4635761589403973, "no_speech_prob": 0.0, "words": [{"start": 1620.66, "end": 1620.88, "word": "و", "probability": 0.9228515625}, {"start": 1620.88, "end": 1621.04, "word": " هي", "probability": 0.50244140625}, {"start": 1621.04, "end": 1621.48, "word": " الأكتر", "probability": 0.84307861328125}, {"start": 1621.48, "end": 1622.16, 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"end": 1627.18, "word": " BD", "probability": 0.604736328125}, {"start": 1627.18, "end": 1628.96, "word": " هدى", "probability": 0.6927083333333334}, {"start": 1628.96, "end": 1629.26, "word": " قيمة", "probability": 0.9959309895833334}, {"start": 1629.26, "end": 1629.4, "word": " ال", "probability": 0.98828125}, {"start": 1629.4, "end": 1630.12, "word": " decentralization", "probability": 0.522705078125}, {"start": 1630.12, "end": 1630.38, "word": " قيمة", "probability": 0.6964518229166666}, {"start": 1630.38, "end": 1630.5, "word": " ال", "probability": 0.37841796875}, {"start": 1630.5, "end": 1631.2, "word": " IBD", "probability": 0.81396484375}, {"start": 1631.2, "end": 1639.14, "word": " 62", "probability": 0.35009765625}, {"start": 1639.14, "end": 1647.34, "word": " هده", "probability": 0.5396321614583334}, {"start": 1647.34, "end": 1647.66, "word": " عندى", "probability": 0.5244140625}, {"start": 1647.66, "end": 1648.38, "word": " ستة", "probability": 0.78857421875}, {"start": 1648.38, "end": 1649.0, "word": " مليمتر", "probability": 0.80625}], "temperature": 1.0}, {"id": 62, "seek": 167415, "start": 1649.63, "end": 1674.15, "text": "الستة هي هتكون مقسمة على العين تاني ال right و ال left هقسمها على اتنين و بما ان قيمة ال film BD أكبر من قيمة ال IPD فهيكون التلاتة للداخل inward تمام 100% okay", "tokens": [6027, 14851, 3660, 39896, 8032, 2655, 30544, 3714, 4587, 38251, 3660, 15844, 18863, 9957, 6055, 7649, 1829, 2423, 558, 4032, 2423, 1411, 8032, 4587, 38251, 11296, 15844, 1975, 2655, 1863, 9957, 4032, 4724, 15042, 16472, 12174, 32640, 3660, 2423, 2007, 363, 35, 5551, 4117, 26890, 9154, 12174, 32640, 3660, 2423, 8671, 35, 6156, 3224, 1829, 30544, 16712, 1211, 9307, 3660, 24976, 3215, 47283, 1211, 29876, 46811, 10943, 2319, 4, 1392], "avg_logprob": -0.292693661971831, "compression_ratio": 1.4245810055865922, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1649.63, "end": 1650.11, "word": "الستة", "probability": 0.6149088541666666}, {"start": 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1652.71, "end": 1652.83, "word": " على", "probability": 0.66064453125}, {"start": 1652.83, "end": 1653.27, "word": " اتنين", "probability": 0.85888671875}, {"start": 1653.27, "end": 1661.59, "word": " و", "probability": 0.619140625}, {"start": 1661.59, "end": 1661.83, "word": " بما", "probability": 0.84521484375}, {"start": 1661.83, "end": 1661.97, "word": " ان", "probability": 0.5244140625}, {"start": 1661.97, "end": 1662.37, "word": " قيمة", "probability": 0.8087565104166666}, {"start": 1662.37, "end": 1662.49, "word": " ال", "probability": 0.7509765625}, {"start": 1662.49, "end": 1662.71, "word": " film", "probability": 0.83837890625}, {"start": 1662.71, "end": 1663.07, "word": " BD", "probability": 0.54791259765625}, {"start": 1663.07, "end": 1663.43, "word": " أكبر", "probability": 0.84521484375}, {"start": 1663.43, "end": 1663.55, "word": " من", "probability": 0.943359375}, {"start": 1663.55, "end": 1663.85, "word": " قيمة", "probability": 0.98876953125}, {"start": 1663.85, 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mm in or inward طيب نحل السؤال هذا If a patient has a BD of 64 mm", "tokens": [3224, 24192, 12174, 32640, 3660, 2423, 39184, 1346, 2207, 2405, 5296, 28820, 6225, 9957, 407, 337, 264, 1365, 264, 1346, 2207, 2405, 2978, 680, 6765, 307, 805, 11169, 294, 420, 29876, 23032, 1829, 3555, 8717, 5016, 1211, 21136, 33604, 6027, 23758, 759, 257, 4537, 575, 257, 363, 35, 295, 12145, 11169], "avg_logprob": -0.2956730666068884, "compression_ratio": 1.1761006289308176, "no_speech_prob": 0.0, "words": [{"start": 1679.99, "end": 1680.29, "word": "هذه", "probability": 0.826416015625}, {"start": 1680.29, "end": 1680.77, "word": " قيمة", "probability": 0.9869791666666666}, {"start": 1680.77, "end": 1680.95, "word": " الـ", "probability": 0.811279296875}, {"start": 1680.95, "end": 1681.61, "word": " Decentration", "probability": 0.7986653645833334}, {"start": 1681.61, "end": 1682.07, "word": " لكل", "probability": 0.96533203125}, {"start": 1682.07, "end": 1682.57, "word": " عين", "probability": 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"end": 2096.8, "text": "بينوكيلر بي دي كان عنده قيمته اربعة و ستين ملي ميتر We may have a right monocular BD of thirty one اذا للعين اليمين كان جداش واحد و تلاتين And a left monocular BD of thirty three اما بالنسبة للـ left eye، ثirty three اذا هنا على طول ايش بعرف؟ انه عنده asymmetrical a clinical fissure", "tokens": [3555, 9957, 2407, 4117, 26895, 2288, 4724, 1829, 11778, 1829, 25961, 43242, 3224, 12174, 32640, 47395, 1975, 25513, 27884, 4032, 8608, 2655, 9957, 3714, 20292, 3714, 36081, 2288, 492, 815, 362, 257, 558, 1108, 905, 1040, 363, 35, 295, 11790, 472, 1975, 15730, 24976, 3615, 9957, 2423, 32640, 9957, 25961, 10874, 3215, 33599, 36764, 24401, 4032, 6055, 1211, 9307, 9957, 400, 257, 1411, 1108, 905, 1040, 363, 35, 295, 11790, 1045, 1975, 15042, 20666, 1863, 35457, 3660, 24976, 39184, 1411, 3313, 12399, 38637, 347, 874, 1045, 1975, 15730, 34105, 15844, 23032, 12610, 1975, 1829, 8592, 45030, 28480, 22807, 16472, 3224, 43242, 3224, 37277, 32283, 257, 9115, 283, 891, 540], 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0.88623046875}, {"start": 2092.22, "end": 2092.44, "word": " طول", "probability": 0.974853515625}, {"start": 2092.44, "end": 2092.64, "word": " ايش", "probability": 0.8419596354166666}, {"start": 2092.64, "end": 2093.34, "word": " بعرف؟", "probability": 0.7518717447916666}, {"start": 2093.34, "end": 2093.64, "word": " انه", "probability": 0.921875}, {"start": 2093.64, "end": 2093.98, "word": " عنده", "probability": 0.98828125}, {"start": 2093.98, "end": 2094.98, "word": " asymmetrical", "probability": 0.6546630859375}, {"start": 2094.98, "end": 2095.62, "word": " a", "probability": 0.235107421875}, {"start": 2095.62, "end": 2096.1, "word": " clinical", "probability": 0.8291015625}, {"start": 2096.1, "end": 2096.8, "word": " fissure", "probability": 0.8694661458333334}], "temperature": 1.0}, {"id": 76, "seek": 211931, "start": 2098.73, "end": 2119.31, "text": "Okay this difference between left and right PD is considering انه بيعتبر the asymmetry of facial fissures or fissures of many normal individuals", "tokens": [8297, 341, 2649, 1296, 1411, 293, 558, 10464, 307, 8079, 16472, 3224, 4724, 1829, 34268, 26890, 264, 37277, 9889, 295, 15642, 283, 891, 1303, 420, 283, 891, 1303, 295, 867, 2710, 5346], "avg_logprob": -0.2540246212121212, "compression_ratio": 1.16793893129771, "no_speech_prob": 0.0, "words": [{"start": 2098.73, "end": 2099.15, "word": "Okay", "probability": 0.1385498046875}, {"start": 2099.15, "end": 2104.13, "word": " this", "probability": 0.349609375}, {"start": 2104.13, "end": 2105.07, "word": " difference", "probability": 0.8564453125}, {"start": 2105.07, "end": 2106.21, "word": " between", "probability": 0.9228515625}, {"start": 2106.21, "end": 2106.83, "word": " left", "probability": 0.86279296875}, {"start": 2106.83, "end": 2107.17, "word": " and", "probability": 0.91259765625}, {"start": 2107.17, "end": 2107.51, "word": " right", "probability": 0.9091796875}, {"start": 2107.51, "end": 2107.91, "word": " PD", "probability": 0.595703125}, {"start": 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\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/h6NcAPX9rCo_raw.json b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/h6NcAPX9rCo_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..7785b60a99e354bdf092839ea08e3cd954e78a66
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/h6NcAPX9rCo_raw.json
@@ -0,0 +1 @@
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0.6307373046875}, {"start": 151.89, "end": 152.13, "word": " three", "probability": 0.83740234375}, {"start": 152.13, "end": 152.57, "word": " spots", "probability": 0.9267578125}, {"start": 152.57, "end": 152.75, "word": " زي", "probability": 0.9267578125}, {"start": 152.75, "end": 152.85, "word": " ما", "probability": 0.9462890625}, {"start": 152.85, "end": 152.99, "word": " هو", "probability": 0.96728515625}, {"start": 152.99, "end": 153.35, "word": " موجود", "probability": 0.9811197916666666}, {"start": 153.35, "end": 153.69, "word": " هان", "probability": 0.6376953125}], "temperature": 1.0}, {"id": 6, "seek": 16976, "start": 157.14, "end": 169.76, "text": "و .. و الـ spherical cylindrical lenses the marking should be according to the axis specified in the prescription يعني في عدسات ال spherical cylinder ال marking لازم يكون حسب ال axis اللي موجود بالوصفة بتاعة المريض", "tokens": [2407, 4386, 4032, 2423, 39184, 37300, 28044, 15888, 18059, 264, 25482, 820, 312, 4650, 281, 264, 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"word": " the", "probability": 0.476806640625}, {"start": 159.68, "end": 159.98, "word": " marking", "probability": 0.95361328125}, {"start": 159.98, "end": 160.22, "word": " should", "probability": 0.982421875}, {"start": 160.22, "end": 160.38, "word": " be", "probability": 0.966796875}, {"start": 160.38, "end": 160.84, "word": " according", "probability": 0.94384765625}, {"start": 160.84, "end": 161.14, "word": " to", "probability": 0.98828125}, {"start": 161.14, "end": 161.3, "word": " the", "probability": 0.923828125}, {"start": 161.3, "end": 161.58, "word": " axis", "probability": 0.79248046875}, {"start": 161.58, "end": 162.16, "word": " specified", "probability": 0.95068359375}, {"start": 162.16, "end": 162.48, "word": " in", "probability": 0.9736328125}, {"start": 162.48, "end": 162.6, "word": " the", "probability": 0.90087890625}, {"start": 162.6, "end": 163.16, "word": " prescription", "probability": 0.95751953125}, {"start": 163.16, "end": 163.88, "word": " يعني", 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{"start": 195.34, "end": 196.64, "word": " النقطة", "probability": 0.9407552083333334}, {"start": 196.64, "end": 196.74, "word": " اللي", "probability": 0.65478515625}, {"start": 196.74, "end": 196.8, "word": " في", "probability": 0.93359375}, {"start": 196.8, "end": 197.38, "word": " المنتصف", "probability": 0.9119873046875}, {"start": 197.38, "end": 197.62, "word": " هي", "probability": 0.95556640625}, {"start": 197.62, "end": 197.7, "word": " ال", "probability": 0.93115234375}, {"start": 197.7, "end": 197.94, "word": " optical", "probability": 0.94091796875}, {"start": 197.94, "end": 198.36, "word": " center", "probability": 0.71923828125}], "temperature": 1.0}, {"id": 8, "seek": 22739, "start": 198.89, "end": 227.39, "text": "النقطتين اللي على الأطراف هم ال reference point لما نيجي بدنا نعلم هاي عدسة معمولة اللي هي marking بس انه يعني بمعنى انه بدنا نعمل ال diamond لازم السهم يكون باتجاه ال laws يعني مثلا اذا كانت right راح نفتر هيك و رح يكون الاتجاه", "tokens": [6027, 1863, 47432, 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"هكسبها على اتنين هتديني اربعة وتلاتين اربعة تلاتين من هنا لكن في عندنا molecular beauty اللي هي asymmetrical في ال face لل patient فعمل اربعة تلاتين ناقص تلاتين بال right هتديني", "tokens": [3224, 4117, 35457, 11296, 15844, 1975, 2655, 1863, 9957, 8032, 2655, 3215, 9957, 1829, 1975, 25513, 27884, 34683, 1211, 9307, 9957, 1975, 25513, 27884, 6055, 1211, 9307, 9957, 9154, 34105, 5296, 4117, 1863, 8978, 43242, 8315, 19046, 6643, 13672, 1829, 39896, 37277, 32283, 8978, 2423, 1851, 24976, 4537, 6156, 25957, 1211, 1975, 25513, 27884, 6055, 1211, 9307, 9957, 8717, 995, 4587, 9381, 6055, 1211, 9307, 9957, 20666, 558, 8032, 2655, 3215, 9957, 1829], "avg_logprob": -0.30616554859522227, "compression_ratio": 1.6826347305389222, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 820.71, "end": 821.75, "word": "هكسبها", "probability": 0.432342529296875}, {"start": 821.75, "end": 821.91, "word": " على", "probability": 0.84912109375}, {"start": 821.91, "end": 822.33, "word": " اتنين", 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"text": "عندي ال optical center لل lens مطابق لل center of pupil لل passion فهنا كان عندي ماكانش عندي اي prismatic effect و هان حالة طبيعية و حيستطيع ال passion يشوف بافضل و أنثى برأيها ننشط الصورة التانية اللي عندي هان عندي هاي ال optical center لل lens و هاي ال center of pupil في اختلاف بينهم", "tokens": [3615, 1863, 16254, 2423, 20674, 3056, 24976, 6765, 3714, 9566, 16758, 4587, 24976, 3056, 295, 44533, 24976, 5418, 6156, 3224, 8315, 25961, 18871, 16254, 19446, 41361, 8592, 18871, 16254, 1975, 1829, 582, 34088, 1802, 4032, 8032, 7649, 11331, 6027, 3660, 23032, 21292, 3615, 10632, 4032, 11331, 1829, 14851, 9566, 40228, 2423, 5418, 7251, 8592, 38688, 4724, 31845, 11242, 1211, 4032, 14739, 12984, 7578, 4724, 2288, 10721, 1829, 11296, 8717, 1863, 8592, 9566, 31767, 13063, 3660, 16712, 7649, 10632, 13672, 1829, 18871, 16254, 8032, 7649, 18871, 16254, 8032, 47302, 2423, 20674, 3056, 24976, 6765, 4032, 8032, 47302, 2423, 3056, 295, 44533, 8978, 1975, 46456, 15040, 5172, 49374, 16095], 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"probability": 0.90478515625}, {"start": 1571.55, "end": 1572.07, "word": " reference", "probability": 0.900390625}, {"start": 1572.07, "end": 1572.45, "word": " point", "probability": 0.96435546875}, {"start": 1572.45, "end": 1573.01, "word": " height", "probability": 0.9462890625}, {"start": 1573.01, "end": 1574.03, "word": " أعطاني", "probability": 0.96474609375}, {"start": 1574.03, "end": 1574.69, "word": " قيمة", "probability": 0.9871419270833334}, {"start": 1574.69, "end": 1575.07, "word": " ال", "probability": 0.974609375}, {"start": 1575.07, "end": 1577.03, "word": " ال", "probability": 0.452392578125}, {"start": 1577.03, "end": 1577.17, "word": " b", "probability": 0.72021484375}, {"start": 1577.17, "end": 1577.75, "word": " dimension", "probability": 0.96484375}, {"start": 1577.75, "end": 1579.01, "word": " و", "probability": 0.8232421875}, {"start": 1579.01, "end": 1579.37, "word": " بده", "probability": 0.6243896484375}, {"start": 1579.37, "end": 1579.53, "word": " ال", "probability": 0.98193359375}, {"start": 1579.53, "end": 1579.89, "word": " vertical", "probability": 0.9326171875}, {"start": 1579.89, "end": 1580.93, "word": " decentration", "probability": 0.58819580078125}, {"start": 1580.93, "end": 1581.55, "word": " تمام", "probability": 0.929931640625}, {"start": 1581.55, "end": 1582.07, "word": " هنكتب", "probability": 0.908984375}, {"start": 1582.07, "end": 1582.19, "word": " ال", "probability": 0.62646484375}, {"start": 1582.19, "end": 1582.47, "word": " vertical", "probability": 0.93505859375}, {"start": 1582.47, "end": 1583.25, "word": " decentration", "probability": 0.88037109375}], "temperature": 1.0}, {"id": 61, "seek": 161818, "start": 1589.0, "end": 1618.18, "text": "تمام نكتب القانون عند المجر reference point type ماقص ال B على 2 نيجي نطبق عطيني قيمة المجر reference point 30 ماقص قيمة ال B عطينيها 45 بس أنا بدي نص المسافة فهقسمها على 2 اربعة و خمسين عن طول تمام", "tokens": [39237, 10943, 8717, 4117, 2655, 3555, 25062, 7649, 11536, 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"word": " تمام", "probability": 0.973876953125}], "temperature": 1.0}, {"id": 62, "seek": 164656, "start": 1618.72, "end": 1646.56, "text": "تلاتين القيمة هتعطيني سبعة و عشرين فهتكون القيمة تقريبا تلاتة ملي متر نيجي نلاحظ هان طلعت القيمة فلازم أطلع كمان ال concentration up و لا down نيجي هنلاحظ قيمة ال major reference point تلاتين قيمة ال b ع اتنين سبعة و عشرين فقيمة ال major reference point اعلى فهتكون ال concentration up", "tokens": [2655, 1211, 9307, 9957, 25062, 32640, 3660, 8032, 2655, 3615, 9566, 1829, 22653, 8608, 3555, 27884, 4032, 6225, 46309, 9957, 6156, 3224, 2655, 30544, 25062, 32640, 3660, 6055, 4587, 16572, 3555, 995, 6055, 1211, 9307, 3660, 3714, 20292, 44650, 2288, 8717, 1829, 7435, 1829, 8717, 15040, 5016, 19913, 8032, 7649, 23032, 1211, 34268, 25062, 32640, 3660, 6156, 1211, 31377, 2304, 5551, 9566, 1211, 3615, 9122, 2304, 7649, 2423, 9856, 493, 4032, 20193, 760, 8717, 1829, 7435, 1829, 8032, 1863, 15040, 5016, 19913, 12174, 32640, 3660, 2423, 2563, 6408, 935, 6055, 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{"start": 2138.05, "end": 2138.05, "word": " فضلا", "probability": 0.95166015625}, {"start": 2138.05, "end": 2138.05, "word": " فضلا", "probability": 0.9571940104166666}, {"start": 2138.05, "end": 2138.79, "word": " فضلا", "probability": 0.9602864583333334}, {"start": 2138.79, "end": 2144.27, "word": " فضلا", "probability": 0.9627278645833334}], "temperature": 1.0}, {"id": 81, "seek": 216744, "start": 2151.76, "end": 2167.44, "text": "احنا أخدنا من قبل في ال .. ال geometric أنه ال .. ال horizontal بيحب تقريبا يعني بيتحمل حدود من عشرين لخمسة و عشرين تقريبا أما ال vertical بيتحمل تقريبا من تلاتة لاربع", "tokens": [39319, 8315, 5551, 9778, 3215, 8315, 9154, 12174, 36150, 8978, 2423, 4386, 2423, 33246, 14739, 3224, 2423, 4386, 2423, 12750, 4724, 1829, 5016, 3555, 6055, 4587, 16572, 3555, 995, 37495, 22653, 4724, 36081, 35571, 1211, 11331, 3215, 23328, 9154, 6225, 46309, 9957, 5296, 9778, 2304, 3794, 3660, 4032, 6225, 46309, 9957, 6055, 4587, 16572, 3555, 995, 5551, 15042, 2423, 9429, 4724, 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"word": " المثمرة", "probability": 0.907470703125}], "temperature": 1.0}, {"id": 93, "seek": 245183, "start": 2439.87, "end": 2451.83, "text": "و ان شاء الله ننتظر الأسبوع القادم مع مجموعتين او مجموعة جديدة ان شاء الله لكي اللي هو يستمر عرض ال oral presentation ان شاء الله يعطيكم العافية", "tokens": [2407, 16472, 13412, 16606, 21984, 8717, 29399, 19913, 2288, 16247, 35457, 45367, 25062, 18513, 2304, 20449, 3714, 7435, 2304, 2407, 34268, 9957, 1975, 2407, 3714, 7435, 2304, 2407, 27884, 10874, 16254, 41891, 16472, 13412, 16606, 21984, 5296, 4117, 1829, 13672, 1829, 31439, 7251, 14851, 29973, 6225, 43042, 2423, 19338, 5860, 16472, 13412, 16606, 21984, 37495, 9566, 1829, 24793, 18863, 31845, 10632], "avg_logprob": -0.12600806091100938, "compression_ratio": 1.6013071895424837, "no_speech_prob": 7.152557373046875e-07, "words": [{"start": 2439.87, "end": 2440.17, "word": "و", "probability": 0.888671875}, {"start": 2440.17, "end": 2440.43, "word": " ان", "probability": 0.55029296875}, {"start": 2440.43, "end": 2440.63, "word": " شاء", "probability": 0.991943359375}, {"start": 2440.63, "end": 2440.87, "word": " الله", "probability": 0.94580078125}, {"start": 2440.87, "end": 2441.57, "word": " ننتظر", "probability": 0.918701171875}, {"start": 2441.57, "end": 2442.13, "word": " الأسبوع", "probability": 0.819580078125}, {"start": 2442.13, "end": 2442.63, "word": " القادم", "probability": 0.9939778645833334}, {"start": 2442.63, "end": 2442.75, "word": " مع", "probability": 0.984375}, {"start": 2442.75, "end": 2443.51, "word": " مجموعتين", "probability": 0.8928629557291666}, {"start": 2443.51, "end": 2444.03, "word": " او", "probability": 0.796875}, {"start": 2444.03, "end": 2444.49, "word": " مجموعة", "probability": 0.93330078125}, {"start": 2444.49, "end": 2445.07, "word": " جديدة", "probability": 0.9879557291666666}, {"start": 2445.07, "end": 2445.27, "word": " ان", "probability": 0.76416015625}, {"start": 2445.27, "end": 2445.51, "word": " شاء", "probability": 0.99658203125}, {"start": 2445.51, "end": 2445.87, "word": " الله", "probability": 0.94091796875}, {"start": 2445.87, "end": 2446.79, "word": " لكي", "probability": 0.9235026041666666}, {"start": 2446.79, "end": 2446.99, "word": " اللي", "probability": 0.763671875}, {"start": 2446.99, "end": 2447.25, "word": " هو", "probability": 0.97998046875}, {"start": 2447.25, "end": 2447.95, "word": " يستمر", "probability": 0.9903971354166666}, {"start": 2447.95, "end": 2448.29, "word": " عرض", "probability": 0.989013671875}, {"start": 2448.29, "end": 2448.43, "word": " ال", "probability": 0.9677734375}, {"start": 2448.43, "end": 2448.69, "word": " oral", "probability": 0.57763671875}, {"start": 2448.69, "end": 2449.75, "word": " presentation", "probability": 0.7548828125}, {"start": 2449.75, "end": 2450.37, "word": " ان", "probability": 0.8701171875}, {"start": 2450.37, "end": 2450.57, "word": " شاء", "probability": 0.99365234375}, {"start": 2450.57, "end": 2450.75, "word": " الله", "probability": 0.95947265625}, {"start": 2450.75, "end": 2451.37, "word": " يعطيكم", "probability": 0.8604736328125}, {"start": 2451.37, "end": 2451.83, "word": " العافية", "probability": 0.81884765625}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2452.1433125, "duration_after_vad": 2296.8524999999927}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/ioTH_gvn-7g_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/ioTH_gvn-7g_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..939088c8c9f7f2f9f891dca93c54023b1329a0ad
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/ioTH_gvn-7g_postprocess.srt
@@ -0,0 +1,1996 @@
+1
+00:00:21,020 --> 00:00:24,500
+بسم الله الرحمن الرحيم السلام عليكم ورحمة الله
+
+2
+00:00:24,500 --> 00:00:30,800
+وبركاته نكمل في المحاضرة هذه انه how to measure
+
+3
+00:00:30,800 --> 00:00:36,780
+lens power في المحاضرة السابقة اتناولنا موضوع ال
+
+4
+00:00:36,780 --> 00:00:41,520
+neutralization Geneva Clock اليوم هنبدأ بال lens
+
+5
+00:00:41,520 --> 00:00:42,100
+meter
+
+6
+00:00:46,510 --> 00:00:50,690
+Commercially Known Commercially بمعنى ال brand
+
+7
+00:00:50,690 --> 00:00:57,050
+name يعني الإسم التجاري له Known as a lensometer
+
+8
+00:00:57,050 --> 00:01:03,490
+لينزوميتر من اسمه مدام ميتر إذا هو بقيس ال focal
+
+9
+00:01:03,490 --> 00:01:09,210
+length لمن؟ للعدسة تمام فوسيميتر أيضا بقيس ال
+
+10
+00:01:09,210 --> 00:01:12,870
+focal length للعدسة أو يسمى
+
+11
+00:01:16,140 --> 00:01:22,020
+Vertometer بمعنى Verto power يعني بقيس قوة ايه
+
+12
+00:01:22,020 --> 00:01:30,860
+العدسة تمام يعني ممكن نقول عنها Verto
+
+13
+00:01:30,860 --> 00:01:35,640
+power انه
+
+14
+00:01:35,640 --> 00:01:39,740
+major لل
+
+15
+00:01:39,740 --> 00:01:43,480
+power of
+
+16
+00:01:52,630 --> 00:02:00,560
+الأن كـ definition للـ lensmeterIt's useful to
+
+17
+00:02:00,560 --> 00:02:06,360
+measure vertex power of the spectacle or contact
+
+18
+00:02:06,360 --> 00:02:11,220
+lens اذا هو بيجيس قداش قوة العدسة او العدسة
+
+19
+00:02:11,220 --> 00:02:17,160
+اللاصقة طبعا احنا هنسميناها used in بمعنى الهدف
+
+20
+00:02:17,160 --> 00:02:23,740
+منه او استخدامهقياس قوة النضارات والعدسات اللاصقة
+
+21
+00:02:23,740 --> 00:02:28,900
+lying out lenses
+
+22
+00:02:34,810 --> 00:02:39,770
+مية في المية يعني بيحدد الاتجاه الصحيح بتاع العدسة
+
+23
+00:02:39,770 --> 00:02:46,330
+من حيث ال optical center للعدسة بالاضافة انه جديش
+
+24
+00:02:46,330 --> 00:02:50,710
+قيمة ال access لهذه النضارة يعني الآن يا جماعة
+
+25
+00:02:50,710 --> 00:02:55,130
+الفرق بين النضارة و ال uncut lens النضارة بيكون ال
+
+26
+00:02:55,130 --> 00:03:00,770
+access محدد يعني نفترض مثلاسين من الناس عنده axis
+
+27
+00:03:00,770 --> 00:03:05,390
+تلاتين صاد مثلا اربعين هتلاقي هذا ال axis ايه
+
+28
+00:03:05,390 --> 00:03:08,570
+شماله؟ محدد بالنضارة
+
+29
+00:03:13,170 --> 00:03:17,290
+بكون ال axis ايش غير محدد زي ما انت بدك ال axis
+
+30
+00:03:17,290 --> 00:03:21,650
+ممكن تحدديه وين على العدسة استوعبين الفكرة؟ يعني
+
+31
+00:03:21,650 --> 00:03:27,310
+الآن انا بدي مثلا axis 40 بروح بحط على المنقلة 40
+
+32
+00:03:27,310 --> 00:03:31,690
+ع جهاز ال lensmeter وبحدد العدسة ال uncut lens على
+
+33
+00:03:31,690 --> 00:03:35,610
+ال 40 لكن في النضارة العادية زي اللي لبساها مثلا
+
+34
+00:03:35,610 --> 00:03:39,970
+اللطيفة لأ هي موجود عليها axis بناء على مين ال
+
+35
+00:03:39,970 --> 00:03:42,330
+refractive error اللي كان عندها
+
+36
+00:03:45,940 --> 00:03:52,060
+Lens meters may work manually or automatically،
+
+37
+00:03:52,060 --> 00:03:57,360
+إذا يا إما يكون يدوي، يا إما بيكون ايه؟ Automated،
+
+38
+00:03:57,360 --> 00:04:03,280
+طبعا أيهما أدق؟ الـ Automated، تمام؟ لكن بشرط إنه
+
+39
+00:04:03,280 --> 00:04:05,740
+نعمله حاجة بنسميها calibration
+
+40
+00:04:09,090 --> 00:04:14,210
+شو يعني calibration؟ معايرة يعني لازم الجهاز يتم
+
+41
+00:04:14,210 --> 00:04:18,630
+له adjustment او calibration معايرة كل فترة من
+
+42
+00:04:18,630 --> 00:04:23,710
+الزمن okay الآن
+
+43
+00:04:23,710 --> 00:04:29,390
+الجهاز ال lens meter يما بيكون manually يدوي اما
+
+44
+00:04:29,390 --> 00:04:37,650
+بيكون dot او بيكون cross يعني بيكون dot او بيكون
+
+45
+00:04:37,650 --> 00:04:43,730
+crossOkay ايش الفرق ما بين ال dot و ما بين ال
+
+46
+00:04:43,730 --> 00:04:51,330
+cross ال cross يعتبر ايه ال British system ال dot
+
+47
+00:04:51,330 --> 00:04:56,770
+يعتبر American system okay يعني انا جايبلكم صورة
+
+48
+00:04:56,770 --> 00:05:01,570
+على الكلام هذا الان هاي مثلا العدسة ال spherical
+
+49
+00:05:01,570 --> 00:05:05,410
+lens ايش شايفينها عبارة شايفين يا جماعة هاي ال dot
+
+50
+00:05:06,680 --> 00:05:10,580
+أذا الـ spherical lenses بتكون زي اللي هو الـ dot
+
+51
+00:05:10,580 --> 00:05:17,200
+هذا بنسميه ايه؟ dot lens meter طيب لو كانت العدسة
+
+52
+00:05:17,200 --> 00:05:23,750
+ترك lenses هتلاقي انه بالشكل هذا ال shapeأما
+
+53
+00:05:23,750 --> 00:05:29,790
+بالنسبة لها عندنا ال across بيكون ال lenses كله
+
+54
+00:05:29,790 --> 00:05:33,470
+نفس الوضوح بينما ال torque lens بيكون خط واضح
+
+55
+00:05:33,470 --> 00:05:37,930
+والتاني اشماله غير واضح يعني اكسس اللي هو clear
+
+56
+00:05:37,930 --> 00:05:44,690
+والاخر بيكون ايه unclear طيب مين الأدق هل ال cross
+
+57
+00:05:44,690 --> 00:05:49,130
+ولا ال dot الأكتر
+
+58
+00:05:49,130 --> 00:05:55,740
+دقة هو لل dotهذه مهمة المعلومة الأكتر دقة هو ال
+
+59
+00:05:55,740 --> 00:05:59,080
+dot ولكن الأسهل ال cross
+
+60
+00:06:06,440 --> 00:06:12,480
+The most commonly used lens meters are manual، إذا
+
+61
+00:06:12,480 --> 00:06:18,340
+المعظم في المراكز، في العيادات الخاصة، في مستشفيات
+
+62
+00:06:18,340 --> 00:06:22,500
+الحكومية، بنستخدم ال manual، ليش؟ لأن ال course
+
+63
+00:06:22,500 --> 00:06:28,990
+بتاعه أرخص من مين؟ من ال automatedand use a cross
+
+64
+00:06:28,990 --> 00:06:34,150
+line target وبنستخدم اللي هو النظام ايه ال British
+
+65
+00:06:34,150 --> 00:06:39,890
+system او ال cross target يعني اللي هو يعتبر اسهل
+
+66
+00:06:39,890 --> 00:06:49,030
+و اقل لكن ايه دقة من ال dot تمام
+
+67
+00:06:49,030 --> 00:06:55,690
+هذه المياراتform in manual fosimeter او lensmeter
+
+68
+00:06:55,690 --> 00:07:00,290
+او vertometer عندنا spherical lenses توريك لينزز
+
+69
+00:07:00,290 --> 00:07:03,630
+هذي في حالة الضب و عندنا في حالة ال across ال
+
+70
+00:07:03,630 --> 00:07:11,110
+spherical lenses و التوريك لينزز طيب عندنا ال
+
+71
+00:07:11,110 --> 00:07:16,110
+partments او ال parts of lensmeter شو اجزاء جهاز
+
+72
+00:07:16,110 --> 00:07:20,420
+ال lensmeterيعني الآن أنا أمام جهاز الـ Lensmeter
+
+73
+00:07:20,420 --> 00:07:25,660
+بكرا يما بدخل اللي هو معمل إعداد النضارات إيش
+
+74
+00:07:25,660 --> 00:07:32,940
+أجزاء الجهاز؟ بداية عندنا الـ Eyepiece مختلفة من
+
+75
+00:07:32,940 --> 00:07:36,520
+سين لصاد صح ولا لأ؟ أنا بدي أعمل لها إيه؟
+
+76
+00:07:36,520 --> 00:07:40,360
+Adjustment أو بدي أعمل لها أن تكون Clear Image
+
+77
+00:07:40,360 --> 00:07:46,230
+يعني تكون واضحة بالنسبة ليفي عندنا إبرزم
+
+78
+00:07:46,230 --> 00:07:53,090
+compensating device أداة بتعوض الإبرزم عشان تحدد
+
+79
+00:07:53,090 --> 00:07:58,050
+قيمة الإبرزم إذا كانت موجودة في داخل من النضارة
+
+80
+00:07:58,050 --> 00:08:01,010
+إذا أداة لتعويض الإبرزم
+
+81
+00:08:03,050 --> 00:08:08,630
+الـ Spotting Device اللي هي أداة لتعليم العدسة،
+
+82
+00:08:08,630 --> 00:08:13,890
+الآن مثلا انا حددت الـ Optical Center للعدسة طيب،
+
+83
+00:08:13,890 --> 00:08:17,890
+بدأ حافظ على التعليم هذا، إيش بروح؟ من خلال الـ
+
+84
+00:08:17,890 --> 00:08:21,110
+Marker اللي موجود في جهاز الـ Lens Meter، بضغط
+
+85
+00:08:21,110 --> 00:08:26,370
+عليه، تمام؟ فهذه الأداة هي تعتبر أداة لتعليم إيش؟
+
+86
+00:08:26,370 --> 00:08:33,190
+العدسةأو مثلا في عندي عدسة cylinder lens وحددت ال
+
+87
+00:08:33,190 --> 00:08:37,490
+axis مثلا تلاتين الان انا بدي احدد يعني فقط بدي
+
+88
+00:08:37,490 --> 00:08:40,550
+على ال axis تلاتين فبروح ال line ايش يعني ال
+
+89
+00:08:40,550 --> 00:08:46,210
+marker بيحددلي على التلاتين okay lens holder
+
+90
+00:08:46,210 --> 00:08:51,290
+الأداء اللي بتمسك العدسة او بتثبت العدسة يعني لو
+
+91
+00:08:51,290 --> 00:08:56,620
+انا مثلا كانت العدسة متحركة هتلاقي انه ايشإن ممكن
+
+92
+00:08:56,620 --> 00:08:59,680
+مربى أعلمها على التسعين و ممكن أعلمها على التمانين
+
+93
+00:08:59,680 --> 00:09:03,600
+و ممكن على السبعين فلازم العدسة من حد ما أحطها على
+
+94
+00:09:03,600 --> 00:09:10,580
+الجهاز تظل ثابتة في عندنا ال access wheel وهذه
+
+95
+00:09:10,580 --> 00:09:15,280
+النقطة مهمة كتير في حالة النضارة ال access wheel
+
+96
+00:09:15,280 --> 00:09:20,400
+إيه شماله؟ بيكون متغيرلأن اتفقنا ان كل نضارة بيكون
+
+97
+00:09:20,400 --> 00:09:24,700
+لها axis مختلف عن الآخر وممكن ال right eye يكون ال
+
+98
+00:09:24,700 --> 00:09:29,360
+axis فيها مختلف ايش عن ال left eye لكن في حالة ال
+
+99
+00:09:29,360 --> 00:09:34,360
+uncut lens ال axis wheel بثبته يعني الآن انا جاتني
+
+100
+00:09:34,360 --> 00:09:44,960
+وصفة نفترض plus 4 ع minus 2اكسس تلاتين اول حاجة
+
+101
+00:09:44,960 --> 00:09:52,120
+انا عندي عدسة ايش uncut lens تمام بحط على المنقلة
+
+102
+00:09:52,120 --> 00:09:57,160
+او ال protector على اكسس جداش تلاتين وبعد ذلك يعني
+
+103
+00:09:57,160 --> 00:10:02,200
+الآن ثبتنا جداش ال protector تلاتين وبعد ذلك بوزن
+
+104
+00:10:02,200 --> 00:10:06,960
+العدسة على ال axis الخاص فيه اللي قيمته جداش
+
+105
+00:10:06,960 --> 00:10:14,170
+تلاتين طيب عندنا ال power wheelإذا والله كانت
+
+106
+00:10:14,170 --> 00:10:20,330
+العدسة sphere lens، إذا إيش هتمتلك؟ The same power
+
+107
+00:10:20,330 --> 00:10:25,990
+in all meridians طيب لو كانت العدسة Torque lens،
+
+108
+00:10:25,990 --> 00:10:29,650
+هيكون عندنا two power، في عندنا مثلا horizontal و
+
+109
+00:10:29,650 --> 00:10:34,840
+في عندنا vertical تمام؟ أو قد تكون obliqueفالان
+
+110
+00:10:34,840 --> 00:10:39,600
+انا بدي اعرف ان شاء الله كيف احدد ان وين اعلم ال
+
+111
+00:10:39,600 --> 00:10:44,860
+axis على القيمة الصغيرة ولا على القيمة الكبيرة اذا
+
+112
+00:10:44,860 --> 00:10:48,320
+عندنا ال power wheel سواء كان في ال uncut lens او
+
+113
+00:10:48,320 --> 00:10:52,340
+كان في ال spectacle lenses ايش بيكون changeable
+
+114
+00:10:52,340 --> 00:10:55,200
+اللي هو ايش ماله متغير صح ولا لأ؟
+
+115
+00:11:03,910 --> 00:11:09,090
+طيب، عندنا مفهوم ال focal point، إيش المقصود في ال
+
+116
+00:11:09,090 --> 00:11:19,690
+focal point؟ 100% ال focal point هي نقطة تجميع
+
+117
+00:11:19,690 --> 00:11:26,490
+الأشعة، الآن احنا بداية الأشعة من وين جاية؟ من ال
+
+118
+00:11:26,490 --> 00:11:32,590
+infinity، صح؟ يعني هان عندنا القيمة ما لا نهايةطيب
+
+119
+00:11:32,590 --> 00:11:36,170
+ال light rays هان يما تيجي من المالة نهاية إذا إيش
+
+120
+00:11:36,170 --> 00:11:42,090
+بتكون بررل light
+
+121
+00:11:42,090 --> 00:11:45,290
+rays
+
+122
+00:11:45,290 --> 00:11:55,670
+صح؟ الآن إيش قابلة؟ plus lens عدسة موجبة إذا الآن
+
+123
+00:11:55,670 --> 00:12:00,470
+العدسة الموجبة إيش هتعمل؟convergent للـ light rays
+
+124
+00:12:00,470 --> 00:12:04,630
+إذا كل ال light rays وانتجمع في one point اللي هي
+
+125
+00:12:04,630 --> 00:12:09,870
+سمناها focal point إذا ال focal point هي النقطة
+
+126
+00:12:09,870 --> 00:12:15,630
+التي من خلالها يتم تجميع ال light rays بعد مروره
+
+127
+00:12:15,630 --> 00:12:20,310
+بإيش؟ ب optical system بنظام بصري سواء minus أو
+
+128
+00:12:20,310 --> 00:12:27,940
+plus lens الآن الشكل الآخر أو الفيجر التانيعنا ايش
+
+129
+00:12:27,940 --> 00:12:33,440
+كانت العدسة minus lens صح وفي عنا light rays كان
+
+130
+00:12:33,440 --> 00:12:37,580
+برابل او من الماء لنهاية اذا عنا ال optical system
+
+131
+00:12:37,580 --> 00:12:40,300
+هيعمل ايه؟ divergent لل light rays
+
+132
+00:12:43,710 --> 00:12:48,330
+في مرحلة معينة بعد ذلك بيبدأ ايش؟ بيرجع رجوع في
+
+133
+00:12:48,330 --> 00:12:52,210
+عملية اللي هو تجميع ال light rays عشان هيك ايش
+
+134
+00:12:52,210 --> 00:12:57,590
+بتلاحظه؟ ان ال focal point في ال minus lens اصبح
+
+135
+00:12:57,590 --> 00:13:03,030
+وين؟ in front the lens ممتازة لكن ال focal point
+
+136
+00:13:03,030 --> 00:13:08,030
+في ال plus lens وين اصبح؟ behind the lensتمام؟
+
+137
+00:13:08,030 --> 00:13:13,710
+يعني هذا ال slide بيوضحلي ان اختلاف ال focal point
+
+138
+00:13:13,710 --> 00:13:17,670
+ما بين العدسة او ال optical system اذا كان plus او
+
+139
+00:13:17,670 --> 00:13:19,050
+اذا كان minus
+
+140
+00:13:45,370 --> 00:13:51,450
+الان فى عندنا الـ Simple Lens Meter اول ما بدأوا
+
+141
+00:13:51,450 --> 00:13:56,090
+فى فكرة الـ Lens Meter كان فى عندنا جهاز Very
+
+142
+00:13:56,090 --> 00:14:02,430
+Simple بسيط كتير نشوف مكوناته بداية عندنا الـ
+
+143
+00:14:02,430 --> 00:14:12,850
+Observer Eye هذه عبارة عن Observer Eye تمام؟
+
+144
+00:14:14,140 --> 00:14:18,960
+في عندنا أيضًا ال IBS Lenses، الآن ال IBS اللي
+
+145
+00:14:18,960 --> 00:14:23,880
+خاصة فيها مختلفة عن ال IBS اللي خاصة بـ Russia أو
+
+146
+00:14:23,880 --> 00:14:29,160
+ال IBS اللي خاصة في آية، كل شخص له IBS أخرى، تمام؟
+
+147
+00:14:29,160 --> 00:14:33,100
+وهذه بتعتمد على مين؟ على ال refractive error، يعني
+
+148
+00:14:33,100 --> 00:14:36,480
+الآن لو أنا عندي ميوب أو hypermetrop، بدي أحاول
+
+149
+00:14:36,480 --> 00:14:42,650
+أعدل مين أو أوضح الصورةهذه نقطة الـ IBIS lenses في
+
+150
+00:14:42,650 --> 00:14:47,650
+عندنا الـ IBIS graphical اللي هي عبارة عن ايش؟
+
+151
+00:14:47,650 --> 00:14:52,670
+منقلةهي لاحظين زي اللي هو المنقلة طلعوا في الصورة
+
+152
+00:14:52,670 --> 00:14:57,110
+عندكم في الكتاب هتلاقي و كأنه اللي هو lines ال
+
+153
+00:14:57,110 --> 00:15:00,290
+lines هذه بتكون في منها oblique و في منها
+
+154
+00:15:00,290 --> 00:15:04,510
+horizontal و في منها vertical و كأنه منقلة الان
+
+155
+00:15:04,510 --> 00:15:09,610
+انا يما باجي اوضح ال I piece تمام بحرك مين؟
+
+156
+00:15:09,610 --> 00:15:13,310
+المنقلة المنقلة بحركها بناء على ايش؟ ال axis
+
+157
+00:15:13,310 --> 00:15:17,640
+الصحيح او ال axis اللي انا بديهايعني الآن نفترض
+
+158
+00:15:17,640 --> 00:15:22,440
+انا وضحت الصورة عندى، انا ال axis اللى مطلوب
+
+159
+00:15:22,440 --> 00:15:28,430
+تلاتين، بروح بحط اللى هو إيشالمنقلة الطويلة هذه
+
+160
+00:15:28,430 --> 00:15:32,970
+على ال axis اللي هو تلاتين فهذه بنسميها igratical
+
+161
+00:15:32,970 --> 00:15:38,150
+اللي هو او IBS igratical اللي هي المنقلة اللي بتتم
+
+162
+00:15:38,150 --> 00:15:43,270
+توضيح ال IBS بداية وبعد ذلك بتتم اللي هو تحديد
+
+163
+00:15:43,270 --> 00:15:47,910
+قيمة ال axis السليم بناء على الوصفة اللي مطلوبة
+
+164
+00:15:47,910 --> 00:15:48,270
+منه
+
+165
+00:15:51,040 --> 00:15:55,160
+الان فى عندنا ال light rays فى عندنا ال spectacle
+
+166
+00:15:55,160 --> 00:15:59,780
+lens اللى هى قوة ال power of ال lens قوة العدسة
+
+167
+00:15:59,780 --> 00:16:07,900
+تمام بعد ذلك فى عندنا هان زى اللى هو ال scale ايش
+
+168
+00:16:07,900 --> 00:16:13,440
+ملاحظين فى صفر وفى عندنا plus وفى عندنا minus
+
+169
+00:16:13,440 --> 00:16:16,840
+هلجيت هذا بعتمد على مين ال scale؟
+
+170
+00:16:19,390 --> 00:16:22,810
+مية فى المية على قوة العدسة ال power of a lens
+
+171
+00:16:22,810 --> 00:16:27,970
+يعني الآن لما أنا بمشي العدسة minus lens تمام بدي
+
+172
+00:16:27,970 --> 00:16:32,190
+أمشي باتجاه مين ال minus او ال scale بتاعي بدي
+
+173
+00:16:32,190 --> 00:16:37,530
+يكون باتجاه ال minus لو انا مثلا عندى plus lens ال
+
+174
+00:16:37,530 --> 00:16:41,710
+scale بتاعي بدي يكون باتجاه مين ال plus طيب واحدة
+
+175
+00:16:41,710 --> 00:16:46,890
+تسألني السؤال ممكن الآن انا عندى عدسة minus lens
+
+176
+00:16:48,200 --> 00:16:53,300
+ومشيت باتجاه ال plus lens ايش هتكون الصورة 100%
+
+177
+00:16:53,300 --> 00:16:57,920
+very faint باهتة يعني الصورة مش هتكون واضحة يعني
+
+178
+00:16:57,920 --> 00:17:03,000
+انا هاكتشف ان انا ماشي بالطريق ايه الغير صحيح طيب
+
+179
+00:17:03,000 --> 00:17:08,820
+الان انا عندي عدسة minus lens ومشيت باتجاه ال
+
+180
+00:17:08,820 --> 00:17:14,020
+minus كيف بعرف انا وصلت لرقم الصحيح ان كل ما اجرب
+
+181
+00:17:14,020 --> 00:17:18,640
+الصورة بتضحك اكترواضح الفكرة؟ يعني الآن انا مثلا
+
+182
+00:17:18,640 --> 00:17:24,200
+عندى minus 4 امشيت من اتجاه ال minus minus 1
+
+183
+00:17:24,200 --> 00:17:28,860
+الصورة كويسة نوعا ما minus 2 اوضح لحد ما اصل ل
+
+184
+00:17:28,860 --> 00:17:31,820
+minus 4 هتكون الصورة clear image
+
+185
+00:17:35,970 --> 00:17:41,230
+الان لو انتوا ان شاء الله في المعمل okay شوفتي ال
+
+186
+00:17:41,230 --> 00:17:46,150
+target اللي هيخرج من اللي هو او من ال eye piece
+
+187
+00:17:46,150 --> 00:17:50,790
+اللي هيشوفه دايما في قضية مهمة ان هذا ال target
+
+188
+00:17:50,790 --> 00:17:57,450
+هيكون بررل light rays اذا ال target اللي خارج من
+
+189
+00:17:57,450 --> 00:18:02,390
+اللي هو النضارةتمام؟ غالبا هيكون اللي هو parallel
+
+190
+00:18:02,390 --> 00:18:08,530
+طيب ايش السر ان ال light rays parallel اللي خارج
+
+191
+00:18:08,530 --> 00:18:14,370
+من النضارة؟ استوعبين مع الفكرة؟ هل جيت مش هي ال
+
+192
+00:18:14,370 --> 00:18:19,310
+spectacle lens؟ الآن انا في ال IBS ايش هشوف؟ ال
+
+193
+00:18:19,310 --> 00:18:24,010
+target اللي خاص في قوة النضارة سواء plus او minus
+
+194
+00:18:25,010 --> 00:18:29,710
+هذا ال light rays غالبا او دائما بيكون ايه
+
+195
+00:18:29,710 --> 00:18:36,990
+parallel متوازى طيب شو السر انه بيكون متوازى؟
+
+196
+00:18:36,990 --> 00:18:40,910
+قاللي
+
+197
+00:18:40,910 --> 00:18:46,850
+دائما هذا ال target okay جاي بالضبط ملامس او عامل
+
+198
+00:18:46,850 --> 00:18:51,910
+seat جالس على مين؟ على النهد ال point بتاع العدسة
+
+199
+00:18:53,290 --> 00:18:58,750
+مرة تانية عشان تثبت المعلومة الآن الأشعة اللى
+
+200
+00:18:58,750 --> 00:19:01,850
+بتكون مش هلجأت هي فيها ان ال light illumination
+
+201
+00:19:01,850 --> 00:19:06,030
+المصدر الضوء يعني انا من خلال ال IBS اش هشوف
+
+202
+00:19:06,030 --> 00:19:12,030
+target جوا الجهاز قال لي دايما الأشعة هذه هتكون
+
+203
+00:19:12,030 --> 00:19:16,650
+اللي هو parallel light rays طيب شو السر ان هذه
+
+204
+00:19:16,650 --> 00:19:22,950
+الأشعة parallel؟جالي انه دائما ال target هيكون
+
+205
+00:19:22,950 --> 00:19:29,350
+seat جالس على مين عن nodal point للعدسة بدنا نفهم
+
+206
+00:19:29,350 --> 00:19:33,450
+ايش المقصود ك definition لل nodal point مين عندها
+
+207
+00:19:33,450 --> 00:19:39,950
+تعريف لل nodal point للعدسة او principle point
+
+208
+00:19:39,950 --> 00:19:47,310
+تمام ايش المفهوم نعم
+
+209
+00:19:47,310 --> 00:19:47,690
+تفضلي
+
+210
+00:19:54,220 --> 00:19:59,020
+تمام نشوف المثال اللى بيشرح على ال nodal point
+
+211
+00:19:59,020 --> 00:20:04,680
+جماعة
+
+212
+00:20:04,680 --> 00:20:10,200
+هى عدسة تمام بس اه اذا هى عندنا عدسة حددكم اياها
+
+213
+00:20:10,200 --> 00:20:14,020
+الصورة ان شاء الله في اخر المحاضرة عندنا هى عدسة
+
+214
+00:20:14,020 --> 00:20:20,320
+تمام هذه تعتبر thick lens okay
+
+215
+00:20:24,210 --> 00:20:29,430
+الان عندنا front surface و في عندنا ايه back
+
+216
+00:20:29,430 --> 00:20:34,810
+surface او rear surface يعني سطح امامي و سطح خلفي
+
+217
+00:20:34,810 --> 00:20:41,150
+لمين للعدسة الان في هن معامل انكسار اول واحد مثلا
+
+218
+00:20:41,150 --> 00:20:47,010
+و هن فيه معامل انكسار اتنين متفقين للسطح الامامي
+
+219
+00:20:47,010 --> 00:20:51,250
+فيه معامل انكسار و الهو ال back surface فيه معامل
+
+220
+00:20:51,250 --> 00:20:57,490
+انكسارأو transmitted حسب الوسط صح ولا لأ واحدة من
+
+221
+00:20:57,490 --> 00:21:02,270
+التلاتة الآن إذا ضالوا ماشي في منتصف العدسة في ال
+
+222
+00:21:02,270 --> 00:21:07,650
+optical center للعدسة زي ما دخل زي ما إيش خرج صح
+
+223
+00:21:07,650 --> 00:21:11,850
+ولا لأ لكن أنا في عندي جزء منه إيه صار له
+
+224
+00:21:11,850 --> 00:21:18,310
+refracted reflected or transmitted فالجزء هذا اللي
+
+225
+00:21:18,310 --> 00:21:23,650
+انكسر إيش عمل ليه front nodal point okay
+
+226
+00:21:24,690 --> 00:21:29,050
+الان دخل وين؟ في ال optical center للعدسة، برضه
+
+227
+00:21:29,050 --> 00:21:32,670
+نفس الحاجة هيخرج، لكن جزء منه إما هيصير له
+
+228
+00:21:32,670 --> 00:21:38,110
+refracted أو reflected أو transmitted ممكن واحدة
+
+229
+00:21:38,110 --> 00:21:43,520
+تسألني، طيب لو كانوا التنين نفس معامل انكسار؟100%
+
+230
+00:21:43,520 --> 00:21:47,720
+هيصير الـ nodal point الأول لل front surface مساوي
+
+231
+00:21:47,720 --> 00:21:51,880
+ايش؟ لل nodal point بتاعة ال back surface او ال
+
+232
+00:21:51,880 --> 00:21:57,220
+rear surface وبالتالي ايش هيكون الاستنتاج؟ ان هذه
+
+233
+00:21:57,220 --> 00:22:00,960
+عبارة عن cell lens يعني سلوكها هيكون ايش ماله؟
+
+234
+00:22:00,960 --> 00:22:06,210
+واحدتمام؟ لكن اذا كان الـ thick lens او السلوب
+
+235
+00:22:06,210 --> 00:22:10,930
+مختلف من السطح الأمامي للسطح الخالفي كل واحد او كل
+
+236
+00:22:10,930 --> 00:22:15,890
+سطح هيعمل front nodal point و back nodal point
+
+237
+00:22:15,890 --> 00:22:20,010
+فهمتوا ايش المقصود فيها؟ او بعض المراجع بيسموها
+
+238
+00:22:20,010 --> 00:22:23,870
+principle point واضحة؟
+
+239
+00:22:28,830 --> 00:22:33,850
+الان عندنا في اللنزمي ترقش اللي بيصير ان ال light
+
+240
+00:22:33,850 --> 00:22:40,870
+rays من ال target هتكون parallel السبب في ذلك ليش؟
+
+241
+00:22:40,870 --> 00:22:46,710
+انه هيكون ال object او ال target ملامس لمن؟ لل
+
+242
+00:22:46,710 --> 00:22:51,650
+nodal point طيب هلممكن ال optical system هذا يكون
+
+243
+00:22:51,650 --> 00:22:59,240
+اكتر من عدسة؟صحيح كله إيش بنسميه نظام بصري يعني
+
+244
+00:22:59,240 --> 00:23:03,720
+حتى لو كانت اللي هو عدسة واحدة وتنتين داخل الجهاز
+
+245
+00:23:03,720 --> 00:23:08,420
+نفس الاشي أو نفس السلوك اللي هو هيصير زي ما الآن
+
+246
+00:23:08,420 --> 00:23:12,980
+هنوضحها في المثال السابق الآن احنا نرجع لمسم
+
+247
+00:23:12,980 --> 00:23:18,900
+الجهاز ان هو إيش؟ lensmeter صح؟ يعني بقيسمين ال
+
+248
+00:23:18,900 --> 00:23:24,590
+focal length للجهازطيب، الان لاحظوا ان في
+
+249
+00:23:24,590 --> 00:23:29,750
+drawbacks او في limitation او في عيوب لمين للجهاز،
+
+250
+00:23:29,750 --> 00:23:34,470
+هذا طبعا هذا مين؟ ال traditional instrument او ال
+
+251
+00:23:34,470 --> 00:23:39,190
+simple instrument الجهاز البسيط او الاولى اللى اول
+
+252
+00:23:39,190 --> 00:23:45,230
+ما اكتشفوهThere are two major problems في مشكلتين
+
+253
+00:23:45,230 --> 00:23:50,470
+أساسيات تمام with the simple lens meter للجهاز A
+
+254
+00:23:50,470 --> 00:23:57,150
+البسيط نشوف المشكلة الأولى The first is that the
+
+255
+00:23:57,150 --> 00:24:01,790
+instrument would have to be too large to be
+
+256
+00:24:01,790 --> 00:24:08,060
+practicalانه انا عشان بدي اطبق طريقة عملية بدي
+
+257
+00:24:08,060 --> 00:24:12,340
+لازم الجهاز ايش يكون كبير لان هو بقيس فعليا من ال
+
+258
+00:24:12,340 --> 00:24:17,300
+focal length للعدسة صح؟ كيف يعني؟ الان لو انا عندي
+
+259
+00:24:17,300 --> 00:24:22,400
+عدسة قوتها ربع ديوبتر كده لازم يكون طول الجهاز
+
+260
+00:24:22,400 --> 00:24:31,310
+اربعة متر تخيلوا جهاز يكون اربعة مترطيب لو انا
+
+261
+00:24:31,310 --> 00:24:38,050
+عندى عدسة قوتها نص ديوبتر كداش بدى؟ اتنين طيب لو
+
+262
+00:24:38,050 --> 00:24:42,990
+عدسة قوتها واحد ديوبتر كداش عندى اللى هو ال focal
+
+263
+00:24:42,990 --> 00:24:48,470
+length؟ واحد متر اذا اول حاجة ال defect او اول
+
+264
+00:24:48,470 --> 00:24:54,350
+problem عندى اساسية طول الجهاز انه too large كبير
+
+265
+00:24:54,350 --> 00:25:02,710
+خالص هدى واحد اتنينالمشكلة الثانية هي أن قيمة
+
+266
+00:25:02,710 --> 00:25:04,610
+الوضع للتحكم في قيمة الوضع للتحكم في قيمة الوضع
+
+267
+00:25:04,610 --> 00:25:11,990
+للتحكم would be non-linear مين تقدر تفسر ليها؟ كيف
+
+268
+00:25:11,990 --> 00:25:15,890
+يعني non-linear؟
+
+269
+00:25:15,890 --> 00:25:23,950
+لأ،
+
+270
+00:25:23,950 --> 00:25:27,030
+الآن احنا قلنا يما كان عندي ربع ديوبتر
+
+271
+00:25:30,110 --> 00:25:38,230
+قداش كان طول الجهاز اربعة متر صح طيب يما كان عندى
+
+272
+00:25:38,230 --> 00:25:49,150
+نص ديوبتر fifty هذه تمام
+
+273
+00:25:49,150 --> 00:25:57,670
+قداش طوله اتنين متر صح طيب يما كان عندى واحد
+
+274
+00:25:57,670 --> 00:25:58,330
+ديوبتر
+
+275
+00:26:00,730 --> 00:26:07,170
+واحد متر صح؟ مش قضية عكسية و تردية هل جيت ملبأ ان
+
+276
+00:26:07,170 --> 00:26:12,730
+الطول بيكون كده؟ اتنين متر الفرج و ملبأ بيكون ايش؟
+
+277
+00:26:12,730 --> 00:26:17,610
+واحد اذا ايش يعتبر؟ non linear يعني مش واحد اتنين
+
+278
+00:26:17,610 --> 00:26:22,090
+تلاتة اربعة خمسة فاهمين علي كيف ال scale التدريج
+
+279
+00:26:22,090 --> 00:26:25,310
+بتاعه ملبأ بيكون واحد ملبأ بيكون اتنين ملبأ بيكون
+
+280
+00:26:25,310 --> 00:26:30,120
+تلاتة ملبأ بيكون اربعة حسب مين؟it depends on the
+
+281
+00:26:30,120 --> 00:26:34,580
+power of the lens حسب قوة العدسة فهمتوا عليا إيش
+
+282
+00:26:34,580 --> 00:26:41,360
+المقصود؟ هذه ال big problem الخاصة في جهاز ال lens
+
+283
+00:26:41,360 --> 00:26:49,800
+meter أو ال symbol lens meter طيب
+
+284
+00:26:49,800 --> 00:26:56,070
+إيش الحل؟الان احنا كل عدسة تخيلوا قوتها ربع ديوبتر
+
+285
+00:26:56,070 --> 00:27:02,790
+تمام بدي جهاز طوله جداش اربع متر نص ديوبتر بدي
+
+286
+00:27:02,790 --> 00:27:07,990
+جهاز جداش طوله اتنين متر الحل كان كالتالة
+
+287
+00:27:07,990 --> 00:27:14,910
+introducing another lens into a simplified lens
+
+288
+00:27:14,910 --> 00:27:22,420
+meterأو standard lens جالك الحل هو انه نعمل عدسة
+
+289
+00:27:22,420 --> 00:27:28,140
+داخل الجهاز ونسمي هذه العدسة شوف standard lens
+
+290
+00:27:28,140 --> 00:27:33,420
+يعني الآن انتوا كل الأجهزة اللي بتشوفوها عندنا في
+
+291
+00:27:33,420 --> 00:27:38,420
+المعمل سواء كانت cross او كانت dot قداش حجمها اقل
+
+292
+00:27:38,420 --> 00:27:44,050
+من تلاتين او اربعين ايشصنطي صح ولا لا يعني very
+
+293
+00:27:44,050 --> 00:27:48,930
+small الجهاز الآن هذه كل الأجهزة في داخلها فيه
+
+294
+00:27:48,930 --> 00:27:55,410
+scanner lens تمام قداش ال scanner lens قوتها غالبا
+
+295
+00:27:55,410 --> 00:27:57,870
+عشرين ديوبتر تخيلوا
+
+296
+00:28:01,460 --> 00:28:07,920
+الاجهزة هذه كقوة او standard lens فيها usually a
+
+297
+00:28:07,920 --> 00:28:13,060
+twenty diopter طيب ايش الهدف منه؟ ليش انا بستخدم
+
+298
+00:28:13,060 --> 00:28:18,060
+اللي هو ال standard lens عشان اصغر حجم الجهاز؟ هي
+
+299
+00:28:18,060 --> 00:28:24,280
+الهدف الأساسي انه مش والله اما احتاج اناعدسة قوتها
+
+300
+00:28:24,280 --> 00:28:29,260
+ربع ديوبتر بدي أربعة متر أو عدسة قوتها مثلا نص
+
+301
+00:28:29,260 --> 00:28:33,280
+ديوبتر بدي اتنين متر لأ بستخدم ال standard lens هي
+
+302
+00:28:33,280 --> 00:28:36,500
+كفيلة بتصغير حجم الجهاز
+
+303
+00:28:40,350 --> 00:28:44,470
+إذا shortness the required length of the
+
+304
+00:28:44,470 --> 00:28:49,570
+instrument considerably إذا هي كفيلة بتصغير حجم
+
+305
+00:28:49,570 --> 00:28:54,490
+الجهاز بشكل كبير جدا إذا considerably أي بمعنى
+
+306
+00:28:54,490 --> 00:29:00,430
+بدرجة كبيرة جدا makes
+
+307
+00:29:00,430 --> 00:29:06,350
+the diopteric scale of the instrument linearمن
+
+308
+00:29:06,350 --> 00:29:10,710
+شوية كان الفروقات كده؟ مرة واحد مرة اتنين مرة ممكن
+
+309
+00:29:10,710 --> 00:29:14,930
+تلاتة و هكذا حسب ال power بتاع العدسة الخاصة بال
+
+310
+00:29:14,930 --> 00:29:20,330
+lens الان هان لأ صار عبارة عن linear scale عندنا
+
+311
+00:29:20,330 --> 00:29:25,670
+ال zero في عندنا plus و في عندنا ايه؟ minusمثلا
+
+312
+00:29:25,670 --> 00:29:31,070
+التدريج Zero plus واحد plus اتنين plus تلاتة minus
+
+313
+00:29:31,070 --> 00:29:34,810
+واحد minus اتنين minus تلاتة اذا عندنا الفروقات
+
+314
+00:29:34,810 --> 00:29:39,210
+حتى في minus تلاتة وربع minus تلاتة و نص و هكذا
+
+315
+00:29:39,210 --> 00:29:44,670
+حسب قوة العدسة اللي انا بجيصها and therefore more
+
+316
+00:29:44,670 --> 00:29:48,810
+accurate at higher diopteric powers و أصبحت اللي
+
+317
+00:29:48,810 --> 00:29:54,640
+هو اكتر دقة وين؟في القوة العالية يعني انا عندى
+
+318
+00:29:54,640 --> 00:30:00,340
+مثلا ماينوس عشرين او ماينوس مثلا اتنين وعشرين اذا
+
+319
+00:30:00,340 --> 00:30:12,440
+الجهاز اصبح اكتر دقة في هذه الناحية okay
+
+320
+00:30:12,440 --> 00:30:18,100
+الان نفس الفكرة زى ال symbol lens meter فى عندنا
+
+321
+00:30:18,100 --> 00:30:25,060
+observer IIbs graphical شايفين هان اوضح اللى هو
+
+322
+00:30:25,060 --> 00:30:30,780
+المنقلة صح؟ منقلة واضحة اللى هى انا يما بوضح ال
+
+323
+00:30:30,780 --> 00:30:36,340
+Ibs تمام بصير تعديل لمين لأ المنقلة بالاتجاه
+
+324
+00:30:36,340 --> 00:30:40,580
+السليم اللى انا بديها الان فى عندنا standard lens
+
+325
+00:30:40,580 --> 00:30:45,900
+و spectacle lens هدول التنتين ايش بنسميهم optical
+
+326
+00:30:45,900 --> 00:30:50,360
+system
+
+327
+00:30:53,330 --> 00:31:01,380
+يعني بمعنى آخر أنه بيصير سلوك ال target واحدان كل
+
+328
+00:31:01,380 --> 00:31:05,660
+هيتو بيكون برر ال light rays يعني انا مش بحاجة ..
+
+329
+00:31:05,660 --> 00:31:08,520
+يعني ممكن واحد يقول لي okay لما يكون ال spectacle
+
+330
+00:31:08,520 --> 00:31:12,800
+lens بدون ال standard lens بيكون عندي برر ال light
+
+331
+00:31:12,800 --> 00:31:16,320
+rays طب انا اضافة اللي هو ال standard lens لأ بقول
+
+332
+00:31:16,320 --> 00:31:19,920
+له هان صاروا كل هيتهم optical system يعني نوضة ال
+
+333
+00:31:19,920 --> 00:31:24,440
+point واحد فالنوضة ال point هيكون ملامس لمين؟ لل
+
+334
+00:31:24,440 --> 00:31:28,470
+targetواضح الفكرة؟ طيب ليش احنا ضفناها هنا الـ
+
+335
+00:31:28,470 --> 00:31:32,830
+standard lens عشان الظغر اللي هو طول الجهاز و
+
+336
+00:31:32,830 --> 00:31:38,130
+تديني accurate اللي هو القوة العالية للـ high
+
+337
+00:31:38,130 --> 00:31:44,030
+diopteric power في عندنا هنا ال adjustable target
+
+338
+00:31:44,030 --> 00:31:49,960
+graphical الان انا ببدأ بعملية توضيح مينالـ cross
+
+339
+00:31:49,960 --> 00:31:54,120
+أو الـ dot يعني مثلا انا عندي minus تلاتة ع minus
+
+340
+00:31:54,120 --> 00:32:02,080
+أربعة بوضح ال cross و بغبش ال cross تمام فحسب ايش
+
+341
+00:32:02,080 --> 00:32:06,260
+قيمة اللي هو ال power اللي موجودة في داخل النضارة
+
+342
+00:32:06,260 --> 00:32:09,620
+وهنا عندنا ال light illumination شايفين كيف ال
+
+343
+00:32:09,620 --> 00:32:16,080
+scale صار ايش ماله؟ linearانه منتظم صح ولا لا او
+
+344
+00:32:16,080 --> 00:32:20,640
+بمعنى خط يعني زي كأنه خط اعداد Zero بعدين عندنا
+
+345
+00:32:20,640 --> 00:32:27,560
+ربع نص خمسة وسبعين واحد واحد ربع لحد خمسة يعني ال
+
+346
+00:32:27,560 --> 00:32:34,260
+scale كله تو linear اللي موجود في داخل الجهاز تمام
+
+347
+00:32:45,010 --> 00:32:54,150
+طبعا هذه ال slide بيوضح ان قوة العدسة بتاعة
+
+348
+00:32:54,150 --> 00:33:01,010
+النضارة يما تكون موجبة و يما تكون سالبة كيف هيكون
+
+349
+00:33:01,010 --> 00:33:05,990
+اللي هو السلوك لها خلينا نشوف الآن بداية عندنا
+
+350
+00:33:05,990 --> 00:33:13,650
+بررل light rays صح؟جاي من ال infinity اذا هذه برر
+
+351
+00:33:13,650 --> 00:33:18,810
+ال light rays من ال infinity عندنا plus lens هذه
+
+352
+00:33:18,810 --> 00:33:23,430
+عبارة عن ايه ال optical system كانت plus lens
+
+353
+00:33:23,430 --> 00:33:29,030
+light rays ايش ماله صاله تجميع هان عندنا ال
+
+354
+00:33:29,030 --> 00:33:33,530
+optical او ال standard lens ال standard lens اللي
+
+355
+00:33:33,530 --> 00:33:41,100
+جونا غالبا بتكون ال twenty ديوبتر okayعملت ايه؟
+
+356
+00:33:41,100 --> 00:33:48,060
+Convergent للـ Lie Trades الآن ال target هذا موازي
+
+357
+00:33:48,060 --> 00:33:53,160
+لمين او جالس على ال nodal point الخاصة في العدسة
+
+358
+00:33:53,160 --> 00:33:57,940
+عندنا الآن يا جماعة في اللي هو ال X ال X هذه ايش
+
+359
+00:33:57,940 --> 00:34:04,760
+بتمثل؟ مين تحكي ليه؟ ممتازة لمين؟
+
+360
+00:34:10,850 --> 00:34:16,130
+هذه بتمثل ال focal length للعدسة ال standard lens
+
+361
+00:34:16,130 --> 00:34:24,610
+تمام؟ لكن ال X شرطة ايش بتمثل ال focal length لل
+
+362
+00:34:24,610 --> 00:34:29,190
+unknown lens العدسة المجهولة اللي مش معروفة كده
+
+363
+00:34:29,190 --> 00:34:36,750
+قوتها؟تثبيتا للمعلومة إذا عنا ال X شرطة بتمثل ال
+
+364
+00:34:36,750 --> 00:34:42,590
+focal length لل unknown lens ال X هي عبارة عن ال
+
+365
+00:34:42,590 --> 00:34:49,110
+focal length لل standard lens وهي عنا linear scale
+
+366
+00:34:49,110 --> 00:34:55,330
+plusزيرو وعنا plus او minus طبعا هان مدام العدسة
+
+367
+00:34:55,330 --> 00:34:59,870
+plus اذا بمشي باتجاه من ال plus يعني ال scale
+
+368
+00:34:59,870 --> 00:35:06,650
+بتاعي هيكون باتجاه ال plus تمام الان هدول التنتين
+
+369
+00:35:06,650 --> 00:35:12,070
+ال standard lens و ال unknown lens التنتين ايش
+
+370
+00:35:12,070 --> 00:35:19,550
+صاروا optical system نظام بصري واحد okay نيجي لل
+
+371
+00:35:19,550 --> 00:35:20,350
+minus lens
+
+372
+00:35:23,160 --> 00:35:29,320
+نفس الفكرة عندنا light rays تمام في عندنا ال minus
+
+373
+00:35:29,320 --> 00:35:35,060
+lens عندنا هان ال standard lens plus okay و في
+
+374
+00:35:35,060 --> 00:35:40,160
+عندنا ال X هذا بيمثل مين ال focal length لل
+
+375
+00:35:40,160 --> 00:35:44,760
+standard lens okay و عندنا ال target طبعا ال focal
+
+376
+00:35:44,760 --> 00:35:52,350
+point ل ال unknown lens وين هتكون in frontأه in
+
+377
+00:35:52,350 --> 00:35:58,430
+front the lens أمامها صح ولا لأ
+
+378
+00:35:58,430 --> 00:36:03,690
+هاي شايفين ال X شرطة اللي هي عبارة عن ال focal
+
+379
+00:36:03,690 --> 00:36:06,270
+length لمن لل unknown lens
+
+380
+00:36:09,200 --> 00:36:14,340
+The relationship of target movement to power of
+
+381
+00:36:14,340 --> 00:36:19,700
+unknown lens can be deduced from a Newton's
+
+382
+00:36:19,700 --> 00:36:26,500
+relationship يعني يمكن دراسة العلاقة ما بين حركة
+
+383
+00:36:26,500 --> 00:36:32,770
+ال targetتمام؟ و قوة العدسة الغير معروفة من خلال
+
+384
+00:36:32,770 --> 00:36:37,530
+اللي هو استنتاجها بقانون اللي هو نيوتن او بنسميه a
+
+385
+00:36:37,530 --> 00:36:43,610
+newton relationship a newton relationship بتمثل
+
+386
+00:36:43,610 --> 00:36:50,330
+العلاقة هذه ال linear relationship بداية عندنا
+
+387
+00:36:50,330 --> 00:36:55,870
+عندما انا بتكلم يا جماعة F small المقصود فيها ايه؟
+
+388
+00:36:55,870 --> 00:37:02,150
+focal lengthتمام يعني
+
+389
+00:37:02,150 --> 00:37:13,110
+اما انا بتكلم F capital power of a lens الان
+
+390
+00:37:13,110 --> 00:37:18,570
+عندنا focal length و قاللي S small اذا هذه ال S
+
+391
+00:37:18,570 --> 00:37:25,270
+small ايش بتمثل ال standard lens تمام
+
+392
+00:37:26,500 --> 00:37:31,280
+إذا عنا ال focal length لل standard lens طبعا
+
+393
+00:37:31,280 --> 00:37:37,880
+تربيع بالساوى minus طبعا هذه ال minus ليش حسب نوع
+
+394
+00:37:37,880 --> 00:37:42,780
+العدسة هل هي plus ولا minus إذا كانت العدسة minus
+
+395
+00:37:42,780 --> 00:37:46,420
+هيكون ايش ال focal length بال minus إذا كانت plus
+
+396
+00:37:46,420 --> 00:37:52,880
+هيكون ال focal length موجب ال X هذه متمثل مين ال
+
+397
+00:37:52,880 --> 00:37:59,890
+focal length لمينللـ standard lens 100% طيب و ال X
+
+398
+00:37:59,890 --> 00:38:05,130
+شرطة هيمثل اللي هو ال focal length للعدسة المجهولة
+
+399
+00:38:05,130 --> 00:38:12,210
+okay هذه linear relationship طيب احنا الجهاز ال
+
+400
+00:38:12,210 --> 00:38:15,250
+lens meter اللي موجود عندنا في المعمل هل بيشتغل
+
+401
+00:38:15,250 --> 00:38:19,530
+بطريقة ال focal length ولا بيشتغل بطريقة البورة؟
+
+402
+00:38:21,650 --> 00:38:25,650
+الـ power صح ولا لا؟ اذا انا هان بدي ايش؟ استخدم
+
+403
+00:38:25,650 --> 00:38:30,130
+اللي هو قانون الـ diopteric power لعملية التحويل
+
+404
+00:38:30,130 --> 00:38:33,710
+متفقين؟
+
+405
+00:38:33,710 --> 00:38:37,070
+هل جيت احنا عندنا القانون ايش بالساوية؟ ال focal
+
+406
+00:38:37,070 --> 00:38:43,190
+length واحد على F صح؟ هادي متر يعني ميت صانطي او
+
+407
+00:38:43,190 --> 00:38:49,700
+الف ايش مليطيب عنا الان focal length لل standard
+
+408
+00:38:49,700 --> 00:38:57,820
+length تربيع، اذا هو عبارة عن واحد على F ال S
+
+409
+00:38:57,820 --> 00:39:04,620
+تربيع، هذا بإيش؟ بالميتر، انا بدي اياها في ايش؟ في
+
+410
+00:39:04,620 --> 00:39:07,900
+ال millimeter صح ولا لا؟ اذا بقول الف في الف، طب
+
+411
+00:39:07,900 --> 00:39:13,110
+من وين جيبنا الألف التانية؟ لأنه لكل تربيعصح؟ اذا
+
+412
+00:39:13,110 --> 00:39:17,630
+نحصيل 1000 في 1000 على F اللي هو ال standard lens
+
+413
+00:39:17,630 --> 00:39:21,150
+ك power يعني هذه عبارة عن مين ال power لل standard
+
+414
+00:39:21,150 --> 00:39:25,610
+lens تربيع ايش بالساوية؟ minus قلنا هذه قد تكون
+
+415
+00:39:25,610 --> 00:39:30,850
+متغيرةX هي عبارة عن مين؟ الـFocal Length
+
+416
+00:39:30,850 --> 00:39:36,070
+للـStandard Lens مضروبة في الف اللي هي بالمليمتر
+
+417
+00:39:36,070 --> 00:39:41,150
+على FU اللي هو عبارة عن الـPower للـUnknown Lens
+
+418
+00:39:41,150 --> 00:39:46,430
+قوة العدسة المجهولة تمام؟ الآن أنا بدي قيمة الـX
+
+419
+00:39:46,430 --> 00:39:52,920
+لحالهاالـ X إيش بالساوية؟ اللي هي عبارة عن ال FU
+
+420
+00:39:52,920 --> 00:39:59,020
+ضرب الف على اللي هو F ال standard lens تربيع طريقة
+
+421
+00:39:59,020 --> 00:40:05,620
+رياضية جيبناها مين؟ ال focal length لل standard
+
+422
+00:40:05,620 --> 00:40:07,500
+lens تمام؟
+
+423
+00:40:11,840 --> 00:40:17,940
+بالتالي لجهاز عشوائي عشرين لينز عشوائي لينز عشرين
+
+424
+00:40:17,940 --> 00:40:20,900
+لكن لو شوفت في جهاز عشوائي عشوائي عشوائي عشوائي
+
+425
+00:40:20,900 --> 00:40:21,740
+عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي
+
+426
+00:40:21,740 --> 00:40:22,980
+عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي
+
+427
+00:40:22,980 --> 00:40:23,000
+عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي
+
+428
+00:40:23,000 --> 00:40:26,860
+عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي عشوائي
+
+429
+00:40:26,860 --> 00:40:40,880
+عشوائي عشوائي عشوائي عشوائي عش
+
+430
+00:40:42,150 --> 00:40:47,570
+S صح ولا لأ ال power لل standard lens طيب احنا
+
+431
+00:40:47,570 --> 00:40:53,050
+عندنا القانون ال X ايش بالساوي الا استنتجناه F U
+
+432
+00:40:53,050 --> 00:41:05,620
+ضرب الف على F S تربيع تمام طيب مين المعلوم عندهالـ
+
+433
+00:41:05,620 --> 00:41:09,440
+Power of standard lens صح ولا لأ؟ من المجهول عندنا
+
+434
+00:41:09,440 --> 00:41:12,540
+ال focal length للـ standard lens وعندنا ال power
+
+435
+00:41:12,540 --> 00:41:16,940
+لل unknown lens عشان هيك هو حسبها ايش؟ ملي متر
+
+436
+00:41:16,940 --> 00:41:22,120
+ديوبتر الان لو عوّبت هنا عندنا FU ضرب الف على
+
+437
+00:41:22,120 --> 00:41:26,460
+الجداش عنا خمسة وعشرين تربيع جداش الخمسة وعشرين
+
+438
+00:41:26,460 --> 00:41:27,280
+تربيع؟
+
+439
+00:41:29,500 --> 00:41:34,940
+625 لازم تطلع القيمة اللي هي واحد وستة ملي لكل
+
+440
+00:41:34,940 --> 00:41:39,600
+ديوبتر ليش هنكتب ملي لكل ديوبتر لأن عنده ال X غير
+
+441
+00:41:39,600 --> 00:41:44,720
+معلومة وعنده مين كمان ال F ل U غير معلومة طبعا هذه
+
+442
+00:41:44,720 --> 00:41:54,420
+بالمليمتر وهذه بالديوبتر واضحة طيب
+
+443
+00:41:54,420 --> 00:42:00,620
+الآن عندنا for a rangeبقى بـ plus 10 to minus 10
+
+444
+00:42:00,620 --> 00:42:05,900
+جماعة بدي تفهموا ان موضوع ال range هو عبارة عن خط
+
+445
+00:42:05,900 --> 00:42:10,760
+أعداد زي ما شفنا تول X عندما عملها كيف يعني؟ الآن
+
+446
+00:42:10,760 --> 00:42:17,640
+مثلا عندنا plus 10 صح؟ كل ما انا اطلعت بزيد ال
+
+447
+00:42:17,640 --> 00:42:22,840
+plus متفقين؟ كل ما انا انزلت بقل ال plus لحد دي
+
+448
+00:42:22,840 --> 00:42:30,600
+ايش؟ صفر طيب من plus 10 لصفر جديش؟عشرة وعنا من صفر
+
+449
+00:42:30,600 --> 00:42:35,720
+لـ minus عشرة برضه عشرة صح؟ اذا كل واحدة بدي
+
+450
+00:42:35,720 --> 00:42:40,500
+احسبلها ايش ال target movement كخط اعداد مختلف عن
+
+451
+00:42:40,500 --> 00:42:44,740
+التاني مستوعبين معاه؟ اذا هان for a range of a
+
+452
+00:42:44,740 --> 00:42:49,580
+plus 10 diopter to minus 10 diopter the target
+
+453
+00:42:49,580 --> 00:42:56,890
+movement of only 32 millimeter كيف جبنا ال 32؟الان
+
+454
+00:42:56,890 --> 00:43:03,970
+احنا حسبنا ال vocal length ل plus عشرة تمام؟ اذا
+
+455
+00:43:03,970 --> 00:43:08,730
+ال F ايش هيساوي؟ مية على عشرة صحيح؟ و جيبنا ال
+
+456
+00:43:08,730 --> 00:43:14,470
+vocal length لمين؟ للتانية و عوضنا على القانون F ل
+
+457
+00:43:14,470 --> 00:43:19,920
+U اللي هو في الف على F ل S تربيةتمام؟ طلع عندنا
+
+458
+00:43:19,920 --> 00:43:24,480
+الأولى 16 والتانية 16 هلجيت الاتنين خط أعداد يعني
+
+459
+00:43:24,480 --> 00:43:28,440
+عندنا minus 16 و plus 16 راح جمعهم مع بعض إيش
+
+460
+00:43:28,440 --> 00:43:34,540
+بطلعوا يعني الفرق ما بين السفر ل plus 10 هي عبارة
+
+461
+00:43:34,540 --> 00:43:38,860
+عن 16 ملي و من سفر ل minus 10 برضه عبارة عن جديش
+
+462
+00:43:38,860 --> 00:43:45,700
+16 ملي الناتج كان جديش اللي هو 32 ملي استوعبين
+
+463
+00:43:45,700 --> 00:43:47,880
+الفكرة هذه ولا كيف؟ ولا حلها؟
+
+464
+00:44:07,490 --> 00:44:12,470
+هلجيت عندنا for a range فبـ plus عشرة اللي plus
+
+465
+00:44:12,470 --> 00:44:19,220
+عشرة دي و بترهدي إيش بتمثل F ال unknown lens صح؟هل
+
+466
+00:44:19,220 --> 00:44:28,260
+جيت عندنا ال X ايش بالساوية الف F ال U على F ال
+
+467
+00:44:28,260 --> 00:44:34,180
+standard lens الان الف F ال U جداش عشرة اللي هي
+
+468
+00:44:34,180 --> 00:44:40,600
+عشر تلاف عشر تلاف قسميها على جداش طبعا هان تربيع
+
+469
+00:44:40,600 --> 00:44:44,580
+خمسة و عشرين مية في المية اللي هي جداش ستمية و
+
+470
+00:44:44,580 --> 00:44:51,260
+خمسة و عشرينهلجيت هذه عنا الف تمام هذه عبارة عن
+
+471
+00:44:51,260 --> 00:44:57,660
+ايش قيمة ثابتة FU هي عبارة عن ال power of unknown
+
+472
+00:44:57,660 --> 00:45:02,260
+lens طب هنا معلومة جديش ال FU عشرة يعني هذه يا
+
+473
+00:45:02,260 --> 00:45:06,580
+جماعة و كأنه قوة مين النضارة او قوة العدسة
+
+474
+00:45:06,580 --> 00:45:11,180
+مستوابين معاه جديش قيمتها اللي هي plus عشرة ديوبتر
+
+475
+00:45:11,180 --> 00:45:17,670
+فعوضنا الف في عشرة عشر تلافةطيب عنا قفل ال
+
+476
+00:45:17,670 --> 00:45:21,430
+standard يا بتكون عشرين اللي هي الغالب او خمسة و
+
+477
+00:45:21,430 --> 00:45:25,990
+عشرين لو اوضنا الآن يا لطيفة على عشرين بتصير كده؟
+
+478
+00:45:25,990 --> 00:45:30,330
+اربعمية لانه عشرين لكل تربيع كده بتطلع؟ يجسمي عشر
+
+479
+00:45:30,330 --> 00:45:36,170
+تلاف على اربعمية طيب
+
+480
+00:45:36,170 --> 00:45:40,150
+عشر تلاف على ستمية و خمسة و عشرين تطلع ستة عشر
+
+481
+00:45:40,150 --> 00:45:48,680
+تمام؟ هي كده؟ ستة عشرهذه ملي هذي للعدسة مين؟ plus
+
+482
+00:45:48,680 --> 00:45:54,480
+عشرة بقى اجي نفس الفكرة لمين؟ لل minus عشرة جديش
+
+483
+00:45:54,480 --> 00:45:59,820
+ال minus عشرة هتطلع minus ست عشر ملي صح ولا لأ؟
+
+484
+00:45:59,820 --> 00:46:04,130
+الآن بقوله تعالي مانفعش انت ايش تحسب جامعاللي هو
+
+485
+00:46:04,130 --> 00:46:07,170
+جمع احنا عبارة عن الـ scale عندنا زي ما رسمتلكم
+
+486
+00:46:07,170 --> 00:46:12,250
+إياه شوية انه عندنا من صفر لعشرة جديش ست عشر ملي
+
+487
+00:46:12,250 --> 00:46:16,570
+ومن صفر لمينوس عشرة جديش ست عشر ملي اذا المجموع
+
+488
+00:46:16,570 --> 00:46:24,890
+بتاعهم جديش اللي هي اتنين وثلاثين ملي سوابتوا يعني
+
+489
+00:46:24,890 --> 00:46:31,980
+الآن تخيلوا انه اختلاف ال movementما بين العدسة
+
+490
+00:46:31,980 --> 00:46:39,040
+الـ minus عشرة والـ plus عشرة جداش 32 ملي وهذا أنا
+
+491
+00:46:39,040 --> 00:46:43,380
+بثبت المفهوم اللي حكيتلكم إياه لو أنا كان عندي
+
+492
+00:46:43,380 --> 00:46:48,180
+عدسة الـ plus عشرة وانا ناشف الـ minus كل ما مشيت
+
+493
+00:46:48,180 --> 00:46:51,880
+في الـ minus أكتر كل ما إيش زاد ال fame بتاعة
+
+494
+00:46:51,880 --> 00:46:56,100
+العدسة أو كل عفو لـ fame بتاع ال target وإذا كان
+
+495
+00:46:56,100 --> 00:47:01,230
+عندي عدسة- lens وانا ماشي في الـ plus كل ما مشيت
+
+496
+00:47:01,230 --> 00:47:06,970
+أكتر بزود الـ mean الفين لل target أكتر تمام؟ لأنه
+
+497
+00:47:06,970 --> 00:47:11,890
+هيحتاج مسافة إيش اللي هو أكتر نقف ان شاء الله
+
+498
+00:47:11,890 --> 00:47:15,610
+للنقطة هذه في المحاضرة الجاية بنكمل ان شاء الله
+
+499
+00:47:15,610 --> 00:47:16,410
+يعطيكم العافية
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE.srt
new file mode 100644
index 0000000000000000000000000000000000000000..faf286b4081b4ec4ec2ce4c5f12cee571bc9ecad
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE.srt
@@ -0,0 +1,1386 @@
+1
+00:00:21,040 --> 00:00:23,660
+بسم الله الرحمن الرحيم، السلام عليكم ورحمة الله
+
+2
+00:00:23,660 --> 00:00:27,900
+وبركاته، and a very good afternoon to all of you
+
+3
+00:00:29,160 --> 00:00:34,700
+هنبدأ إن شاء الله بال another system الذي متمثل
+
+4
+00:00:34,700 --> 00:00:40,060
+بال boxing system تمام؟ إذاً the boxing system
+
+5
+00:00:40,060 --> 00:00:46,120
+improved on the foundation provided by the datum
+
+6
+00:00:46,120 --> 00:00:52,980
+system. إذاً هو عملية تحسين لل structure الذي خاص في
+
+7
+00:00:52,980 --> 00:00:57,370
+من؟ في ال datum system. يعني بمعنى آخر هو update
+
+8
+00:00:57,370 --> 00:01:00,990
+تحديث لل datum system
+
+9
+00:01:04,730 --> 00:01:10,890
+The datum system used two horizontal lines, one
+
+10
+00:01:10,890 --> 00:01:14,870
+against the top and the other against the bottom
+
+11
+00:01:14,870 --> 00:01:20,350
+of the lens. سابقاً أخذنا ال datum system وحكينا
+
+12
+00:01:20,350 --> 00:01:26,230
+أنه بتكون من، اللي هو two lines. طبعاً عندنا ال
+
+13
+00:01:26,230 --> 00:01:32,270
+horizontal الذي سيكون محاذي لل top part، وأيضاً
+
+14
+00:01:32,270 --> 00:01:36,130
+عندنا ال lower الذي يكون محاذي لمن؟ لل bottom
+
+15
+00:01:36,130 --> 00:01:41,430
+part، okay. فهذين الاثنين ماذا نسميهما؟ horizontal line
+
+16
+00:01:41,430 --> 00:01:54,350
+طبعاً هذا لل top part، okay. وهنا عندنا لل bottom
+
+17
+00:01:54,350 --> 00:01:57,230
+part.
+
+18
+00:02:03,050 --> 00:02:09,310
+The boxing system kept these two horizontal lines
+
+19
+00:02:09,310 --> 00:02:16,210
+and added two vertical lines. إذاً هو يعمل محافظة
+
+20
+00:02:16,210 --> 00:02:21,530
+على ال horizontal line ال top وعلى ال another
+
+21
+00:02:21,530 --> 00:02:25,970
+horizontal line المتعلق في من؟ في ال bottom. ولكن
+
+22
+00:02:25,970 --> 00:02:31,180
+يأتي ويضيف ماذا؟ a new vertical line. ال new
+
+23
+00:02:31,180 --> 00:02:35,180
+vertical line، أين تكون؟ Vertical lines، يعني
+
+24
+00:02:35,180 --> 00:02:40,940
+باتجاه ال right وباتجاه ال left. واضحة؟ طبعاً هذا
+
+25
+00:02:40,940 --> 00:02:45,780
+ال datum، لكن في ال boxing سيكون في عندنا إضافة ل
+
+26
+00:02:45,780 --> 00:02:50,520
+ال two horizontal lines و two vertical lines. يعني
+
+27
+00:02:50,520 --> 00:02:55,460
+قليلاً سنرى كيف سيكون شكله لل boxing system
+
+28
+00:02:57,540 --> 00:03:03,640
+These vertical lines are placed against the right and
+
+29
+00:03:03,640 --> 00:03:09,360
+left edges of the lens. إذاً ستكون عبارة عن خطوط
+
+30
+00:03:09,360 --> 00:03:15,400
+عمودية محاطة باليمين واليسار من، اللي هو من أطراف
+
+31
+00:03:15,400 --> 00:03:22,700
+العدسة. شايفين؟ مثل الشكل هذا، هذه عبارة عن ماذا؟
+
+32
+00:03:22,700 --> 00:03:28,440
+اللي هو two vertical lines. في نقطة مهمة جداً هنا.
+
+33
+00:03:28,440 --> 00:03:33,340
+أنا لما أريد أن آتي وأعمل boxing system، لابد أن يكون
+
+34
+00:03:33,340 --> 00:03:39,510
+ال top part وال bottom part وال right part وال
+
+35
+00:03:39,510 --> 00:03:44,150
+left part، الأربعة متساوين. كيف نحدد ذلك من خلال، اللي هي
+
+36
+00:03:44,150 --> 00:03:47,810
+المسطرة. يعني الآن ستأخذون إن شاء الله في المعمل
+
+37
+00:03:47,810 --> 00:03:52,710
+كيف ترسمون أولاً الشابلونة، تمام؟ بعد أن ترسموها،
+
+38
+00:03:52,710 --> 00:03:57,750
+تأتِين بمسطرة، فتعملين اللي هو marking، تعليم لل
+
+39
+00:03:57,750 --> 00:04:01,590
+horizontal lines وال vertical lines. كل هذا يجب
+
+40
+00:04:01,590 --> 00:04:05,190
+أن يكون متساوياً من حيث ماذا؟ اللي هو ال score أو من
+
+41
+00:04:05,190 --> 00:04:13,070
+حيث اللي هو التدريج. All four
+
+42
+00:04:13,070 --> 00:04:18,510
+lines form a box around the lens. إذاً عندنا الأربع
+
+43
+00:04:18,510 --> 00:04:21,330
+خطوط ستكون حول من؟ العدسة.
+
+44
+00:04:29,050 --> 00:04:34,330
+Horizontal Midline. ال Horizontal Midline هذا أين
+
+45
+00:04:34,330 --> 00:04:40,070
+متوفر؟ في ال Datum System، صحيح أم لا؟ الآن سنرى
+
+46
+00:04:40,070 --> 00:04:45,110
+ال Reflection بتاعه في ال Boxing System. يعني
+
+47
+00:04:45,110 --> 00:04:49,870
+نريد أن نرى الآن، هل ال Boxing System يحافظ على ال
+
+48
+00:04:49,870 --> 00:04:56,250
+Horizontal Midline أم لا؟ ماذا ترون؟ ما رأيكم
+
+49
+00:04:56,250 --> 00:05:01,280
+في هذا؟ يحافظ عليه أم لا؟ يحافظ عليه. هو ماذا
+
+50
+00:05:01,280 --> 00:05:04,680
+المقصود بال horizontal midline؟ هو عبارة عن ال
+
+51
+00:05:04,680 --> 00:05:08,280
+datum line، صحيح أم لا؟ يعني الخط الذي يفصل ما بين
+
+52
+00:05:08,280 --> 00:05:12,180
+ماذا؟ ال half way، ال upper وال half way، يعني
+
+53
+00:05:12,180 --> 00:05:18,400
+ال lower. إذاً there is a horizontal line. إذاً
+
+54
+00:05:18,400 --> 00:05:25,040
+الخط ماذا يكون؟ أفقي، okay، half way، أنه يعمل عملية
+
+55
+00:05:25,040 --> 00:05:30,940
+فصل أو اللي هو تنصيف، لنقل، between the top and
+
+56
+00:05:30,940 --> 00:05:35,600
+bottom of the lens. إذاً نصف الجزء العلوي وأيضاً
+
+57
+00:05:35,600 --> 00:05:40,360
+اللي هو ال bottom part الخاص في اللي هو النظام
+
+58
+00:05:40,360 --> 00:05:45,980
+okay. in the datum system، في نظام ال datum، ماذا كنا
+
+59
+00:05:45,980 --> 00:05:53,620
+نسميه؟ datum line. يعني هذا الخط المسمى بتاعه datum
+
+60
+00:05:53,620 --> 00:05:57,260
+line.
+
+61
+00:05:58,910 --> 00:06:02,750
+Okay, this
+
+62
+00:06:02,750 --> 00:06:08,490
+name continues to be used. يعني هذا المسمى ما زال
+
+63
+00:06:08,490 --> 00:06:12,750
+اللي هو مستمر في عملية الاستخدام، أين؟ في ال boxing
+
+64
+00:06:12,750 --> 00:06:19,470
+system. However، مع ذلك، in the boxing system this
+
+65
+00:06:19,470 --> 00:06:24,610
+line is more commonly، يعني الأكثر شيوعاً،
+
+66
+00:06:25,270 --> 00:06:31,630
+referred to as the horizontal midline.
+
+67
+00:06:33,350 --> 00:06:38,170
+أو ال 180 degree line. يعني الآن لو قلت لك اعمل
+
+68
+00:06:38,170 --> 00:06:43,290
+ال boxing system، وحكيت لك، ضع ال 180 degree line،
+
+69
+00:06:43,290 --> 00:06:46,130
+على طول، ماذا تعرفين؟ هو عبارة عن ال horizontal
+
+70
+00:06:46,130 --> 00:06:50,190
+midline. لو قلت لك مثلاً، ضع ال horizontal midline على
+
+71
+00:06:50,190 --> 00:06:53,330
+طول، أعرف أنه عبارة عن من؟ عن ال datum line الذي
+
+72
+00:06:53,330 --> 00:06:58,300
+أخذته في ال datum system، تمام؟ ما الهدف منه؟
+
+73
+00:06:58,300 --> 00:07:02,560
+أنه يعمل عملية تنصيف ما بين ال upper part وال
+
+74
+00:07:02,560 --> 00:07:10,560
+bottom part. طيب،
+
+75
+00:07:10,560 --> 00:07:18,020
+عندنا جزئية ال geometric center. طبعاً ال geometric
+
+76
+00:07:18,020 --> 00:07:23,680
+center، لو كان لدي دائرة، هي تمثل ماذا؟ نصف قطر
+
+77
+00:07:23,680 --> 00:07:31,330
+الدائرة. السنتر اللينز هو النقطة على الاتصال
+
+78
+00:07:31,330 --> 00:07:37,410
+الهوريزنتال. نحو نحو الاتصال الهوريزنتال. نحو
+
+79
+00:07:37,410 --> 00:07:38,390
+الاتصال الهوريزنتال. نحو الاتصال الهوريزنتال. نحو
+
+80
+00:07:38,390 --> 00:07:39,550
+الاتصال الهوريزنتال. نحو الاتصال الهوريزنتال. نحو
+
+81
+00:07:39,550 --> 00:07:42,930
+الاتصال الهوريزنتال. نحو
+
+82
+00:07:42,930 --> 00:07:44,310
+الاتصال الهوريزنتال. نحو الاتصال الهوريزنتال. نحو
+
+83
+00:07:44,310 --> 00:07:44,370
+الاتصال الهوريزنتال. نحو الاتصال الهوريزنتال. نحو
+
+84
+00:07:44,370 --> 00:07:52,190
+الاتصال الهوريزنتال. نحو الاتصال الهوريزنتال. نحو
+
+85
+00:07:54,590 --> 00:07:58,810
+الشابلونة التي رسمتها تمثل ال geometric
+
+86
+00:07:58,810 --> 00:08:03,390
+center، تمام؟
+
+87
+00:08:03,390 --> 00:08:12,200
+It's known as the geometric center or Boxing Center.
+
+88
+00:08:12,200 --> 00:08:17,480
+يعني ماذا المسمّيان؟ يا نسمّيها Boxing Center أو
+
+89
+00:08:17,480 --> 00:08:21,820
+نسمّيها ماذا؟ Geometric Center. طيب، الآن لو... لو
+
+90
+00:08:21,820 --> 00:08:26,020
+قلنا أن هذه عبارة عن Boxing Center، إذن هي ماذا
+
+91
+00:08:26,020 --> 00:08:31,680
+تمثل؟ Boxing System، صحيح أم لا؟ لكن لو قلنا
+
+92
+00:08:31,680 --> 00:08:35,540
+Geometric Center، ممكن تكون Boxing System وممكن
+
+93
+00:08:35,540 --> 00:08:37,020
+تكون Datum System.
+
+94
+00:08:40,820 --> 00:08:46,640
+Of the edge lens، أطراف العدسة،
+
+95
+00:08:49,460 --> 00:08:53,660
+doesn't imply anything about the optical
+
+96
+00:08:53,660 --> 00:09:00,540
+positioning of the lens. يعني هذا المصطلح ليس له أي
+
+97
+00:09:00,540 --> 00:09:07,620
+اعتبار في تحديد، اللي هو ماذا؟ الموضع البصري للعدسة.
+
+98
+00:09:07,620 --> 00:09:12,080
+هذه الجملة، من تستطيع أن تفسرها لي من ناحية عملية
+
+99
+00:09:12,080 --> 00:09:14,860
+عملية ولها تطبيقات.
+
+100
+00:09:17,770 --> 00:09:21,290
+أنه عندنا ال Geometric Center، طبعاً باستثناء
+
+101
+00:09:21,290 --> 00:09:27,650
+إيرانياً، ال Boxing System، تمام. هو أو عفواً، ال
+
+102
+00:09:27,650 --> 00:09:31,110
+Geometric Center في ال Boxing System، ما فيه أي
+
+103
+00:09:31,110 --> 00:09:35,570
+اعتبار له من ناحية ال Optical Positioning. يعني
+
+104
+00:09:35,570 --> 00:09:40,610
+ليس له اعتبار في موضع العدسة. تفضلي. لأن العدسة، نحن
+
+105
+00:09:40,610 --> 00:09:44,750
+نقول لها Decentration، فلا تكون العدسة
+
+106
+00:09:47,940 --> 00:09:55,040
+طيب، أعطيني مثالاً، هاه.
+
+107
+00:09:55,040 --> 00:10:05,700
+أعطِينا مثالاً ووضحِ لنا النقطة هذه، تمام.
+
+108
+00:10:05,700 --> 00:10:15,240
+فلنعمل buy to lift لكي تظهر للجميع، تمام، هاه.
+
+109
+00:10:16,320 --> 00:10:20,100
+يعني، هي ال geometric center، ممكن تكون، يعني إذا كان
+
+110
+00:10:20,100 --> 00:10:24,080
+المريض ليس لديه خيارات، تكون هي نفسها ال
+
+111
+00:10:24,080 --> 00:10:31,060
+optical center. ليس شرطاً، صحيح؟ ليس شرطاً، ممتازة. لماذا؟ هي
+
+112
+00:10:31,060 --> 00:10:35,080
+تساعدك، هي نحن يكون فيه decentralization. ممتازة.
+
+113
+00:10:35,080 --> 00:10:40,990
+هو غالباً يكون فيه decentralization. لماذا طيب؟ ممكن
+
+114
+00:10:40,990 --> 00:10:45,230
+يكون غير مقصود، الأشياء أو يعني، تكون عندما يرى العالم
+
+115
+00:10:45,230 --> 00:10:48,790
+صورة أو يكون مقصوداً لتصحيح ال... بريزماتك إيفكت.
+
+116
+00:10:48,790 --> 00:10:52,970
+بريزماتك إيفكت، بريزماتك إيفكت، بريزماتك إيفكت. طيب، ممكن
+
+117
+00:10:52,970 --> 00:10:57,170
+أن أقوم بعمل decentralization لعدم، اللي هو
+
+118
+00:10:57,170 --> 00:11:02,950
+حدوث أي بريزماتك إيفكت. هاه.
+
+119
+00:11:02,950 --> 00:11:06,790
+أعمل decentralization، لو كان لديه أصلاً مشكلة،
+
+120
+00:11:07,860 --> 00:11:11,700
+تمام. بعيداً عن ال إسكوينت، ما أبدأ أخوض فيه الآن أنا،
+
+121
+00:11:11,700 --> 00:11:15,480
+شخص طبيعي، تمام. ممكن أعمله
+
+122
+00:11:15,480 --> 00:11:20,780
+decentralization بدون أن يكون لديه أي type of
+
+123
+00:11:20,780 --> 00:11:25,680
+إسكوينت. أم لا؟ غالباً أنا أقول لك، ابن، فسّري لي
+
+124
+00:11:25,680 --> 00:11:29,660
+إياها. لماذا؟ لأنه تقريباً، يعني، جلبت، اللي هو الفكرة
+
+125
+00:11:29,660 --> 00:11:30,380
+الرئيسية.
+
+126
+00:11:39,500 --> 00:11:43,780
+تمام. طيب، لماذا؟ ما السبب؟ أنا أريد... هي حكت صحيح على
+
+127
+00:11:43,780 --> 00:11:47,340
+الفكرة، لكن أنا أريد why؟ يعني أريد أن تُبرِّري
+
+128
+00:11:47,340 --> 00:11:50,780
+لماذا؟ يمكن في قصّ... قصّ العدسة، نفس الشيء... هو ليس
+
+129
+00:11:50,780 --> 00:11:53,520
+دائماً ال optical center الذي كان في المنتصف. لأ.
+
+130
+00:11:53,520 --> 00:11:58,320
+ليس له علاقة. ليس له علاقة أنه في القص، يعني...
+
+131
+00:11:58,320 --> 00:12:02,560
+تفضلي. بعدها... تفضلي.
+
+132
+00:12:09,020 --> 00:12:14,260
+يعني، نحن جئنا لما... إن شاء الله، تفضلي. ممكن لأن
+
+133
+00:12:14,260 --> 00:12:21,100
+المقصود، هي كلها من زاوية نظر، الفكرة هي
+
+134
+00:12:21,100 --> 00:12:25,880
+أنتم وصلتم للفكرة، لكن أريد توضيح لها. طيب، أنا
+
+135
+00:12:25,880 --> 00:12:32,340
+وضّحت لكم إياها في رسمة مثل هذه، ذكرتوها؟ ممتازة. جئتُ
+
+136
+00:12:32,340 --> 00:12:38,990
+غالباً، عندما أذهبُ لمركز بصريات، يعني، لا أختار إطاراً،
+
+137
+00:12:38,990 --> 00:12:44,030
+هل الإطار هذا يكون موافقاً للـ IBD بتاعي؟ لا، صحيح
+
+138
+00:12:44,030 --> 00:12:49,270
+أم لا؟ يعني، بمعنى آخر، أنه يوجد هناك variation ما
+
+139
+00:12:49,270 --> 00:12:54,050
+بين ال frame PD والـ IBD بتاعي، سنرى كيف. الآن،
+
+140
+00:12:54,050 --> 00:12:59,810
+مثلاً، جاءني شخص على المركز، تمام؟ كان عنده ال IBD
+
+141
+00:12:59,810 --> 00:13:07,290
+62 مليمتراً، okay. قلت له، تفضل، اختر
+
+142
+00:13:07,290 --> 00:13:13,030
+الإطار. اختار الإطار، فوجدنا عنده ال frame PD
+
+143
+00:13:13,030 --> 00:13:17,410
+الذي موجود في الإطار، 72 مليمتراً. الآن،
+
+144
+00:13:17,410 --> 00:13:22,750
+عندنا، لو أعطيناه الإطار هذا بشكل مباشر، ماذا سيحدث
+
+145
+00:13:22,750 --> 00:13:28,280
+عنده؟ بالضبط، اللي هو تأثير منشوري، أي، بمعنى أنه ليس
+
+146
+00:13:28,280 --> 00:13:32,580
+سيكون ال optical center المناسب للعدسة، صحيح؟ فأنا
+
+147
+00:13:32,580 --> 00:13:36,800
+ماذا أفعل؟ أذهب وأعمل Decentration، إزاحة، لكي يكون ال
+
+148
+00:13:36,800 --> 00:13:41,440
+geometric center، تمام، موافقاً لمن؟ للـ IBD بتاعت
+
+149
+00:13:41,440 --> 00:13:46,210
+الشخص، لكي ينظر، اللي هو بشكل ماذا؟ واضح. طيب، هل هذا
+
+150
+00:13:46,210 --> 00:13:51,230
+الشخص لديه squint؟ لا، شخص طبيعي. لذلك،
+
+151
+00:13:51,230 --> 00:13:54,810
+نفعل، مثلاً، لو كان الفرق عشرة، نفعل خمسة
+
+152
+00:13:54,810 --> 00:13:57,430
+decentralization لليمين، وخمسة decentralization
+
+153
+00:13:57,430 --> 00:14:04,230
+لمن؟ لليسار، لكي نحصل على geometric center مناسب،
+
+154
+00:14:04,230 --> 00:14:09,930
+تمام، و100% لتجنب a prismatic effect للمريض.
+
+155
+00:14:09,930 --> 00:14:10,570
+patient.
+
+156
+00:14:13,650 --> 00:14:19,050
+فهي لا تعني شيئاً، ال Boxing Center أو ال Geometric
+
+157
+00:14:19,050 --> 00:14:23,190
+Center، لا تعني أي شيء في موضوع من؟ العدسة
+
+158
+00:14:23,190 --> 00:14:26,150
+Positioning، في موضع العدسة، بينما الذي أعنيه لمن؟
+
+159
+00:14:26,150 --> 00:14:31,010
+هو ال Frame PD بتاع الإطار، بالإضافة لمن؟ للـ IBD
+
+160
+00:14:31,010 --> 00:14:37,070
+من؟ من لا يفهم النقطة هذه؟ واضحة أم لا؟ يعني، الآن
+
+161
+00:14:37,070 --> 00:14:43,590
+عندنا ال IBD، اللي هي ال Intrapupillary distance،
+
+162
+00:14:43,590 --> 00:14:53,790
+يساوي 62 مليمتراً، تمام؟ وعندنا ال frame PD يساوي 72
+
+163
+00:14:53,790 --> 00:15:00,710
+مليمتراً، okay. الآن، أنا أريد أن أفعل ماذا؟ عملية توافق ما بين
+
+164
+00:15:00,710 --> 00:15:06,220
+ال frame PD وال IBD. من أصغر؟ ال IBD. إذاً أريد أن أفعل
+
+165
+00:15:06,220 --> 00:15:10,500
+Decentration لمن؟ للداخل، لكي أحصل على اللي هو ماذا؟
+
+166
+00:15:10,500 --> 00:15:14,700
+أنه ال prismatic effect تكون، اللي هو to avoid
+
+167
+00:15:14,700 --> 00:15:18,900
+ال prismatic effect للمريض، وأيضاً أن تكون ال
+
+168
+00:15:18,900 --> 00:15:23,380
+geometric center ملائمة لمن؟ لل optical center.
+
+169
+00:15:23,380 --> 00:15:30,200
+طبعاً، بالمناسبة، ال boxing center أو ال geometric
+
+170
+00:15:30,200 --> 00:15:45,700
+center، هي تعتبر ماذا؟ reference point
+
+171
+00:15:45,700 --> 00:15:49,520
+for
+
+172
+00:15:49,520 --> 00:16:00,320
+boxing system.
+
+173
+00:16:16,720 --> 00:16:21,740
+طيب، الآن أنا أتحدث عن موضوع اللي هو ال size، الحجم.
+
+174
+00:16:21,740 --> 00:16:27,660
+طبعاً، عندما نتحدث عن size، سواء ال eye size أو ال frame
+
+175
+00:16:27,660 --> 00:16:34,900
+size، تمام. The size of the lens is the length and
+
+176
+00:16:34,900 --> 00:16:40,960
+depth. طيب، إذا أنا أتحدث عن length، إذاً هو يمثل من؟ ال
+
+177
+00:16:40,960 --> 00:16:47,200
+a dimension. يعني، بمعنى، اللي هو ال horizontal، okay.
+
+178
+00:16:47,200 --> 00:16:52,880
+and depth، العمق، يمثل من؟ ال vertical line أو ال b
+
+179
+00:16:52,880 --> 00:16:58,780
+اللي هو b dimension. إذاً، المرحلة الثانية عندنا ال a
+
+180
+00:16:58,780 --> 00:17:02,380
+dimension،
+
+1
+
+223
+00:20:51,280 --> 00:20:56,300
+considerably from the a dimension. نرجع للصورة، وين
+
+224
+00:20:56,300 --> 00:21:04,380
+الـ c على الصورة؟
+
+225
+00:21:04,380 --> 00:21:08,560
+أشيري
+
+226
+00:21:08,560 --> 00:21:10,380
+عليها، وين الـ c؟
+
+227
+00:21:15,660 --> 00:21:20,500
+مئـة في المئة، إذا هي إيش حكت؟ من هنا لـ .. اللي هو
+
+228
+00:21:20,500 --> 00:21:27,330
+النقطة هذه. طيب الـ a-dimensional من وين؟ مئة في
+
+229
+00:21:27,330 --> 00:21:31,270
+المئة. الـ rim تعني اللي هو الـ frame، مش نِخربط بينهم
+
+230
+00:21:31,270 --> 00:21:34,970
+مرة ثانية، الـ C dimension من وين كانت؟ من الخط
+
+231
+00:21:34,970 --> 00:21:40,970
+المتقطع، يعني بمعنى آخر بقوله من حافة العدسة قبل ما
+
+232
+00:21:40,970 --> 00:21:44,950
+يصير لها الجروف، يعني قبل ما نعمل لها اللي هو الـ
+
+233
+00:21:44,950 --> 00:21:49,070
+smoothing، تنعيم للعدسة، تمام؟ لحد اللي هو إيش؟ الـ
+
+234
+00:21:49,070 --> 00:21:53,980
+rim. يعني بمعنى آخر، لو أنا حصلت على الـ C dimension
+
+235
+00:21:53,980 --> 00:21:57,960
+بيكون الفرق ما بينه وبين الـ A dimension نص لواحد.
+
+236
+00:21:57,960 --> 00:22:02,980
+من ليه؟ ليش؟ لأنه هنا أخذ من الـ rim لـ الـ rim، يعني
+
+237
+00:22:02,980 --> 00:22:08,040
+من حافة العدسة اليمين لحافة العدسة الشمال، واضح
+
+238
+00:22:08,040 --> 00:22:13,480
+الفكرة؟ إذا هذه الـ A dimension أو الـ I size، لكن الـ
+
+239
+00:22:13,480 --> 00:22:18,800
+C dimension، معنى الكلام من العدسة حافتها لـ الحافة
+
+240
+00:22:18,800 --> 00:22:26,860
+التالية. إذا في هناك اختلاف، كله تمام، ما بين مين؟
+
+241
+00:22:26,860 --> 00:22:30,320
+this can vary considerably from the a dimension.
+
+242
+00:22:30,320 --> 00:22:35,660
+إذا الـ a dimension مختلف عن مين؟ عن الـ c dimension.
+
+243
+00:22:35,660 --> 00:22:41,380
+the c dimension of a lens is seldom used، يعني نادر
+
+244
+00:22:41,380 --> 00:22:44,880
+اللي هو إيه؟ الاستخدام. دائما احنا بنستخدم الـ eye
+
+245
+00:22:44,880 --> 00:22:48,560
+size أو الـ frame size، اللي هو عبارة عن مين؟ الـ a
+
+246
+00:22:48,560 --> 00:22:49,080
+dimension.
+
+247
+00:22:56,730 --> 00:23:01,170
+لكن الآن، احنا لو واحد جاب الـ I size أو جاب الـ
+
+248
+00:23:01,170 --> 00:23:05,670
+frame size، إيش بنفهم؟ اللي هي الـ A dimension، لكن
+
+249
+00:23:05,670 --> 00:23:10,470
+قديما كان يسمّوا الـ I size عبارة عن الـ C letter،
+
+250
+00:23:10,470 --> 00:23:16,120
+لكن احنا ما بنستخدموش الآن. Some people still
+
+251
+00:23:16,120 --> 00:23:21,220
+basically measure the eye size this way لحد الآن.
+
+252
+00:23:21,220 --> 00:23:26,820
+في ناس بيخطئوا في عملية قياس مين؟ الـ a dimension و
+
+253
+00:23:26,820 --> 00:23:30,120
+الـ c dimension، يعني بمعنى آخر أنه ما بيميزوا بين
+
+254
+00:23:30,120 --> 00:23:34,480
+الاثنين. احنا الآن ننسى الـ c dimension و نعتمد فقط
+
+255
+00:23:34,480 --> 00:23:39,620
+على مين؟ الـ a dimension اللي هو المستخدم. The C
+
+256
+00:23:39,620 --> 00:23:43,580
+dimension of a lens shouldn't be confused with the
+
+257
+00:23:43,580 --> 00:23:47,780
+C size of a lens. فهذا عمل إيش؟ عملية إيش؟ مانت
+
+258
+00:23:47,780 --> 00:23:52,080
+confused، تشويش، أنه أنا بدي أعرف هل هذا A dimension
+
+259
+00:23:52,080 --> 00:23:56,200
+ولا C dimension. بسيط الأمر، يمّا أنا بقيس من الـ rim
+
+260
+00:23:56,200 --> 00:24:00,560
+لـ الـ rim، إذا أنا بتكلم I size أو frame size، إذا أنا
+
+261
+00:24:00,560 --> 00:24:04,900
+بتكلم على مين؟ A dimension. لكن يمّا أنا بتكلم على الـ C
+
+262
+00:24:04,900 --> 00:24:08,660
+dimension، أنا بقصد إيش؟ اللي هو قبل الـ rim بتاع
+
+263
+00:24:08,660 --> 00:24:15,020
+الاطار. C size is the circumference. إيش معنى الـ
+
+264
+00:24:15,020 --> 00:24:21,520
+circumference؟ يعني محيط، تمام، of the edged lens. إذا
+
+265
+00:24:21,520 --> 00:24:26,940
+محيط العدسة نفسها، and is sometimes، بعض الأحيان،
+
+266
+00:24:26,940 --> 00:24:33,260
+used to measure accuracy when publishing an old
+
+267
+00:24:33,260 --> 00:24:41,660
+lens size when edging. الآن أنا مثلا عندي نظارة، جبتها
+
+268
+00:24:41,660 --> 00:24:46,880
+مثلا اليمين، وبدي أعمل نفس العدسة وين؟ في الشمال،
+
+269
+00:24:46,880 --> 00:24:51,060
+فمن خلال الـ a dimension، باخد واحد للاتنين، فمقدر
+
+270
+00:24:51,060 --> 00:24:55,060
+أعمل إيه؟ duplicating، يعني مرة ثانية، اللي هو two x
+
+271
+00:24:55,060 --> 00:24:59,080
+أو عدستين، إن الاتنين إيش يكونوا similar، اللي هو
+
+272
+00:24:59,080 --> 00:25:01,780
+ممثلين لبعض، فهمتوا الفكرة؟
+
+273
+00:25:08,180 --> 00:25:16,920
+طيب، عندنا الـ measurement، القياس، in
+
+274
+00:25:16,920 --> 00:25:21,920
+determining the horizontal boxing dimensions of a
+
+275
+00:25:21,920 --> 00:25:26,480
+frame، عشان أنا أحدد قد إيش قيمة اللي هو الـ a
+
+276
+00:25:26,480 --> 00:25:29,660
+dimension. هاي المقصود فيه الـ horizontal boxing
+
+277
+00:25:29,660 --> 00:25:33,760
+dimensions of a frame، يعني الـ a dimension أو
+
+278
+00:25:33,760 --> 00:25:41,080
+بنسميه الـ I size أو الـ frame size. المقارنة تبدأ في
+
+279
+00:25:41,080 --> 00:25:45,720
+الداخل من الجروف على الجانب اليسار. يعني الآن يا
+
+280
+00:25:45,720 --> 00:25:51,660
+جماعة، لو أنت شفت، ديني بالله، العدسة النظارة الآن، أي
+
+281
+00:25:51,660 --> 00:25:58,220
+نظارة، شايفين؟ فيها إيش؟ اللي هو growth، تمام؟ إذا الـ
+
+282
+00:25:58,220 --> 00:26:02,320
+growth هذا، منه المفترض أبدأ، يعني بمعنى آخر، أو هنا
+
+283
+00:26:02,320 --> 00:26:08,000
+عندنا bevel، الـ bevel هذه، تمام؟ من عندها أنه أحسب
+
+284
+00:26:08,000 --> 00:26:12,280
+القيمة. طيب، أنا مش معقوله أنه كل ما أجيب نظارة أروح
+
+285
+00:26:12,280 --> 00:26:16,340
+أفكها بالطريقة هذه، فاحنا إيش بنروح؟ بناخد من اللي
+
+286
+00:26:16,340 --> 00:26:22,380
+هو الـ edge، تمام؟ لـ الـ edge. أيوة، من الـ edge لـ الـ edge
+
+287
+00:26:22,380 --> 00:26:28,320
+لأ، هي اللي ظاهر عندكم، شايفين كيف؟ أعمل هي من هنا
+
+288
+00:26:28,320 --> 00:26:32,840
+لهنا، صح ولا لأ؟ لكن العدسة هالجيت هي وين جاية؟
+
+289
+00:26:32,840 --> 00:26:37,000
+inside، مش جاية لجوة، فبضيف اللي هو نص من اللي من
+
+290
+00:26:37,000 --> 00:26:42,680
+هنا، ونص من اللي من هنا. مرة ثانية، هالجيت باخد
+
+291
+00:26:42,680 --> 00:26:49,500
+القيمة من هنا، هي عندكم، من هنا لهنا، okay.
+
+292
+00:26:51,980 --> 00:26:55,680
+لأ، ممكن آخدها من الحافة، تمام، وأضيف منها النص، و
+
+293
+00:26:55,680 --> 00:26:59,380
+منها النص، يعني 1 ملي إضافة. ليش؟ لأنه أنا فاهم
+
+294
+00:26:59,380 --> 00:27:03,480
+أنه في عندك 1 ملي اللي هي إضافة من الـ pivotal
+
+295
+00:27:03,480 --> 00:27:08,690
+أو الجروف اللي تم إجراءه وين؟ في العدسة. عنا in
+
+296
+00:27:08,690 --> 00:27:13,370
+determining the horizontal boxing dimensions of a
+
+297
+00:27:13,370 --> 00:27:16,530
+frame، اللي هو عبارة عن الـ a dimension. The
+
+298
+00:27:16,530 --> 00:27:20,510
+measurement begins at the inside of the groove on
+
+299
+00:27:20,510 --> 00:27:26,110
+the left side of the imaginary enclosing box. إيش
+
+300
+00:27:26,110 --> 00:27:32,910
+معنى imaginary؟ يعني بمعنى اللي هو وهمي، أو بمعنى
+
+301
+00:27:32,910 --> 00:27:40,000
+اللي هو imagination، اللي هو تخيلي. in closing box and
+
+302
+00:27:40,000 --> 00:27:45,360
+extends، حيميل، horizontally across the lens opening
+
+303
+00:27:45,360 --> 00:27:50,340
+to the farthest part، لأبعد اللي هو جزئية، أو أبعد
+
+304
+00:27:50,340 --> 00:27:54,020
+نقطة، of the groove on the right side of the box.
+
+305
+00:27:54,020 --> 00:27:58,640
+يعني باخدها من أبعد نقطة في اليمين لأبعد نقطة في
+
+306
+00:27:58,640 --> 00:28:02,660
+الشمال. هذه بتمثل اللي هو قيمة مين؟ الـ a dimension
+
+307
+00:28:02,660 --> 00:28:07,620
+أو الـ horizontal dimension. بالإضافة، إني بضيف هنا نص
+
+308
+00:28:07,620 --> 00:28:11,660
+ملي لكل اللي هو part، عشان يكون، يعني plus one ملي
+
+309
+00:28:11,660 --> 00:28:19,320
+إضافة لها. remember، بدنا نذكر، the a dimension is
+
+310
+00:28:19,320 --> 00:28:24,860
+the width of the enclosing box، يعني بمعنى أنه بمثل
+
+311
+00:28:24,860 --> 00:28:30,640
+اللي هو إيش؟ العرض، أو اللي هو العرض لمين؟ لقيمة اللي
+
+312
+00:28:30,640 --> 00:28:36,060
+هو الـ enclosing box. يعني بيمثل الـ eye size أو بيمثل
+
+313
+00:28:36,060 --> 00:28:41,640
+اللي هو الـ eye frame. it's not the width of the
+
+314
+00:28:41,640 --> 00:28:46,200
+lens at the middle of the shape. إيش المقصود فيها؟
+
+315
+00:28:54,660 --> 00:28:58,700
+مئة في المئة. ونقطة ثانية، لو أنا مثلا رحت جبت من
+
+316
+00:28:58,700 --> 00:29:03,600
+الحافة، تمام، لـ اللي هو الـ center، okay. ما ينفعش أنا
+
+317
+00:29:03,600 --> 00:29:07,460
+أروح أضربها في اثنين. ليش؟ لأن ممكن في بعض الأحيان
+
+318
+00:29:07,460 --> 00:29:12,220
+في إطارات بيكون الـ dimension بتاعتهم مختلف، يعني مش
+
+319
+00:29:12,220 --> 00:29:16,060
+متساوي من الـ right edge ومن الـ left edge، متساويين
+
+320
+00:29:16,060 --> 00:29:20,860
+معاه؟ يعني الآن، لو أنا أخذت للنص، يعني ما ينفعش أروح
+
+321
+00:29:20,860 --> 00:29:25,630
+أعمل إيش؟ اللي هو ضرب اثنين. لأنه ممكن في بعض اللي هو
+
+322
+00:29:25,630 --> 00:29:29,350
+الأشكال من الإطارات، هيكون الجزء هذا مختلف عن
+
+323
+00:29:29,350 --> 00:29:32,750
+الجزء هذا، من حيث اللي هو الـ dimension، يعني بمعنى
+
+324
+00:29:32,750 --> 00:29:33,990
+آخر، مش متساويين.
+
+325
+00:29:42,500 --> 00:29:48,280
+في عندنا the effective diameter of a lens is found
+
+326
+00:29:48,280 --> 00:29:53,400
+by doubling the distance from the geometric center
+
+327
+00:29:53,400 --> 00:29:59,040
+of the lens to the apex of the lens bevel farthest
+
+328
+00:29:59,040 --> 00:30:03,180
+from it. شايفين
+
+329
+00:30:03,180 --> 00:30:10,900
+الآن، عندنا من النقطة هذه، تمام، لأبعد نقطة وين؟ في
+
+330
+00:30:10,900 --> 00:30:16,010
+اللي هو الـ frame، تمام؟ هذه بتمثل مين؟ الـ effective
+
+331
+00:30:16,010 --> 00:30:22,650
+diameter. يعني الآن أنا باخد الإطار، أبعد نقطة من
+
+332
+00:30:22,650 --> 00:30:26,730
+هنا لأبعد نقطة هنا، هذه بتمثل إيش؟ الـ effective
+
+333
+00:30:26,730 --> 00:30:34,470
+diameter، okay. يعني بشوف أبعد نقطتين موجودة. إذا the
+
+334
+00:30:34,470 --> 00:30:38,930
+effective diameter، اللي هو عبارة عن الـ ED، of a
+
+335
+00:30:38,930 --> 00:30:45,840
+lens، للعدسة، is found، تم اللي هو إيجاده، by doubling
+
+336
+00:30:45,840 --> 00:30:51,680
+يعني بمعنى اللي هو ضرب اثنين، the distance from the
+
+337
+00:30:51,680 --> 00:30:57,460
+geometric center of the lens to the apex of the
+
+338
+00:30:57,460 --> 00:31:02,300
+lens bevel farthest from it. يعني النقطة من اللي هو
+
+339
+00:31:02,300 --> 00:31:06,920
+أبعد نقطة لحد اللي هو مين؟ الـ bevel الخاصة في
+
+340
+00:31:06,920 --> 00:31:07,440
+العدسة.
+
+341
+00:31:12,010 --> 00:31:16,390
+يعني المسافة ما بين الـ Geometric Center أو الـ
+
+342
+00:31:16,390 --> 00:31:21,450
+Boxing Center، لـ أبعد نقطة موجودة وين؟ في
+
+343
+00:31:21,450 --> 00:31:25,070
+داخل اللي هو إطار العدسة. بعدين باخد من الـ
+
+344
+00:31:25,070 --> 00:31:28,790
+Geometric Center لأبعد نقطة موجودة وين؟ في اللي هو
+
+345
+00:31:28,790 --> 00:31:32,930
+الـ Bottom Part. هذا بتمثل الـ Effective Diameter.
+
+346
+00:31:32,930 --> 00:31:39,450
+طيب، الآن إيش الوظيفة الأساسية لقياس الـ Effective
+
+347
+00:31:39,450 --> 00:31:44,480
+Diameter أو الـ ED؟ طبعا الـ Effective Diameter هذه
+
+348
+00:31:44,480 --> 00:31:49,120
+مهمة كتير. الآن أنا عندي عدسة لم يتم اللي هو قصها،
+
+349
+00:31:49,120 --> 00:31:52,860
+تمام؟ بدي أعرف إن هذا الـ Diameter بتاع العدسة
+
+350
+00:31:52,860 --> 00:31:58,360
+ممكن أنه يكون مناسب للإطار ولا لأ، واضح الفكرة؟
+
+351
+00:31:58,360 --> 00:32:01,580
+فبنعمل عملية simulation. إيش المقصود في الـ
+
+352
+00:32:01,580 --> 00:32:05,860
+simulation؟ أنه أنا بشوف هل هذا بينفع لإطار زي هيك
+
+353
+00:32:05,860 --> 00:32:09,720
+ولا لأ. يعني الآن مثلا أنا عندي عدسة قطرها خمسة
+
+354
+00:32:09,720 --> 00:32:13,730
+وخمسين. طيب، لو إجينا لـ effective diameter و
+
+355
+00:32:13,730 --> 00:32:20,910
+لإجيناها، قيمتها غير مناسبة لقطر خمسة وخمسين، إذا
+
+356
+00:32:20,910 --> 00:32:25,250
+ما ينفعش أنا أقصها لهذا الإطار؟ واضح الفكرة؟ يعني
+
+357
+00:32:25,250 --> 00:32:29,050
+الآن أنا عندي إطار أطفال، بالفعل، إيش أجيب له عدسة
+
+358
+00:32:29,050 --> 00:32:33,070
+قطرها سبعين أو خمسة وسبعين مليمتر؟ هيك أنا لو عملت
+
+359
+00:32:33,070 --> 00:32:37,790
+هذه الطريقة، ممكن أنه أنا بأثر على مين؟ على الـ
+
+360
+00:32:37,790 --> 00:32:41,490
+optical center للعدسة. ونفس الحاجة لو كان صغير
+
+361
+00:32:41,490 --> 00:32:49,260
+بالعكس، okay. فبيطلع منه مصطلح اسمه... هذا الاختصار يساعد
+
+362
+00:32:49,260 --> 00:32:57,460
+في تحديد أقل عدسة بلانك من أين يمكن تقطيع العدسة.
+
+363
+00:32:57,460 --> 00:33:05,060
+يعني الآن بعمل تحديث، تمام، لقد إيش حجم العدسة اللي
+
+364
+00:33:05,060 --> 00:33:09,820
+مطلوبة عشان تكون مناسبة لهذا الإطار. في عندنا الـ
+
+365
+00:33:09,820 --> 00:33:17,090
+minimum blank size. Okay. هذا لازم نحسبه دائما. أي
+
+366
+00:33:17,090 --> 00:33:20,690
+عدسة بدنا نقصها، لازم نحسب لها الـ minimum blank
+
+367
+00:33:20,690 --> 00:33:25,810
+size. إيش بيساوي؟ الـ effective diameter اللي هي
+
+368
+00:33:25,810 --> 00:33:29,670
+قلنا من الـ geometric center لأبعد نقطة، ومن الـ
+
+369
+00:33:29,670 --> 00:33:34,790
+geometric center لـ الـ pivotal للعدسة، okay، زائد
+
+370
+00:33:34,790 --> 00:33:39,810
+اثنين ملي decentration. هالجيت مش احنا قلنا إن
+
+371
+00:33:39,810 --> 00:33:46,780
+العدسة بتكون للداخل، صح ولا لأ؟ بضل، أو جروف، تمام،
+
+372
+00:33:46,780 --> 00:33:51,460
+فبتكون inside the frame. هذي قد إيش بتمثل؟ اثنين ملي.
+
+373
+00:33:51,460 --> 00:34:01,800
+يعني بمعنى إزاحة. إذا اثنين ملي decentration، زائد
+
+374
+00:34:02,360 --> 00:34:06,780
+اثنين ملي. هذه دائما باخدها في القص. مش احنا حكينا
+
+375
+00:34:06,780 --> 00:34:11,020
+المرة الماضية، أنه يمّا احنا بدنا نقص، لازم إن يكون
+
+376
+00:34:11,020 --> 00:34:15,640
+عملية القص أكثر من القيمة المطلوبة. ليش؟ لأن لو
+
+377
+00:34:15,640 --> 00:34:20,080
+كانت العدسة مثلا لوز، هتلاقيها تفلت بسرعة، صح ولا
+
+378
+00:34:20,080 --> 00:34:24,940
+لا؟ يعني زي توي كانت لوز العدسة، تمام؟ فلازم أنا
+
+379
+00:34:24,940 --> 00:34:31,090
+أحط اثنين ملي. هذه إيش تعتبر؟ إنّه بقدر أتحكم فيها
+
+380
+00:34:31,090 --> 00:34:36,870
+يعني بمعنى آخر، إن تكون ملائمة لعملية القص. يعني الـ
+
+381
+00:34:36,870 --> 00:34:40,630
+2 ملي عشان ما تخليش العدسة lose، يعني تسقط، اللي هو
+
+382
+00:34:40,630 --> 00:34:44,890
+بسرعة من مكانها. فعندنا الـ minimum blank size
+
+383
+00:34:44,890 --> 00:34:47,690
+بيساوـي الـ effective diameter زائد 2 ملي، الـ
+
+384
+00:34:47,690 --> 00:34:52,520
+decentration، زائد 2 ملي. من خلال الـ Effective
+
+385
+00:34:52,520 --> 00:34:58,760
+Diameter، أنا بِعطيني اللي هو indicator، مؤشر، إنه
+
+386
+00:34:58,760 --> 00:35:03,660
+العدسة كيف هيكون شكلها، يمّا أنا بدي أقصها وأحطها
+
+387
+00:35:03,660 --> 00:35:09,540
+وين؟ في داخل الإطار. طيب، نوقف إن شاء الله للنقطة هذه،
+
+388
+00:35:09,540 --> 00:35:13,060
+وفي المحاضرة القادمة بنكمل. أعطيكم العافية.
+
diff --git a/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE_postprocess.srt b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..b2f98b4c5d293b8178857527608d5df5db68968a
--- /dev/null
+++ b/PL9fwy3NUQKwYIo6KwkmAPEuxXXIrV69PS/jifXa8YlCgE_postprocess.srt
@@ -0,0 +1,1552 @@
+1
+00:00:21,040 --> 00:00:23,660
+بسم الله الرحمن الرحيم، السلام عليكم ورحمة الله
+
+2
+00:00:23,660 --> 00:00:27,900
+وبركاته، and a very good afternoon to all of you
+
+3
+00:00:29,160 --> 00:00:34,700
+هنبدأ ان شاء الله بال another system اللي متمثل
+
+4
+00:00:34,700 --> 00:00:40,060
+بال boxing system تمام؟ اذا the boxing system
+
+5
+00:00:40,060 --> 00:00:46,120
+improved on the foundation provided by the datum
+
+6
+00:00:46,120 --> 00:00:52,980
+system اذا هو عملية تحسين لل structure اللي خاص في
+
+7
+00:00:52,980 --> 00:00:57,370
+مين؟ في ال datum systemيعني بمعنى آخر هو update
+
+8
+00:00:57,370 --> 00:01:00,990
+تحديث لمين ل ال datum system
+
+9
+00:01:04,730 --> 00:01:10,890
+The datum system used two horizontal lines, one
+
+10
+00:01:10,890 --> 00:01:14,870
+against the top and the other against the bottom
+
+11
+00:01:14,870 --> 00:01:20,350
+of the lens سابقا اخدنا ال datum system و حكينا
+
+12
+00:01:20,350 --> 00:01:26,230
+انه بتكون من اللي هو two lines طبعا عندنا ال
+
+13
+00:01:26,230 --> 00:01:32,270
+horizontal اللي هيكون محاذي لل top partو أيضا
+
+14
+00:01:32,270 --> 00:01:36,130
+عندنا ال lower اللي بيكون محادي لمين لل bottom
+
+15
+00:01:36,130 --> 00:01:41,430
+part okay فهدول التنين إيش بنسميهم horizontal line
+
+16
+00:01:41,430 --> 00:01:54,350
+طبعا هذا لل top part okay وهنا عندنا لل bottom
+
+17
+00:01:54,350 --> 00:01:57,230
+part
+
+18
+00:02:03,050 --> 00:02:09,310
+The boxing system kept these two horizontal lines
+
+19
+00:02:09,310 --> 00:02:16,210
+and added two vertical lines اذا هو بيعمل محافظة
+
+20
+00:02:16,210 --> 00:02:21,530
+على ال horizontal line ال top و على ال another
+
+21
+00:02:21,530 --> 00:02:25,970
+horizontal line المتعلق في مين في ال bottom ولكن
+
+22
+00:02:25,970 --> 00:02:31,180
+جالي بضيف ايش a new horizontal lineالـ new
+
+23
+00:02:31,180 --> 00:02:35,180
+horizontal line وين بتكون؟ Vertical lines يعني
+
+24
+00:02:35,180 --> 00:02:40,940
+باتجاه ال right و باتجاه ال left واضحة؟ طبعا هذا
+
+25
+00:02:40,940 --> 00:02:45,780
+ال datum لكن في ال boxing هيكون في عندنا إضافة ل
+
+26
+00:02:45,780 --> 00:02:50,520
+ال two horizontal lines و two vertical lines يعني
+
+27
+00:02:50,520 --> 00:02:55,460
+كمان شوية هنشوف كيف هيكون شكله لل boxing system
+
+28
+00:02:57,540 --> 00:03:03,640
+These vertical lines are placed against right and
+
+29
+00:03:03,640 --> 00:03:09,360
+left edges of the lens إذا هتكون عبارة عن خطوط
+
+30
+00:03:09,360 --> 00:03:15,400
+عمودية محاطة باليمين واليسار من اللي هو من أطراف
+
+31
+00:03:15,400 --> 00:03:22,700
+العدسة شايفين؟ زي الشكل هذا، هاي عبارة عن إيش؟
+
+32
+00:03:22,700 --> 00:03:28,440
+اللي هو two vertical lines في نقطة مهمة كتيرانه
+
+33
+00:03:28,440 --> 00:03:33,340
+انا لما بدي اجي اعمل boxing system لابد انه يكون
+
+34
+00:03:33,340 --> 00:03:39,510
+ال top partو ال bottom part و ال right part و ال
+
+35
+00:03:39,510 --> 00:03:44,150
+left part الأربعة متساوين كيف هدت من خلال اللي هي
+
+36
+00:03:44,150 --> 00:03:47,810
+المصطرة يعني الآن هتاخدوا ان شاء الله في المعمل
+
+37
+00:03:47,810 --> 00:03:52,710
+كيف ترسموا أول حاجة الشابلونة تمام بعد ما ترسميها
+
+38
+00:03:52,710 --> 00:03:57,750
+بتجيبي مصطرة فبتعملي اللي هو marking تعليم لل
+
+39
+00:03:57,750 --> 00:04:01,590
+horizontal lines و ال vertical linesكل هيتم لازم
+
+40
+00:04:01,590 --> 00:04:05,190
+يكونوا متساويين من حيث إيش اللي هو ال score أو من
+
+41
+00:04:05,190 --> 00:04:13,070
+حيث اللي هو التدريج All four
+
+42
+00:04:13,070 --> 00:04:18,510
+lines form a box around the lens إذا عندنا الأربع
+
+43
+00:04:18,510 --> 00:04:21,330
+خطوط هيكونوا حوالين مين؟ العدسة
+
+44
+00:04:29,050 --> 00:04:34,330
+Horizontal Midline الـ Horizontal Midline هذا وين
+
+45
+00:04:34,330 --> 00:04:40,070
+متوفر؟ في الـ Datum System صح ولا لأ؟ الآن هنشوف
+
+46
+00:04:40,070 --> 00:04:45,110
+الـ Reflection بتاعه في الـ Boxing System يعني
+
+47
+00:04:45,110 --> 00:04:49,870
+بدنا نشوف الآن هل الـ Boxing System بيحافظ على الـ
+
+48
+00:04:49,870 --> 00:04:56,250
+Horizontal Midline ولا بلغيه؟ إيش رأيكم؟ إيش رأي
+
+49
+00:04:56,250 --> 00:05:01,280
+كهذا؟ بيحافظ عليه ولا بلغيه؟بحافظ عليه هو ايش
+
+50
+00:05:01,280 --> 00:05:04,680
+المقصود بالـhorizontal midline؟ هو عبارة عن الـ
+
+51
+00:05:04,680 --> 00:05:08,280
+datum line صح ولا لأ؟ يعني الخط اللي بيفصل ما بين
+
+52
+00:05:08,280 --> 00:05:12,180
+ايش ال half way ال upper و ال half way mean اللي
+
+53
+00:05:12,180 --> 00:05:18,400
+هو ال lower اذا there is a horizontal line اذا
+
+54
+00:05:18,400 --> 00:05:25,040
+الخط ايش بيكون؟ أفقي okay half way انه بيعمل عملية
+
+55
+00:05:25,040 --> 00:05:30,940
+فصل او اللي هو تنصيف خلينا نقولbetween the top and
+
+56
+00:05:30,940 --> 00:05:35,600
+bottom of the lens إذا بنصف الجزء العلوي و أيضا
+
+57
+00:05:35,600 --> 00:05:40,360
+اللي هو ال bottom part الخاص في اللي هو النظام
+
+58
+00:05:40,360 --> 00:05:45,980
+okay in the datum system في نظام ال datum إيش كنا
+
+59
+00:05:45,980 --> 00:05:53,620
+نسميه datum line يعني هذا الخط المسمى بتاعه datum
+
+60
+00:05:53,620 --> 00:05:57,260
+line
+
+61
+00:05:58,910 --> 00:06:02,750
+Okay this
+
+62
+00:06:02,750 --> 00:06:08,490
+name continues to be used يعني هذا المسمى ما زال
+
+63
+00:06:08,490 --> 00:06:12,750
+اللي هو مستمر في عملية الاستخدام وين؟ في ال boxing
+
+64
+00:06:12,750 --> 00:06:19,470
+system however مع ذلك in the boxing system this
+
+65
+00:06:19,470 --> 00:06:24,610
+line is more commonly يعني الأكتر اللي هو شيوعا
+
+66
+00:06:25,270 --> 00:06:31,630
+refer to as the horizontal midline
+
+67
+00:06:33,350 --> 00:06:38,170
+أو الـ 180 degree line يعني الآن انا لو قلتلك اعمل
+
+68
+00:06:38,170 --> 00:06:43,290
+ال boxing system و حكيتلك حط ال 180 degree line
+
+69
+00:06:43,290 --> 00:06:46,130
+على طول ايش بتعرفي؟ هو عبارة عن ال horizontal
+
+70
+00:06:46,130 --> 00:06:50,190
+midline لو قلتلك مثلا حط ال horizontal midline على
+
+71
+00:06:50,190 --> 00:06:53,330
+طول بعرف ان هو عبارة عن مين؟ عن ال datum line اللي
+
+72
+00:06:53,330 --> 00:06:58,300
+انا خدته فيه ال datum systemتمام؟ ايش الهدف منه؟
+
+73
+00:06:58,300 --> 00:07:02,560
+انه يعمل عملية تنصيف ما بين ال upper part و ال
+
+74
+00:07:02,560 --> 00:07:10,560
+bottom part طيب
+
+75
+00:07:10,560 --> 00:07:18,020
+عندنا جزئية ال geometric center طبعا ال geometric
+
+76
+00:07:18,020 --> 00:07:23,680
+center لو كان عندى دائرة هي بتمثل ايش؟ نصف قطر
+
+77
+00:07:23,680 --> 00:07:31,330
+الدائرةالسينتر اللينز هو النقطة على الاتصال
+
+78
+00:07:31,330 --> 00:07:37,410
+الهوريزنطالي نحو نحو الاتصال الهوريزنطالي نحو
+
+79
+00:07:37,410 --> 00:07:38,390
+الاتصال الهوريزنطالي نحو الاتصال الهوريزنطالي نحو
+
+80
+00:07:38,390 --> 00:07:39,550
+الاتصال الهوريزنطالي نحو الاتصال الهوريزنطالي نحو
+
+81
+00:07:39,550 --> 00:07:42,930
+الاتصال الهوريزنطالي نحو
+
+82
+00:07:42,930 --> 00:07:44,310
+الاتصال الهوريزنطالي نحو الاتصال الهوريزنطالي نحو
+
+83
+00:07:44,310 --> 00:07:44,370
+الاتصال الهوريزنطالي نحو الاتصال الهوريزنطالي نحو
+
+84
+00:07:44,370 --> 00:07:52,190
+الاتصال الهوريزنطالي نحو الاتصال الهوريزنطالي نحو
+
+85
+00:07:54,590 --> 00:07:58,810
+الشبلونة اللى انا رسمتها بتمثل الـ geometric
+
+86
+00:07:58,810 --> 00:08:03,390
+center تمام؟
+
+87
+00:08:03,390 --> 00:08:12,200
+it's known as the geometric centerأو Boxing Center
+
+88
+00:08:12,200 --> 00:08:17,480
+يعني إيه المسميين؟ يا بنسميها Boxing Center أو
+
+89
+00:08:17,480 --> 00:08:21,820
+بنسميها ايه؟ Geometric Center طيب، الآن لو .. لو
+
+90
+00:08:21,820 --> 00:08:26,020
+قلنا إن هذه عبارة عن Boxing Center إذن هي إيش
+
+91
+00:08:26,020 --> 00:08:31,680
+بتمثل؟ Boxing System صح ولا لأ؟ لكن لو قلنا
+
+92
+00:08:31,680 --> 00:08:35,540
+Geometric Center ممكن تكون Boxing System وممكن
+
+93
+00:08:35,540 --> 00:08:37,020
+تكون Datum System
+
+94
+00:08:40,820 --> 00:08:46,640
+Of the edge lens، الأطراف العدسة
+
+95
+00:08:49,460 --> 00:08:53,660
+doesn't imply anything about the optical
+
+96
+00:08:53,660 --> 00:09:00,540
+positioning of the lens يعني هذا المصطلح ليس له أي
+
+97
+00:09:00,540 --> 00:09:07,620
+اعتبار في تحديد اللي هو إيش الموضع البصري للعدسة
+
+98
+00:09:07,620 --> 00:09:12,080
+هذه الجملة مين بتقدر تفسرليها من ناحية practical
+
+99
+00:09:12,080 --> 00:09:14,860
+عملية وإلها علامتين
+
+100
+00:09:17,770 --> 00:09:21,290
+انه عندنا الـ Geometric Center طبعا باستثناء
+
+101
+00:09:21,290 --> 00:09:27,650
+ايرانيا الـ Boxing System تمام هو او عفوا الـ
+
+102
+00:09:27,650 --> 00:09:31,110
+Geometric Center في الـ Boxing System مافيش فيه اي
+
+103
+00:09:31,110 --> 00:09:35,570
+اعتبار لها من ناحية الـ Optical Positioning يعني
+
+104
+00:09:35,570 --> 00:09:40,610
+مالهاش اعتبار في موضع العدسة فضلي لأن العدسة احنا
+
+105
+00:09:40,610 --> 00:09:44,750
+بيقولها Decentration فمتكونش العدسة
+
+106
+00:09:47,940 --> 00:09:55,040
+طيب تديني مثال اه
+
+107
+00:09:55,040 --> 00:10:05,700
+دينا مثال و واضحيننا النقطة هذه تمام
+
+108
+00:10:05,700 --> 00:10:15,240
+خلينا نعمل buy to lift عشان تظهر للجميع تمام اه
+
+109
+00:10:16,320 --> 00:10:20,100
+يعني هي ال geometric center ممكن تكون يعني إذا كان
+
+110
+00:10:20,100 --> 00:10:24,080
+المريض ماعندوش حوالي option بتكون هي نفسها ال
+
+111
+00:10:24,080 --> 00:10:31,060
+optical center مش شرط، صح؟ مش شرط، ممتازة، ليش؟ هي
+
+112
+00:10:31,060 --> 00:10:35,080
+بتساعدك هي احنا بيكون فيه decentralization ممتازة،
+
+113
+00:10:35,080 --> 00:10:40,990
+هو غالبا بيكون فيه decentralization، ليش طيب؟ممكن
+
+114
+00:10:40,990 --> 00:10:45,230
+يكون مش مقصود الأشياء او يعني تكون لما علم العالم
+
+115
+00:10:45,230 --> 00:10:48,790
+صورة أو يكون مقصود لتصحيح ال .. بريزماتك افكت
+
+116
+00:10:48,790 --> 00:10:52,970
+بريزماتك افكت بريزماتك افكت بريزماتك افكت طيب ممكن
+
+117
+00:10:52,970 --> 00:10:57,170
+ان انا اكون اعمل decentralization لعدم اللي هو
+
+118
+00:10:57,170 --> 00:11:02,950
+حدوث اي بريزماتك افكت اه
+
+119
+00:11:02,950 --> 00:11:06,790
+بعمل decentralization لو يكون هو اصلا عنده حوارب
+
+120
+00:11:07,860 --> 00:11:11,700
+تمام بعيدا عن ال اسكوينت مابدأ اخوض فيه الآن انا
+
+121
+00:11:11,700 --> 00:11:15,480
+انسان normal subject تمام ممكن اعمله
+
+122
+00:11:15,480 --> 00:11:20,780
+decentralization بدون ما يكون عنده اي type of
+
+123
+00:11:20,780 --> 00:11:25,680
+اسكوينت ولا لأ غالبا انا بقولك ابن اعمل فسريلي
+
+124
+00:11:25,680 --> 00:11:29,660
+اياها ليش؟ لأنه تقريبا يعني جابت اللي هو الفكرة
+
+125
+00:11:29,660 --> 00:11:30,380
+الرئيسية
+
+126
+00:11:39,500 --> 00:11:43,780
+تمام طب ليش؟ شو السبب؟ انا بدي .. هي حكت صح على
+
+127
+00:11:43,780 --> 00:11:47,340
+فكرة بس انا بدي ان why؟ يعني بدي تعملي justify
+
+128
+00:11:47,340 --> 00:11:50,780
+ليش؟ يمكن في قص .. قص العدسة نفس الحاجة .. هو مش
+
+129
+00:11:50,780 --> 00:11:53,520
+دايما ال optical center اللي كان في المنتصف لأ
+
+130
+00:11:53,520 --> 00:11:58,320
+مالهاش علاقة مالهاش علاقة انه في القص يعني ..
+
+131
+00:11:58,320 --> 00:12:02,560
+تفضلي بعديها .. تفضلي
+
+132
+00:12:09,020 --> 00:12:14,260
+يعني احنا جيت لما .. انشاء الله اتفضلي ممكن لان
+
+133
+00:12:14,260 --> 00:12:21,100
+المصيد يقرأ هى كله من ذراعه تحت الفكرة هى
+
+134
+00:12:21,100 --> 00:12:25,880
+انتوا واصليه للفكرة بس بدي توضيح لها طيب انا
+
+135
+00:12:25,880 --> 00:12:32,340
+وضحتلكم إياها في رسمة زي هيك ذكرتوها؟ ممتازة هجيت
+
+136
+00:12:32,340 --> 00:12:38,990
+غالبا يما انا بروح لمركز بصرياتيعني ما بختار إطار،
+
+137
+00:12:38,990 --> 00:12:44,030
+هل الإطار هذا بيكون موافق للـ IBD بتاعي؟ لأ، صح
+
+138
+00:12:44,030 --> 00:12:49,270
+ولا لأ؟ يعني بمعنى آخر إنه فيه هناك variation ما
+
+139
+00:12:49,270 --> 00:12:54,050
+بين ال frame PD والـ IBD بتاعي، نشوف كيف، الآن
+
+140
+00:12:54,050 --> 00:12:59,810
+مثلا إجاني شخص على المركز، تمام؟ كان عنده ال IBD
+
+141
+00:12:59,810 --> 00:13:07,290
+62 مليمترOkay قلت له اتفضل اختار
+
+142
+00:13:07,290 --> 00:13:13,030
+القطار اختار القطار لجيه نجدش عنده ال frame بي دي
+
+143
+00:13:13,030 --> 00:13:17,410
+اللي موجود في القطار اتنين و سبعين مليل الان ع
+
+144
+00:13:17,410 --> 00:13:22,750
+كلام روسيا لو ادنا القطار هذا بشكل مباشر ايش هيصير
+
+145
+00:13:22,750 --> 00:13:28,280
+عنده؟بالضبط اللي هو تأثير منشوري، أي بمعنى انه مش
+
+146
+00:13:28,280 --> 00:13:32,580
+هيكون ال optical center المناسب للعدسة، صح؟ فانا
+
+147
+00:13:32,580 --> 00:13:36,800
+إيش بروح بعمل Decentration إزاحة عشان يكون ال
+
+148
+00:13:36,800 --> 00:13:41,440
+geometric center تمام موافقة لمين لل IBD بتاعت
+
+149
+00:13:41,440 --> 00:13:46,210
+الشخصعشان ينظر اللى هو بشكل ايش واضح طيب هل هذا
+
+150
+00:13:46,210 --> 00:13:51,230
+الشخص عنده squint لأ انسان normal subject عشان هيك
+
+151
+00:13:51,230 --> 00:13:54,810
+بنعمل مثلا لو جلنا الفرق عشرة بنعمل خمسة
+
+152
+00:13:54,810 --> 00:13:57,430
+decentralization لل right و خمسة decentralization
+
+153
+00:13:57,430 --> 00:14:04,230
+لمن لل left عشان نحصل على geometric center ملائم
+
+154
+00:14:04,230 --> 00:14:09,930
+تمام و 100% to avoid a prismatic effect for
+
+155
+00:14:09,930 --> 00:14:10,570
+patient
+
+156
+00:14:13,650 --> 00:14:19,050
+فهي لا تعني شيء الـ Boxing Center أو الـ Geometric
+
+157
+00:14:19,050 --> 00:14:23,190
+Center لا تعني إلي أي تشيء في موضوع مين الـ Lens
+
+158
+00:14:23,190 --> 00:14:26,150
+Positioning في موضع العدسة بينما اللي بعنيه لمين
+
+159
+00:14:26,150 --> 00:14:31,010
+هو الـ Frame PD بتاع الإطار بالإضافة لمين للـ IBD
+
+160
+00:14:31,010 --> 00:14:37,070
+مين مش فاهم النقطة هذه واضحة ولا لأ يعني الآن
+
+161
+00:14:37,070 --> 00:14:43,590
+عندنا ال IBDاللي هي الـ Intrapupillary distance
+
+162
+00:14:43,590 --> 00:14:53,790
+بيساوي 62 ملي تمام وعنا ال frame BD بيساوي جداش 72
+
+163
+00:14:53,790 --> 00:15:00,710
+ملي okay الآن انا بدي اعمل ايش عملية توافق ما بين
+
+164
+00:15:00,710 --> 00:15:06,220
+ال frame BD و ال IBDمين اصغر ال IBD اذا بدي اعمل
+
+165
+00:15:06,220 --> 00:15:10,500
+Decentration لمين لداخل عشان احصل على اللي هو ايش
+
+166
+00:15:10,500 --> 00:15:14,700
+انه الprismatic effect تكون اللي هو to avoid
+
+167
+00:15:14,700 --> 00:15:18,900
+الprismatic effect for patient و ايضا انه تكون ال
+
+168
+00:15:18,900 --> 00:15:23,380
+geometric center ملائمة لمين لال optical center
+
+169
+00:15:23,380 --> 00:15:30,200
+طبعا بالمناسبة ال boxing center او ال geometric
+
+170
+00:15:30,200 --> 00:15:45,700
+center هي تعتبر ايه؟reference point
+
+171
+00:15:45,700 --> 00:15:49,520
+for
+
+172
+00:15:49,520 --> 00:16:00,320
+boxing system
+
+173
+00:16:16,720 --> 00:16:21,740
+طيب الآن أنا بتتكلم عن موضوع اللي هو ال size الحجم
+
+174
+00:16:21,740 --> 00:16:27,660
+طبعاً يما نتكلم size سواء ال eye size او ال frame
+
+175
+00:16:27,660 --> 00:16:34,900
+size تمام ال size of the lens is the length and
+
+176
+00:16:34,900 --> 00:16:40,960
+depth طيب اذا انا بتكلم length اذا هو بيمثل مين ال
+
+177
+00:16:40,960 --> 00:16:47,200
+a dimension يعني بمعنى اللي هو ال horizontalOkay
+
+178
+00:16:47,200 --> 00:16:52,880
+and depth العمق بمثل مين ال vertical line او ال b
+
+179
+00:16:52,880 --> 00:16:58,780
+اللي هو a dimension اذا المرحلة التانية عندنا ال a
+
+180
+00:16:58,780 --> 00:17:02,380
+dimension
+
+181
+00:17:02,380 --> 00:17:05,600
+اللي
+
+182
+00:17:05,600 --> 00:17:11,340
+هو عبارة عن ال length وال
+
+183
+00:17:11,340 --> 00:17:16,160
+b dimension بمثل ال depth
+
+184
+00:17:19,090 --> 00:17:24,650
+أو اللي هو ال vertical of the box containing the
+
+185
+00:17:24,650 --> 00:17:31,050
+lens ل البوكس اللي بيحتوي على مين؟ على العدسة the
+
+186
+00:17:31,050 --> 00:17:36,630
+horizontal length او ال a dimension is called the
+
+187
+00:17:36,630 --> 00:17:42,130
+eye size اذا بيمثل مين؟ حجم اللي هو العينwhen
+
+188
+00:17:42,130 --> 00:17:46,490
+referring to the frame and the lens size when
+
+189
+00:17:46,490 --> 00:17:49,950
+referring to the lenses يعني الآن لما أنا بتكلم
+
+190
+00:17:49,950 --> 00:17:54,430
+على I size إذا أنا بحكي عن مين؟ عن اللي هو ال
+
+191
+00:17:54,430 --> 00:17:58,290
+frame لما بتكلم على lens size إذا أنا بتكلم على
+
+192
+00:17:58,290 --> 00:18:05,030
+عدسة معنى آخر الآن أنا قدّتك إطارو حكيتلك اديني
+
+193
+00:18:05,030 --> 00:18:10,350
+قداش قيمة اللي هو مين ال eye size على طول ايش بدي
+
+194
+00:18:10,350 --> 00:18:14,710
+افكر ان هذه ل ال frame باجي من ال edge ل ال edge ل
+
+195
+00:18:14,710 --> 00:18:19,290
+مين ل ال frame طيب لو قلتلك ال lens size برفع
+
+196
+00:18:19,290 --> 00:18:23,410
+العدسة و بشوف محيط العدسة من ال edge ل ال edge
+
+197
+00:18:23,410 --> 00:18:31,530
+تمام؟ when most practitioners و هذه مهمة النقطة
+
+198
+00:18:32,520 --> 00:18:37,180
+Speak of lens size يعني ما معظم الممارسين أو
+
+199
+00:18:37,180 --> 00:18:42,740
+الأخصائيين أو الفنيين تمام بتتكلموا عن موضوع حجم
+
+200
+00:18:42,740 --> 00:18:48,720
+العدسة أو ال eye size تمام they are referring
+
+201
+00:18:48,720 --> 00:18:52,280
+primarily to the horizontal measure of the lens
+
+202
+00:18:52,280 --> 00:18:59,020
+denoted by the letter aاذا هذا بيشار ال a ب ال a
+
+203
+00:18:59,020 --> 00:19:05,420
+dimension يعني اي شخص بتكلم على ال I size او ال
+
+204
+00:19:05,420 --> 00:19:09,820
+frame size هو معنى الكلام انه بيمثل ال a dimension
+
+205
+00:19:09,820 --> 00:19:15,940
+او بيمثل مين اللي هو ال horizontal line تمام بس ال
+
+206
+00:19:15,940 --> 00:19:22,320
+horizontal مونوكيلر واضحة الفكرة طيب ال letter B
+
+207
+00:19:23,510 --> 00:19:27,370
+donates the vertical measure of the box enclosing
+
+208
+00:19:27,370 --> 00:19:32,110
+the lens اذا هو هيمثل مين؟ اه او ال mid-depth
+
+209
+00:19:32,110 --> 00:19:38,330
+تمام؟طيب التنين both a and b are in a sense
+
+210
+00:19:38,330 --> 00:19:43,570
+independent of lens shape التنين يا جماعة سواء ال
+
+211
+00:19:43,570 --> 00:19:46,830
+vertical dimension او ال horizontal dimension
+
+212
+00:19:46,830 --> 00:19:52,320
+مايعنوا اي شيء في اللي هو مين شكل العدسةخلّينا
+
+213
+00:19:52,320 --> 00:19:56,220
+نشوف كيف هذا الكلام انه كيف عندنا ال a dimension
+
+214
+00:19:56,220 --> 00:20:00,980
+او ال horizontal line و ال vertical line لا يعنو
+
+215
+00:20:00,980 --> 00:20:05,320
+اي شيء في موضوع حجم او عفوا شكل العدسة
+
+216
+00:20:16,080 --> 00:20:20,440
+طيب الآن هي عندنا ال A هو عبارة عن مين؟ ال A
+
+217
+00:20:20,440 --> 00:20:24,980
+dimension او ال I size او ال frame size تمام و
+
+218
+00:20:24,980 --> 00:20:29,100
+عندنا ال B عبارة عن اللي هو ال B dimension او
+
+219
+00:20:29,100 --> 00:20:33,680
+بنسميه ال mid datum depth كنا بنسميه قبل A او
+
+220
+00:20:33,680 --> 00:20:39,380
+عبارة عن ال depth line طيب
+
+221
+00:20:39,380 --> 00:20:46,640
+ال letter Crefers to the width of the lens itself
+
+222
+00:20:46,640 --> 00:20:51,280
+along the horizontal midline this can vary
+
+223
+00:20:51,280 --> 00:20:56,300
+considerably from the a dimension نرجع للصورة، وين
+
+224
+00:20:56,300 --> 00:21:04,380
+ال c على الصورة؟
+
+225
+00:21:04,380 --> 00:21:08,560
+اشري
+
+226
+00:21:08,560 --> 00:21:10,380
+تعليها، وين ال c؟
+
+227
+00:21:15,660 --> 00:21:20,500
+مية في المية، إذا هي إيش حكت؟ من هان ل .. اللي هو
+
+228
+00:21:20,500 --> 00:21:27,330
+النقطة هذه طيب ال a-dimensional من وين؟مية فى
+
+229
+00:21:27,330 --> 00:21:31,270
+المية ال rim تعني اللى هو ال frame مش انخربط بينهم
+
+230
+00:21:31,270 --> 00:21:34,970
+مرة تانية ال C dimension من وين كانت؟ من الخط
+
+231
+00:21:34,970 --> 00:21:40,970
+المتقطع يعني بمعنى اخر بقوله من حفة العدسة قبل ما
+
+232
+00:21:40,970 --> 00:21:44,950
+يصير لها الجروف يعني قبل ما نعمللها اللى هو ال
+
+233
+00:21:44,950 --> 00:21:49,070
+smoothing تنعيم للعدسة تمام؟ لحدى اللى هو ايش؟ ال
+
+234
+00:21:49,070 --> 00:21:53,980
+rimيعني بمعنى اخر لو انا حصلت على ال C dimension
+
+235
+00:21:53,980 --> 00:21:57,960
+بيكون الفرق ما بينه وبين ال A dimension نص لواحد
+
+236
+00:21:57,960 --> 00:22:02,980
+من ليه؟ ليش؟ لأنه هان أخد من ال rim ل ال rim يعني
+
+237
+00:22:02,980 --> 00:22:08,040
+من حفة العدسة اليمين لحفة العدسة الشمال واضح
+
+238
+00:22:08,040 --> 00:22:13,480
+الفكرة؟ اذا هذه ال A dimension او ال I size لكن ال
+
+239
+00:22:13,480 --> 00:22:18,800
+C dimension معنى الكلام من العدسة حفتها لالحفة
+
+240
+00:22:18,800 --> 00:22:26,860
+التاليةأذا في هناك اختلاف كله تمام ما بين مين؟
+
+241
+00:22:26,860 --> 00:22:30,320
+this can vary considerably from the a dimension
+
+242
+00:22:30,320 --> 00:22:35,660
+اذا ال a dimension مختلف عن مين؟ عن ال c dimension
+
+243
+00:22:35,660 --> 00:22:41,380
+the c dimension of a lens is seldom used يعني نادر
+
+244
+00:22:41,380 --> 00:22:44,880
+اللي هو ايه الاستخدام دايما احنا بنستخدم ال eye
+
+245
+00:22:44,880 --> 00:22:48,560
+size او ال frame size اللي هو عبارة عن مين؟ ال a
+
+246
+00:22:48,560 --> 00:22:49,080
+dimension
+
+247
+00:22:56,730 --> 00:23:01,170
+لكن الان احنا لو واحد جنا ال I size او جنا ال
+
+248
+00:23:01,170 --> 00:23:05,670
+frame size، ايش بنفهم؟ اللي هي ال A dimension، لكن
+
+249
+00:23:05,670 --> 00:23:10,470
+قديما كان يسموا ال I size عبارة عن ال C letter،
+
+250
+00:23:10,470 --> 00:23:16,120
+لكن احنا ماببناش إياه الآنSome people still
+
+251
+00:23:16,120 --> 00:23:21,220
+basically measure the eye size this way لحد الآن
+
+252
+00:23:21,220 --> 00:23:26,820
+في ناس بيخطئوا في عملية قياس مين ال a dimension و
+
+253
+00:23:26,820 --> 00:23:30,120
+ال c dimension يعني بمعنى اخر انه ما بيميزوا بين
+
+254
+00:23:30,120 --> 00:23:34,480
+الاتنين احنا الان ننسى ال c dimension و نعتمد فقط
+
+255
+00:23:34,480 --> 00:23:39,620
+على مين ال a dimension اللي هو المستخدمThe C
+
+256
+00:23:39,620 --> 00:23:43,580
+dimension of a lens shouldn't be confused with the
+
+257
+00:23:43,580 --> 00:23:47,780
+C size of a lens فهذا عمل ايش عملية ايش مانت
+
+258
+00:23:47,780 --> 00:23:52,080
+confused تشويش انه انا بدي اعرف هل هذا A dimension
+
+259
+00:23:52,080 --> 00:23:56,200
+ولا C dimension بسيط الأمر يما انا بقيس من ال rim
+
+260
+00:23:56,200 --> 00:24:00,560
+لل rim اذا انا بتكلم I size او frame size اذا انا
+
+261
+00:24:00,560 --> 00:24:04,900
+بتكلم ع مين A dimension لكن يما انا بتكلم على ال C
+
+262
+00:24:04,900 --> 00:24:08,660
+dimension انا بقصد ايش اللي هو مقبل ال rim بتاع
+
+263
+00:24:08,660 --> 00:24:15,020
+اليطارC size is the circumference ايش مانع ال
+
+264
+00:24:15,020 --> 00:24:21,520
+circumference يعني محيط تمام of the edged lens اذا
+
+265
+00:24:21,520 --> 00:24:26,940
+محيط العدسة نفسها and is sometimes بعض الأحيان
+
+266
+00:24:26,940 --> 00:24:33,260
+used to measure accuracy when publicating an old
+
+267
+00:24:33,260 --> 00:24:41,660
+lens size when edging الآن انا مثلا عندىنضارة جثتي
+
+268
+00:24:41,660 --> 00:24:46,880
+مثلا اليمين و بدي اعمل نفس العدسة وين في الشمال
+
+269
+00:24:46,880 --> 00:24:51,060
+فمن خلال ال a dimension باخد واحد للتنتين فمقدر
+
+270
+00:24:51,060 --> 00:24:55,060
+اعمل ايه duplicating يعني مرة تانية اللي هو two x
+
+271
+00:24:55,060 --> 00:24:59,080
+او عدستين ان التنتين ايش تكونوا similar اللي هو
+
+272
+00:24:59,080 --> 00:25:01,780
+ممثلين لبعض فهمتوا الفكرة؟
+
+273
+00:25:08,180 --> 00:25:16,920
+طيب عندنا ال measurement القياس in
+
+274
+00:25:16,920 --> 00:25:21,920
+determining the horizontal boxing dimensions of a
+
+275
+00:25:21,920 --> 00:25:26,480
+frame عشان انا احدد جداش قيمة اللي هو ال a
+
+276
+00:25:26,480 --> 00:25:29,660
+dimension هاي المقصود فيه ال horizontal boxing
+
+277
+00:25:29,660 --> 00:25:33,760
+dimensions of a frame يعني ال a dimension او
+
+278
+00:25:33,760 --> 00:25:41,080
+بنسميه ال I size او ال frame sizeالمقارنة تبدأ في
+
+279
+00:25:41,080 --> 00:25:45,720
+الداخل من الجروف على الجانب اليسار يعني الآن يا
+
+280
+00:25:45,720 --> 00:25:51,660
+جماعة لو أنت شفت ديني بالله العدسة النضارة الآن أي
+
+281
+00:25:51,660 --> 00:25:58,220
+نضارةشايفين؟ فيها إيش؟ اللي هو growth تمام؟ إذا ال
+
+282
+00:25:58,220 --> 00:26:02,320
+growth هذا منه المفترض أبدأ يعني بمعنى أخر أو هان
+
+283
+00:26:02,320 --> 00:26:08,000
+عندنا bevel ال bevel هذه تمام؟ من عندها أنه أحسب
+
+284
+00:26:08,000 --> 00:26:12,280
+القيمة طيب أنا مش معقولة أنه كل ما أجيب نضارة أروح
+
+285
+00:26:12,280 --> 00:26:16,340
+أفكها بالطريقة هذه فاحنا إيش بنروح؟ بناخد من اللي
+
+286
+00:26:16,340 --> 00:26:22,380
+هو ال edge تمام؟ لل edgeأيوة من ال edge ل ال edge
+
+287
+00:26:22,380 --> 00:26:28,320
+لأ هيه اللي ظاهر عندكم شايفين كيف اعمل هيه من هنا
+
+288
+00:26:28,320 --> 00:26:32,840
+ل هنا صح ولا لا لكن العدسة هالجيت هي وين جاية
+
+289
+00:26:32,840 --> 00:26:37,000
+inside مش جاية لجوا فبضيف اللي هو نص من اللي من
+
+290
+00:26:37,000 --> 00:26:42,680
+هنا و نص من اللي من هنا مرة تانية هالجيت باخد
+
+291
+00:26:42,680 --> 00:26:49,500
+القيمة من هنا هيه عندكم من هنا ل هنا okay
+
+292
+00:26:51,980 --> 00:26:55,680
+لأ ممكن أخدها من الحفة تمام و أضيف منها النص و
+
+293
+00:26:55,680 --> 00:26:59,380
+منها النص يعني واحد ملي إضافة ليش؟ لأنه أنا فاهم
+
+294
+00:26:59,380 --> 00:27:03,480
+أنه في عندك واحد ملي اللي هي إضافة من ال pivotal
+
+295
+00:27:03,480 --> 00:27:08,690
+أو الجروف اللي تم إجراءه وين في العدسةعنا in
+
+296
+00:27:08,690 --> 00:27:13,370
+determining the horizontal boxing dimensions of a
+
+297
+00:27:13,370 --> 00:27:16,530
+frame اللي هو عبارة عن ال a dimension the
+
+298
+00:27:16,530 --> 00:27:20,510
+measurement begins at the inside of the groove on
+
+299
+00:27:20,510 --> 00:27:26,110
+the left side of the imaginary enclosing box إيش
+
+300
+00:27:26,110 --> 00:27:32,910
+مناد imaginary؟ يعني بمعنى اللي هو وهمة أو بمعنى
+
+301
+00:27:32,910 --> 00:27:40,000
+اللي هو imagination اللي هو تخيلةin closing boxand
+
+302
+00:27:40,000 --> 00:27:45,360
+extends حيميل horizontally across the lens opening
+
+303
+00:27:45,360 --> 00:27:50,340
+to the farthest part لأبعد اللي هو جزئية أو أبعد
+
+304
+00:27:50,340 --> 00:27:54,020
+نقطة of the group on the right side of the box
+
+305
+00:27:54,020 --> 00:27:58,640
+يعني باخدها من أبعد نقطة في اليمين لأبعد نقطة في
+
+306
+00:27:58,640 --> 00:28:02,660
+الشمال هذه بتمثل اللي هو قيمة مين ال a dimension
+
+307
+00:28:02,660 --> 00:28:07,620
+او ال horizontal dimension بالاضافة اني بضيف لهانص
+
+308
+00:28:07,620 --> 00:28:11,660
+ملي لكل اللي هو part عشان يكون يعني plus one ملي
+
+309
+00:28:11,660 --> 00:28:19,320
+إضافة لها remember بدنا نذكر the a dimension is
+
+310
+00:28:19,320 --> 00:28:24,860
+the width of the enclosing box يعني بمعنى أنه بمثل
+
+311
+00:28:24,860 --> 00:28:30,640
+اللي هو إيش العمق أو اللي هو العرض لمين لقيمة اللي
+
+312
+00:28:30,640 --> 00:28:36,060
+هو ال enclosing boxيعني بيمثل ال eye size أو بيمثل
+
+313
+00:28:36,060 --> 00:28:41,640
+اللي هو ال eye frame it's not the width of the
+
+314
+00:28:41,640 --> 00:28:46,200
+lens at the middle of the shape إيش المقصود فيها؟
+
+315
+00:28:54,660 --> 00:28:58,700
+مية فى المية ونقطة تانية لو انا مثلا روحت جثة من
+
+316
+00:28:58,700 --> 00:29:03,600
+الحثة تمام لأ اللى هو ال center okay مانفعش انا
+
+317
+00:29:03,600 --> 00:29:07,460
+اروح اضربها فى اتنين ليش؟ لأن ممكن في بعض الأحيان
+
+318
+00:29:07,460 --> 00:29:12,220
+في إطارات بيكون ال dimension بتاعتهم مختلف يعني مش
+
+319
+00:29:12,220 --> 00:29:16,060
+متساوى من ال right edge و من ال left edge مستوابين
+
+320
+00:29:16,060 --> 00:29:20,860
+معاه؟ يعني الآن لو أنا خدت للنص يعني مانفعش اروح
+
+321
+00:29:20,860 --> 00:29:25,630
+اعمل ايش اللى هو ضرب اتنينلأنه ممكن في بعض اللي هو
+
+322
+00:29:25,630 --> 00:29:29,350
+الأشكال من الإطارات، هيكون الجزء هذا مختلف عن
+
+323
+00:29:29,350 --> 00:29:32,750
+الجزء هذا، من حيث اللي هو ال dimension، يعني بمعنى
+
+324
+00:29:32,750 --> 00:29:33,990
+أخر مش متساويين
+
+325
+00:29:42,500 --> 00:29:48,280
+في عندنا the effective diameter of a lens is found
+
+326
+00:29:48,280 --> 00:29:53,400
+by doubling the distance from the geometric center
+
+327
+00:29:53,400 --> 00:29:59,040
+of the lens to the apex of the lens bevel farthest
+
+328
+00:29:59,040 --> 00:30:03,180
+from it شايفين
+
+329
+00:30:03,180 --> 00:30:10,900
+الآن عندنا من النقطة هذه تمام لأبعد نقطة وين في
+
+330
+00:30:10,900 --> 00:30:16,010
+اللي هو ال frameتمام؟ هذه بتمثل مين؟ الـ effective
+
+331
+00:30:16,010 --> 00:30:22,650
+diameter يعني الآن أنا باخد الإطار أبعد نقطة من
+
+332
+00:30:22,650 --> 00:30:26,730
+هان لأبعد نقطة هان هذه بتمثل إيش؟ ال effective
+
+333
+00:30:26,730 --> 00:30:34,470
+diameter okay يعني بشوف أبعد نقطتين موجودة إذا the
+
+334
+00:30:34,470 --> 00:30:38,930
+effective diameter اللي هو عبارة عن ال ED of a
+
+335
+00:30:38,930 --> 00:30:45,840
+lens للعدسةis found تم اللي هو إيجاده by bubbling
+
+336
+00:30:45,840 --> 00:30:51,680
+يعني بمعنى اللي هو ضرب اتنين the distance from the
+
+337
+00:30:51,680 --> 00:30:57,460
+geometric center of the lens to the apex of the
+
+338
+00:30:57,460 --> 00:31:02,300
+lens bevel farthest from it يعني النقطة من اللي هو
+
+339
+00:31:02,300 --> 00:31:06,920
+أبعد نقطة لحدية اللي هو مين ال bevel الخاصة في
+
+340
+00:31:06,920 --> 00:31:07,440
+العدسة
+
+341
+00:31:12,010 --> 00:31:16,390
+يعني المسافة ما بين الـ Geometric Center أو الـ
+
+342
+00:31:16,390 --> 00:31:21,450
+Boxing Center لالـ Abyss أبعد نقطة موجودة وين في
+
+343
+00:31:21,450 --> 00:31:25,070
+داخل اللي هو إطار العدسة بعدين باخد من الـ
+
+344
+00:31:25,070 --> 00:31:28,790
+Geometric Center لأبعد نقطة موجودة وين في اللي هو
+
+345
+00:31:28,790 --> 00:31:32,930
+الـ Bottom Part هذا بتمثل الـ Effective Diameter
+
+346
+00:31:32,930 --> 00:31:39,450
+طيب، الآن إيش الوظيفة الأساسية لقياس ال Effective
+
+347
+00:31:39,450 --> 00:31:44,480
+Diameter أو الـ ED؟طبعا الـ Effective Diameter هذه
+
+348
+00:31:44,480 --> 00:31:49,120
+مهمة كتير الآن انا عندي عدسة لم يتم اللي هو قصها
+
+349
+00:31:49,120 --> 00:31:52,860
+تمام؟ بدي اعرف ان هذا الـ Diameter بتاع العدسة
+
+350
+00:31:52,860 --> 00:31:58,360
+ممكن انه يكون مناسب للإطار ولا لأ واضح الفكرة؟
+
+351
+00:31:58,360 --> 00:32:01,580
+فبنعمله عملية simulation ايش المقصود في ال
+
+352
+00:32:01,580 --> 00:32:05,860
+simulation؟ انه انا بشوف هل هذا بنفع لإطار زي هيك
+
+353
+00:32:05,860 --> 00:32:09,720
+ولا لأ يعني الآن مثلا انا عندي عدسة قطرها خمسة
+
+354
+00:32:09,720 --> 00:32:13,730
+وخمسينطيب لو اجينا لل effective diameter و
+
+355
+00:32:13,730 --> 00:32:20,910
+لاجيناها قيمتها غير مناسبة لقطر خمسة و خمسين، اذا
+
+356
+00:32:20,910 --> 00:32:25,250
+ماينفعش انا اقصها لهذا الإطار؟واضح الفكرة؟ يعني
+
+357
+00:32:25,250 --> 00:32:29,050
+الآن انا عندى اطار اطفال بالفعل اش اجيبله عدسة
+
+358
+00:32:29,050 --> 00:32:33,070
+قطرها سبعين او خمسة وسبعين مليمتر هيك انا لو عملت
+
+359
+00:32:33,070 --> 00:32:37,790
+هذه الطريقة ممكن انه انا بأثر على مين؟ على ال
+
+360
+00:32:37,790 --> 00:32:41,490
+optical center للعدسة ونفس الحاجة لو كان صغير
+
+361
+00:32:41,490 --> 00:32:49,260
+بالعكس okay فبطلع منه مصطلح اسمههذا الاختصار يساعد
+
+362
+00:32:49,260 --> 00:32:57,460
+في تحديد أقل عدسة بلانك من أين يمكن تقطيع العدسة
+
+363
+00:32:57,460 --> 00:33:05,060
+يعني الآن بعمل تحديث تمام لقداش حجم العدسة اللي
+
+364
+00:33:05,060 --> 00:33:09,820
+مطلوبة عشان تكون مناسبة لهذا الإطار في عندنا ال
+
+365
+00:33:09,820 --> 00:33:17,090
+minimum blank sizeOkay هذا لازم نحسبها دائما اي
+
+366
+00:33:17,090 --> 00:33:20,690
+عدسة بدنا نقصها لازم نحسبلها ال minimum a blank
+
+367
+00:33:20,690 --> 00:33:25,810
+size ايش بالساوي ال effective diameter اللي هي
+
+368
+00:33:25,810 --> 00:33:29,670
+قلنا من ال geometric center لأبعد نقطة ومن ال
+
+369
+00:33:29,670 --> 00:33:34,790
+geometric center ل ال pivula العدسة okay زائد
+
+370
+00:33:34,790 --> 00:33:39,810
+اتنين ميلي decentration هلجيت مش احنا قلنا ان
+
+371
+00:33:39,810 --> 00:33:46,780
+العدسة بتكون للداخل صح ولا لأبذل أو جروف تمام
+
+372
+00:33:46,780 --> 00:33:51,460
+فبتكون inside the frame هذي قدش بتمثل اتنين ملي
+
+373
+00:33:51,460 --> 00:34:01,800
+يعني بمعنى ازاحة اذا اتنين ملي دي سنتراشن زائد
+
+374
+00:34:02,360 --> 00:34:06,780
+أتنين ملي هذي دايما باخدها في القص مش احنا حكينا
+
+375
+00:34:06,780 --> 00:34:11,020
+المرة الماضية انه يما احنا بدنا نقص لازم ان يكون
+
+376
+00:34:11,020 --> 00:34:15,640
+عملية القص اكتر من القيمة المطلوبة ليش؟ لأن لو
+
+377
+00:34:15,640 --> 00:34:20,080
+كانت العدسة مثلا لوز هتلاقيها تفلت بسرعة صح ولا
+
+378
+00:34:20,080 --> 00:34:24,940
+لا؟ يعني زي توي كانت لوز العدسة، تمام؟ فلازم انا
+
+379
+00:34:24,940 --> 00:34:31,090
+احط اتنين ملي هذي ايش تعتبر؟ انهبقدر اتحكم فيها
+
+380
+00:34:31,090 --> 00:34:36,870
+يعني بمعنى اخر ان تكون ملائمة لعملية القص يعني ال
+
+381
+00:34:36,870 --> 00:34:40,630
+2 ملي عشان ماتخليش العدسة lose يعني تسقط اللي هو
+
+382
+00:34:40,630 --> 00:34:44,890
+بسرعة من مكانها فعندنا ال minimum a plant size
+
+383
+00:34:44,890 --> 00:34:47,690
+بساوي ال effective diameter زائد 2 ملي ال
+
+384
+00:34:47,690 --> 00:34:52,520
+concentration زايد 2 مليمن خلال الـ Effective
+
+385
+00:34:52,520 --> 00:34:58,760
+Diameter انا بديني اللي هو Indicator مؤشر انه
+
+386
+00:34:58,760 --> 00:35:03,660
+العدسة كيف هيكون شكلها يما انا بدي اقصها و احطها
+
+387
+00:35:03,660 --> 00:35:09,540
+وين في داخل الإطار طيب نقف ان شاء الله للنقطة هذه
+
+388
+00:35:09,540 --> 00:35:13,060
+و في المحاضرة القادمة بنكمل اعطيكم العافية
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..078767b509ea417164ad518f595cc717e15b5d17
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_postprocess.srt
@@ -0,0 +1,1268 @@
+1
+00:00:01,180 --> 00:00:03,500
+بسم الله الرحمن الرحيم الصلاة والسلام على رسول
+
+2
+00:00:03,500 --> 00:00:09,210
+اللهأهلا و سهلا بكم في محاضرة جديدة من وثائق تقييم
+
+3
+00:00:09,210 --> 00:00:12,350
+البيانات اليوم ان شاء الله هتتكلم على ال second
+
+4
+00:00:12,350 --> 00:00:16,890
+mining task او ال third mining task اللي هي ال
+
+5
+00:00:16,890 --> 00:00:20,750
+clustering طبعا احنا كنا بتكلمنا سابقا ان ال
+
+6
+00:00:20,750 --> 00:00:24,490
+mining task تنقسم من ال predictive او ال
+
+7
+00:00:24,490 --> 00:00:26,870
+descriptive و ال predictive اتكلمنا عن ال
+
+8
+00:00:26,870 --> 00:00:28,990
+classification و ال regression و ال recommendation
+
+9
+00:00:28,990 --> 00:00:31,470
+اليوم طبعا ال recommendation ما شرحناها عشان
+
+10
+00:00:31,470 --> 00:00:34,170
+اتكلمنا عن classification و regressionواليوم إن
+
+11
+00:00:34,170 --> 00:00:36,710
+شاء الله تعالى هنتكلم .. نبدأ في الـ descriptive
+
+12
+00:00:36,710 --> 00:00:41,370
+task هنتكلم على ال clustering طب لما احنا بنتكلم
+
+13
+00:00:41,370 --> 00:00:43,910
+على ال clustering بنتكلم على unsupervised learning
+
+14
+00:00:43,910 --> 00:00:46,750
+وهذا نوع من ال machine learning اللي بتعلم من ال
+
+15
+00:00:46,750 --> 00:00:51,650
+test data يعني انا بهمني انه البيانات تبعتي مايكون
+
+16
+00:00:51,650 --> 00:00:55,030
+لهاش label هذا مفهوم ال test data ان ال test data
+
+17
+00:00:55,030 --> 00:00:59,090
+انه label مش موجود that has not been labeled
+
+18
+00:00:59,090 --> 00:01:04,580
+مالهاش labelclassified or categorized ما تمش
+
+19
+00:01:04,580 --> 00:01:09,020
+تصنيفها أو تقسيمها قبل هيك بال unsupervised
+
+20
+00:01:09,020 --> 00:01:14,400
+learning على خلاف كل ال machine learning مافيش
+
+21
+00:01:14,400 --> 00:01:19,420
+عندي output معروف مسبقا وبالتالي مافيش عندي
+
+22
+00:01:19,420 --> 00:01:22,320
+teacher أو instruction مافيش عندي أي structure لل
+
+23
+00:01:22,320 --> 00:01:25,700
+learning algorithm فحين انه في ال supervised
+
+24
+00:01:25,700 --> 00:01:28,020
+learning سواء كان في ال regression أو كان في ال
+
+25
+00:01:28,020 --> 00:01:32,840
+classification كان عندي واضحالـ label هو ال
+
+26
+00:01:32,840 --> 00:01:36,180
+guidance تبعي أو هو المعلم تبعي إيه الشغلات اللي
+
+27
+00:01:36,180 --> 00:01:39,260
+أنا بديها وإيه ال role اللي أنا كنت بحاول أحصل
+
+28
+00:01:39,260 --> 00:01:41,920
+عليها ال unsupervised learning ال learning
+
+29
+00:01:41,920 --> 00:01:47,880
+algorithm فقط بأعرض عليه البيانات و بأطلب يعمل
+
+30
+00:01:47,880 --> 00:01:50,840
+extract لل knowledge طبعا extract لل knowledge هان
+
+31
+00:01:50,840 --> 00:01:54,500
+إما بتقسيمهم لمجموعات أو يقول لي إيش ال frequent
+
+32
+00:01:54,500 --> 00:01:57,720
+pattern فيهم زي ما في ال association rules إلى
+
+33
+00:01:57,720 --> 00:02:02,710
+آخرينطبعاً لما اتكلم في الـ unsupervised learning
+
+34
+00:02:02,710 --> 00:02:06,530
+بدل
+
+35
+00:02:06,530 --> 00:02:11,390
+ما انا اخد feedback و
+
+36
+00:02:11,390 --> 00:02:15,070
+اقارب الـ unsupervised learning بعرف ال
+
+37
+00:02:15,070 --> 00:02:19,510
+communities أو الشغلات المشتركة في ال data الشغلات
+
+38
+00:02:19,510 --> 00:02:23,230
+ال common اللي موجودة اللي بتتشارك فيها مجمع معظم
+
+39
+00:02:23,230 --> 00:02:28,960
+ال instances اللي موجودة عنديوبتقرر .. وبت .. اللي
+
+40
+00:02:28,960 --> 00:02:32,640
+بعرف .. بعد ما بتقرر على الشغلات ال common هاي أو
+
+41
+00:02:32,640 --> 00:02:36,760
+الشغلات المشتركة هاي بناء عليها بتتصرف اما بتقرر
+
+42
+00:02:36,760 --> 00:02:41,420
+.. يعني بتتصرف وبصير ال algorithm بناء على وجود أو
+
+43
+00:02:41,420 --> 00:02:45,940
+عدم وجود ال properties أو ال common properties
+
+44
+00:02:45,940 --> 00:02:49,440
+اللي موجود عنده يعني يعني تخيل انا لو انا في عندى
+
+45
+00:02:49,440 --> 00:02:53,910
+مجموعة من الصور وقولنا بدنا نصنفهممجموعة من الصور
+
+46
+00:02:53,910 --> 00:02:56,290
+وانا بدي أصنفهم معناته حتى اللي عرف المحتوى الصور
+
+47
+00:02:56,290 --> 00:03:01,830
+واصيرك والله ان التصنيف هذا بيتبع كده او يتبع كده
+
+48
+00:03:01,830 --> 00:03:05,230
+الـ unsupervised learning زي ما قلناه عبارة عن
+
+49
+00:03:05,230 --> 00:03:09,330
+descriptive model في اكتر من نوع في ال
+
+50
+00:03:09,330 --> 00:03:11,590
+unsupervised learning زي ما بنعرف سابقا ل
+
+51
+00:03:11,590 --> 00:03:14,630
+clustering طبعا شفناها في المقدمة تابعة المساق ل
+
+52
+00:03:14,630 --> 00:03:18,930
+clustering معناته انا بدي اجسم ال data instances
+
+53
+00:03:18,930 --> 00:03:27,350
+اللي موجودة عندي لمجموعة منالـ groups طبعاً مجموع
+
+54
+00:03:27,350 --> 00:03:32,050
+الـ groups هذه عددها معروف مسبقاً طب من هنا علشان
+
+55
+00:03:32,050 --> 00:03:35,870
+نتم تجميعهم بدنا ندرس صفات ال properties هاي
+
+56
+00:03:35,870 --> 00:03:38,970
+وتجميعهم مع بعضهم ال anomaly detection أو ال
+
+57
+00:03:38,970 --> 00:03:42,030
+outlier detection أروح أدور على ال unusual أو
+
+58
+00:03:42,030 --> 00:03:48,270
+الشغلات النادرة في ال data set اللي موجودة عندها و
+
+59
+00:03:48,270 --> 00:03:53,390
+أظهرهاالـ association rules لما انا بتكلم على ال
+
+60
+00:03:53,390 --> 00:03:58,570
+patterns و بدور على ال frequent pattern اللي ممكن
+
+61
+00:03:58,570 --> 00:04:02,410
+تكون موجود عندي و ارتباط العناصر و اشوف ارتباط
+
+62
+00:04:02,410 --> 00:04:06,660
+القوانين او ارتباط ال data مع بعضهاعشان أقدر أبني
+
+63
+00:04:06,660 --> 00:04:10,060
+decision وفي عندي transformation اللي هي فعليا أنا
+
+64
+00:04:10,060 --> 00:04:13,760
+أقدر أحول ال data ل data set مختلفة عشان أقدر
+
+65
+00:04:13,760 --> 00:04:18,480
+أرسمها أو أقدر أتعامل معاها بشكل أبسط احنا طبعا
+
+66
+00:04:18,480 --> 00:04:22,980
+هنتكلم على ال course هذا ال clustering و ال
+
+67
+00:04:22,980 --> 00:04:27,600
+association rules طبعا لما نتكلم فعلا ال
+
+68
+00:04:27,600 --> 00:04:31,380
+clustering معناته ال clustering algorithm بده يروح
+
+69
+00:04:31,380 --> 00:04:36,680
+يجسم ال data set اللي عندي ل distinct groupsالجروب
+
+70
+00:04:36,680 --> 00:04:42,780
+هذي معروفة مسبقا تخيل
+
+71
+00:04:42,780 --> 00:04:48,320
+ان ال raw data تبعتي هي عبارة عن سلة الفواكه رمضان
+
+72
+00:04:48,320 --> 00:04:51,600
+كريم ان شاء الله كل عام طيبين ان شاء الله سلة
+
+73
+00:04:51,600 --> 00:04:54,580
+الفواكه هي عبارة عن ال input data ال raw data
+
+74
+00:04:54,580 --> 00:05:00,580
+تبعتي وانا قلت بدي اجسمها لتلت مجموعاتطبيعي ال
+
+75
+00:05:00,580 --> 00:05:05,060
+algorithm هيدرس خصائص العناصر كلياتها يعرف العناصر
+
+76
+00:05:05,060 --> 00:05:08,260
+المشتركة ويحدد العناصر المشتركة وبالتالي هيقول لي
+
+77
+00:05:08,260 --> 00:05:12,700
+في عندك مجموعة التفاح ومجموعة الموز ومجموعة
+
+78
+00:05:12,700 --> 00:05:17,360
+المانجو هذا لما قلت له جسم ليها لتلت مجموعات
+
+79
+00:05:17,360 --> 00:05:19,940
+متذكرين ال definition السابق؟ انا قلت لها
+
+80
+00:05:19,940 --> 00:05:25,040
+predefine او predetermine number of groups لازم
+
+81
+00:05:25,040 --> 00:05:30,110
+احدده مسبقاتمام طيب لو انا روح قولتله ل مجموعتين
+
+82
+00:05:30,110 --> 00:05:35,970
+روحت قولتله جسملي اياهم لمجموعتين مش تلات مجموعات
+
+83
+00:05:35,970 --> 00:05:42,070
+دراسة العناصر هاي و هيروح و كأنه هيقوللي انه هذه
+
+84
+00:05:42,070 --> 00:05:45,990
+انا بتوقع ان يكون هذه التفاح و المانجو في مجموعة و
+
+85
+00:05:45,990 --> 00:05:49,690
+الموز في مجموعة تانية لأن الشكل و اللون مختلف بعاد
+
+86
+00:05:49,690 --> 00:05:54,430
+كتير عنبعضهم وبالتالي عدد المجموعات هو اللي يلعب
+
+87
+00:05:54,430 --> 00:05:57,370
+دور طبعا يا جماعة الخير كل ما كان عندى عدد
+
+88
+00:05:57,370 --> 00:06:00,950
+المجموعات اللي انا بتديها تبعتي هو الصح معناته انا
+
+89
+00:06:00,950 --> 00:06:04,370
+بأشتغل عليها بشكل كويس أو بكون عندى النتيجة تبعتي
+
+90
+00:06:04,370 --> 00:06:09,310
+صح لما بتكلم في ال clustering معناته انا بتكلم ان
+
+91
+00:06:09,310 --> 00:06:13,250
+ال method تبعتي هي ال .. ال .. او ال clustering هي
+
+92
+00:06:13,250 --> 00:06:17,470
+عبارة عن method بتجسم البيانات اللي بتشارك
+
+93
+00:06:19,620 --> 00:06:26,360
+الصفات المشتركة أو الـ similar trend and better
+
+94
+00:06:26,360 --> 00:06:32,520
+يعني ان ال instances هتتوزع بناء على محتوى على
+
+95
+00:06:32,520 --> 00:06:36,820
+احتوائها على مجموعة من الشغلات المشتركة يعني هيكون
+
+96
+00:06:36,820 --> 00:06:40,140
+في عندي تشابه كبير جدا ما بين العناصر اللي في
+
+97
+00:06:40,140 --> 00:06:45,200
+المجموعة الواحدة الهدف الأساسي فعليا من ال
+
+98
+00:06:45,200 --> 00:06:48,660
+clustering معناته هو عبارة عن split up تقسيم ال
+
+99
+00:06:48,660 --> 00:06:56,200
+dataبطريقة طبعا تقسمها ل groups بطريقة ان النقاط
+
+100
+00:06:56,200 --> 00:06:59,220
+اللي في ال cluster الواحد او في المجموعة الواحدة
+
+101
+00:06:59,220 --> 00:07:03,820
+are very similar متشابهة جدا عشان هيك كانت في
+
+102
+00:07:03,820 --> 00:07:08,920
+الرسم السابق هان لما اتكلمنا كان التفاح لحال
+
+103
+00:07:08,920 --> 00:07:12,400
+المانجو لحال و الموز لحال و لما قلتلك انا بتقسمهم
+
+104
+00:07:12,400 --> 00:07:16,460
+لمجموعتين مش لتلات مجموعاتمعناه تقول نحن هنا
+
+105
+00:07:16,460 --> 00:07:21,980
+نضيفهم على مع بعضهم لكن الان ايش الشغلات المشتركة
+
+106
+00:07:21,980 --> 00:07:25,280
+اللي انت اعتمدت عليها الحجم مثلا و اللون لكن لو
+
+107
+00:07:25,280 --> 00:07:27,640
+واحد ايجي جالي والله انا بتقسمهم هالنا مجموعتين
+
+108
+00:07:27,640 --> 00:07:32,400
+بناء على طبيعة الفاكهة اللي موجودة هاي وبالتالي
+
+109
+00:07:32,400 --> 00:07:35,660
+احنا نتكلم في عندي فواكه استوائية ال mango و الموز
+
+110
+00:07:35,660 --> 00:07:42,040
+فاكهة استوائية ولا لأ وبالتالي ممكن يكون تصنيف في
+
+111
+00:07:42,040 --> 00:07:46,540
+الآخرمافيش عندي قرار صحيح مائة في المائة أن
+
+112
+00:07:46,540 --> 00:07:50,520
+التقسيمة تبعتي هذه صح أو .. لكن بقدر أقول والله
+
+113
+00:07:50,520 --> 00:07:53,820
+التقسيمة هذه أصح من هذه التقسيمة بناء على معرفتي
+
+114
+00:07:53,820 --> 00:07:56,640
+بالبيانات اللي موجودة عندها طبعا ال similarity
+
+115
+00:07:56,640 --> 00:08:01,640
+طبعا التشابه ما بين ال algorithm for the
+
+116
+00:08:01,640 --> 00:08:03,600
+unsupervised learning و ال classification
+
+117
+00:08:03,600 --> 00:08:08,820
+algorithm أنه ال cluster algorithm بيخصص أو بتنبأ
+
+118
+00:08:08,820 --> 00:08:11,780
+رقم المجموعة
+
+119
+00:08:14,590 --> 00:08:16,970
+للـ point يعني انا روح قلتله والله انا بدي تلت
+
+120
+00:08:16,970 --> 00:08:19,850
+مجموعات بروح بقولي هذه ال point في المجموعة رقم
+
+121
+00:08:19,850 --> 00:08:22,830
+واحد هذه ال point في المجموعة رقم اتنين هذه ال
+
+122
+00:08:22,830 --> 00:08:25,090
+point في المجموعة رقم تلاتة هذه ال point في
+
+123
+00:08:25,090 --> 00:08:29,550
+المجموعة رقم تلاتة وبالتالي هو بيعمل predict لرقم
+
+124
+00:08:29,550 --> 00:08:32,370
+المجموعة اللي انا قلبته من البداية عشان انا قلتله
+
+125
+00:08:32,370 --> 00:08:37,550
+بدي تلت مجموعات فهو هجسم ليهم تلت مجموعات طبعا و
+
+126
+00:08:37,550 --> 00:08:39,950
+هذه هي المفهوم التشابه اللي انا بتكلم عليه انهم
+
+127
+00:08:39,950 --> 00:08:45,040
+بنعمل prediction لالـ number بحيث انه فعليا كما زي
+
+128
+00:08:45,040 --> 00:08:48,480
+ما قلنا ان هذا ال number هي عبارة عن رقم المجموعة
+
+129
+00:08:48,480 --> 00:08:51,620
+أو رقم ال cluster اللي بيحتوي ال point اللي موجودة
+
+130
+00:08:51,620 --> 00:08:57,000
+عندها طبعا
+
+131
+00:08:57,000 --> 00:08:59,820
+لما بتكلم على ال clustering معناته ان انا بدي اخد
+
+132
+00:08:59,820 --> 00:09:07,020
+بيانات كلها في نفس ال space بتكلم على بيانات كلها
+
+133
+00:09:07,020 --> 00:09:13,040
+في نفس ال spaceفي مجموعات معينة يعني هذا الـ space
+
+134
+00:09:13,040 --> 00:09:17,240
+هو عبارة عن high dimensional ممكن يكون 2D, 3D, 4D
+
+135
+00:09:17,240 --> 00:09:23,080
+طبعا اتكلم دي اللي هي عدد ال attribute و بروح اللي
+
+136
+00:09:23,080 --> 00:09:28,300
+بجسمليها لمجموعات بجسم ال rows ال instances أو ال
+
+137
+00:09:28,300 --> 00:09:33,860
+points هاي بجسمليها لمجموعات عبارة عن مجموعات أو
+
+138
+00:09:33,860 --> 00:09:46,740
+طبعااللي ب guess ال point هذه لمجموعات اصغر ب
+
+139
+00:09:46,740 --> 00:09:51,060
+guess similarly عفوا اللي قولنا احنا كمان مرة ان
+
+140
+00:09:51,060 --> 00:09:56,440
+فكرة ال algorithm بياخد ال points اللي موجودة
+
+141
+00:09:56,440 --> 00:10:00,220
+عندها بغض النظر عن ال space او ال dimensionality
+
+142
+00:10:00,220 --> 00:10:05,440
+تبعتهالكن كل ال points أو ال data set تبعتي على
+
+143
+00:10:05,440 --> 00:10:09,560
+نفس العدد من ال attributes ثابتة بروح بجسمليها
+
+144
+00:10:09,560 --> 00:10:12,760
+لمجموعات أصغر يعني بين جوسين كانت والله عندي ال
+
+145
+00:10:12,760 --> 00:10:15,780
+data set فيها مائة ألف record وقلتله جسمليها لتلت
+
+146
+00:10:15,780 --> 00:10:18,980
+مجموعات المائة ألف هدولة بتجسموا على تلت مجموعات
+
+147
+00:10:18,980 --> 00:10:25,500
+حتماEach cluster consists of a point that are near
+
+148
+00:10:25,500 --> 00:10:31,080
+to some in some sense وهذه النقاط في كل مجموعة
+
+149
+00:10:31,080 --> 00:10:36,460
+متشابهة بشكل او باخر طبعا لما نتكلم على ال similar
+
+150
+00:10:36,460 --> 00:10:41,660
+أو العلاقة related similar to another في نفس
+
+151
+00:10:41,660 --> 00:10:46,640
+المجموعة عناصر المجموعة الواحدة متشابهة وعناصر
+
+152
+00:10:46,640 --> 00:10:49,860
+المجموعات المختلفة غير متشابهة
+
+153
+00:10:52,050 --> 00:10:58,450
+هذا المصطلح أهم و more professional أن الـ intra
+
+154
+00:10:58,450 --> 00:11:03,050
+distance أو ال cluster distance يجب أن يكون قليل
+
+155
+00:11:06,170 --> 00:11:10,330
+كان المسافة ما بين عناصر ال in instance أو ال
+
+156
+00:11:10,330 --> 00:11:14,550
+cluster الواحدة تكون قصيرة جدا ليس منها in
+
+157
+00:11:14,550 --> 00:11:20,110
+instance او ال distance لما بتكلم على distance يا
+
+158
+00:11:20,110 --> 00:11:24,310
+جماعة الخير لو تخيل ان في اتنين متطابقين او
+
+159
+00:11:24,310 --> 00:11:30,150
+متشابهين المسافة بينهم جديش صفر أصبحلكن لما يكون
+
+160
+00:11:30,150 --> 00:11:34,690
+المختلفين المسافة بينهم أبعد ما يمكن وبالتالي انا
+
+161
+00:11:34,690 --> 00:11:37,670
+بقى اتكلم انه لازم يكون في عند ال Inter distance
+
+162
+00:11:37,670 --> 00:11:42,270
+أبعد ما يمكن و ال intra distance أصغر ما يمكن
+
+163
+00:11:42,270 --> 00:11:46,830
+وبهيك انا بكون نجحت في تقسيم المجموعات اللي موجودة
+
+164
+00:11:46,830 --> 00:11:51,940
+عندها طبعا لو انا بده اعمل مقارنة فعليا ما بينالـ
+
+165
+00:11:51,940 --> 00:11:55,440
+Clustering و الـ Classification بناء على ال data
+
+166
+00:11:55,440 --> 00:11:59,220
+اللي موجودة عندي طبعا الرسم الأولى اللي فوق بتمثل
+
+167
+00:11:59,220 --> 00:12:03,700
+classification و الرسم اللي تحت بتمثل ال
+
+168
+00:12:03,700 --> 00:12:05,820
+clustering طبعا اللي بتكلم عن ال classification
+
+169
+00:12:05,820 --> 00:12:09,520
+يعني ان في عندي label لازم يكون label هي ال label
+
+170
+00:12:09,520 --> 00:12:13,960
+النقاط اللي باللون الأخضر proteins و اللي باللون
+
+171
+00:12:13,960 --> 00:12:18,120
+البن الغامق هذا او البن الداكن هي عبارة عن ال
+
+172
+00:12:18,120 --> 00:12:22,870
+genes و معناته ان لازم يكون في عندي ruleيخصص كل
+
+173
+00:12:22,870 --> 00:12:26,950
+point ل label واضح طبعا ال rule هذا زي ما بنعرف في
+
+174
+00:12:26,950 --> 00:12:32,270
+ال prediction أو في هاي في عندي هذا الخط الفاصل هو
+
+175
+00:12:32,270 --> 00:12:36,010
+العناصر الموجرة يعني لو انا اجيت تبعا لل variable
+
+176
+00:12:36,010 --> 00:12:40,510
+الأول و قلت والله لو كان ال variable الأول تبعي
+
+177
+00:12:40,510 --> 00:12:49,550
+قيمته كذامعناته هذا هيكون أكبر أو تساوي X معناته
+
+178
+00:12:49,550 --> 00:12:59,030
+أنا بتكلم على أن هذا هيكون مع ال label اللي موجود
+
+179
+00:12:59,030 --> 00:13:02,970
+كمان مرة بقول لو أنا إجيت فعليا الخط هذا هو بمثل
+
+180
+00:13:02,970 --> 00:13:06,470
+المعادلة أو ال role تبعتي في ال classification لو
+
+181
+00:13:06,470 --> 00:13:09,510
+أنا خدت خط مستقيب ل high على ال point اللي عندي
+
+182
+00:13:09,510 --> 00:13:14,880
+هنابالشكل هذا او اتكلمت فعليا انا هي العناصر اللي
+
+183
+00:13:14,880 --> 00:13:19,660
+موجودة عندي هناأنا فعلياً لما تكون ال point تبعتي
+
+184
+00:13:19,660 --> 00:13:24,700
+بالنسبة لل variable الأول أكبر أو تساوي X معناته
+
+185
+00:13:24,700 --> 00:13:29,020
+هذا genes otherwise بكون ال protein وهذا معادلة
+
+186
+00:13:29,020 --> 00:13:31,640
+الخط المستقيم زي ما في عندي classifier اسمه
+
+187
+00:13:31,640 --> 00:13:34,560
+support vector machine هو عبارة عن أفضل line يفصل
+
+188
+00:13:34,560 --> 00:13:38,120
+ما بين العناصر الموجودة طبعاً بهذا supervised
+
+189
+00:13:38,120 --> 00:13:41,880
+learning في ال non-clustering أو عفوا في ال
+
+190
+00:13:41,880 --> 00:13:47,580
+unsupervised في ال clustering أنا ماعنديش labelأنا
+
+191
+00:13:47,580 --> 00:13:52,140
+مجرد و اتجمعت البيانات بناء على ال similarity على
+
+192
+00:13:52,140 --> 00:13:55,980
+التشابه اللي بينها كلهم متشابهين مع بعض بناء على
+
+193
+00:13:55,980 --> 00:14:00,100
+ال distance اللي موجودة ال distance بين أي نقطين
+
+194
+00:14:00,100 --> 00:14:04,920
+اللي هي ال intra distance لازم تكون أصغر من أقرب
+
+195
+00:14:04,920 --> 00:14:11,900
+نقطين يعني أكبر intra distance لازم تكون أقصر من
+
+196
+00:14:11,900 --> 00:14:19,350
+أيمن اكتر الـ Inter distance كمان مرة بقول انه في
+
+197
+00:14:19,350 --> 00:14:23,190
+ال clustering لما انا بأجي بتكلم هنا انه المفروض
+
+198
+00:14:23,190 --> 00:14:31,030
+ال اقوى ال intra distance المفروض تكون عندى اقصر
+
+199
+00:14:31,030 --> 00:14:36,170
+من ال inter distance اللى موجودة اللى هنا لو انا
+
+200
+00:14:36,170 --> 00:14:40,310
+اجيت و قلتلك ان هذه ال data اللى عندي هي عبارة عن
+
+201
+00:14:40,310 --> 00:14:45,330
+data عشان نوضح الموضوع ال clusteringطبعاً عندما
+
+202
+00:14:45,330 --> 00:14:49,930
+أتكلم عن الوضع في البيانات يعني أنني أتكلم عن
+
+203
+00:14:49,930 --> 00:14:54,630
+توزيع البيانات وبشوف رسم أو هيكرية البيانات اللي
+
+204
+00:14:54,630 --> 00:14:58,650
+موجودة عندي لو أنا أتقعد نشوف بالمثال في البسيط
+
+205
+00:14:58,650 --> 00:15:02,530
+هذا جاب من ال .. لو أجيت و قلت أن ال data هيبتمثل
+
+206
+00:15:02,530 --> 00:15:06,970
+ال customer purchases و أجيت و قلت كالتالي هدق
+
+207
+00:15:06,970 --> 00:15:10,130
+طبعاً أنا ميزت هان بالألوان عشان أسهل عليكم عملية
+
+208
+00:15:10,130 --> 00:15:15,420
+الاستيعاب اللي هتصير كالتاليأنا فعليا لو أدرس
+
+209
+00:15:15,420 --> 00:15:19,360
+البيانات اللى موجودة عندى هان اللى باللون الأحمر
+
+210
+00:15:19,360 --> 00:15:23,640
+هي عبارة عن مجموعة من القطع الصغيرة أو عفوا
+
+211
+00:15:23,640 --> 00:15:29,760
+الأعداد القليلة واللي أسعارها عالية جدا يعنى عندى
+
+212
+00:15:29,760 --> 00:15:38,280
+1700 على 2 بتكلم في حدود 6850 3000 على 2000 على
+
+213
+00:15:38,280 --> 00:15:45,880
+3000 بتكلم على 660 تقريبابنتكلم على 2300 على 4
+
+214
+00:15:45,880 --> 00:15:50,580
+بينما اللي تحت بنتكلم على أعداد أعداد كبيرة و
+
+215
+00:15:50,580 --> 00:15:55,200
+أسعار قليلة بينما اللي تحت أعداد قليلة و أسعار
+
+216
+00:15:55,200 --> 00:16:00,020
+قليلة، مظبوط؟ لأ لو أنا بدي أجي أجسم، معناته هيكون
+
+217
+00:16:00,020 --> 00:16:02,480
+التقسيم في ال cluster الأول اللي على أسر باللون
+
+218
+00:16:02,480 --> 00:16:08,220
+الأحمر اللي هي few purchases with high pricesطبعا
+
+219
+00:16:08,220 --> 00:16:10,620
+احنا جماعة الخير واحد و اتنين و تلات اللي هي ال
+
+220
+00:16:10,620 --> 00:16:13,660
+raw number اللي باللون الأسود أنا مش ملونها معنى
+
+221
+00:16:13,660 --> 00:16:16,300
+هان عشان اقولك ان هذه ماتدخل في التصنيف مالهاش
+
+222
+00:16:16,300 --> 00:16:22,060
+داخل لأن ممكن ال data تكون عند هان shuffled، not
+
+223
+00:16:22,060 --> 00:16:22,880
+ordered
+
+224
+00:16:25,670 --> 00:16:30,370
+طيب ال cluster التاني هي عبارة عن money prices او
+
+225
+00:16:30,370 --> 00:16:34,610
+purchase money فهي عندى مجموعة عالية من ال items
+
+226
+00:16:34,610 --> 00:16:39,530
+عالية و ال purchases تبعتى high prices كذلك وهذه
+
+227
+00:16:39,530 --> 00:16:42,370
+اللى باللون الأزرق كذلك باللون الأخضر لما انا
+
+228
+00:16:42,370 --> 00:16:47,470
+بتكلم ان ال customer بيشتري مجموعة قليلة من
+
+229
+00:16:47,470 --> 00:16:52,510
+العناصر باسعار قليلة أو باسعار زهيدة نوعا ما تمام
+
+230
+00:16:54,270 --> 00:16:57,630
+طبعاً وين المجالات أو وين التطبيقات اللي ممكن انا
+
+231
+00:16:57,630 --> 00:17:01,750
+اشغل فيها اعفوا اشغل فيها او اطبق فيها ال
+
+232
+00:17:01,750 --> 00:17:05,590
+clustering العديد من المجالات في ال target
+
+233
+00:17:05,590 --> 00:17:11,230
+marketing في التسويق الموجه لما انا حابب استكشف من
+
+234
+00:17:11,230 --> 00:17:15,950
+الناس اللي ممكن يشتريهالإبداع تبعتي و أروح أوجه
+
+235
+00:17:15,950 --> 00:17:20,910
+لهم الإعلانات أو أعرض عليهم المنتج تبعي مثلا انا و
+
+236
+00:17:20,910 --> 00:17:27,750
+الله لو جينا سألنا انا عمال بعمل تطبيق IOS عشان
+
+237
+00:17:27,750 --> 00:17:32,670
+يتكلم او بعملي high prediction لضغط الدم و عدد
+
+238
+00:17:32,670 --> 00:17:37,450
+ضربات القلب و الاخره مين المعنيين لو انا بده اروح
+
+239
+00:17:37,450 --> 00:17:42,950
+ادور في ال data او بده احاول استكشفعندي data set
+
+240
+00:17:42,950 --> 00:17:45,830
+لل customers اللي بيشتغلوا applications ممكن انا
+
+241
+00:17:45,830 --> 00:17:48,430
+اروح ادور على فئة الناس اللي ممكن تشتري ال
+
+242
+00:17:48,430 --> 00:17:51,230
+application هذا من خلال اما من خلال ال similarity
+
+243
+00:17:51,230 --> 00:17:55,390
+او من خلال الاهتمامات
+
+244
+00:17:55,390 --> 00:17:59,510
+تبعتهم في الآخر لازم بلاقي بين العناصر هدولة شغلات
+
+245
+00:17:59,510 --> 00:18:02,670
+مشتركة وممكن انا اتوجههم لانه ممكن اتوجههم لكل
+
+246
+00:18:02,670 --> 00:18:05,950
+المجموعات فلما انا بروح و اجسمهم لمجموعات بلاقي
+
+247
+00:18:05,950 --> 00:18:13,310
+حتما مجموعة فيها هذه العناصرفي ال genomics أو في
+
+248
+00:18:13,310 --> 00:18:17,730
+علم الجينات ممكن انا اروح اصنف الجينات كذلك او
+
+249
+00:18:17,730 --> 00:18:21,310
+عفوا اقسم الجينات لمجموعات في ال astronomy او في
+
+250
+00:18:21,310 --> 00:18:26,670
+علم الفضاء عشان اصنف او اجسم المجموعات او اوجد
+
+251
+00:18:26,670 --> 00:18:30,470
+مجموعات لل similar stars و ال galaxies و المجارات
+
+252
+00:18:30,470 --> 00:18:33,660
+اللي موجودة عندىفي ال insurance أو في التأمين عشان
+
+253
+00:18:33,660 --> 00:18:37,460
+اعرف في المجموعات اللي انا فعليا كيف ممكن اعرف
+
+254
+00:18:37,460 --> 00:18:44,420
+فيها ال vehicles او انصدر او اقسم بوليست التأمين
+
+255
+00:18:44,420 --> 00:18:48,240
+حسب ال holder اللي موجود عندها لو جديش قيمة ال
+
+256
+00:18:48,240 --> 00:18:51,200
+insuranceفي ال city planning كذلك في التخطيط
+
+257
+00:18:51,200 --> 00:18:56,200
+الحضري للمدن كيف يتم جسمها لمجموعة من ال houses
+
+258
+00:18:56,200 --> 00:19:03,220
+بناء على أنواعهم وانواع سفرتهم و ال location أو ال
+
+259
+00:19:03,220 --> 00:19:07,260
+geographical location تبعتهم لكن أنا فعليا جامعة
+
+260
+00:19:07,260 --> 00:19:11,300
+الخيركل الكلام الجميل عن ال clustering في عندي من
+
+261
+00:19:11,300 --> 00:19:13,860
+ضمن الكلام كان في عندي مشكلة واضحة أو هي ال
+
+262
+00:19:13,860 --> 00:19:19,560
+challenge الأساسي في موضوع ال clustering فعليا إذا
+
+263
+00:19:19,560 --> 00:19:23,240
+ال data unlabeled يديش عدد ال clusters الحقيقية
+
+264
+00:19:23,240 --> 00:19:28,380
+اللي موجودة عندي لو أنا عرضت عنك ال data هاي كام
+
+265
+00:19:28,380 --> 00:19:34,600
+clusters؟ هاي ال data set unlabeled data مافيش
+
+266
+00:19:34,600 --> 00:19:38,000
+عليها أي علامات مميزة و سألتك هذه كام مجموعة؟
+
+267
+00:19:47,800 --> 00:19:55,400
+ممكن اكتر ؟ اه ممكن هاي اربع clusters هادول معبق
+
+268
+00:19:55,400 --> 00:20:06,910
+هادى لحال هادول لحال هادى لحال او هادلحال ممكن ستة
+
+269
+00:20:06,910 --> 00:20:10,630
+كذلك طب أي عدد فيهم الصح طب التلاتة ليش مش تلاتة؟
+
+270
+00:20:10,630 --> 00:20:14,130
+لو أنا قلت له تلاتة حاجة اسمهم على تلاتة مين الصح
+
+271
+00:20:14,130 --> 00:20:19,030
+فيهم؟ تين ولا تلاتة ولا أربعة ولا ستة ولا خمسة؟
+
+272
+00:20:19,030 --> 00:20:23,850
+مين؟ لأن ال label غايب عندي معناته انا في عندي
+
+273
+00:20:23,850 --> 00:20:26,810
+مشكلة او احنا بيقول في عندي challenge حقيقية لان
+
+274
+00:20:26,810 --> 00:20:32,480
+اقدر اقيمالـ Cluster Algorithm أو الـ Behavior تبع
+
+275
+00:20:32,480 --> 00:20:34,340
+الـ Cluster Algorithm علشان هي بيقول الـ
+
+276
+00:20:34,340 --> 00:20:39,120
+Clustering can be ambiguous ممكن يكون مضلل، مضلل
+
+277
+00:20:39,120 --> 00:20:42,600
+يعني مش واضح أو ضبابي في التعامل اللي موجود عندها
+
+278
+00:20:43,850 --> 00:20:46,950
+الـ Clustering Types لما أتكلم على الـ Clustering
+
+279
+00:20:46,950 --> 00:20:51,630
+Types المعنى هو .. ال .. ال Clustering هي عبارة عن
+
+280
+00:20:51,630 --> 00:20:56,110
+مجموعة من الست في ال clusters وهذه تراوح مجموعات
+
+281
+00:20:56,110 --> 00:20:59,010
+ال clusters هذه إما ما بين ال hierarchical أو ال
+
+282
+00:20:59,010 --> 00:21:03,830
+partitional ال cluster إما بتكون هرمي أو تجزيئي أو
+
+283
+00:21:03,830 --> 00:21:06,810
+تقطيعي ال clusters اللي موجودة لما أتكلم على
+
+284
+00:21:06,810 --> 00:21:09,250
+partitional ال clustering معناته أنا بتكلم على
+
+285
+00:21:09,250 --> 00:21:15,790
+division لل dataعلى مجموعات غير متقاطعة انا بجسم
+
+286
+00:21:15,790 --> 00:21:20,310
+ال data objects أو ال instances اللي موجودة على
+
+287
+00:21:20,310 --> 00:21:25,870
+مجموعات غير متقاطعة وهذا ما نسميها non overlapping
+
+288
+00:21:25,870 --> 00:21:29,330
+clusters او non overlapping subsets او نسميها احنا
+
+289
+00:21:29,330 --> 00:21:36,230
+cluster وبالتالي كل element بكون موجود فقط في one
+
+290
+00:21:36,230 --> 00:21:40,140
+subsetبينما في الـ Hierarchical Clustering معناته
+
+291
+00:21:40,140 --> 00:21:45,860
+أنا بتكلم على set of nested clusters organized as
+
+292
+00:21:45,860 --> 00:21:49,720
+hierarchical tree وبالتالي لأ انا في عندي تقاطع ما
+
+293
+00:21:49,720 --> 00:21:53,060
+بين كل cluster و التاني لما ان في عندي هيكلية او
+
+294
+00:21:53,060 --> 00:21:56,660
+hierarchy هيرامية او في عندي tree معناته انا قاعد
+
+295
+00:21:56,660 --> 00:22:00,420
+في عندي عناصر اللي هتكون عندي ماخدة أشكال مختلفة
+
+296
+00:22:00,420 --> 00:22:03,660
+لو انا قلت هي ال data اللي عندي هان وبدأ اطبق
+
+297
+00:22:03,660 --> 00:22:07,660
+عليها partitionary clusteringمعناته ممكن هيكون
+
+298
+00:22:07,660 --> 00:22:10,860
+عبارة عن الـ Partition Different Partitional
+
+299
+00:22:10,860 --> 00:22:15,140
+Clustering لو انا افترضت انه بالـ Hierarchical
+
+300
+00:22:15,140 --> 00:22:17,660
+data معناته انا ممكن احيي الـ Hierarchical فكرة
+
+301
+00:22:17,660 --> 00:22:24,370
+انه اتنين و تلاتة هان في one clusterوالـ cluster
+
+302
+00:22:24,370 --> 00:22:27,870
+هذا مع أربعة كوّنوا cluster جديد مع واحد كوّنوا
+
+303
+00:22:27,870 --> 00:22:30,830
+cluster جديد وهذه طبعا بسميها traditional
+
+304
+00:22:30,830 --> 00:22:33,710
+hierarchical clustering بينما هذه بسميها
+
+305
+00:22:33,710 --> 00:22:37,850
+dendrogram وطبعا الـ dendrogram بيبين بشكل واضح
+
+306
+00:22:37,850 --> 00:22:41,290
+علاقة ال instances مع بعض يعني أنا واضح ان عندي
+
+307
+00:22:41,290 --> 00:22:47,950
+اتنين و تلاتة انجمعوا بعدين انجمع لهم أربعة و
+
+308
+00:22:47,950 --> 00:22:54,500
+بعدين انجمع لكل اللي هي واحدةكذلك هنا هنا الـ non
+
+309
+00:22:54,500 --> 00:22:56,940
+-traditional الهيراريكال .. الهيراريكال طبعا ال
+
+310
+00:22:56,940 --> 00:22:59,740
+traditional في كل مرة انا عمالي بضيف point لكن في
+
+311
+00:22:59,740 --> 00:23:02,220
+ال non-traditional لأ ممكن تكون الأمور شوية مختلفة
+
+312
+00:23:02,220 --> 00:23:05,500
+ممكن بي واحد و بي اتنين مع بعض بي اتنين و بي تلاتة
+
+313
+00:23:05,500 --> 00:23:08,840
+مع بعض بي تلاتة و بي أربعة و هدول كلهم موجودين مع
+
+314
+00:23:08,840 --> 00:23:13,200
+بعض و هده هي في ال dendogram اللي بتظهر عندنا ان
+
+315
+00:23:13,200 --> 00:23:16,840
+شاء الله تعالى في التسجيل الجاي هروح باتجاه ال
+
+316
+00:23:16,840 --> 00:23:20,300
+partitional clustering أشوفكم على خير ان شاء الله
+
+317
+00:23:20,300 --> 00:23:21,640
+و السلام عليكم و مرحبا لله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..078767b509ea417164ad518f595cc717e15b5d17
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/0qyAh66hZ2s_raw.srt
@@ -0,0 +1,1268 @@
+1
+00:00:01,180 --> 00:00:03,500
+بسم الله الرحمن الرحيم الصلاة والسلام على رسول
+
+2
+00:00:03,500 --> 00:00:09,210
+اللهأهلا و سهلا بكم في محاضرة جديدة من وثائق تقييم
+
+3
+00:00:09,210 --> 00:00:12,350
+البيانات اليوم ان شاء الله هتتكلم على ال second
+
+4
+00:00:12,350 --> 00:00:16,890
+mining task او ال third mining task اللي هي ال
+
+5
+00:00:16,890 --> 00:00:20,750
+clustering طبعا احنا كنا بتكلمنا سابقا ان ال
+
+6
+00:00:20,750 --> 00:00:24,490
+mining task تنقسم من ال predictive او ال
+
+7
+00:00:24,490 --> 00:00:26,870
+descriptive و ال predictive اتكلمنا عن ال
+
+8
+00:00:26,870 --> 00:00:28,990
+classification و ال regression و ال recommendation
+
+9
+00:00:28,990 --> 00:00:31,470
+اليوم طبعا ال recommendation ما شرحناها عشان
+
+10
+00:00:31,470 --> 00:00:34,170
+اتكلمنا عن classification و regressionواليوم إن
+
+11
+00:00:34,170 --> 00:00:36,710
+شاء الله تعالى هنتكلم .. نبدأ في الـ descriptive
+
+12
+00:00:36,710 --> 00:00:41,370
+task هنتكلم على ال clustering طب لما احنا بنتكلم
+
+13
+00:00:41,370 --> 00:00:43,910
+على ال clustering بنتكلم على unsupervised learning
+
+14
+00:00:43,910 --> 00:00:46,750
+وهذا نوع من ال machine learning اللي بتعلم من ال
+
+15
+00:00:46,750 --> 00:00:51,650
+test data يعني انا بهمني انه البيانات تبعتي مايكون
+
+16
+00:00:51,650 --> 00:00:55,030
+لهاش label هذا مفهوم ال test data ان ال test data
+
+17
+00:00:55,030 --> 00:00:59,090
+انه label مش موجود that has not been labeled
+
+18
+00:00:59,090 --> 00:01:04,580
+مالهاش labelclassified or categorized ما تمش
+
+19
+00:01:04,580 --> 00:01:09,020
+تصنيفها أو تقسيمها قبل هيك بال unsupervised
+
+20
+00:01:09,020 --> 00:01:14,400
+learning على خلاف كل ال machine learning مافيش
+
+21
+00:01:14,400 --> 00:01:19,420
+عندي output معروف مسبقا وبالتالي مافيش عندي
+
+22
+00:01:19,420 --> 00:01:22,320
+teacher أو instruction مافيش عندي أي structure لل
+
+23
+00:01:22,320 --> 00:01:25,700
+learning algorithm فحين انه في ال supervised
+
+24
+00:01:25,700 --> 00:01:28,020
+learning سواء كان في ال regression أو كان في ال
+
+25
+00:01:28,020 --> 00:01:32,840
+classification كان عندي واضحالـ label هو ال
+
+26
+00:01:32,840 --> 00:01:36,180
+guidance تبعي أو هو المعلم تبعي إيه الشغلات اللي
+
+27
+00:01:36,180 --> 00:01:39,260
+أنا بديها وإيه ال role اللي أنا كنت بحاول أحصل
+
+28
+00:01:39,260 --> 00:01:41,920
+عليها ال unsupervised learning ال learning
+
+29
+00:01:41,920 --> 00:01:47,880
+algorithm فقط بأعرض عليه البيانات و بأطلب يعمل
+
+30
+00:01:47,880 --> 00:01:50,840
+extract لل knowledge طبعا extract لل knowledge هان
+
+31
+00:01:50,840 --> 00:01:54,500
+إما بتقسيمهم لمجموعات أو يقول لي إيش ال frequent
+
+32
+00:01:54,500 --> 00:01:57,720
+pattern فيهم زي ما في ال association rules إلى
+
+33
+00:01:57,720 --> 00:02:02,710
+آخرينطبعاً لما اتكلم في الـ unsupervised learning
+
+34
+00:02:02,710 --> 00:02:06,530
+بدل
+
+35
+00:02:06,530 --> 00:02:11,390
+ما انا اخد feedback و
+
+36
+00:02:11,390 --> 00:02:15,070
+اقارب الـ unsupervised learning بعرف ال
+
+37
+00:02:15,070 --> 00:02:19,510
+communities أو الشغلات المشتركة في ال data الشغلات
+
+38
+00:02:19,510 --> 00:02:23,230
+ال common اللي موجودة اللي بتتشارك فيها مجمع معظم
+
+39
+00:02:23,230 --> 00:02:28,960
+ال instances اللي موجودة عنديوبتقرر .. وبت .. اللي
+
+40
+00:02:28,960 --> 00:02:32,640
+بعرف .. بعد ما بتقرر على الشغلات ال common هاي أو
+
+41
+00:02:32,640 --> 00:02:36,760
+الشغلات المشتركة هاي بناء عليها بتتصرف اما بتقرر
+
+42
+00:02:36,760 --> 00:02:41,420
+.. يعني بتتصرف وبصير ال algorithm بناء على وجود أو
+
+43
+00:02:41,420 --> 00:02:45,940
+عدم وجود ال properties أو ال common properties
+
+44
+00:02:45,940 --> 00:02:49,440
+اللي موجود عنده يعني يعني تخيل انا لو انا في عندى
+
+45
+00:02:49,440 --> 00:02:53,910
+مجموعة من الصور وقولنا بدنا نصنفهممجموعة من الصور
+
+46
+00:02:53,910 --> 00:02:56,290
+وانا بدي أصنفهم معناته حتى اللي عرف المحتوى الصور
+
+47
+00:02:56,290 --> 00:03:01,830
+واصيرك والله ان التصنيف هذا بيتبع كده او يتبع كده
+
+48
+00:03:01,830 --> 00:03:05,230
+الـ unsupervised learning زي ما قلناه عبارة عن
+
+49
+00:03:05,230 --> 00:03:09,330
+descriptive model في اكتر من نوع في ال
+
+50
+00:03:09,330 --> 00:03:11,590
+unsupervised learning زي ما بنعرف سابقا ل
+
+51
+00:03:11,590 --> 00:03:14,630
+clustering طبعا شفناها في المقدمة تابعة المساق ل
+
+52
+00:03:14,630 --> 00:03:18,930
+clustering معناته انا بدي اجسم ال data instances
+
+53
+00:03:18,930 --> 00:03:27,350
+اللي موجودة عندي لمجموعة منالـ groups طبعاً مجموع
+
+54
+00:03:27,350 --> 00:03:32,050
+الـ groups هذه عددها معروف مسبقاً طب من هنا علشان
+
+55
+00:03:32,050 --> 00:03:35,870
+نتم تجميعهم بدنا ندرس صفات ال properties هاي
+
+56
+00:03:35,870 --> 00:03:38,970
+وتجميعهم مع بعضهم ال anomaly detection أو ال
+
+57
+00:03:38,970 --> 00:03:42,030
+outlier detection أروح أدور على ال unusual أو
+
+58
+00:03:42,030 --> 00:03:48,270
+الشغلات النادرة في ال data set اللي موجودة عندها و
+
+59
+00:03:48,270 --> 00:03:53,390
+أظهرهاالـ association rules لما انا بتكلم على ال
+
+60
+00:03:53,390 --> 00:03:58,570
+patterns و بدور على ال frequent pattern اللي ممكن
+
+61
+00:03:58,570 --> 00:04:02,410
+تكون موجود عندي و ارتباط العناصر و اشوف ارتباط
+
+62
+00:04:02,410 --> 00:04:06,660
+القوانين او ارتباط ال data مع بعضهاعشان أقدر أبني
+
+63
+00:04:06,660 --> 00:04:10,060
+decision وفي عندي transformation اللي هي فعليا أنا
+
+64
+00:04:10,060 --> 00:04:13,760
+أقدر أحول ال data ل data set مختلفة عشان أقدر
+
+65
+00:04:13,760 --> 00:04:18,480
+أرسمها أو أقدر أتعامل معاها بشكل أبسط احنا طبعا
+
+66
+00:04:18,480 --> 00:04:22,980
+هنتكلم على ال course هذا ال clustering و ال
+
+67
+00:04:22,980 --> 00:04:27,600
+association rules طبعا لما نتكلم فعلا ال
+
+68
+00:04:27,600 --> 00:04:31,380
+clustering معناته ال clustering algorithm بده يروح
+
+69
+00:04:31,380 --> 00:04:36,680
+يجسم ال data set اللي عندي ل distinct groupsالجروب
+
+70
+00:04:36,680 --> 00:04:42,780
+هذي معروفة مسبقا تخيل
+
+71
+00:04:42,780 --> 00:04:48,320
+ان ال raw data تبعتي هي عبارة عن سلة الفواكه رمضان
+
+72
+00:04:48,320 --> 00:04:51,600
+كريم ان شاء الله كل عام طيبين ان شاء الله سلة
+
+73
+00:04:51,600 --> 00:04:54,580
+الفواكه هي عبارة عن ال input data ال raw data
+
+74
+00:04:54,580 --> 00:05:00,580
+تبعتي وانا قلت بدي اجسمها لتلت مجموعاتطبيعي ال
+
+75
+00:05:00,580 --> 00:05:05,060
+algorithm هيدرس خصائص العناصر كلياتها يعرف العناصر
+
+76
+00:05:05,060 --> 00:05:08,260
+المشتركة ويحدد العناصر المشتركة وبالتالي هيقول لي
+
+77
+00:05:08,260 --> 00:05:12,700
+في عندك مجموعة التفاح ومجموعة الموز ومجموعة
+
+78
+00:05:12,700 --> 00:05:17,360
+المانجو هذا لما قلت له جسم ليها لتلت مجموعات
+
+79
+00:05:17,360 --> 00:05:19,940
+متذكرين ال definition السابق؟ انا قلت لها
+
+80
+00:05:19,940 --> 00:05:25,040
+predefine او predetermine number of groups لازم
+
+81
+00:05:25,040 --> 00:05:30,110
+احدده مسبقاتمام طيب لو انا روح قولتله ل مجموعتين
+
+82
+00:05:30,110 --> 00:05:35,970
+روحت قولتله جسملي اياهم لمجموعتين مش تلات مجموعات
+
+83
+00:05:35,970 --> 00:05:42,070
+دراسة العناصر هاي و هيروح و كأنه هيقوللي انه هذه
+
+84
+00:05:42,070 --> 00:05:45,990
+انا بتوقع ان يكون هذه التفاح و المانجو في مجموعة و
+
+85
+00:05:45,990 --> 00:05:49,690
+الموز في مجموعة تانية لأن الشكل و اللون مختلف بعاد
+
+86
+00:05:49,690 --> 00:05:54,430
+كتير عنبعضهم وبالتالي عدد المجموعات هو اللي يلعب
+
+87
+00:05:54,430 --> 00:05:57,370
+دور طبعا يا جماعة الخير كل ما كان عندى عدد
+
+88
+00:05:57,370 --> 00:06:00,950
+المجموعات اللي انا بتديها تبعتي هو الصح معناته انا
+
+89
+00:06:00,950 --> 00:06:04,370
+بأشتغل عليها بشكل كويس أو بكون عندى النتيجة تبعتي
+
+90
+00:06:04,370 --> 00:06:09,310
+صح لما بتكلم في ال clustering معناته انا بتكلم ان
+
+91
+00:06:09,310 --> 00:06:13,250
+ال method تبعتي هي ال .. ال .. او ال clustering هي
+
+92
+00:06:13,250 --> 00:06:17,470
+عبارة عن method بتجسم البيانات اللي بتشارك
+
+93
+00:06:19,620 --> 00:06:26,360
+الصفات المشتركة أو الـ similar trend and better
+
+94
+00:06:26,360 --> 00:06:32,520
+يعني ان ال instances هتتوزع بناء على محتوى على
+
+95
+00:06:32,520 --> 00:06:36,820
+احتوائها على مجموعة من الشغلات المشتركة يعني هيكون
+
+96
+00:06:36,820 --> 00:06:40,140
+في عندي تشابه كبير جدا ما بين العناصر اللي في
+
+97
+00:06:40,140 --> 00:06:45,200
+المجموعة الواحدة الهدف الأساسي فعليا من ال
+
+98
+00:06:45,200 --> 00:06:48,660
+clustering معناته هو عبارة عن split up تقسيم ال
+
+99
+00:06:48,660 --> 00:06:56,200
+dataبطريقة طبعا تقسمها ل groups بطريقة ان النقاط
+
+100
+00:06:56,200 --> 00:06:59,220
+اللي في ال cluster الواحد او في المجموعة الواحدة
+
+101
+00:06:59,220 --> 00:07:03,820
+are very similar متشابهة جدا عشان هيك كانت في
+
+102
+00:07:03,820 --> 00:07:08,920
+الرسم السابق هان لما اتكلمنا كان التفاح لحال
+
+103
+00:07:08,920 --> 00:07:12,400
+المانجو لحال و الموز لحال و لما قلتلك انا بتقسمهم
+
+104
+00:07:12,400 --> 00:07:16,460
+لمجموعتين مش لتلات مجموعاتمعناه تقول نحن هنا
+
+105
+00:07:16,460 --> 00:07:21,980
+نضيفهم على مع بعضهم لكن الان ايش الشغلات المشتركة
+
+106
+00:07:21,980 --> 00:07:25,280
+اللي انت اعتمدت عليها الحجم مثلا و اللون لكن لو
+
+107
+00:07:25,280 --> 00:07:27,640
+واحد ايجي جالي والله انا بتقسمهم هالنا مجموعتين
+
+108
+00:07:27,640 --> 00:07:32,400
+بناء على طبيعة الفاكهة اللي موجودة هاي وبالتالي
+
+109
+00:07:32,400 --> 00:07:35,660
+احنا نتكلم في عندي فواكه استوائية ال mango و الموز
+
+110
+00:07:35,660 --> 00:07:42,040
+فاكهة استوائية ولا لأ وبالتالي ممكن يكون تصنيف في
+
+111
+00:07:42,040 --> 00:07:46,540
+الآخرمافيش عندي قرار صحيح مائة في المائة أن
+
+112
+00:07:46,540 --> 00:07:50,520
+التقسيمة تبعتي هذه صح أو .. لكن بقدر أقول والله
+
+113
+00:07:50,520 --> 00:07:53,820
+التقسيمة هذه أصح من هذه التقسيمة بناء على معرفتي
+
+114
+00:07:53,820 --> 00:07:56,640
+بالبيانات اللي موجودة عندها طبعا ال similarity
+
+115
+00:07:56,640 --> 00:08:01,640
+طبعا التشابه ما بين ال algorithm for the
+
+116
+00:08:01,640 --> 00:08:03,600
+unsupervised learning و ال classification
+
+117
+00:08:03,600 --> 00:08:08,820
+algorithm أنه ال cluster algorithm بيخصص أو بتنبأ
+
+118
+00:08:08,820 --> 00:08:11,780
+رقم المجموعة
+
+119
+00:08:14,590 --> 00:08:16,970
+للـ point يعني انا روح قلتله والله انا بدي تلت
+
+120
+00:08:16,970 --> 00:08:19,850
+مجموعات بروح بقولي هذه ال point في المجموعة رقم
+
+121
+00:08:19,850 --> 00:08:22,830
+واحد هذه ال point في المجموعة رقم اتنين هذه ال
+
+122
+00:08:22,830 --> 00:08:25,090
+point في المجموعة رقم تلاتة هذه ال point في
+
+123
+00:08:25,090 --> 00:08:29,550
+المجموعة رقم تلاتة وبالتالي هو بيعمل predict لرقم
+
+124
+00:08:29,550 --> 00:08:32,370
+المجموعة اللي انا قلبته من البداية عشان انا قلتله
+
+125
+00:08:32,370 --> 00:08:37,550
+بدي تلت مجموعات فهو هجسم ليهم تلت مجموعات طبعا و
+
+126
+00:08:37,550 --> 00:08:39,950
+هذه هي المفهوم التشابه اللي انا بتكلم عليه انهم
+
+127
+00:08:39,950 --> 00:08:45,040
+بنعمل prediction لالـ number بحيث انه فعليا كما زي
+
+128
+00:08:45,040 --> 00:08:48,480
+ما قلنا ان هذا ال number هي عبارة عن رقم المجموعة
+
+129
+00:08:48,480 --> 00:08:51,620
+أو رقم ال cluster اللي بيحتوي ال point اللي موجودة
+
+130
+00:08:51,620 --> 00:08:57,000
+عندها طبعا
+
+131
+00:08:57,000 --> 00:08:59,820
+لما بتكلم على ال clustering معناته ان انا بدي اخد
+
+132
+00:08:59,820 --> 00:09:07,020
+بيانات كلها في نفس ال space بتكلم على بيانات كلها
+
+133
+00:09:07,020 --> 00:09:13,040
+في نفس ال spaceفي مجموعات معينة يعني هذا الـ space
+
+134
+00:09:13,040 --> 00:09:17,240
+هو عبارة عن high dimensional ممكن يكون 2D, 3D, 4D
+
+135
+00:09:17,240 --> 00:09:23,080
+طبعا اتكلم دي اللي هي عدد ال attribute و بروح اللي
+
+136
+00:09:23,080 --> 00:09:28,300
+بجسمليها لمجموعات بجسم ال rows ال instances أو ال
+
+137
+00:09:28,300 --> 00:09:33,860
+points هاي بجسمليها لمجموعات عبارة عن مجموعات أو
+
+138
+00:09:33,860 --> 00:09:46,740
+طبعااللي ب guess ال point هذه لمجموعات اصغر ب
+
+139
+00:09:46,740 --> 00:09:51,060
+guess similarly عفوا اللي قولنا احنا كمان مرة ان
+
+140
+00:09:51,060 --> 00:09:56,440
+فكرة ال algorithm بياخد ال points اللي موجودة
+
+141
+00:09:56,440 --> 00:10:00,220
+عندها بغض النظر عن ال space او ال dimensionality
+
+142
+00:10:00,220 --> 00:10:05,440
+تبعتهالكن كل ال points أو ال data set تبعتي على
+
+143
+00:10:05,440 --> 00:10:09,560
+نفس العدد من ال attributes ثابتة بروح بجسمليها
+
+144
+00:10:09,560 --> 00:10:12,760
+لمجموعات أصغر يعني بين جوسين كانت والله عندي ال
+
+145
+00:10:12,760 --> 00:10:15,780
+data set فيها مائة ألف record وقلتله جسمليها لتلت
+
+146
+00:10:15,780 --> 00:10:18,980
+مجموعات المائة ألف هدولة بتجسموا على تلت مجموعات
+
+147
+00:10:18,980 --> 00:10:25,500
+حتماEach cluster consists of a point that are near
+
+148
+00:10:25,500 --> 00:10:31,080
+to some in some sense وهذه النقاط في كل مجموعة
+
+149
+00:10:31,080 --> 00:10:36,460
+متشابهة بشكل او باخر طبعا لما نتكلم على ال similar
+
+150
+00:10:36,460 --> 00:10:41,660
+أو العلاقة related similar to another في نفس
+
+151
+00:10:41,660 --> 00:10:46,640
+المجموعة عناصر المجموعة الواحدة متشابهة وعناصر
+
+152
+00:10:46,640 --> 00:10:49,860
+المجموعات المختلفة غير متشابهة
+
+153
+00:10:52,050 --> 00:10:58,450
+هذا المصطلح أهم و more professional أن الـ intra
+
+154
+00:10:58,450 --> 00:11:03,050
+distance أو ال cluster distance يجب أن يكون قليل
+
+155
+00:11:06,170 --> 00:11:10,330
+كان المسافة ما بين عناصر ال in instance أو ال
+
+156
+00:11:10,330 --> 00:11:14,550
+cluster الواحدة تكون قصيرة جدا ليس منها in
+
+157
+00:11:14,550 --> 00:11:20,110
+instance او ال distance لما بتكلم على distance يا
+
+158
+00:11:20,110 --> 00:11:24,310
+جماعة الخير لو تخيل ان في اتنين متطابقين او
+
+159
+00:11:24,310 --> 00:11:30,150
+متشابهين المسافة بينهم جديش صفر أصبحلكن لما يكون
+
+160
+00:11:30,150 --> 00:11:34,690
+المختلفين المسافة بينهم أبعد ما يمكن وبالتالي انا
+
+161
+00:11:34,690 --> 00:11:37,670
+بقى اتكلم انه لازم يكون في عند ال Inter distance
+
+162
+00:11:37,670 --> 00:11:42,270
+أبعد ما يمكن و ال intra distance أصغر ما يمكن
+
+163
+00:11:42,270 --> 00:11:46,830
+وبهيك انا بكون نجحت في تقسيم المجموعات اللي موجودة
+
+164
+00:11:46,830 --> 00:11:51,940
+عندها طبعا لو انا بده اعمل مقارنة فعليا ما بينالـ
+
+165
+00:11:51,940 --> 00:11:55,440
+Clustering و الـ Classification بناء على ال data
+
+166
+00:11:55,440 --> 00:11:59,220
+اللي موجودة عندي طبعا الرسم الأولى اللي فوق بتمثل
+
+167
+00:11:59,220 --> 00:12:03,700
+classification و الرسم اللي تحت بتمثل ال
+
+168
+00:12:03,700 --> 00:12:05,820
+clustering طبعا اللي بتكلم عن ال classification
+
+169
+00:12:05,820 --> 00:12:09,520
+يعني ان في عندي label لازم يكون label هي ال label
+
+170
+00:12:09,520 --> 00:12:13,960
+النقاط اللي باللون الأخضر proteins و اللي باللون
+
+171
+00:12:13,960 --> 00:12:18,120
+البن الغامق هذا او البن الداكن هي عبارة عن ال
+
+172
+00:12:18,120 --> 00:12:22,870
+genes و معناته ان لازم يكون في عندي ruleيخصص كل
+
+173
+00:12:22,870 --> 00:12:26,950
+point ل label واضح طبعا ال rule هذا زي ما بنعرف في
+
+174
+00:12:26,950 --> 00:12:32,270
+ال prediction أو في هاي في عندي هذا الخط الفاصل هو
+
+175
+00:12:32,270 --> 00:12:36,010
+العناصر الموجرة يعني لو انا اجيت تبعا لل variable
+
+176
+00:12:36,010 --> 00:12:40,510
+الأول و قلت والله لو كان ال variable الأول تبعي
+
+177
+00:12:40,510 --> 00:12:49,550
+قيمته كذامعناته هذا هيكون أكبر أو تساوي X معناته
+
+178
+00:12:49,550 --> 00:12:59,030
+أنا بتكلم على أن هذا هيكون مع ال label اللي موجود
+
+179
+00:12:59,030 --> 00:13:02,970
+كمان مرة بقول لو أنا إجيت فعليا الخط هذا هو بمثل
+
+180
+00:13:02,970 --> 00:13:06,470
+المعادلة أو ال role تبعتي في ال classification لو
+
+181
+00:13:06,470 --> 00:13:09,510
+أنا خدت خط مستقيب ل high على ال point اللي عندي
+
+182
+00:13:09,510 --> 00:13:14,880
+هنابالشكل هذا او اتكلمت فعليا انا هي العناصر اللي
+
+183
+00:13:14,880 --> 00:13:19,660
+موجودة عندي هناأنا فعلياً لما تكون ال point تبعتي
+
+184
+00:13:19,660 --> 00:13:24,700
+بالنسبة لل variable الأول أكبر أو تساوي X معناته
+
+185
+00:13:24,700 --> 00:13:29,020
+هذا genes otherwise بكون ال protein وهذا معادلة
+
+186
+00:13:29,020 --> 00:13:31,640
+الخط المستقيم زي ما في عندي classifier اسمه
+
+187
+00:13:31,640 --> 00:13:34,560
+support vector machine هو عبارة عن أفضل line يفصل
+
+188
+00:13:34,560 --> 00:13:38,120
+ما بين العناصر الموجودة طبعاً بهذا supervised
+
+189
+00:13:38,120 --> 00:13:41,880
+learning في ال non-clustering أو عفوا في ال
+
+190
+00:13:41,880 --> 00:13:47,580
+unsupervised في ال clustering أنا ماعنديش labelأنا
+
+191
+00:13:47,580 --> 00:13:52,140
+مجرد و اتجمعت البيانات بناء على ال similarity على
+
+192
+00:13:52,140 --> 00:13:55,980
+التشابه اللي بينها كلهم متشابهين مع بعض بناء على
+
+193
+00:13:55,980 --> 00:14:00,100
+ال distance اللي موجودة ال distance بين أي نقطين
+
+194
+00:14:00,100 --> 00:14:04,920
+اللي هي ال intra distance لازم تكون أصغر من أقرب
+
+195
+00:14:04,920 --> 00:14:11,900
+نقطين يعني أكبر intra distance لازم تكون أقصر من
+
+196
+00:14:11,900 --> 00:14:19,350
+أيمن اكتر الـ Inter distance كمان مرة بقول انه في
+
+197
+00:14:19,350 --> 00:14:23,190
+ال clustering لما انا بأجي بتكلم هنا انه المفروض
+
+198
+00:14:23,190 --> 00:14:31,030
+ال اقوى ال intra distance المفروض تكون عندى اقصر
+
+199
+00:14:31,030 --> 00:14:36,170
+من ال inter distance اللى موجودة اللى هنا لو انا
+
+200
+00:14:36,170 --> 00:14:40,310
+اجيت و قلتلك ان هذه ال data اللى عندي هي عبارة عن
+
+201
+00:14:40,310 --> 00:14:45,330
+data عشان نوضح الموضوع ال clusteringطبعاً عندما
+
+202
+00:14:45,330 --> 00:14:49,930
+أتكلم عن الوضع في البيانات يعني أنني أتكلم عن
+
+203
+00:14:49,930 --> 00:14:54,630
+توزيع البيانات وبشوف رسم أو هيكرية البيانات اللي
+
+204
+00:14:54,630 --> 00:14:58,650
+موجودة عندي لو أنا أتقعد نشوف بالمثال في البسيط
+
+205
+00:14:58,650 --> 00:15:02,530
+هذا جاب من ال .. لو أجيت و قلت أن ال data هيبتمثل
+
+206
+00:15:02,530 --> 00:15:06,970
+ال customer purchases و أجيت و قلت كالتالي هدق
+
+207
+00:15:06,970 --> 00:15:10,130
+طبعاً أنا ميزت هان بالألوان عشان أسهل عليكم عملية
+
+208
+00:15:10,130 --> 00:15:15,420
+الاستيعاب اللي هتصير كالتاليأنا فعليا لو أدرس
+
+209
+00:15:15,420 --> 00:15:19,360
+البيانات اللى موجودة عندى هان اللى باللون الأحمر
+
+210
+00:15:19,360 --> 00:15:23,640
+هي عبارة عن مجموعة من القطع الصغيرة أو عفوا
+
+211
+00:15:23,640 --> 00:15:29,760
+الأعداد القليلة واللي أسعارها عالية جدا يعنى عندى
+
+212
+00:15:29,760 --> 00:15:38,280
+1700 على 2 بتكلم في حدود 6850 3000 على 2000 على
+
+213
+00:15:38,280 --> 00:15:45,880
+3000 بتكلم على 660 تقريبابنتكلم على 2300 على 4
+
+214
+00:15:45,880 --> 00:15:50,580
+بينما اللي تحت بنتكلم على أعداد أعداد كبيرة و
+
+215
+00:15:50,580 --> 00:15:55,200
+أسعار قليلة بينما اللي تحت أعداد قليلة و أسعار
+
+216
+00:15:55,200 --> 00:16:00,020
+قليلة، مظبوط؟ لأ لو أنا بدي أجي أجسم، معناته هيكون
+
+217
+00:16:00,020 --> 00:16:02,480
+التقسيم في ال cluster الأول اللي على أسر باللون
+
+218
+00:16:02,480 --> 00:16:08,220
+الأحمر اللي هي few purchases with high pricesطبعا
+
+219
+00:16:08,220 --> 00:16:10,620
+احنا جماعة الخير واحد و اتنين و تلات اللي هي ال
+
+220
+00:16:10,620 --> 00:16:13,660
+raw number اللي باللون الأسود أنا مش ملونها معنى
+
+221
+00:16:13,660 --> 00:16:16,300
+هان عشان اقولك ان هذه ماتدخل في التصنيف مالهاش
+
+222
+00:16:16,300 --> 00:16:22,060
+داخل لأن ممكن ال data تكون عند هان shuffled، not
+
+223
+00:16:22,060 --> 00:16:22,880
+ordered
+
+224
+00:16:25,670 --> 00:16:30,370
+طيب ال cluster التاني هي عبارة عن money prices او
+
+225
+00:16:30,370 --> 00:16:34,610
+purchase money فهي عندى مجموعة عالية من ال items
+
+226
+00:16:34,610 --> 00:16:39,530
+عالية و ال purchases تبعتى high prices كذلك وهذه
+
+227
+00:16:39,530 --> 00:16:42,370
+اللى باللون الأزرق كذلك باللون الأخضر لما انا
+
+228
+00:16:42,370 --> 00:16:47,470
+بتكلم ان ال customer بيشتري مجموعة قليلة من
+
+229
+00:16:47,470 --> 00:16:52,510
+العناصر باسعار قليلة أو باسعار زهيدة نوعا ما تمام
+
+230
+00:16:54,270 --> 00:16:57,630
+طبعاً وين المجالات أو وين التطبيقات اللي ممكن انا
+
+231
+00:16:57,630 --> 00:17:01,750
+اشغل فيها اعفوا اشغل فيها او اطبق فيها ال
+
+232
+00:17:01,750 --> 00:17:05,590
+clustering العديد من المجالات في ال target
+
+233
+00:17:05,590 --> 00:17:11,230
+marketing في التسويق الموجه لما انا حابب استكشف من
+
+234
+00:17:11,230 --> 00:17:15,950
+الناس اللي ممكن يشتريهالإبداع تبعتي و أروح أوجه
+
+235
+00:17:15,950 --> 00:17:20,910
+لهم الإعلانات أو أعرض عليهم المنتج تبعي مثلا انا و
+
+236
+00:17:20,910 --> 00:17:27,750
+الله لو جينا سألنا انا عمال بعمل تطبيق IOS عشان
+
+237
+00:17:27,750 --> 00:17:32,670
+يتكلم او بعملي high prediction لضغط الدم و عدد
+
+238
+00:17:32,670 --> 00:17:37,450
+ضربات القلب و الاخره مين المعنيين لو انا بده اروح
+
+239
+00:17:37,450 --> 00:17:42,950
+ادور في ال data او بده احاول استكشفعندي data set
+
+240
+00:17:42,950 --> 00:17:45,830
+لل customers اللي بيشتغلوا applications ممكن انا
+
+241
+00:17:45,830 --> 00:17:48,430
+اروح ادور على فئة الناس اللي ممكن تشتري ال
+
+242
+00:17:48,430 --> 00:17:51,230
+application هذا من خلال اما من خلال ال similarity
+
+243
+00:17:51,230 --> 00:17:55,390
+او من خلال الاهتمامات
+
+244
+00:17:55,390 --> 00:17:59,510
+تبعتهم في الآخر لازم بلاقي بين العناصر هدولة شغلات
+
+245
+00:17:59,510 --> 00:18:02,670
+مشتركة وممكن انا اتوجههم لانه ممكن اتوجههم لكل
+
+246
+00:18:02,670 --> 00:18:05,950
+المجموعات فلما انا بروح و اجسمهم لمجموعات بلاقي
+
+247
+00:18:05,950 --> 00:18:13,310
+حتما مجموعة فيها هذه العناصرفي ال genomics أو في
+
+248
+00:18:13,310 --> 00:18:17,730
+علم الجينات ممكن انا اروح اصنف الجينات كذلك او
+
+249
+00:18:17,730 --> 00:18:21,310
+عفوا اقسم الجينات لمجموعات في ال astronomy او في
+
+250
+00:18:21,310 --> 00:18:26,670
+علم الفضاء عشان اصنف او اجسم المجموعات او اوجد
+
+251
+00:18:26,670 --> 00:18:30,470
+مجموعات لل similar stars و ال galaxies و المجارات
+
+252
+00:18:30,470 --> 00:18:33,660
+اللي موجودة عندىفي ال insurance أو في التأمين عشان
+
+253
+00:18:33,660 --> 00:18:37,460
+اعرف في المجموعات اللي انا فعليا كيف ممكن اعرف
+
+254
+00:18:37,460 --> 00:18:44,420
+فيها ال vehicles او انصدر او اقسم بوليست التأمين
+
+255
+00:18:44,420 --> 00:18:48,240
+حسب ال holder اللي موجود عندها لو جديش قيمة ال
+
+256
+00:18:48,240 --> 00:18:51,200
+insuranceفي ال city planning كذلك في التخطيط
+
+257
+00:18:51,200 --> 00:18:56,200
+الحضري للمدن كيف يتم جسمها لمجموعة من ال houses
+
+258
+00:18:56,200 --> 00:19:03,220
+بناء على أنواعهم وانواع سفرتهم و ال location أو ال
+
+259
+00:19:03,220 --> 00:19:07,260
+geographical location تبعتهم لكن أنا فعليا جامعة
+
+260
+00:19:07,260 --> 00:19:11,300
+الخيركل الكلام الجميل عن ال clustering في عندي من
+
+261
+00:19:11,300 --> 00:19:13,860
+ضمن الكلام كان في عندي مشكلة واضحة أو هي ال
+
+262
+00:19:13,860 --> 00:19:19,560
+challenge الأساسي في موضوع ال clustering فعليا إذا
+
+263
+00:19:19,560 --> 00:19:23,240
+ال data unlabeled يديش عدد ال clusters الحقيقية
+
+264
+00:19:23,240 --> 00:19:28,380
+اللي موجودة عندي لو أنا عرضت عنك ال data هاي كام
+
+265
+00:19:28,380 --> 00:19:34,600
+clusters؟ هاي ال data set unlabeled data مافيش
+
+266
+00:19:34,600 --> 00:19:38,000
+عليها أي علامات مميزة و سألتك هذه كام مجموعة؟
+
+267
+00:19:47,800 --> 00:19:55,400
+ممكن اكتر ؟ اه ممكن هاي اربع clusters هادول معبق
+
+268
+00:19:55,400 --> 00:20:06,910
+هادى لحال هادول لحال هادى لحال او هادلحال ممكن ستة
+
+269
+00:20:06,910 --> 00:20:10,630
+كذلك طب أي عدد فيهم الصح طب التلاتة ليش مش تلاتة؟
+
+270
+00:20:10,630 --> 00:20:14,130
+لو أنا قلت له تلاتة حاجة اسمهم على تلاتة مين الصح
+
+271
+00:20:14,130 --> 00:20:19,030
+فيهم؟ تين ولا تلاتة ولا أربعة ولا ستة ولا خمسة؟
+
+272
+00:20:19,030 --> 00:20:23,850
+مين؟ لأن ال label غايب عندي معناته انا في عندي
+
+273
+00:20:23,850 --> 00:20:26,810
+مشكلة او احنا بيقول في عندي challenge حقيقية لان
+
+274
+00:20:26,810 --> 00:20:32,480
+اقدر اقيمالـ Cluster Algorithm أو الـ Behavior تبع
+
+275
+00:20:32,480 --> 00:20:34,340
+الـ Cluster Algorithm علشان هي بيقول الـ
+
+276
+00:20:34,340 --> 00:20:39,120
+Clustering can be ambiguous ممكن يكون مضلل، مضلل
+
+277
+00:20:39,120 --> 00:20:42,600
+يعني مش واضح أو ضبابي في التعامل اللي موجود عندها
+
+278
+00:20:43,850 --> 00:20:46,950
+الـ Clustering Types لما أتكلم على الـ Clustering
+
+279
+00:20:46,950 --> 00:20:51,630
+Types المعنى هو .. ال .. ال Clustering هي عبارة عن
+
+280
+00:20:51,630 --> 00:20:56,110
+مجموعة من الست في ال clusters وهذه تراوح مجموعات
+
+281
+00:20:56,110 --> 00:20:59,010
+ال clusters هذه إما ما بين ال hierarchical أو ال
+
+282
+00:20:59,010 --> 00:21:03,830
+partitional ال cluster إما بتكون هرمي أو تجزيئي أو
+
+283
+00:21:03,830 --> 00:21:06,810
+تقطيعي ال clusters اللي موجودة لما أتكلم على
+
+284
+00:21:06,810 --> 00:21:09,250
+partitional ال clustering معناته أنا بتكلم على
+
+285
+00:21:09,250 --> 00:21:15,790
+division لل dataعلى مجموعات غير متقاطعة انا بجسم
+
+286
+00:21:15,790 --> 00:21:20,310
+ال data objects أو ال instances اللي موجودة على
+
+287
+00:21:20,310 --> 00:21:25,870
+مجموعات غير متقاطعة وهذا ما نسميها non overlapping
+
+288
+00:21:25,870 --> 00:21:29,330
+clusters او non overlapping subsets او نسميها احنا
+
+289
+00:21:29,330 --> 00:21:36,230
+cluster وبالتالي كل element بكون موجود فقط في one
+
+290
+00:21:36,230 --> 00:21:40,140
+subsetبينما في الـ Hierarchical Clustering معناته
+
+291
+00:21:40,140 --> 00:21:45,860
+أنا بتكلم على set of nested clusters organized as
+
+292
+00:21:45,860 --> 00:21:49,720
+hierarchical tree وبالتالي لأ انا في عندي تقاطع ما
+
+293
+00:21:49,720 --> 00:21:53,060
+بين كل cluster و التاني لما ان في عندي هيكلية او
+
+294
+00:21:53,060 --> 00:21:56,660
+hierarchy هيرامية او في عندي tree معناته انا قاعد
+
+295
+00:21:56,660 --> 00:22:00,420
+في عندي عناصر اللي هتكون عندي ماخدة أشكال مختلفة
+
+296
+00:22:00,420 --> 00:22:03,660
+لو انا قلت هي ال data اللي عندي هان وبدأ اطبق
+
+297
+00:22:03,660 --> 00:22:07,660
+عليها partitionary clusteringمعناته ممكن هيكون
+
+298
+00:22:07,660 --> 00:22:10,860
+عبارة عن الـ Partition Different Partitional
+
+299
+00:22:10,860 --> 00:22:15,140
+Clustering لو انا افترضت انه بالـ Hierarchical
+
+300
+00:22:15,140 --> 00:22:17,660
+data معناته انا ممكن احيي الـ Hierarchical فكرة
+
+301
+00:22:17,660 --> 00:22:24,370
+انه اتنين و تلاتة هان في one clusterوالـ cluster
+
+302
+00:22:24,370 --> 00:22:27,870
+هذا مع أربعة كوّنوا cluster جديد مع واحد كوّنوا
+
+303
+00:22:27,870 --> 00:22:30,830
+cluster جديد وهذه طبعا بسميها traditional
+
+304
+00:22:30,830 --> 00:22:33,710
+hierarchical clustering بينما هذه بسميها
+
+305
+00:22:33,710 --> 00:22:37,850
+dendrogram وطبعا الـ dendrogram بيبين بشكل واضح
+
+306
+00:22:37,850 --> 00:22:41,290
+علاقة ال instances مع بعض يعني أنا واضح ان عندي
+
+307
+00:22:41,290 --> 00:22:47,950
+اتنين و تلاتة انجمعوا بعدين انجمع لهم أربعة و
+
+308
+00:22:47,950 --> 00:22:54,500
+بعدين انجمع لكل اللي هي واحدةكذلك هنا هنا الـ non
+
+309
+00:22:54,500 --> 00:22:56,940
+-traditional الهيراريكال .. الهيراريكال طبعا ال
+
+310
+00:22:56,940 --> 00:22:59,740
+traditional في كل مرة انا عمالي بضيف point لكن في
+
+311
+00:22:59,740 --> 00:23:02,220
+ال non-traditional لأ ممكن تكون الأمور شوية مختلفة
+
+312
+00:23:02,220 --> 00:23:05,500
+ممكن بي واحد و بي اتنين مع بعض بي اتنين و بي تلاتة
+
+313
+00:23:05,500 --> 00:23:08,840
+مع بعض بي تلاتة و بي أربعة و هدول كلهم موجودين مع
+
+314
+00:23:08,840 --> 00:23:13,200
+بعض و هده هي في ال dendogram اللي بتظهر عندنا ان
+
+315
+00:23:13,200 --> 00:23:16,840
+شاء الله تعالى في التسجيل الجاي هروح باتجاه ال
+
+316
+00:23:16,840 --> 00:23:20,300
+partitional clustering أشوفكم على خير ان شاء الله
+
+317
+00:23:20,300 --> 00:23:21,640
+و السلام عليكم و مرحبا لله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/3PercFMmDro_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/3PercFMmDro_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..e00b6c5c76c242e9d6a98d2209a6754aacdc49da
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/3PercFMmDro_postprocess.srt
@@ -0,0 +1,3196 @@
+1
+00:00:05,250 --> 00:00:07,430
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,430 --> 00:00:11,930
+اليوم ان شاء الله شباب هنبدأ ب chapter جديد في ال
+
+3
+00:00:11,930 --> 00:00:15,070
+data mining و هنتكلم على أولى ال data mining tasks
+
+4
+00:00:15,070 --> 00:00:20,630
+و هي ال classification ال classification لكن قبل
+
+5
+00:00:20,630 --> 00:00:24,150
+ما أبدأ بالمحاضرة فعليا و بال slides بدي أسأل انا
+
+6
+00:00:24,150 --> 00:00:26,270
+ايش احنا بنيعني بال classification
+
+7
+00:00:44,700 --> 00:00:53,400
+أه محمد شو يعني classification؟
+
+8
+00:00:53,400 --> 00:00:56,580
+بدي
+
+9
+00:00:56,580 --> 00:00:59,060
+أصنف .. شو يعني بدي أصنف؟ أيوة أنا بدي أقول ..
+
+10
+00:00:59,060 --> 00:01:04,700
+بينهم شغلات مشتركة
+
+11
+00:01:04,700 --> 00:01:09,520
+شو رايك مشتركة؟ مرتجع عفوا بجسم ال data على شكل
+
+12
+00:01:09,520 --> 00:01:14,720
+categories بجسم ال data على شكل categoriesكريم
+
+13
+00:01:14,720 --> 00:01:20,040
+بناء على ترميز معينة بعمل زي لبط بمثل الصدر او كذا
+
+14
+00:01:20,040 --> 00:01:24,340
+طيب انا قاعد باسأل شو يعني تصنيف بالعربي شو يعني
+
+15
+00:01:24,340 --> 00:01:30,220
+تصنيف شغلات بينها او في عناصر مش علها عناصر مشتركة
+
+16
+00:01:30,220 --> 00:01:38,040
+اعمر شو يعني تصنيف تقسيم العناصر الى مجموعات طيب
+
+17
+00:01:38,040 --> 00:01:42,200
+شو يعني تصنيف يا راني تصنيف شو يعني
+
+18
+00:01:47,010 --> 00:01:54,950
+طيب لو انا جيت قلتلك اه احمد تفضل اعمل subclass
+
+19
+00:01:54,950 --> 00:02:00,410
+بناء على role معين او subset طيب لو .. لو انا جيت
+
+20
+00:02:00,410 --> 00:02:09,330
+قلتلكوا عند الان قرصة كتب مجموعة كتب و بدنا نصنفها
+
+21
+00:02:15,120 --> 00:02:19,440
+إيش اسمك؟ إبراهيم إبراهيم أنا عارف تعمل تسألك
+
+22
+00:02:19,440 --> 00:02:26,500
+سنوار حسب إيش بدي أصنفها؟ ليش يا إبراهيم سألتي
+
+23
+00:02:26,500 --> 00:02:32,420
+السؤال هذا؟ عشان أنا أقدر؟ طب إيش اللي بدك يامني
+
+24
+00:02:32,420 --> 00:02:36,480
+يا إبراهيم عشان تقدر تصنفها؟
+
+25
+00:02:36,480 --> 00:02:39,660
+هو هو إنت صرت إبراهيم الآن؟ أيوة إيش اللي بدك
+
+26
+00:02:39,660 --> 00:02:42,960
+يامني عشان تقدر تصنفها؟ حق تقدر تحصرلي شغلات؟
+
+27
+00:02:45,760 --> 00:02:50,560
+معلومات .. معلومات .. معلومات عن إيش؟ معلومات عن
+
+28
+00:02:50,560 --> 00:02:54,680
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+29
+00:02:54,680 --> 00:02:55,440
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+30
+00:02:55,440 --> 00:02:56,680
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+31
+00:02:56,680 --> 00:02:56,920
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+32
+00:02:56,920 --> 00:02:58,800
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+33
+00:02:58,800 --> 00:03:00,320
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+34
+00:03:00,320 --> 00:03:02,840
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+35
+00:03:02,840 --> 00:03:07,340
+أستراليا .. معلومات عن أستراليا .. معلومات عن
+
+36
+00:03:07,340 --> 00:03:10,880
+أستراليا .. معلومات عن أستراليا .. معلومات عن أست
+
+37
+00:03:12,100 --> 00:03:16,820
+تمام؟ كان كله بيتكلم على clustering أو grouping
+
+38
+00:03:16,820 --> 00:03:21,720
+لأن كلكوا بتتكلموا لمجموعات أصنفهم لمجموعات أصنفهم
+
+39
+00:03:21,720 --> 00:03:27,360
+لمجموعات مش هيك اصنفهم يعني في عندي predefined
+
+40
+00:03:27,360 --> 00:03:32,220
+setsفي عندي مجموعات معروفة مسبقًا والمجموعات هذه
+
+41
+00:03:32,220 --> 00:03:38,060
+إلها عنوين وانت دورك تشوف هل العنصر هذا بيتواءم مع
+
+42
+00:03:38,060 --> 00:03:41,440
+المجموعة هذه ولا لأ عشان تحطه تحتها بينما اللي
+
+43
+00:03:41,440 --> 00:03:44,840
+كنتوا أنتوا بتطرحوا بتقول أنا بدي أدرس الخصائص
+
+44
+00:03:44,840 --> 00:03:50,630
+المشتركة بين الكتب و أجسمهم لمجموعاتهذا بيسميه
+
+45
+00:03:50,630 --> 00:03:52,510
+احنا في ال data science أو في ال data mining
+
+46
+00:03:52,510 --> 00:03:57,230
+clustering يا تامر بيسميه clustering أو grouping
+
+47
+00:03:57,230 --> 00:04:04,370
+بينما للتصنيف انا بقاعد فيه عندي مجموعات معرفة
+
+48
+00:04:04,370 --> 00:04:08,350
+مسبقا predefined
+
+49
+00:04:08,350 --> 00:04:14,870
+groups ممكن
+
+50
+00:04:14,870 --> 00:04:18,680
+يكونوا أقل شيء لازم يكونوا تنتينأجلش لازم يكونوا
+
+51
+00:04:18,680 --> 00:04:23,600
+مجموعتين و بعد هي كان بيجي دوري أنا بشوف كل object
+
+52
+00:04:23,600 --> 00:04:26,780
+في ال data set اللي عندي أو كل object في الكتب
+
+53
+00:04:26,780 --> 00:04:33,440
+اللي عندي بيندرج تحت أي مصنف تحت أي عنوان من
+
+54
+00:04:33,440 --> 00:04:37,020
+المجموعات هذه لو أنا اجيت قلتلك يا همام الكتب اللي
+
+55
+00:04:37,020 --> 00:04:43,400
+عندي انا اما science او politics او financial او
+
+56
+00:04:43,400 --> 00:04:45,020
+literature أدب
+
+57
+00:04:47,290 --> 00:04:54,550
+اقتصاد، سياسة، علوم، شوبك تساوي وعندك مزالة مجموعة
+
+58
+00:04:54,550 --> 00:04:59,950
+الكتب مثل ما هي مكدسة قدامي، شو هتعمل؟ كيف؟ ماشي،
+
+59
+00:04:59,950 --> 00:05:09,560
+هتفرزهم الآن، شو هتساوي؟ هتمسك كل كتاب؟ كملعلى
+
+60
+00:05:09,560 --> 00:05:12,820
+الأقل أعرف الموضوع اللي بيتكلم فيه الكتاب يعني
+
+61
+00:05:12,820 --> 00:05:18,400
+مثلا كتاب بتتكلم عن الاحتلال الانجليزي لشرق آسيا
+
+62
+00:05:18,400 --> 00:05:26,760
+مثلا بتصنف سياسة ولا تاريخ literature حسب الكتاب
+
+63
+00:05:26,760 --> 00:05:30,500
+عن إيش بتتكلم هل بتتكلم مثلا رؤية سياسية ولا
+
+64
+00:05:30,500 --> 00:05:34,480
+بتتكلم مجرد سرد تاريخي للموضوع الاحتلال على
+
+65
+00:05:34,480 --> 00:05:37,620
+التاريخ جيت وجيت والله كتاب بتتكلم على ال second
+
+66
+00:05:37,620 --> 00:05:38,240
+derivative
+
+67
+00:05:41,020 --> 00:05:45,180
+Science، لجيت كتاب بتتكلم عن الـ poems أو الشعر،
+
+68
+00:05:45,180 --> 00:05:48,800
+literature، مظبوط؟ هيك صار في عندي أنا الآن
+
+69
+00:05:48,800 --> 00:05:52,860
+باستخدم الـ knowledge تبعتي، تمام؟ و معرفتي
+
+70
+00:05:52,860 --> 00:05:58,370
+بالمجموعات السابقةبالمجموعات السابقة اللى موجودة
+
+71
+00:05:58,370 --> 00:06:02,010
+عندى و بروح ايش بصير اخد كل كتاب او كل object
+
+72
+00:06:02,010 --> 00:06:06,230
+بقارن الخصائص طبعته او بحاول اطلع اعرف عناش بتكلم
+
+73
+00:06:06,230 --> 00:06:10,910
+الكتاب هذا و بروح بصنفه لوحده بحطه تحت مجموعة او
+
+74
+00:06:10,910 --> 00:06:16,170
+تحت اي مجموعة من العناصر اللى موجودةعامة تمام
+
+75
+00:06:16,170 --> 00:06:22,010
+فمعناته ال classification هي عضوية المجموعات
+
+76
+00:06:22,010 --> 00:06:25,950
+predefined group مجموعات معروفة مسبقا و بدي احدد
+
+77
+00:06:25,950 --> 00:06:31,030
+مين العناصر تمام اللي ممكن يكونوا تحت المجموعة
+
+78
+00:06:31,030 --> 00:06:36,970
+اللي عندها الان بيفرج عن التقسيم او ال clustering
+
+79
+00:06:36,970 --> 00:06:42,840
+لو قلت الشباب انا بدي اجسمكوا لمجموعات تمامشغلات
+
+80
+00:06:42,840 --> 00:06:45,480
+كتيرة ممكن تكون مشتركة أو شغلات كتيرة ممكن تكون
+
+81
+00:06:45,480 --> 00:06:49,840
+مختلفة بينكوا عشان لو روحت أنا قلت بتجسمكوا تبع ال
+
+82
+00:06:49,840 --> 00:06:56,300
+.. سنة الميلاد تمام؟ لاحظ أنا في كل الكلام اللي
+
+83
+00:06:56,300 --> 00:07:02,620
+أنا بقوله ماليش أي control على .. على عدد
+
+84
+00:07:02,620 --> 00:07:05,760
+المجموعات بينما في ال cluster .. في ال
+
+85
+00:07:05,760 --> 00:07:11,400
+classification عدد المجموعاتطبعا بدي أجسمكوا تبعا
+
+86
+00:07:11,400 --> 00:07:16,100
+لتاريخ ميلادكوا لسنة الميلاد كل ناس مولودين في سنة
+
+87
+00:07:16,100 --> 00:07:20,840
+هدولة بيكونوا مجموعة لحالهم طب لجيت واحد بحاله أه
+
+88
+00:07:20,840 --> 00:07:28,040
+هدا بدوني أعمل مجموعة ماعنديش مشكلة في الموضوع لأ
+
+89
+00:07:28,040 --> 00:07:34,940
+ممكن أسخر ال cluster لخدمة ال classificationممكن
+
+90
+00:07:34,940 --> 00:07:39,240
+أسخر ال clustering لخدمة ال classification وهذا
+
+91
+00:07:39,240 --> 00:07:43,240
+نسميه عادة semi supervised learning ان انا فعليا
+
+92
+00:07:43,240 --> 00:07:47,480
+عندي بعض ال data بعض ال data labelled و بعض ال
+
+93
+00:07:47,480 --> 00:07:51,560
+data .. و كم كبير من ال data unlabeled فبروح
+
+94
+00:07:51,560 --> 00:07:56,580
+بجسمهم لاربع مجموعات حسب معرفتي من هناو بطلع في كل
+
+95
+00:07:56,580 --> 00:08:00,560
+cluster كل مجموعة ايش الاكثر عناصر من ال الهم
+
+96
+00:08:00,560 --> 00:08:03,600
+label و بسميه بطلق عليه و بخلي ال bag كله ماشي
+
+97
+00:08:03,600 --> 00:08:08,260
+يحملوا نفس الصفة اجيت اقول بدي اصنفكوا تبعا
+
+98
+00:08:08,260 --> 00:08:09,560
+لمعدلاتكوا
+
+99
+00:08:12,460 --> 00:08:15,200
+واحد يقول يا دكتور ما هو معروف المعدلات تسعين وفوق
+
+100
+00:08:15,200 --> 00:08:22,200
+من تمانين لتسعين okay بس لاحظ أنا ما اتكلمت على كل
+
+101
+00:08:22,200 --> 00:08:26,000
+اسم مجموعة المجموعات هذه مالهاش أسامي مش معرفة
+
+102
+00:08:26,000 --> 00:08:31,280
+بالنسبة لي مسبقا تبع الأوزانكوا الأطوالكوا تمام كل
+
+103
+00:08:31,280 --> 00:08:34,740
+الشغلات هذه عاملا جاعة بتتكلم على مجموعاتعلى
+
+104
+00:08:34,740 --> 00:08:38,720
+مجموعات و بعد هيك بنصير اما بحدد الخاصية و بشغل او
+
+105
+00:08:38,720 --> 00:08:42,440
+بروح بقول لشبابنا نجسم لمجموعتين لتلت مجموعات و
+
+106
+00:08:42,440 --> 00:08:45,860
+بصير ادور على ال common properties اللي تجمعكم مع
+
+107
+00:08:45,860 --> 00:08:51,860
+بعض لكن ايش الصفر السمة السائدة لكل مجموعة نعرفش
+
+108
+00:08:51,860 --> 00:08:55,580
+لاحقا بدنا نصير نفكر ندور بعنوان بينما بال
+
+109
+00:08:55,580 --> 00:08:59,340
+classification انا عندى التصنيفات موجودة عندى
+
+110
+00:08:59,340 --> 00:09:05,320
+مستويات الطلاب موجودة ممتاز جيد جدا جيدمقبول؟ هذه
+
+111
+00:09:05,320 --> 00:09:08,920
+التصنيفات اللي موجودة في عند الآن درجة الرطوبة إما
+
+112
+00:09:08,920 --> 00:09:13,960
+هتكون عالية أو متوسطة أو منخفضة الجو إما هيكون
+
+113
+00:09:13,960 --> 00:09:18,860
+غائم أو غائم جزئيا أو صافي تمام؟ اليوم إما هيكون
+
+114
+00:09:18,860 --> 00:09:22,420
+ماطر أو هيكون غير ماطر هذه المعلومات أو هذه ال
+
+115
+00:09:22,420 --> 00:09:22,860
+categories
+
+116
+00:09:29,580 --> 00:09:33,860
+بتكلم على category كمجموعات إلها صفات مشتركة محددة
+
+117
+00:09:33,860 --> 00:09:38,040
+وواضحة وإلها اسم فهنا احنا بنتكلم على تصنيف
+
+118
+00:09:38,040 --> 00:09:43,860
+classification إيش اللي احنا بنتعلمه في ال chapter
+
+119
+00:09:43,860 --> 00:09:44,380
+هذا؟
+
+120
+00:10:02,660 --> 00:10:06,840
+إيش بتتوجه إن احنا نتعلم في ال chapter هذا الآن؟
+
+121
+00:10:06,840 --> 00:10:18,980
+كيف أقدر أعرف المجموعات؟ مش صحيح، أيوة أتعرف
+
+122
+00:10:18,980 --> 00:10:24,340
+على التقنيات اللي تستخدم في التصنيف غيره، طبعا هذا
+
+123
+00:10:24,340 --> 00:10:29,700
+حتكلم شغل مكتبات أو شغل ناس شغالة في المجال، غير،
+
+124
+00:10:29,700 --> 00:10:34,050
+أه حسنأيش بتتوقع أن ابدا أتعلم الفصل هذا أو
+
+125
+00:10:34,050 --> 00:10:38,450
+الشابتر هذا؟
+
+126
+00:10:38,450 --> 00:10:44,170
+كيف المكتبات بتعمل؟ ايش المبدأ اللي بتشتغل عليه؟
+
+127
+00:10:44,170 --> 00:10:48,470
+اه أحمد ايش ممكن أتوقع أن أتعلم الفصل هذا الشابتر
+
+128
+00:10:48,470 --> 00:10:52,430
+هذا؟ على أي أساس أصنف؟
+
+129
+00:10:56,620 --> 00:11:00,240
+أديب الشغلات المشتركة بين الـ instances أو الـ
+
+130
+00:11:00,240 --> 00:11:07,980
+object عشان أقدر أصنفها أقدر أفرج بين إيش؟ بين ال
+
+131
+00:11:07,980 --> 00:11:13,180
+objects أو بين جثين أتعرف على الخصائص تبعت كل
+
+132
+00:11:13,180 --> 00:11:19,480
+مجموعة عشان أقدر أحدد لـ new objects أو الـ unseen
+
+133
+00:11:19,480 --> 00:11:23,900
+samples بتنتمي لأي مجموعة بس فعليا مش أنا اللي
+
+134
+00:11:23,900 --> 00:11:29,680
+هشتغلالـ Machine الفكرة الآن لما نتكلم على
+
+135
+00:11:29,680 --> 00:11:32,560
+Classification هنبدأ نتكلم على Machine Learning
+
+136
+00:11:32,560 --> 00:11:37,160
+Algorithm هنبدأ نتكلم على تعلم الآلة أو تعلم ..
+
+137
+00:11:37,160 --> 00:11:40,840
+تعلم الآلة كيف الآلة بتدور على ال characteristics
+
+138
+00:11:40,840 --> 00:11:45,320
+المشتركة لكل مجموعة الآن بما أن ال classification
+
+139
+00:11:45,320 --> 00:11:50,380
+هي واحدة من supervised learning method احنا كنا
+
+140
+00:11:50,380 --> 00:11:54,300
+حكينا المرة الماضية ال data mining tasks نوعين
+
+141
+00:11:55,310 --> 00:11:59,690
+Predictive وDescriptive في الـ Predictive قلت أنا
+
+142
+00:11:59,690 --> 00:12:03,430
+فيه Classification وبدى اتنبأ بكاتجورى بدى اتنبأ
+
+143
+00:12:03,430 --> 00:12:07,310
+بال Target Label تبع المجموعة وفي عند Regression
+
+144
+00:12:07,310 --> 00:12:11,490
+بدى اتنبأ بcontinuous value بصبح وقلنا في ال
+
+145
+00:12:11,490 --> 00:12:15,670
+Descriptive في الوصفية اما بتكلم على Clustering
+
+146
+00:12:15,670 --> 00:12:20,770
+تقسيم لمجموعات او Outlayer Detection تحديد الشوان
+
+147
+00:12:20,770 --> 00:12:27,070
+او ال Association Rulesتحديد الإطباع ما بين
+
+148
+00:12:27,070 --> 00:12:34,350
+العناصر اللي موجودة الآن ضمن الكلام هذا أنا هتعرف
+
+149
+00:12:34,350 --> 00:12:37,630
+على مجموعة من الـ algorithms والقاليات اللي
+
+150
+00:12:37,630 --> 00:12:45,450
+بتستخدمها من أجل استنباط خصائص المجموعات المعرفة
+
+151
+00:12:45,450 --> 00:12:51,390
+مسبقا اللي موجودة عندى في ال data ومن ثم لما بدي
+
+152
+00:12:51,390 --> 00:12:55,000
+أجي أعمل predictionبدي تديني ال prediction أو بدي
+
+153
+00:12:55,000 --> 00:12:58,740
+تديني ال category أو ال group أو اسم المجموعة اللي
+
+154
+00:12:58,740 --> 00:13:01,540
+بينتمي إليها ال object الجديد هذا اللي هو ال
+
+155
+00:13:01,540 --> 00:13:06,640
+unseen object أو unseen instance يعني فعليا أنا
+
+156
+00:13:06,640 --> 00:13:09,840
+بدي أشوف الآلة كيف اللي بتتعلم طب أنا وين في
+
+157
+00:13:09,840 --> 00:13:14,400
+الموضوع انت دورك جهزت البيانات بدك تختار algorithm
+
+158
+00:13:14,400 --> 00:13:18,100
+كويس وتقول لل algorithm اقرأ البيانات وتعلم منها
+
+159
+00:13:18,100 --> 00:13:23,160
+تعمله evaluation قبل ما تقول أنا صار فيه عندىموديل
+
+160
+00:13:23,160 --> 00:13:26,280
+بيقدر يعمل prediction لل category أو لل class اللي
+
+161
+00:13:26,280 --> 00:13:34,320
+موجود عندها ال classification
+
+162
+00:13:34,320 --> 00:13:39,020
+هي
+
+163
+00:13:39,020 --> 00:13:41,840
+واحدة من ال mining task او ال data mining task
+
+164
+00:13:41,840 --> 00:13:46,140
+التقليدية ال task يعني من اهم او من اكثر ال task
+
+165
+00:13:46,140 --> 00:13:52,520
+شهرة ل classification وطبعاممتدة أساسا بالـ
+
+166
+00:13:52,520 --> 00:13:55,060
+Machine Learning عادة الـ Machine Learning
+
+167
+00:13:55,060 --> 00:13:58,880
+Algorithm الشباب بشكل عام أو التقنيات بتشتغل ضمن
+
+168
+00:13:58,880 --> 00:14:04,860
+منهجيات معينة الأولى أنه فعليا هل الـ Machine
+
+169
+00:14:04,860 --> 00:14:08,940
+Learning هذه تتدرب أو تعلم من خلال الـ Human
+
+170
+00:14:08,940 --> 00:14:15,200
+Supervision من خلال مراقبة الإنسانأو إشراف الإنسان
+
+171
+00:14:15,200 --> 00:14:19,280
+الفكرة كالتالي بينفعش أنا أروح أقول للطلاب في
+
+172
+00:14:19,280 --> 00:14:23,900
+المدرسة هذه مجموعة الكتب بروح أدخله في الصف الآن
+
+173
+00:14:23,900 --> 00:14:27,660
+من العشرة للاحد عشر عليكوا عربي أدرس كتاب العربي
+
+174
+00:14:27,660 --> 00:14:35,260
+بدون ما يكون عندهم مدرس، بينفع؟ ليش؟ طبيعي الإنسان
+
+175
+00:14:35,260 --> 00:14:38,140
+إنه هيميل إنه إيش؟ مدونش يدرس، هيقعد يلعب يتحدث
+
+176
+00:14:38,140 --> 00:14:41,080
+ويجار وكذا أثناء إحتياجات بيكون المدرس موجود
+
+177
+00:14:41,080 --> 00:14:45,750
+والتاني يحطي الرسم في بعض ويتحدثوافالآن المراقبة
+
+178
+00:14:45,750 --> 00:14:49,370
+هي ضرورية من أجل ضبط عملية التعلم بس الآلة ما
+
+179
+00:14:49,370 --> 00:14:54,270
+عندهاش شعور وبتملش يعني مش شغلة وبالتالي هتدرس لأ
+
+180
+00:14:54,270 --> 00:14:58,450
+المفهوم الـ Supervision هان شو علاقة الإنسان في
+
+181
+00:14:58,450 --> 00:15:02,350
+تحديد البيانات اللي موجودة إذا أنا كانت ال data
+
+182
+00:15:02,350 --> 00:15:07,410
+اللي موجودة عندى عبق .. حطيتلها target وحطيتلها
+
+183
+00:15:07,410 --> 00:15:13,430
+label حددت الفئات تبع كل instance معاه شو بتكلم
+
+184
+00:15:13,430 --> 00:15:19,480
+عليه؟supervised learning في عندي الـ unsupervised
+
+185
+00:15:19,480 --> 00:15:22,900
+غير مراقب و أنا بقوله جسم لمجموعات تلاتة اربعة
+
+186
+00:15:22,900 --> 00:15:26,780
+خمسة عشرة عشرين بس ال system لحاله بيشتغل semi
+
+187
+00:15:26,780 --> 00:15:29,780
+supervised و هو عبارة عن combination بين التنين
+
+188
+00:15:29,780 --> 00:15:35,400
+هدول reinforcement learning اللي هو إعادة التعلم
+
+189
+00:15:35,400 --> 00:15:41,000
+بالضغط أو بالقوة و هنا بيقبل زي مبدأ الثواب و
+
+190
+00:15:41,000 --> 00:15:45,610
+العقابعلى ال algorithm اللي شغال في حد فيكوا لعب
+
+191
+00:15:45,610 --> 00:15:51,450
+سوبر ماريو كلكوا لعبتوها كويس عمرك اتفرجت على ال
+
+192
+00:15:51,450 --> 00:15:55,930
+system هو بيلعب يعني تخليه تفتح ال super mario
+
+193
+00:15:55,930 --> 00:15:58,470
+تقوله tutorial و تخلي ال system هو اللي يلعب مش
+
+194
+00:15:58,470 --> 00:16:03,550
+video نفس النفس حكاية لعبك بس ممكن هو يشتغلك تشطر
+
+195
+00:16:03,550 --> 00:16:07,550
+منكالفكرة وين؟ كانت في ال .. ليش جبتيلك ال super
+
+196
+00:16:07,550 --> 00:16:10,150
+mario بالتحديد يا جماعة الخير؟ لأن ال concept بسيط
+
+197
+00:16:10,150 --> 00:16:12,930
+جدا ممكن تستوعبهان، الآن لما كانوا في لعبة ال
+
+198
+00:16:12,930 --> 00:16:16,410
+super mario بياكلوا الفطر، إيش بيصير في ال
+
+199
+00:16:16,410 --> 00:16:21,150
+character تبعك؟بتطور، بيكبر، بيتضخم، مظبوط؟ وكل
+
+200
+00:16:21,150 --> 00:16:25,890
+تطور أو كل مشروم أو كل فطر بياكله تمام؟ كان بنجيه
+
+201
+00:16:25,890 --> 00:16:30,290
+من موت محقق عند وين؟ عندما .. لما بدرب في .. في
+
+202
+00:16:30,290 --> 00:16:34,510
+سلحفة أو بجع في جورة أو بدرب في صبار، مظبوط؟ الآن
+
+203
+00:16:34,510 --> 00:16:38,170
+هذه الحالات، كل هذه الحالات مميتةفكان كل ما هو
+
+204
+00:16:38,170 --> 00:16:42,470
+بيحصل فطر أكبر كان بيحصل عدد مرات من النجاة أكبر
+
+205
+00:16:42,470 --> 00:16:47,150
+وكل ما بيصطدم في سلحفا أو بيقعد .. بيسقط في جورة
+
+206
+00:16:47,150 --> 00:16:56,570
+أو بخبط في صبار بغلت وبالتالي إذا أنت اشتغلت بزيد
+
+207
+00:16:56,570 --> 00:17:01,470
+ال rank بزيد الفرصة تبعتك وإذا أنت اشتغلت بالعكس
+
+208
+00:17:01,470 --> 00:17:06,590
+وماتصرفتش بلباقة أو بطريقة جيدةهتصل لمرحلة نقول لك
+
+209
+00:17:06,590 --> 00:17:11,150
+خلاص مضال الكاش فرصة عيد اللعبة من تاني، مظبوط؟
+
+210
+00:17:11,150 --> 00:17:14,090
+هذا مبدأ ال reinforcement learning اللي فعليا احنا
+
+211
+00:17:14,090 --> 00:17:18,590
+ممكن نطبقه بس مش اختصاصنا احنا فعليا الفصل هذا في
+
+212
+00:17:18,590 --> 00:17:23,410
+ال data mining بس شغالين شويهان و شويهان كذلك ال
+
+213
+00:17:23,410 --> 00:17:28,590
+machine learning تقسمالـ Algorithm تبعتها هل عملية
+
+214
+00:17:28,590 --> 00:17:32,550
+التعليم هتصير incrementally on a fly؟ يعني بين
+
+215
+00:17:32,550 --> 00:17:37,330
+قصين وانا قاعد بأتمرن أو عفوا وانا قاعد بأشتغل
+
+216
+00:17:37,330 --> 00:17:41,450
+فعليا هل هكتسب تجارب جديدة أضيفها لل knowledge
+
+217
+00:17:41,450 --> 00:17:45,770
+تبعتي؟ إذا هذا الكلام كان يطبق في موضوع ال machine
+
+218
+00:17:45,770 --> 00:17:51,080
+learning فاحنا بنتكلم على online learningبينما اذا
+
+219
+00:17:51,080 --> 00:17:53,520
+كنت انا و هذا اللي احنا هنشتغل عليه عنhand في ال
+
+220
+00:17:53,520 --> 00:17:58,360
+batch ال data set انا قرأتها لمرة واحدة و بنيت
+
+221
+00:17:58,360 --> 00:18:02,180
+عليها model و ال model هذا وضلت اطبق فيه بدون
+
+222
+00:18:02,180 --> 00:18:05,560
+الاستفادة من ال prediction الجديدة فده بنسمي احنا
+
+223
+00:18:05,560 --> 00:18:10,260
+batch learning كذلك في عندي ال trend في ال machine
+
+224
+00:18:10,260 --> 00:18:14,240
+learning هل هي model based ولا instance based
+
+225
+00:18:14,240 --> 00:18:19,860
+model based يعني هيروح يبني model هيروح يبنيموديل
+
+226
+00:18:19,860 --> 00:18:24,680
+هو اللي بديه يعمل prediction لاحقا بينما بال
+
+227
+00:18:24,680 --> 00:18:28,700
+instance based في كل مرة بديه يعمل prediction بديه
+
+228
+00:18:28,700 --> 00:18:34,620
+يرجع لل data 6 الأصلية و طبعا هدول الشغلتين لكل
+
+229
+00:18:34,620 --> 00:18:39,480
+واحدة فيه إيجابياتها و إليها سليبياتها كذلك في
+
+230
+00:18:39,480 --> 00:18:43,040
+trend آخر فيه deterministic و فيه probabilistic
+
+231
+00:18:43,040 --> 00:18:47,390
+approachفي الـ learning في الـ deterministic اللي
+
+232
+00:18:47,390 --> 00:18:51,610
+هو الدقيق أو الموحد انه ال algorithm هذا مع ال
+
+233
+00:18:51,610 --> 00:18:56,370
+input هذا لو عدته خمس تلاف مرة لو عدته مليون مرة
+
+234
+00:18:56,370 --> 00:19:01,070
+هيديني نفس النتيجة محدد بينما في ال probabilistic
+
+235
+00:19:01,070 --> 00:19:04,310
+طبعا في ال deterministic مافيش عندي مجلة
+
+236
+00:19:04,310 --> 00:19:09,240
+randomness مافيش مجلة عشوائية كله شغال ضمنقيم
+
+237
+00:19:09,240 --> 00:19:12,580
+حقيقية موجودة بين إيدينا بينما في الـ
+
+238
+00:19:12,580 --> 00:19:15,720
+Probabilistic Approach بيعتمد على الـ Randomness
+
+239
+00:19:15,720 --> 00:19:18,660
+لأنه بياخد Sample من ال population و بيصير .. ممكن
+
+240
+00:19:18,660 --> 00:19:23,180
+نزقر .. عفوا النتيجة تتغير ما بين كرن و التاني
+
+241
+00:19:23,180 --> 00:19:26,200
+بشكل
+
+242
+00:19:26,200 --> 00:19:28,880
+عام احنا بنتكلم على ال supervised learning و
+
+243
+00:19:28,880 --> 00:19:34,050
+بالتحديد ال classificationالان super vision زي ما
+
+244
+00:19:34,050 --> 00:19:37,870
+قلنا سابقا training data ال data set اللي انا
+
+245
+00:19:37,870 --> 00:19:49,150
+اخترتها بتتكلم عن ال heart disease ال
+
+246
+00:19:49,150 --> 00:19:55,090
+body mass index ال blocked artery تصلب الشرايين
+
+247
+00:19:55,090 --> 00:20:04,810
+قلم في الصدر و في الآخرالتصنيع التبعي هل هذا heart
+
+248
+00:20:04,810 --> 00:20:11,790
+disease هل هذا مرض قلب مرض قلب ولا لأ yes و no ال
+
+249
+00:20:11,790 --> 00:20:18,030
+data set في جو زي اليوم بتكلم الجو غائم ال outlook
+
+250
+00:20:18,030 --> 00:20:24,790
+cloudy ال temperature عشرة مثلا او اتناشر ال
+
+251
+00:20:24,790 --> 00:20:32,600
+humidityIntermediate متوسطة الـ Windy فيه رياح بدي
+
+252
+00:20:32,600 --> 00:20:38,720
+أعمل هل اليوم ماطر أو لأ ك category كفئة لاحظ أنا
+
+253
+00:20:38,720 --> 00:20:43,400
+الآن بتكلم هذه ال label تبعتي هي ال target هي ال
+
+254
+00:20:43,400 --> 00:20:47,140
+group الـ predefined group إما هدول ال instances
+
+255
+00:20:47,140 --> 00:20:52,320
+ال data set مقسمين لمجموعتين ناس مصابين أمراض
+
+256
+00:20:52,320 --> 00:20:58,190
+القلب و ناس غير مصابةالجو أيام ماطرة و أيام غير
+
+257
+00:20:58,190 --> 00:21:03,210
+ماطرة تصنيفات الطلاب جيد جدا او ممتاز جيد جدا جيد
+
+258
+00:21:03,210 --> 00:21:07,210
+مقبولة هذه التصنيفات الموجودة معروفة مسبقا وهذه
+
+259
+00:21:07,210 --> 00:21:11,770
+هتكون موجودة عندهان فلل training set هذه لازم تكون
+
+260
+00:21:11,770 --> 00:21:16,530
+عاملة combination ما بين ال attributes اللي عندي
+
+261
+00:21:16,530 --> 00:21:20,310
+بالاضافة
+
+262
+00:21:21,330 --> 00:21:25,310
+الـ groups او الـ predefined groups يعني بين جثين
+
+263
+00:21:25,310 --> 00:21:34,190
+محددله بشكل دقيق كل raw بيتبع اي مجموعة تمام؟ كل
+
+264
+00:21:34,190 --> 00:21:39,870
+raw بيتبع اي مجموعة و عادة هذه بنسميها احنا
+
+265
+00:21:39,870 --> 00:21:45,990
+training data training data فال classification هي
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+266
+00:21:45,990 --> 00:21:53,400
+مهمتها تعمل predict categorialclass label تتنبأ
+
+267
+00:21:53,400 --> 00:21:59,360
+بالفئة باسم الفئة تبعتنين؟ تبعت المجموعات لل
+
+268
+00:21:59,360 --> 00:22:03,160
+unseen data طبعا ال class label هذا إما بيكون
+
+269
+00:22:03,160 --> 00:22:10,460
+discrete أو بيكون nominal شو يعني nominal data؟
+
+270
+00:22:10,460 --> 00:22:15,620
+text .. text .. text .. تمام؟ طب شو يعني discrete
+
+271
+00:22:15,620 --> 00:22:20,450
+data؟قيم منفصل عن بعضها هي فعلياً وظاهرها
+
+272
+00:22:20,450 --> 00:22:24,690
+continuous عشر، عشرين، تلاتين تمام؟ ولمّا بتروح
+
+273
+00:22:24,690 --> 00:22:27,630
+يعمل ال prediction هو بتقول أما عشرة أو عشرين أو
+
+274
+00:22:27,630 --> 00:22:30,570
+تلاتين مالهاش علاقة بالأرقام أو العلاقة بالحساب
+
+275
+00:22:30,570 --> 00:22:36,670
+مطلقاً الآن ففي
+
+276
+00:22:36,670 --> 00:22:39,570
+ال classification هيبني prediction model عشان
+
+277
+00:22:39,570 --> 00:22:43,410
+يتنبأ بال discrete values اللي موجودة عندها تعالى
+
+278
+00:22:43,410 --> 00:22:49,530
+نشوف الصورة هايأو بلاش، قبل ما نروح على الصورة هاي
+
+279
+00:22:49,530 --> 00:22:53,010
+عشان انا بقى أظل أقول Model Model Model Model شو
+
+280
+00:22:53,010 --> 00:23:06,790
+يعني Model؟ نموذج نموذج، تمام وشو
+
+281
+00:23:06,790 --> 00:23:11,250
+يعني نموذج؟ تصور، تصور، تصور، تصور، تصور، تصور،
+
+282
+00:23:11,250 --> 00:23:13,250
+تصور، تصور، تصور، تصور، تصور، تصور، تصور، تصور،
+
+283
+00:23:13,250 --> 00:23:13,750
+تصور، تصور، تصور، تصور، تصور، تصور، تصور، تصور،
+
+284
+00:23:13,750 --> 00:23:16,030
+تصور، تصور
+
+285
+00:23:18,130 --> 00:23:22,990
+صورة مصغرة شوف أحمد من غاد بيقولك photo
+
+286
+00:23:22,990 --> 00:23:26,770
+description بس سيبك من ال photo و اتكلم عن ال
+
+287
+00:23:26,770 --> 00:23:31,290
+description انا بقولك صح صورة مصغرة او نموذج بلاش
+
+288
+00:23:31,290 --> 00:23:38,410
+نقول مصغر صورة توصفالنموذج أو الشكل أو ال object
+
+289
+00:23:38,410 --> 00:23:41,730
+اللي جاي عندي الآن بتروح شركة Apple على سبيل .. لأ
+
+290
+00:23:41,730 --> 00:23:43,410
+انتوا أقولكوا علاقة بما في ناس بتكون interested
+
+291
+00:23:43,410 --> 00:23:48,310
+بالسيارات تروح شركة BMW بتقولك والله إحنا في عندنا
+
+292
+00:23:48,310 --> 00:23:53,470
+ال model تبع ألفين و تلاتين من السيارة جاهز شو
+
+293
+00:23:53,470 --> 00:23:59,130
+يعني؟ مش .. لأ لأ ماتكلم ال .. ماتكلم على ال model
+
+294
+00:23:59,130 --> 00:24:05,770
+يعني ان هو في عنده تصور أو وصف دقيقلشكل السيارة،
+
+295
+00:24:05,770 --> 00:24:08,470
+إيش السيارة بديها تكون، اللي في الـ 2030 يا همام
+
+296
+00:24:08,470 --> 00:24:12,150
+ممكن prototype أو ممكن يكون عاملة prototype، بس في
+
+297
+00:24:12,150 --> 00:24:17,710
+الآخر أهم في ال prototype هذا مثلا، معارض
+
+298
+00:24:17,710 --> 00:24:20,990
+السيارات، لما بروح بيعرض في المعارض، إيش بقولك؟
+
+299
+00:24:20,990 --> 00:24:25,910
+بقولك، هي model، تمام؟ عن السيارة، هي model عن
+
+300
+00:24:25,910 --> 00:24:26,450
+الجوال
+
+301
+00:24:29,520 --> 00:24:34,720
+sample ايش بستفيد من الـ sample هاي فعليا بشوف الـ
+
+302
+00:24:34,720 --> 00:24:39,000
+real description بشوف وصفه دقيق كيف بيكون لأ لما
+
+303
+00:24:39,000 --> 00:24:42,700
+بروح بقولك في عند ال model تبعت الجوال مكونا من او
+
+304
+00:24:42,700 --> 00:24:47,500
+هيو كده فبديك وصفه جدش حجمه جدش الكاميرا جدش وزنه
+
+305
+00:24:47,500 --> 00:24:50,020
+جدش ال processor جدش ال memory جدش ال storage
+
+306
+00:24:50,020 --> 00:24:53,760
+تبعته ايش هو التقنية المستخدمة مع ال bluetooth مع
+
+307
+00:24:53,760 --> 00:24:57,300
+ال land مع ال wireless عفوا كل الشغلات هذه بتكون
+
+308
+00:24:57,300 --> 00:25:04,310
+موصوفة وبالتالي ال modelهي عبارة عن طريقة لوصف شيء
+
+309
+00:25:04,310 --> 00:25:07,150
+معين، objects معين مرة عليكوا تشغلوا اسمها data
+
+310
+00:25:07,150 --> 00:25:11,930
+model في ال database زمان؟ الفصل الماضي يا إيهاب
+
+311
+00:25:11,930 --> 00:25:16,970
+لما اتكلمنا على ال data model و قبلها انت بتعرف
+
+312
+00:25:16,970 --> 00:25:21,750
+شوية عن ال relational model تمام؟ مصبوط؟ ففعليا
+
+313
+00:25:21,750 --> 00:25:25,450
+ليش بسميها model؟ لأنه بوصف البيانات كنت وبالتالي
+
+314
+00:25:25,450 --> 00:25:31,710
+أنا الآن ال model اللي هتكلم عليههي عبارة عن آلية
+
+315
+00:25:31,710 --> 00:25:37,370
+لوصف الـ knowledge ما تنساش ال data mining هدفها
+
+316
+00:25:37,370 --> 00:25:42,450
+knowledge
+
+317
+00:25:42,450 --> 00:25:45,870
+extraction
+
+318
+00:25:45,870 --> 00:25:53,930
+ولا لأ؟ هدف ال mining task استخراج knowledge من ال
+
+319
+00:25:53,930 --> 00:25:56,970
+data set اللي موجودة طب ال knowledge اللي طلعت هاي
+
+320
+00:25:58,780 --> 00:26:04,060
+كيف بدي أوصفها؟ كيف بدي استخدمها؟ لازم تكون ضمن
+
+321
+00:26:04,060 --> 00:26:10,040
+model معين عشان نقدراش نتكلم عليه الآن بالمثال
+
+322
+00:26:10,040 --> 00:26:14,300
+اللي موجود عندي هان في
+
+323
+00:26:14,300 --> 00:26:18,800
+عندي input raw data مجموعة من التفاح حسب الصورة
+
+324
+00:26:18,800 --> 00:26:26,140
+اللي موجودة عندي هان تمان تفاحات أحجامهم ألوانهم
+
+325
+00:26:27,010 --> 00:26:30,190
+الأوراق اللي موجودة عليهم بالإضافة للريحة والطعم
+
+326
+00:26:30,190 --> 00:26:33,610
+ريحة
+
+327
+00:26:33,610 --> 00:26:38,890
+طفاح اللي هو ريحة ولا ماله مش ريحة ممتاز لو ضليتك
+
+328
+00:26:38,890 --> 00:26:41,630
+ساكتكم بقولك كيف بندخلها بس وما أنك انت سألني
+
+329
+00:26:41,630 --> 00:26:46,810
+خلصنا فالآن هذه ال characteristics الوصفية تبعت ال
+
+330
+00:26:46,810 --> 00:26:51,750
+data هي هم هروح نديها لل algorithm او اختار
+
+331
+00:26:51,750 --> 00:26:55,290
+algorithm machine learning algorithmيقرأ ال data
+
+332
+00:26:55,290 --> 00:27:03,870
+set كلتها يعملها تحليل يوجد علاقة ما بين الحجم و
+
+333
+00:27:03,870 --> 00:27:10,110
+اللون و الرائحة و الطعم كل الشغلات هذه لما تديله
+
+334
+00:27:10,110 --> 00:27:14,570
+ال data set او العناصر هذه يكون قادر على ان يقول
+
+335
+00:27:14,570 --> 00:27:20,590
+لي ان هذه تفاحة الان ال model هذا انا روحت اختبرته
+
+336
+00:27:20,590 --> 00:27:27,690
+بتفاحة خضرةتفاحة ولا لأ؟ تمام؟ اللون واحدة من ال
+
+337
+00:27:27,690 --> 00:27:32,010
+characteristics اللي كانت موجودة بس مش كل شيء الان
+
+338
+00:27:32,010 --> 00:27:37,070
+ال model تبعي الأصل يقول إنه هذا تفاحة لو أنا روحت
+
+339
+00:27:37,070 --> 00:27:45,770
+أضف تهان مجموعة
+
+340
+00:27:45,770 --> 00:27:50,750
+من ال manga أو البرتقال تمام؟ مجموعة من البرتقال
+
+341
+00:27:50,750 --> 00:27:57,670
+وصار في اندي two groupsفي عندي هذه apple
+
+342
+00:27:57,670 --> 00:28:04,870
+و هذه orange ال system اللي يتعرف على خصائص ال
+
+343
+00:28:04,870 --> 00:28:08,890
+apple هي المفهوم التصنيف انه انا خلاص okay هدولة
+
+344
+00:28:08,890 --> 00:28:13,550
+هي المصنف تبعي apple او orange فال system هيتعرف
+
+345
+00:28:13,550 --> 00:28:22,190
+على خصائص ال apple و خصائص التفاح و يبني modelقادر
+
+346
+00:28:22,190 --> 00:28:28,050
+على التفريق ما بين التنتين فلما أنا بديه تفاحة،
+
+347
+00:28:28,050 --> 00:28:30,750
+هيقوللي تفاحة، اديته برتقالة، الاصلي يقوللي
+
+348
+00:28:30,750 --> 00:28:37,430
+برتقالة، طب لو اديته حبة مانجا، مش هيعرف، غلط، في
+
+349
+00:28:37,430 --> 00:28:41,490
+ال classification هان، لأنه آلة، وفيش مجال، يا
+
+350
+00:28:41,490 --> 00:28:45,270
+هذه، يا هذه، فيش مجال، مافيش خيار تالت، انت
+
+351
+00:28:45,270 --> 00:28:48,290
+ماتركتلهوش، في موضوع التصنيف، هي اللي أنا بوصلك
+
+352
+00:28:48,290 --> 00:28:53,020
+إياها، في موضوع التصنيف، فيش مجال،عندك أربع فئات
+
+353
+00:28:53,020 --> 00:28:55,920
+بدك تحط تحت واحدة من الأربع فئات عندك two
+
+354
+00:28:55,920 --> 00:29:00,020
+categories بدك تضيفه لواحدة من ال categories بس
+
+355
+00:29:00,020 --> 00:29:04,760
+غالبا هيضيفه للأقرب يعني تخيل أنه والله كان في ال
+
+356
+00:29:04,760 --> 00:29:08,800
+manga اللي بنتكلم عليها هي لونها أحمر مثلا وماخدة
+
+357
+00:29:08,800 --> 00:29:16,910
+شكل كراوي أكثر تمام فهتروح باتجاه الطفاحففي الآخر
+
+358
+00:29:16,910 --> 00:29:21,570
+هو صح صنفها غلط في كل الأحوال بس هو اجتهد .. اجتهد
+
+359
+00:29:21,570 --> 00:29:27,390
+و راح ضافها للأقرب حسب ال object اللي موجود لكن في
+
+360
+00:29:27,390 --> 00:29:32,190
+المقابل كان في حبة manga أخرى أكبر حجما و لونها
+
+361
+00:29:32,190 --> 00:29:37,430
+برتقالي تمام؟ فمش ضروري أروح أصنفلك إياها تفاح
+
+362
+00:29:37,430 --> 00:29:42,030
+بروح أصنفلك إياها إيش؟ Orange لأنه فعليا ال
+
+363
+00:29:42,030 --> 00:29:49,070
+characteristic تبعتها متشابهة نعملأ مش ممكن عمرك
+
+364
+00:29:49,070 --> 00:29:54,310
+مرة عليك برنامج انه بيبني فئة لوحده ممكن اتعلم
+
+365
+00:29:54,310 --> 00:29:57,650
+تبني .. تبني الحالة تبني الحالة ده حالة يعني اذا
+
+366
+00:29:57,650 --> 00:30:01,890
+تيجي ده اولشه اول مرة تصنفها لحالة و ممكن ال human
+
+367
+00:30:01,890 --> 00:30:06,970
+يقولش شوف رجع لوين بعدين ال human يقول ال human هو
+
+368
+00:30:06,970 --> 00:30:12,520
+صاحب القرار عمرها مالقالةغيرت حال تمام أو أخدت
+
+369
+00:30:12,520 --> 00:30:15,980
+decision لوحدها حتى كل اللي بنشوفه في الذكاء
+
+370
+00:30:15,980 --> 00:30:23,100
+الاصطناعي مرده لتخطيط صحيح من ال human وتصرف الآلة
+
+371
+00:30:23,100 --> 00:30:27,020
+ما هو إلا من تصرف ال human ضمن المسار اللي رسمه
+
+372
+00:30:27,020 --> 00:30:30,540
+الآن سيبك من الأفلام اللي احنا بنشوفها ان ال .. ال
+
+373
+00:30:30,540 --> 00:30:34,620
+.. اتطورته حتى تقطع .. تقطع .. تجيب البشر وتحتل
+
+374
+00:30:34,620 --> 00:30:39,060
+الكون ده مافيش منه تمام؟
+
+375
+00:30:40,540 --> 00:30:45,060
+طيب، الآن فبالتالي يا محمد احنا بنتكلم فش مجال فش
+
+376
+00:30:45,060 --> 00:30:48,280
+مجال ان اروح فئة اضيف فئة جديدة لأ الفئات موجودة
+
+377
+00:30:48,280 --> 00:30:52,340
+مسبقا و بناء عليه انا هشتغل مع الفئات اللي موجودة
+
+378
+00:30:52,340 --> 00:30:56,060
+عندى فضل
+
+379
+00:30:59,640 --> 00:31:02,160
+مية لمية الفرق بين ال regression و ال
+
+380
+00:31:02,160 --> 00:31:06,300
+classification ان ال classification categorical
+
+381
+00:31:06,300 --> 00:31:10,940
+value discrete values واحدة من التنتين هدول بينما
+
+382
+00:31:10,940 --> 00:31:15,960
+بال regression بده يديني قيمة continuous value
+
+383
+00:31:15,960 --> 00:31:26,380
+number بده تكون موجودة عندى طيب الآن ال
+
+384
+00:31:26,380 --> 00:31:32,500
+classificationهي عبارة عن تكنيك أو قالية أو تقنية
+
+385
+00:31:32,500 --> 00:31:36,440
+من أجل التنبؤ
+
+386
+00:31:36,440 --> 00:31:43,340
+to predict group membership شو يعني group
+
+387
+00:31:43,340 --> 00:31:50,640
+membership؟ عضوية المجموعات، هل هذا ملائم لعضوية
+
+388
+00:31:50,640 --> 00:31:54,240
+المجموعة الفلانية ولا لأ؟ في عندي مجموعة اسمها الـ
+
+389
+00:31:54,240 --> 00:32:00,440
+Smart Students في الـ ITأنت ملائم إلها ولا غير
+
+390
+00:32:00,440 --> 00:32:05,860
+ملائم؟ مش أنت اللي بتقرر، تمام؟ في لجنة هتروح
+
+391
+00:32:05,860 --> 00:32:11,460
+تختبرك وبناء عليها تقول أنت تنصلح ولا ما تصلحش،
+
+392
+00:32:11,460 --> 00:32:14,380
+ليش؟ لأنه كمان مرة ال prediction مش أنت صاحب
+
+393
+00:32:14,380 --> 00:32:19,160
+قراره، عفوا ال classification أو التصطيف مش أنت
+
+394
+00:32:19,160 --> 00:32:23,980
+صاحب قراره، في عندنا كل صنف إله rule أو خصائص
+
+395
+00:32:23,980 --> 00:32:29,960
+معينةكل صنف له خصائص معينة وبالتالي .. بالتالي انت
+
+396
+00:32:29,960 --> 00:32:33,760
+بدك تخضع للخصائص اللي موجودة ان طبقت عليك الخصائص
+
+397
+00:32:33,760 --> 00:32:39,560
+فانت بتنتمي للمجموعة ما انطبقتش لأ ممكن تنتمي
+
+398
+00:32:39,560 --> 00:32:43,880
+للمجموعة الثاني او التالتة حسب العناصر اللي موجودة
+
+399
+00:32:43,880 --> 00:32:47,980
+عندها نعم decision
+
+400
+00:32:47,980 --> 00:32:51,340
+واحد
+
+401
+00:32:51,340 --> 00:32:56,570
+فقط هينتمي لواحدة فقط مانتميش للتنتينفي عندك مشكلة
+
+402
+00:32:56,570 --> 00:33:00,150
+في الـ model تبعتك في ال prediction model تبعتك
+
+403
+00:33:00,150 --> 00:33:04,310
+الآن كريم بيطرح بيقول كالتالي لو كان في عندي
+
+404
+00:33:04,310 --> 00:33:11,070
+instance أو عندي object يمكن أن يصنف تحت شغلتين
+
+405
+00:33:11,070 --> 00:33:17,090
+حسب القلة هذا الكلام مرفوض يتصنف تحت قلة تحت عنصر
+
+406
+00:33:17,090 --> 00:33:22,590
+واحد نظبط يا كريم؟ الآن في الشيء الآن إذا أنا
+
+407
+00:33:22,590 --> 00:33:28,260
+قلتله ifالـ Condition هذا، لو تحقق الشرط هذا، وين
+
+408
+00:33:28,260 --> 00:33:33,640
+هيروح؟ على الـ Block تبعتها، لو ما تحققش، مافيش
+
+409
+00:33:33,640 --> 00:33:37,080
+اللي غير الـ Else، وبالتالي مافيش مجال، يا هن يا
+
+410
+00:33:37,080 --> 00:33:40,740
+هن، لأن طبيعة الـ System اللي احنا بنشتغل معاه،
+
+411
+00:33:40,740 --> 00:33:47,240
+لكن هل ممكن الـ System يخطأ ويديني نفس الـ Input
+
+412
+00:33:47,240 --> 00:33:51,080
+أو نفس الـ Object هذا في two categories مختلفات،
+
+413
+00:33:51,080 --> 00:33:55,370
+يعني لو جربت عليه مرتين،في حالة الـ Deterministic
+
+414
+00:33:55,370 --> 00:34:01,570
+مستحيل في حالة الـ Deterministic مستحيل خلاص،
+
+415
+00:34:01,570 --> 00:34:04,290
+ادّاك النتيجة، النتيجة هتحطل تطلعلك بالسمرار لكن
+
+416
+00:34:04,290 --> 00:34:07,830
+في حالة الـ Probabilistic ممكن، ليش؟ لأنه هصير
+
+417
+00:34:07,830 --> 00:34:11,190
+يعتمد على Random Sample من الـ Data Set ويشغل
+
+418
+00:34:11,190 --> 00:34:15,650
+عليها ويديك على الأقرب منهم Anyway، الآن الفكرة
+
+419
+00:34:15,650 --> 00:34:18,450
+كالتالي إنه أنا بدي أعمل Prediction للـ Group
+
+420
+00:34:18,450 --> 00:34:22,290
+Membership أو أتنبأ بعضوية المجموعات اللي عنديها
+
+421
+00:34:23,410 --> 00:34:27,310
+مثل اللي انا بدأت نبق بالطقس هل هو sunny ولا rainy
+
+422
+00:34:27,310 --> 00:34:32,030
+ولا cloudy بينفعش اروح اقول والله انا في عندي ..
+
+423
+00:34:32,030 --> 00:34:35,190
+بدأ أضيف كمان category جديدة مغبر من عندي أو ال
+
+424
+00:34:35,190 --> 00:34:39,530
+system يقترح علي لأ هذه ال category هي اللي موجودة
+
+425
+00:34:39,530 --> 00:34:48,790
+وانت بدك تصنف كل الأيام لواحد من التلاتة هدول في
+
+426
+00:34:48,790 --> 00:34:54,470
+ال machine learning بشكل عام ال classifierعبارة عن
+
+427
+00:34:54,470 --> 00:35:01,970
+computational object أو computational model حساب
+
+428
+00:35:01,970 --> 00:35:08,370
+على مرحلتين المرحلة
+
+429
+00:35:08,370 --> 00:35:12,410
+الأولى بنسميها ال training مرحلة
+
+430
+00:35:13,190 --> 00:35:15,970
+للـ training مفهوم مرحلة الـ training يا جماعة
+
+431
+00:35:15,970 --> 00:35:21,250
+الخير انه انا فعليا اعمل analysis لكل العناصر اللي
+
+432
+00:35:21,250 --> 00:35:24,530
+موجودة التمن الطفاحات اللي شوفناهم بالشكل السابق
+
+433
+00:35:24,530 --> 00:35:27,290
+والست بورتقالات اللي انتصرت sentimani بشكل وهمي
+
+434
+00:35:27,290 --> 00:35:32,490
+انا هان بدي اخد كل instance و اربط العلاقة و احاول
+
+435
+00:35:32,490 --> 00:35:36,130
+اوجد علاقة بين خصائص ال object هذا مع ال label
+
+436
+00:35:36,130 --> 00:35:43,440
+عشان اقدر اخد generalknowledge أو general rules لـ
+
+437
+00:35:43,440 --> 00:35:48,260
+classification عشان لما يجيني أي object أقول لو
+
+438
+00:35:48,260 --> 00:35:53,760
+كان وزن ال object هذا كذا ولونه orange تمام؟ وشكله
+
+439
+00:35:53,760 --> 00:36:01,740
+دائري فهذا حتما بورتقالة otherwise else هيكون إيش؟
+
+440
+00:36:01,740 --> 00:36:05,200
+تفاح لأنه ماعنديش خيارات غير التفاح فبصير إما
+
+441
+00:36:05,200 --> 00:36:12,530
+بورتقالأو تفاح و تحت التفاح ممكن تحط كل العناصر أو
+
+442
+00:36:12,530 --> 00:36:16,610
+كل الفواكه التانية التي لم يقدر ان يصنفها ال
+
+443
+00:36:16,610 --> 00:36:20,770
+system على انهاش برتقال و عادة في اللغات بنسميها
+
+444
+00:36:20,770 --> 00:36:27,350
+binary classificationtrue وfalse positive و
+
+445
+00:36:27,350 --> 00:36:32,570
+negative orange not orange مابنقولش تفاح لأن لو حط
+
+446
+00:36:32,570 --> 00:36:35,410
+المانجا وحط الموز تحت التفاح حصير في عنا خطأ
+
+447
+00:36:35,410 --> 00:36:40,190
+فبنقول احنا orange و not orange و هكذا الآن في
+
+448
+00:36:40,190 --> 00:36:46,670
+مرحلة لل training زي ما قلنا انه هياخد كل ال data
+
+449
+00:36:46,670 --> 00:36:51,450
+points اللي موجودة عندها اللي هي ال samples مع ال
+
+450
+00:36:51,450 --> 00:36:58,820
+correct label المرتبط فيهاويحاول يتعلم يصل لـ
+
+451
+00:36:58,820 --> 00:37:03,280
+pattern معين كيف ال label هذا مرتبط بالـ point زي
+
+452
+00:37:03,280 --> 00:37:09,020
+ما حكينا قبل لحظات بمجرد إن ال system هذا تعلم بدي
+
+453
+00:37:09,020 --> 00:37:13,300
+يبدأ يتصرف الآن فتصرفه هيكون عبارة عن function
+
+454
+00:37:13,300 --> 00:37:18,900
+prediction function هتاخد ال input تبع ال sample
+
+455
+00:37:18,900 --> 00:37:23,480
+تبع ال data point بدون ال label عشان تعمل هي
+
+456
+00:37:23,480 --> 00:37:27,500
+predictionللـ label أو لل category اللي موجودة
+
+457
+00:37:27,500 --> 00:37:33,980
+عندها فال
+
+458
+00:37:33,980 --> 00:37:37,240
+step الأولى بنسميها احنا ال model construction
+
+459
+00:37:37,240 --> 00:37:43,040
+بناء ال model في ال regression يا جماعة الخير وحتى
+
+460
+00:37:43,040 --> 00:37:45,960
+في ال classification ممكن ال model تبعي يكون عبارة
+
+461
+00:37:45,960 --> 00:37:48,620
+في ال binary classification يكون عبارة عن linear
+
+462
+00:37:48,620 --> 00:37:53,740
+line linear equation ال Y equal M
+
+463
+00:38:07,350 --> 00:38:13,660
+معادلة خط مستقيم ماهي الخط المستقيم مهمته؟بيفصل
+
+464
+00:38:13,660 --> 00:38:17,020
+بين شغلتين اللي فوق الخط category و اللي تحت الخط
+
+465
+00:38:17,020 --> 00:38:20,800
+category تانية ففي لحظة ال binary classification
+
+466
+00:38:20,800 --> 00:38:25,840
+إذا قدرت أنا أصل لمعادلة الخط المستقيم اللي بيفصل
+
+467
+00:38:25,840 --> 00:38:31,160
+ما بين ال two categories خلاص هي ال model تبعي
+
+468
+00:38:31,160 --> 00:38:37,700
+بصير باخد ال instances تمام؟ و بقى قارنهاإذا كانت
+
+469
+00:38:37,700 --> 00:38:41,080
+أكبر من كده فهي positive أقل من كده فهي negative
+
+470
+00:38:41,080 --> 00:38:44,860
+true أو false orange أو not orange فهي ال model
+
+471
+00:38:44,860 --> 00:38:49,480
+اللي أنا بدور عليه في ال model construction احنا
+
+472
+00:38:49,480 --> 00:38:53,500
+عادة بنفترض ان ال data set كل sample في ال data
+
+473
+00:38:53,500 --> 00:39:00,070
+set بتنتمي ل only one categoryلأن لو نفس ال data
+
+474
+00:39:00,070 --> 00:39:03,030
+set أو عفوا نفس ال instance هذه تكررت مع different
+
+475
+00:39:03,030 --> 00:39:07,250
+category اتوا في عندي مشكلة الشغل اللي بتعلمها قبل
+
+476
+00:39:07,250 --> 00:39:10,390
+شوية بدي احاول انفيها او بدي اتراجع عنها و احط
+
+477
+00:39:10,390 --> 00:39:13,970
+واحدة مضادة لها و هذا الكلام ولا عمره بصير تماما
+
+478
+00:39:13,970 --> 00:39:18,070
+تماما مثل ما اجي اقول اعلم الولد الصغير اقوله 2
+
+479
+00:39:18,070 --> 00:39:23,850
+ضرب 3 يساوي 6 و في نفس الوجهة اروح اقوله بعد فترة
+
+480
+00:39:23,850 --> 00:39:26,090
+2 ضرب 3 يساوي 16
+
+481
+00:39:29,010 --> 00:39:34,810
+يحفظ مين فيهم؟ مين فيهم الصح؟ الأخيرة الصح اه؟
+
+482
+00:39:34,810 --> 00:39:37,850
+مابيعرفش ال system ال computer مابيعرفش انت في
+
+483
+00:39:37,850 --> 00:39:42,370
+مرحلة التلقين التنتين صح و لما تصير في عنده معلومة
+
+484
+00:39:42,370 --> 00:39:47,870
+متضاربة فعليا مش هيقدر ياخد decision في أي حالة
+
+485
+00:39:47,870 --> 00:39:52,140
+فيها اتنين ضرب تلاتةهذا اللي بيصير عشان هي كده
+
+486
+00:39:52,140 --> 00:39:55,820
+نفترض انه في موضوع ال learning أو في مرحلة لل
+
+487
+00:39:55,820 --> 00:39:58,180
+training أو ال learning في ال model construction
+
+488
+00:39:58,180 --> 00:40:04,680
+انه كل instance بتنتمي فقط ل only one category one
+
+489
+00:40:04,680 --> 00:40:10,620
+label مجموعة ال data ال 6 اللي انا بدي ادرب عليها
+
+490
+00:40:10,620 --> 00:40:14,640
+النظام او اللي بدي حللها النظام بحيث انه ياخد منها
+
+491
+00:40:14,640 --> 00:40:19,910
+يستخلص ال model منها بسميها ال trainingset بسميها
+
+492
+00:40:19,910 --> 00:40:26,410
+ال training set دكتور نعم ال training set كلمة
+
+493
+00:40:26,410 --> 00:40:30,110
+بتعمل ال model بنقل عليها لإن كل واحد مثلا فواجب
+
+494
+00:40:30,110 --> 00:40:33,350
+مخل تلقى ال training set من خمسين ألف دورة مش
+
+495
+00:40:33,350 --> 00:40:36,170
+هتبقى ال model مثلا زي ما سيكت في سبوك أو أمازونة
+
+496
+00:40:36,170 --> 00:40:38,530
+بتبني او ال training set دي ال model طب ما احنا
+
+497
+00:40:38,530 --> 00:40:40,970
+جولنا مين جابلنا هيك هيقولنا كل ما كبرت ال
+
+498
+00:40:40,970 --> 00:40:44,610
+training data set تبعتي بكون فرصة ال prediction
+
+499
+00:40:44,610 --> 00:40:48,570
+تبعتي انها تكون أدق أعلىكيف الاسم يعني؟ مثلا خمسين
+
+500
+00:40:48,570 --> 00:40:53,690
+ألف raw شوف لأ لأ شوية انت عندك ال data set كلها
+
+501
+00:40:53,690 --> 00:40:57,410
+خمسين ألف raw و بدك تعمل training ع تلاتين ألف raw
+
+502
+00:40:57,410 --> 00:41:01,370
+مثلا مش كافي لإن عادة جماعة التلخير ال rows
+
+503
+00:41:01,370 --> 00:41:04,990
+المستخدمة أو الحجم لل training set بيكون أكبر من
+
+504
+00:41:04,990 --> 00:41:08,320
+ال testing setيعني الآن إذا بتقدر تعمل training
+
+505
+00:41:08,320 --> 00:41:11,160
+على كل ال data و تختبره في data مختلفة بيكون ممتاز
+
+506
+00:41:11,160 --> 00:41:15,060
+عشان هيك كنا في ال data preparation نأكد هل في
+
+507
+00:41:15,060 --> 00:41:19,160
+مصادر أخرى للبيانات عندك ولا مافيش و جديش حجمها،
+
+508
+00:41:19,160 --> 00:41:22,540
+طبعا؟ الآن إذا أنت لاحظت في أخر assignment أو في
+
+509
+00:41:22,540 --> 00:41:25,720
+ال assignment الأخير مطلوب منك، أخر band اجسم ال
+
+510
+00:41:25,720 --> 00:41:31,500
+data set اللي عندك 70% لل training set و 30% لل
+
+511
+00:41:31,500 --> 00:41:35,380
+test setمصبوط وهذه التسأل ليش؟ لأنه مابديش إياك
+
+512
+00:41:35,380 --> 00:41:38,980
+تدرب كل .. تدربه على نفس .. يعني على نفس ال data و
+
+513
+00:41:38,980 --> 00:41:42,820
+بعدين أجي أحترمه لإن كيف بدي أختبره أو بدي أفحص
+
+514
+00:41:42,820 --> 00:41:48,280
+مدى دقة العنصر كمان مرة يا جماعة الخير بنأكد كل ما
+
+515
+00:41:48,280 --> 00:41:53,800
+كانت ال data set أكبر ال training set أكبر المفروض
+
+516
+00:41:53,800 --> 00:41:56,860
+أن كل ما تكون ال data أو خلنا نقول ال knowledge
+
+517
+00:41:56,860 --> 00:42:02,120
+تبعتي أدقالـ classification تبعتي بتصير أداء لكن
+
+518
+00:42:02,120 --> 00:42:05,220
+برضه مش منطق أن يكون انا في عندى اتنين مليار
+
+519
+00:42:05,220 --> 00:42:10,800
+record تمام؟ وانا بتروح بتقبج عليهم كلهم عملية ال
+
+520
+00:42:10,800 --> 00:42:13,940
+training بحد ذاتها هذه هتصير تاخد مني أشهر لما
+
+521
+00:42:13,940 --> 00:42:17,360
+تنتهي فبتصير ممكن ال task اللي أنا بأشتغل عليها
+
+522
+00:42:17,360 --> 00:42:24,370
+أساسا خلصت بطللها قيمة فانت برضه بتوازن ما بينالـ
+
+523
+00:42:24,370 --> 00:42:28,310
+accuracy تبع النظام و عامل الوقت أو ال performance
+
+524
+00:42:28,310 --> 00:42:34,610
+تبع ال training جدّيش بيحقق نتائج في
+
+525
+00:42:34,610 --> 00:42:40,110
+ال data set اللي موجود عندنا هان الان هاي عندى ال
+
+526
+00:42:40,110 --> 00:42:44,610
+data set ال name ال rank ال years اترجى ولا
+
+527
+00:42:44,610 --> 00:42:48,830
+مايترجاش اتقعد
+
+528
+00:42:48,830 --> 00:42:54,450
+ولا مايتقعدشنريح ولا ما نريحوش لأن هاي ال class
+
+529
+00:42:54,450 --> 00:42:58,890
+اللي عندي yes و no فاروح أعمل التحليل لل data set
+
+530
+00:42:58,890 --> 00:43:04,410
+اللي موجودة وكان مفاده إنه ال algorithm راح أداني
+
+531
+00:43:04,410 --> 00:43:09,590
+classifier model prediction model لل class لميه
+
+532
+00:43:09,590 --> 00:43:13,910
+ممكن أختار؟ ل yes و no بحيث إنه أنا لو زودت بال
+
+533
+00:43:13,910 --> 00:43:20,750
+rank وعدد سنوات الخبرةيدّين ال label اللي موجود
+
+534
+00:43:20,750 --> 00:43:27,890
+فجال ال model تبعي هو عبارة عن if then rule لو كان
+
+535
+00:43:27,890 --> 00:43:31,890
+ال rank professor وال year أكبر أو يساوي 6 أكبر من
+
+536
+00:43:31,890 --> 00:43:42,910
+6 معناته نرجّي تمام المرحلة التانية ال model usage
+
+537
+00:43:42,910 --> 00:43:48,060
+بالملاحظة يا شبابالـ classification algorithm أنا
+
+538
+00:43:48,060 --> 00:43:55,280
+هان غالبا .. غالبا يشتغل فعليا as a black box يعني
+
+539
+00:43:55,280 --> 00:43:58,980
+هدي ال input و أخد منه ال output اللي هو ال model
+
+540
+00:43:58,980 --> 00:44:03,300
+إيش اللي بيصير .. إيش اللي بيصير؟ غالبا مش كل
+
+541
+00:44:03,300 --> 00:44:06,820
+الناس المعنية فيهم بس أنا بالمساك هذا هدخل بتفاصيل
+
+542
+00:44:06,820 --> 00:44:11,240
+عشان أعرف فعليا ال classifier كيف اشتغل تمام؟ لكن
+
+543
+00:44:11,240 --> 00:44:15,730
+في بعض ال classifiersمش هنكون او مش هنتطرق لها
+
+544
+00:44:15,730 --> 00:44:22,230
+بالشغل تبعتها بمجرد ان ال classifier انبنى بده
+
+545
+00:44:22,230 --> 00:44:25,630
+اروح اطبقه او بده اروح استخدمه ال model هذا الآن
+
+546
+00:44:25,630 --> 00:44:32,150
+بيصير قابل للاستخدام فيش
+
+547
+00:44:32,150 --> 00:44:38,150
+بده استخدمه؟ يعمل classifying لمين؟ لل feature، ل
+
+548
+00:44:38,150 --> 00:44:41,810
+future او ال unknown objects
+
+549
+00:44:43,140 --> 00:44:46,840
+بالمثال تابعني السابق هذا أنا صار فيه عندى Jeff
+
+550
+00:44:46,840 --> 00:44:53,200
+professor و 4 سنوات الاسم neglected مش هعتبره لإن
+
+551
+00:44:53,200 --> 00:44:58,660
+ال role تبعي مبني على ال rank و ال years و بناء
+
+552
+00:44:58,660 --> 00:45:03,480
+عليه أنا بدي أخد القرار كان بيقول لي if ال rank
+
+553
+00:45:03,480 --> 00:45:07,280
+equal
+
+554
+00:45:07,280 --> 00:45:17,370
+of or ال years أكبر من 6then yes مظبوط هاي ال role
+
+555
+00:45:17,370 --> 00:45:23,110
+تبعي هاي ال model تبعي الآن هاي ال data اللي عندى
+
+556
+00:45:23,110 --> 00:45:26,710
+حقق عليها بطبقها مباشرة باخد ال instances و بطبق
+
+557
+00:45:26,710 --> 00:45:30,250
+ال instance value و بطبق عليها هان و باخد القرار
+
+558
+00:45:30,250 --> 00:45:37,070
+تبع لل role اللي موجود عندى طيب
+
+559
+00:45:37,070 --> 00:45:40,690
+لو ماكانش ماكانش professor كان assistant professor
+
+560
+00:45:40,690 --> 00:45:47,550
+و 5 سنواتNo مع ال else مباشرة مع ال else مباشرة
+
+561
+00:45:47,550 --> 00:45:54,150
+الارجل مع الخير معناته انا بحاجة في مرحلتين عشان
+
+562
+00:45:54,150 --> 00:45:56,690
+اشتغل مع ال classifier بحاجة اشتغل على مرحلتين
+
+563
+00:45:56,690 --> 00:46:00,550
+المرحلة الأولى اللي هي ال model construction
+
+564
+00:46:00,550 --> 00:46:05,770
+وبيلزمني data عشان ادرب ال model عليها بين جثين
+
+565
+00:46:05,770 --> 00:46:08,710
+بلزمني data عشان ال system او ال learning
+
+566
+00:46:08,710 --> 00:46:14,230
+algorithm يحللها ويبني model بناء عليهاالشغلة
+
+567
+00:46:14,230 --> 00:46:19,450
+التانية انه انا بدي افحص ال model او بدي استخدم ال
+
+568
+00:46:19,450 --> 00:46:22,830
+model في ال prediction وهي بنسميها احنا المرحلة
+
+569
+00:46:22,830 --> 00:46:26,630
+مرحلة ال testing او ال test فانا بدي اجسم ال data
+
+570
+00:46:26,630 --> 00:46:33,130
+set تبعتي لل training set و
+
+571
+00:46:33,130 --> 00:46:40,340
+test set ليش؟ عشان لما انا احصل على modelعشان لما
+
+572
+00:46:40,340 --> 00:46:43,460
+أحصل على model كيف بدي أتعرف إن ال model هذا شغال
+
+573
+00:46:43,460 --> 00:46:48,200
+كويس ولا لأ؟ بدي إنه النتيجة المطلوبة ولا بشتغل من
+
+574
+00:46:48,200 --> 00:46:54,880
+رأسه؟ فبدي أعمله evaluation طيب evaluation how did
+
+575
+00:46:54,880 --> 00:47:00,380
+that test set؟ هو الأصل هي unseen data، مصبوط؟
+
+576
+00:47:00,380 --> 00:47:05,760
+فعليا unseen، ماشفهاش، بس دي فيها label، حخف ال
+
+577
+00:47:05,760 --> 00:47:10,620
+label عنه، عشان أقدر إيش؟أقارن بين النتيجة اللي هو
+
+578
+00:47:10,620 --> 00:47:16,080
+هيقين إياها والنتيجة اللي هحصل عليها وانا بدي أسأل
+
+579
+00:47:16,080 --> 00:47:25,980
+سؤال هل ال test set labelled set؟ في مرحلة ال
+
+580
+00:47:25,980 --> 00:47:33,160
+evaluation هل ال test set labelled set؟ طيب، الآن
+
+581
+00:47:33,160 --> 00:47:34,100
+أنا جديد كتبت
+
+582
+00:47:36,780 --> 00:47:43,060
+الـ body mass index point تلاتة سبعة والـ chest
+
+583
+00:47:43,060 --> 00:47:52,020
+pain yes تصلب شرايين Blocked Artery yes قال لي هذا
+
+584
+00:47:52,020 --> 00:47:57,720
+heart disease هذا الأصل اللي نعملها prediction صح؟
+
+585
+00:47:57,720 --> 00:48:06,090
+أنا أخدتها على عليتها هيك قال لي noبتقدر تقول عن
+
+586
+00:48:06,090 --> 00:48:09,430
+ال prediction بتاعته صح ولا غلط؟ بتقدر تعمل
+
+587
+00:48:09,430 --> 00:48:16,590
+evaluation لإلها؟ بتقارنها بإيش؟ بال level الأصلي
+
+588
+00:48:16,590 --> 00:48:21,930
+فعشان هيك ال test set must be label عشان هيك بعد
+
+589
+00:48:21,930 --> 00:48:24,470
+ما انت خلصت عملت processing في ال assignment
+
+590
+00:48:24,470 --> 00:48:29,890
+وقلتلك اجسم اجسم ال data set لجزءين جزء ال
+
+591
+00:48:29,890 --> 00:48:35,340
+trainingوجزء Testing بس اللي هيصير فعلياً لما أصل
+
+592
+00:48:35,340 --> 00:48:40,820
+مرحلة ال evaluation هخب ال test او هخب ال label
+
+593
+00:48:40,820 --> 00:48:45,780
+تبعت مين تبعت ال test set عشان اقول اتفضل هاي
+
+594
+00:48:45,780 --> 00:48:49,640
+unseen ده تعملهم prediction فبديني مجموعة ال
+
+595
+00:48:49,640 --> 00:48:53,160
+labels اللي predicted وعندي ال original او ال true
+
+596
+00:48:53,160 --> 00:48:58,320
+labelled بصير اقارن و بقدر اتكلم انه جديش هذا ال
+
+597
+00:48:58,320 --> 00:48:59,180
+model تبعي accurate
+
+598
+00:49:03,990 --> 00:49:08,470
+أه، الآن أحمد بيسأل، بيقول هل بقدر أروح أرجع ال
+
+599
+00:49:08,470 --> 00:49:11,830
+data test set هذه و أوديها على ال training عشان
+
+600
+00:49:11,830 --> 00:49:17,350
+يتعلم من أخطائه؟ انت already علمته و كمان لو انت
+
+601
+00:49:17,350 --> 00:49:21,270
+روحت أخدته، يعني هيك، من وين بدك تختبره بعد هيك؟
+
+602
+00:49:21,270 --> 00:49:25,130
+بدك تجيبله data set شديدة، طب ليش مش من نفس ال
+
+603
+00:49:25,130 --> 00:49:30,450
+data set؟ لأن already هو شافها، تمام من الشباب،
+
+604
+00:49:30,450 --> 00:49:37,330
+بينفعش أنا آجيأديك الامتحان و اقولك اتفضل حلو تمام
+
+605
+00:49:37,330 --> 00:49:42,530
+و بكرا بدي اختبرك فيها في الأسئلة هاي ما أصبحاش
+
+606
+00:49:42,530 --> 00:49:50,370
+امتحان ولا أصبح امتحان امتحان مسرب اه فش يعني عفوا
+
+607
+00:49:50,370 --> 00:49:53,550
+كلكوا هتنجحوا مصبوط الأصل كده و اللي بديهوش ينجح
+
+608
+00:49:53,550 --> 00:49:58,570
+يتطخدك الساعة بيكون بس فعليا هل النجاح هذا حقيقي؟
+
+609
+00:49:58,570 --> 00:50:04,890
+لأ الحاجات هذا fake النجاح هذا fakeأما احنا قلنا
+
+610
+00:50:04,890 --> 00:50:09,390
+الفكرة وين ان بعد ما انا جسمت هان في مرحلة ال
+
+611
+00:50:09,390 --> 00:50:14,890
+evaluation مش بده يشوف .. بده يشوف ال .. بيشوف هو
+
+612
+00:50:14,890 --> 00:50:19,370
+اجتيش .. لأ بده يشوف ال .. ال .. ال .. ال .. ال
+
+613
+00:50:19,370 --> 00:50:24,670
+rock دي قارن فوق هيو .. هذه .. هذه .. بده يقارن
+
+614
+00:50:24,670 --> 00:50:30,690
+هذهلأ ومش قارنها مع اللي فوق هو على ال model بناء
+
+615
+00:50:30,690 --> 00:50:33,950
+على ال equation اللي انكتبت يعني مثلا هدولة أربع
+
+616
+00:50:33,950 --> 00:50:37,470
+attributes أو three attributes A1, A2, A3 ومع ال
+
+617
+00:50:37,470 --> 00:50:41,670
+label بدي أفترض أنا جدلا ان ال model تبعي هو عبارة
+
+618
+00:50:41,670 --> 00:50:52,330
+عن ال Y بيذهب تساوي M1 في A1 زائد M2 في A2 زائد M3
+
+619
+00:50:52,330 --> 00:51:03,080
+في A3زائد الـ B مش هذا AI الموديل اللي بتعالج
+
+620
+00:51:03,080 --> 00:51:06,480
+أولادي؟ اه هي جزء من ال AI ال machine learning جزء
+
+621
+00:51:06,480 --> 00:51:11,100
+من ال AI يعني اذا ما بنعملش كود بسيط انا ماقلتش
+
+622
+00:51:11,100 --> 00:51:15,140
+كود بسيط انا حاول توصلك صورة ال model كيه بده يكون
+
+623
+00:51:15,140 --> 00:51:19,580
+بس الآن ال model اللي بتكلم عليه يا راني هيهالـ
+
+624
+00:51:19,580 --> 00:51:24,160
+system فعليا بعد ما درس كل ال training data راح
+
+625
+00:51:24,160 --> 00:51:30,260
+قال لي M1 هذه قيمتها point 17 من 100 زائد هذه
+
+626
+00:51:30,260 --> 00:51:41,360
+قيمتها 73 و هذه قيمتها point 0.5 و ال B point 882
+
+627
+00:51:41,360 --> 00:51:46,380
+مثلا ايش بيظل عندي قيمة ال attributes هيها موجودة
+
+628
+00:51:47,610 --> 00:51:50,150
+مصبوط؟ فباخد قيمة الـ attributes و بضربها في القيم
+
+629
+00:51:50,150 --> 00:51:53,530
+اللي موجودة و بجمعهم بناءً على ال Y اللي أنا حصلت
+
+630
+00:51:53,530 --> 00:51:58,870
+عليها ال Y الأصل تكون مين؟ ال class فبدي أقارن ال
+
+631
+00:51:58,870 --> 00:52:04,950
+predicted class ال predicted Y مع ال actual Y ال
+
+632
+00:52:04,950 --> 00:52:08,070
+actual label اللي موجودة عندي اللي أنا خفيتها في
+
+633
+00:52:08,070 --> 00:52:12,670
+مرحلة ال evaluation يعني انتجيها بعد .. اه بعد ما
+
+634
+00:52:12,670 --> 00:52:15,530
+يقيم يعني انت الآن بتشوف .. حل الأسئلة بتاعة
+
+635
+00:52:15,530 --> 00:52:24,940
+الامتحان قبل ولا بعد؟بعد؟ goal طب كيف و بطل ليش؟
+
+636
+00:52:24,940 --> 00:52:29,760
+ايه
+
+637
+00:52:29,760 --> 00:52:33,180
+كانت بتتعلم، ماتجلجش حضرت ال data set اللي عليك
+
+638
+00:52:33,180 --> 00:52:39,400
+المهم؟ أكيد و عملت pre processing تمام؟
+
+639
+00:52:39,400 --> 00:52:43,880
+لأ انت هتستخدم ال AI يعني هتستخدم ال machine
+
+640
+00:52:43,880 --> 00:52:48,520
+learning بس هتفهم ال model كيف بيشتغلتمام؟ انت مش
+
+641
+00:52:48,520 --> 00:52:53,500
+مجرد .. انت مش طالب طب ولا طالب جيغرافيا ان علمك
+
+642
+00:52:53,500 --> 00:52:57,140
+هى ال algorithm هى ال input هى ال output و بتستخدم
+
+643
+00:52:57,140 --> 00:53:00,120
+ال output بتخدمه بالشكل هذا لأ ال algorithm نفسه
+
+644
+00:53:00,120 --> 00:53:03,100
+كيف يشتغل بالتحليل لإنك انت طالب computer science
+
+645
+00:53:03,100 --> 00:53:08,280
+أو تطوير برمجيات سنة تالتة ولا رابعة؟ واش دخل؟ حد
+
+646
+00:53:08,280 --> 00:53:14,740
+قالك تسجل المساق ال accuracyلحظة أنا ما زلت بتكلم
+
+647
+00:53:14,740 --> 00:53:17,940
+في ال basic components أو في ال basic concept تبع
+
+648
+00:53:17,940 --> 00:53:21,440
+ال classification ال accuracy لما بتكلم على ال
+
+649
+00:53:21,440 --> 00:53:27,480
+accuracy بتكلم على دقة النظام بتكلم على قدرة
+
+650
+00:53:27,480 --> 00:53:32,700
+النظام على ال prediction الصحيح وبالتحديد ال
+
+651
+00:53:32,700 --> 00:53:38,900
+accuracy هي عبارة عن ratio بين ال prediction
+
+652
+00:53:38,900 --> 00:53:44,200
+الصحيحة على كل predictionsعدد ال prediction المرات
+
+653
+00:53:44,200 --> 00:53:49,800
+التنبؤ الصحيح على كل حالات التنبؤ اللي تمت عندى
+
+654
+00:53:49,800 --> 00:53:53,460
+كيف يعنى؟ أنا عندى ال test set كان فيها عشرة
+
+655
+00:53:53,460 --> 00:53:59,620
+instances لما قلت للموضل اعمل ال prediction لهدول
+
+656
+00:53:59,620 --> 00:54:06,720
+جاب سبعة منهم صح معناته ال Accuracy سبعة على عشرة
+
+657
+00:54:06,720 --> 00:54:11,590
+اللي هي 70% من النظام اللي موجود عندى هناكمان مرة
+
+658
+00:54:11,590 --> 00:54:16,510
+الـ Accuracy هي قدرة الـ Classifier على التنبؤ
+
+659
+00:54:16,510 --> 00:54:22,030
+بشكل صحيح للـ Unseen Data لو الـ Data Scene هدى و
+
+660
+00:54:22,030 --> 00:54:28,550
+هدى مابتنعدلوش الـ Speed لما أتكلم عن الـ Speed
+
+661
+00:54:28,550 --> 00:54:32,650
+بتتكلم على الـ Computational Cost اللي بده يكلفني
+
+662
+00:54:32,650 --> 00:54:39,570
+إياها الـ Algorithm في مرحلة الـ Generation إنشاء
+
+663
+00:54:39,570 --> 00:54:46,580
+الموديلتمام؟ ومرحلة استخدام ال classifier يعني أنا
+
+664
+00:54:46,580 --> 00:54:50,140
+عندي مرحلتين في عندي مش كله ال model construction
+
+665
+00:54:50,140 --> 00:54:57,620
+وعندي ال model usage الآن كل واحدة منهم في لها
+
+666
+00:54:57,620 --> 00:55:02,060
+تكلفة تكلفة لل training و تكلفة لل prediction جديش
+
+667
+00:55:02,060 --> 00:55:06,660
+computational جديش أنا مهتم بسرعة النظام يعني الآن
+
+668
+00:55:06,660 --> 00:55:12,010
+مثلابدنا نظام الآن .. محتاجين نظام سريع يحاول
+
+669
+00:55:12,010 --> 00:55:15,610
+يتنبأ ان المريض هذا اللي مش .. منضيق في الصدر أو
+
+670
+00:55:15,610 --> 00:55:19,530
+في صعوبة في التنفس مصاب بـ Corona ولا لأ؟ انت ..
+
+671
+00:55:19,530 --> 00:55:22,550
+انت .. انت خبير .. خبير الصين أصلا .. انت عشان ايه
+
+672
+00:55:22,550 --> 00:55:27,730
+قولت Corona مباشرة، تمام؟ الآن الفكرة وين؟ انه أنا
+
+673
+00:55:27,730 --> 00:55:31,710
+جداش بأقدر أعمل training ل model .. a curated
+
+674
+00:55:31,710 --> 00:55:37,450
+model بشكل سريع، بكوني كويس إليهليش؟ لأنه أنا
+
+675
+00:55:37,450 --> 00:55:42,050
+فعليا .. الآن أنا محتاجه يمكن بكرا محتاجوش فالآن
+
+676
+00:55:42,050 --> 00:55:46,410
+هذي بتفرج معايا ال performance في مرحلة ال
+
+677
+00:55:46,410 --> 00:55:52,490
+generation ال using في ال prediction أنه لما أزوده
+
+678
+00:55:52,490 --> 00:55:56,230
+بالعينة اللي المفروض يعمل عليها prediction أو يقيم
+
+679
+00:55:56,230 --> 00:56:01,150
+يعملها evaluation جداش بده وقت في بده ثانية،
+
+680
+00:56:01,150 --> 00:56:06,630
+تنتين، تلاتة، عشرة، كل مكان أسرعيكون أحسن في الـ
+
+681
+00:56:06,630 --> 00:56:10,670
+real-time system الآن في عندنا جسم بتحرك في الجو
+
+682
+00:56:10,670 --> 00:56:16,350
+بسرعة 100 كيلومتر في الساعة طيارة،
+
+683
+00:56:16,350 --> 00:56:23,350
+صاروخ، قذيفة، غراب، مش عارفين في الأنظمة الدفاعية
+
+684
+00:56:23,350 --> 00:56:26,710
+بتفرج الآن هذا الجسم اللي بتحرك في الـ real-time
+
+685
+00:56:26,710 --> 00:56:31,630
+system تمام؟ بناء على سرعته وحجمه
+
+686
+00:56:33,360 --> 00:56:36,620
+بدهم ياخدوا قرار اللي غالبا ما ببينش بدهم ياخدوا
+
+687
+00:56:36,620 --> 00:56:41,160
+قرار شو ده بيكون افعل صفرات الإنذار ولا لأ الإنذار
+
+688
+00:56:41,160 --> 00:56:51,780
+ولا لأ احنا
+
+689
+00:56:51,780 --> 00:56:57,200
+قولنا حمامة شكله زادة مع البس خلاص و هي طايرة
+
+690
+00:56:58,620 --> 00:57:02,060
+الفكرة يا جماعة الخير اللي انا بده اوصلك هي إذا
+
+691
+00:57:02,060 --> 00:57:06,940
+ماكنتش مرحلة ل prediction سريعة تفقدت الأهمية
+
+692
+00:57:06,940 --> 00:57:11,060
+تبعتها فضل يا دكتور قبل لما راحيت على المرض أكيد
+
+693
+00:57:11,060 --> 00:57:16,080
+فعلا مش هيكون مثلا بدنا نتنبأ أنه فيه مثلا .. لو
+
+694
+00:57:16,080 --> 00:57:19,800
+مثلا افتراض مثلا علشان هنا يعني محتمال يكون فيه
+
+695
+00:57:19,800 --> 00:57:23,100
+نسبة خطأ فاحنا على وجه السرعة مش هيكون بدنا نتنبأ
+
+696
+00:57:23,100 --> 00:57:28,190
+بدنا يعني ..طب انت عملك بتقول انا المرض هذا فعليا
+
+697
+00:57:28,190 --> 00:57:34,070
+مش جادر اشخصه او في عندهم صعوبة في تشخيصه فقط
+
+698
+00:57:34,070 --> 00:57:37,930
+طب المفلوز العادي او اللي عنده احتقان في زوره
+
+699
+00:57:37,930 --> 00:57:41,890
+ابترت فيه درجة حرارته واحد زي حالتي بيكون قاعد
+
+700
+00:57:41,890 --> 00:57:44,950
+بيشرح و بيطلع واحد غد بيقوله بسة طايرة ابترت فيه
+
+701
+00:57:44,950 --> 00:57:45,450
+حرارته
+
+702
+00:57:49,260 --> 00:57:53,380
+تمام؟ بالفكرة يا هاب لأ okay أنا بدي .. بدي system
+
+703
+00:57:53,380 --> 00:57:57,500
+يكون سريع عفوا بدي أصل ل model بشكل سريع بعض ال
+
+704
+00:57:57,500 --> 00:58:02,240
+models بتاخد أيام و أشهر هى بتعمل ال training صح
+
+705
+00:58:02,240 --> 00:58:06,460
+بيكون هذا دقيق الشغل صحيح لكن أنا برضه حسب الحالة
+
+706
+00:58:06,460 --> 00:58:11,480
+اللى أنا بدي أشتغل عليها نعم لأ
+
+707
+00:58:11,480 --> 00:58:16,460
+للأسف data preparation هل تحسب ضمن ال time cost لأ
+
+708
+00:58:17,850 --> 00:58:21,290
+لأن هنا بنتكلم احنا على الـ computational cost كل
+
+709
+00:58:21,290 --> 00:58:27,670
+اللي انت سويته قبل مجرد تجهيز لعملية ال mining
+
+710
+00:58:27,670 --> 00:58:33,330
+أكيد كل ما زاد حجم ال data زاد حجم ال computation
+
+711
+00:58:33,330 --> 00:58:37,790
+بال training وال testing الآن ال data set تبعتي
+
+712
+00:58:37,790 --> 00:58:42,870
+مكونة من عشرة attributes هل ال computation تبعتها
+
+713
+00:58:42,870 --> 00:58:49,260
+زي ما يكون عندي 100 attributesحتما لأ يعني عشر
+
+714
+00:58:49,260 --> 00:58:54,620
+متغيرات زي مين متغير اكيد لأ جداش ال robustness او
+
+715
+00:58:54,620 --> 00:58:58,200
+الموثوقية جداش ال system هذا بتديني accurate
+
+716
+00:58:58,200 --> 00:59:03,680
+result في حالة ال noise data ال noise instance او
+
+717
+00:59:03,680 --> 00:59:06,960
+في حالة وجود ال missing values الان احنا قبل شوية
+
+718
+00:59:06,960 --> 00:59:10,740
+اتكلمت على تلت عناصر عشان ال heart disease ال body
+
+719
+00:59:10,740 --> 00:59:16,000
+mass index وال chest pain وتصلب الشراينالآن لو
+
+720
+00:59:16,000 --> 00:59:18,880
+عندي تنتين منهم فقط بيقدر الـ system يديني
+
+721
+00:59:18,880 --> 00:59:23,360
+prediction؟ لأ، ما تقوليش لأ، انت ما تشكشكش لأ ال
+
+722
+00:59:23,360 --> 00:59:26,380
+system هيديكي prediction هيديكي prediction بس اللي
+
+723
+00:59:26,380 --> 00:59:29,900
+أنا بدور عليه هل بيقدر يديني prediction صحيح؟ إذا
+
+724
+00:59:29,900 --> 00:59:33,360
+بيديني prediction صحيح معناته هذا more robust أكتر
+
+725
+00:59:33,360 --> 00:59:38,300
+موثوقية ليش؟ لأن في حالة إن أنا فقدت واحد من ال
+
+726
+00:59:38,300 --> 00:59:41,440
+attributes اللي موجودة بضل جادر أعتمد عليه عشان
+
+727
+00:59:41,440 --> 00:59:46,050
+يعمل prediction تمام؟الآن في حالة كان في عندي
+
+728
+00:59:46,050 --> 00:59:49,710
+noise data نفس النظام بالمناسبة يا حسن احنا عادة
+
+729
+00:59:49,710 --> 00:59:53,490
+اللي بنتكلم فعليا هذا المثال اللي بدكره تلاتة عشان
+
+730
+00:59:53,490 --> 00:59:57,870
+بس نستوعب الاشي اللي بيصير و نفهم فعليا كل ال
+
+731
+00:59:57,870 --> 01:00:02,730
+concept بشكل واضح لكن فعليا لو أنا سألتك أبسط
+
+732
+01:00:02,730 --> 01:00:05,710
+اختبار ممكن يجري الإنسان اللي له علاقة بصحته ال
+
+733
+01:00:05,710 --> 01:00:13,270
+CBC كام factor فيه؟ 15 أنصر أعتقد أو 14يعني بتكلم
+
+734
+01:00:13,270 --> 01:00:16,450
+على الأقل 14 attributes اللي هو ال test ال
+
+735
+01:00:16,450 --> 01:00:21,870
+complete blood test تمام؟ فبتكلم على 14 attributes
+
+736
+01:00:21,870 --> 01:00:25,730
+لكل عينة الآن لو في واحدة عينة فيها مشكلة في ال
+
+737
+01:00:25,730 --> 01:00:30,750
+noise أو value معينة لأ لأ مش ضروري فالآن لو جديش
+
+738
+01:00:30,750 --> 01:00:34,630
+الآن الطبيب الحاذق ممكن بيقدر يقارن شغلات مع بعضها
+
+739
+01:00:34,630 --> 01:00:38,210
+ويقولك لأ في مشكلة يعني واضح الجهاز ان في مشكلةهذه
+
+740
+01:00:38,210 --> 01:00:42,450
+الفكرة وين إن الـ system لو غاب في عندي value أو
+
+741
+01:00:42,450 --> 01:00:46,170
+تشوشت value من الأربع عشر يكون عنده القدرة على
+
+742
+01:00:46,170 --> 01:00:50,410
+التنبؤ الصحيح أي واحدة من الأربع عشر ده مابتعنناش
+
+743
+01:00:50,410 --> 01:00:54,870
+بس في اللحظة اللي بيجيني ال attribute عفوا بيجيني
+
+744
+01:00:54,870 --> 01:00:58,610
+ال rows ال raw with missing value أو with noisy
+
+745
+01:00:58,610 --> 01:01:02,350
+data الأصل يعمل prediction هيعمل prediction في كل
+
+746
+01:01:02,350 --> 01:01:07,320
+الأحوال كل مكان بديني accurateالـ prediction في
+
+747
+01:01:07,320 --> 01:01:11,300
+الـ such case هذه معناته هذا مرة بسط بقدر أثق فيه
+
+748
+01:01:11,300 --> 01:01:18,880
+أكتر تمام ال scalability ال scalability طبعا دائما
+
+749
+01:01:18,880 --> 01:01:23,740
+احنا مفهوم ال scalability بنتكلم على ال large
+
+750
+01:01:23,740 --> 01:01:29,560
+amount of data فعليا هل ال algorithm هذا تبع ممكن
+
+751
+01:01:29,560 --> 01:01:35,000
+من السهل ان يتعامل معاه مع large dataالـ data set
+
+752
+01:01:35,000 --> 01:01:37,760
+اللي عندى مليون instances هل ال algorithm قادر على
+
+753
+01:01:37,760 --> 01:01:40,960
+تحليل مليون instances مع عشر .. مع عشر attributes
+
+754
+01:01:40,960 --> 01:01:44,100
+أو مع مائة attributes فهذا أنا بدي أسأله كل ما كان
+
+755
+01:01:44,100 --> 01:01:48,780
+ال algorithm اللي هستخدمه more scalable معناته
+
+756
+01:01:48,780 --> 01:01:54,420
+بكون أفضل interpretability تفسير و ال
+
+757
+01:01:54,420 --> 01:02:01,500
+understanding و فهم محتوى او ما وراهالـ Model أو
+
+758
+01:02:01,500 --> 01:02:04,840
+الـ Algorithm اللي عندي The level of understanding
+
+759
+01:02:04,840 --> 01:02:10,000
+and insight والمفهوم أو التوضيح أو المعنى الخفي من
+
+760
+01:02:10,000 --> 01:02:14,200
+Provided by the classifier احنا قبل شوية لما شوفنا
+
+761
+01:02:14,200 --> 01:02:18,000
+ال if then كان بسهولة ان افهم عليهش بدور ايش ال
+
+762
+01:02:18,000 --> 01:02:21,720
+factors الأساسية اللي كانت مصبوط؟ لو هذا ال if
+
+763
+01:02:21,720 --> 01:02:25,040
+then ماكنتش موجودة بقدر استوعب ليش هو جداني yes و
+
+764
+01:02:25,040 --> 01:02:29,140
+جداني no؟أكيد لأ لكن لما بكون ال algorithm قدامي
+
+765
+01:02:29,140 --> 01:02:34,820
+قادر أو بقدر او قادر على تفسيره بكون افضل لكن
+
+766
+01:02:34,820 --> 01:02:39,980
+الصحيح الموضوع برضه تفسيره هذي subjective للإنسان
+
+767
+01:02:39,980 --> 01:02:42,780
+او للشخص اللي بشتغل عليه لما أنا كتبنا كتبنا
+
+768
+01:02:42,780 --> 01:02:50,140
+المعادلة الرياضية Y تساوي M1 في A1 زائد M2 في A2
+
+769
+01:02:50,140 --> 01:02:51,440
+زائد B
+
+770
+01:02:55,220 --> 01:02:59,920
+إيش رتبة .. إيش درجة المعادلة هي شباب؟ إيش رتبة
+
+771
+01:02:59,920 --> 01:03:07,980
+المعادلة هي شباب؟ معادلة خطية لأنه الدرجة تقاسب
+
+772
+01:03:07,980 --> 01:03:12,840
+أعلى أُس الدرجة أو رتبة المعادلة تقاسب أعلى أُس
+
+773
+01:03:12,840 --> 01:03:18,000
+فالمعادلة هي خطية بس فعليا هذه multiple variable
+
+774
+01:03:18,000 --> 01:03:25,480
+متغيرات اتنين مع ال Y يعني بين قسين الـ3D3D
+
+775
+01:03:25,480 --> 01:03:30,840
+equation، مصبوط؟ هي .. هي الفكرة، الآن مش كل الناس
+
+776
+01:03:30,840 --> 01:03:35,740
+قادرة على تفسير .. هد يعرضها على واحد خبير رياضيات
+
+777
+01:03:35,740 --> 01:03:38,580
+مباشرة، بيقولك هد بتعني كده و واحد كده، بيجي و
+
+778
+01:03:38,580 --> 01:03:43,860
+بيقولك إن هذا plane مائل، plane، مسطح مائل، الميل
+
+779
+01:03:43,860 --> 01:03:51,450
+تبعه باتجاه X ومثلاًX و Y كذا X و Z كذا هي الأبعاد
+
+780
+01:03:51,450 --> 01:03:56,990
+تبعته و هذه ارتفاعه أو التقاطع تبعته مع ال Y axis
+
+781
+01:03:56,990 --> 01:04:02,270
+لكن أنا مش بعرفني بالكلام هذا فالموضوع ال
+
+782
+01:04:02,270 --> 01:04:07,130
+interpretability أو موضوع تفسير ال algorithm و
+
+783
+01:04:07,130 --> 01:04:12,550
+فهمه بيختلف من شخص لشخص من
+
+784
+01:04:12,550 --> 01:04:17,410
+ال algorithms اللي هنتعرف عليهاKey nearest
+
+785
+01:04:17,410 --> 01:04:21,490
+neighbor algorithm وهذا البرنامج يعتمد على
+
+786
+01:04:21,490 --> 01:04:22,550
+البرنامج الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة
+
+787
+01:04:22,550 --> 01:04:30,530
+الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة
+
+788
+01:04:30,530 --> 01:04:35,310
+الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة
+
+789
+01:04:35,310 --> 01:04:35,330
+الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة
+
+790
+01:04:35,330 --> 01:04:41,850
+الوثيقة الوثيقة الوثيقة الوثيقة الوثيقة
+
+791
+01:04:41,850 --> 01:04:47,070
+الووفي عند ال rule based induction وفي عند ال
+
+792
+01:04:47,070 --> 01:04:49,430
+support vector machine وفي عند ال logistic
+
+793
+01:04:49,430 --> 01:04:53,610
+regression كل هذه ال algorithm تستخدم في ال
+
+794
+01:04:53,610 --> 01:04:55,990
+classification وفي عند ال back up و ال propagate
+
+795
+01:04:55,990 --> 01:04:59,310
+neural network في الفصل هذا في الشابتر هذا ان شاء
+
+796
+01:04:59,310 --> 01:05:02,350
+الله تعالى هشرحلك ال k-nearest neighbor و ال naive
+
+797
+01:05:02,350 --> 01:05:05,170
+bison و ال decision tree و ال back up و ال
+
+798
+01:05:05,170 --> 01:05:09,650
+propagate neural network ك classifiers خلال الفصل
+
+799
+01:05:09,650 --> 01:05:14,360
+هذاأنا محاضرة اليوم هي كاد انتهيت
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM.srt
new file mode 100644
index 0000000000000000000000000000000000000000..ae35013fee4c44a720a6dd956ee1d0fe6f559fd4
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM.srt
@@ -0,0 +1,1371 @@
+1
+00:00:00,000 --> 00:00:02,260
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:02,260 --> 00:00:06,120
+أهلا وسهلا بكم في تكملة الـ Protective chapter
+
+3
+00:00:06,120 --> 00:00:09,040
+Modelling أو الـ Frequent Pattern كنا تكلمنا سابقا
+
+4
+00:00:09,040 --> 00:00:12,880
+على مفهوم الـ Frequent Pattern للتسجيلات السابقة على مفهوم
+
+5
+00:00:12,880 --> 00:00:15,440
+الـ Frequent Pattern وشو هو ال association rule
+
+6
+00:00:15,440 --> 00:00:17,440
+وتكلمنا على الـ support و الـ confidence as
+
+7
+00:00:17,440 --> 00:00:17,860
+measurement
+
+8
+00:00:20,590 --> 00:00:24,210
+تحديد قوة الـ association rule  و الـ frequent pattern
+
+9
+00:00:24,210 --> 00:00:27,710
+واتكلمنا على الـ Apriori algorithm كواحد من أهم الـ
+
+10
+00:00:27,710 --> 00:00:32,830
+algorithms في وجود الـ ... أو في الوصول إلى الـ
+
+11
+00:00:32,830 --> 00:00:37,490
+association rules و لكن قلنا أن في عندنا مجموعة من
+
+12
+00:00:37,490 --> 00:00:42,280
+الـ drawbacks على مستوى الـ Algorithm التي
+
+13
+00:00:42,280 --> 00:00:45,140
+عندنا منها أنه أنا فعلياً في عندي multiple scans
+
+14
+00:00:45,140 --> 00:00:47,200
+طبعاً من الـ drawbacks هذه التي علاقتها كلها بالـ
+
+15
+00:00:47,200 --> 00:00:51,160
+computation  أنه بتزيد من التكلفة الزمنية أو
+
+16
+00:00:51,160 --> 00:00:55,680
+الحسابية للـ algorithm  الموجود عندنا، الـ multiple
+
+17
+00:00:55,680 --> 00:00:59,680
+scans أو عدد الـ number of candidates  وببدأ من
+
+18
+00:00:59,680 --> 00:01:03,600
+candidate واحد وببدأ أجمعهم وبالتالي كان العدد
+
+19
+00:01:03,600 --> 00:01:07,680
+كبيراً، العمل ممل وتكراره في موضوع حساب الـ
+
+20
+00:01:07,680 --> 00:01:17,030
+support الموجود عندنا، ممكن نقلل
+
+21
+00:01:17,030 --> 00:01:22,330
+عدد مرات القراءة للـ database أو نقلل عدد الـ
+
+22
+00:01:22,330 --> 00:01:24,230
+candidates الموجودين عندنا
+
+23
+00:01:27,160 --> 00:01:32,420
+بنتكلم عن طريقة كيف نسرّع فيها أو نحسّن فيها موضوع
+
+24
+00:01:32,420 --> 00:01:36,760
+حساب الـ candidates  نحسب الـ support للـ candidates
+
+25
+00:01:36,760 --> 00:01:40,120
+الموجودة عندنا وبشكل عام ممكن نعتمد على الـ parallel
+
+26
+00:01:40,120 --> 00:01:48,700
+computing من أجل تسريع هذه العملية بشكل عام، الآن
+
+27
+00:01:48,700 --> 00:01:53,340
+إن شاء الله تعالى سنتكلم عن  أحد الحلول
+
+28
+00:01:53,340 --> 00:01:56,160
+المتاحة عندي، أنه أنا أحاول أوجد الـ
+
+29
+00:01:56,160 --> 00:01:59,640
+frequent patterns بدون ما يكون في عندي candidate
+
+30
+00:01:59,640 --> 00:02:03,540
+generation، طبعاً نحن الآن من باب التأكيد أن الـ
+
+31
+00:02:03,540 --> 00:02:07,280
+bottleneck أو الحلق الذي ...  لنقل نقطة الازدحام
+
+32
+00:02:07,280 --> 00:02:10,580
+أو الحلق الأضعف في الـ Apriori approach هو الـ
+
+33
+00:02:10,580 --> 00:02:14,500
+breadth-first search، breadth-first search  لأن
+
+34
+00:02:14,500 --> 00:02:16,660
+معنى الكلام هي مصطلحات مألوفة موجودة في الـ data
+
+35
+00:02:16,660 --> 00:02:20,520
+structure، إذا كنا نتذكرها، ومقصود فيها أنه أنا
+
+36
+00:02:20,520 --> 00:02:24,220
+البحث يتم على مستوى الـ level-wise، ماذا يعني الـ level-
+
+37
+00:02:24,220 --> 00:02:30,340
+wise؟ المبدأ هذا جاء من أن في عندي موضوع Tree بغض
+
+38
+00:02:30,340 --> 00:02:35,120
+النظر عن الـ Structure  التابعة للـ Tree ثنائية أو رباعية
+
+39
+00:02:35,120 --> 00:02:39,480
+أو غيرها، فمفهوم الـ breadth-first أنه أنا آخذ level
+
+40
+00:02:39,480 --> 00:02:42,820
+level وأنتقل إلى كل عناصر الـ level،  بعدين أذهب إلى
+
+41
+00:02:42,820 --> 00:02:46,060
+الـ level الثاني وأمشي فيه، طبعاً هذه الـ approach
+
+42
+00:02:46,060 --> 00:02:49,060
+لأنها فعلياً كانت تبني كل الـ candidates  من C1
+
+43
+00:02:49,980 --> 00:02:53,420
+وبعد ذلك ننتقل إلى Candidate C2 من الـ two elements
+
+44
+00:02:53,420 --> 00:02:58,480
+و Candidate C3 وهكذا، وهذا طبعاً ما يستهلك وقتاً
+
+45
+00:02:58,480 --> 00:03:03,980
+طويلاً جداً، بينما الـ ... الـ ... الـ FP-
+
+46
+00:03:03,980 --> 00:03:08,340
+growth أو الـ Frequent Pattern Growth approach  التي
+
+47
+00:03:08,340 --> 00:03:11,260
+أنا أبدأ العمل بدون البحث عن الـ candidates، أبدأ العمل
+
+48
+00:03:11,260 --> 00:03:17,440
+على مبدأ الـ depth-first search، أنه دائماً أنزل أعمق
+
+49
+00:03:17,440 --> 00:03:23,200
+نقطة في الـ tree، تمام؟ وبعدها أبحث عن النقطة الأعمق
+
+50
+00:03:23,200 --> 00:03:29,820
+والمساوية لها وهكذا حتى أصل إلى قاعدته، وبالتالي هنا
+
+51
+00:03:29,820 --> 00:03:35,660
+يصبح في عندي  إلغاء  للموضوع
+
+52
+00:03:35,660 --> 00:03:38,660
+الـ candidate generation، يعني يصبح في عندي بشكل
+
+53
+00:03:38,660 --> 00:03:40,640
+تلقائي تجنّب
+
+54
+00:03:50,810 --> 00:03:55,110
+الأساسي، المصطلح أو الفلسفة الأساسية التي بُني عليها
+
+55
+00:03:55,110 --> 00:03:59,430
+الـ FP-Growth  أن الـ long patterns
+
+56
+00:03:59,430 --> 00:04:05,200
+ممكن أن تُبنى من الـ short patterns التي كانت frequent
+
+57
+00:04:05,200 --> 00:04:10,500
+items only، وعشان كل هذا الكلام، يعني بكل بساطة أقول لك
+
+58
+00:04:10,500 --> 00:04:14,120
+أنا لو كان في عندي مجموعة من الـ short frequent
+
+59
+00:04:14,120 --> 00:04:17,200
+patterns، هذه المجموعة من الـ short patterns  ممكن أن تكون
+
+60
+00:04:17,200 --> 00:04:20,780
+جزءاً من  patterns أطول،  على سبيل المثال لو كان
+
+61
+00:04:20,780 --> 00:04:24,600
+في عندي الـ ABC  frequent pattern في الـ data set
+
+62
+00:04:24,600 --> 00:04:30,420
+الذي عندي، معناه أنك ممكن أن تذهب وتجلب كل الـ patterns أو
+
+63
+00:04:30,420 --> 00:04:35,720
+الـ transactions التي تحتوي على الـ ABC مثلاً، لو كان
+
+64
+00:04:35,720 --> 00:04:39,800
+frequent، يعني أن كل الـ patterns التي تحتوي على الـ
+
+65
+00:04:39,800 --> 00:04:44,000
+ABC  سنقول أن لو كان في عندي أيضاً frequent
+
+66
+00:04:44,000 --> 00:04:46,680
+أيضاً  frequent pattern آخر، D وليكن على
+
+67
+00:04:46,680 --> 00:04:51,800
+سبي المثال، يعني لو أضفت الـ D إلى كل frequent
+
+68
+00:04:51,800 --> 00:04:56,940
+patterns الموجودة عندي هنا، إلى الموجودة من
+
+69
+00:04:56,940 --> 00:05:03,250
+الـ database، سيكون عندي الـ A, B, C, D عبارة عن
+
+70
+00:05:03,250 --> 00:05:07,510
+frequent pattern، يعني أنا عندي A, B, C عبارة عن
+
+71
+00:05:07,510 --> 00:05:10,430
+frequent pattern وعندي الـ D أيضاً frequent pattern
+
+72
+00:05:10,430 --> 00:05:15,730
+فحتما سيكون عندي A, B, C, D frequent pattern حتى لو
+
+73
+00:05:15,730 --> 00:05:18,770
+انخفض الـ support  التابع له،  لكن لن ينزل عن الـ minimum support
+
+74
+00:05:18,770 --> 00:05:24,830
+لماذا؟ لأنه بما أن الـ support  لهذا أكبر من أو يساوي الـ
+
+75
+00:05:24,830 --> 00:05:32,140
+minimum support،  و أن الـ support  التابع له أقل من أو
+
+76
+00:05:32,140 --> 00:05:36,280
+يساوي الـ minimum support، فحتماً هذا المجموع سيكون
+
+77
+00:05:36,280 --> 00:05:39,220
+أكبر من أو يساوي الـ minimum support، لن يقل عنه بأي
+
+78
+00:05:39,220 --> 00:05:44,630
+حالة من الأحوال، لأن الاثنين frequent، الفكرة مرة أخرى
+
+79
+00:05:44,630 --> 00:05:49,570
+أن أنا أحاول أن أعمل  نمو تكراريا  لـ
+
+80
+00:05:49,570 --> 00:05:53,130
+frequent patterns، أنشئ الـ pattern بشكل تكراريا
+
+81
+00:05:53,130 --> 00:05:56,510
+بشكل تلقائي، يعني كل pattern يحاول أن يضيف
+
+82
+00:05:56,510 --> 00:06:03,210
+patterns  الموجودة عنده، pattern by pattern
+
+83
+00:06:03,210 --> 00:06:07,330
+frequent pattern by pattern،  و الـ Database
+
+84
+00:06:07,330 --> 00:06:10,230
+Partitioning، وبالتالي أنا أقسم الـ database وممكن
+
+85
+00:06:10,230 --> 00:06:13,650
+أن أشتغل عليها بالتوازي،  يقال أن الـ FP-Growth كـ
+
+86
+00:06:13,650 --> 00:06:17,210
+algorithm أو كـ method  ستكون أفضل نتيجة أو أسرع من
+
+87
+00:06:17,210 --> 00:06:23,670
+الـ Apriori للوصول إلى الـ frequent patterns الموجودة
+
+88
+00:06:23,670 --> 00:06:28,970
+لأنها for each frequent item، لكل frequent item set
+
+89
+00:06:28,970 --> 00:06:33,530
+construct its conditional pattern، أنشئ
+
+90
+00:06:33,530 --> 00:06:37,580
+conditional pattern التابع لها بناءً على ما أنتجته، Then
+
+91
+00:06:37,580 --> 00:06:41,180
+it's conditional FP-tree، واذهب أنشئ الـ tree التي
+
+92
+00:06:41,180 --> 00:06:45,620
+بعد ذلك خاصة بها، سنرى الـ FP-tree ونفهم ماذا
+
+93
+00:06:45,620 --> 00:06:48,300
+هو الـ conditional pattern الذي تم إنشاؤه عليه، الـ
+
+94
+00:06:48,300 --> 00:06:50,740
+conditional pattern، كيف تم الوصول إليه؟ وما
+
+95
+00:06:50,740 --> 00:06:55,160
+هي الشروط التي جعلته frequent؟ repeat the
+
+96
+00:06:55,160 --> 00:06:59,980
+process on each newly created conditional pattern
+
+97
+00:06:59,980 --> 00:07:05,560
+FP-tree until resulting FP-tree is empty،  لا يكون
+
+98
+00:07:05,560 --> 00:07:09,600
+فيه شيء، وكرر العملية حتى لا يبقى شيء في الـ FP-tree
+
+99
+00:07:09,600 --> 00:07:16,660
+and or it contains only one path, single path، طبعاً
+
+100
+00:07:16,660 --> 00:07:19,740
+وهذا يكون generation all combinations، وهكذا أنا
+
+101
+00:07:19,740 --> 00:07:25,150
+أكون قد جمعت كل الـ sub paths الموجودة،  يعني الخطوات
+
+102
+00:07:25,150 --> 00:07:28,290
+الخاصة بالخوارزمية، أنا أذهب وأعمل database scan
+
+103
+00:07:28,290 --> 00:07:33,410
+once، وهي أول عملية قراءة للـ database، مثل الـ Apriori
+
+104
+00:07:33,410 --> 00:07:37,390
+وأخذت وجلبت الـ first frequent pattern، تمام، نحن
+
+105
+00:07:37,390 --> 00:07:42,350
+يقال depth-first،  صحيح breadth-first،  depth-first، عفواً، وهكذا أنا ذهبت
+
+106
+00:07:42,350 --> 00:07:45,810
+إلى الـ pattern الأول،  ليست قضية كبيرة، sort  الـ frequent
+
+107
+00:07:45,810 --> 00:07:49,940
+patterns، وهنا شيء جديد، أن نرتب الـ frequent
+
+108
+00:07:49,940 --> 00:07:53,400
+patterns بناءً على الـ support، بترتيب تنازلي
+
+109
+00:07:53,400 --> 00:07:56,820
+Descending Support Counting, Making a Less than
+
+110
+00:07:56,820 --> 00:08:00,160
+Minimal،  أعمل scan أيضاً للـ tree وأعمل
+
+111
+00:08:00,160 --> 00:08:05,000
+Construction للـ FP-tree  الموجودة، التي سنراها
+
+112
+00:08:05,000 --> 00:08:11,800
+Mining the FP-tree By Creating Conditional أو Sub
+
+113
+00:08:11,800 --> 00:08:16,460
+patterns الموجودة، تعالوا لنرى ماذا يمكننا أن
+
+114
+00:08:16,460 --> 00:08:20,360
+نقول، يمكننا أن نعود إلى الـ benefits أو ننهيها الآن
+
+115
+00:08:20,360 --> 00:08:24,560
+completeness، متكاملة، preserve complete information
+
+116
+00:08:24,560 --> 00:08:28,080
+يحتوي على معلومات كاملة عن الـ frequent patterns التي
+
+117
+00:08:28,080 --> 00:08:30,900
+أنا قمت باستخراجها، يعني دائماً هو يحتفظ بالـ
+
+118
+00:08:30,900 --> 00:08:33,440
+support  التابع لها، هذه المعلومة التي تهمّني، الـ
+
+119
+00:08:33,440 --> 00:08:37,120
+frequent pattern كم مرة ظهرت، never break long
+
+120
+00:08:37,120 --> 00:08:41,240
+patterns of any transaction،  ممكن ألا تنتمي إلى transaction
+
+121
+00:08:41,240 --> 00:08:44,480
+مطلقاً، وهذا هو المشكلة، نحن لم نحسّنها مع الـ Apriori
+
+122
+00:08:44,480 --> 00:08:48,080
+لكن يُقال أنه عندما تكون عند الـ
+
+123
+00:08:48,080 --> 00:08:52,080
+data set  التعاملات كبيرة، والعناصر الموجودة فيها
+
+124
+00:08:52,080 --> 00:08:55,480
+كثيرة،  ممكن أن يحدث فيها  تكرار  أو ضغط أو
+
+125
+00:08:55,480 --> 00:09:03,020
+انخفاض في المعلومات، المعلومات، المعلومات، المعلومات،
+
+126
+00:09:03,020 --> 00:09:03,680
+المعلومات، المعلومات، المعلومات، المعلومات، المعلومات،
+
+127
+00:09:03,680 --> 00:09:05,080
+المعلومات، المعلومات، المعلومات، المعلومات، المعلومات،
+
+128
+00:09:05,080 --> 00:09:05,180
+المعلومات، المعلومات، المعلومات، المعلومات، المعلومات،
+
+129
+00:09:05,180 --> 00:09:05,780
+المعلومات، المعلومات، المعلومات،
+
+130
+00:09:17,640 --> 00:09:24,900
+العناصر بترتيب تنازلي
+
+131
+00:09:24,900 --> 00:09:30,580
+الكثير، يمكن أن يحدث الكثير، يمكن أن يتم شرح ما هو
+
+132
+00:09:30,580 --> 00:09:33,100
+موجود في أعلى القائمة هو غالباً هو الأكثر تكراراً
+
+133
+00:09:33,100 --> 00:09:36,120
+الموجود، Never be larger than the original
+
+134
+00:09:36,120 --> 00:09:38,820
+database، مستحيل أن يطلع عندي حجم أكبر من الموجود
+
+135
+00:09:38,820 --> 00:09:44,060
+عندنا، Not count node links and count field، أنا
+
+136
+00:09:44,060 --> 00:09:50,240
+لا أعدّ الروابط، فقط عدد مرات الظهور في المجموعة، كما
+
+137
+00:09:50,240 --> 00:09:55,470
+العادة،  بالمثال يتضح الكلام،  فلنرى الآن بالمثال
+
+138
+00:09:55,470 --> 00:09:58,070
+الموجود عندنا هنا، سأقول افترض أن في
+
+139
+00:09:58,070 --> 00:10:01,090
+عندي هذه الـ data، الـ transactional data set التي
+
+140
+00:10:01,090 --> 00:10:06,710
+تحتوي على خمسة عناصر، I1, I2, I3, I4, I5، وفي عندي
+
+141
+00:10:06,710 --> 00:10:12,690
+تسعة، عفواً، ليست...
+
+142
+00:10:12,690 --> 00:10:20,880
+I discard I transaction رقم تسعة، للأمانة،  الخطأ
+
+143
+00:10:20,880 --> 00:10:24,360
+يحدث، وهذا طبعاً كررته هنا لأن copy و paste
+
+144
+00:10:24,360 --> 00:10:29,540
+اشتغلت هنا في المثال عندما عدلته، وعندما حدث ذلك أيضاً
+
+145
+00:10:29,540 --> 00:10:38,620
+إن شاء الله هكذا تمام، الآن، افترض أن الـ minimum
+
+146
+00:10:38,620 --> 00:10:41,620
+support  التابعة لي هي عبارة عن اثنين، الـ minimum support
+
+147
+00:10:41,620 --> 00:10:47,500
+المطلوبة هي عبارة عن اثنين من تسعة، يعني 22% تقريباً، الـ
+
+148
+00:10:47,500 --> 00:10:52,340
+step  الأولى، أقرأ الـ database مع الـ first أو one
+
+149
+00:10:52,340 --> 00:10:56,380
+item set، كل المجموعات التي هي عنصر واحد، وأحسب الـ
+
+150
+00:10:56,380 --> 00:11:00,000
+support  التابعة لها، بعد ذلك، الخطوة الثانية، أرتبها
+
+151
+00:11:00,000 --> 00:11:05,880
+الآن، بكل بساطة، لو أنا جئت وقلت لك: ها هو I1، الـ
+
+152
+00:11:05,880 --> 00:11:14,540
+support  له هي 1، 2، 3، 4، 5، 6، من ضمن العناصر الموجودة، الـ
+
+153
+00:11:14,540 --> 00:11:20,220
+frequent  هي 6، موجود أكثر عنصر موجود عندي، more
+
+154
+00:11:20,220 --> 00:11:23,800
+frequent  هو I2، هو عدد مرات تكراره 7 مرات
+
+155
+00:11:27,740 --> 00:11:33,440
+الثلاثة والأربعة والخمسة مع بعض، الاثنين والواحد والستة جاءوا
+
+156
+00:11:33,440 --> 00:11:36,740
+نفس الـ frequent،  طيب، من أقدم فيهم، الذي يظهر معك
+
+157
+00:11:36,740 --> 00:11:40,540
+أولاً في الـ data set، لا تُلخّص نفسك دائماً، أو لا
+
+158
+00:11:40,540 --> 00:11:43,860
+تُلخّص نفسك دائماً، أنا آخذ أول عنصر يظهر في
+
+159
+00:11:43,860 --> 00:11:47,320
+frequent set أو في الـ item set هو الذي أقدّمه
+
+160
+00:11:47,320 --> 00:11:52,880
+في حالة تساوي عنصرين من ناحية عدد الـ support، الآن
+
+161
+00:11:52,880 --> 00:11:56,640
+بعد ذلك، أبدأ ببناء الـ FP-tree، وهي تتحدث عن خطوات
+
+162
+00:11:56,640 --> 00:12:03,820
+بنائها، أبدأ من null label، تمام، وبناءً عليه، أعمل الـ
+
+163
+00:12:03,820 --> 00:12:07,040
+second time، الـ second scan للـ database، المرة
+
+164
+00:12:07,040 --> 00:12:12,140
+الثانية، في كل transaction،  أتعامل are processed in
+
+165
+00:12:12,140 --> 00:12:15,900
+الـ L order، بناءً على الـ sort order الموجودة عندها
+
+166
+00:12:16,960 --> 00:12:22,320
+والجزء يُصنَع لكل transaction مع الأشياء التي تدعمها، تدعمها،
+
+167
+00:12:22,320 --> 00:12:23,820
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+168
+00:12:23,820 --> 00:12:25,400
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+169
+00:12:25,400 --> 00:12:28,480
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+170
+00:12:28,480 --> 00:12:29,060
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+171
+00:12:29,060 --> 00:12:29,420
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+172
+00:12:29,420 --> 00:12:32,820
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تدعمها،
+
+173
+00:12:32,820 --> 00:12:41,200
+تدعمها، تدعمها، تدعمها، تدعمها، تدعمها، تد
+
+174
+00:12:42,500 --> 00:12:46,200
+الـ data set الموجودة عندي، أقول له: رتبها لي،  سأرتبها،
+
+175
+00:12:46,200 --> 00:12:49,880
+رتبتها الآن، يا جماعة، هي الـ transactional
+
+176
+00:12:49,880 --> 00:12:54,560
+data set التابعة لي،
+
+223
+00:17:22,330 --> 00:17:25,810
+سبعة تمام دعوني أغير بالسلون
+
+224
+00:17:30,540 --> 00:17:37,780
+سبعة صحيحة الآن، واحد المفروض ستة، واحد هي عندي
+
+225
+00:17:37,780 --> 00:17:42,860
+هنا أربعة وعندي هنا اثنين، فالكلام صحيح مئة بالمئة
+
+226
+00:17:42,860 --> 00:17:47,860
+مجموعهم ستة الآن، ثلاثة، ستة كذلك، ثلاثة عندي
+
+227
+00:17:47,860 --> 00:17:57,800
+موجود، ثلاثة ست مرات، أين، ثلاثة، هذه
+
+228
+00:17:57,800 --> 00:18:10,100
+مرتين هنا، هي مرتين هنا هي
+
+229
+00:18:10,100 --> 00:18:14,320
+مرة هي، ثانية، اثنين، اثنين، اثنين، اثنين، اثنين
+
+230
+00:18:14,320 --> 00:18:15,840
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+231
+00:18:15,840 --> 00:18:15,920
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+232
+00:18:15,920 --> 00:18:16,160
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+233
+00:18:16,160 --> 00:18:17,620
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+234
+00:18:17,620 --> 00:18:18,540
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+235
+00:18:18,540 --> 00:18:19,600
+اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين
+
+236
+00:18:19,600 --> 00:18:28,940
+اثنين، اثنين
+
+237
+00:18:29,930 --> 00:18:38,930
+طيب، أي ثلاثة تمام، أي أربعة مرتين، هيهم، لا
+
+238
+00:18:38,930 --> 00:18:43,330
+هنا مرة واحدة، مش أربعة، هنا المفروض ما عدلناهاش مرة
+
+239
+00:18:43,330 --> 00:18:50,850
+واحدة، وهي مرة واحدة، مرتين، تمام، هذه الـ I5 مرتين
+
+240
+00:18:50,850 --> 00:18:55,570
+يعني الـ tree تبعتنا هكذا بتكون سليمة، والعنصر
+
+241
+00:18:55,570 --> 00:19:00,290
+تبعتها موجودة في هذه الـ tree فعليًا اللي إحنا عاملينه
+
+242
+00:19:00,290 --> 00:19:07,870
+كنا بنحاول نرسمها، I2، I4، I5، بيمشي مع العناصر، اعفوا
+
+243
+00:19:07,870 --> 00:19:19,280
+I1، I5 مع ال transaction، I2، I4 هيها، I2، I3 هيها، في
+
+244
+00:19:19,280 --> 00:19:22,540
+كل مرة بأمر على I2 أنا بزيد ال counter تبعها لحد ما
+
+245
+00:19:22,540 --> 00:19:26,100
+تتحقق العناصر، ودائمًا بقصها بالمقاطعة هذه، جمعت خير
+
+246
+00:19:26,100 --> 00:19:29,160
+بس عشان أورّجيكم، هم وين النقاط اللي أنا عم بجمعهم
+
+247
+00:19:29,160 --> 00:19:34,440
+يعني هي هنا وهنا، هذول مع بعض بيمثلوا الستة، طيب تمام
+
+248
+00:19:34,440 --> 00:19:39,540
+أنا هكذا أنا حصلت على ال tree اللي موجودة عندي الآن
+
+249
+00:19:39,540 --> 00:19:43,680
+بدي أروح أشوف أنشئ ال conditional pattern تبعتي، أو
+
+250
+00:19:43,680 --> 00:19:47,680
+ال conditional pattern نعملها من الـ tree اللي موجودة
+
+251
+00:19:47,680 --> 00:19:52,540
+عندها، فممكن أنا أبدأ أمرّ على أو أعمل traversing للـ
+
+252
+00:19:52,540 --> 00:19:57,880
+tree اللي موجودة عندها عشان أشوف ال occurrence تبع
+
+253
+00:19:57,880 --> 00:20:01,700
+ال pattern اللي عندها الآن، المشكلة تبعتي كيف أنا
+
+254
+00:20:01,700 --> 00:20:04,880
+بدي أحصل على ال frequent pattern من ال database
+
+255
+00:20:04,880 --> 00:20:11,580
+تمام، ال database is transferred للـ tree، وهذا
+
+256
+00:20:11,580 --> 00:20:18,220
+الآن بدي أجيب من ال tree اللي عندها عشان تقدر تنقب
+
+257
+00:20:18,220 --> 00:20:22,540
+أو تطلع أو تعمل extraction، military، وتبني أو تعتمد
+
+258
+00:20:22,540 --> 00:20:26,020
+على ال conditional pattern اللي موجود عندك هنا
+
+259
+00:20:26,020 --> 00:20:29,300
+أبدأ مع ال frequent pattern اللي من واحد، as
+
+260
+00:20:29,300 --> 00:20:33,120
+initial suffix، suffix، يعني من البداية بدك تشتغل
+
+261
+00:20:34,590 --> 00:20:39,090
+Construct Conditional Pattern Based Which Consists
+
+262
+00:20:39,090 --> 00:20:43,630
+Of The Prefix Paths
+
+263
+00:20:43,630 --> 00:20:46,670
+In Every Tree Co-occurring With The Suffix In The
+
+264
+00:20:46,670 --> 00:20:49,050
+Motion، أبدأ مع الـ Tree اللي بتبدأ بالـ Suffix
+
+265
+00:20:49,050 --> 00:20:53,910
+اللي موجود عندك، Construct Conditional Pattern Tree
+
+266
+00:20:53,910 --> 00:21:01,030
+And Perform Mining On Such Tree، اللي عندك هنا، هيبدأ
+
+267
+00:21:01,030 --> 00:21:06,230
+يزيد معايا، growth is achieved by concatenation the
+
+268
+00:21:06,230 --> 00:21:11,690
+suffix مع ال frequent pattern اللي ظهر عندي، وأعيد
+
+269
+00:21:11,690 --> 00:21:14,350
+ذلك كثيرًا في خطوة أربعة، لحد ما تخلص ال tree، تعال
+
+270
+00:21:14,350 --> 00:21:19,150
+نشوف عندي هنا إيش اللي بيصير هنا، أو خليني أحتفظ
+
+271
+00:21:19,150 --> 00:21:23,210
+بفقط ال tree، وأشوف ال header إيش هذا بده عشان
+
+272
+00:21:23,210 --> 00:21:25,930
+بعدين بنشوفه، خليني بس أوقف هنا
+
+273
+00:21:31,640 --> 00:21:35,040
+الآن، عشان أنا أنشئ ال tree، أو أنا أبدأ أنشئ الـ
+
+274
+00:21:35,040 --> 00:21:38,780
+conditional ال pattern base، وال tree تبعتي، بناءً
+
+275
+00:21:38,780 --> 00:21:41,580
+على ال tree اللي موجودة عندنا، اللي أنشأناها
+
+276
+00:21:41,580 --> 00:21:45,480
+سابقا، الآن يا جماعة الخير، كان بيقول لي في المثال
+
+277
+00:21:45,480 --> 00:21:50,120
+السابق، أن أول حاجة أبدأ مع ال frequent pattern
+
+278
+00:21:50,120 --> 00:21:56,200
+length واحد، تمام؟ as initial suffix pattern، طيب
+
+279
+00:21:56,200 --> 00:22:06,660
+الفكرة، هل أنا بدي آخذ أي
+
+280
+00:22:06,660 --> 00:22:10,460
+اثنين، أو أي واحد، أو أي اثنين، أو أي اثنين، أو أي
+
+281
+00:22:10,460 --> 00:22:12,640
+اثنين، أو أي اثنين، أو أي اثنين، أو أي اثنين، أو أي
+
+282
+00:22:12,640 --> 00:22:13,100
+اثنين، أو أي اثنين، أو اثنين، أو اثنين، أو اثنين، أو
+
+283
+00:22:13,100 --> 00:22:13,440
+اثنين، أو اثنين، أو اثنين، أو اثنين، أو اثنين، أو اثنين
+
+284
+00:22:13,440 --> 00:22:14,560
+أو اثنين، أو اثنين، أو اثنين، أو اثنين، أو اثنين، أو
+
+285
+00:22:14,560 --> 00:22:21,320
+اثنين، أو اثنين، أو اثنين، أو اثنين، Depth Search، مظبوط
+
+286
+00:22:21,320 --> 00:22:26,160
+جالك Depth Search، Tree الـ Traversing، وبالتالي هو
+
+287
+00:22:26,160 --> 00:22:28,540
+بدوش أشتغل Breadth، بدوش أشتغل Depth، معناته Depth
+
+288
+00:22:28,540 --> 00:22:31,640
+بدّي أروح لأعمق نقطة، من أعمق نقطة؟ هذه النقاط
+
+289
+00:22:31,640 --> 00:22:35,960
+تبعتي، وأشتغل عليها، من النقاط اللي موجودة عندي في
+
+290
+00:22:35,960 --> 00:22:44,090
+ال leaves، يا جماعة الخير، I5، I4، I3، مظبوط، طيب وبعد
+
+291
+00:22:44,090 --> 00:22:47,470
+هنا كنت بدي أطلع لحد ما هي في عندي node، وبالتالي
+
+292
+00:22:47,470 --> 00:22:52,510
+النقاط تبعتها، كل العناصر، معدمين مع بعضهم، هذول
+
+293
+00:22:52,510 --> 00:22:55,650
+اللي موجودة فوق خالص، اللي هم جايين من النل، لأن هذول
+
+294
+00:22:55,650 --> 00:23:07,650
+هم بيمثلوا عندي، بيمثلوا المفتاح الأساس في الشغل، تمام
+
+295
+00:23:09,130 --> 00:23:15,130
+الآن، بما أن أنا هأشتغل، هأشتغل كالتالي، من خلال ال tree
+
+296
+00:23:15,130 --> 00:23:21,710
+اللي موجودة عندي، وزي ما قلنا، حأبدأ من ال I خمسة
+
+297
+00:23:21,710 --> 00:23:25,870
+إيه ال I خمسة؟ لا أنا بأصل لها من خلال مين يا جماعة
+
+298
+00:23:25,870 --> 00:23:31,910
+الخير؟ ال I خمسة أنا بأصل لها من خلال I اثنين و I
+
+299
+00:23:31,910 --> 00:23:38,380
+أربعة، عفواً، I2 و I1، كم مرة مرّيت عليهم عشان أصل للـ
+
+300
+00:23:38,380 --> 00:23:41,900
+element هذا؟ خليني، برضه، إحنا قلنا المعلومات تبعتنا
+
+301
+00:23:41,900 --> 00:23:49,780
+بدها تكون دائمًا موجودة عندي، خليني بس أجيب ال data
+
+302
+00:23:49,780 --> 00:23:54,820
+set عشان تظلّ حاضرة عندنا، هي هذه
+
+303
+00:24:03,760 --> 00:24:20,280
+وبدي أجيبها هنا على الآخر، لماذا
+
+304
+00:24:20,280 --> 00:24:28,200
+لا أشوف ال animation، حقيقية animation
+
+305
+00:24:28,200 --> 00:24:32,980
+team group، لا أريد animation حقيقية
+
+306
+00:24:37,210 --> 00:24:42,550
+كل هاي ال elements اللي أنا بدي أشتغل عليهم، طيب الـ
+
+307
+00:24:42,550 --> 00:24:55,190
+I الآن
+
+308
+00:24:55,190 --> 00:24:58,190
+جمعت الخيار، فهذا الجدول، هيلزمني عشان أنا أقدر
+
+309
+00:24:58,190 --> 00:25:01,570
+أتذكر أنا فعليًا ال conditional pattern base، أنا
+
+310
+00:25:01,570 --> 00:25:06,330
+وصلت للـ I خمسة، خلال الـ I5، أنا وصلت لها من خلال
+
+311
+00:25:06,330 --> 00:25:16,990
+وصلت لها مرتين، مرة من خلال I2 و I1 لحالهم، هذه كانت
+
+312
+00:25:16,990 --> 00:25:32,710
+مرة مظبوط، ومرة كانت من خلال I1 و I3، I2، I1، I3، هذه
+
+313
+00:25:32,710 --> 00:25:37,400
+كمان مرة، معناته أنا، هي ال path أو هي المسارات اللي
+
+314
+00:25:37,400 --> 00:25:46,440
+ودّتني لمين؟ ل I5 اللي موجودة هنا، وبناءً عليه أنا الـ
+
+315
+00:25:46,440 --> 00:25:52,320
+nodes اللي فعليًا بتهمّني في عدد تكرارها، مين اللي
+
+316
+00:25:52,320 --> 00:25:59,280
+ظهرت مرتين؟ عندها في ال conditional، I2 ظهرت مرتين، و
+
+317
+00:25:59,280 --> 00:26:05,790
+I1 ظهرت مرتين، I3 ما بتلزمني، لأنها ظهرت لمرة واحدة، طب
+
+318
+00:26:05,790 --> 00:26:09,150
+إيش ال frequent pattern اللي بنعملها generation؟
+
+319
+00:26:09,150 --> 00:26:13,830
+معناته أنا بقدر أجي أقول I2، I5، هذا frequent
+
+320
+00:26:13,830 --> 00:26:21,510
+pattern، وعدد مرات ظهوره اثنين، في عند I1، I5، وهذا عدد
+
+321
+00:26:21,510 --> 00:26:26,070
+مرات ظهوره برضه عدد مرات ظهوره اثنين، وفي عند ال pattern
+
+322
+00:26:26,070 --> 00:26:32,410
+الثالث اللي هو I2، I1، I5، اللي هو الـ combination
+
+323
+00:26:32,410 --> 00:26:36,010
+عفواً، لهم كلهم، لأن هذه frequent وهذه frequent، فلما
+
+324
+00:26:36,010 --> 00:26:39,170
+نضيفهم مع بعض، هيكون في عندي frequent، وهي ال pattern
+
+325
+00:26:39,170 --> 00:26:43,190
+تبعتها، وبالتالي هذه هي ال generated frequent
+
+326
+00:26:43,190 --> 00:26:49,310
+pattern اللي طلعت عندي، كمان مرة نشوفها مع I4، I4
+
+327
+00:26:49,310 --> 00:26:53,630
+إيش عمليات الوصول اللي كانت لها؟ كانت من خلال 2
+
+328
+00:26:53,630 --> 00:27:03,280
+هذه المسارات، I2 مباشرة لحالها، أي اثنين، كم مرة وصلت
+
+329
+00:27:03,280 --> 00:27:10,260
+لها؟ اللي، عفواً، عندها، أي اثنين، أي أربعة، كان عندي عدد
+
+330
+00:27:10,260 --> 00:27:15,120
+مرات الظهور، مرة عبر أي واحد، ومرة عبر أي اثنين، يعني
+
+331
+00:27:15,120 --> 00:27:21,580
+أي اثنين مرة واحدة، مظبوط، ومرة من خلال أي اثنين، أي
+
+332
+00:27:21,580 --> 00:27:23,100
+واحد، كذلك مرة
+
+333
+00:27:25,920 --> 00:27:31,760
+الآن، من يلزمّني من هؤلاء اللي أظهر مرتين على الأقل؟
+
+334
+00:27:31,760 --> 00:27:34,700
+الـ I2، معناته الـ Conditional Pattern Tree تبعتي
+
+335
+00:27:34,700 --> 00:27:40,600
+ال I2 مرتين، وبالتالي بأجي، ال frequent pattern
+
+336
+00:27:40,600 --> 00:27:46,140
+تبعتي، حتكون I2، I4، وهي ال support تبعتها، ال minimum
+
+337
+00:27:46,140 --> 00:27:51,740
+support تبعتها 2، بأجي للـ I3، بنفس الكلام، I3 كيف وصلت
+
+338
+00:27:51,740 --> 00:27:58,860
+لها؟ إيش المسارات تبعتها؟ I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+339
+00:27:58,860 --> 00:28:00,700
+I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+340
+00:28:00,700 --> 00:28:00,820
+I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+341
+00:28:00,820 --> 00:28:04,540
+I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+342
+00:28:04,540 --> 00:28:05,400
+I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+343
+00:28:05,400 --> 00:28:10,580
+I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3، I3
+
+344
+00:28:24,850 --> 00:28:32,970
+هنا برضه مرتين، عبر I2، I1، I2، I1، برضه مرتين، مين الـ
+
+345
+00:28:32,970 --> 00:28:36,850
+frequent pattern عندي هنا؟ كلهم frequent، لأن I1 و
+
+346
+00:28:36,850 --> 00:28:41,330
+I2 عبارة عن frequent patterns، وبالتالي الـ
+
+347
+00:28:41,330 --> 00:28:52,610
+conditional tree تبعتي، I2 ظهرت أربع مرات، و I1 ظهرت
+
+348
+00:28:52,610 --> 00:28:59,940
+مرتين، عفواً، أي واحد ظهرت مرتين كذلك، في عندي أي واحد
+
+349
+00:28:59,940 --> 00:29:02,880
+ظهرت لحالها، طبعاً أنا جمعت هذول الاثنين مع بعض، إن
+
+350
+00:29:02,880 --> 00:29:07,120
+هذي وهذي، في بينهم intersection، أو جايين مع بعضهم
+
+351
+00:29:07,120 --> 00:29:11,180
+صحيح، اللي هم في pattern واحد، فإذا أنا بأعتبر إن
+
+352
+00:29:11,180 --> 00:29:14,140
+هذي pattern واحد، معناته إن هي ال pattern اللي عندي
+
+353
+00:29:14,140 --> 00:29:18,340
+أو ال condition اللي أريه، وعندي هنا أي واحد ظهرت
+
+354
+00:29:18,340 --> 00:29:22,930
+لحالها مرتين، إيش ال frequent pattern اللي عندي
+
+355
+00:29:22,930 --> 00:29:38,670
+حتكلم على combination، I2، I3 مرتين، كذلك عندي I1، I3
+
+356
+00:29:38,670 --> 00:29:43,590
+عفواً، ليش مرتين؟ أربع مرات، لأن I2 أربع مرات ظهرت، هي
+
+357
+00:29:43,590 --> 00:29:46,050
+أربعة وهنا I3
+
+358
+00:29:49,070 --> 00:29:54,870
+أي، أي اثنين مرتين هنا و مرتين هنا يعني أربعة، مرتين
+
+359
+00:29:54,870 --> 00:30:03,370
+ومرتين يعني أربعة، وهنا في عندي أي اثنين، أي واحد
+
+360
+00:30:03,370 --> 00:30:12,210
+أي ثلاثة، وهذا كذلك ظهر مرتين، وبالتالي
+
+361
+00:30:12,210 --> 00:30:15,710
+أنا هاي ال patterns اللي موجودة عندي، وهكذا بتظهر
+
+362
+00:30:15,710 --> 00:30:21,580
+عندي بجهة ال letter، وبالتالي هذه الـ pre، كل الـ
+
+363
+00:30:21,580 --> 00:30:24,040
+patterns، هذه مجموعة الـ generated frequent
+
+364
+00:30:24,040 --> 00:30:28,080
+patterns اللي أنا اشتغلت عليهم، أعمل ما بين الـ
+
+365
+00:30:28,080 --> 00:30:31,440
+patterns هذول، عبارة عن ال association rules اللي
+
+366
+00:30:31,440 --> 00:30:36,500
+موجودة عندها، ال FP growth method transforms the
+
+367
+00:30:36,500 --> 00:30:40,710
+problem of finding long frequent patterns، حولت
+
+368
+00:30:40,710 --> 00:30:44,230
+لها من البحث عن long frequent patterns searching
+
+369
+00:30:44,230 --> 00:30:48,330
+for shorter ones recursively and concatenating the
+
+370
+00:30:48,330 --> 00:30:52,510
+suffix، ودائمًا بأجمع لها ال suffix اللي بتكون
+
+371
+00:30:52,510 --> 00:30:57,610
+موجودة، it uses the least frequent items as suffix
+
+372
+00:30:58,530 --> 00:31:02,870
+ليش؟ لأن هم هذول الموجودين تحت خالص، تمام، offering
+
+373
+00:31:02,870 --> 00:31:07,270
+good selectivity، وتوفر عليها الموضوع، وهذا اختيار
+
+374
+00:31:07,270 --> 00:31:09,810
+مناسب، the method .. the method، عفواً
+
+375
+00:31:09,810 --> 00:31:14,630
+substantially .. substantially reduces the search
+
+376
+00:31:14,630 --> 00:31:19,690
+cost، لأنها بتشتغلش في ال breadth، depth، عفواً الـ
+
+377
+00:31:19,690 --> 00:31:23,110
+search، طيب
+
+378
+00:31:23,110 --> 00:31:26,410
+خلينا، بدنا نشوف المثال التالي
+
+379
+00:31:34,890 --> 00:31:39,270
+هذا مثال .. مثال ثاني، تكمّلونه لوحدكم إن شاء الله
+
+380
+00:31:39,270 --> 00:31:44,350
+تعالوا، فرصة لكم تتدربوا وتشوفوا الخطوات، لإنشاء الـ
+
+381
+00:31:44,350 --> 00:31:47,910
+header tree، أو ال table السابق، وكيف إحنا اشتغلنا
+
+382
+00:31:47,910 --> 00:31:52,530
+عليه خطوة بخطوة، الآن بيقول لي أن في عندي transaction
+
+383
+00:31:52,530 --> 00:31:55,950
+data set من خمس عناصر، فيها ال elements اللي أنتَ
+
+384
+00:31:55,950 --> 00:31:59,590
+مشتركها، ال minimum support تبعتها، minimum support
+
+385
+00:31:59,590 --> 00:32:03,230
+معناته، يا جماعة الخير، بدي أجي أعدّ، والله، ال F واحدة
+
+386
+00:32:03,230 --> 00:32:06,590
+اثنين، ثلاثة، أربعة، أكبر من ال minimum support
+
+387
+00:32:06,590 --> 00:32:17,590
+معناته ال F frequent، ال A، مرة، اثنين، ثلاثة
+
+388
+00:32:17,590 --> 00:32:21,450
+ال A frequent، ال C، مرة، اثنين، ثلاثة، أربعة، ال C
+
+389
+00:32:21,450 --> 00:32:27,950
+frequent، هنا
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..726200985182a04a9de7726a598eb95d713702c0
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_postprocess.srt
@@ -0,0 +1,1700 @@
+1
+00:00:00,000 --> 00:00:02,260
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:02,260 --> 00:00:06,120
+أهلا وسهلا بكم في تكملة chapter الـ Protective
+
+3
+00:00:06,120 --> 00:00:09,040
+Modelling أو الـ Frequent Pattern كنا تكلمنا سابقا
+
+4
+00:00:09,040 --> 00:00:12,880
+على مفهوم الـ Quote للتسجيلات السابقة على مفهوم
+
+5
+00:00:12,880 --> 00:00:15,440
+الـ Frequent Pattern وشو ال association role
+
+6
+00:00:15,440 --> 00:00:17,440
+وتكلمنا على ال support و ال confidence as
+
+7
+00:00:17,440 --> 00:00:17,860
+measurement
+
+8
+00:00:20,590 --> 00:00:24,210
+تحديد قوة الـ association role الـ frequent better
+
+9
+00:00:24,210 --> 00:00:27,710
+واتكلمنا على الابريريو algorithm كواحد من أهم ال
+
+10
+00:00:27,710 --> 00:00:32,830
+algorithm في وجود ال .. أو في الوصول ل ال
+
+11
+00:00:32,830 --> 00:00:37,490
+association roles و لكن قلنا ان في عندنا مجموعة من
+
+12
+00:00:37,490 --> 00:00:42,280
+ال drawbacks على مستوى ال ..الـ Algorithm اللي
+
+13
+00:00:42,280 --> 00:00:45,140
+عندنا منها انه انا فعليا في عندى multiple scan
+
+14
+00:00:45,140 --> 00:00:47,200
+طبعا من ال drawbacks دي اللي علاقة كلها بال
+
+15
+00:00:47,200 --> 00:00:51,160
+computation انه بتزيد من التكلفة الزمنية او
+
+16
+00:00:51,160 --> 00:00:55,680
+الحسابية لل algorithm اللي موجود عندنا ال multiple
+
+17
+00:00:55,680 --> 00:00:59,680
+scan او عدد ال number of candidates و ببدأ من
+
+18
+00:00:59,680 --> 00:01:03,600
+candidate واحد و ببدأ يجمعهم وبالتالي كان العدد
+
+19
+00:01:03,600 --> 00:01:07,680
+كبير العمل الممل و تكراره في موضوع العدل حسبة ال
+
+20
+00:01:07,680 --> 00:01:17,030
+support اللي موجود عندناممكن نقل
+
+21
+00:01:17,030 --> 00:01:22,330
+العدد مرات القراءة لل database أو نقل العدد ال
+
+22
+00:01:22,330 --> 00:01:24,230
+candidates اللي موجودين عندنا
+
+23
+00:01:27,160 --> 00:01:32,420
+بنتكلم عن طريقة كيف نسرع فيها أو نحسن فيها موضوع
+
+24
+00:01:32,420 --> 00:01:36,760
+العدل ال candidates نحسب ال support ال candidates
+
+25
+00:01:36,760 --> 00:01:40,120
+اللي موجودة عندنا وبشكل عام ممكن يعتمد ال parallel
+
+26
+00:01:40,120 --> 00:01:48,700
+computing من أجل تسريع الدأ العملية بشكل عام الان
+
+27
+00:01:48,700 --> 00:01:53,340
+ان شاء الله تعالى هنتكلم عن الوقولنا واحدة من
+
+28
+00:01:53,340 --> 00:01:56,160
+الحلول المتاحة عندي انه انا بحاول اوشد اوجد ال
+
+29
+00:01:56,160 --> 00:01:59,640
+frequent pattern بدون ما يكون في عندي ال candidate
+
+30
+00:01:59,640 --> 00:02:03,540
+generation طبعا احنا الآن بس من باب التأكيد انه ال
+
+31
+00:02:03,540 --> 00:02:07,280
+bottleneck او الحلق اللي .. خلنا نقول نقطة الازحام
+
+32
+00:02:07,280 --> 00:02:10,580
+او الحلق الأضعف في ال a priori approach ان هو ال
+
+33
+00:02:10,580 --> 00:02:14,500
+bred first search ال bred first search عشان يا
+
+34
+00:02:14,500 --> 00:02:16,660
+معنى الخير هي مصطلحات مسمة موجودة في ال data
+
+35
+00:02:16,660 --> 00:02:20,520
+structure اذا كنا بنتذكرها ومقصود فيها انه انا
+
+36
+00:02:20,520 --> 00:02:24,220
+البحث بتم في ال level wiseأيش يعني في الـ Level
+
+37
+00:02:24,220 --> 00:02:30,340
+-wise؟ المبدأ هذا جاي من أن في عندي موضوع Tree بغض
+
+38
+00:02:30,340 --> 00:02:35,120
+النظر الـ Structure تبعت الـ Tree فلاحية أو ربعية
+
+39
+00:02:35,120 --> 00:02:39,480
+و الاخرين فمفهوم ال bred first ان انا باخد level
+
+40
+00:02:39,480 --> 00:02:42,820
+level و بنتقل على كل عناصر ال level بعدين بروح على
+
+41
+00:02:42,820 --> 00:02:46,060
+ال level التاني و بمشي فيه طبعا هذه ال approach
+
+42
+00:02:46,060 --> 00:02:49,060
+لأنه فعليا كان بيبني كل ال candidates اللي من C1
+
+43
+00:02:49,980 --> 00:02:53,420
+وبعد ذلك ننتقل لـ Candidate C2 من الـ two elements
+
+44
+00:02:53,420 --> 00:02:58,480
+و Candidate C3 و هكذا وهذا طبعا اللي فعليا اللي
+
+45
+00:02:58,480 --> 00:03:03,980
+بياخد مني وجه طويل جدا بينما ال .. ال .. ال F
+
+46
+00:03:03,980 --> 00:03:08,340
+growth أو ال frequent pattern growth approach اللي
+
+47
+00:03:08,340 --> 00:03:11,260
+انا بدي اشتغل بدون ما ادور على ال candidates بشتغل
+
+48
+00:03:11,260 --> 00:03:17,440
+على مبدأ ال depth first search انه دائما انزل أعمق
+
+49
+00:03:17,440 --> 00:03:23,200
+نقطة في ال tree تمام؟وبعدها تشوف النقطة الأعمق
+
+50
+00:03:23,200 --> 00:03:29,820
+ومساوية لها و هكذا لما حد تخلص لقريتك وبالتالي هان
+
+51
+00:03:29,820 --> 00:03:35,660
+احنا بيصير في عندي اكسب list of avoidance لموضوع
+
+52
+00:03:35,660 --> 00:03:38,660
+ال candidate generation يعني بيصير في عندي بشكل
+
+53
+00:03:38,660 --> 00:03:40,640
+تلقائي انه التجنب او
+
+54
+00:03:50,810 --> 00:03:55,110
+الاساسي المصطلح أو الفلسفة الأساسية اللى بنى عليها
+
+55
+00:03:55,110 --> 00:03:59,430
+ال candidate او ال FB Growth ان الـ long patterns
+
+56
+00:03:59,430 --> 00:04:05,200
+ممكن تبنى من short patternsاللي كانت الـ frequent
+
+57
+00:04:05,200 --> 00:04:10,500
+items only وعشان كل كلام هذا يعني بكل بساطة بقولك
+
+58
+00:04:10,500 --> 00:04:14,120
+انا لو كان في عندي مجموعة من ال short ال frequent
+
+59
+00:04:14,120 --> 00:04:17,200
+peters اللي هدول المجموعة ال short ممكن يكونوا
+
+60
+00:04:17,200 --> 00:04:20,780
+لواحد اكبر منهم long peters على سبيل المثال لو كان
+
+61
+00:04:20,780 --> 00:04:24,600
+في عندي ال ABC is a frequent peter في ال data set
+
+62
+00:04:24,600 --> 00:04:30,420
+اللي عندي معناه انت ممكن تروح تجيب كل ال peters او
+
+63
+00:04:30,420 --> 00:04:35,720
+ال transaction اللي بتحتوي علىالـ ADC مثلا لو كان
+
+64
+00:04:35,720 --> 00:04:39,800
+frequent يعني ان كل ال patterns اللي بتحتوي على ال
+
+65
+00:04:39,800 --> 00:04:44,000
+ADC هن بيقول ان لو كان في عندي كمان frequent كمان
+
+66
+00:04:44,000 --> 00:04:46,680
+في عندي local frequent pattern اخر D وليكن على
+
+67
+00:04:46,680 --> 00:04:51,800
+سبيل المثال يعني لو اضفت ال D على كل frequent
+
+68
+00:04:51,800 --> 00:04:56,940
+patterns اللي موجودين عندي هن على اللي موجودة من
+
+69
+00:04:56,940 --> 00:05:03,250
+ال database هيكون عنديالـ A,B,C,D عبارة عن
+
+70
+00:05:03,250 --> 00:05:07,510
+frequent pattern يعني انا عندي A,B,C عبارة عن
+
+71
+00:05:07,510 --> 00:05:10,430
+frequent pattern وعندي ال D كمان frequent pattern
+
+72
+00:05:10,430 --> 00:05:15,730
+فحتما هيكون عندي A,B,C,D frequent pattern حتى لو
+
+73
+00:05:15,730 --> 00:05:18,770
+جل السببورت تبعته بس مش هنزل عن ال minimum support
+
+74
+00:05:18,770 --> 00:05:24,830
+ليش؟ لأنه بما انه ال support لهذه أكبر أو تساوي ال
+
+75
+00:05:24,830 --> 00:05:32,140
+minimum supportوديها دي ال support تبعتها أقل أو
+
+76
+00:05:32,140 --> 00:05:36,280
+تساوي ال minimum support فحتما هذا التنين هيكون
+
+77
+00:05:36,280 --> 00:05:39,220
+أكبر أو يساوي ال minimum support مش هيقل عنه بأي
+
+78
+00:05:39,220 --> 00:05:44,630
+حالة من الأحوال لأن التنين frequentالفكرة كمان مرة
+
+79
+00:05:44,630 --> 00:05:49,570
+ان انا فعليا احاول اعمل ركيز ركيرسيفلي growing لل
+
+80
+00:05:49,570 --> 00:05:53,130
+frequent pattern انشئ ال pattern بشكل ركيرسيفي
+
+81
+00:05:53,130 --> 00:05:56,510
+بشكل تلقائي يعني كل pattern يدور او يحاول يضيف ال
+
+82
+00:05:56,510 --> 00:06:03,210
+patterns اللي موجود عندها pattern and by pattern
+
+83
+00:06:03,210 --> 00:06:07,330
+frequent pattern by pattern andالـ Database
+
+84
+00:06:07,330 --> 00:06:10,230
+Partitioning وبالتالي انا بجسم ال database و ممكن
+
+85
+00:06:10,230 --> 00:06:13,650
+انا اشتغل عليها يعني يقولولنا ان ال FP Growth ك
+
+86
+00:06:13,650 --> 00:06:17,210
+algorithm او ك method هتكون افضل نتيجة او اسرع من
+
+87
+00:06:17,210 --> 00:06:23,670
+الابريري للوصول ل ال frequent pattern اللي موجودة
+
+88
+00:06:23,670 --> 00:06:28,970
+لانها for each frequent item لكل frequent item set
+
+89
+00:06:28,970 --> 00:06:33,530
+construct its conditional pattern انشئ لل
+
+90
+00:06:33,530 --> 00:06:37,580
+conditional pattern تبعتها بناء على ايش انتجتThen
+
+91
+00:06:37,580 --> 00:06:41,180
+it's conditional FB tree وروح انشأ الـ Tree اللي
+
+92
+00:06:41,180 --> 00:06:45,620
+بعد هيك الخاصة فيها هنشوف ال FB tree ونفهم إيش ال
+
+93
+00:06:45,620 --> 00:06:48,300
+conditional pattern اللي تم إنشاءها عليه ال
+
+94
+00:06:48,300 --> 00:06:50,740
+conditional pattern يعني كيف تم الوصول تبعتها، إيش
+
+95
+00:06:50,740 --> 00:06:55,160
+الشروط تبعت إنها صارت Teddy frequent؟repeat the
+
+96
+00:06:55,160 --> 00:06:59,980
+process on each newly created pattern conditional
+
+97
+00:06:59,980 --> 00:07:05,560
+FB3 until resulting FB3 is empty مايكونش فيها ولا
+
+98
+00:07:05,560 --> 00:07:09,600
+حاجة وضلك كره العملية لما ماظلش فيها انك في ال FB3
+
+99
+00:07:09,600 --> 00:07:16,660
+and or it contains only one path single path طبعا
+
+100
+00:07:16,660 --> 00:07:19,740
+وهذا بيكون generation all combination وهكذا انا
+
+101
+00:07:19,740 --> 00:07:25,150
+بكون جمعت كل ال sub paths اللي موجودة يعنيالخطوات
+
+102
+00:07:25,150 --> 00:07:28,290
+الخاصة بالألغوريثم انا بروح بعمل database scan
+
+103
+00:07:28,290 --> 00:07:33,410
+once وهي أول عملية قراءة لل database مثل الابريوري
+
+104
+00:07:33,410 --> 00:07:37,390
+و روحت و جبت ال first frequent pattern تمام احنا
+
+105
+00:07:37,390 --> 00:07:42,350
+بيقول depth صحيح breadth دبث عفوا وهيك ان انا روحت
+
+106
+00:07:42,350 --> 00:07:45,810
+في ال pattern الأول مش قضية كتير sort ال frequent
+
+107
+00:07:45,810 --> 00:07:49,940
+pattern وهنا دي شغلة جديدة انه رتبالـ Frequent
+
+108
+00:07:49,940 --> 00:07:53,400
+Patterns بناء على الـ Support بترتيب تنازلي
+
+109
+00:07:53,400 --> 00:07:56,820
+Descending Support Counting Making a Less than
+
+110
+00:07:56,820 --> 00:08:00,160
+Millihell اعمل Scan كمان مرة للـ Tree و اعمل
+
+111
+00:08:00,160 --> 00:08:05,000
+Construction للـ FB Tree اللي موجود اللي هنشوفها
+
+112
+00:08:05,000 --> 00:08:11,800
+Mining the B-Tree By Creating Conditional أو Sub
+
+113
+00:08:11,800 --> 00:08:16,460
+Patterns اللي موجودة تعالى نشوف ايش ممكن احنا
+
+114
+00:08:16,460 --> 00:08:20,360
+نساويممكن نرجع للـ benefits أو نخلصها الآن
+
+115
+00:08:20,360 --> 00:08:24,560
+completeness متكاملة preserve complete information
+
+116
+00:08:24,560 --> 00:08:28,080
+بيحتوي معلومات كاملة عن ال frequent pattern اللي
+
+117
+00:08:28,080 --> 00:08:30,900
+انا عملت لها extraction يعني دائما هو محتفظ بال
+
+118
+00:08:30,900 --> 00:08:33,440
+support تبعيتها هذه المعلومة اللي بتهمني ال
+
+119
+00:08:33,440 --> 00:08:37,120
+frequent pattern كم مرة ظهر never break long
+
+120
+00:08:37,120 --> 00:08:41,240
+patterns of any transaction ممكن تبعش لترانزاكش
+
+121
+00:08:41,240 --> 00:08:44,480
+مطلقا وهو المشكلة احنا مش فعاليا ماحسنهاش مع ال a
+
+122
+00:08:44,480 --> 00:08:48,080
+priori لكن بيتكلموا انه ممكنعندما تكون عند الـ
+
+123
+00:08:48,080 --> 00:08:52,080
+Data Set التعاملات الكبيرة والعناصر الموجودة فيها
+
+124
+00:08:52,080 --> 00:08:55,480
+كتير ممكن تصير فيها عندها comebackness أو الضغط أو
+
+125
+00:08:55,480 --> 00:09:03,020
+التكاملية أو تقليل المعلومات المعلومات المعلومات
+
+126
+00:09:03,020 --> 00:09:03,680
+المعلومات المعلومات المعلومات المعلومات المعلومات
+
+127
+00:09:03,680 --> 00:09:05,080
+المعلومات المعلومات المعلومات المعلومات المعلومات
+
+128
+00:09:05,080 --> 00:09:05,180
+المعلومات المعلومات المعلومات المعلومات المعلومات
+
+129
+00:09:05,180 --> 00:09:05,780
+المعلومات المعلومات المعلومات الم
+
+130
+00:09:17,640 --> 00:09:24,900
+العناصر الترتيب الترتيب التنازلي
+
+131
+00:09:24,900 --> 00:09:30,580
+الكثير ممكن أن يحدث الكثير ممكن أن يتم شرحالموجود
+
+132
+00:09:30,580 --> 00:09:33,100
+في الأعلى في أعلى القائمة هو غالبا هو المتكرر
+
+133
+00:09:33,100 --> 00:09:36,120
+الموجود عندها Never be larger than the original
+
+134
+00:09:36,120 --> 00:09:38,820
+database مستحيل يطلع عندي بتم أكبر من الموجود
+
+135
+00:09:38,820 --> 00:09:44,060
+عندها Not count node links and count field أنا
+
+136
+00:09:44,060 --> 00:09:50,240
+بعدش ال link بعد فقط عدد مرات الظهر بالمقال كما
+
+137
+00:09:50,240 --> 00:09:55,470
+العادة بالمثال يتضح المقالخلّينا الآن نشوف بالمثال
+
+138
+00:09:55,470 --> 00:09:58,070
+اللي موجود عندنا هناش بيساوي بقول افترض ان انا في
+
+139
+00:09:58,070 --> 00:10:01,090
+عندى هذا ال data ال transactional data set اللي
+
+140
+00:10:01,090 --> 00:10:06,710
+بتحتوي فيها خمس عناصر I1, I2, I3, I4, I5 وفي عندي
+
+141
+00:10:06,710 --> 00:10:12,690
+تسعة عفوان مش ..
+
+142
+00:10:12,690 --> 00:10:20,880
+I discard I transaction رقم تسعةكمان للأقل الخطأ
+
+143
+00:10:20,880 --> 00:10:24,360
+يصير يعني وهذا طبعا كررته هان لأن copy و paste
+
+144
+00:10:24,360 --> 00:10:29,540
+اشتغلت هنا في المثال لما عدلت عليه و لما هان كذلك
+
+145
+00:10:29,540 --> 00:10:38,620
+ان شاء الله كده تمام الان افترض ان ال minimum
+
+146
+00:10:38,620 --> 00:10:41,620
+support تبعتي هي عبارة عن اتنين ال minimum support
+
+147
+00:10:41,620 --> 00:10:47,500
+المطلوبة عبارة عن اتنين2 على 9 يعني 22% تقريبا الـ
+
+148
+00:10:47,500 --> 00:10:52,340
+step الأولى بقرر ال database مع ال first او one
+
+149
+00:10:52,340 --> 00:10:56,380
+item set كل المجموعات التي هي عنصر واحد و بحسب ال
+
+150
+00:10:56,380 --> 00:11:00,000
+support تبعتهم بعد هيك الخبرة التانية بروح برتبهم
+
+151
+00:11:00,000 --> 00:11:05,880
+الآن بكل بساطة لو أنا جيت و قلت لك هاي I واحدالـ
+
+152
+00:11:05,880 --> 00:11:14,540
+support هي 1,2,3,4,5,6 من ضمن العناصر الموجودة الـ
+
+153
+00:11:14,540 --> 00:11:20,220
+frequent هي 6 موجودة أكتر عنصر موجود عندي more
+
+154
+00:11:20,220 --> 00:11:23,800
+frequent هو I2 هو عدد مرات تكراره 7 مرات
+
+155
+00:11:27,740 --> 00:11:33,440
+التلاتة واربعة وخمسة مع بعض اتنين واحد وستة جايين
+
+156
+00:11:33,440 --> 00:11:36,740
+نفس ال frequent طب مين اقدم فيهم اللي بيظهر معاك
+
+157
+00:11:36,740 --> 00:11:40,540
+اولا في ال data set ما تلخمش حالك دائما او ما
+
+158
+00:11:40,540 --> 00:11:43,860
+تلخميش حالك دائما انا باخد اول عنصر بيظهر في ال
+
+159
+00:11:43,860 --> 00:11:47,320
+frequent set او في ال item set هو اللي انا بقدمه
+
+160
+00:11:47,320 --> 00:11:52,880
+في حالة تساوي عنصرين من ناحية عدد ال supportالان
+
+161
+00:11:52,880 --> 00:11:56,640
+بعد ذلك ابدأ ببناء الـ FB tree وهي بتتكلم عن خطوات
+
+162
+00:11:56,640 --> 00:12:03,820
+بناءها ابدا من null label تمام وبناء عليه اعمل ال
+
+163
+00:12:03,820 --> 00:12:07,040
+second time ال second scan لل database المرة
+
+164
+00:12:07,040 --> 00:12:12,140
+التانية في كل transaction اتعامل are processed in
+
+165
+00:12:12,140 --> 00:12:15,900
+ال L order بناء على ال sort order اللي موجود عندها
+
+166
+00:12:16,960 --> 00:12:22,320
+والجزء يتم صنعه لكل تجارب مع أشياء تدعمها تدعمها
+
+167
+00:12:22,320 --> 00:12:23,820
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+168
+00:12:23,820 --> 00:12:25,400
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+169
+00:12:25,400 --> 00:12:28,480
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+170
+00:12:28,480 --> 00:12:29,060
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+171
+00:12:29,060 --> 00:12:29,420
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+172
+00:12:29,420 --> 00:12:32,820
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها
+
+173
+00:12:32,820 --> 00:12:41,200
+تدعمها تدعمها تدعمها تدعمها تدعمها تدعمها تد
+
+174
+00:12:42,500 --> 00:12:46,200
+الـ Data Set اللي موجودة عندى بقولي رتبليه هين
+
+175
+00:12:46,200 --> 00:12:49,880
+رتبتهم الآن يا جماعة الخير هى ال ال Transactional
+
+176
+00:12:49,880 --> 00:12:54,560
+Data Set تبعتي و هى ال ال اللي موجودة عندى الان
+
+177
+00:12:54,560 --> 00:12:59,640
+بما أن الترتيب هذا لازم يكون عندى حاضر دائما فأسهل
+
+178
+00:12:59,640 --> 00:13:03,740
+اليك هاي خطوة اليكم انه انا اروح اعيد ترتيب ل
+
+179
+00:13:03,740 --> 00:13:07,660
+Transaction Element في كل ترتيب ال items في كل
+
+180
+00:13:07,660 --> 00:13:10,640
+Transaction بناء على هاي و انا اقترحت ان اعمل هذا
+
+181
+00:13:10,640 --> 00:13:16,580
+الجدولإن أبدأ بـ I2 I1 I5 لأن فعليا هدول موجودين
+
+182
+00:13:16,580 --> 00:13:20,300
+بس I2 هو الـ most frequent element فانا حطيته في
+
+183
+00:13:20,300 --> 00:13:23,960
+الأول هذا بريحني في بناء ال tree لاحقا خليني نبدأ
+
+184
+00:13:23,960 --> 00:13:27,220
+نبني ال tree الآن يا جماعة الخير بعد ما انا حطيت
+
+185
+00:13:27,220 --> 00:13:30,420
+الجدول قال لي ابدأ من null هاي null مش عندى مشكلة
+
+186
+00:13:30,420 --> 00:13:34,560
+في الموضوع هاي ال null ممتاز الآن ال transaction
+
+187
+00:13:34,560 --> 00:13:38,680
+الأول I2 I2
+
+188
+00:13:38,680 --> 00:13:47,150
+I2 وعدد تكرارها واحدلأن وراها I1 I1
+
+189
+00:13:47,150 --> 00:13:52,650
+و هاي كمان مرة و وراهم I5 ليش هدول جايين ورا بعض
+
+190
+00:13:52,650 --> 00:13:55,490
+جمعة الخير في one branch لأن هو عبارة عن نفس ال
+
+191
+00:13:55,490 --> 00:13:58,890
+transaction وبالتالي أنا لازم احطه بنفس النمرة
+
+192
+00:13:58,890 --> 00:14:03,810
+تمام نمتقل لترانزاكشن التاني I2 هي موجودة بغير ال
+
+193
+00:14:03,810 --> 00:14:08,750
+counter تبعتها هاي صارت اتنين I4 مش موجودة بحط
+
+194
+00:14:08,750 --> 00:14:11,550
+branch وهاي I4
+
+195
+00:14:14,290 --> 00:14:18,850
+خلصت الترانزاكشن وانتقل لترانزاكشن التالف I2 هذه
+
+196
+00:14:18,850 --> 00:14:28,470
+تارة تلاتة وراها I3 هذه تلاتة مش موجودة بحط branch
+
+197
+00:14:28,470 --> 00:14:38,630
+جديد و بسميه I3 و لمرة واحدة الترانزاكشن التالف I2
+
+198
+00:14:38,630 --> 00:14:42,990
+تارة اربعة خلنا بس نحاول نشوف ال options نجيب
+
+199
+00:14:42,990 --> 00:14:43,670
+المساحة
+
+200
+00:14:46,390 --> 00:14:51,310
+Eraser انا بدي امسح هذا تمام هذه صارت اربعة الآن
+
+201
+00:14:51,310 --> 00:14:57,310
+هذه
+
+202
+00:14:57,310 --> 00:15:02,590
+صارت اربعة لان انا في ال transaction الرابع I1
+
+203
+00:15:02,590 --> 00:15:08,390
+صارت اتنين الآن بقول I4 I4 مش موجودة فبروح بضيفها
+
+204
+00:15:08,390 --> 00:15:18,410
+هنا I اعفوا I4 وهي كمان مرةبرجع الـ I1 I1 مش
+
+205
+00:15:18,410 --> 00:15:24,790
+موجودة لأنها بادية من الـ NULL فبجب أضعها I1 وهي
+
+206
+00:15:24,790 --> 00:15:36,330
+كمان مرة و وراها I3 وهي مرة I2 I3 معناته هذه ستصبح
+
+207
+00:15:36,330 --> 00:15:42,900
+خمسة وهذه ستصبح اتنين لأن هذه ال branch موجودةالان
+
+208
+00:15:42,900 --> 00:15:46,360
+في اللي بقى احنا خلصنا هان خلصنا هان اي واحد اي
+
+209
+00:15:46,360 --> 00:15:50,680
+تلاتة هذه صارت اتنين لانه موجود ل branch اي اتنين
+
+210
+00:15:50,680 --> 00:15:56,340
+خلصناها الان هذا اي تلاتة اي اتنين عفوا صارت هذه
+
+211
+00:15:56,340 --> 00:16:00,960
+ستة ستة
+
+212
+00:16:00,960 --> 00:16:06,800
+اي واحد صارت تلاتة خلينا
+
+213
+00:16:06,800 --> 00:16:11,100
+اي خمسة وراهم هتصير هان اتنين خلينا بس اجيب ال
+
+214
+00:16:11,100 --> 00:16:11,440
+eraser
+
+215
+00:16:29,840 --> 00:16:38,140
+هنا صارت ستة وهنا صارت خمسة
+
+216
+00:16:38,140 --> 00:16:47,920
+وهذه صارت اتنين هذه صارت خمسة هي المفروض لأ
+
+217
+00:16:47,920 --> 00:16:53,660
+واحد اتنين
+
+218
+00:16:53,660 --> 00:16:56,620
+تلاتة هذه تلاتة المفروض مش خمسة
+
+219
+00:17:01,730 --> 00:17:07,970
+هذه ثلاثة تمام الآن الترانزاكشن اللي بعده I2 I1 I3
+
+220
+00:17:07,970 --> 00:17:15,450
+هذه تصبح سبعة وهذه أربعة وهذه اتنين الآن يا جماعة
+
+221
+00:17:15,450 --> 00:17:18,810
+الخير لو انا فكرت ان احسب ال support لكل واحد من
+
+222
+00:17:18,810 --> 00:17:22,330
+ال elements اللي موجود عندي I2 ال support تبعتها
+
+223
+00:17:22,330 --> 00:17:25,810
+سبعة تمام دعوني أغير بالسلون
+
+224
+00:17:30,540 --> 00:17:37,780
+سبعة صحيحة الان I واحد المفروض ستة I واحد هي عندي
+
+225
+00:17:37,780 --> 00:17:42,860
+هنا اربعة وعندي هنا اتنين فالكلام صحيح مية المية
+
+226
+00:17:42,860 --> 00:17:47,860
+مجموعهم ستة الان I تلاتة ستة كذلك I تلاتة عندي
+
+227
+00:17:47,860 --> 00:17:57,800
+موجود I تلاتة ست مرات اين I تلاتة هاي
+
+228
+00:17:57,800 --> 00:18:10,100
+مرتين هناهي مرتين هان هى
+
+229
+00:18:10,100 --> 00:18:14,320
+مرة هى تانية اتينية اتينية اتينية اتينية اتينية
+
+230
+00:18:14,320 --> 00:18:15,840
+اتينية اتينية اتينية اتينية اتينية اتينية اتينية
+
+231
+00:18:15,840 --> 00:18:15,920
+اتينية اتينية اتينية اتينية اتينية اتينية اتينية
+
+232
+00:18:15,920 --> 00:18:16,160
+اتينية اتينية اتينية اتينية اتينية اتينية اتينية
+
+233
+00:18:16,160 --> 00:18:17,620
+اتينية اتنية اتنية اتنية اتنية اتنية اتنية اتنية
+
+234
+00:18:17,620 --> 00:18:18,540
+اتنية اتنية اتنية اتنية اتنية اتنية اتنية اتنية
+
+235
+00:18:18,540 --> 00:18:19,600
+اتنية اتنية اتنية اتنية اتنية اتنية اتنية اتنية
+
+236
+00:18:19,600 --> 00:18:28,940
+اتنية اتنية
+
+237
+00:18:29,930 --> 00:18:38,930
+طيب اي تلاتة تمام اي اربعة مرتين هيهم لأ
+
+238
+00:18:38,930 --> 00:18:43,330
+هن مرة واحدة مش اربعة هن المفروض ما عدلناهاش مرة
+
+239
+00:18:43,330 --> 00:18:50,850
+واحدة وهي مرة واحدة مرتين تمامهذه الـ I5 مرتين
+
+240
+00:18:50,850 --> 00:18:55,570
+يعني الـ tree تبعتنا هيك بتكون سليمة و العنصر
+
+241
+00:18:55,570 --> 00:19:00,290
+تبعتها موجودة فهذه الـ tree فعليا اللي احنا عاملا
+
+242
+00:19:00,290 --> 00:19:07,870
+كنا بنحاول مرسومها I2 I4 I5 بمشي مع العناصر اعفوا
+
+243
+00:19:07,870 --> 00:19:19,280
+I1 I5 مع ال transaction I2 I4 هيها I2 I3 هيها في
+
+244
+00:19:19,280 --> 00:19:22,540
+كل مرة بمر على I2 انا بزيد ال counter تبعها لحد ما
+
+245
+00:19:22,540 --> 00:19:26,100
+تتحقق العناصر و دائما القصها بالمقطة هذه جمعت خير
+
+246
+00:19:26,100 --> 00:19:29,160
+بس عشان وارجيني هم وين النقاط اللي انا عمله جمعتهم
+
+247
+00:19:29,160 --> 00:19:34,440
+يعني هي Han و Han هدول مع بعض بتمثل الستة طيب تمام
+
+248
+00:19:34,440 --> 00:19:39,540
+انا هيك انا حصلت على ال tree اللي موجودة عندي الان
+
+249
+00:19:39,540 --> 00:19:43,680
+بدي اروح اشوف انشئ ال conditional pattern تبعتي او
+
+250
+00:19:43,680 --> 00:19:47,680
+ال conditional pattern نعممن الـ tree اللي موجودة
+
+251
+00:19:47,680 --> 00:19:52,540
+عندها فممكن انا ابدأ امر على او اعمل traversing لل
+
+252
+00:19:52,540 --> 00:19:57,880
+tree اللي موجودة عندها عشان اشوف ال occurrence تبع
+
+253
+00:19:57,880 --> 00:20:01,700
+ال pattern اللي عندها الان المشكلة تبعتي كيف انا
+
+254
+00:20:01,700 --> 00:20:04,880
+بدي احصل على ال frequent pattern من ال database
+
+255
+00:20:04,880 --> 00:20:11,580
+تمام ال database is transferred ل ال tree وهذا
+
+256
+00:20:11,580 --> 00:20:18,220
+الان بدي اجيب من ال tree اللي عندهاعشان تقدر تنقب
+
+257
+00:20:18,220 --> 00:20:22,540
+أو تطلع او تعمل extraction military وتبني او تعتمد
+
+258
+00:20:22,540 --> 00:20:26,020
+على ال conditional pattern اللي موجود عندك هنا
+
+259
+00:20:26,020 --> 00:20:29,300
+ابدا مع ال frequent pattern اللي من واحد as
+
+260
+00:20:29,300 --> 00:20:33,120
+initial suffix suffix يعني من البداية بدك تشتغل
+
+261
+00:20:34,590 --> 00:20:39,090
+Construct Conditional Pattern Based Which Consists
+
+262
+00:20:39,090 --> 00:20:43,630
+Of The Prefix Paths
+
+263
+00:20:43,630 --> 00:20:46,670
+In Every Tree Co-occurring With The Suffix In The
+
+264
+00:20:46,670 --> 00:20:49,050
+Motion ابدا مع الـ Tree اللي بتبدأ بالـ Suffix
+
+265
+00:20:49,050 --> 00:20:53,910
+اللي موجود عندك Construct Conditional Pattern Tree
+
+266
+00:20:53,910 --> 00:21:01,030
+And Perform Mining On Such Treeاللي عندك هان هيبدأ
+
+267
+00:21:01,030 --> 00:21:06,230
+يزيد معايا growth is achieved by concatenation the
+
+268
+00:21:06,230 --> 00:21:11,690
+suffix مع ال frequent pattern اللي ظهر عندي و عيدك
+
+269
+00:21:11,690 --> 00:21:14,350
+دلك كتر في خطوة أربعة لحد ما تخلص ال tree تعالى
+
+270
+00:21:14,350 --> 00:21:19,150
+نشوف عندي هان ايش اللي بيصير هان او خليني احتفظ
+
+271
+00:21:19,150 --> 00:21:23,210
+بفقط ال tree و اشوف ال header ايش هذا بده عشان
+
+272
+00:21:23,210 --> 00:21:25,930
+بعدين بنشوفه خليني بس اوقف هان
+
+273
+00:21:31,640 --> 00:21:35,040
+الان عشان انا انشئ ال tree او انا بدأ انشئ ال
+
+274
+00:21:35,040 --> 00:21:38,780
+conditional ال pattern base و ال tree تبعتي بناء
+
+275
+00:21:38,780 --> 00:21:41,580
+على ال tree اللي موجودة عندنا .. اللي انشأناها
+
+276
+00:21:41,580 --> 00:21:45,480
+سابقا الان يا جماعة الخير كان بيقوللي في المثال
+
+277
+00:21:45,480 --> 00:21:50,120
+السابق ان اول حاجة ابدأ مع ال frequent pattern
+
+278
+00:21:50,120 --> 00:21:56,200
+length واحد تمام؟ as initial suffix pattern طيب
+
+279
+00:21:56,200 --> 00:22:06,660
+الفكرةهل انا بدي اخد اي
+
+280
+00:22:06,660 --> 00:22:10,460
+اتنين او اي واحد او اي اتنين او اي اتنين او اي
+
+281
+00:22:10,460 --> 00:22:12,640
+اتنين او اي اتنين او اي اتنين او اي اتنين او اي
+
+282
+00:22:12,640 --> 00:22:13,100
+اتنين او اي اتنين او اتنين او اتنين او اتنين او
+
+283
+00:22:13,100 --> 00:22:13,440
+اتنين او اتنين او اتنين او اتنين او اتنين او اتنين
+
+284
+00:22:13,440 --> 00:22:14,560
+او اتنين او اتنين او اتنين او اتنين او اتنين او
+
+285
+00:22:14,560 --> 00:22:21,320
+اتنين او اتنين او اتنين او اتنDepth Search مظبوط
+
+286
+00:22:21,320 --> 00:22:26,160
+جالك Depth Search Tree الـ Traversing وبالتالي هو
+
+287
+00:22:26,160 --> 00:22:28,540
+بدوش اشتغل Bread بدوش اشتغل Depth معناته Depth
+
+288
+00:22:28,540 --> 00:22:31,640
+بدروح على أعمق نقطة مين أعمق نقطة ده هي النقاط
+
+289
+00:22:31,640 --> 00:22:35,960
+تبعتي و اشتغل عليها مين النقاط اللي موجودة عندى في
+
+290
+00:22:35,960 --> 00:22:44,090
+ال leaves يا جماعة الخير I5 I4 I3 مظبوططيب و بعد
+
+291
+00:22:44,090 --> 00:22:47,470
+هي كنت بدي أطلع لحد ما هي في عندي نوت وبالتالي
+
+292
+00:22:47,470 --> 00:22:52,510
+النقاط تبعتهم كل العناصر معدمين معدم قطين هدول
+
+293
+00:22:52,510 --> 00:22:55,650
+اللي موجودات فوق خالص اللي هم جايات النل لأن هدول
+
+294
+00:22:55,650 --> 00:23:07,650
+هم بمثلوا عندي بمثلوا المفتاح الأساس في الشغل تمام
+
+295
+00:23:09,130 --> 00:23:15,130
+الان بما ان انا هشتغل هشتغل كتالي من خلال ال tree
+
+296
+00:23:15,130 --> 00:23:21,710
+اللي موجودة عندى و زى ما قولنا حبدة من ال I خمسة
+
+297
+00:23:21,710 --> 00:23:25,870
+ايه ال I خمسة لأ انا باصللها من خلال مين يا جماعة
+
+298
+00:23:25,870 --> 00:23:31,910
+الخير ال I خمسة انا باصللها من خلال I اتنين و I
+
+299
+00:23:31,910 --> 00:23:38,380
+اربعةعفوا I2 و I1 كم مرة مريت عليهم عشان اصل لل
+
+300
+00:23:38,380 --> 00:23:41,900
+element هذا خليني برضه احنا قولنا المعلومات تبعتنا
+
+301
+00:23:41,900 --> 00:23:49,780
+بدها تكون دائما موجودة عندى خليني بس اجيب ال data
+
+302
+00:23:49,780 --> 00:23:54,820
+set عشان تظل حاضرة عندنا هي هذه
+
+303
+00:24:03,760 --> 00:24:20,280
+و بدي أجيبها هنا على الآخر لماذا
+
+304
+00:24:20,280 --> 00:24:28,200
+لا أشوف ال animation حقيقية animation
+
+305
+00:24:28,200 --> 00:24:32,980
+team group لا أريد animation حقيقية
+
+306
+00:24:37,210 --> 00:24:42,550
+كل هاي ال element اللى انا بدى اشتغل عليهم طيب ال
+
+307
+00:24:42,550 --> 00:24:55,190
+I الآن
+
+308
+00:24:55,190 --> 00:24:58,190
+جمعت الخيار فهذا الجدول هيلزمني عشان انا اقدر
+
+309
+00:24:58,190 --> 00:25:01,570
+اتذكر انا فعليا ال conditional better base انا
+
+310
+00:25:01,570 --> 00:25:06,330
+وصلت لل I خمس خلال Iالـ I5 أنا وصلت لها من خلال
+
+311
+00:25:06,330 --> 00:25:16,990
+وصلت لها مرتين مرة من خلال I2 و I1 لحالهم هذه كانت
+
+312
+00:25:16,990 --> 00:25:32,710
+مرة مصبوط و مرة كانت من خلال I1 و I3 I2 I1 I3 هذه
+
+313
+00:25:32,710 --> 00:25:37,400
+كمان مرةمعناته انا هي ال path او هي المسارات اللي
+
+314
+00:25:37,400 --> 00:25:46,440
+ودتني لمين ل I5 اللي موجودة هنا وبناء عليه أنا ال
+
+315
+00:25:46,440 --> 00:25:52,320
+nodes اللي فعليا بتهمني في عدد تكرارها المين اللي
+
+316
+00:25:52,320 --> 00:25:59,280
+ظهرت مرتين عندها في ال conditional I2 ظهرت مرتين و
+
+317
+00:25:59,280 --> 00:26:05,790
+I1 ظهرت مرتينI3 مابتلزمش لأنها ظهرت لمرة واحدة طب
+
+318
+00:26:05,790 --> 00:26:09,150
+ايش ال frequent pattern اللي بنعملها generation؟
+
+319
+00:26:09,150 --> 00:26:13,830
+معناته انا بقدر اجي اقول I2 I5 هذا frequent
+
+320
+00:26:13,830 --> 00:26:21,510
+pattern وعدد مرات ظهره اتنين في عند I1 I5 وهذا عدد
+
+321
+00:26:21,510 --> 00:26:26,070
+مراته برضه عدد مرات ظهره اتنين وفي عند ال pattern
+
+322
+00:26:26,070 --> 00:26:32,410
+التالت اللي هو I2 I1I5 اللي هو الـ combination
+
+323
+00:26:32,410 --> 00:26:36,010
+عفوًا لهم كلهم لأن هذه frequent وهذه frequent فلما
+
+324
+00:26:36,010 --> 00:26:39,170
+نضفهم مع بعض هيكون في عندي frequent وهي ال pattern
+
+325
+00:26:39,170 --> 00:26:43,190
+تبعتهم وبالتالي هذه هي ال generated frequent
+
+326
+00:26:43,190 --> 00:26:49,310
+pattern اللي طلعت عندي كمان مرة نشوفها مع I4 I4
+
+327
+00:26:49,310 --> 00:26:53,630
+إيش عمليات الوصول اللي كانت إلها كانت من خلال 2
+
+328
+00:26:53,630 --> 00:27:03,280
+هذه البسارات I2 مباشرة لحالهاأي اتنين كم مرة وصلت
+
+329
+00:27:03,280 --> 00:27:10,260
+لها اللي عفوا عندها اي اتنين اي اربعة كان عندى عدد
+
+330
+00:27:10,260 --> 00:27:15,120
+مرات الظهور مرة عبر اي واحد ومرة عبر اي اتنين يعني
+
+331
+00:27:15,120 --> 00:27:21,580
+اي اتنين مرة واحدة مظبوط ومرة من خلال اي اتنين اي
+
+332
+00:27:21,580 --> 00:27:23,100
+واحد كذلك مرة
+
+333
+00:27:25,920 --> 00:27:31,760
+الان من يلزمني من هؤلاء اللي اظهر مرتين على الأقل
+
+334
+00:27:31,760 --> 00:27:34,700
+الـ I2 المعنى الـ Conditional Pattern Tree تبعتي
+
+335
+00:27:34,700 --> 00:27:40,600
+ال I2 مرتين وبالتالي باجي ال frequent pattern
+
+336
+00:27:40,600 --> 00:27:46,140
+تبعتي هتكون I2 I4 وهي ال support تبعته ال minimum
+
+337
+00:27:46,140 --> 00:27:51,740
+support تبعته 2 باجي لل I3 بنفس الكلام I3 كيف وصلت
+
+338
+00:27:51,740 --> 00:27:58,860
+لهاأيش المسارات تبعت I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+339
+00:27:58,860 --> 00:28:00,700
+I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+340
+00:28:00,700 --> 00:28:00,820
+I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+341
+00:28:00,820 --> 00:28:04,540
+I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+342
+00:28:04,540 --> 00:28:05,400
+I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+343
+00:28:05,400 --> 00:28:10,580
+I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3 I3
+
+344
+00:28:24,850 --> 00:28:32,970
+هان برضه مرتين عبر I2 I1 I2 I1 برضه مرتين مين ال
+
+345
+00:28:32,970 --> 00:28:36,850
+frequent pattern عند هان؟ كلهم frequent لأن I1 و
+
+346
+00:28:36,850 --> 00:28:41,330
+I2 عبارة عن frequent patterns وبالتالي ال
+
+347
+00:28:41,330 --> 00:28:52,610
+conditional tree تبعتي I2 ظهرت أربع مرات و I1 ظهرت
+
+348
+00:28:52,610 --> 00:28:59,940
+مرتينعفوًا اي واحد ظهرت مرتين كذلك في عندى اي واحد
+
+349
+00:28:59,940 --> 00:29:02,880
+ظهرت لحالها طبعا انا جمعت هدول التنتين مع بعض ان
+
+350
+00:29:02,880 --> 00:29:07,120
+هدى و هدى في بينهم intersection او جايات مع بعضهم
+
+351
+00:29:07,120 --> 00:29:11,180
+صحيح اللي هم في pattern واحد فإذا انا باعتبر ان
+
+352
+00:29:11,180 --> 00:29:14,140
+هدى pattern واحد معناته ان هى ال pattern اللى عندى
+
+353
+00:29:14,140 --> 00:29:18,340
+او ال condition اللى تريه وعندى هنا اي واحد ظهرت
+
+354
+00:29:18,340 --> 00:29:22,930
+لحالهامرتين ايش ال frequent pattern اللي عندي
+
+355
+00:29:22,930 --> 00:29:38,670
+هتكلم على combination I2 I3 مرتين كذلك عندي I1 I3
+
+356
+00:29:38,670 --> 00:29:43,590
+عفوا ليش مرتين اربع مرات لان I2 اربع مرات ظهرت هي
+
+357
+00:29:43,590 --> 00:29:46,050
+اربعة وهنا I3
+
+358
+00:29:49,070 --> 00:29:54,870
+أي اي اتنين مرتين هنا و مرتين هنا يعني اربعة مرتين
+
+359
+00:29:54,870 --> 00:30:03,370
+و مرتين يعني اربعة و هنا في عندي اي اتنين اي واحد
+
+360
+00:30:03,370 --> 00:30:12,210
+اي تلاتة وهذا كذلك ظهر مرتين وبالتالي
+
+361
+00:30:12,210 --> 00:30:15,710
+انا هاي ال pattern اللي موجود عندي وهكذا بتظهر
+
+362
+00:30:15,710 --> 00:30:21,580
+عندى بجهة ال letterبالتالي هذه الـ pre كل ال
+
+363
+00:30:21,580 --> 00:30:24,040
+patterns هذه مجموعة الـ generated frequent
+
+364
+00:30:24,040 --> 00:30:28,080
+patterns اللي انا اشتغلت عليهم اعمل ما بين ال
+
+365
+00:30:28,080 --> 00:30:31,440
+patterns هدول عبارة عن ال association rules اللي
+
+366
+00:30:31,440 --> 00:30:36,500
+موجودة عندها ال FP growth method transform the
+
+367
+00:30:36,500 --> 00:30:40,710
+problem of finding long frequent patternsبحولت
+
+368
+00:30:40,710 --> 00:30:44,230
+ليها من البحث عن long frequent patterns searching
+
+369
+00:30:44,230 --> 00:30:48,330
+for shorter ones recursively and concatenating the
+
+370
+00:30:48,330 --> 00:30:52,510
+suffix و دائما أجمع ليه ال suffix اللي بتكون
+
+371
+00:30:52,510 --> 00:30:57,610
+موجودة it uses the least frequent items as suffix
+
+372
+00:30:58,530 --> 00:31:02,870
+ليش؟ لأن هم هدول الموجودين تحت خالص تمام offering
+
+373
+00:31:02,870 --> 00:31:07,270
+good selectivity وتوفر عليها الموضوع وهذا اختيار
+
+374
+00:31:07,270 --> 00:31:09,810
+مكون مناسب the method .. the method عفوا
+
+375
+00:31:09,810 --> 00:31:14,630
+substantially .. substantially reduce the search
+
+376
+00:31:14,630 --> 00:31:19,690
+cost لأنها بتشتغلش في ال breadth depth عفوا ال
+
+377
+00:31:19,690 --> 00:31:23,110
+search طيب
+
+378
+00:31:23,110 --> 00:31:26,410
+خلينا بدنا نشوف المثال التالي
+
+379
+00:31:34,890 --> 00:31:39,270
+هذا مثال .. مثال تاني تكملونه لواحدكم ان شاء الله
+
+380
+00:31:39,270 --> 00:31:44,350
+تعالى فرصة لكم تتدربوا و تشوفوا الخطوات لإنشاء ال
+
+381
+00:31:44,350 --> 00:31:47,910
+header tree او ال table السابق و كيف احنا اشتغلنا
+
+382
+00:31:47,910 --> 00:31:52,530
+عليه خطوة خطوة الان بقول لي ان في عندي transaction
+
+383
+00:31:52,530 --> 00:31:55,950
+data set من خمس عناصر فيها ال element اللي انت
+
+384
+00:31:55,950 --> 00:31:59,590
+مشرقها ال minimum support تبعتها minimum support
+
+385
+00:31:59,590 --> 00:32:03,230
+معناته ان جماعة الخيربدي أجي أعد والله ال F واحدة
+
+386
+00:32:03,230 --> 00:32:06,590
+تنتين تلاتة أربعة أكبر من ال minimum support
+
+387
+00:32:06,590 --> 00:32:17,590
+معناته ال F frequent ال A مرة تنتين تلاتة
+
+388
+00:32:17,590 --> 00:32:21,450
+ال A frequent ال C مرة تنتين تلاتة أربعة ال C
+
+389
+00:32:21,450 --> 00:32:27,950
+frequent هنا تلاتة هنا أربعة هنا أربعة ال D مرة is
+
+390
+00:32:27,950 --> 00:32:37,540
+not frequent مش هستخدمهاالـ G مرة مش هستخدمها ال D
+
+391
+00:32:37,540 --> 00:32:44,140
+قولنا مرة ال I مرة مش هستخدمها ال M مرتين تين
+
+392
+00:32:44,140 --> 00:32:50,760
+تلاتة فهي frequent هتفض فيها ال B مرتين تين تلاتة
+
+393
+00:32:50,760 --> 00:32:56,640
+فهتفض فيها على إنها frequent بالتالي ال L تبعتي ال
+
+394
+00:32:56,640 --> 00:33:01,830
+L تبعتيطب ده العناصر اللي مثلا في عند ال L it's
+
+395
+00:33:01,830 --> 00:33:08,270
+not frequent مرتين ال
+
+396
+00:33:08,270 --> 00:33:15,030
+O it's not frequent مرتين ال H it's not frequent
+
+397
+00:33:15,030 --> 00:33:21,030
+مرة واحدة ال W it's not frequently مرة واحدة ال N
+
+398
+00:33:21,030 --> 00:33:30,900
+ال K مرة ال S مرة ال N مرةالـ E مرة وبالتالي أنا
+
+399
+00:33:30,900 --> 00:33:34,520
+هي العناصر ال frequent تبعتها اللي هم الموجودين
+
+400
+00:33:34,520 --> 00:33:43,560
+فوق F,A او F,C,A,M,P تلت او خمس عناصر F,C بالترتيب
+
+401
+00:33:43,560 --> 00:33:48,260
+لأنهم ظهرت ال F أولا وال frequent تبعتها أربعةالـ
+
+402
+00:33:48,260 --> 00:33:50,840
+frequency تبعتها أربعة والـ C كذلك وراها أربعة ولا
+
+403
+00:33:50,840 --> 00:33:56,320
+بدنا نرتبهم ترتيب تنازلي فانا فعليا هي ال order
+
+404
+00:33:56,320 --> 00:34:01,360
+frequent set مع كل data set هي ال frequent item
+
+405
+00:34:01,360 --> 00:34:07,740
+set اللي أنا الموجودة عندي فانا هدول فعليا هيهم
+
+406
+00:34:07,740 --> 00:34:12,600
+وبالتالي هي ال F بدنا نرسم ل 3 و بدنا نرسم ل 3
+
+407
+00:34:12,600 --> 00:34:17,330
+عشان نتمرن على الجدول و نتكمل الجدول للآخر تمامفي
+
+408
+00:34:17,330 --> 00:34:22,670
+مقارنة ما بين الـ Apriori والـ FB Growth من ناحية
+
+409
+00:34:22,670 --> 00:34:26,470
+الـ Scalability على نفس الـ dataset اللي تم
+
+410
+00:34:26,470 --> 00:34:31,450
+استخدامها مع تغيير للـ threshold تبع الـ minimum
+
+411
+00:34:31,450 --> 00:34:36,850
+support تبع ال support والزمن بالثانية اللي موجود
+
+412
+00:34:36,850 --> 00:34:44,330
+هناالـ FB Growth فعليا من 40 أو 45 ثانية تقريبا أو
+
+413
+00:34:44,330 --> 00:34:48,670
+أقل شوية أو 43 ثانية و بدأ ينزل لما كنت أنا يشبه
+
+414
+00:34:48,670 --> 00:34:52,630
+أزيد طبعا لاحظوا أنا مافيش مجال ال support يكون
+
+415
+00:34:52,630 --> 00:34:55,930
+صفر لل threshold تبع ال support طبعا هنبغي أن هي
+
+416
+00:34:55,930 --> 00:34:59,370
+نسبة في المية جامعة الخير في الآخر و بدها تصير
+
+417
+00:34:59,370 --> 00:35:05,270
+فمستحيل تكون صفر عندي فالآن واضح أنه أداء ال FB
+
+418
+00:35:05,270 --> 00:35:11,080
+Growthأفضل تمام خصوصا لما بيصغر ال support لما
+
+419
+00:35:11,080 --> 00:35:14,380
+بيصغر ال support لإن كل ما بيكبر ال support تقريبا
+
+420
+00:35:14,380 --> 00:35:19,220
+أداء التنتين بيصير واحد تقريبا
+
+421
+00:35:22,630 --> 00:35:27,570
+هنكمل كفاية التسديل اللي اتأخرنا حاجة في التسديل
+
+422
+00:35:27,570 --> 00:35:30,370
+هذا لحضان و هكمل في الجزئية اللي ضايلة و هعرض
+
+423
+00:35:30,370 --> 00:35:33,630
+عليكم بقى code بسيط في تطبيق ال association role
+
+424
+00:35:33,630 --> 00:35:39,170
+خلال التسديل ان شاء الله تعالى كنت انا حضرته سابقا
+
+425
+00:35:39,170 --> 00:35:42,670
+و هنمر على ال code مع بعض السلام عليكم و رحمة الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b5dd0ea127f58aa73022bafeb8f14e7d7a31691
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/4I0vSe-ObqM_raw.json
@@ -0,0 +1 @@
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اللي هدول المجموعة ال short ممكن يكونوا لواحد اكبر منهم long peters على سبيل المثال لو كان في عندي ال ABC is a frequent peter في ال data set اللي عندي معناه انت ممكن تروح تجيب كل ال peters او ال transaction اللي بتحتوي على", "tokens": [6027, 20292, 25961, 2655, 2423, 39184, 18004, 4754, 787, 4032, 3615, 8592, 7649, 28242, 28242, 10943, 23758, 37495, 22653, 4724, 28820, 4724, 3794, 41193, 3660, 4724, 39648, 4117, 1975, 8315, 45164, 25961, 8978, 18871, 16254, 3714, 7435, 2304, 2407, 27884, 9154, 2423, 2099, 2423, 18004, 3817, 433, 13672, 1829, 8032, 3215, 12610, 9673, 7435, 2304, 2407, 27884, 2423, 2099, 3714, 43020, 7251, 30544, 14407, 5296, 14407, 24401, 1975, 4117, 26890, 9154, 16095, 938, 3817, 433, 15844, 8608, 21292, 1211, 9673, 12984, 6027, 45164, 25961, 8978, 18871, 16254, 2423, 22342, 307, 257, 18004, 3817, 260, 8978, 2423, 1412, 992, 13672, 1829, 18871, 16254, 20449, 8315, 3224, 16472, 2655, 3714, 43020, 6055, 32887, 5016, 6055, 7435, 1829, 3555, 28242, 2423, 3817, 433, 1975, 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"end": 298.86, "text": "الـ ADC مثلا لو كان frequent يعني ان كل ال patterns اللي بتحتوي على ال ADC هن بيقول ان لو كان في عندي كمان frequent كمان في عندي local frequent pattern اخر D وليكن على سبيل المثال يعني لو اضفت ال D على كل frequent patterns اللي موجودين عندي هن على اللي موجودة من ال database هيكون عندي", "tokens": [6027, 39184, 9135, 34, 50113, 15040, 45164, 25961, 18004, 37495, 22653, 16472, 28242, 2423, 8294, 13672, 1829, 39894, 33753, 45865, 15844, 2423, 9135, 34, 8032, 1863, 4724, 1829, 39648, 16472, 45164, 25961, 8978, 18871, 16254, 9122, 2304, 7649, 18004, 9122, 2304, 7649, 8978, 18871, 16254, 2654, 18004, 5102, 1975, 34740, 413, 4032, 20292, 19452, 15844, 8608, 21292, 1211, 9673, 12984, 6027, 37495, 22653, 45164, 1975, 11242, 5172, 2655, 2423, 413, 15844, 28242, 18004, 8294, 13672, 1829, 3714, 29245, 23328, 9957, 18871, 16254, 8032, 1863, 15844, 13672, 1829, 3714, 29245, 23328, 3660, 9154, 2423, 8149, 39896, 30544, 18871, 16254], "avg_logprob": -0.40151513706554065, 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ال D كمان frequent pattern فحتما هيكون عندي A,B,C,D frequent pattern حتى لو جل السببورت تبعته بس مش هنزل عن ال minimum support ليش؟ لأنه بما انه ال support لهذه أكبر أو تساوي ال minimum support", "tokens": [6027, 39184, 316, 11, 33, 11, 34, 11, 35, 6225, 3555, 9640, 3660, 18871, 18004, 5102, 37495, 22653, 1975, 8315, 18871, 16254, 316, 11, 33, 11, 34, 6225, 3555, 9640, 3660, 18871, 18004, 5102, 4032, 3615, 1863, 16254, 2423, 413, 9122, 2304, 7649, 18004, 5102, 6156, 33753, 15042, 8032, 1829, 30544, 18871, 16254, 316, 11, 33, 11, 34, 11, 35, 18004, 5102, 11331, 49975, 45164, 10874, 1211, 21136, 3555, 3555, 13063, 2655, 6055, 3555, 34268, 3224, 4724, 3794, 37893, 8032, 1863, 11622, 1211, 18871, 2423, 7285, 1406, 32239, 8592, 22807, 5296, 33456, 3224, 4724, 15042, 16472, 3224, 2423, 1406, 46740, 24192, 5551, 4117, 26890, 34051, 6055, 3794, 995, 45865, 2423, 7285, 1406], "avg_logprob": -0.2526272123893805, "compression_ratio": 1.8227272727272728, "no_speech_prob": 4.112720489501953e-06, 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set اللي بتحتوي فيها خمس عناصر I1, I2, I3, I4, I5 وفي عندي تسعة عفوان مش .. 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"word": " conditional", "probability": 0.89697265625}, {"start": 1554.12, "end": 1555.54, "word": " I2", "probability": 0.962890625}, {"start": 1555.54, "end": 1557.84, "word": " ظهرت", "probability": 0.8812255859375}, {"start": 1557.84, "end": 1558.48, "word": " مرتين", "probability": 0.99560546875}, {"start": 1558.48, "end": 1559.28, "word": " و", "probability": 0.6484375}, {"start": 1559.28, "end": 1560.1, "word": " I1", "probability": 0.847412109375}, {"start": 1560.1, "end": 1560.68, "word": " ظهرت", "probability": 0.931884765625}, {"start": 1560.68, "end": 1561.18, "word": " مرتين", "probability": 0.9962565104166666}], "temperature": 1.0}, {"id": 60, "seek": 158987, "start": 1562.13, "end": 1589.87, "text": "I3 مابتلزمش لأنها ظهرت لمرة واحدة طب ايش ال frequent pattern اللي بنعملها generation؟ معناته انا بقدر اجي اقول I2 I5 هذا frequent pattern وعدد مرات ظهره اتنين في عند I1 I5 وهذا عدد مراته برضه عدد مرات ظهره اتنين وفي عند ال pattern التالت اللي هو I2 I1", "tokens": [40, 18, 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مرات", "probability": 0.96923828125}, {"start": 1575.69, "end": 1576.09, "word": " ظهره", "probability": 0.82666015625}, {"start": 1576.09, "end": 1576.45, "word": " اتنين", "probability": 0.897216796875}, {"start": 1576.45, "end": 1577.11, "word": " في", "probability": 0.3896484375}, {"start": 1577.11, "end": 1577.27, "word": " عند", "probability": 0.5703125}, {"start": 1577.27, "end": 1578.61, "word": " I1", "probability": 0.771240234375}, {"start": 1578.61, "end": 1579.89, "word": " I5", "probability": 0.913330078125}, {"start": 1579.89, "end": 1581.25, "word": " وهذا", "probability": 0.676513671875}, {"start": 1581.25, "end": 1581.51, "word": " عدد", "probability": 0.9871419270833334}, {"start": 1581.51, "end": 1582.13, "word": " مراته", "probability": 0.958740234375}, {"start": 1582.13, "end": 1582.97, "word": " برضه", "probability": 0.8889973958333334}, {"start": 1582.97, "end": 1583.21, "word": " عدد", "probability": 0.990234375}, {"start": 1583.21, "end": 1583.51, "word": " مرات", "probability": 0.9860026041666666}, {"start": 1583.51, "end": 1583.91, "word": " ظهره", "probability": 0.97119140625}, {"start": 1583.91, "end": 1584.35, "word": " اتنين", "probability": 0.9844970703125}, {"start": 1584.35, "end": 1585.39, "word": " وفي", "probability": 0.920166015625}, {"start": 1585.39, "end": 1585.61, "word": " عند", "probability": 0.91455078125}, {"start": 1585.61, "end": 1585.77, "word": " ال", "probability": 0.9638671875}, {"start": 1585.77, "end": 1586.07, "word": " pattern", "probability": 0.96337890625}, {"start": 1586.07, "end": 1586.81, "word": " التالت", "probability": 0.98095703125}, {"start": 1586.81, "end": 1587.29, "word": " اللي", "probability": 0.7296142578125}, {"start": 1587.29, "end": 1587.43, "word": " هو", "probability": 0.9833984375}, {"start": 1587.43, "end": 1588.29, "word": " I2", "probability": 0.99560546875}, {"start": 1588.29, "end": 1589.87, "word": " I1", "probability": 0.964111328125}], "temperature": 1.0}, {"id": 61, "seek": 161857, "start": 1590.67, "end": 1618.57, "text": "I5 اللي هو الـ combination عفوًا لهم كلهم لأن هذه frequent وهذه frequent فلما نضفهم مع بعض هيكون في عندي frequent وهي ال pattern تبعتهم وبالتالي هذه هي ال generated frequent pattern اللي طلعت عندي كمان مرة نشوفها مع I4 I4 إيش عمليات الوصول اللي كانت إلها كانت من خلال 2 هذه البسارات I2 مباشرة لحالها", "tokens": [40, 20, 13672, 1829, 31439, 2423, 39184, 6562, 6225, 5172, 2407, 14111, 995, 5296, 16095, 28242, 16095, 5296, 33456, 29538, 18004, 37037, 24192, 18004, 6156, 1211, 15042, 8717, 11242, 5172, 16095, 20449, 45030, 11242, 39896, 30544, 8978, 18871, 16254, 18004, 37037, 1829, 2423, 5102, 6055, 3555, 34268, 16095, 46599, 6027, 2655, 6027, 1829, 29538, 39896, 2423, 10833, 18004, 5102, 13672, 1829, 23032, 1211, 34268, 18871, 16254, 9122, 2304, 7649, 3714, 25720, 8717, 8592, 38688, 11296, 20449, 286, 19, 286, 19, 11933, 1829, 8592, 6225, 2304, 20292, 9307, 2423, 2407, 9381, 12610, 13672, 1829, 25961, 2655, 11933, 1211, 11296, 25961, 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generated frequent patterns اللي انا اشتغلت عليهم اعمل ما بين ال patterns هدول عبارة عن ال association rules اللي موجودة عندها ال FP growth method transform the problem of finding long frequent patterns", "tokens": [3555, 6027, 2655, 6027, 1829, 29538, 2423, 39184, 659, 28242, 2423, 8294, 29538, 3714, 7435, 2304, 2407, 27884, 2423, 39184, 10833, 18004, 8294, 13672, 1829, 1975, 8315, 1975, 8592, 2655, 17082, 1211, 2655, 25894, 16095, 1975, 25957, 1211, 19446, 49374, 2423, 8294, 8032, 3215, 12610, 6225, 3555, 9640, 3660, 18871, 2423, 14598, 4474, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 11296, 2423, 36655, 4599, 3170, 4088, 264, 1154, 295, 5006, 938, 18004, 8294], "avg_logprob": -0.30299830154792684, "compression_ratio": 1.6113744075829384, "no_speech_prob": 0.0, "words": [{"start": 1818.72, "end": 1819.2, "word": "بالتالي", "probability": 0.859912109375}, {"start": 1819.2, "end": 1819.38, "word": " هذه", "probability": 0.263427734375}, {"start": 1819.38, "end": 1819.52, "word": " 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association", "probability": 0.83056640625}, {"start": 1830.56, "end": 1831.06, "word": " rules", "probability": 0.83837890625}, {"start": 1831.06, "end": 1831.44, "word": " اللي", "probability": 0.94384765625}, {"start": 1831.44, "end": 1832.1, "word": " موجودة", "probability": 0.9754638671875}, {"start": 1832.1, "end": 1832.64, "word": " عندها", "probability": 0.752197265625}, {"start": 1832.64, "end": 1833.48, "word": " ال", "probability": 0.75830078125}, {"start": 1833.48, "end": 1833.9, "word": " FP", "probability": 0.4853515625}, {"start": 1833.9, "end": 1834.3, "word": " growth", "probability": 0.64697265625}, {"start": 1834.3, "end": 1835.38, "word": " method", "probability": 0.94384765625}, {"start": 1835.38, "end": 1836.2, "word": " transform", "probability": 0.51806640625}, {"start": 1836.2, "end": 1836.5, "word": " the", "probability": 0.6298828125}, {"start": 1836.5, "end": 1836.88, "word": " problem", "probability": 0.9189453125}, {"start": 1836.88, "end": 1837.14, 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"word": " support", "probability": 0.99462890625}, {"start": 2112.2, "end": 2112.54, "word": " لإن", "probability": 0.6370442708333334}, {"start": 2112.54, "end": 2112.86, "word": " كل", "probability": 0.6513671875}, {"start": 2112.86, "end": 2112.98, "word": " ما", "probability": 0.8095703125}, {"start": 2112.98, "end": 2113.32, "word": " بيكبر", "probability": 0.97314453125}, {"start": 2113.32, "end": 2113.44, "word": " ال", "probability": 0.60595703125}, {"start": 2113.44, "end": 2113.82, "word": " support", "probability": 0.99609375}, {"start": 2113.82, "end": 2114.38, "word": " تقريبا", "probability": 0.98486328125}, {"start": 2114.38, "end": 2114.66, "word": " أداء", "probability": 0.8806966145833334}, {"start": 2114.66, "end": 2115.26, "word": " التنتين", "probability": 0.8346354166666666}, {"start": 2115.26, "end": 2116.36, "word": " بيصير", "probability": 0.9552001953125}, {"start": 2116.36, "end": 2118.08, "word": " واحد", "probability": 0.96337890625}, {"start": 2118.08, "end": 2119.22, "word": " تقريبا", "probability": 0.9966796875}], "temperature": 1.0}, {"id": 81, "seek": 214267, "start": 2122.63, "end": 2142.67, "text": "هنكمل كفاية التسديل اللي اتأخرنا حاجة في التسديل هذا لحضان و هكمل في الجزئية اللي ضايلة و هعرض عليكم بقى code بسيط في تطبيق ال association role خلال التسديل ان شاء الله تعالى كنت انا حضرته سابقا و هنمر على ال code مع بعض السلام عليكم و رحمة الله", "tokens": [3224, 1863, 24793, 1211, 9122, 5172, 995, 10632, 16712, 3794, 16254, 1211, 13672, 1829, 1975, 2655, 10721, 34740, 8315, 11331, 26108, 3660, 8978, 16712, 3794, 16254, 1211, 23758, 5296, 5016, 11242, 7649, 4032, 8032, 24793, 1211, 8978, 25724, 11622, 19986, 10632, 13672, 1829, 48812, 995, 26895, 3660, 4032, 8032, 3615, 43042, 25894, 24793, 4724, 4587, 7578, 3089, 4724, 3794, 1829, 9566, 8978, 6055, 9566, 21292, 4587, 2423, 14598, 3090, 16490, 1211, 6027, 16712, 3794, 16254, 1211, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 9122, 29399, 1975, 8315, 11331, 11242, 43500, 3224, 8608, 16758, 4587, 995, 4032, 8032, 1863, 29973, 15844, 2423, 3089, 20449, 45030, 11242, 21136, 37440, 25894, 24793, 4032, 12602, 35571, 3660, 21984], "avg_logprob": -0.30027174586835115, "compression_ratio": 1.8138528138528138, "no_speech_prob": 4.172325134277344e-07, "words": [{"start": 2122.63, "end": 2123.27, "word": "هنكمل", "probability": 0.6884765625}, {"start": 2123.27, "end": 2123.73, "word": " كفاية", "probability": 0.7484130859375}, {"start": 2123.73, "end": 2124.25, "word": " التسديل", "probability": 0.742919921875}, {"start": 2124.25, "end": 2124.37, "word": " اللي", "probability": 0.3909912109375}, {"start": 2124.37, "end": 2125.27, "word": " اتأخرنا", "probability": 0.68612060546875}, {"start": 2125.27, "end": 2127.03, "word": " حاجة", "probability": 0.5448404947916666}, {"start": 2127.03, "end": 2127.15, "word": " في", "probability": 0.90087890625}, {"start": 2127.15, "end": 2127.57, "word": " التسديل", "probability": 0.9664306640625}, {"start": 2127.57, "end": 2127.73, "word": " هذا", "probability": 0.355224609375}, {"start": 2127.73, "end": 2128.09, "word": " لحضان", "probability": 0.4378662109375}, {"start": 2128.09, "end": 2128.49, "word": " و", "probability": 0.447509765625}, {"start": 2128.49, "end": 2128.91, "word": " هكمل", "probability": 0.9269205729166666}, {"start": 2128.91, "end": 2128.99, "word": " في", "probability": 0.80615234375}, {"start": 2128.99, "end": 2129.37, "word": " الجزئية", "probability": 0.92333984375}, {"start": 2129.37, "end": 2129.51, "word": " اللي", "probability": 0.948974609375}, {"start": 2129.51, "end": 2129.83, "word": " ضايلة", "probability": 0.767333984375}, {"start": 2129.83, "end": 2129.91, "word": " و", "probability": 0.654296875}, {"start": 2129.91, "end": 2130.37, "word": " هعرض", "probability": 0.86181640625}, {"start": 2130.37, "end": 2130.73, "word": " عليكم", "probability": 0.92578125}, {"start": 2130.73, "end": 2130.99, "word": " بقى", "probability": 0.734130859375}, {"start": 2130.99, "end": 2131.23, "word": " code", "probability": 0.57421875}, {"start": 2131.23, "end": 2131.67, "word": " بسيط", "probability": 0.993408203125}, {"start": 2131.67, "end": 2131.81, "word": " في", "probability": 0.79541015625}, {"start": 2131.81, "end": 2132.47, "word": " تطبيق", "probability": 0.989013671875}, {"start": 2132.47, "end": 2132.71, "word": " ال", "probability": 0.8701171875}, {"start": 2132.71, "end": 2133.31, "word": " association", "probability": 0.734375}, {"start": 2133.31, "end": 2133.63, "word": " role", "probability": 0.4111328125}, {"start": 2133.63, "end": 2134.09, "word": " خلال", "probability": 0.9611002604166666}, {"start": 2134.09, "end": 2134.77, "word": " التسديل", "probability": 0.9891357421875}, {"start": 2134.77, "end": 2134.95, "word": " ان", "probability": 0.42431640625}, {"start": 2134.95, "end": 2135.17, "word": " شاء", "probability": 0.9736328125}, {"start": 2135.17, "end": 2135.31, "word": " الله", "probability": 0.9189453125}, {"start": 2135.31, "end": 2135.75, "word": " تعالى", "probability": 0.8606770833333334}, {"start": 2135.75, "end": 2136.15, "word": " كنت", "probability": 0.847900390625}, {"start": 2136.15, "end": 2136.25, "word": " انا", "probability": 0.578369140625}, {"start": 2136.25, "end": 2136.79, "word": " حضرته", "probability": 0.8839111328125}, {"start": 2136.79, "end": 2139.17, "word": " سابقا", "probability": 0.9619140625}, {"start": 2139.17, "end": 2139.47, "word": " و", "probability": 0.6259765625}, {"start": 2139.47, "end": 2140.65, "word": " هنمر", "probability": 0.9054361979166666}, {"start": 2140.65, "end": 2140.79, "word": " على", "probability": 0.59765625}, {"start": 2140.79, "end": 2140.93, "word": " ال", "probability": 0.8056640625}, {"start": 2140.93, "end": 2141.15, "word": " code", "probability": 0.95947265625}, {"start": 2141.15, "end": 2141.33, "word": " مع", "probability": 0.9921875}, {"start": 2141.33, "end": 2141.63, "word": " بعض", "probability": 0.994140625}, {"start": 2141.63, "end": 2141.99, "word": " السلام", "probability": 0.8720703125}, {"start": 2141.99, "end": 2142.29, "word": " عليكم", "probability": 0.880615234375}, {"start": 2142.29, "end": 2142.43, "word": " و", "probability": 0.97265625}, {"start": 2142.43, "end": 2142.57, "word": " رحمة", "probability": 0.7279459635416666}, {"start": 2142.57, "end": 2142.67, "word": " الله", "probability": 0.94775390625}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2143.2946875, "duration_after_vad": 2036.5834687499946}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..b68bcb42239f11f74ff9618730703e8cecc4bbcb
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_postprocess.srt
@@ -0,0 +1,1720 @@
+1
+00:00:02,650 --> 00:00:05,590
+باسم الله و الحمد لله الصلاة والسلام على رسول الله
+
+2
+00:00:05,590 --> 00:00:11,630
+أهلا وسهلا بكم حضرتنا التالية في مساق تنقيب
+
+3
+00:00:11,630 --> 00:00:15,350
+البيانات نتكلم على ال clustering كنا غطينا في
+
+4
+00:00:15,350 --> 00:00:17,530
+chapter ال clustering مفهوم ال clustering أنه
+
+5
+00:00:17,530 --> 00:00:20,970
+عبارة عن تقسيم ال data set اللي موجودة عندى
+
+6
+00:00:20,970 --> 00:00:25,570
+لمجموعات بناء على ال similarities أو التشابه ما
+
+7
+00:00:25,570 --> 00:00:29,680
+بين ال instances اللي موجودة فيهاو ذكرنا ان ال
+
+8
+00:00:29,680 --> 00:00:33,140
+clusterings ياخد واحدة من نوعين اما partitional
+
+9
+00:00:33,140 --> 00:00:36,540
+clusterings و هي عبارة عن مجموعة من ال clusters او
+
+10
+00:00:36,540 --> 00:00:39,980
+نعم مجموعة من ال clusters اللي بيكون ال disjoint
+
+11
+00:00:39,980 --> 00:00:42,920
+او التقاطعات بينهم صفر مافيش نقاط مشترك ما بينهم
+
+12
+00:00:42,920 --> 00:00:48,440
+وبالتالي كل element موجود في cluster واحد فقط وفي
+
+13
+00:00:48,440 --> 00:00:51,760
+عندنا حكينا انه في عندنا .. وشوفنا على المثال هذا
+
+14
+00:00:51,760 --> 00:00:56,360
+على مثل partitional k-means واتكلمنا عليه بالتفصيل
+
+15
+00:00:57,340 --> 00:01:00,400
+هو المحاضرة ان شاء الله تبارك وتعالى هنتكلم على
+
+16
+00:01:00,400 --> 00:01:03,960
+النوع التاني من ال clustering اللي هو ال
+
+17
+00:01:03,960 --> 00:01:08,840
+hierarchical clustering ان شاء الله تعالىعندما
+
+18
+00:01:08,840 --> 00:01:11,580
+نتكلم عن hierarchical clustering يعني أننا نتكلم
+
+19
+00:01:11,580 --> 00:01:16,640
+عن clustering تجميعي الفكرة فيه أنه عندما نتكلم عن
+
+20
+00:01:16,640 --> 00:01:19,560
+agglomerative الهيراريكال أو الـ agglomerative
+
+21
+00:01:19,560 --> 00:01:24,220
+السيان لأن كل الهيراريكال يتعلق بال agglomerative
+
+22
+00:01:24,220 --> 00:01:28,280
+يعني تجميعي agglomerative cross-clustering عادة
+
+23
+00:01:28,280 --> 00:01:33,440
+نشير لكل ال clustering algorithmالتي تبني على نفس
+
+24
+00:01:33,440 --> 00:01:38,200
+المبدأ، وهو تجميع البيانات اللي موجودة عندها فكرة
+
+25
+00:01:38,200 --> 00:01:41,920
+الـ agglomerative clustering بشكل عام بتتركز أنه
+
+26
+00:01:41,920 --> 00:01:47,120
+بيبدأ بعرف أن كل نقطة ك cluster مستقل وبعد ذلك
+
+27
+00:01:47,120 --> 00:01:54,720
+يعمل merge أو combine لكل two similar clustersبناء
+
+28
+00:01:54,720 --> 00:01:57,080
+على ايش الـ Similarity Cluster معناته في عندي
+
+29
+00:01:57,080 --> 00:02:00,800
+Similarity Distance او Similarity Function زي ما
+
+30
+00:02:00,800 --> 00:02:04,180
+شوفناها في الـ Partitional لازم تطبق عندها وهذا
+
+31
+00:02:04,180 --> 00:02:08,500
+الـ Similarity Function هي اللي هتكون معيار دمج أو
+
+32
+00:02:08,500 --> 00:02:12,660
+رفض القبول دمج او رفض دمج ال two clusters اللي
+
+33
+00:02:12,660 --> 00:02:17,680
+موجودين عندى طبعا و هذا الكلام بيستمر لحد ما يتوصى
+
+34
+00:02:17,680 --> 00:02:25,300
+يتحقق عندي شرط توقف معينشغل التوقف يكون عبارة عن
+
+35
+00:02:25,300 --> 00:02:29,980
+عدد ال clusters اللي اتكلم عليه انا بدي اعمل دمش
+
+36
+00:02:29,980 --> 00:02:35,040
+دمش دمش لحد ما اصل ل 3 clusters فعليا ال data اللي
+
+37
+00:02:35,040 --> 00:02:38,820
+عندى هتبدأ من واحد واحد واحد واحد بعد هيك هيبدأ
+
+38
+00:02:38,820 --> 00:02:43,900
+يتجمعوا اخر تجميع اللي ممكن اجاف عندها لهي مفهوم
+
+39
+00:02:43,900 --> 00:02:46,140
+ان يكون عندى 3 clusters او 4 clusters او 10
+
+40
+00:02:46,140 --> 00:02:49,300
+clusters حسب الحاجة وبهيك انا فعليا هذا شرطي
+
+41
+00:02:49,300 --> 00:02:55,280
+التوقف اللي موجود عندهاأو فعلياً أنا فعلياً ماضلش
+
+42
+00:02:55,280 --> 00:02:59,060
+عندي شغلة أني أدمجها اندمجت كل البيانات لحد ما
+
+43
+00:02:59,060 --> 00:03:02,540
+صارت only one cluster بيحتوي كل ال sub clusters
+
+44
+00:03:02,540 --> 00:03:06,020
+اللي جاية بعد هيك طبعاً أنا في عندي linkage
+
+45
+00:03:06,020 --> 00:03:10,820
+criteria أو شرط الدمج أو سمينا linkage دلالة على
+
+46
+00:03:10,820 --> 00:03:13,760
+أنه أنا فعلياً ا cluster و بده أربطهم مع بعض بده
+
+47
+00:03:13,760 --> 00:03:18,860
+أحطهم في قالب أو عفوا في ضمن boundary واحدةطبعاً
+
+48
+00:03:18,860 --> 00:03:21,420
+عندما أتكلم عن الـ linkage criteria أو الـ linkage
+
+49
+00:03:21,420 --> 00:03:25,800
+function نفس المصطلح الـ similarity function للـ
+
+50
+00:03:25,800 --> 00:03:28,660
+clusters بس دائما عندما أتكلم عن ال similarity
+
+51
+00:03:28,660 --> 00:03:32,160
+بتكلم عن ال distance عفوا، بتكلم عن ال distance
+
+52
+00:03:32,160 --> 00:03:36,160
+لكن عندما أتكلم عن ال linkage criteria بتكلم عن ان
+
+53
+00:03:36,160 --> 00:03:41,840
+انا فعاليا بتكلم عن ال clustering بتكلم عن linkage
+
+54
+00:03:41,840 --> 00:03:45,040
+أو ربط ما بين ال clusters فعليا أنا بتكلم برضه عن
+
+55
+00:03:45,040 --> 00:03:49,410
+ال distanceوالـ distance هذه بتقاس مع كل ال
+
+56
+00:03:49,410 --> 00:03:52,090
+observations أو كل ال instances اللي موجودة عنده
+
+57
+00:03:52,090 --> 00:03:56,390
+وين في داخل ال cluster اللي موجود عندها فعليا انا
+
+58
+00:03:56,390 --> 00:04:03,710
+في عندي المجموعة من ال linkage criteriaوهذه الـ
+
+59
+00:04:03,710 --> 00:04:07,470
+linkage criteria بتحدد فعليًا هل هدول ال clusters
+
+60
+00:04:07,470 --> 00:04:13,390
+similar أم لا وبالتالي يعني بالخلاصة فكرة ال
+
+61
+00:04:13,390 --> 00:04:16,590
+agglomerative أو ال hierarchical clustering بتبدأ
+
+62
+00:04:16,590 --> 00:04:20,890
+أن كل نقطة عبارة عن cluster مستقل وبعد هيك بصير
+
+63
+00:04:20,890 --> 00:04:25,810
+ادمج ما بين كل two clustersالشرط الدمج أنه في عندى
+
+64
+00:04:25,810 --> 00:04:28,530
+شغل بنسميها ال linkage criteria أو ال linkage
+
+65
+00:04:28,530 --> 00:04:31,610
+distance أو ال linkage function اللي هي شرط الدمج
+
+66
+00:04:31,610 --> 00:04:36,270
+هنا وهي عبارة عن distance major لكن مش مع نقطة مع
+
+67
+00:04:36,270 --> 00:04:39,250
+cluster وبالتالي ممكن انا اخد نقطة نوبة على ال
+
+68
+00:04:39,250 --> 00:04:43,350
+cluster ممكن اخد الكل cluster وحنشوف ال different
+
+69
+00:04:43,350 --> 00:04:49,630
+linkage criterionاللي موجودة عندنا نبدأ مع اول ال
+
+70
+00:04:49,630 --> 00:04:54,590
+linkage criteria ال criteria اللي هي ال criterion
+
+71
+00:04:54,590 --> 00:04:57,450
+اللي هي ال single و لما انا بتكلم على single
+
+72
+00:04:57,450 --> 00:05:04,970
+linkage بتكلم انه انا فعليا بادور على اقصر pair
+
+73
+00:05:04,970 --> 00:05:09,500
+يعني بين جثين عمالي بأحسنالـ point اللي انا فيه
+
+74
+00:05:09,500 --> 00:05:13,940
+عندى two clusters زي .. زي ما ال .. اوكي خليني مش
+
+75
+00:05:13,940 --> 00:05:17,180
+مشكلة برجع فيه عندى انا هنا two clusters two
+
+76
+00:05:17,180 --> 00:05:20,600
+clusters و في ال two clusters هدول انا بروح بادور
+
+77
+00:05:20,600 --> 00:05:25,220
+على كل النقاط يعني بحسب النقطة هاي مع كل ال
+
+78
+00:05:25,220 --> 00:05:28,180
+distances الموجودة في كل الأحوال يا جماعة الخير ال
+
+79
+00:05:28,180 --> 00:05:34,420
+distances هتنحسب ما بين كل عناصرالـ cluster و كذلك
+
+80
+00:05:34,420 --> 00:05:38,380
+high يعني انت تخيلها fully connected distances او
+
+81
+00:05:38,380 --> 00:05:41,580
+تخيلوها معايا fully connected area فبتحسب كل ال
+
+82
+00:05:41,580 --> 00:05:46,920
+distances اللي موجودة عندها الان ال pair pair of
+
+83
+00:05:46,920 --> 00:05:51,820
+clusters اللي بحققه اقصر مسافة بين اي two pair من
+
+84
+00:05:51,820 --> 00:05:56,640
+النقاط اللي موجودة عندها باخده على انه اللي هو ال
+
+85
+00:05:56,640 --> 00:06:01,360
+يعني عمل home dungeon يعني لو انا بدى اعيد تاني
+
+86
+00:06:04,190 --> 00:06:06,570
+لو انا افترض ان انا في عندهان three different
+
+87
+00:06:06,570 --> 00:06:15,230
+clusters لو
+
+88
+00:06:15,230 --> 00:06:22,170
+كان انا في عندهان another cluster و ال cluster ده
+
+89
+00:06:22,170 --> 00:06:28,230
+فيه مجموعة من النقاط تبدأ
+
+90
+00:06:28,230 --> 00:06:31,170
+المسافات تنحسب ما بين كل النقاط اللي موجودة في كل
+
+91
+00:06:31,170 --> 00:06:37,190
+اتجاهات من كل نقطةالـ pair of clusters اللي بتحقق
+
+92
+00:06:37,190 --> 00:06:41,910
+أقصر مسافة بين أي نقطين موجودات فيهم بنعتمد أن
+
+93
+00:06:41,910 --> 00:06:45,250
+هدول ال clusters في حين أن أنا فيها عندي هنا في
+
+94
+00:06:45,250 --> 00:06:50,490
+pair قوي بعيد جدا و أنا مابدورش هنا بدور على أقصر
+
+95
+00:06:50,490 --> 00:06:54,850
+المسافات يعني الآن هدول الأقرب نقطين لبعض هيهم
+
+96
+00:06:54,850 --> 00:07:01,800
+بأقارن المسافة هذه ومسافة هذهمين اقصر المسافة هذه
+
+97
+00:07:01,800 --> 00:07:05,920
+اقصر معناته هذين الاتنين بنعمل لهم دمج مع بعضهم
+
+98
+00:07:05,920 --> 00:07:09,020
+على انهم هدول ايش بدون يصيروا ال next level او ال
+
+99
+00:07:09,020 --> 00:07:12,940
+next cluster هذه فكرة كمان مرة ال single linkage
+
+100
+00:07:12,940 --> 00:07:17,060
+طبعا احنا ليش بحاول اوضحها هان اكتر لان فعليا احنا
+
+101
+00:07:17,060 --> 00:07:21,660
+محتاجين نفهمها كويس لان انا فعليا بدي كل النقاط
+
+102
+00:07:21,660 --> 00:07:26,230
+اللي موجودةتكون داخلة في الحسبة بنرجع كمان مرة في
+
+103
+00:07:26,230 --> 00:07:28,970
+عندي انا single linkage و single linkage بعمل
+
+104
+00:07:28,970 --> 00:07:32,270
+combine ل two clusters لما بيكون فيهم ال shortest
+
+105
+00:07:32,270 --> 00:07:37,610
+pair لما يكون في عندي انا فعليا ال .. ده البيانات
+
+106
+00:07:37,610 --> 00:07:42,390
+تبعتي اصغر
+
+107
+00:07:42,390 --> 00:07:46,630
+مايمكن ال minimum distance between any pair بشرط
+
+108
+00:07:46,630 --> 00:07:49,870
+ان هدول ال pair مايكونوش تمدمجهم مسبقا طبعا
+
+109
+00:07:53,060 --> 00:07:58,420
+كمان مرة لو انا افترضت ان هنا في عندى another
+
+110
+00:07:58,420 --> 00:08:02,020
+cluster و
+
+111
+00:08:02,020 --> 00:08:06,580
+ال cluster هي و هي هي النقاط اللي موجودة دائما
+
+112
+00:08:06,580 --> 00:08:10,900
+دائما في عملية و هنا في كمان واحد دائما في عملية
+
+113
+00:08:10,900 --> 00:08:14,620
+الدمج بروح
+
+114
+00:08:14,620 --> 00:08:18,140
+بدور لما بتكلم عن ال single linkage بروح بدور على
+
+115
+00:08:18,140 --> 00:08:20,820
+أقصر مسافة هدول أقرب نقطين بحسب ال distance بينهم
+
+116
+00:08:21,540 --> 00:08:24,920
+هو كيف بده يدور على أنه أقرب نقطين هو فعليا بتم
+
+117
+00:08:24,920 --> 00:08:28,340
+حسب ال distance ما بين كل العناصر اللي في ال
+
+118
+00:08:28,340 --> 00:08:31,800
+clusters يعني النقطة هذه مع كل العناصر اللي موجودة
+
+119
+00:08:31,800 --> 00:08:37,660
+هنا وبيعتمد أقصر مسافة النقطة كل العناصر كل النقاط
+
+120
+00:08:37,660 --> 00:08:40,880
+اللي هنا مع كل النقاط اللي هنا وبيعتمد أقصر مسافة
+
+121
+00:08:40,880 --> 00:08:46,220
+وبالتاليلو انا هذه النقطة هيروح حسبها المعاليين
+
+122
+00:08:46,220 --> 00:08:50,440
+كمان و بيعتمد هذه اقصر مسافة الان هي مسافة تنتين
+
+123
+00:08:50,440 --> 00:08:54,460
+تلاتة هدولة اقصر اقصر واحدة فيهم هدق هذه بيروح
+
+124
+00:08:54,460 --> 00:09:00,800
+بعملي damage لمين لهدول اصحاب single linkage بتمنى
+
+125
+00:09:00,800 --> 00:09:02,260
+تكون الفكرة وصلت
+
+126
+00:09:12,500 --> 00:09:15,880
+الـ criterion التاني اللي موجودة عندي أنا اللي هي
+
+127
+00:09:15,880 --> 00:09:21,140
+ال average وال average هنا بتتكلم على انه انا
+
+128
+00:09:21,140 --> 00:09:24,500
+بيعمل merge لل two clusters اللي اللهم shortest
+
+129
+00:09:24,500 --> 00:09:28,820
+average distance shortest average distance يعني
+
+130
+00:09:28,820 --> 00:09:36,200
+ايش اللي هيصير بعد ما راح حسب كل ال distances بين
+
+131
+00:09:36,200 --> 00:09:37,060
+كل النقاط
+
+132
+00:09:58,300 --> 00:10:01,740
+بين كل النقاط ايش بروح بيساوي بياخد ال average
+
+133
+00:10:01,740 --> 00:10:05,660
+تبعت ال distance لاحظوا انا في كل مرة بيعمل
+
+134
+00:10:05,660 --> 00:10:09,540
+marriage ل two clusters فقط تمام بيعمل marriage ل
+
+135
+00:10:09,540 --> 00:10:13,680
+two clusters فقط فهو بروح بحسب كل ال averages او
+
+136
+00:10:13,680 --> 00:10:17,520
+بحسب كل ال distances و بياخد ال average في ال
+
+137
+00:10:17,520 --> 00:10:20,080
+simple linkage او عفوا في ال single انا غلطان هنا
+
+138
+00:10:20,080 --> 00:10:23,260
+في الكتابة طبعا simple linkage
+
+139
+00:10:38,990 --> 00:10:50,390
+single single linkage سامحوني
+
+140
+00:10:50,390 --> 00:10:54,090
+هذه أسهل حاجة اعملها الآن لان انا حولت لصورة و
+
+141
+00:10:54,090 --> 00:11:04,190
+بديش ارجع اعيد نفس ال .. okay shift
+
+142
+00:11:04,190 --> 00:11:08,490
+F5بنتكلم هنا إنه أنا بتكلم على ال single linkage
+
+143
+00:11:08,490 --> 00:11:12,010
+أخدت أقصر لكن هان حسبت كل النقاط وبالتالي أخدت ال
+
+144
+00:11:12,010 --> 00:11:14,570
+average عشان اذا حاولت أرسم السهم هان يمثل لل
+
+145
+00:11:14,570 --> 00:11:21,990
+center تبع ال clusters اللي موجودين عندها هذه
+
+146
+00:11:21,990 --> 00:11:28,730
+ال average بالنسبة ل ال ال complete بياخد ال
+
+147
+00:11:28,730 --> 00:11:34,150
+maximum linkage بياخد .. بيعتمد .. من وين أطول ..
+
+148
+00:11:34,150 --> 00:11:39,200
+أبعد نقطينأقصر مسافة بين أبعد مقطين بروحيش بروح
+
+149
+00:11:39,200 --> 00:11:42,100
+مالهم جنج
+
+150
+00:11:43,400 --> 00:11:47,280
+يعني لو انا اتيت هنا هذه العناصر اللي موجودة عندها
+
+151
+00:11:47,280 --> 00:11:50,480
+بحسب كل ال distances اللي موجودة عندها بكل
+
+152
+00:11:50,480 --> 00:11:55,060
+الاتجاهات مع كل ال clusters هذه أقصر يعني هدول
+
+153
+00:11:55,060 --> 00:11:58,580
+أبعد نقطين نعم لكن هدى ال distance اللي بين ال two
+
+154
+00:11:58,580 --> 00:12:03,040
+clusters هدول هي عبارة عن أقصر مسافة مماثلة مع
+
+155
+00:12:03,040 --> 00:12:06,200
+different clusters فبقرر انه يعمل merge لل
+
+156
+00:12:06,200 --> 00:12:11,060
+clusters اللي موجودين عندهاالنوع التالت اللي هو ال
+
+157
+00:12:11,060 --> 00:12:15,020
+word ال word ال word او ال word ال word لما انا
+
+158
+00:12:15,020 --> 00:12:21,520
+بتكلم هنا بتكلم عن ال word القسم هنا بدور النوبلهو
+
+159
+00:12:21,520 --> 00:12:27,820
+يعمل ميرج لـ two clusters لما يقلل
+
+160
+00:12:27,820 --> 00:12:31,160
+الـ variance بين ال clusters الموجودة يقلل
+
+161
+00:12:31,160 --> 00:12:35,080
+الاختلافات بين ال clusters يعني هو الان بيحسب كل
+
+162
+00:12:35,080 --> 00:12:39,460
+النقاط كل ال distances اللي موجودة عنده بيحسب كل
+
+163
+00:12:39,460 --> 00:12:43,380
+ال distances و بيحسب كل ال distances و بيحاول يشوف
+
+164
+00:12:43,380 --> 00:12:48,720
+مين أقرب cluster في الاختلافاتفي ال elements اللي
+
+165
+00:12:48,720 --> 00:12:53,240
+موجود عنده هان و بروح بدمجلي اياهم يعني هو اش مروح
+
+166
+00:12:53,240 --> 00:12:54,420
+بساوي بكل بساطة
+
+167
+00:12:58,220 --> 00:13:01,320
+بعد ما بروح بحسب بحسب كل ال areas بحسب ال variance
+
+168
+00:13:01,320 --> 00:13:04,540
+هنا الإختلاف و ال variance اللي هنا مع ال cluster
+
+169
+00:13:04,540 --> 00:13:09,200
+التالت ال variance و أقل clusters في اختلاف ال
+
+170
+00:13:09,200 --> 00:13:13,340
+variance اللي بينهم بروح بدمجهم ليش عشان يحافظ على
+
+171
+00:13:13,340 --> 00:13:17,240
+التشابه ما بين ال two different clusters يعني انت
+
+172
+00:13:17,240 --> 00:13:21,220
+تخيل ان في عندك cluster كبير جدا و عندك cluster
+
+173
+00:13:21,220 --> 00:13:25,250
+صغير جداهدول ال two clusters صعب انهم يدمجوا ليش؟
+
+174
+00:13:25,250 --> 00:13:28,690
+مع ال word لأنهم فعليا ال variance تبعتهم عالية
+
+175
+00:13:28,690 --> 00:13:32,190
+جدا فهو بروح بدور على ال clusters المشابهة بداخله
+
+176
+00:13:32,190 --> 00:13:36,730
+by default بالمناسبة ال word هي ال default linkage
+
+177
+00:13:36,730 --> 00:13:41,290
+cluster المول وعادة لما انا بأتكلم على ال word
+
+178
+00:13:41,290 --> 00:13:42,930
+linkage criteria
+
+179
+00:13:46,150 --> 00:13:51,110
+الـ Cluster الناتجة عادة بتكون متقاربة في الأحجام
+
+180
+00:13:51,110 --> 00:13:56,210
+يعني بين جثين أنه ال data أو عدد العناصر اللي
+
+181
+00:13:56,210 --> 00:14:01,510
+موجودة في كل ال clusters بتكون متقاربة طيب الفكرة
+
+182
+00:14:01,510 --> 00:14:04,130
+في ال agglomerate بشكل عام هي كل ال data موجودة
+
+183
+00:14:04,130 --> 00:14:07,430
+عندى قلنا ال initial كل واحدة عبارة عن cluster
+
+184
+00:14:07,430 --> 00:14:12,130
+فببدأ يروح يدور على المسافات بين كل النقاط
+
+185
+00:14:16,240 --> 00:14:19,540
+بين كل النقاط و برجع بأكد هذه في كل مرة الحسبة
+
+186
+00:14:19,540 --> 00:14:26,480
+بتتم في كل
+
+187
+00:14:26,480 --> 00:14:30,240
+الاتجاهات و في الآخر هيلاقي ان هدول النقطين أقصر
+
+188
+00:14:30,240 --> 00:14:33,640
+distance موجودة بينهم فإيش هيروح يساوي هيروح يضمهم
+
+189
+00:14:33,640 --> 00:14:38,640
+لو اني cluster تمام في الخطوة التالية هيستثني هذه
+
+190
+00:14:38,640 --> 00:14:43,380
+و يدور في نفس كل clusters اقرب two clusters هيبدأ
+
+191
+00:14:43,380 --> 00:14:44,300
+يجمعهم
+
+192
+00:14:46,800 --> 00:14:53,500
+بعدين هايهم ليش دمج هدول لأن المسافة بين هدول أقصر
+
+193
+00:14:53,500 --> 00:14:57,360
+ما بين النقطة هذه والنقطة هذه وإلا كانش كان راح
+
+194
+00:14:57,360 --> 00:15:00,260
+دمج ليها على أن هذه عبارة عن cluster اللي بيحتوي
+
+195
+00:15:00,260 --> 00:15:03,260
+على نقطة واحدة مع ال single linkage criteria هي
+
+196
+00:15:03,260 --> 00:15:08,380
+shortest distance فراح فعليا دمج النقطة هايوبتبدأ
+
+197
+00:15:08,380 --> 00:15:11,820
+عملية الدمج تتوسع واحدة ورا التانية لحد ما يكون كل
+
+198
+00:15:11,820 --> 00:15:15,540
+النقاط اتوصلت أو او او او على الأقل انا وصلت لعدد
+
+199
+00:15:15,540 --> 00:15:18,260
+ال clusters المطلوب لو كان مثلا تلاتة بكون انا هذه
+
+200
+00:15:18,260 --> 00:15:21,380
+ال destination تبعتي انه حصلت انه على three
+
+201
+00:15:21,380 --> 00:15:25,240
+different clusters ولاحظوا عملية ال merge و ورا
+
+202
+00:15:25,240 --> 00:15:28,500
+التانية كل ما انا بدمج العناصر مع بعضها بتظهر ال
+
+203
+00:15:28,500 --> 00:15:32,980
+MDHالـ agglomerative لكن يا جماعة الخير في الـ
+
+204
+00:15:32,980 --> 00:15:37,000
+agglomerative هان هي الأساس للهيراريكال هي الأساس
+
+205
+00:15:37,000 --> 00:15:39,840
+للهيراريكال لكن مش هي الهيراريكال ليش؟ لأنه
+
+206
+00:15:39,840 --> 00:15:42,800
+بالهيراريكال لاحظوا أو بال .. بال agglomerative
+
+207
+00:15:42,800 --> 00:15:46,680
+أنه أنا في النهاية هان الكل two clusters بعملهم
+
+208
+00:15:46,680 --> 00:15:52,040
+دمج مع بعضهم بتزول الحدود اللي ما بينهم يعني لما
+
+209
+00:15:52,040 --> 00:15:57,700
+أنا كنت هانهذه نقطة و تنتين وهذه نقطة و تنتين و
+
+210
+00:15:57,700 --> 00:16:00,860
+هذه
+
+211
+00:16:00,860 --> 00:16:06,560
+نقطة و تنتين و هذه نقطة و تنتين و هذه نقطة و تنتين
+
+212
+00:16:06,560 --> 00:16:07,980
+و هذه نقطة و تنتين و هذه نقطة و تنتين و هذه نقطة و
+
+213
+00:16:07,980 --> 00:16:08,180
+تنتين و هذه نقطة و تنتين و هذه نقطة و تنتين و هذه
+
+214
+00:16:08,180 --> 00:16:13,360
+تنتين و هذه نقطة و تنتين و هذه نقطة و تنتين و هذه
+
+215
+00:16:13,360 --> 00:16:18,260
+نقطة و
+
+216
+00:16:18,260 --> 00:16:29,980
+تنتين و هذه نقطة و تنتين و هذه نقطة ووهادي هيك حسب
+
+217
+00:16:29,980 --> 00:16:43,240
+متى مرسمهم سابقا وهادي هيك بعدين هيك وهادي
+
+218
+00:16:43,240 --> 00:16:50,780
+طبعا هنا هيك لأنه تم دمجهم مرة تانية النقطين
+
+219
+00:16:50,780 --> 00:16:52,020
+هدولة كانوا في الأول
+
+220
+00:16:57,340 --> 00:17:00,400
+لو الرسم يبقى معايا بالشكل هذا يعني ان انا عارف من
+
+221
+00:17:00,400 --> 00:17:04,760
+اين بدأت كل اتنين صارت موجودة طبعا لما اتكلم ..
+
+222
+00:17:04,760 --> 00:17:09,140
+لما اروح بالتفصيل بالـ Hierarchical Clustering الـ
+
+223
+00:17:09,140 --> 00:17:12,320
+Hierarchical Clustering نفس .. نفس الكلام يعني انه
+
+224
+00:17:12,320 --> 00:17:18,240
+يحتاج كل pointهي هتدخل برحلة انها cluster مستقلة
+
+225
+00:17:18,240 --> 00:17:22,860
+ذاتها و هتنتمي لآخر cluster يعني هاي الفرق الأساسي
+
+226
+00:17:22,860 --> 00:17:26,000
+ما بين ال agglomerative و ال hierarchical بال
+
+227
+00:17:26,000 --> 00:17:31,160
+agglomerative فعليا راح دمجلي اياهم لكن في المحصلة
+
+228
+00:17:31,160 --> 00:17:34,280
+الأخيرة يا جماعة الخير انا حصلت على partitional
+
+229
+00:17:34,280 --> 00:17:37,920
+clustering ملاحظين هنا الرسمة الأخيرة في step 9 هي
+
+230
+00:17:37,920 --> 00:17:41,180
+عبارة عن partitional لأن مافيش عندى عناصر
+
+231
+00:17:51,050 --> 00:17:56,350
+لكن في الهيراريكال لأ انا ممكن احافظ على ان
+
+232
+00:17:56,350 --> 00:18:02,330
+العناصر التابعة تكون disjoint لحد level معين طيب
+
+233
+00:18:02,330 --> 00:18:05,870
+الآن زي ما قلنا هذه هي الرسمة اللي ممكن اعتمد عليه
+
+234
+00:18:05,870 --> 00:18:09,390
+هو اقول ان والله هذه اش انا بفهم من هدول ان كل
+
+235
+00:18:09,390 --> 00:18:16,390
+واحدة هدولة كانت بالشكل هذا1 و 4 اندمجت معاهم 2 و
+
+236
+00:18:16,390 --> 00:18:22,090
+8 اندمجت معاهم 3 و 5 مستقلة 01 و 12 اندمجت معاهم 5
+
+237
+00:18:22,090 --> 00:18:28,190
+و 6 و 9 اندمجت معاهم 7 و 10 اندمجت معاهم 7 و 10
+
+238
+00:18:28,190 --> 00:18:28,470
+اندمجت معاهم 7 و 10 اندمجت معاهم 7 و 10 اندمجت
+
+239
+00:18:28,470 --> 00:18:28,830
+معاهم 7 و 10 اندمجت معاهم 7 و 10 اندمجت معاهم 7 و
+
+240
+00:18:28,830 --> 00:18:29,230
+10 اندمجت معاهم 7 و 10 اندمجت معاهم 7 و 10 اندمجت
+
+241
+00:18:29,230 --> 00:18:29,590
+10 اندمجت معاهم 7 و 10 اندمجت معاهم 7 و 10 اندمجت
+
+242
+00:18:29,590 --> 00:18:33,470
+معاهم 7 و 10 اندمجت معاهم 7 و 10 اندمجت معاهم 7 و
+
+243
+00:18:33,470 --> 00:18:39,300
+10 اندمجت معاهم 7 و 10 اندمولكن لو أخدت نظرة
+
+244
+00:18:39,300 --> 00:18:44,920
+جانبية يعني أنني أتعرف على شغلة اسمها الـ
+
+245
+00:18:44,920 --> 00:18:49,200
+Dendogram الـ Dendogram عبارة عن رسم تخطيطي يخدمني
+
+246
+00:18:49,200 --> 00:18:55,140
+في فهمي البيانات الموجودةعندها ال visualization
+
+247
+00:18:55,140 --> 00:18:58,080
+مهم جدًا عشان انا اقدر اشوف و افهم العناصر اللي
+
+248
+00:18:58,080 --> 00:19:03,620
+موجودة في موضوع ال ال hierarchical clustering و ال
+
+249
+00:19:03,620 --> 00:19:09,000
+dendrogram اللي بدها اتمثلها وبالتالي و لما ال
+
+250
+00:19:09,000 --> 00:19:13,000
+visualization بديني detailed view لل hierarchical
+
+251
+00:19:13,000 --> 00:19:16,380
+clustering معناته هي ما زالت في ال two dimensional
+
+252
+00:19:16,380 --> 00:19:22,180
+أساسًا اللي موجودة وبالتالي أنا عماليبقى أشتغل و
+
+253
+00:19:22,180 --> 00:19:26,500
+بقى أسأل و عمّالة بنحاول نرسم الـ Dendrogram انت
+
+254
+00:19:26,500 --> 00:19:30,140
+تخيل الرسمة معايا لو زهرت معايا بالشكل هذا طبعا
+
+255
+00:19:30,140 --> 00:19:33,640
+هدول الرسمتين للـ Dendrogram هم الأساس اللي موجود
+
+256
+00:19:33,640 --> 00:19:36,640
+عندي هان الأولى هذه زي ما قلت لك هي عبارة عن
+
+257
+00:19:36,640 --> 00:19:40,420
+الصورة العمودية من فوق ال clusters وشوفت التجميعات
+
+258
+00:19:40,420 --> 00:19:45,020
+بينما هان انا بأتكلم انه انا بشوف ال data كلها في
+
+259
+00:19:45,020 --> 00:19:49,240
+ال 2D بشوفها من نظرة جانبية وهذا الرسمة هي عبارة
+
+260
+00:19:49,240 --> 00:19:52,520
+عن ال Dendrogramالان فكرة الـ Dendrogram أو الـ
+
+261
+00:19:52,520 --> 00:19:56,120
+Hierarchical Clustering الأساسية ان انا بقدر احصي
+
+262
+00:19:56,120 --> 00:20:00,680
+على اي عدد من ال clusters انا محتاجه يعني تخيل انا
+
+263
+00:20:00,680 --> 00:20:04,620
+محتاج three clusters و بقى كل خط عمودي في الرسمة
+
+264
+00:20:04,620 --> 00:20:10,180
+بمثل cluster بدي three clusters هيهم بدي اتنين
+
+265
+00:20:10,180 --> 00:20:16,120
+هيهم لاحظ؟ ليش؟ لأن انا فعليا هدول كلهم مع بعض
+
+266
+00:20:17,510 --> 00:20:21,190
+عبارة عن cluster وهدول مع بعض عبارة عن cluster
+
+267
+00:20:21,190 --> 00:20:27,750
+تاني رسمت العمود مع العناصر اللي موجودة عندها بدك
+
+268
+00:20:27,750 --> 00:20:34,750
+تلاتة هدول التلاتة بصيروا مع بعضهم إذا
+
+269
+00:20:34,750 --> 00:20:39,770
+أنا بدي أتكلم على three clusters يعني هاي واحد
+
+270
+00:20:39,770 --> 00:20:44,030
+العشرة معاهم طبعا اتنين
+
+271
+00:20:48,010 --> 00:20:55,110
+و هاي تلاتة ممكن بدي أكتر؟ اه ممكن بس ايه بدي ازال
+
+272
+00:20:55,110 --> 00:21:01,330
+ال scale تبع عدد ال cluster لتحت جداش
+
+273
+00:21:01,330 --> 00:21:10,890
+بدي يكون مثلا لو نزلت عدد ال cluster لهيك
+
+274
+00:21:10,890 --> 00:21:14,690
+يعني انا بتكلم على single cluster واحد
+
+275
+00:21:17,600 --> 00:21:25,440
+لأ مش واحد الان هاى عندك انا واحد هذا
+
+276
+00:21:25,440 --> 00:21:32,020
+اتنين هذا تلاتة عشر على حالها هذه اربعة انا هاى
+
+277
+00:21:32,020 --> 00:21:37,480
+بتكلم انا على four clusters بناء على النقطة اللى
+
+278
+00:21:37,480 --> 00:21:43,410
+اخترتهاأهم شغلة في الموضوع أنه أنا فعليا لما بحصل
+
+279
+00:21:43,410 --> 00:21:46,690
+على ال dendrogram بقدر أحصل على أي عدد من ال
+
+280
+00:21:46,690 --> 00:21:50,410
+cluster أنا بدياه بدي أرجع كمان مرة أجي أقول والله
+
+281
+00:21:50,410 --> 00:21:57,490
+أنا هاي بدي .. لو أنا افترضت أنه أنا هنا هذا الخط
+
+282
+00:21:57,490 --> 00:22:03,590
+تبعي عفوا
+
+283
+00:22:03,590 --> 00:22:05,630
+اللي رسمتي مش ظابط كتير
+
+284
+00:22:12,280 --> 00:22:15,960
+لو انا مشيت هنا و قلت انا هايت مع الاتنين هنا بدي
+
+285
+00:22:15,960 --> 00:22:22,820
+امشي okay
+
+286
+00:22:22,820 --> 00:22:26,240
+أحسن من الأول لو أنا سألك عند الخط هذا كام cluster
+
+287
+00:22:26,240 --> 00:22:29,940
+انا بحقق انا بقدر اقول بتكلم على four clusters
+
+288
+00:22:29,940 --> 00:22:41,220
+four clusters هاي واحد بيجمع واحد و أربعة تاني ايو
+
+289
+00:22:45,790 --> 00:22:56,350
+الثالث العشرة لحال و الرابع هايه هدول عفوا مش أربع
+
+290
+00:22:56,350 --> 00:23:03,050
+هدول خمسة خمسة clusters خمسة
+
+291
+00:23:03,050 --> 00:23:07,890
+clustersطبعاً في فايدة تانية من الـ dendrogram أنا
+
+292
+00:23:07,890 --> 00:23:10,810
+بقى أقدر أفهم أنه على الرغم أنه من ال cluster
+
+293
+00:23:10,810 --> 00:23:14,590
+الأخير هذا اللي فيه الـ 7 و 6 و 9 أدول ال element
+
+294
+00:23:14,590 --> 00:23:16,610
+في نفس ال cluster إلا غير أنه من خلال الـ
+
+295
+00:23:16,610 --> 00:23:21,370
+dendrogram بقدر أفهم أنه الـ 6 و 9 instances أقرب
+
+296
+00:23:21,370 --> 00:23:26,150
+لبعض من السبعة كذلك الصفر و ال 11 في ال cluster
+
+297
+00:23:26,150 --> 00:23:32,370
+التالت و ال 2 و 8 في ال cluster التانيعشان نقدر
+
+298
+00:23:32,370 --> 00:23:36,790
+نطبق المثال هذا في مثال مشهور جدا أخدته سابقا من
+
+299
+00:23:36,790 --> 00:23:38,990
+الـ slide الخاصة بالدكتور علاء الله يجزي الخير
+
+300
+00:23:38,990 --> 00:23:42,230
+المثال
+
+301
+00:23:42,230 --> 00:23:49,430
+المشهور برضه، أنا في عندي الخريطة إيطاليا وبدي
+
+302
+00:23:49,430 --> 00:23:56,280
+اعتبر أن المدن هذه بمثابة Clusteringهو انا ال
+
+303
+00:23:56,280 --> 00:23:59,660
+clusters و بدي اروح اعمل ما بينهم merge عشان اشوف
+
+304
+00:23:59,660 --> 00:24:05,020
+اقرب المدن لبعضهم باعتمادني على ال single linkage
+
+305
+00:24:05,020 --> 00:24:15,120
+criterion single linkage criterion الان عفوا لما
+
+306
+00:24:15,120 --> 00:24:19,800
+انا بتكلم هذه رموز للولايات او المدن في ايطاليا
+
+307
+00:24:19,800 --> 00:24:22,980
+طبعا في ناس اللي راحت ايطاليا ما بينكوا لان انتوا
+
+308
+00:24:22,980 --> 00:24:30,150
+فرحانينبس أكيد بارمة
+
+309
+00:24:30,150 --> 00:24:39,190
+مش من ضمنهم و لا موجودة هي بارمة طيب الآن فعليا ال
+
+310
+00:24:39,190 --> 00:24:43,710
+contingency matrix بتجيب اللي بتجيه عبارة عن
+
+311
+00:24:46,160 --> 00:24:50,160
+Symmetric Matrix وفيها كل العناصر اللي موجودة
+
+312
+00:24:50,160 --> 00:24:57,900
+عندهان وبناء عليها انا بدي اقرر الان بارما بارما
+
+313
+00:24:57,900 --> 00:25:04,620
+اقصر distance وين مع مين فانا فعليا بروح بدور على
+
+314
+00:25:04,620 --> 00:25:09,200
+ال shortest distance انا الان هان اوكي 250 و ببدأ
+
+315
+00:25:09,200 --> 00:25:13,580
+بقى ادور لكن لاجينا ان في مسافة اقصر منها موجودة
+
+316
+00:25:13,580 --> 00:25:13,800
+وين
+
+317
+00:25:16,920 --> 00:25:23,360
+بتربط Milano و TMI و TO وبالتالي هدولة أقصر
+
+318
+00:25:23,360 --> 00:25:26,720
+ملاحظين يا جماعة الخير أنا شوفت ال distance مع
+
+319
+00:25:26,720 --> 00:25:31,300
+الكل بين الكل ماعليش ماعتمدتش السفر لأنها مدينة مع
+
+320
+00:25:31,300 --> 00:25:33,460
+نفسها مابديش إياها ال cluster مع نفسه أو ال
+
+321
+00:25:33,460 --> 00:25:38,160
+instance مع نفسها لكن هان دلت أدور لحد ما لجيت
+
+322
+00:25:38,160 --> 00:25:42,820
+مسافة أصغر مسافة في كل المسافات اللي موجودة عندي
+
+323
+00:25:42,820 --> 00:25:52,650
+هان وبالتاليفعليا هذه المسافة هنا و
+
+324
+00:25:52,650 --> 00:26:01,150
+نفس الكلام mi مع كل المدن و fi مع كل المدن كل ال
+
+325
+00:26:01,150 --> 00:26:07,630
+possible distances حسبتها يعني اذا اتكلمت من mi
+
+326
+00:26:07,630 --> 00:26:18,920
+لbaمي بي ا هي تمنية سبعة وسبعين كيلو متر ففي الآخر
+
+327
+00:26:18,920 --> 00:26:21,980
+انا باعتمد فقط على مسافة واحدة فقط اللي هي
+
+328
+00:26:21,980 --> 00:26:26,100
+shortest لان هذه ال minimum distance حسب ال
+
+329
+00:26:26,100 --> 00:26:32,240
+linkage criteria معناته انا بدي اتم دمج ال mi و ال
+
+330
+00:26:32,240 --> 00:26:33,500
+to تمام
+
+331
+00:26:36,100 --> 00:26:41,560
+وهذه اول cluster انا حصلت عليه هسميه marriage رقم
+
+332
+00:26:41,560 --> 00:26:48,520
+1 ممتاز فلما انا اتدمج MIT و MIT MIT MIT MIT MIT
+
+333
+00:26:48,520 --> 00:26:49,180
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+334
+00:26:49,180 --> 00:26:49,760
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+335
+00:26:49,760 --> 00:26:51,240
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+336
+00:26:51,240 --> 00:26:51,980
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+337
+00:26:51,980 --> 00:26:52,080
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+338
+00:26:52,080 --> 00:26:52,620
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+339
+00:26:52,620 --> 00:26:52,640
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+340
+00:26:52,640 --> 00:26:53,360
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+341
+00:26:53,360 --> 00:26:53,560
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+342
+00:26:53,560 --> 00:26:53,740
+MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT MIT
+
+343
+00:26:53,740 --> 00:26:56,560
+MIT MIT MIT
+
+344
+00:27:06,430 --> 00:27:09,370
+ماذا عن علاقة الـ Cluster الجديد هذا مع الـ
+
+345
+00:27:09,370 --> 00:27:10,950
+Element التانيات؟
+
+346
+00:27:16,670 --> 00:27:21,730
+إن هذا هو ال cluster متفقين الآن ال cluster الجديد
+
+347
+00:27:21,730 --> 00:27:25,690
+هذا انا بدي أتعامل معاه بدي أضع له قيمة تمثله
+
+348
+00:27:25,690 --> 00:27:32,230
+يتمثل علاقته معاه لأن هذا عبارة عن cluster جديد شو
+
+349
+00:27:32,230 --> 00:27:34,290
+ال distance بين ال cluster هذا وباقي ال clusters
+
+350
+00:27:34,290 --> 00:27:38,770
+التانيات فهاخد ال minimum distance ما بين كل
+
+351
+00:27:38,770 --> 00:27:43,410
+العناصر اللي موجودة بمعنى حاجة أقول كتالة في السطر
+
+352
+00:27:43,410 --> 00:27:53,780
+الأول هنا لما انا بدي أدمجمأي و تي او مع
+
+353
+00:27:53,780 --> 00:27:57,900
+ال بي اي مش هدول اللي بيصيروا one cluster يعني هنا
+
+354
+00:27:57,900 --> 00:28:06,580
+هذا الأعمود بيبقى شقب مثلا و بدي أحط هنا تي او و
+
+355
+00:28:06,580 --> 00:28:11,120
+مأي بغض النظر مين جدمت على مين أنا مش قضية كتير
+
+356
+00:28:11,120 --> 00:28:17,000
+تمام الآن ال بي اي في عندي مسافةفي عندى مسافتين
+
+357
+00:28:17,000 --> 00:28:19,740
+مين بتاخد فيهم بما انه بعتمد انا مازلت على ال
+
+358
+00:28:19,740 --> 00:28:22,840
+single linkage معناته انا بدي اخد ال shortest
+
+359
+00:28:22,840 --> 00:28:33,280
+distance مين اقصر 877 ولا 996 لأ 877 مع ال FI الان
+
+360
+00:28:33,280 --> 00:28:41,920
+ال FI في عندى 295 و400 هعتمد ال 200595 هذه ستبقى
+
+361
+00:28:41,920 --> 00:28:49,960
+صفر مش هتتغير وحتى اللي هي الأقصر الان في عندي 457
+
+362
+00:28:49,960 --> 00:28:53,100
+طبعا هذا ال raw كمان انا بده أخلص منه جامعة الخير
+
+363
+00:28:53,100 --> 00:28:59,660
+ماتنساش 754 وعندي 869
+
+364
+00:28:59,660 --> 00:29:06,520
+هعتمد هاي وفي عندي 564
+
+365
+00:29:06,520 --> 00:29:11,930
+هعتمدهم وبالتالي الجدول الجديد تبعيهيكون بالشكل
+
+366
+00:29:11,930 --> 00:29:17,770
+هذا باقي الأرقام ما تغيرتش أنا خلصت من صف و عمود
+
+367
+00:29:17,770 --> 00:29:21,890
+اللي كانت ممثل ال TO واعتمدت على ال shortest
+
+368
+00:29:21,890 --> 00:29:25,090
+distance اللي موجودة ان شاء الله ماكنش نجلتها غلط
+
+369
+00:29:25,090 --> 00:29:29,610
+تمانية سبعتين اتنين تسعة خمسة صفر
+
+370
+00:29:37,510 --> 00:29:41,110
+أول عملية تمت موجودة عندى باعتماد على single
+
+371
+00:29:41,110 --> 00:29:41,510
+linkage
+
+372
+00:29:44,500 --> 00:29:47,860
+بدي أعيد نفس الكرة عشان أعمل damage ببدأ بدور على
+
+373
+00:29:47,860 --> 00:29:52,500
+shortest distance أي 255 في الصف الأول هي أقصر
+
+374
+00:29:52,500 --> 00:29:57,600
+مسافة لحتى اللحظة 255
+
+375
+00:29:57,600 --> 00:30:05,420
+هي الأقصر 255 255 255 هي الأقصر معناته الآن بدي
+
+376
+00:30:05,420 --> 00:30:10,920
+نعمل damage ما بين ال NA و ال BA بنفس الكلام
+
+377
+00:30:10,920 --> 00:30:22,700
+السابق هخلصمن عمود الـ Na وصف الـ Na تمام علاقتهم
+
+378
+00:30:22,700 --> 00:30:28,580
+ستكون عملوها في عمود واحد اي distance اللي احتفظ
+
+379
+00:30:28,580 --> 00:30:33,300
+فيها الان هذي مش هتتغير لأنها هتجيل العمود اللي
+
+380
+00:30:33,300 --> 00:30:40,140
+عندها بـ A Na
+
+381
+00:30:42,020 --> 00:30:46,560
+سنة صفر تمام هي عندها ستمية اتنين وستين وعندي
+
+382
+00:30:46,560 --> 00:30:51,280
+اربعمية تمانية وستين لأ هعتمد المسافة الاقصر
+
+383
+00:30:51,280 --> 00:30:59,140
+اربعمية تمانية وستين عندها
+
+384
+00:30:59,140 --> 00:31:07,240
+تمانية سبعة وسبعين وعندها سبعمية اربعة وخمسين
+
+385
+00:31:07,240 --> 00:31:15,800
+هعتمد السبعميةواربعة وخمسين طبعا صفها تلتغى عند
+
+386
+00:31:15,800 --> 00:31:19,320
+هان اربعمية واطنعش وعندى اتنين وتسعة عشر هعتمد
+
+387
+00:31:19,320 --> 00:31:24,780
+الاتنين وتسعة عشر ليش لأنه كمان مرة انا بدور على
+
+388
+00:31:24,780 --> 00:31:30,300
+ال single linkage وبالتالي انا اخطأت
+
+389
+00:31:37,670 --> 00:31:45,690
+عفوا انا خطأت فيه عند 219 عشان هي اقصر انا اسف مش
+
+390
+00:31:45,690 --> 00:31:53,250
+كتير يعني بقول الخطأ مردود ان شاء الله متصحى اقصر
+
+391
+00:31:53,250 --> 00:32:04,260
+مسافة عندي فعليا هيها بين N A و R Mوبالتالي انا
+
+392
+00:32:04,260 --> 00:32:09,620
+هخلص مثلا من عمود الارقام ومن صف الارقام مش قضية و
+
+393
+00:32:09,620 --> 00:32:15,020
+هدمجهم .. هدمج التنين مع بعض هذا الآن هيصير عندي
+
+394
+00:32:15,020 --> 00:32:16,420
+an ar
+
+395
+00:32:21,380 --> 00:32:38,620
+م 256 و لا 412 لأ 255 468 و لا 268 لأ 268 754
+
+396
+00:32:38,620 --> 00:32:49,340
+و لا 564 لأ 564 564 عفوان 64 تمام
+
+397
+00:32:50,340 --> 00:32:54,420
+وبهيك انا بقى حط القيام اللى موجودة عندى وبالتالي
+
+398
+00:32:54,420 --> 00:32:57,700
+هي الجدول الجديد اللى موجود عندى هان
+
+399
+00:33:01,600 --> 00:33:06,400
+تمام وهذه عبارة عن second merge اللي حصلت عند هان
+
+400
+00:33:06,400 --> 00:33:09,560
+وبالتالي هي ال damage التاني الآن بدي أعيد نفس
+
+401
+00:33:09,560 --> 00:33:18,560
+الكرة بدور على ال shortest distance 6 6 2 8 7 7 2
+
+402
+00:33:18,560 --> 00:33:25,820
+هذه أقصر واحدة لحد اللحظة 6 6 2 2 9 لأ هذه أقصر 2
+
+403
+00:33:25,820 --> 00:33:35,780
+6 هي أقصرOkay 255 هي الأقصر وبالتالي بدي تمدمج ال
+
+404
+00:33:35,780 --> 00:33:40,880
+RN العمود الأخير مع ال BA معناته أنا بدي أخلص من
+
+405
+00:33:40,880 --> 00:33:47,700
+الصف الأخير في الجدولة وهذا الصف بدي أضيف له بدي
+
+406
+00:33:47,700 --> 00:33:53,020
+أصير يبنثل ال BA NA
+
+407
+00:33:53,020 --> 00:33:55,660
+R
+
+408
+00:33:57,490 --> 00:34:09,970
+الان هذا الصفر هيكون 268 هتحل هان وهان
+
+409
+00:34:09,970 --> 00:34:10,790
+خمسمية
+
+410
+00:34:14,770 --> 00:34:18,410
+46 و باقي العناصر مش هصير عليها تغيير وبالتالي
+
+411
+00:34:18,410 --> 00:34:22,710
+كمان مرة هعيد نفس الكرة و أدور على أقصر مسافة أقصر
+
+412
+00:34:22,710 --> 00:34:27,530
+مسافة هيها معناته حين عمل دمج ما بين العنصرين هدول
+
+413
+00:34:27,530 --> 00:34:36,810
+وبالتالي انا هخلص من العمود هذا و من الصف هذا
+
+414
+00:34:36,810 --> 00:34:39,150
+لان احتفظ ب 280
+
+415
+00:34:41,500 --> 00:34:48,680
+هذه الصفر هتبقى تماما هن 295 نقل
+
+416
+00:34:48,680 --> 00:34:52,280
+295
+
+417
+00:34:52,280 --> 00:34:57,240
+نقل 295 نقل
+
+418
+00:34:57,240 --> 00:34:59,560
+295 نقل 295 نقل 295 نقل 295 نقل 295 نقل 295 نقل
+
+419
+00:34:59,560 --> 00:34:59,660
+295 نقل 295 نقل 295 نقل 295 نقل 295 نقل 295 نقل
+
+420
+00:34:59,660 --> 00:34:59,680
+295 نقل 295 نقل 295 نقل 295 نقل 295 نقل 295 نقل
+
+421
+00:34:59,680 --> 00:35:09,140
+295 نقل 295 نقل 295
+
+422
+00:35:09,140 --> 00:35:14,290
+نقبتمنى تكون الأمور تمام راجعوا المثال حاولوا
+
+423
+00:35:14,290 --> 00:35:17,710
+اقطعوه على ورقة من ال slides وطبقوه لوحدكم عشان
+
+424
+00:35:17,710 --> 00:35:20,570
+ترسخ الأمور ان شاء الله او ان شاء الله بقدر ازودكم
+
+425
+00:35:20,570 --> 00:35:25,050
+مثال تاني عامة قريب تظل عندنا جزئية واحدة في ال
+
+426
+00:35:25,050 --> 00:35:27,830
+chapter هذا اللي هي جزئية ال evaluation لل
+
+427
+00:35:27,830 --> 00:35:31,190
+clustering طبعا مش مويلة هتكون ان شاء الله تعالى
+
+428
+00:35:31,190 --> 00:35:35,670
+لكن بدنا نحاول نركز فيها مع انه بدي احاول اخفف
+
+429
+00:35:35,670 --> 00:35:38,870
+عليكم في بعض العمليات الحسابية السلام عليكم ورحمة
+
+430
+00:35:38,870 --> 00:35:39,050
+الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9DgNoAZTwqg_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9DgNoAZTwqg_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..bcdbc5982ca5bc8e7e61288f372ed72c6d847a7b
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9DgNoAZTwqg_postprocess.srt
@@ -0,0 +1,2220 @@
+1
+00:00:04,520 --> 00:00:06,480
+بسم الله الرحمن الرحيم الصلاة والسلام على رسول
+
+2
+00:00:06,480 --> 00:00:11,160
+الله أهلا وسهلا بكم في لقاءة من جديد من لقاءات
+
+3
+00:00:11,160 --> 00:00:16,280
+مساقة تنقيب البيانات وان شاء الله اليوم سأتكلم
+
+4
+00:00:16,280 --> 00:00:21,680
+معاكم عن .. سأشتغل معاكم عملي زي ما أشتغلت في الـ
+
+5
+00:00:21,680 --> 00:00:25,520
+preprocessing سأعمل فيديو قصير عن ال
+
+6
+00:00:25,520 --> 00:00:28,120
+classification وماذا أريد أن أفعل في عمل ال
+
+7
+00:00:28,120 --> 00:00:32,800
+classificationوحشكل على الكجل كـ Environment ممكن
+
+8
+00:00:32,800 --> 00:00:37,740
+أنتم تستخدموها في موضوع الـ Data Mining أو الـ
+
+9
+00:00:37,740 --> 00:00:41,800
+Data Science وحاجات كتفي فقط بـ Classifier راحل
+
+10
+00:00:41,800 --> 00:00:44,920
+والـ Classifier هذا له خصوصية شوية ضمن كل فيديو
+
+11
+00:00:44,920 --> 00:00:48,040
+هذه ساعدكم في فهم أو في عمل الواجب بشكل صحيح
+
+12
+00:00:48,040 --> 00:00:52,300
+تمضبنكم في الواجب تستخدموا ال data set تبعكم
+
+13
+00:00:52,300 --> 00:00:57,290
+وتقارنوا ال performance تبع ال three classifiersمن
+
+14
+00:00:57,290 --> 00:01:02,050
+أربعة احنا خدنا الـ Canary Sniper والـ Naive Bison
+
+15
+00:01:02,050 --> 00:01:04,890
+والـ Neural Network والـ Decision Tree هدول
+
+16
+00:01:04,890 --> 00:01:07,650
+الأربعة انا شرحتهم في تسجيلات السابقة المضمون انكم
+
+17
+00:01:07,650 --> 00:01:10,210
+تختاروا التلاتة و تطبقوهم على ال data set اللي
+
+18
+00:01:10,210 --> 00:01:15,770
+موجودة عندكم، الآن انا شاء الله تعالى هبدأ اعمل
+
+19
+00:01:15,770 --> 00:01:19,160
+sharing للشاشة اللي موجودة عندهاأحاول في الفيديو
+
+20
+00:01:19,160 --> 00:01:23,460
+أنتقل لموضوع الـ Sharing وأتكلم على الـ Data Set
+
+21
+00:01:23,460 --> 00:01:29,580
+أو على الـ Element اللي أنا .. البرنامج
+
+22
+00:01:29,580 --> 00:01:35,640
+اللي أنا بدأ أشتغل عليه بداية خليني أنا أروح أعمل
+
+23
+00:01:35,640 --> 00:01:40,900
+Share للـ Desktop هي
+
+24
+00:01:40,900 --> 00:01:44,300
+Share للـ Desktop بالكامل وبعد التسجيل المفروض للـ
+
+25
+00:01:44,300 --> 00:01:45,700
+Desktop وأنا الآن
+
+26
+00:02:07,030 --> 00:02:12,390
+بسم الله هيالكاجل.com أنا أيه الحساب على الكاجل؟
+
+27
+00:02:12,600 --> 00:02:16,280
+اللي انشأته من تبقى الإحساب آخر لكن هذا أنا أنشأته
+
+28
+00:02:16,280 --> 00:02:25,400
+من فترة بخصوص اللي اللي اللي اللي اللي
+
+29
+00:02:25,400 --> 00:02:25,680
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+30
+00:02:25,680 --> 00:02:25,740
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+31
+00:02:25,740 --> 00:02:26,100
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+32
+00:02:26,100 --> 00:02:26,620
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+33
+00:02:26,620 --> 00:02:26,900
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+34
+00:02:26,900 --> 00:02:27,000
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+35
+00:02:27,000 --> 00:02:27,040
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+36
+00:02:27,040 --> 00:02:32,220
+اللي اللي اللي اللي اللي
+
+37
+00:02:32,220 --> 00:02:38,740
+اللي اللي اللي اللي
+
+38
+00:02:38,740 --> 00:02:42,760
+اللي اللوبحدد ال database هي بيما انديام ديابيتاس
+
+39
+00:02:42,760 --> 00:02:46,120
+ال database هي مشهورة عالمياً أنا مش هروح أحملها
+
+40
+00:02:46,120 --> 00:02:50,880
+كمان مرة فاللي already اذا حملتها بكون انتهيت من
+
+41
+00:02:50,880 --> 00:02:55,620
+الملف اللي موجود عندي و هنتقل الخطوة التالية هروح
+
+42
+00:02:55,620 --> 00:03:01,840
+انا أقوله في ال data set اللي موجودة عندي هي بيما
+
+43
+00:03:01,840 --> 00:03:02,680
+ديابيتاس
+
+44
+00:03:07,480 --> 00:03:16,400
+وأنا بدي أستخدم الـ Dataset Hi طبعا
+
+45
+00:03:16,400 --> 00:03:18,840
+الـ Dataset جمال الغير عشان نفهمها بشكل سريع الـ
+
+46
+00:03:18,840 --> 00:03:23,280
+Dataset هي ناتجة عن المركز الوطني لأمراض السكري
+
+47
+00:03:23,280 --> 00:03:30,540
+والحمية والأمراض الكلةالهدف منها إنه فعليًا
+
+48
+00:03:30,540 --> 00:03:33,860
+يحاولوا يتنبأوا هل المريض هذا هو مؤصاب سكري أو لا
+
+49
+00:03:33,860 --> 00:03:36,980
+بناءً على التشخيصات اللي هي موجودة في ال database
+
+50
+00:03:36,980 --> 00:03:39,800
+اللي موجودة قدامها هي موجودة أعظم مكوّنة من تمانية
+
+51
+00:03:39,800 --> 00:03:42,780
+attributes زي اللي هنشوفها كمان شوية «several
+
+52
+00:03:42,780 --> 00:03:44,920
+constraints were placed on the solution of the
+
+53
+00:03:44,920 --> 00:03:50,400
+ice» وهذه ال database مكوّنة بتتناول ال female
+
+54
+00:03:50,400 --> 00:03:54,220
+patients only all the patients here are females at
+
+55
+00:03:54,220 --> 00:04:03,460
+leastعلى الأقل يكونوا 21 سنة يعني 21 سنة من بيما
+
+56
+00:04:03,460 --> 00:04:07,860
+المنطقة اللي موجودة فيها طبعا هذا كل الكلام انا ما
+
+57
+00:04:07,860 --> 00:04:11,300
+الاصل اللي شفته عندما اتعرفته على ال database
+
+58
+00:04:11,300 --> 00:04:16,980
+والان بده اروح حقوله new notebook
+
+59
+00:04:22,650 --> 00:04:26,450
+الآن الـ New Notebook هو Jupiter Notebook إنشأليه
+
+60
+00:04:26,450 --> 00:04:30,910
+الـ Kaggle، والآن جاب لي هذه كل الكود عشان يعمل
+
+61
+00:04:30,910 --> 00:04:35,490
+import لمين لل database اللي موجودة عنديها، طبعاً
+
+62
+00:04:35,490 --> 00:04:40,590
+هذا الفرق الوحيد ما بين الـ Online، الـ Python
+
+63
+00:04:40,590 --> 00:04:46,370
+Jupiter Notebook أو الـ Localاللي في الآخر انت لما
+
+64
+00:04:46,370 --> 00:04:49,210
+بنعمل import كنا بنزوده بالمسار اللي موجود، طب مين
+
+65
+00:04:49,210 --> 00:04:53,790
+بيحدد المسار؟ هذه موجودة على cloud أو على driver
+
+66
+00:04:56,070 --> 00:04:59,490
+فاحنا بنختارها بكل بساطة بدون إيش بدون ما يكون في
+
+67
+00:04:59,490 --> 00:05:02,650
+عندنا ال .. عفوا فبتروح بتزوّدنا إيه أغلى كاجل
+
+68
+00:05:02,650 --> 00:05:05,090
+بدون ما تكون في عندنا مشاكل الأصل إحنا هذا ال code
+
+69
+00:05:05,090 --> 00:05:09,710
+إذا بدنا نشتغل online نرفعه أو نتعلمه أو نحفظه لأن
+
+70
+00:05:09,710 --> 00:05:12,250
+هذا ال code هيلزمنا مع الكاجل و غالبا هو نفسه
+
+71
+00:05:12,250 --> 00:05:16,350
+موجود مع ال collab ما علينا أن الأن لو أنا طبعا
+
+72
+00:05:16,350 --> 00:05:19,190
+ناحظ أنه عمل كمان import لأهم two libraries اللي
+
+73
+00:05:19,190 --> 00:05:22,740
+هم على ال databaseأو في الـ dataset الـ numpy
+
+74
+00:05:22,740 --> 00:05:26,320
+والبانداز طبعاً أحنا معظم شغلنا من خلال البانداز
+
+75
+00:05:26,320 --> 00:05:31,280
+لكن في مثال اليوم هيلزمنا ال numpy كذلك لمرة واحد
+
+76
+00:05:31,280 --> 00:05:35,550
+أو لمرتين خلينا نعمل runللـ code اللي موجود عندها
+
+77
+00:05:35,550 --> 00:05:39,750
+عمل run طبعاً سرعة الاستجابة بتعتمد على سرعة ال
+
+78
+00:05:39,750 --> 00:05:42,950
+connection اللي موجود عندك طبعاً هنف يقولك جديش
+
+79
+00:05:42,950 --> 00:05:46,050
+انت استخدمت من ال hardest جديش عندك CPU او إشغال
+
+80
+00:05:46,050 --> 00:05:48,930
+للـ CPU جديش إذا كان عندك إشغال للرابط ممكن تطفو
+
+81
+00:05:48,930 --> 00:05:51,210
+ممكن تعمل restart للجهة بتاع ال notebook هذا
+
+82
+00:05:51,210 --> 00:05:59,030
+الرابط بعد ما عملت run أداني رابط في diabetes.csv
+
+83
+00:05:59,030 --> 00:06:02,070
+طبعا خليني أنا أسمي ال notebook تبعي diabetes
+
+84
+00:06:06,170 --> 00:06:10,510
+عند الـ score specification
+
+85
+00:06:12,560 --> 00:06:15,840
+وأجي أخد Notebook جديدة وحروح أنا أقول له الـ
+
+86
+00:06:15,840 --> 00:06:19,240
+DataFrame طب أنا خلاص بدي أقرأ ال database pandas
+
+87
+00:06:19,240 --> 00:06:27,080
+.read underscore csv اللي زي ما أحنا بنقرأ وهي ال
+
+88
+00:06:27,080 --> 00:06:31,220
+single quotation وهي المسار اللي أنا نسخته هي كده
+
+89
+00:06:31,220 --> 00:06:34,620
+الأمور تمت عملية المفروض تم عملية القراءة عشان أنا
+
+90
+00:06:34,620 --> 00:06:38,920
+أتأكد ورح أقول ال DataFrame.head والhead ممكن أنا
+
+91
+00:06:38,920 --> 00:06:44,470
+أزودها زي ما قولنا سابقاًبتعرض الأول صفوف من الـ
+
+92
+00:06:44,470 --> 00:06:48,450
+DataFrame اللي أنا قرأته الـ DataFrame هذا مكوّن
+
+93
+00:06:48,450 --> 00:06:53,130
+من حوالي الـ 708 الـ و سبتين row الـ By default
+
+94
+00:06:53,130 --> 00:06:56,490
+الـ head بتجيب عشرة، عفوا، بتجيب خمسة، إذا أنا بدي
+
+95
+00:06:56,490 --> 00:06:59,830
+عشرة أو بدي خمسة أو بدي تلاتة أو بدي خمستاشر ممكن
+
+96
+00:06:59,830 --> 00:07:05,350
+أنا أروح أغيره مرة تانية، فهي راح قرأليها اللي
+
+97
+00:07:05,350 --> 00:07:08,840
+قاللي هي البيانات اللي موجودة عندكبس خلّيني أقول
+
+98
+00:07:08,840 --> 00:07:14,740
+لكم قدرة الـ Pages Classification 1 الأن تعرفوا
+
+99
+00:07:14,740 --> 00:07:18,900
+على الـ Attributes بشكل سريع اللي موجودة عنهم بما
+
+100
+00:07:18,900 --> 00:07:23,120
+أن كل الـ Database أو كل الـ Data Sets مكوّنة من
+
+101
+00:07:23,120 --> 00:07:27,680
+الـ Gmail فعلا بيسألني عن ال-Pregnancyعدد مرات
+
+102
+00:07:27,680 --> 00:07:34,600
+الحمل، نسبة الجلوكوز في الدم، ضغط الدم، كم كان،
+
+103
+00:07:34,600 --> 00:07:37,420
+سماكة الجلد، طبعاً سماكة الجلد جامعة الخير مهمة
+
+104
+00:07:37,420 --> 00:07:44,580
+لأنه بيمثلها في طبقة الدهون، كمية نسبة الأنسولين
+
+105
+00:07:44,580 --> 00:07:48,480
+أو كمية الأنسولين الموجودة الـ Body Mass Index
+
+106
+00:07:48,480 --> 00:07:52,600
+مؤشر كتلة الجسد الجدش طبعا المفروض كل الناس اللي
+
+107
+00:07:52,600 --> 00:07:55,880
+فوق الـ30 أو فوق الـ32 أو 35، أعتقد إذا أنا مش
+
+108
+00:07:55,880 --> 00:08:01,920
+أوطاني يعنيبقول عنهم أصحاب سمنة، الـ diabetes بـ
+
+109
+00:08:01,920 --> 00:08:05,260
+degree function و high function بتجيس ليه؟ هل
+
+110
+00:08:05,260 --> 00:08:09,120
+المرض هذا مرتبط بالعامل وراتي من الأبوين أو من أحد
+
+111
+00:08:09,120 --> 00:08:14,080
+من العائلة؟ جدش نسبة الناس اللي في العائلةموجودين
+
+112
+00:08:14,080 --> 00:08:19,540
+أو مصابين بالمرض، المرض السكري والـ Age الأعمار زي
+
+113
+00:08:19,540 --> 00:08:22,320
+ما قلنا والـ Outcome اللي هو ال label أو ال target
+
+114
+00:08:22,320 --> 00:08:25,800
+تبعتنا The binary classification صفر واحد، واحد
+
+115
+00:08:25,800 --> 00:08:29,380
+مصاب، صفر غير مصاب، واحنا بدنا نعمل prediction
+
+116
+00:08:29,380 --> 00:08:32,660
+نشوف هل فعليا اللي هو أنا زودته ببيانات معينة
+
+117
+00:08:32,660 --> 00:08:37,530
+هيقول إنه هذا مصاب أو غير مصاب، تمامالآن عشان
+
+118
+00:08:37,530 --> 00:08:41,590
+أتعرف على الـ Database بشكل كويس بقولنا ممكن انا
+
+119
+00:08:41,590 --> 00:08:49,230
+أروح أقوله الـ DataFrame.Describe والـ
+
+120
+00:08:49,230 --> 00:08:51,510
+Describe بقولنا هذا بتدينا Simple Statistics لكن
+
+121
+00:08:51,510 --> 00:08:55,330
+المرحلة ها دي بدي Transpose والناس اللي درست
+
+122
+00:08:55,330 --> 00:08:58,590
+رياضيات منفصلة بتعرف ان ال Transpose أو دراسة
+
+123
+00:08:58,590 --> 00:09:02,630
+مصفوفات بتعرف ان ال Transpose بعمل تبديل للصفوف
+
+124
+00:09:02,630 --> 00:09:07,570
+والأعنيلةأخيرًا هي راح جابليهم هان وبحيث ان ال
+
+125
+00:09:07,570 --> 00:09:11,790
+statistics ال count بتمثل عدد الصفوف اللي فيها
+
+126
+00:09:11,790 --> 00:09:18,310
+values طبعًا كله فيه values عندي هان 678 عدد ال
+
+127
+00:09:18,310 --> 00:09:21,310
+values ال main المتوسط الحسابي ال standard
+
+128
+00:09:21,310 --> 00:09:24,330
+deviation ال minimum value طبعًا جماعة الخير ال
+
+129
+00:09:24,330 --> 00:09:28,920
+minimum value زي الجليكوز وضغط الدمو الـ skin
+
+130
+00:09:28,920 --> 00:09:33,280
+thickness و الانسولين و ال body mass index، هذه
+
+131
+00:09:33,280 --> 00:09:38,320
+كلها بالنسبة لنا المفروض تكون هذه missing values
+
+132
+00:09:38,320 --> 00:09:41,200
+بس بدها معالجة، لأن مستحيل يكون عندي ال body mass
+
+133
+00:09:41,200 --> 00:09:44,040
+index صفر، مستحيل يكون الجليكوز في الدم صفر،
+
+134
+00:09:44,040 --> 00:09:48,490
+مستحيل blood pressure يكون صفربس أنا الان مش هشغل
+
+135
+00:09:48,490 --> 00:09:51,190
+على ال database مش هعملها pre-processing بينما انت
+
+136
+00:09:51,190 --> 00:09:54,490
+ملزم انك تعمل pre-processing لل database ال
+
+137
+00:09:54,490 --> 00:09:57,010
+database ده مش مناسب أقولك خد database تانية إذا
+
+138
+00:09:57,010 --> 00:10:01,260
+في حد مختار قدر اللهطيب، الآن أنا بحاجة زي ما قلنا
+
+139
+00:10:01,260 --> 00:10:06,380
+عن الـ Database هذه على علاتها وحافظة أروح أجهز
+
+140
+00:10:06,380 --> 00:10:11,500
+الـ Data Set للترانسي للـ Classification وأهم شغلة
+
+141
+00:10:11,500 --> 00:10:14,660
+في الـ Classification أنه أنا أعمل يا جماعة الخير
+
+142
+00:10:14,660 --> 00:10:18,320
+Split ما بين الـ Data Set Attribute أخد الـ
+
+143
+00:10:18,320 --> 00:10:21,040
+Attributes أو الـ Data Attributes لحال وأخد الـ
+
+144
+00:10:21,040 --> 00:10:25,480
+Target Attribute لحالي وهذا الكلام أنا بدي أروح
+
+145
+00:10:25,480 --> 00:10:34,910
+أسميها تحت«Data» أو «Data Set» «Splitting»
+
+146
+00:10:34,910 --> 00:10:41,750
+«Splitting» أو «Splitting»
+
+147
+00:10:41,750 --> 00:10:43,450
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+148
+00:10:43,450 --> 00:10:43,610
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+149
+00:10:43,610 --> 00:10:44,590
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+150
+00:10:44,590 --> 00:10:44,610
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+151
+00:10:44,610 --> 00:10:44,650
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+152
+00:10:44,650 --> 00:10:44,730
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+153
+00:10:44,730 --> 00:10:44,750
+«Splitting» «Splitting» «Splitting» «Splitting»
+
+154
+00:10:44,750 --> 00:10:56,130
+«Splitting» «Splitting» «Splitting» «Spl
+
+155
+00:10:59,800 --> 00:11:05,500
+Target Underscore Attribute كيف أنا بدي أعمل الـ
+
+156
+00:11:05,500 --> 00:11:08,140
+Splitting الآن؟ عملية الـ Splitting هي عبارة عن
+
+157
+00:11:08,140 --> 00:11:11,180
+أخد نصخة من الـ Attributes أنا ما بديش أخرّب في
+
+158
+00:11:11,180 --> 00:11:13,640
+الـ Data Frame الأصلي اللي موجود عندي هنا فبتحتقط
+
+159
+00:11:13,640 --> 00:11:19,760
+فيه و هروح أقوله أنا هنا ال Data أو ممكن أسميها ال
+
+160
+00:11:19,760 --> 00:11:25,480
+Attributes مباشرة Attribute
+
+161
+00:11:25,480 --> 00:11:31,770
+Equalالـ DataFrame.prop
+
+162
+00:11:31,770 --> 00:11:39,270
+بدي أحدث الـ Outcome
+
+163
+00:11:39,270 --> 00:11:45,570
+وهذا موجود على الـ Axis أرقم واحد فعليه مش هيحدثه
+
+164
+00:11:45,570 --> 00:11:48,570
+لأنه لم أقول له إنه Blast فبدي أخد نسخة من ال
+
+165
+00:11:48,570 --> 00:11:51,470
+DataFrame هذا و بيحدث ال Outcome وبدي أخذلني فيه
+
+166
+00:11:51,470 --> 00:11:56,930
+مين بحقليهم في ال Attributes تمام؟ وفي عندي Target
+
+167
+00:11:59,700 --> 00:12:06,340
+«attribute equals dataFrame dot أو dataFrame of
+
+168
+00:12:06,340 --> 00:12:15,140
+the outcome» وهكذا أصبح لدي two arrays تمثل
+
+169
+00:12:15,140 --> 00:12:20,140
+الـ «attributes» من الـ «age» إلى الـ «pregnancy»
+
+170
+00:12:20,390 --> 00:12:24,550
+والأخير بيمثل الـ Outcome أنا سميته إيش الـ Target
+
+171
+00:12:24,550 --> 00:12:28,690
+هذا الفصل مهم جدًا يا جماعة الخير بالنسبة لنا لأنه
+
+172
+00:12:28,690 --> 00:12:34,710
+من خلاله أنا بقدر أقول والله أنه ال data تبعتي تمت
+
+173
+00:12:34,710 --> 00:12:38,570
+طبعًا أنا الآن عملي ترنمج جابلي إنه okay أخدت رقم
+
+174
+00:12:38,570 --> 00:12:43,890
+أربعة سل هذه نفذت بدون أي مشاكل إذا حابب أنت تعمل
+
+175
+00:12:43,890 --> 00:12:48,070
+ال attribute describe أو تشوف
+
+176
+00:12:56,430 --> 00:12:59,030
+الخطوة التالية اللي أنا بدي أسويها في الـ
+
+177
+00:12:59,030 --> 00:13:01,630
+preparation، برضه من تحت الـ preparation، اللي أنا
+
+178
+00:13:01,630 --> 00:13:04,870
+بدي أجسم ال data set اللي موجودة عندي الآن، اللي
+
+179
+00:13:04,870 --> 00:13:13,140
+هي ال attributesالـ Data Attributes والـ Target
+
+180
+00:13:13,140 --> 00:13:17,480
+Attributes بدي أجسمهم على مستوى الـ Rows بحيث أنه
+
+181
+00:13:17,480 --> 00:13:20,700
+أجهز الـ Training Set والـ Testing Set زي ما أحنا
+
+182
+00:13:20,700 --> 00:13:29,740
+أبني علىها إيه هان؟ Splitting The
+
+183
+00:13:29,740 --> 00:13:34,080
+Data Set
+
+184
+00:13:34,080 --> 00:13:45,000
+واحنا بين جلسينحكّم الـ Attribute و
+
+185
+00:13:45,000 --> 00:13:59,550
+Target into Training and Test Setعشان أنفذ الكلام
+
+186
+00:13:59,550 --> 00:14:03,850
+هذا أنا بدي أروح من ال AsciiLab.model طبعاً هنا
+
+187
+00:14:03,850 --> 00:14:07,090
+بدي أبدأ أول أستخدم أول مكتبة بعد الـBandas اللي
+
+188
+00:14:07,090 --> 00:14:12,730
+موجودة فوق فهاجله from AsciiLab والـ AsciiLab يا
+
+189
+00:14:12,730 --> 00:14:16,350
+جماعة الخير أهم مكتبة بالنسبة لإلنا موجودة ممكن
+
+190
+00:14:16,350 --> 00:14:23,650
+أنا أستخدمها model underscore selection model
+
+191
+00:14:23,650 --> 00:14:24,530
+selection
+
+192
+00:14:29,600 --> 00:14:31,180
+ماذا أريد أن أستخدم من الـ Modeling و الـ
+
+193
+00:14:31,180 --> 00:14:36,860
+Selection؟ سأستخدم crane underscore test
+
+194
+00:14:36,860 --> 00:14:43,660
+underscore split function أو ميثود الموجودة في
+
+195
+00:14:43,660 --> 00:14:49,100
+داخلها الميثود هايبتش بتاخد مني argument هذه
+
+196
+00:14:49,100 --> 00:14:55,860
+الميثود بتاخد مني argument أهمها تلقى شغلات الـ
+
+197
+00:14:55,860 --> 00:14:59,140
+attributes ال data set اللي أنا
+
+198
+00:15:02,640 --> 00:15:07,240
+أشغل عليها الـ Attributes كأخد مني الـ Target،
+
+199
+00:15:07,240 --> 00:15:14,080
+تمام؟ دعني أتأكد إن كنت بالـ Target صح هما، والـ
+
+200
+00:15:14,080 --> 00:15:19,740
+Test أو الـ Train Size Test underscore Size بدها
+
+201
+00:15:19,740 --> 00:15:26,640
+تساوي 30% الآن شوف بسهولة، فعليًا بروح بجسم الـ
+
+202
+00:15:26,640 --> 00:15:31,340
+Attributes والـ Targets هما as one data frame
+
+203
+00:15:31,340 --> 00:15:36,000
+فعليًاالـ Index اللي موجود في الـ Attribute الأول
+
+204
+00:15:36,000 --> 00:15:39,760
+أو مع الـ Attributes هو نفس الـ Index الموجود على
+
+205
+00:15:39,760 --> 00:15:44,180
+الـ Target بس أنا فصلتهم كأعلى ده عن بعضهم لكن الـ
+
+206
+00:15:44,180 --> 00:15:48,140
+Index بقى نفس الترتيب، ماصارش فيه عليه الشغل طيب،
+
+207
+00:15:48,140 --> 00:15:52,520
+وبالتالي هو هياخد Random Sample نسبة 30% من الـ
+
+208
+00:15:52,520 --> 00:15:57,260
+Indices اللي موجودة هنا ويعمل الـ Reaction 30% هذه
+
+209
+00:15:57,260 --> 00:16:04,240
+هترجع في لمين؟ هترجع لـ X Testوالـ Y-test اللي هي
+
+210
+00:16:04,240 --> 00:16:08,980
+الـ Attributes الخاصة بالتست والـ Target الخاص
+
+211
+00:16:08,980 --> 00:16:14,340
+بالتست خلّيني أسميهم X وY والمصطلحات هذه درجة جداً
+
+212
+00:16:14,340 --> 00:16:18,800
+في التسميات بالإضافة لهيك، أنا فيه عندي الـ X
+
+213
+00:16:18,800 --> 00:16:22,380
+train والـ Y train اللي هم الـ 70% اللي بيظلوا من
+
+214
+00:16:22,380 --> 00:16:26,660
+ال data sets اللي موجودة عندي فأنا فعلياً هكون فيه
+
+215
+00:16:26,660 --> 00:16:32,400
+عندي X train كمان Y train
+
+216
+00:16:35,840 --> 00:16:45,880
+كما X test كما Y test وهذه أربع مجموعات بحيث أن
+
+217
+00:16:45,880 --> 00:16:50,480
+الـ procedure هذا أو الـ function هذه أو الـ
+
+218
+00:16:50,480 --> 00:16:55,180
+constructor هذا بيرجعلي بأربع مجموعات X test X
+
+219
+00:16:55,180 --> 00:16:59,930
+دلالة على الـ attributesتمام فالـ X هي عبارة عن
+
+220
+00:16:59,930 --> 00:17:03,550
+subset من الـ attributes X train و X test X test
+
+221
+00:17:03,550 --> 00:17:08,670
+بتمثل 30% من ال attributes والـ X train بتاخد 70%
+
+222
+00:17:08,670 --> 00:17:11,250
+طبعا ممكن أنا أبدل هنا، أروح أقول له لـ train test
+
+223
+00:17:11,250 --> 00:17:16,170
+أو لـ train size 70 تمام؟ وبيمشي الحال، الآن الـ Y
+
+224
+00:17:16,170 --> 00:17:21,530
+train هي عبارة عن 70% من ال target بناء على ال
+
+225
+00:17:21,530 --> 00:17:25,620
+index اللي تم أخدهاوالـ Y-test هي عبارة عن الـ
+
+226
+00:17:25,620 --> 00:17:29,700
+Sample اللي موجودة عنا طبعاً عشان نتأكد أن الأمور
+
+227
+00:17:29,700 --> 00:17:33,620
+تمام و ال splitting صح تمت، هروح أنا أقول له X
+
+228
+00:17:33,620 --> 00:17:40,060
+train dot
+
+229
+00:17:40,060 --> 00:17:44,760
+head و بدي أقوله بس يعرض الأول تلاتة منهم أو مش
+
+230
+00:17:44,760 --> 00:17:47,620
+قضية، هي الأول عشرة بس عشان نشوف ال indices اللي
+
+231
+00:17:47,620 --> 00:17:53,740
+موجودة فيهمهي، واحظوا زي ما حكينا هذا عبارة عن الـ
+
+232
+00:17:53,740 --> 00:18:01,180
+Index الآن في المقابل، لو أنا روحت عرضة الـ Y
+
+233
+00:18:01,180 --> 00:18:06,600
+-Train وقلت له هي في السلة اللي بعدها، بس عشان
+
+234
+00:18:06,600 --> 00:18:14,000
+أؤكدلكم الـ Ytrain.head
+
+235
+00:18:14,000 --> 00:18:21,550
+وخلّيني على عشرة كذلك، Runطلع معايا في الـ index
+
+236
+00:18:21,550 --> 00:18:29,230
+ويترين
+
+237
+00:18:29,230 --> 00:18:29,770
+ويترين
+
+238
+00:18:46,050 --> 00:18:50,710
+أنا أخطأ تاني يا جماعة الخير في التسمية هي المفروض
+
+239
+00:18:50,710 --> 00:18:57,310
+X test X test
+
+240
+00:18:57,310 --> 00:19:07,870
+thirty three five green هينعمل run مرة تانية
+
+241
+00:19:07,870 --> 00:19:15,090
+هينعمل run للسل high أه، هيك تمامأنا اللي أختار في
+
+242
+00:19:15,090 --> 00:19:19,490
+تركيب العناصر اللي فوق ببدأ بالـ Exit Test بالـ
+
+243
+00:19:19,490 --> 00:19:24,250
+Attributes و بالـ Yالـ Target طبعًا هي ميزة إنه
+
+244
+00:19:24,250 --> 00:19:27,990
+أنا فعليًا بضل بتبع الـ Data شو صار فيها، مابخطيش،
+
+245
+00:19:27,990 --> 00:19:32,690
+لاحظوا 155، 155 هي نفس الـ Index اللي موجود يعني،
+
+246
+00:19:32,690 --> 00:19:34,750
+فأنا أمور من ناحية الـ Database الآن أو الـ
+
+247
+00:19:34,750 --> 00:19:38,490
+Splitting للـ Data جاهزة، بحيث إنه أنا جسمت الـ
+
+248
+00:19:38,490 --> 00:19:41,450
+Data، فصلت الـ Attributes، الـ Data Attributes
+
+249
+00:19:41,450 --> 00:19:45,030
+والـ Target Attributes، فصلت كل واحد فيهم في Data
+
+250
+00:19:45,030 --> 00:19:48,810
+fileهو روحت للـ data set أو الـ two data frames
+
+251
+00:19:48,810 --> 00:19:55,210
+دول فصلتهم كمان ل test set و فوقه train set و هبدأ
+
+252
+00:19:55,210 --> 00:20:00,370
+استخدم train set في موضوع ال classification الان
+
+253
+00:20:00,370 --> 00:20:06,830
+بدأ أستخدم ال K nearest neighbor KNN
+
+254
+00:20:06,830 --> 00:20:15,070
+أو ما يعرف بالـ K nearest neighbor
+
+255
+00:20:22,150 --> 00:20:25,250
+هنا تبعت الخير في الـ Canary's Neighbour Model
+
+256
+00:20:25,250 --> 00:20:28,950
+يقول إنها أهم شغلة تريد التعرف عليها من أين تريد
+
+257
+00:20:28,950 --> 00:20:39,370
+أن تعمل الـ Import؟ لأن من الـ Asciler Dot
+
+258
+00:20:39,370 --> 00:20:43,530
+طبعاً هنا عندني عائلة اسمها Neighbours أو ال
+
+259
+00:20:43,530 --> 00:20:47,750
+library عشان ماحدش يقول ليه عائلة Neighbours هروح
+
+260
+00:20:47,750 --> 00:20:48,590
+أقول له Import
+
+261
+00:20:54,790 --> 00:21:06,810
+«nearest neighbor» «neighbors
+
+262
+00:21:06,810 --> 00:21:10,870
+as KN»
+
+263
+00:21:10,870 --> 00:21:17,930
+الأن هذا الموديل أنا بممكن أنشئه مباشرة «KNN»
+
+264
+00:21:42,660 --> 00:21:46,440
+والخطوة التالية اللي بعد هيك أنا ممكن أحدد له
+
+265
+00:21:50,220 --> 00:21:53,040
+الـ Model أو أروح أعمله Fit اللي كان المفروض
+
+266
+00:21:53,040 --> 00:21:57,460
+أحددله الـ Data Set اللي بده يعمل عليها Training
+
+267
+00:21:57,460 --> 00:22:02,180
+أو مقارنة هي المفروض الـ Train Data Set لكن في
+
+268
+00:22:02,180 --> 00:22:07,800
+ملاحظة مهمة جدا قبل ما نكمل طبعا بإمكاني أنا أوقف
+
+269
+00:22:07,800 --> 00:22:11,620
+هذه وأعلقها
+
+270
+00:22:17,090 --> 00:22:21,130
+الآسي جمعة الخير هي من أجل الاختصار الـ AS من أجل
+
+271
+00:22:21,130 --> 00:22:24,470
+الاختصار عشان مابترضش أكتب الاسم بالكامل يعني لو
+
+272
+00:22:24,470 --> 00:22:29,750
+أنا بدي أكتبها، هروح أقول «KN N underscore model
+
+273
+00:22:29,750 --> 00:22:33,670
+equals
+
+274
+00:22:33,670 --> 00:22:43,610
+nearest neighbors و N underscore neighbor equals
+
+275
+00:22:43,610 --> 00:22:48,470
+ثلاثة»عفواً، خمسة، خلّيني أعمل نفسي، أمشي على نفس
+
+276
+00:22:48,470 --> 00:22:51,230
+الـStyle هذه واللي فوق نفس المعنى، بس أنا هنا
+
+277
+00:22:51,230 --> 00:22:55,530
+بأختصر في الكتابة بناءً على .. بعمل Alias Name
+
+278
+00:22:55,530 --> 00:22:59,210
+وبستخدم الـAlias Name الآن بضل أقولّهم الـKNN
+
+279
+00:22:59,210 --> 00:23:06,010
+underscore model fit
+
+280
+00:23:06,010 --> 00:23:12,710
+وفي ال training، شو بياخد؟ بياخد الـX train والـY
+
+281
+00:23:12,710 --> 00:23:18,620
+trainلأن هذه هي الـ data اللي انا بتعمل عليها أو
+
+282
+00:23:18,620 --> 00:23:22,260
+من خلالها ال training لو انا اشتغلت عملت له run
+
+283
+00:23:22,260 --> 00:23:35,620
+وشكلي
+
+284
+00:23:35,620 --> 00:23:37,620
+أنا أخطأت في ال nearest neighbors
+
+285
+00:23:46,470 --> 00:23:51,630
+«nearest neighbours» صح الصح الـ «spelling» صح
+
+286
+00:23:51,630 --> 00:24:05,130
+«EG» «EI» «GH» «D» «O» «R» «S»
+
+287
+00:24:05,130 --> 00:24:08,190
+ليش؟
+
+288
+00:24:21,090 --> 00:24:35,170
+ممكن عشان أنا حطيت الـ alias name فوق عشان
+
+289
+00:24:35,170 --> 00:24:40,270
+حطيت الـ alias name عشان حطيت الـ alias name لأن
+
+290
+00:24:40,270 --> 00:24:45,710
+الـ alias name بدله لكن لو أنا شهيت هذا وعلّجت
+
+291
+00:24:45,710 --> 00:24:46,030
+هذه
+
+292
+00:24:52,850 --> 00:25:00,330
+مش هيكون في خطأ فممكن
+
+293
+00:25:00,330 --> 00:25:03,590
+أنا أستخدم هاي أو هاي بحسب الحالة اللي موجودة
+
+294
+00:25:03,590 --> 00:25:08,170
+عليها تمام، فالـ mode أصبح جاهز يتعرّف على الـ
+
+295
+00:25:08,170 --> 00:25:10,890
+trend data أو الـ trend set اللي أنا بدي أشتغل
+
+296
+00:25:10,890 --> 00:25:14,950
+عليها وهي بطبيعة الحالة مجسومة للـ tribunes وطبعاً
+
+297
+00:25:14,950 --> 00:25:19,510
+الخطوة التالية أنا عمال بدي أروح أعمل أو بدي أشوف
+
+298
+00:25:19,510 --> 00:25:23,510
+ال majors إيش ممكن يسوي ليهالـ Element اللي موجود
+
+299
+00:25:23,510 --> 00:25:27,050
+أو الـ Model اللي أنا أنشرته لكن عشان أنا أنشق الـ
+
+300
+00:25:27,050 --> 00:25:30,530
+Model جمال الخير أو بدي أجرب الـ Model خليني أشوف
+
+301
+00:25:30,530 --> 00:25:35,450
+أو أخد عينة من الـ Data اللي موجودة عندها في موضوع
+
+302
+00:25:35,450 --> 00:25:39,070
+من
+
+303
+00:25:39,070 --> 00:25:42,450
+الـ Data Set بشكل عام أنا بدي أروح و أقول له أنا
+
+304
+00:25:42,450 --> 00:25:46,190
+طبعاً أول هيكون الأول استخدام للـ Numpy اللي
+
+305
+00:25:46,190 --> 00:25:56,740
+موجودة فوق هروح أقوله T1هذه الـ array مكوّنة من
+
+306
+00:25:56,740 --> 00:26:07,640
+مجموعة أرقام وليكن
+
+307
+00:26:07,640 --> 00:26:12,940
+على سبيل المثال الصف الأول وهذه ال class موجودة
+
+308
+00:26:12,940 --> 00:26:13,320
+هنا
+
+309
+00:26:17,220 --> 00:26:21,720
+الـ Ctrl V التابس هذه بدي استبدلها بـ Comma
+
+310
+00:26:31,800 --> 00:26:35,140
+طبعًا، يا عزيزي، في شغل مهم لازم نقولها الآن إنه
+
+311
+00:26:35,140 --> 00:26:38,300
+مش ضروري الـ Prediction دائمًا يعني ماحدش بيقول
+
+312
+00:26:38,300 --> 00:26:40,800
+الـ Prediction بيكون صحيح أو بيكون حقيقية 100%
+
+313
+00:26:40,800 --> 00:26:43,720
+لازم يكون في أخطاء عندي دائمًا أو في معظم الأحيان
+
+314
+00:26:43,720 --> 00:26:47,160
+يكون في عندك أخطاء وكل ما اكتمل أو كل ما كانت ال
+
+315
+00:26:47,160 --> 00:26:50,520
+Prediction تبعت ال score تبعته أعلى بيكون كويسة
+
+316
+00:26:50,520 --> 00:26:57,720
+Doc Re-Shape كله اعتمد المصفوفة هذه على إيها واحد
+
+317
+00:26:57,720 --> 00:27:06,120
+سالب واحدوطبعاً هاي ال target هحط هنا target equal
+
+318
+00:27:06,120 --> 00:27:14,720
+one وخلّيني أنا أنسخ هذه هيك Ctrl V وبدأ أجي على
+
+319
+00:27:14,720 --> 00:27:20,760
+ال raw اللي رقمه خمسة أنسخه وال target تبعته صفر
+
+320
+00:27:20,760 --> 00:27:23,200
+هذا بدي أسميه T5
+
+321
+00:27:33,150 --> 00:27:38,710
+بنفس الكلام الـ
+
+322
+00:27:38,710 --> 00:27:47,030
+caps اللي عندي بكمس عشان تتحول كيما اللي عندي لاش
+
+323
+00:27:47,030 --> 00:27:53,370
+لمصفوفة تمام ننبغي نفس العدد
+
+324
+00:28:01,810 --> 00:28:08,410
+تمام، ليس مشكلة لان عندما انا اعمل train الـ model
+
+325
+00:28:08,410 --> 00:28:11,130
+اللي انا انشأته model.k-neighbors لديه method
+
+326
+00:28:11,130 --> 00:28:17,070
+اسمها model.k-neighbors انا هايه ال model تبعي KNN
+
+327
+00:28:17,070 --> 00:28:24,430
+underscore model.k-neighbors
+
+328
+00:28:25,990 --> 00:28:30,270
+ولا مين؟ وبديله مين؟ وبديله ال test element اللي
+
+329
+00:28:30,270 --> 00:28:37,030
+انا بدي افحصه وليكن T1 كمه ومع عدد عناصر الجوار
+
+330
+00:28:37,030 --> 00:28:42,430
+خمسة عدد عناصر الجوار خمسة بتحس في لحظة من اللحظات
+
+331
+00:28:42,430 --> 00:28:47,050
+ان ال K الخمسة اللي انا عنها ماالهاش علاقة هذه ال
+
+332
+00:28:47,050 --> 00:28:50,290
+method اللي موجود خليني اشوف و اروح طبعا هذه ال
+
+333
+00:28:50,290 --> 00:28:55,370
+method بترجعلي two vectorsالفكتور الأول يمثل الـ
+
+334
+00:28:55,370 --> 00:28:59,930
+distances كما
+
+335
+00:28:59,930 --> 00:29:08,790
+والفكتور التاني ال index تمام؟ ال index أو ال
+
+336
+00:29:08,790 --> 00:29:15,850
+indices نفس المصطلحات indices لمن؟
+
+337
+00:29:15,850 --> 00:29:18,550
+لـ Indices
+
+338
+00:29:22,020 --> 00:29:27,480
+للـ Raw اللي هي صاحبة أقصر مسافة يعني الـ
+
+339
+00:29:27,480 --> 00:29:31,600
+Cannibals هدول بيروح بيجيبلي أقرب خمسة للـ Element
+
+340
+00:29:31,600 --> 00:29:36,760
+لـ T1 أقرب خمسة لـ T1 وبما أنه المفروض T1 يتمثل
+
+341
+00:29:36,760 --> 00:29:39,480
+الـ Raw الأول في ال data set اللي عندي فهيروح
+
+342
+00:29:39,480 --> 00:29:43,460
+يقوللي ال index رقم Zero او ال index رقم Zero هكون
+
+343
+00:29:43,460 --> 00:29:47,680
+هذا ال distance تبعك صفر وهجيبلي ال index في
+
+344
+00:29:47,680 --> 00:29:52,680
+مصفوفة تانية أنا الآن هروح أقولله eventخلّينا
+
+345
+00:29:52,680 --> 00:29:58,480
+بنشوفها في مجال آخر هيـRun الآن المفروض تم التنفيذ
+
+346
+00:29:58,480 --> 00:30:04,580
+هأخد كود جديد وبدي أروح أقبع الـDistances
+
+347
+00:30:22,010 --> 00:30:26,970
+لاحظوا يا جماعة الخير، صفر، عشرة، خمسة و خمسين،
+
+348
+00:30:26,970 --> 00:30:34,170
+تسعة و عشرة، تسعة و عشرة، عشرين، عشرة
+
+349
+00:30:34,170 --> 00:30:34,270
+و عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و عشرة،
+
+350
+00:30:34,270 --> 00:30:34,290
+عشرة و عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و
+
+351
+00:30:34,290 --> 00:30:34,350
+عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و عشرة، عشرة
+
+352
+00:30:34,350 --> 00:30:34,570
+و عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و عشرة،
+
+353
+00:30:34,570 --> 00:30:38,390
+عشرة و عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و
+
+354
+00:30:38,390 --> 00:30:47,440
+عشرة، عشرة و عشرة، عشرة و عشرة، عشرة و عشرةهذه أو
+
+355
+00:30:47,440 --> 00:30:51,080
+أقرب distance لأنه بيرتب ليهم ترتيب تساعدي حسب
+
+356
+00:30:51,080 --> 00:30:54,960
+الأقرب فالأقرب، طيب، الآن إذا أنا بدي أشوف ال
+
+357
+00:30:54,960 --> 00:30:58,900
+indexes تبع العناصر اللي موجودة عندها أو بدي أشوف
+
+358
+00:30:58,900 --> 00:31:02,100
+ال target تبع ال indices اللي موجودة عندها، ممكن
+
+359
+00:31:02,100 --> 00:31:09,960
+أنا أروح أقول له target of
+
+360
+00:31:09,960 --> 00:31:14,080
+I from
+
+361
+00:31:15,690 --> 00:31:22,530
+الـ I موجودة أين؟ أو عفوًا، for الـ I for
+
+362
+00:31:22,530 --> 00:31:30,390
+I M، ال indices أنا
+
+363
+00:31:30,390 --> 00:31:34,810
+هذه مصفوفة برضه من بعدي، فاروح أقوله بعد أيام،
+
+364
+00:31:34,810 --> 00:31:35,310
+فإشرح
+
+365
+00:31:52,280 --> 00:32:00,580
+Target غلط طبعاً
+
+366
+00:32:00,580 --> 00:32:04,760
+هان لما كنت بحاول أن أطبع الـ Element بقول لي إن
+
+367
+00:32:04,760 --> 00:32:08,140
+هذا عبارة عن object طب ال object أنا بدي أجيب ال
+
+368
+00:32:08,140 --> 00:32:10,920
+contents تبعته أو محتوى ال object اللي عندي هان
+
+369
+00:32:10,920 --> 00:32:15,300
+فهينطبعته بالشكل اللي موجود عندي هان جلبناه على
+
+370
+00:32:15,300 --> 00:32:19,570
+السبعة اللي موجودات فوقالـ Indices تبعتهم أو الـ
+
+371
+00:32:19,570 --> 00:32:22,590
+Classes بناءً على الـ Indexes اللي موجود عندها
+
+372
+00:32:22,590 --> 00:32:26,550
+يعني احنا اتفقنا ال Indices هي عبارة عن ال Index
+
+373
+00:32:26,550 --> 00:32:33,910
+تبعت ال Train Test أو الـ X-Train القريبة من أو
+
+374
+00:32:33,910 --> 00:32:39,450
+الأقرب لـ T1فكان صفر و صفر وهذه الـ Label سبعتهم
+
+375
+00:32:39,450 --> 00:32:43,630
+لان انا بدي اعمل voting هروح اعد انا هدول هي واحد
+
+376
+00:32:43,630 --> 00:32:48,250
+اتنين تلاتة اربعة خمسة خمسة من سبعة Zero و اتنين
+
+377
+00:32:48,250 --> 00:32:53,530
+من سبعة one معناته ان ال class اللي موجود عندي هنا
+
+378
+00:32:53,530 --> 00:32:59,290
+سبعة طب لو انا بدي اعيد التجربة هي لخمسة وهي run
+
+379
+00:32:59,290 --> 00:33:06,780
+السلة البولة اللي بعديهاوهي الـ cell اللي بعديها
+
+380
+00:33:06,780 --> 00:33:11,760
+فجالك إنه الآن برضه 00 بس القيم اللي عندي فوق
+
+381
+00:33:11,760 --> 00:33:15,320
+اختلفت مش قضية لإن هي في الآخر ال values اللي
+
+382
+00:33:15,320 --> 00:33:18,720
+عنديها صارتان طب لو أنا فكرت إنه أغير في ال values
+
+383
+00:33:18,720 --> 00:33:25,840
+اللي عنديها حضر أروح أعمل run عشان أخدها، okay هي
+
+384
+00:33:25,840 --> 00:33:32,900
+خليني أقول هنا 30، هي run، لاحظوا ال distance
+
+385
+00:33:32,900 --> 00:33:38,070
+اختلافها؟تختلفت الـ distance كلياً الآن والأخير هي
+
+386
+00:33:38,070 --> 00:33:44,910
+run وهيصار في عندي تلاتة one وأربعة zero فهو في
+
+387
+00:33:44,910 --> 00:33:47,910
+الآخر هيعمله ال classification على أنه zero،
+
+388
+00:33:47,910 --> 00:33:51,230
+ممتاز، لكن هذا برضه مش هو الشغل اللي احنا فعلياً
+
+389
+00:33:51,230 --> 00:33:55,450
+محتاجينه، بس نحط بعض ال comments هنا
+
+390
+00:34:03,930 --> 00:34:11,170
+Print target of
+
+391
+00:34:11,170 --> 00:34:18,030
+the most of
+
+392
+00:34:18,030 --> 00:34:23,630
+the nearest neighbors
+
+393
+00:34:23,630 --> 00:34:24,950
+or
+
+394
+00:34:49,610 --> 00:34:52,410
+«الأزدهار» «الأزدهار»
+
+395
+00:34:56,600 --> 00:35:01,560
+الآن سأنتقل لجزئية أكتر أهمية عشان تتكلم عنها
+
+396
+00:35:01,560 --> 00:35:04,920
+Classification عشان أتشتغل على Classification من
+
+397
+00:35:04,920 --> 00:35:07,640
+نفس الـ Library «High from Escalar Neighbors»
+
+398
+00:35:07,640 --> 00:35:13,780
+«Import» في عندي الـ «K nearest neighbor» أو الـ
+
+399
+00:35:13,780 --> 00:35:17,540
+«K neighbors classifier»
+
+400
+00:35:17,540 --> 00:35:22,880
+هاجهان from K
+
+401
+00:35:38,630 --> 00:35:43,710
+نفس الكلام السابق بس الأن بدي أسميه KMN underscore
+
+402
+00:35:43,710 --> 00:35:49,210
+classifier equal الـ model اللي موجود عندي هنا
+
+403
+00:35:49,210 --> 00:35:50,610
+number of neighbors
+
+404
+00:35:54,190 --> 00:35:57,350
+يكون الخمسة أو سبعة مش قطيع كتير زي ما حكينا،
+
+405
+00:35:57,350 --> 00:36:00,450
+المهم أنا أختارها بعناية للبرنامج وحين انتوا في
+
+406
+00:36:00,450 --> 00:36:04,310
+الآخر مطلوب منكوا إذا اختارت الـK فتقولي ليش
+
+407
+00:36:04,310 --> 00:36:06,910
+اعتمدت على الـK هذه؟ يعني انت مطلوب تجرب في الواجب
+
+408
+00:36:06,910 --> 00:36:11,730
+مرة و كنتين و تلاتة، K7، K15، K20، إذا اختار K
+
+409
+00:36:11,730 --> 00:36:14,650
+مناسبة بيقولك بحيث أنها تديك أفضل accuracy قدر
+
+410
+00:36:14,650 --> 00:36:19,100
+المستطاع اللي موجودطبعاً في مقلوب منكم تقرير مع
+
+411
+00:36:19,100 --> 00:36:23,580
+الواجب هذا بحيث أنه انتوا تحددوا كل بساطة أو
+
+412
+00:36:23,580 --> 00:36:27,540
+تحددوا بالتفصيل انت ايش سويت و ايش النتائج اللي
+
+413
+00:36:27,540 --> 00:36:32,680
+اشتغلت عليها و النتائج اللي حصلت عليها طيب الآن
+
+414
+00:36:32,680 --> 00:36:38,860
+هذا ال model KMN underscore classifier بيحتاج انه
+
+415
+00:36:38,860 --> 00:36:44,870
+اعمله fit وعملية ال fit زي ما قلنا ال extremeوالـ
+
+416
+00:36:44,870 --> 00:36:51,210
+Y-train بقى زودوا فيهم ممتاز بالنسبة لي هيكاد
+
+417
+00:36:51,210 --> 00:36:57,130
+استدعاء الـ classifier وتجهيزه وهي أنا الـ using
+
+418
+00:36:57,130 --> 00:37:00,450
+the
+
+419
+00:37:00,450 --> 00:37:07,270
+nearest neighbor classifier as classification
+
+420
+00:37:07,270 --> 00:37:10,750
+model تمام
+
+421
+00:37:12,410 --> 00:37:16,570
+من عمل train بشكل صحيح لـ classifier اللي موجود
+
+422
+00:37:16,570 --> 00:37:21,070
+عندي ممتاز، طب لو أنا الآن اذا ال classifier تم
+
+423
+00:37:21,070 --> 00:37:24,490
+إنش أوي بدا انتقل لمرحلة prediction خد بحيث انه
+
+424
+00:37:24,490 --> 00:37:32,730
+بده اعمل test test دي اللي انا سميته knn
+
+425
+00:37:32,730 --> 00:37:39,370
+underscore classifier using
+
+426
+00:37:41,370 --> 00:37:47,370
+الـ X test والـ
+
+427
+00:37:47,370 --> 00:37:54,690
+Y test والآن في عندي مثلًا في الـ KNN underscore
+
+428
+00:37:54,690 --> 00:38:04,610
+model عفوًا الـ classifier dot predict method أو
+
+429
+00:38:04,610 --> 00:38:09,400
+الـ model اللي عندي dot predictالـ Prediction
+
+430
+00:38:09,400 --> 00:38:25,460
+بتاخد الـ X-Train و Y-Test وبترجعلي الـ
+
+431
+00:38:25,460 --> 00:38:29,160
+Y-Predict
+
+432
+00:38:31,250 --> 00:38:34,950
+الـ Target اللي هي الموجودة عندها بمجرد ذلك، دعوني
+
+433
+00:38:34,950 --> 00:38:42,730
+أقول له اطبع ليها Y-Predict كنت أتأكد أن الأمور
+
+434
+00:38:42,730 --> 00:38:55,230
+تمام، وعمل Prediction تاكس
+
+435
+00:38:55,230 --> 00:39:00,810
+تو Positional Argument but three were given Space
+
+436
+00:39:22,500 --> 00:39:27,960
+أنا المفروض أدّي الـ text الـ attributes وهو بده
+
+437
+00:39:27,960 --> 00:39:31,860
+يعمل prediction أنا آسف على الخطأ هذا، الآن هي الـ
+
+438
+00:39:31,860 --> 00:39:36,090
+predicted labels اللي موجودة عنديأو كأنا فكرت حالي
+
+439
+00:39:36,090 --> 00:39:40,710
+وصلت لمراحة الـ Evaluation سمحوني، هي العناصر اللي
+
+440
+00:39:40,710 --> 00:39:43,930
+موجودة عندها هذه عبارة عن كلية Predicted Labels
+
+441
+00:39:43,930 --> 00:39:47,870
+Predicted Labels زمين للـ X Test اللي موجودة وين
+
+442
+00:39:47,870 --> 00:39:50,430
+الـ Label الحقيقي تبعها موجود؟ الـ Label الحقيقي
+
+443
+00:39:50,430 --> 00:39:55,950
+موجود في الـ Y Train أو في الـ Y Test هاي طيب،
+
+444
+00:39:55,950 --> 00:40:00,150
+الآن عشان أنا أبدأ أقارن خليني أول حاجة نتعرف على
+
+445
+00:40:00,150 --> 00:40:05,040
+الـ Confusion Matrix اللي موجودة عندهاوهنا في عندي
+
+446
+00:40:05,040 --> 00:40:15,880
+الـ classification model evaluation هنبدأ
+
+447
+00:40:15,880 --> 00:40:25,940
+الآن الان from ال ASCII layer import matrix
+
+448
+00:40:28,280 --> 00:40:31,460
+الآن بدي أجيب الـ Matrix، إيش الـ Matrix جامعة
+
+449
+00:40:31,460 --> 00:40:34,540
+الخيار؟ تحتوي أنه من خلالها أنا ممكن أنشأ الـ
+
+450
+00:40:34,540 --> 00:40:37,100
+confusion matrix، أحسب الـ accuracy، أحسب ال
+
+451
+00:40:37,100 --> 00:40:40,240
+precision، أحسب ال recall، أحسب ال أثمجة، كل هذه
+
+452
+00:40:40,240 --> 00:40:44,260
+لدى ال attribute، عفوا، للكاسيفير اللي موجود
+
+453
+00:40:44,260 --> 00:40:49,940
+عندها، وخليني أنا أبدأ مع ال confusion matrix،
+
+454
+00:41:07,520 --> 00:41:13,880
+الـ M الـ CM متر ايقال
+
+455
+00:41:24,700 --> 00:41:29,180
+هنا كل الـ evaluation functions اللي موجودة عندنا
+
+456
+00:41:29,180 --> 00:41:33,420
+هتاخد مني شغلتين هتاخد مني الـ y test اللي هو ال
+
+457
+00:41:33,420 --> 00:41:37,260
+label الحقيقي والي predicted أو الـ y predicted
+
+458
+00:41:37,260 --> 00:41:43,800
+الـ y predict وهي
+
+459
+00:41:43,800 --> 00:41:48,590
+بدي أروح أقوله اطبع ليه ال matrix اللي عندنااللي
+
+460
+00:41:48,590 --> 00:41:52,010
+هي الـ Confusion Matrix الـ Test Set بيتك حجمها
+
+461
+00:41:52,010 --> 00:41:57,450
+هيهم المجموع العناصر الموجودة 120، 25، True
+
+462
+00:41:57,450 --> 00:42:02,570
+Positive، True Negative، False Positive، False
+
+463
+00:42:02,570 --> 00:42:08,250
+Negative، False Positive، False Negative بس إيش ال
+
+464
+00:42:08,250 --> 00:42:11,270
+classes اللي موجودة عندي يا جماعة الخير؟ ال
+
+465
+00:42:11,270 --> 00:42:13,670
+classes يا أخواننا و يا أخواتي بيكونوا تنتبهوا
+
+466
+00:42:13,670 --> 00:42:17,770
+بشكل كويسلأنه أنا ما حدد لهوش إيش ال classes فإيش
+
+467
+00:42:17,770 --> 00:42:22,890
+هو بياخد مباشرة بيروح بيعتمد على الآن أول ما قرأت
+
+468
+00:42:22,890 --> 00:42:29,870
+data set أول ما قرأت data set إيش أول class واجهه؟
+
+469
+00:42:29,870 --> 00:42:32,730
+طبعاً أنا بتكلم في ال test set هذا لأن أول ما
+
+470
+00:42:32,730 --> 00:42:37,250
+زودته، زودته غنين في ال Y-predict أول element في
+
+471
+00:42:37,250 --> 00:42:41,870
+ال Y-test
+
+472
+00:42:46,220 --> 00:42:49,820
+كان واحد، فخلاص، بيعتبر أنه هذا للـ Class الأول،
+
+473
+00:42:49,820 --> 00:42:53,980
+تمام؟ وهذا للClass الثاني، طبعاً هذه العناصر
+
+474
+00:42:53,980 --> 00:42:56,240
+معناته أنها الـ confusion matrix ومن خلالها أنا
+
+475
+00:42:56,240 --> 00:43:00,000
+بنطلق و بحسب كل حاجة، طب إذا أنا بدأ أحسب ال
+
+476
+00:43:00,000 --> 00:43:05,240
+accuracy الآن،
+
+477
+00:43:05,240 --> 00:43:08,260
+اذكروا ال accuracy كانت إيش بتساوي؟ ال true
+
+478
+00:43:08,260 --> 00:43:12,360
+positive زائد ال true negative على كل العناصر
+
+479
+00:43:12,360 --> 00:43:13,600
+المجموعة هنا
+
+480
+00:43:19,260 --> 00:43:25,360
+سأقوم بإعادة الـ Accuracy ACC متركز تساوي متركز
+
+481
+00:43:25,360 --> 00:43:28,040
+تساوي متركز تساوي متركز تساوي متركز تساوي متركز
+
+482
+00:43:28,040 --> 00:43:33,260
+تساوي متركز تساوي متركز تساوي متركز تساوي متركز
+
+483
+00:43:33,260 --> 00:43:33,800
+تساوي متركز تساوي متركز تساوي متركز تساوي متركز
+
+484
+00:43:33,800 --> 00:43:34,360
+تساوي متركز تساوي متركز تساوي متركز تساوي متركز
+
+485
+00:43:34,360 --> 00:43:39,340
+تساوي متركز تساوي متركز تساوي متركز تساوي متركز
+
+486
+00:43:39,340 --> 00:43:48,690
+تساوي متهو الـ Accuracy للـ Model اللي موجود انك
+
+487
+00:43:48,690 --> 00:43:55,850
+هان Matrix dot مش underscore جالي
+
+488
+00:43:55,850 --> 00:44:01,430
+72.27 ممتاز، بدي أنتقل للسلة اللي بعدها لو أنا بدي
+
+489
+00:44:01,430 --> 00:44:05,330
+أحسب ال F major score أو ال precision ال first
+
+490
+00:44:05,330 --> 00:44:07,690
+class اللي موجود عندي هان
+
+491
+00:44:15,790 --> 00:44:20,710
+بنفس الكيفية اللي موجودة عندي هان بدي أسميها
+
+492
+00:44:20,710 --> 00:44:29,190
+precision equal matrix dot precision underscore
+
+493
+00:44:29,190 --> 00:44:35,950
+score وبدي أعطيه المجموعتين ولمّا انا بدي أقوله
+
+494
+00:44:35,950 --> 00:44:41,010
+pre قطعليه لا إله إلا الله
+
+495
+00:44:48,420 --> 00:44:55,240
+بتحملوني شو هساولكم يعني 65 اللي بعدها احسن من ال
+
+496
+00:44:55,240 --> 00:45:01,800
+recallفالأمور كلها بالشكل هذا اللي هتتجمع طبعاً
+
+497
+00:45:01,800 --> 00:45:04,560
+لاحظوا الـ Acrylic Model ككل الـ Precision الـ
+
+498
+00:45:04,560 --> 00:45:07,900
+First Class الـ Recall الـ First Class هيك هيك هيك
+
+499
+00:45:07,900 --> 00:45:11,560
+هيك هيك هيك هيك هيك هيك هيك هيك هيك هيك هيك هيك
+
+500
+00:45:11,560 --> 00:45:18,080
+هيك هيك هيك
+
+501
+00:45:29,740 --> 00:45:38,460
+بارضه، رأيي صارت بدخلعة ودنيا جماعة الخير No
+
+502
+00:45:38,460 --> 00:45:43,740
+attribute
+
+503
+00:45:43,740 --> 00:45:53,160
+recall underscore score أو
+
+504
+00:45:53,160 --> 00:45:53,840
+الـ F major
+
+505
+00:46:04,040 --> 00:46:10,680
+F1 equal matrix F1
+
+506
+00:46:10,680 --> 00:46:18,160
+underscore F1
+
+507
+00:46:21,880 --> 00:46:26,800
+أخر شغلة، أنا ممكن أجيب كل الـValues مع بعضها من
+
+508
+00:46:26,800 --> 00:46:31,520
+خلال شغلة نسميها الـClassification Report
+
+509
+00:46:31,520 --> 00:46:37,800
+الـClassification Report ممكن يساعدني بشكل كتير
+
+510
+00:46:37,800 --> 00:46:41,520
+بحيث أنه أنا محتاجش أن أكتب كل حاجة مع بعضها
+
+511
+00:46:41,520 --> 00:46:45,400
+Classification
+
+512
+00:46:45,400 --> 00:46:45,900
+Report
+
+513
+00:46:50,530 --> 00:46:57,750
+أو الـ CLS underscore report بيساوي matrix dot
+
+514
+00:46:57,750 --> 00:47:01,430
+classification
+
+515
+00:47:01,430 --> 00:47:10,310
+underscore report بدي أدّيله الـ method أو عفوًا
+
+516
+00:47:10,310 --> 00:47:14,010
+الـ to function أو أزوده بالـ predicted بالـ to
+
+517
+00:47:14,010 --> 00:47:18,670
+label والـ predicted label وحروح أقول له هانطبع
+
+518
+00:47:18,670 --> 00:47:19,890
+ليه ال classifier
+
+519
+00:47:23,050 --> 00:47:26,830
+«Reclassification Report» وهنا جاب لي الرابورت
+
+520
+00:47:26,830 --> 00:47:32,290
+الكامل بدأ بالـ «Precision» والـ «Recall» والـ «F
+
+521
+00:47:32,290 --> 00:47:36,090
+Score» أي القيم التلاتة اللي موجودة عندها للـ
+
+522
+00:47:36,090 --> 00:47:41,470
+«Class» طبعاً لل «Class Zero» لأن الـ «Record»
+
+523
+00:47:41,470 --> 00:47:45,430
+لازم يبين كل القيم لازم يبين كل حاجة الآن الـ
+
+524
+00:47:45,430 --> 00:47:51,210
+«Recall» هيالـ Precision
+
+525
+00:47:51,210 --> 00:47:55,870
+تلاتة و تمانين الـ Recall تسعة و سمعين الـ F-score
+
+526
+00:47:55,870 --> 00:48:07,230
+والـ Accuracy وينها؟ ليش هي كتر داخلات مع بعض؟
+
+527
+00:48:15,290 --> 00:48:21,970
+الـ Accuracy بشكل عام هي 73 لماذا
+
+528
+00:48:21,970 --> 00:48:26,930
+72.72؟ هنا في الـ robot عمل الـ Roundation أو
+
+529
+00:48:26,930 --> 00:48:32,090
+القيم اللي موجودة عندك هنا فهي فعليا 72.72 فبعمل
+
+530
+00:48:32,090 --> 00:48:34,950
+الـ Roundation الآن الـ Recall الـ Zero زي ما قلنا
+
+531
+00:48:34,950 --> 00:48:38,090
+6.7 الـ Precision والـ Recall الـ Class الأول
+
+532
+00:48:43,190 --> 00:48:49,230
+هي ال class number one لما
+
+533
+00:48:49,230 --> 00:48:56,040
+قلت له احسب ال precision جالي 66هذه هي تقريبًا الـ
+
+534
+00:48:56,040 --> 00:49:03,800
+55.كذا الـ Z الـ 56 الـ recall اللي هي 55.8 بعملها
+
+535
+00:49:03,800 --> 00:49:10,240
+تقريبًا ال F score اللي كانت بتمثل الـ 60 تمام؟
+
+536
+00:49:10,240 --> 00:49:13,960
+وال support لل values اللي موجودة عندها فهي في ال
+
+537
+00:49:13,960 --> 00:49:16,880
+report هذا أنا جيبت كل ال values بالنسبة لي لمرة
+
+538
+00:49:17,890 --> 00:49:23,690
+واحدة، بتمنى يكون الفيديو هذا يوضحلكم فعليًا إيش
+
+539
+00:49:23,690 --> 00:49:27,590
+أنا محتاج في ال classification طبعًا هذا الكلام
+
+540
+00:49:27,590 --> 00:49:32,170
+بده يتطبق مع كل data set أو مع كل classification
+
+541
+00:49:32,170 --> 00:49:36,630
+model وكل classification model فيه خاصية معينة،
+
+542
+00:49:36,630 --> 00:49:40,210
+يمكن يكون الشغل الوحيد الآن في الاختلاف عندكم اللي
+
+543
+00:49:40,210 --> 00:49:42,770
+هي استدعاء ال classifierباريخ الاستفعال الـ
+
+544
+00:49:42,770 --> 00:49:47,870
+Classifier بينما الـ Fit حتظل ثابت للجميع، الـ
+
+545
+00:49:47,870 --> 00:49:51,270
+Predict حتظل ثابت للجميع، والـ Measurement حتظل
+
+546
+00:49:51,270 --> 00:49:56,590
+موجودة لكل العناع، لكل ال Classifiers بنفس
+
+547
+00:49:56,590 --> 00:50:00,910
+الكيفية، أنا هيك خلصت، بتمنى إن شاء الله تعالى
+
+548
+00:50:04,250 --> 00:50:07,330
+بأتمنى على الله تبارك وتعالى أن أكون فعليًا وفقة
+
+549
+00:50:07,330 --> 00:50:10,850
+اللي لان خلال التسجيل السابق أن أنا أوضحكم موضوع
+
+550
+00:50:10,850 --> 00:50:16,390
+الـ Classification ومن خلاله استخدمت الـ Canary
+
+551
+00:50:16,390 --> 00:50:20,370
+Snapper واستخدمت الـ Kaggle كـ Tool مختلفة عن الـ
+
+552
+00:50:20,370 --> 00:50:24,770
+IPython في الـ Local Machine الموجودة عندي إذا في
+
+553
+00:50:24,770 --> 00:50:29,270
+أي سؤال حضروله لـ Next Sessionالـ Online Session
+
+554
+00:50:29,270 --> 00:50:33,690
+of the Discussion أعلى وعسى أننا نقدر أن نتوفيك
+
+555
+00:50:33,690 --> 00:50:36,530
+دائمًا وأبداً والسلام عليكم ورحمة الله وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5480660eb66f25c6e6f01342ede34a34ca3e9b7
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.json
@@ -0,0 +1 @@
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"word": " في", "probability": 0.9501953125}, {"start": 73.1, "end": 73.7, "word": " موضوع", "probability": 0.9931640625}, {"start": 73.7, "end": 74.26, "word": " ال", "probability": 0.90087890625}, {"start": 74.26, "end": 75.8, "word": " Partitional", "probability": 0.45037841796875}, {"start": 75.8, "end": 76.86, "word": " Clustering", "probability": 0.921875}], "temperature": 1.0}, {"id": 4, "seek": 9203, "start": 78.21, "end": 92.03, "text": "طبعاً لما أتكلم على الـ Partition & Clustering يعني أنني أتكلم على .. عفوا تمام أنا أريد الـ pointer", "tokens": [9566, 3555, 3615, 995, 14111, 5296, 15042, 5551, 2655, 4117, 19528, 15844, 2423, 39184, 4100, 849, 3693, 2033, 48673, 37495, 22653, 14739, 22653, 5551, 2655, 4117, 19528, 15844, 4386, 6225, 5172, 14407, 46811, 10943, 41850, 5551, 16572, 3215, 2423, 39184, 23918], "avg_logprob": -0.48177082481838407, "compression_ratio": 1.3076923076923077, "no_speech_prob": 0.0, "words": [{"start": 78.21, "end": 78.53, "word": "طبعاً", "probability": 0.697216796875}, {"start": 78.53, "end": 78.63, "word": " لما", "probability": 0.677734375}, {"start": 78.63, "end": 78.93, "word": " أتكلم", "probability": 0.8521728515625}, {"start": 78.93, "end": 79.19, "word": " على", "probability": 0.5166015625}, {"start": 79.19, "end": 79.53, "word": " الـ", "probability": 0.64111328125}, {"start": 79.53, "end": 79.95, "word": " Partition", "probability": 0.468017578125}, {"start": 79.95, "end": 80.11, "word": " &", "probability": 0.5888671875}, {"start": 80.11, "end": 80.57, "word": " Clustering", "probability": 0.95751953125}, {"start": 80.57, "end": 80.83, "word": " يعني", "probability": 0.6407470703125}, {"start": 80.83, "end": 81.09, "word": " أنني", "probability": 0.5191650390625}, {"start": 81.09, "end": 81.93, "word": " أتكلم", "probability": 0.849853515625}, {"start": 81.93, "end": 82.81, "word": " على", "probability": 0.7314453125}, {"start": 82.81, "end": 87.05, "word": " ..", "probability": 0.266845703125}, {"start": 87.05, "end": 87.97, "word": " عفوا", "probability": 0.6322021484375}, {"start": 87.97, "end": 91.11, "word": " تمام", "probability": 0.6973876953125}, {"start": 91.11, "end": 91.25, "word": " أنا", "probability": 0.51708984375}, {"start": 91.25, "end": 91.47, "word": " أريد", "probability": 0.6456705729166666}, {"start": 91.47, "end": 91.61, "word": " الـ", "probability": 0.70361328125}, {"start": 91.61, "end": 92.03, "word": " pointer", "probability": 0.67138671875}], "temperature": 1.0}, {"id": 5, "seek": 12399, "start": 94.89, "end": 123.99, "text": "عندما أتكلم عن الـ Partitional Clustering يعني أنني أبحث عن الـ Natural Groups للـ Components اللي موجودة عندي على ال data اللي موجودة بناء على تشابه معين أو بعض التشابه في العناصر اللي موجودة عندها وبالتالي ال cluster هنا في ال Partitional Clustering أنا أجسم العناصر زي ما قلنا مجموعات أو توزيع طبيعي أو أبحث عن توزيع طبيعي لل data بحيث أنه يكون عند كل element موجود في مجموعة واحدة", "tokens": [3615, 41260, 15042, 5551, 2655, 4117, 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"end": 112.57, "word": " وبالتالي", "probability": 0.94638671875}, {"start": 112.57, "end": 113.11, "word": " ال", "probability": 0.89501953125}, {"start": 113.11, "end": 113.97, "word": " cluster", "probability": 0.82861328125}, {"start": 113.97, "end": 114.29, "word": " هنا", "probability": 0.210205078125}, {"start": 114.29, "end": 114.43, "word": " في", "probability": 0.86962890625}, {"start": 114.43, "end": 114.51, "word": " ال", "probability": 0.74267578125}, {"start": 114.51, "end": 114.89, "word": " Partitional", "probability": 0.5673828125}, {"start": 114.89, "end": 115.45, "word": " Clustering", "probability": 0.979736328125}, {"start": 115.45, "end": 116.01, "word": " أنا", "probability": 0.76318359375}, {"start": 116.01, "end": 116.61, "word": " أجسم", "probability": 0.8400065104166666}, {"start": 116.61, "end": 117.07, "word": " العناصر", "probability": 0.983642578125}, {"start": 117.07, "end": 117.17, "word": " زي", "probability": 0.6744384765625}, {"start": 117.17, "end": 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"probability": 0.93505859375}, {"start": 120.65, "end": 120.93, "word": " بحيث", "probability": 0.8819580078125}, {"start": 120.93, "end": 121.09, "word": " أنه", "probability": 0.6875}, {"start": 121.09, "end": 121.21, "word": " يكون", "probability": 0.8720703125}, {"start": 121.21, "end": 121.49, "word": " عند", "probability": 0.5712890625}, {"start": 121.49, "end": 121.83, "word": " كل", "probability": 0.62158203125}, {"start": 121.83, "end": 122.41, "word": " element", "probability": 0.87744140625}, {"start": 122.41, "end": 122.99, "word": " موجود", "probability": 0.93896484375}, {"start": 122.99, "end": 123.11, "word": " في", "probability": 0.955078125}, {"start": 123.11, "end": 123.53, "word": " مجموعة", "probability": 0.87080078125}, {"start": 123.53, "end": 123.99, "word": " واحدة", "probability": 0.9895833333333334}], "temperature": 1.0}, {"id": 6, "seek": 14044, "start": 124.72, "end": 140.44, "text": "وفي نفس الوقت، الـ Clustering Algorithm يدّيني الـ Centroid أو النقطة الأساسية التي تتمثل مركز الـ Center", "tokens": [38688, 1829, 8717, 36178, 2423, 30543, 2655, 12399, 2423, 39184, 2033, 48673, 35014, 6819, 76, 7251, 3215, 11703, 9957, 1829, 2423, 39184, 3408, 6490, 34051, 28239, 47432, 3660, 16247, 3794, 32277, 10632, 38392, 6055, 39237, 12984, 1211, 3714, 31747, 11622, 2423, 39184, 5169], "avg_logprob": -0.4176136316223578, "compression_ratio": 1.2578125, "no_speech_prob": 3.2782554626464844e-06, "words": [{"start": 124.72, "end": 126.42, "word": "وفي", "probability": 0.4912567138671875}, {"start": 126.42, "end": 129.9, "word": " نفس", "probability": 0.943603515625}, {"start": 129.9, "end": 130.54, "word": " الوقت،", "probability": 0.7340545654296875}, {"start": 130.54, "end": 130.72, "word": " الـ", "probability": 0.4501953125}, {"start": 130.72, "end": 131.14, "word": " Clustering", "probability": 0.771240234375}, {"start": 131.14, "end": 133.4, "word": " Algorithm", "probability": 0.8732096354166666}, {"start": 133.4, "end": 134.62, "word": " 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موجود عندها المركز ال cluster أو المجموعة اللي موجودة عندها عشان أحدد العضوية ال cluster هذا يعني انا زي ما قلنا سابقا هي عبارة عن مجموعات معروفة مسبقا يعني واحد", "tokens": [10721, 2407, 39894, 2304, 12984, 1211, 9673, 31747, 11622, 6055, 3555, 34268, 2423, 13630, 13672, 1829, 3714, 29245, 23328, 43242, 11296, 9673, 31747, 11622, 2423, 13630, 34051, 9673, 7435, 2304, 2407, 27884, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 11296, 6225, 8592, 7649, 5551, 24401, 3215, 18863, 11242, 2407, 10632, 2423, 13630, 23758, 37495, 22653, 1975, 8315, 30767, 1829, 19446, 12174, 1211, 8315, 8608, 16758, 4587, 995, 39896, 6225, 3555, 9640, 3660, 18871, 3714, 7435, 2304, 45367, 9307, 20449, 32887, 5172, 3660, 3714, 35457, 4587, 995, 37495, 22653, 36764, 24401], "avg_logprob": -0.18681319041566535, "compression_ratio": 1.904494382022472, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 141.44, "end": 141.68, "word": "أو", "probability": 0.6513671875}, {"start": 141.68, "end": 142.12, 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main تبعتهم فقال لي هاي ال data افترض في ال initialization زي ما قلنا هى ياخذ ال random centers three centers حسب المطلوب by random وراح بدأ يخصص المجموعات فراح بدأ يحسب", "tokens": [1211, 33456, 3224, 39182, 29910, 23275, 8608, 1829, 4587, 20498, 4724, 47283, 31371, 9640, 2423, 39184, 4274, 34051, 2423, 39184, 2135, 6055, 3555, 34268, 16095, 6156, 4587, 6027, 32239, 8032, 47302, 2423, 1412, 1975, 5172, 2655, 43042, 8978, 2423, 5883, 2144, 30767, 1829, 19446, 12174, 1211, 8315, 8032, 7578, 7251, 47283, 8848, 2423, 4974, 10898, 1045, 10898, 11331, 35457, 9673, 9566, 1211, 37746, 538, 4974, 4032, 23557, 5016, 47525, 10721, 7251, 9778, 9381, 9381, 9673, 7435, 2304, 45367, 9307, 6156, 23557, 5016, 47525, 10721, 7251, 5016, 35457], "avg_logprob": -0.34161931852048094, "compression_ratio": 1.5255813953488373, "no_speech_prob": 5.364418029785156e-07, "words": [{"start": 697.58, "end": 697.86, "word": "لأنه", "probability": 0.587158203125}, {"start": 697.86, "end": 698.02, "word": " بعد", 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random center random center معناته خليني اخد ال C1 equal 3 و C2 equal 4 طبعا عادة ان ال random selection بتمن خلال ال data set اللي موجودة الان الخطوة التالية هروح احسب ال distance او المسافة بين كل element و ال two centers اللي موجودين", "tokens": [6027, 9778, 9566, 2407, 3660, 12602, 4587, 2304, 36764, 24401, 16472, 1975, 8315, 8032, 8592, 2655, 17082, 1211, 15844, 4974, 3056, 4974, 3056, 20449, 8315, 47395, 16490, 1211, 9957, 1829, 1975, 9778, 3215, 2423, 383, 16, 2681, 805, 4032, 383, 17, 2681, 1017, 23032, 3555, 3615, 995, 6225, 18513, 3660, 16472, 2423, 4974, 9450, 39894, 27842, 16490, 1211, 6027, 2423, 1412, 992, 13672, 1829, 3714, 29245, 23328, 3660, 2423, 7649, 33962, 9566, 2407, 3660, 16712, 6027, 10632, 8032, 32887, 5016, 1975, 5016, 35457, 2423, 4560, 1975, 2407, 9673, 3794, 31845, 3660, 49374, 28242, 4478, 4032, 2423, 732, 10898, 13672, 1829, 3714, 29245, 23328, 9957], "avg_logprob": -0.1974702312832787, "compression_ratio": 1.6835443037974684, "no_speech_prob": 0.0, 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"probability": 0.669921875}, {"start": 2502.47, "end": 2502.59, "word": " ال", "probability": 0.93359375}, {"start": 2502.59, "end": 2503.11, "word": " algorithm", "probability": 0.96337890625}, {"start": 2503.11, "end": 2504.11, "word": " فعال", "probability": 0.9892578125}, {"start": 2504.11, "end": 2504.53, "word": " جدا", "probability": 0.96923828125}, {"start": 2504.53, "end": 2504.87, "word": " في", "probability": 0.87060546875}, {"start": 2504.87, "end": 2505.57, "word": " التعامل", "probability": 0.971435546875}, {"start": 2505.57, "end": 2505.77, "word": " مع", "probability": 0.859375}, {"start": 2505.77, "end": 2506.17, "word": " ال", "probability": 0.59423828125}, {"start": 2506.17, "end": 2507.05, "word": " ..", "probability": 0.55419921875}, {"start": 2507.05, "end": 2508.17, "word": " بطلبش", "probability": 0.6785888671875}, {"start": 2508.17, "end": 2508.37, "word": " مني", "probability": 0.94677734375}, {"start": 2508.37, "end": 2508.63, "word": " عدد", "probability": 0.978515625}, {"start": 2508.63, "end": 2508.77, "word": " ال", "probability": 0.7421875}, {"start": 2508.77, "end": 2508.95, "word": " K", "probability": 0.90478515625}, {"start": 2508.95, "end": 2509.15, "word": " و", "probability": 0.8076171875}, {"start": 2509.15, "end": 2509.55, "word": " بيشتغل", "probability": 0.8634440104166666}, {"start": 2509.55, "end": 2509.65, "word": " و", "probability": 0.865234375}, {"start": 2509.65, "end": 2509.93, "word": " بحاول", "probability": 0.9388427734375}, {"start": 2509.93, "end": 2510.37, "word": " يتعرف", "probability": 0.887451171875}, {"start": 2510.37, "end": 2510.53, "word": " على", "probability": 0.837890625}, {"start": 2510.53, "end": 2510.69, "word": " ال", "probability": 0.826171875}, {"start": 2510.69, "end": 2510.97, "word": " complex", "probability": 0.80859375}, {"start": 2510.97, "end": 2511.25, "word": " shape", "probability": 0.476318359375}, {"start": 2511.25, "end": 2511.51, "word": " لأنه", "probability": 0.8304036458333334}, {"start": 2511.51, "end": 2511.93, "word": " بيعتمد", "probability": 0.880078125}, {"start": 2511.93, "end": 2512.11, "word": " على", "probability": 0.87060546875}, {"start": 2512.11, "end": 2512.23, "word": " ال", "probability": 0.78173828125}, {"start": 2512.23, "end": 2512.71, "word": " density", "probability": 0.9677734375}, {"start": 2512.71, "end": 2515.17, "word": " و", "probability": 0.287109375}, {"start": 2515.17, "end": 2515.65, "word": " بحاول", "probability": 0.8892822265625}, {"start": 2515.65, "end": 2515.97, "word": " يجد", "probability": 0.79052734375}, {"start": 2515.97, "end": 2516.23, "word": " لها", "probability": 0.5843505859375}], "temperature": 1.0}, {"id": 102, "seek": 253186, "start": 2517.02, "end": 2531.86, "text": "يتعرف على الـ clusters بناءً على ال density اللي موجودة لكن تبقى زي ما قلنا هل ال evaluation أو التقييم تبعي تبع أداء ال cluster صحيح أم لا بناءً على أداء ال clusters ومعرفة بعدد ال clusters الحقيقية لل data اللي موجودة", "tokens": [36081, 3615, 28480, 15844, 2423, 39184, 23313, 44945, 16606, 14111, 15844, 2423, 10305, 13672, 1829, 3714, 29245, 23328, 3660, 44381, 6055, 3555, 4587, 7578, 30767, 1829, 19446, 12174, 1211, 8315, 8032, 1211, 2423, 13344, 34051, 16712, 38436, 32640, 6055, 3555, 3615, 1829, 6055, 3555, 3615, 5551, 3215, 16606, 2423, 13630, 20328, 5016, 1829, 5016, 5551, 2304, 20193, 44945, 16606, 14111, 15844, 5551, 3215, 16606, 2423, 23313, 4032, 2304, 3615, 28480, 3660, 39182, 3215, 2423, 23313, 21542, 38436, 4587, 10632, 24976, 1412, 13672, 1829, 3714, 29245, 23328, 3660], "avg_logprob": -0.1947798342867331, "compression_ratio": 1.796875, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 2517.02, "end": 2517.56, "word": "يتعرف", "probability": 0.6783040364583334}, {"start": 2517.56, "end": 2517.7, "word": " على", "probability": 0.82373046875}, {"start": 2517.7, "end": 2517.78, "word": " الـ", "probability": 0.504638671875}, {"start": 2517.78, "end": 2518.12, "word": " clusters", "probability": 0.39306640625}, {"start": 2518.12, "end": 2518.5, "word": " بناءً", "probability": 0.68896484375}, {"start": 2518.5, "end": 2518.72, "word": " على", "probability": 0.79052734375}, {"start": 2518.72, "end": 2519.02, "word": " ال", "probability": 0.7587890625}, {"start": 2519.02, "end": 2519.42, "word": " density", "probability": 0.62109375}, {"start": 2519.42, "end": 2519.78, "word": " اللي", "probability": 0.740966796875}, {"start": 2519.78, "end": 2520.32, "word": " موجودة", "probability": 0.97265625}, {"start": 2520.32, "end": 2520.74, "word": " لكن", "probability": 0.609375}, {"start": 2520.74, "end": 2521.18, "word": " تبقى", "probability": 0.781494140625}, {"start": 2521.18, "end": 2521.36, "word": " زي", "probability": 0.6846923828125}, {"start": 2521.36, "end": 2521.44, "word": " ما", "probability": 0.96728515625}, {"start": 2521.44, "end": 2521.82, "word": " قلنا", "probability": 0.9357096354166666}, {"start": 2521.82, "end": 2522.5, "word": " هل", "probability": 0.76708984375}, {"start": 2522.5, "end": 2522.74, "word": " ال", "probability": 0.88671875}, {"start": 2522.74, "end": 2523.32, "word": " evaluation", "probability": 0.9736328125}, {"start": 2523.32, "end": 2523.56, "word": " أو", "probability": 0.85791015625}, {"start": 2523.56, "end": 2524.04, "word": " التقييم", "probability": 0.9508463541666666}, {"start": 2524.04, "end": 2524.38, "word": " تبعي", "probability": 0.9002685546875}, {"start": 2524.38, "end": 2524.64, "word": " تبع", "probability": 0.9021809895833334}, {"start": 2524.64, "end": 2524.88, "word": " أداء", "probability": 0.9108072916666666}, {"start": 2524.88, "end": 2524.96, "word": " ال", "probability": 0.9736328125}, {"start": 2524.96, "end": 2525.32, "word": " cluster", "probability": 0.92529296875}, {"start": 2525.32, "end": 2525.78, "word": " صحيح", "probability": 0.9974365234375}, {"start": 2525.78, "end": 2525.94, "word": " أم", "probability": 0.7734375}, {"start": 2525.94, "end": 2526.1, "word": " لا", "probability": 0.89501953125}, {"start": 2526.1, "end": 2526.62, "word": " بناءً", "probability": 0.787109375}, {"start": 2526.62, "end": 2526.82, "word": " على", "probability": 0.892578125}, {"start": 2526.82, "end": 2527.74, "word": " أداء", "probability": 0.97705078125}, {"start": 2527.74, "end": 2527.9, "word": " ال", "probability": 0.97998046875}, {"start": 2527.9, "end": 2528.3, "word": " clusters", "probability": 0.58984375}, {"start": 2528.3, "end": 2528.86, "word": " ومعرفة", "probability": 0.88681640625}, {"start": 2528.86, "end": 2529.16, "word": " بعدد", "probability": 0.778076171875}, {"start": 2529.16, "end": 2529.26, "word": " ال", "probability": 0.970703125}, {"start": 2529.26, "end": 2529.68, "word": " clusters", "probability": 0.96533203125}, {"start": 2529.68, "end": 2530.58, "word": " الحقيقية", "probability": 0.96240234375}, {"start": 2530.58, "end": 2530.76, "word": " لل", "probability": 0.94140625}, {"start": 2530.76, "end": 2531.06, "word": " data", "probability": 0.9794921875}, {"start": 2531.06, "end": 2531.38, "word": " اللي", "probability": 0.97216796875}, {"start": 2531.38, "end": 2531.86, "word": " موجودة", "probability": 0.9871826171875}], "temperature": 1.0}, {"id": 103, "seek": 254751, "start": 2532.11, "end": 2547.51, "text": "نشوفكوا على خير ان شاء الله تعالى في المحاضرة هذه اتعرفنا على الكمين وشوفنا كيف نحسبه واتخرفنا على مزاياه وعيوبه التسجيل اللي جاي ان شاء الله تعالى هنتقل للـ Hierarchical Clustering السلام عليكم ورحمة الله", "tokens": [1863, 8592, 38688, 4117, 14407, 15844, 16490, 13546, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 8978, 9673, 5016, 46958, 25720, 29538, 1975, 2655, 3615, 28480, 8315, 15844, 2423, 24793, 9957, 4032, 8592, 38688, 8315, 9122, 33911, 8717, 5016, 35457, 3224, 4032, 9307, 9778, 28480, 8315, 15844, 3714, 11622, 995, 25528, 3224, 4032, 3615, 1829, 37746, 3224, 16712, 3794, 7435, 26895, 13672, 1829, 10874, 47302, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 8032, 29399, 4587, 1211, 24976, 39184, 10886, 1178, 804, 2033, 48673, 21136, 37440, 25894, 24793, 4032, 2288, 35571, 3660, 21984], "avg_logprob": -0.2590013570759607, "compression_ratio": 1.7524752475247525, "no_speech_prob": 6.556510925292969e-06, "words": [{"start": 2532.11, "end": 2532.65, "word": "نشوفكوا", "probability": 0.533837890625}, {"start": 2532.65, "end": 2532.75, "word": " على", "probability": 0.82763671875}, {"start": 2532.75, "end": 2532.97, "word": " خير", "probability": 0.990966796875}, {"start": 2532.97, "end": 2533.09, "word": " ان", "probability": 0.5283203125}, {"start": 2533.09, "end": 2533.23, "word": " شاء", "probability": 0.9580078125}, {"start": 2533.23, "end": 2533.31, "word": " الله", "probability": 0.912109375}, {"start": 2533.31, "end": 2533.79, "word": " تعالى", "probability": 0.9680989583333334}, {"start": 2533.79, "end": 2534.81, "word": " في", "probability": 0.285888671875}, {"start": 2534.81, "end": 2535.29, "word": " المحاضرة", "probability": 0.875244140625}, {"start": 2535.29, "end": 2535.57, "word": " هذه", "probability": 0.156005859375}, {"start": 2535.57, "end": 2536.31, "word": " اتعرفنا", "probability": 0.84169921875}, {"start": 2536.31, "end": 2536.47, "word": " على", "probability": 0.83447265625}, {"start": 2536.47, "end": 2537.13, "word": " الكمين", "probability": 0.6009114583333334}, {"start": 2537.13, "end": 2537.91, "word": " وشوفنا", "probability": 0.7540283203125}, {"start": 2537.91, "end": 2538.11, "word": " كيف", "probability": 0.9853515625}, {"start": 2538.11, "end": 2538.83, "word": " نحسبه", "probability": 0.9759521484375}, {"start": 2538.83, "end": 2539.67, "word": " واتخرفنا", "probability": 0.694775390625}, {"start": 2539.67, "end": 2539.85, "word": " على", "probability": 0.8681640625}, {"start": 2539.85, "end": 2540.53, "word": " مزاياه", "probability": 0.86640625}, {"start": 2540.53, "end": 2541.13, "word": " وعيوبه", "probability": 0.96630859375}, {"start": 2541.13, "end": 2542.27, "word": " التسجيل", "probability": 0.8865966796875}, {"start": 2542.27, "end": 2542.39, "word": " اللي", "probability": 0.71240234375}, {"start": 2542.39, "end": 2542.55, "word": " جاي", "probability": 0.71142578125}, {"start": 2542.55, "end": 2542.65, "word": " ان", "probability": 0.7841796875}, {"start": 2542.65, "end": 2542.81, "word": " شاء", "probability": 0.984130859375}, {"start": 2542.81, "end": 2542.87, "word": " الله", "probability": 0.935546875}, {"start": 2542.87, "end": 2543.19, "word": " تعالى", "probability": 0.95751953125}, {"start": 2543.19, "end": 2543.79, "word": " هنتقل", "probability": 0.8448486328125}, {"start": 2543.79, "end": 2543.99, "word": " للـ", "probability": 0.5164794921875}, {"start": 2543.99, "end": 2545.31, "word": " Hierarchical", "probability": 0.6630045572916666}, {"start": 2545.31, "end": 2545.87, "word": " Clustering", "probability": 0.9150390625}, {"start": 2545.87, "end": 2546.53, "word": " السلام", "probability": 0.76513671875}, {"start": 2546.53, "end": 2546.87, "word": " عليكم", "probability": 0.964111328125}, {"start": 2546.87, "end": 2547.35, "word": " ورحمة", "probability": 0.9713134765625}, {"start": 2547.35, "end": 2547.51, "word": " الله", "probability": 0.96875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2548.6454375, "duration_after_vad": 2409.165343749994}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..15f1675a032fa76ba00ae3e55b16256a0e1b9c02
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/9N2D6-T56oQ_raw.srt
@@ -0,0 +1,2124 @@
+1
+00:00:00,000 --> 00:00:03,180
+بسم الله والحمد لله و الصلاة والسلام علي رسول الله
+
+2
+00:00:03,180 --> 00:00:06,300
+أهلا وسهلا بكم في الدوس التاني من chapter ال
+
+3
+00:00:06,300 --> 00:00:10,140
+clustering كنا في التسجيل السابق تكلمنا عن ال
+
+4
+00:00:10,140 --> 00:00:12,640
+clustering بشكل عام وقلت ال clustering هي عبارة عن
+
+5
+00:00:12,640 --> 00:00:17,820
+تقسيم ال data set إلى مجموعات محددة عددها مسبقا
+
+6
+00:00:17,820 --> 00:00:22,870
+بناء على تقارب أو تشابهالـ instances اللي موجودة
+
+7
+00:00:22,870 --> 00:00:27,250
+في ال data set اللي موجودة يعنى وكنا خلصنا في
+
+8
+00:00:27,250 --> 00:00:29,990
+نهاية المحاضرة انه احنا فعل .. او في نهاية التسجيل
+
+9
+00:00:29,990 --> 00:00:35,410
+عفوا ان احنا فعليا ال .. ال clustering واحد من
+
+10
+00:00:35,410 --> 00:00:39,130
+اتنين اما partition ال clustering او hierarchical
+
+11
+00:00:39,130 --> 00:00:42,110
+clustering فال partition ال clustering معناته ان
+
+12
+00:00:42,110 --> 00:00:44,110
+انا بتكون ال groups او المجموعات اللي عندي
+
+13
+00:00:44,110 --> 00:00:47,690
+disjoint مافيش بينها او non overlapped مافيش في
+
+14
+00:00:47,690 --> 00:00:52,660
+بينهم تقاطعفي الاناصر يعني كل element موجود في
+
+15
+00:00:52,660 --> 00:00:55,660
+مجموعة واحدة فقط لكن بالـ Hierarchical Clustering
+
+16
+00:00:55,660 --> 00:00:58,540
+لما انا بكون في عنده Hierarchical Tree أو في عنده
+
+17
+00:00:58,540 --> 00:01:01,000
+Hierarchical معينة لأ بيصير في عنده ممكن ال
+
+18
+00:01:01,000 --> 00:01:05,380
+element اللي بينتمي لأكثر من cluster تماما مثل
+
+19
+00:01:05,380 --> 00:01:09,620
+علاقة الأعداد أو المجموعات الأرقام مع بعضها اليوم
+
+20
+00:01:09,620 --> 00:01:13,100
+ان شاء الله تعالى زي ما احنا متفقين انه هنبلش في
+
+21
+00:01:13,100 --> 00:01:19,190
+موضوع ال Partitional Clusteringطبعاً لما أتكلم على
+
+22
+00:01:19,190 --> 00:01:27,050
+الـ Partition & Clustering يعني أنني أتكلم على ..
+
+23
+00:01:27,050 --> 00:01:31,110
+عفوا تمام
+
+24
+00:01:31,110 --> 00:01:32,030
+أنا أريد الـ pointer
+
+25
+00:01:34,890 --> 00:01:37,510
+عندما أتكلم عن الـ Partitional Clustering يعني
+
+26
+00:01:37,510 --> 00:01:42,010
+أنني أبحث عن الـ Natural Groups للـ Components
+
+27
+00:01:42,010 --> 00:01:45,390
+اللي موجودة عندي على ال data اللي موجودة بناء على
+
+28
+00:01:45,390 --> 00:01:50,110
+تشابه معين أو بعض التشابه في العناصر اللي موجودة
+
+29
+00:01:50,110 --> 00:01:54,890
+عندها وبالتالي ال cluster هنا في ال Partitional
+
+30
+00:01:54,890 --> 00:01:58,390
+Clustering أنا أجسم العناصر زي ما قلنا مجموعات أو
+
+31
+00:01:58,390 --> 00:02:00,930
+توزيع طبيعي أو أبحث عن توزيع طبيعي لل data بحيث
+
+32
+00:02:00,930 --> 00:02:06,420
+أنه يكون عند كل element موجود في مجموعة واحدةوفي
+
+33
+00:02:06,420 --> 00:02:09,900
+نفس
+
+34
+00:02:09,900 --> 00:02:14,960
+الوقت، الـ Clustering Algorithm يدّيني الـ
+
+35
+00:02:14,960 --> 00:02:20,080
+Centroid أو النقطة الأساسية التي تتمثل مركز الـ
+
+36
+00:02:20,080 --> 00:02:24,860
+Centerأو بتمثل المركز تبعت ال cluster اللي موجود
+
+37
+00:02:24,860 --> 00:02:29,260
+عندها المركز ال cluster أو المجموعة اللي موجودة
+
+38
+00:02:29,260 --> 00:02:35,460
+عندها عشان أحدد العضوية ال cluster هذا يعني انا زي
+
+39
+00:02:35,460 --> 00:02:40,140
+ما قلنا سابقا هي عبارة عن مجموعات معروفة مسبقا
+
+40
+00:02:40,140 --> 00:02:51,760
+يعني واحدتلت مجموعات ترقيم
+
+41
+00:02:51,760 --> 00:02:58,800
+مجرد اسم للمجموعة عشان هيك انا بحدد عضوية
+
+42
+00:02:58,800 --> 00:03:04,840
+المجموعات ال algorithm بياخد ال data points اللي
+
+43
+00:03:04,840 --> 00:03:10,210
+موجودة عندى هنا وبحسب ال instances ما بينهموبين
+
+44
+00:03:10,210 --> 00:03:12,690
+الـ Centroid اللي موجودة عندها طب ال Centroid اللي
+
+45
+00:03:12,690 --> 00:03:15,110
+هي ال centers اللي اتفقنا عليها مش موجودة عندى اول
+
+46
+00:03:15,110 --> 00:03:18,510
+مرة بياخدها بشكل عشوائي و بروح بجسم يعنى بروح
+
+47
+00:03:18,510 --> 00:03:23,190
+بياخد مجموعة طبعا الان في عندى المجموعة بتكون شفاي
+
+48
+00:03:23,190 --> 00:03:27,010
+لما يكون فيها على الأقل عنصر واحد فإيش هو بروح
+
+49
+00:03:27,010 --> 00:03:30,690
+بفترض بروح بفترض ان كل مجموعة بتبدأ بعنصر واحد
+
+50
+00:03:30,690 --> 00:03:34,430
+اللي هو بمثل ال center و بصير بعد ذلك يدور على
+
+51
+00:03:36,540 --> 00:03:39,920
+العضوية المجموعات على قرب الـ element من الـ
+
+52
+00:03:39,920 --> 00:03:42,800
+center هذا كل مكان قريب ل center من التلاتة هدول
+
+53
+00:03:42,800 --> 00:03:45,880
+فهو بيتم ال مجموعة اللي بتمثلها ال center اللي
+
+54
+00:03:45,880 --> 00:03:50,500
+موجود عندها و ال output طبعا من ال algorithm هذا
+
+55
+00:03:50,500 --> 00:03:55,170
+هي عبارة عن عمليةdescription أو statistical
+
+56
+00:03:55,170 --> 00:03:59,670
+description وصف إحصائي لل data set الموجودة مين هو
+
+57
+00:03:59,670 --> 00:04:03,490
+ال centroid وإيش هي البيانات اللي موجودة عليه وإيش
+
+58
+00:04:03,490 --> 00:04:07,890
+هي البيانات اللي موجودة في داخل ال clusters ال
+
+59
+00:04:07,890 --> 00:04:11,470
+cluster اللي موجود عندها طبعاً لما أنا بتكلم انه
+
+60
+00:04:11,470 --> 00:04:14,450
+كي عند الكيمين ال cluster algorithm من أشهر ال
+
+61
+00:04:14,450 --> 00:04:17,390
+algorithm وأبسطها في الفهم في اللي استخدم مع ال
+
+62
+00:04:17,390 --> 00:04:22,040
+cluster طبعاً كي العددالذي نتكلم عليه و الـ means
+
+63
+00:04:22,040 --> 00:04:25,820
+المقصود فيه المتوسط الحسابي للنقاط اللي موجود
+
+64
+00:04:25,820 --> 00:04:33,240
+عندها ال .. طبعاً قلنا أبسط algorithm وهو الأكثر
+
+65
+00:04:33,240 --> 00:04:36,880
+استخدامه في عملية ال clusterings الموجودة بدور على
+
+66
+00:04:36,880 --> 00:04:40,960
+center يجتهد ال algorithm أو ال algorithm بحاول
+
+67
+00:04:40,960 --> 00:04:46,300
+يدور على centers و بال center هذا بمثلمطبقة معينة
+
+68
+00:04:46,300 --> 00:04:50,380
+بتمثل ال cluster و بضل يعيد في العملية اللى موجودة
+
+69
+00:04:50,380 --> 00:04:54,360
+عندى هن هم عبارة عن قطبتين زى ما قولنا بروح باخد
+
+70
+00:04:54,360 --> 00:04:59,260
+center و ال center هذا بروح بجيب العناص بشوف من
+
+71
+00:04:59,260 --> 00:05:02,540
+العناص القريبة منه لحسب عنه يعني لو انا قلتله في
+
+72
+00:05:02,540 --> 00:05:06,500
+عندي مثلا اربع مجموعات معناته في عندي اربع نقاط
+
+73
+00:05:06,500 --> 00:05:09,900
+رئيسية اربع نقاط مركزية اللى هى ال centers تبع ال
+
+74
+00:05:09,900 --> 00:05:12,860
+clusters المجموعات اللى عندي و عليها ببدأ يشتغل
+
+75
+00:05:12,860 --> 00:05:14,660
+الآن ال algorithm هذا بضل
+
+76
+00:05:19,120 --> 00:05:27,820
+يتكرر بتكرر في عمليتين الأولى بروح بخصص كل data
+
+77
+00:05:27,820 --> 00:05:33,420
+point لل cluster center يعني الآن المفروض تبعا
+
+78
+00:05:33,420 --> 00:05:37,580
+لهذه بروح بحدد قرب أو بعض العناصر أو شبه
+
+79
+00:05:37,580 --> 00:05:43,180
+similarity بحدد تشابه العناصر ال data instances مع
+
+80
+00:05:43,180 --> 00:05:48,220
+ال centers اللي موجودين عندهاوبالتالي بروح بخصصلي
+
+81
+00:05:48,220 --> 00:05:52,060
+إياها لل center الأقرب ومن أجل تحقيق هذا الكلام في
+
+82
+00:05:52,060 --> 00:05:55,140
+عندي distance function أو similarity function اللي
+
+83
+00:05:55,140 --> 00:06:02,720
+عادة بنسميها distance المفهوم distance أكثر في
+
+84
+00:06:02,720 --> 00:06:07,840
+الأرقامالان في الـ Included Distance و الـ
+
+85
+00:06:07,840 --> 00:06:10,360
+Manhattan Distance شوفناهم سابقاً و هنشوفهم الآن
+
+86
+00:06:10,360 --> 00:06:13,820
+كأن نذكر بعض فيهم جاكارد و Spearsman و Spearman
+
+87
+00:06:13,820 --> 00:06:17,680
+عفوا و الهامينج و الكوزاين بعد هي كد لما بروح بدور
+
+88
+00:06:17,680 --> 00:06:21,860
+ال algorithm بظل يكرر في العملية هذه و بخصص ال
+
+89
+00:06:21,860 --> 00:06:24,940
+instances اللي ال cluster لما يكون في .. لما يثبت
+
+90
+00:06:24,940 --> 00:06:28,000
+و يبطل تتغير أو يصير فيه يعني تغيير على ال data
+
+91
+00:06:28,000 --> 00:06:34,460
+اللي موجودةبنذكر مع بعض الـ distance function أو
+
+92
+00:06:34,460 --> 00:06:39,880
+الـ similarity function لما تكون ال instance عبارة
+
+93
+00:06:39,880 --> 00:06:41,480
+عن مجموعة من الأرقام
+
+94
+00:06:45,320 --> 00:06:47,560
+طبعا اللي بنتكلم احنا جاعدين ان ال distance
+
+95
+00:06:47,560 --> 00:06:49,860
+function هذه او ال similarity function سمناها
+
+96
+00:06:49,860 --> 00:06:53,780
+similarity او distance function لانه ال .. ال ..
+
+97
+00:06:53,780 --> 00:06:58,560
+لما انا بده اوصف rows او بده اوصف ارقام قربها او
+
+98
+00:06:58,560 --> 00:07:02,720
+بعضها من بعضها او تشابهها من بعضها معناه ان انا
+
+99
+00:07:02,720 --> 00:07:05,580
+جاعل بتكلم على نقاط طبعا لما انا برثم ال object
+
+100
+00:07:05,580 --> 00:07:10,120
+تكون موجود عندى في ال space او مرسومة عندىحتما
+
+101
+00:07:10,120 --> 00:07:13,900
+النقطين المتقاربات المسافة اللي بينهم بالدليل على
+
+102
+00:07:13,900 --> 00:07:18,680
+تشابه العناصر اللي موجودة بينهم طبعا شوية شوية
+
+103
+00:07:18,680 --> 00:07:23,260
+هتصير الأمور بالنسبة لنا أفضل لو أنا قلت لك في ال
+
+104
+00:07:23,260 --> 00:07:25,600
+space هذا على سبيل المثال أو قلت لك في ال space
+
+105
+00:07:25,600 --> 00:07:34,440
+هذا قلت ان في نقطين هذول نقطة هنا ونقطة
+
+106
+00:07:34,440 --> 00:07:37,520
+هنا ونقطة هنا
+
+107
+00:07:41,060 --> 00:07:48,240
+من اكثر نقطين متشابهتين او بلاش اقرب نقطين لبعض
+
+108
+00:07:48,240 --> 00:07:53,720
+حتم
+
+109
+00:07:53,720 --> 00:07:59,940
+النقطين اللي بينهم ال distance اصغر ما يمكن طيب
+
+110
+00:07:59,940 --> 00:08:08,520
+لو انا جدي قلت ان في عندى نقطة هنا غير اللون بس لو
+
+111
+00:08:08,520 --> 00:08:09,820
+قلت ان في عندى نقطة هنا
+
+112
+00:08:16,490 --> 00:08:19,670
+النقطة هذه أقرب لمين؟ لو انا قلت لك هذه النقطة
+
+113
+00:08:19,670 --> 00:08:24,570
+تشبه مين؟ تشبه مين؟ مافيش شبه هذه نقطة موجودة في
+
+114
+00:08:24,570 --> 00:08:29,690
+ال space معناته انا هروح أحسب مسافتها ومسافتها
+
+115
+00:08:29,690 --> 00:08:35,250
+والمسافة الأقصر هي بتمثل .. هي بتكون أقرب لمين
+
+116
+00:08:35,250 --> 00:08:39,730
+للنقطة اللي موجودة عندها طبعا احنا كلنا نعرف سابقا
+
+117
+00:08:39,730 --> 00:08:44,770
+زي ما قلنا المنهات و ال distance اللي موجودةعنا لو
+
+118
+00:08:44,770 --> 00:08:50,090
+انا افترض ان في عندى 2 نقطين ال X و ال Y كانت 2
+
+119
+00:08:50,090 --> 00:08:54,410
+points و ال 2 points هدول انا بدى احسب ال distance
+
+120
+00:08:54,410 --> 00:08:57,510
+بينهم لما اتكلم عن ال Euclidean انا بتكلم عن الجدر
+
+121
+00:08:57,510 --> 00:09:03,550
+الترديعي لمجموع مربعات الفروق ما بين مكونات
+
+122
+00:09:03,550 --> 00:09:06,450
+النقطين اللى موجودة عندى
+
+123
+00:09:09,550 --> 00:09:16,450
+وطبعاً كذلك الان مع الان بينما المنهات ال distance
+
+124
+00:09:16,450 --> 00:09:20,970
+هي عبارة عن مجموع القيم المطلقة للفروق ما بين
+
+125
+00:09:20,970 --> 00:09:24,270
+مكونات النقاط اللي موجودة عنا
+
+126
+00:09:26,900 --> 00:09:31,120
+و طبعا هاي قولنا احنا سابقا انه انا لما بتكلم على
+
+127
+00:09:31,120 --> 00:09:36,820
+منهار بتكلم على ال Euclidean معناته بتكلم على الخط
+
+128
+00:09:36,820 --> 00:09:40,200
+المستقيم اللي باللون الأخضر هذا اللي هو بتطبق
+
+129
+00:09:40,200 --> 00:09:43,840
+نظرية في ال course بين اي نقطين و لما بتكلم على
+
+130
+00:09:43,840 --> 00:09:47,960
+المنهار تاني معناته بتكلم على الدقاق اللي موجودة
+
+131
+00:09:47,960 --> 00:09:53,860
+عندها شكلي لما خدت العناصر
+
+132
+00:09:57,090 --> 00:10:12,650
+ماعدلتش الرسم تبعتي كده
+
+133
+00:10:12,650 --> 00:10:13,030
+صح
+
+134
+00:10:19,600 --> 00:10:26,360
+الان لو انا بدأ اخد نظرة في جيف الفايل الجيف بكتشر
+
+135
+00:10:26,360 --> 00:10:30,800
+اللي موجودة قدامي اللحظه انا بتكلم على عشرة
+
+136
+00:10:30,800 --> 00:10:34,180
+iterationأنا بدأت من iteration رقم واحد اتنين
+
+137
+00:10:34,180 --> 00:10:38,160
+تلاتة اربعة و لاحظوا معايا ان المربعات هذه هي ال
+
+138
+00:10:38,160 --> 00:10:41,920
+center او ال centroid لل clusters انا بقول جسم ال
+
+139
+00:10:41,920 --> 00:10:45,200
+data لاربع مجموعات و ال data هاي كلها مختلطة مع
+
+140
+00:10:45,200 --> 00:10:49,420
+بعضها بدأت الانس بناء على ال centers الألوان تتوجه
+
+141
+00:10:49,420 --> 00:10:53,700
+مع بعض مع كل iteration وهذا فعليا اللي بسوي ال K
+
+142
+00:10:53,700 --> 00:10:59,170
+meanانه بياخد random center في الأول و بعدها بيحسب
+
+143
+00:10:59,170 --> 00:11:02,210
+ال distance بين ال centers هاي و كل النقاط اللي
+
+144
+00:11:02,210 --> 00:11:06,950
+موجودة و كل النقطة بتصنف مع ال center بناء على
+
+145
+00:11:06,950 --> 00:11:10,610
+shortest distance أو ال similarity function اللي
+
+146
+00:11:10,610 --> 00:11:15,350
+احنا بنعرفهاكصورة ثابتة هي ال data set روحت قولتله
+
+147
+00:11:15,350 --> 00:11:18,990
+جسملي اياهم لمجموعات فراح اخدت تلات مجموعات طبعا
+
+148
+00:11:18,990 --> 00:11:23,270
+هان اللي هي اخدت المثلثات هتمثلت three different
+
+149
+00:11:23,270 --> 00:11:27,970
+centers ايهم حتى لو كان لان ال selection الاولى لل
+
+150
+00:11:27,970 --> 00:11:31,170
+centers الاولية by random حتى لو كانوا كلهم
+
+151
+00:11:31,170 --> 00:11:35,210
+موجودين مع بعض الا غير انه بيشتغل في ال .. لو اجوا
+
+152
+00:11:35,210 --> 00:11:38,220
+كلهم في نفس ال center ماعندي مشكلةلأنه بعد ذلك
+
+153
+00:11:38,220 --> 00:11:44,220
+سيقوم باختيار الـ average أو الـ main تبعتهم فقال
+
+154
+00:11:44,220 --> 00:11:47,440
+لي هاي ال data افترض في ال initialization زي ما
+
+155
+00:11:47,440 --> 00:11:50,820
+قلنا هى ياخذ ال random centers three centers حسب
+
+156
+00:11:50,820 --> 00:11:55,980
+المطلوب by random وراح بدأ يخصص المجموعات فراح بدأ
+
+157
+00:11:55,980 --> 00:11:56,440
+يحسب
+
+158
+00:12:01,830 --> 00:12:04,830
+اللي قلنا أننا هنعمل initialization حطّد الـ three
+
+159
+00:12:04,830 --> 00:12:09,710
+-centroid أو الـ three-center by random و بعد هيك
+
+160
+00:12:09,710 --> 00:12:13,130
+بدأ يخصص النقاط بناء على ال distance طبعا يا جماعة
+
+161
+00:12:13,130 --> 00:12:16,210
+الخير لما انا بدي اجي اتكلم النقطة high أو النقطة
+
+162
+00:12:16,210 --> 00:12:22,490
+high high distance هان و هحسبها مع هان و هحسبها مع
+
+163
+00:12:22,490 --> 00:12:31,520
+هان و هصنفها لأقرب center لأقصر مسافةوبالتالي
+
+164
+00:12:31,520 --> 00:12:35,000
+الأحمر هنا صارت هذه كل النقاط طبعا هذه النقاط هي
+
+165
+00:12:35,000 --> 00:12:37,680
+أقرب للأخضر وهذه الأزرق فضلك في ال iteration
+
+166
+00:12:37,680 --> 00:12:43,670
+التانية الآن في الخطوة التاليةأسرح سواهي يتحدد
+
+167
+00:12:43,670 --> 00:12:48,470
+الأحمر كلياته الأزرق فرح حسب المتوسط لكل النقاط
+
+168
+00:12:48,470 --> 00:12:51,770
+اللي باللون الأخضر المتوسط لكل النقاط اللي بالأحمر
+
+169
+00:12:51,770 --> 00:12:55,830
+المتوسط لكل النقاط اللي بالأزرق الداكن بينجوسين
+
+170
+00:12:55,830 --> 00:12:58,870
+يعني حسب ال main لكل ال cluster بشكل مستقل
+
+171
+00:12:58,870 --> 00:13:02,610
+والمتوسط هذا هو أخدوا ال centroid لل next
+
+172
+00:13:02,610 --> 00:13:06,750
+iteration recompute ال center هي حسب ال center من
+
+173
+00:13:06,750 --> 00:13:12,020
+جديدو راح ايش بدأ reassigning بدا يروح يعمل ال
+
+174
+00:13:12,020 --> 00:13:15,780
+center التاني و بعدها بحسب بعد ما بخلص بحسب ال
+
+175
+00:13:15,780 --> 00:13:19,640
+center كمان مرة و بروح بخصص النقاط و بحسب ال
+
+176
+00:13:19,640 --> 00:13:24,700
+center كمان مرة و بخصص النقاط لحد ما يصير بعد هيك
+
+177
+00:13:24,700 --> 00:13:27,940
+ان ال center مايصيرش فيه عليه تغيير او بينجوسين
+
+178
+00:13:27,940 --> 00:13:32,140
+تبطل النقاط تتنقل تتنقل ما بين ال cluster و التاني
+
+179
+00:13:32,140 --> 00:13:35,080
+طبعا هذا هو لكن
+
+180
+00:13:38,840 --> 00:13:43,860
+النجاح الكيميي بيعتمد على عدد ال clusters اللي انا
+
+181
+00:13:43,860 --> 00:13:49,080
+بطلبه يعني كل ما قلتله ديني عدد cluster صح بكون
+
+182
+00:13:49,080 --> 00:13:53,140
+انا بشتغل صح طبعا انا لو قلتلكوا ال data هاي و قلت
+
+183
+00:13:53,140 --> 00:13:56,640
+له two clusters هيديني اياهم اتنين لكن في حين قبل
+
+184
+00:13:56,640 --> 00:14:00,080
+شوية هي نفس ال data اللي موجودة هاد شفناها و انهم
+
+185
+00:14:00,080 --> 00:14:00,980
+منفع يكونوا تلاتة
+
+186
+00:14:09,150 --> 00:14:16,210
+التقسيم يعتمد على عدد ال clusters أو ال k التي
+
+187
+00:14:16,210 --> 00:14:24,470
+أطلبها منه تعالى نشوف بقول في المثال الأول لجسم ال
+
+188
+00:14:24,470 --> 00:14:27,510
+data اللى موجودة عنده ل two clusters
+
+189
+00:14:30,430 --> 00:14:35,150
+الخطوة رقم واحد ان انا هشتغل على random center
+
+190
+00:14:35,150 --> 00:14:44,570
+random center معناته خليني اخد ال C1 equal 3 و C2
+
+191
+00:14:44,570 --> 00:14:48,170
+equal 4 طبعا عادة ان ال random selection بتمن خلال
+
+192
+00:14:48,170 --> 00:14:51,850
+ال data set اللي موجودة الان الخطوة التالية هروح
+
+193
+00:14:51,850 --> 00:14:56,730
+احسب ال distance او المسافة بين كل element و ال
+
+194
+00:14:56,730 --> 00:15:01,460
+two centers اللي موجودينعندي و ال two centers اللي
+
+195
+00:15:01,460 --> 00:15:10,240
+موجودين عندى خليني انا امسحهم بس عشان نوضح ايش
+
+196
+00:15:10,240 --> 00:15:19,940
+اللي هيصير الآن بعد هيك زي ما قلنا هيكون هياخد ال
+
+197
+00:15:19,940 --> 00:15:22,960
+element هذا كل element و يحسبه مع ال center الأول
+
+198
+00:15:24,010 --> 00:15:28,910
+ويحسب الـ distance مع الـ center التاني ويخصصه أو
+
+199
+00:15:28,910 --> 00:15:31,550
+يحطه في المجموع يعني بين قصين هو الآن أنشأ
+
+200
+00:15:31,550 --> 00:15:38,550
+مجموعتين فارغات أنشأ مجموعتين فارغات تمام فيهم في
+
+201
+00:15:38,550 --> 00:15:42,930
+centers فقط مثلتهم تلاتة أو أربعة وراح هيضيف
+
+202
+00:15:42,930 --> 00:15:47,490
+العناصر في المجموعتين هدول بناء على بعض أو قرب أو
+
+203
+00:15:47,490 --> 00:15:51,090
+تشابه ال element لما لل centers اللي موجودين هنا
+
+204
+00:15:52,930 --> 00:15:58,970
+تنين ناقص تلاتة واحد تنين ناقص اربعة اتنين فال
+
+205
+00:15:58,970 --> 00:16:04,450
+distance ل C واحد اكثر فصنّف ليها هان اربعة ل واحد
+
+206
+00:16:04,450 --> 00:16:08,250
+اربعة مع تلاتة واحد اربعة مع اربعة صفر اللي هي ال
+
+207
+00:16:08,250 --> 00:16:11,150
+distance الفرق اللي ما بينهم راحظوا أنا كنت بتكلم
+
+208
+00:16:11,150 --> 00:16:12,050
+عن absolute value
+
+209
+00:16:18,660 --> 00:16:23,420
+عشرة لتلاتة سبعة عشرة لاربعة ستة معناته مع ال
+
+210
+00:16:23,420 --> 00:16:29,040
+cluster التاني اتناشر لتلاتة تسعة اتناشر لاربعة
+
+211
+00:16:29,040 --> 00:16:32,120
+تمانية معناته مع ال cluster التاني تلاتة تلاتة
+
+212
+00:16:32,120 --> 00:16:36,040
+لتلاتة صفر تلاتة لاربعة واحد معناته مع ال cluster
+
+213
+00:16:36,040 --> 00:16:41,400
+الأولشوفت كيف لا حد ما تخلص ال data set ممتاز خلصت
+
+214
+00:16:41,400 --> 00:16:44,840
+ال data set الآن بروح باخد المتوسط تبع ال cluster
+
+215
+00:16:44,840 --> 00:16:50,320
+الأول وهذه ال center الجديد و باخد المتوسط تبع ال
+
+216
+00:16:50,320 --> 00:16:54,640
+cluster التاني وهذه ال center الجديد تبعتها و بعيد
+
+217
+00:16:54,640 --> 00:16:59,980
+الكرة تبع اللمين لل center الجديدة تمام الآن من
+
+218
+00:16:59,980 --> 00:17:03,940
+وين الكرة مع ال data set الأصلية تنين مع اتنين و
+
+219
+00:17:03,940 --> 00:17:10,760
+نص نص لل cluster الأولأربعة في المقارنة مع ستة عشر
+
+220
+00:17:10,760 --> 00:17:14,220
+طبعاً انا بتكلم اربعة لاتنين و نص واحد و نص اربعة
+
+221
+00:17:14,220 --> 00:17:21,120
+على ستة عشر معناته بتكلم احد عشر اتن عشر احد عشر و
+
+222
+00:17:21,120 --> 00:17:21,360
+نص
+
+223
+00:17:24,250 --> 00:17:30,690
+أربعة ل .. أربعة
+
+224
+00:17:30,690 --> 00:17:33,830
+ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل ..
+
+225
+00:17:33,830 --> 00:17:33,830
+أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة
+
+226
+00:17:33,830 --> 00:17:33,990
+ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل ..
+
+227
+00:17:33,990 --> 00:17:34,930
+أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة
+
+228
+00:17:34,930 --> 00:17:35,370
+ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل ..
+
+229
+00:17:35,370 --> 00:17:35,430
+أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة
+
+230
+00:17:35,430 --> 00:17:36,570
+ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل ..
+
+231
+00:17:36,570 --> 00:17:38,710
+أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة
+
+232
+00:17:38,710 --> 00:17:39,850
+ل .. أربعة ل .. أربعة ل .. أربعة ل .. أربعة ل ..
+
+233
+00:17:39,850 --> 00:17:44,650
+أربعة ل .. أربعة ل ..
+
+234
+00:17:44,650 --> 00:17:49,210
+أربعة
+
+235
+00:17:49,210 --> 00:17:55,680
+لبأوقف و ببطل الشغل لما فعليا ال cluster أو ال
+
+236
+00:17:55,680 --> 00:18:01,100
+center بعد هيك تثبت لماذا؟ إذا ثبتت ال cluster أو
+
+237
+00:18:01,100 --> 00:18:03,640
+ال center اللي موجودة عندي هنا معناته أنا مافيش
+
+238
+00:18:03,640 --> 00:18:08,180
+عندي تليير بعد هيك بنجوسينت صار فيه ثبات و هيك صار
+
+239
+00:18:08,180 --> 00:18:11,340
+في عندي كل نقطة موجودة في ال cluster الحقيقي اللي
+
+240
+00:18:11,340 --> 00:18:14,660
+موجود عندك وبعد هيك ستكون كل iteration على الفاضي
+
+241
+00:18:15,590 --> 00:18:17,970
+لماذا؟ لأن الـ Center لم يتغير بمعنى التوزيع كما
+
+242
+00:18:17,970 --> 00:18:22,910
+هي و هذه هي أخر توزيع أحصل عليها طيب، تعالى نطبق
+
+243
+00:18:22,910 --> 00:18:26,990
+نفس المثال لكن مع more dimension في الـ2D بقول أنا
+
+244
+00:18:26,990 --> 00:18:31,710
+فيه عندي data set مكونة من تمام نقاط اللي بتجسمهم
+
+245
+00:18:31,710 --> 00:18:35,730
+ل three clusters باعتماد على المنهاتين distance
+
+246
+00:18:35,730 --> 00:18:42,570
+هذه النقاط اللي موجودة عندها طيب،
+
+247
+00:18:42,570 --> 00:18:49,280
+by random؟لازم اختار center اخدنا اتنين و عشرة و
+
+248
+00:18:49,280 --> 00:18:53,580
+اخدنا خمسة و تمانية و اخدنا واحد و اتنين بينفع
+
+249
+00:18:53,580 --> 00:18:56,600
+التلاتة تكون ورا بعض بينفع random الكلام random
+
+250
+00:18:56,600 --> 00:19:02,320
+جماعة الخير و بدك تشتغل و تشتغل ال distance زى ما
+
+251
+00:19:02,320 --> 00:19:05,640
+قولنا هي بتقعد تتكلم و تقول انت ماتستخدم المنهاتن
+
+252
+00:19:05,640 --> 00:19:13,370
+المنهاتن distance المعرفةالمجموع .. المجموع القيم
+
+253
+00:19:13,370 --> 00:19:19,270
+المطلقة للفرقات بين عناصر النقاط اللى موجودة عندى
+
+254
+00:19:19,270 --> 00:19:24,330
+أسهل حاجة هيك ان انا اروح انش جدول بالشكل هذا هى
+
+255
+00:19:24,330 --> 00:19:28,230
+ال data point اللى عندى وهى ال centers ال initial
+
+256
+00:19:28,230 --> 00:19:36,450
+centers C1 وC2 وC3طيب الآن بدروح أحسب ال distance
+
+257
+00:19:36,450 --> 00:19:43,430
+صفر اتنين نقص اتنين صفر زائد عشرة نقص عشرة صفر صفر
+
+258
+00:19:43,430 --> 00:19:51,230
+اتنين نقص خمسة تلاتة زائد عشرة نقص اتنين عشرة نقص
+
+259
+00:19:51,230 --> 00:19:58,990
+تمانية اتنين يعني مجموعة خمسة اتنين نقص واحد واحد
+
+260
+00:19:58,990 --> 00:20:02,530
+زائد عشرة نقص اتنين تمانية
+
+261
+00:20:05,340 --> 00:20:11,700
+الان مباشرة بقدر اقرر ان هذا اقصرDistance موجودة
+
+262
+00:20:11,700 --> 00:20:15,460
+اللي هي الصفر معناته هذا أقرب ما يكون من ال
+
+263
+00:20:15,460 --> 00:20:19,420
+cluster الرقم واحد من ال center الأول فهو بينتمل
+
+264
+00:20:19,420 --> 00:20:23,980
+ال cluster الأول بعيد الكرة مرة تانية اتنين ناقص
+
+265
+00:20:23,980 --> 00:20:30,000
+اتنين صفر خمسة ناقص عشرة خمسة هي خمسة الآن اتنين
+
+266
+00:20:30,000 --> 00:20:37,850
+ناقص خمسة تلاتة خمسة ناقص تمانية تلاتة معناته ستة2
+
+267
+00:20:37,850 --> 00:20:45,330
+-1 1 5-2 3 1 3 4 يعني الـ distance الأقصر هي عبارة
+
+268
+00:20:45,330 --> 00:20:48,630
+عن الأربعة فهذا أقرب ما يكون لك لل cluster رقم
+
+269
+00:20:48,630 --> 00:20:56,310
+تلاتة مع كذلك هنا 8-2 6 4-10 6 طبعا ليش أربعة نقص
+
+270
+00:20:56,310 --> 00:20:58,870
+عشرة ستة لما نتكلم بال absolute value من هاتين
+
+271
+00:20:58,870 --> 00:21:03,640
+distance ما تنسوشالـ distance التانية سبعة الـ
+
+272
+00:21:03,640 --> 00:21:07,900
+distance التالتة التاسعة معناته أنا أقصر مسافة
+
+273
+00:21:07,900 --> 00:21:13,640
+تسعة معناته في ال cluster التاني خمسة صفر لاحظوا
+
+274
+00:21:13,640 --> 00:21:16,620
+لأن ال data set أو ال centers أخدتها معايا فلازم
+
+275
+00:21:16,620 --> 00:21:20,080
+تطلع معايا أصفر بشكل أو بأخر لأ في أي حسب ال
+
+276
+00:21:20,080 --> 00:21:23,920
+center اللي موجود عندها فلما حسبنا تمام تمام حسبنا
+
+277
+00:21:23,920 --> 00:21:31,360
+كل ال distances وزعنا التمن عناصرعلى ال classes
+
+278
+00:21:31,360 --> 00:21:37,460
+اللي موجودة يعني a1 في c1 من ال cluster الأول a2 و
+
+279
+00:21:37,460 --> 00:21:44,240
+a7 في ال cluster التالت a3 و a4 و a5 و 6 و 8 في ال
+
+280
+00:21:44,240 --> 00:21:50,120
+cluster التاني تمام هذه التوزيع اللي عندى بناء على
+
+281
+00:21:50,120 --> 00:21:55,100
+ال clusters اللي موجودة عندها إيش المطلوب مني الآن
+
+282
+00:21:55,100 --> 00:21:59,960
+المطلوب مني الآن أحسب ال main لكل cluster
+
+283
+00:22:03,450 --> 00:22:06,670
+يعني متوسط النقاط اللي في اللون الأسود في ال
+
+284
+00:22:06,670 --> 00:22:10,530
+cluster الأول هيهم بروح بجمع النقاط اللي بتاخد
+
+285
+00:22:10,530 --> 00:22:14,050
+واحد اللي في ال cluster الأول و بحسب المتوسط
+
+286
+00:22:14,050 --> 00:22:17,730
+تبعتها مافيش غير النقطة مانا في المتوسط تبعتها مثل
+
+287
+00:22:17,730 --> 00:22:21,070
+مغير هذا ال center ماتغيرش اللي باللون الأزرق هيهم
+
+288
+00:22:21,070 --> 00:22:28,650
+تنتين نين زائد واحد تلاتة يعني واحد ونص خمسةسبعة و
+
+289
+00:22:28,650 --> 00:22:32,550
+أثنين عفوا سبعة يعني تلاتة و نص هذا ال center
+
+290
+00:22:32,550 --> 00:22:36,570
+التالت ال center التاني هيكون عبارة عن تمانية
+
+291
+00:22:36,570 --> 00:22:41,930
+زيادة خمسة زيادة سبعتاش هي عشرين وهي ستة ستة و
+
+292
+00:22:41,930 --> 00:22:45,870
+عشرين هي تلاتين تلاتين على واحد اتنين تلاتة اربع
+
+293
+00:22:45,870 --> 00:22:53,500
+خمسة يعني ستةثلاثين على خمسة ستة و ايه في اندي هان
+
+294
+00:22:53,500 --> 00:23:03,800
+اتناش سبعتاش اتنين و عشرين اتناش
+
+295
+00:23:03,800 --> 00:23:08,200
+سبعتاش واحد و عشرين تلاتين برضه ستة و ستة معلنات
+
+296
+00:23:08,200 --> 00:23:12,260
+ال news centers تبعتي انا هتكون بعد الحسبة تبعتي
+
+297
+00:23:12,260 --> 00:23:19,780
+اتنين و عشرةبالمتوسطات 6 6 1.5 3.5
+
+298
+00:23:22,880 --> 00:23:26,580
+سينترز لاحظوا أنا ما زلت ماتكلم من ال first
+
+299
+00:23:26,580 --> 00:23:30,280
+iteration اللي موجودة عندي الآن هاخد ال new
+
+300
+00:23:30,280 --> 00:23:34,600
+centers هدول و اروح فيهم على ال next iteration او
+
+301
+00:23:34,600 --> 00:23:37,680
+ال second iteration هاي حطيت ال centers اللي جديدة
+
+302
+00:23:37,680 --> 00:23:41,080
+اللي موجودة عندي هان و بديت احسب المسافة من جديد
+
+303
+00:23:41,080 --> 00:23:46,520
+بديت احسب المسافة من جديد و بنفس الكلام الآن بحسب
+
+304
+00:23:46,520 --> 00:23:49,720
+على ال centers الجديدة مع كل raw اللي موجود عندي
+
+305
+00:23:49,720 --> 00:23:54,400
+هان و باخدلأ مع نهاية العملية بروح بحسب ال centers
+
+306
+00:23:54,400 --> 00:23:58,180
+بحسب ال main لل centers اللي موجودة هيصار في عندي
+
+307
+00:23:58,180 --> 00:23:59,340
+واحد و واحد
+
+308
+00:24:02,460 --> 00:24:07,000
+الان سار في عندي واحد و واحد هي اتنين و اربعة ستة
+
+309
+00:24:07,000 --> 00:24:12,380
+على اتنين تلاتة عشرة او تسعة تسعتاش تمانية و عفوا
+
+310
+00:24:12,380 --> 00:24:15,960
+تسعة و نص هذا ال center الجديدة اللي هشتغل عليها
+
+311
+00:24:15,960 --> 00:24:19,160
+وبالتالي انا هروح في iteration تالتة لان ال
+
+312
+00:24:19,160 --> 00:24:22,060
+centers مختلفة تماما عن ال centers اللي موجودة
+
+313
+00:24:22,060 --> 00:24:26,040
+هتركي كمالية الحسبة نفس الكيفية لحد ما تثبت معاك
+
+314
+00:24:26,270 --> 00:24:29,230
+للـ clusters اللي موجود عندك هنا طبعا فى كل ال
+
+315
+00:24:29,230 --> 00:24:32,430
+slide هذه تكتبها على ورقة أو تطبق عليها و تطبقها و
+
+316
+00:24:32,430 --> 00:24:34,970
+تجرب ال center التاني و التالتة و الرابعة و ال
+
+317
+00:24:34,970 --> 00:24:41,310
+iteration طبعا متى بده يجف بده يجف لما فعليا يبطل
+
+318
+00:24:41,310 --> 00:24:47,950
+ال center عندي يتغير تمام okay طبعا لأنه فى مشكلة
+
+319
+00:24:47,950 --> 00:24:52,390
+أحيانا بالمين بتظهر معايا لو كان فى عندي ال data
+
+320
+00:24:52,390 --> 00:24:57,440
+مش معمولةpre processing صح يعني فى عندي out layer
+
+321
+00:24:57,440 --> 00:25:03,040
+زى هى دى الان لو أنا جيت قولتلك المتوسط الحسابى
+
+322
+00:25:03,040 --> 00:25:06,120
+اللى هدول واحد و تلاتة و خمسة و سبعة و تسعة
+
+323
+00:25:06,120 --> 00:25:10,780
+هتقولليها okay cancer لكن لو أنا قولتلك بدل التسعة
+
+324
+00:25:10,780 --> 00:25:16,660
+عندي الف وتسعة هيكون متوسط الحسابى جديش متسعة و
+
+325
+00:25:16,660 --> 00:25:21,060
+خمسة معناته ال center تبع هيكون بعيد جداالـ Center
+
+326
+00:25:21,060 --> 00:25:25,100
+تبعي بعيد جداً معناته يزيد من نقطة الـ convergence
+
+327
+00:25:25,100 --> 00:25:33,440
+وممكن فعليا يدينا نتيجة خطأ انت تخيل ان ال data
+
+328
+00:25:33,440 --> 00:25:39,480
+set 10 عبارة
+
+329
+00:25:39,480 --> 00:25:40,400
+عن مجموعات
+
+330
+00:25:53,650 --> 00:25:59,290
+هذه النقطة هي الـ 250 لما تكون هذه الـ Center
+
+331
+00:25:59,290 --> 00:26:01,830
+فتأخذ هذه العناصر معاها
+
+332
+00:26:04,130 --> 00:26:09,170
+لأنها الأقرب لما تختار المتوسط سيصبح هنا و هنا و
+
+333
+00:26:09,170 --> 00:26:11,250
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+334
+00:26:11,250 --> 00:26:13,170
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+335
+00:26:13,170 --> 00:26:13,430
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+336
+00:26:13,430 --> 00:26:14,550
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+337
+00:26:14,550 --> 00:26:14,930
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+338
+00:26:14,930 --> 00:26:15,310
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+339
+00:26:15,310 --> 00:26:17,490
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+340
+00:26:17,490 --> 00:26:20,790
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+341
+00:26:20,790 --> 00:26:21,690
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+342
+00:26:21,690 --> 00:26:21,710
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+343
+00:26:21,710 --> 00:26:21,710
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+344
+00:26:21,710 --> 00:26:21,730
+هنا و هنا و هنا و هنا و هنا و هنا و هنا و هنا و
+
+345
+00:26:21,730 --> 00:26:32,670
+هنا و هنا و هنا و هنا و
+
+346
+00:26:32,670 --> 00:26:36,780
+هنا و هناالـ median زي ما احنا بنعرف سابقا و نفس
+
+347
+00:26:36,780 --> 00:26:40,720
+الخطوات السابقة بتظل عندها لكن بدل ما بحسب زي ما
+
+348
+00:26:40,720 --> 00:26:46,180
+قلتلك المتوسط او متوسط بحسب او باخد القيمة الوسطى
+
+349
+00:26:46,180 --> 00:26:50,010
+اللى موجودة عندها او الوسطى الحسابىالـ Main
+
+350
+00:26:50,010 --> 00:26:52,950
+advantage تبع تلميذ الـ Medium زي ما قلنا أنه
+
+351
+00:26:52,950 --> 00:26:55,930
+لايتأثر بالـ Extreme Value أو بالـ Outlier Value
+
+352
+00:26:55,930 --> 00:27:00,650
+اللي موجودة هنا السؤال اللي بيدرح نفسه الآن هدد كل
+
+353
+00:27:00,650 --> 00:27:04,090
+شغلنا سابقا كان مع أرقام مشهور لو كانت ال data
+
+354
+00:27:04,090 --> 00:27:09,430
+اللي عندي عبارة عن binary 01 01 ده ال data binary
+
+355
+00:27:09,430 --> 00:27:13,450
+يعني الآن عند قيم 01 01 معناته ممكن تكون في عند
+
+356
+00:27:13,450 --> 00:27:17,410
+القيم متشابه ما بين ال clustersعشان هيك جالك لما
+
+357
+00:27:17,410 --> 00:27:19,930
+تكون ال data ال binary اللي عندي أو ال variable
+
+358
+00:27:19,930 --> 00:27:24,170
+اللي عندي كلها binary بنفعش أروح أطبق عليها ال
+
+359
+00:27:24,170 --> 00:27:28,310
+Euclidean أو المنهاتين لأ بصير في عندي similarity
+
+360
+00:27:28,310 --> 00:27:32,610
+function أخرى لازم أتعامل معاها و طبعا هنا فعليا
+
+361
+00:27:32,610 --> 00:27:36,350
+أنا بصير بدأ أدور على ال dissimilarity احنا سابقا
+
+362
+00:27:36,350 --> 00:27:39,150
+ذكرنا ان في عندي ال Euclidean و ال Jacquard و ال
+
+363
+00:27:39,150 --> 00:27:44,770
+Sparsman و ال Hoffman code إلى أخره لكن خلّيني
+
+364
+00:27:44,770 --> 00:27:50,390
+أتكلم احنا علىالـ binary data بصير احسب الـ
+
+365
+00:27:50,390 --> 00:27:55,990
+dissimilarity عدم التشابه يعني انا بعد ما أدوّق كل
+
+366
+00:27:55,990 --> 00:28:04,310
+مكان عدم التشابه peer تمام معناته التشابه عندها
+
+367
+00:28:04,310 --> 00:28:08,510
+صغير وبالتالي انا نفس الفكرة ان انا بدور على ال
+
+368
+00:28:08,510 --> 00:28:12,920
+smaller value دائماعشان اتكلم عن انه في شبه او
+
+369
+00:28:12,920 --> 00:28:18,300
+مافيش شبه لكن زي ما قلنا ان انا بتكلم على عدم
+
+370
+00:28:18,300 --> 00:28:25,620
+التشابه بشكل عام لما بكون في عندى ال data set او
+
+371
+00:28:25,620 --> 00:28:31,540
+ال point تبعتى فيه عبارة عن value من صفر واحد ال
+
+372
+00:28:31,540 --> 00:28:34,840
+dissimilarity تبعتنا عبارة عن non negative number
+
+373
+00:28:35,710 --> 00:28:42,510
+لما بيكون closed to zero معناته نغطي نقراب جدا من
+
+374
+00:28:42,510 --> 00:28:46,710
+بعض أو متشابهات و العكس كل ما زاد الرقم كل ما كبل
+
+375
+00:28:46,710 --> 00:28:52,450
+الرقم معناته الرقامين هدول مختلفين عن بعض يعني
+
+376
+00:28:52,450 --> 00:28:55,490
+هنوجه اني بجيس الاختلاف الآن هنوجه اني بجيس
+
+377
+00:28:55,490 --> 00:28:58,650
+الاختلاف قعد كنت بجيس التشابه و الأن بدي أجيس
+
+378
+00:28:58,650 --> 00:29:04,560
+الاختلافاللي الأن من الـ matrix اللي ذكرناها
+
+379
+00:29:04,560 --> 00:29:07,260
+سابقاً اللي هي الـ jacquard بدك تفترض أنه أنا
+
+380
+00:29:07,260 --> 00:29:13,340
+فعلياً عندي data 6 باعتي مكونة من ال object الأول
+
+381
+00:29:13,340 --> 00:29:19,060
+وال object التاني عشان أنا أخد قيم ال value ال
+
+382
+00:29:19,060 --> 00:29:23,900
+binary value اللي موجودةالان بدأت توزع 01 الـ I و
+
+383
+00:29:23,900 --> 00:29:29,380
+الـ J الـ I و الـ J A و B و C و D هذه العناصر اللي
+
+384
+00:29:29,380 --> 00:29:35,240
+بتمثل المصفوفة اللي عندي اللاحظوا أنا جمعت الـ B و
+
+385
+00:29:35,240 --> 00:29:35,660
+الـ C
+
+386
+00:29:50,030 --> 00:29:54,350
+عشان نفهم الصورة صح و نشوف بالمثال يتضح المقال زي
+
+387
+00:29:54,350 --> 00:29:59,050
+ما بقول المثل تعالى نروح نشتغل handو نشوف ايش
+
+388
+00:29:59,050 --> 00:30:04,150
+العناصر اللي موجودة عندها بيجي بقول افترض ان هاي
+
+389
+00:30:04,150 --> 00:30:08,790
+في عندى انا ال binary data بدي اعملها partitioning
+
+390
+00:30:08,790 --> 00:30:12,930
+cluster هذه بتمثل patient record ال records او
+
+391
+00:30:12,930 --> 00:30:17,530
+الموجودين عندها ما بين ال positive و ال yes طبعا
+
+392
+00:30:17,530 --> 00:30:22,610
+بتكلم على اسم الشخص مش هدخل معايا حتما في الحسبة
+
+393
+00:30:22,610 --> 00:30:29,890
+اللي في عنديالـ fever عفوا الدرجة الحرارة الكف
+
+394
+00:30:29,890 --> 00:30:34,250
+اللي هي السعال الفحص الأول التاني التالت الرابع و
+
+395
+00:30:34,250 --> 00:30:39,050
+positive بواحد و ال yes بواحد و ال no ايه بصفر و
+
+396
+00:30:39,050 --> 00:30:43,890
+ال negative ايه بصفر الان بدأ انا ارجع معاك لهان
+
+397
+00:30:43,890 --> 00:30:48,910
+لما انا جينا من هنا نتكلم هنا ال a ايش ال a بتمثل
+
+398
+00:30:48,910 --> 00:30:51,830
+ال a بتمثل هي عبارة عن مجموع
+
+399
+00:30:54,440 --> 00:30:59,140
+النقاط اللي التقت فيها الـ two objects I و J كانت
+
+400
+00:30:59,140 --> 00:31:02,980
+النقاط الواحد بقى بالـ B أو الـ D مجموع النقاط
+
+401
+00:31:02,980 --> 00:31:06,720
+اللي كانوا فيها زي بعض لكن بالصفر C هي النقاط اللي
+
+402
+00:31:06,720 --> 00:31:13,320
+كانت ل ال object J واحد و ال object I صفر و هكذا
+
+403
+00:31:13,320 --> 00:31:19,100
+تعالوا نجي على المثالاللي موجود عندنا هان طيب إذا
+
+404
+00:31:19,100 --> 00:31:22,380
+احنا قلنا هذه بواحد معناته انا بده اروح اخد two
+
+405
+00:31:22,380 --> 00:31:26,820
+rows موجودين عندي هان بالمثال اللي موجود عندنا هان
+
+406
+00:31:26,820 --> 00:31:31,480
+بدنا نشتغل مع جاك و ماري مع بعض انا بده اشوف مين
+
+407
+00:31:31,480 --> 00:31:34,820
+اقرب اتنين من هدولة لبعضهم معناته انا بده اشوف جاك
+
+408
+00:31:34,820 --> 00:31:38,680
+و ماري و جاك و جيم و ماري و جيم هي الاحتمالات
+
+409
+00:31:38,680 --> 00:31:40,740
+التلاتة اللي موجودة معناته انا بده اشتغل في
+
+410
+00:31:40,740 --> 00:31:41,400
+البداية على
+
+411
+00:31:48,900 --> 00:31:55,780
+الـ two rows اللي موجودين عندها وين التنين كانوا
+
+412
+00:31:55,780 --> 00:31:59,340
+positive وين التنين كانوا فيه عندى واحد كام عمود
+
+413
+00:31:59,340 --> 00:32:05,000
+كان فيهم التنين قيمتهم واحد هذا واحد هذا اتنين
+
+414
+00:32:05,000 --> 00:32:11,540
+خلاص معناته واحد واحد هي اتنين اللي هي ال a تمام
+
+415
+00:32:11,540 --> 00:32:24,840
+طيب جاك واحد وماري صفرJack 1 وماري صفر مافيش Jack
+
+416
+00:32:24,840 --> 00:32:32,160
+0 وماري واحد هيها نقول ال positive واحد هيها واحد
+
+417
+00:32:32,160 --> 00:32:42,920
+الان negative 00000 هي تلاتة هي المصفوفة تبعتي
+
+418
+00:32:42,920 --> 00:32:46,840
+تمام الان احنا قلنا هي عبارة عن
+
+419
+00:32:50,130 --> 00:32:59,190
+abcd نجمع a و b او ناخد المتلت العلوي هذا واحد
+
+420
+00:32:59,190 --> 00:33:04,690
+زائد صفر على واحد زائد صفر زائد واحد زائد اتنين
+
+421
+00:33:04,690 --> 00:33:10,650
+تلاتة و تلاتين لما انا بروح بحسب لماري بحسب لجاك و
+
+422
+00:33:10,650 --> 00:33:17,850
+مق و جيم بنفس الكيفية تمام دعنا نعيدها هنا من ال
+
+423
+00:33:17,850 --> 00:33:18,210
+eraser
+
+424
+00:33:26,820 --> 00:33:33,180
+طبعا القيمة ده هتتغير الان انا هروح اشتغل مع او
+
+425
+00:33:33,180 --> 00:33:36,600
+نحاول نعمل contingency matrix جديدة بلون جديد نغير
+
+426
+00:33:36,600 --> 00:33:42,300
+لون الجلم دعوني
+
+427
+00:33:42,300 --> 00:33:51,780
+اخد blow الان هي contingency matrix ما
+
+428
+00:33:51,780 --> 00:34:02,040
+بين الان بدنا نشتغل marryأو jack و
+
+429
+00:34:02,040 --> 00:34:08,620
+gem طبعا مش فارقة كتير الترتيب اللي ما بينهم قولنا
+
+430
+00:34:08,620 --> 00:34:16,540
+واحد صفر هاي
+
+431
+00:34:16,540 --> 00:34:22,640
+واحد و صفر وهنا فوق الخطوط هادى بدي أضيف الأرقام
+
+432
+00:34:22,640 --> 00:34:28,560
+اللى أنا بدي يعنيطيب نبدأ بواحد و واحد عدد النقاط
+
+433
+00:34:28,560 --> 00:34:35,300
+اللي التقى فيها جاك وجيم مع بعض هي واحد positive
+
+434
+00:34:35,300 --> 00:34:39,460
+هذه negative مافيش
+
+435
+00:34:39,460 --> 00:34:43,480
+واحد ال
+
+436
+00:34:43,480 --> 00:34:53,260
+pointer بين واحد
+
+437
+00:34:53,260 --> 00:35:02,030
+طيبالان جاك واحد وجم صفر جاك واحد وجم صفر جاك واحد
+
+438
+00:35:02,030 --> 00:35:08,330
+هيها وجم صفر هيها معناته واحد تمام
+
+439
+00:35:08,330 --> 00:35:17,570
+بعد هيك جاك صفر وجم واحد جاك صفر مع الكف واحد
+
+440
+00:35:17,570 --> 00:35:20,310
+والان صفر وصفر
+
+441
+00:35:25,620 --> 00:35:31,960
+واحد اتنين ثلاثة معناته
+
+442
+00:35:31,960 --> 00:35:35,520
+الآن العلاقة الـ dissimilarity الـ dissimilarity
+
+443
+00:35:35,520 --> 00:35:40,480
+بين جام جاك و جيم واحد زائد واحد على واحد زائد
+
+444
+00:35:40,480 --> 00:35:45,080
+واحد زائد واحد كمان
+
+445
+00:35:45,080 --> 00:35:49,780
+الان بعمل كمان ما بين ماري و جيم النفس الكيفية
+
+446
+00:35:49,780 --> 00:35:55,420
+لمبادئ بطلع الان بدي اقارن جمهات الخيرأصغر
+
+447
+00:35:55,420 --> 00:35:59,840
+dissimilarity معناته أعلى تشابه كل ما كبرت ال
+
+448
+00:35:59,840 --> 00:36:02,540
+dissimilarity معناته الاختلاف بينهم كبير جدا
+
+449
+00:36:02,540 --> 00:36:07,540
+معناته انا اكتر اتنين متشابهين او اقرب اتنين لبعض
+
+450
+00:36:07,540 --> 00:36:14,380
+اللي هي مين جاك و ماري حسب ال jacquard computation
+
+451
+00:36:14,380 --> 00:36:17,180
+او ال jacquard metric function اللي احنا بنتكلم
+
+452
+00:36:17,180 --> 00:36:22,180
+عليها لإيه الدلال dissimilarityلاحظوا سابقاً كنت
+
+453
+00:36:22,180 --> 00:36:25,520
+بتكلم عن الـ distance أو ال similarity distance أو
+
+454
+00:36:25,520 --> 00:36:29,240
+ال distance function كنت بتكلم عن ال shortest
+
+455
+00:36:29,240 --> 00:36:31,780
+distance بس الآن بتكلم عن ال shortest
+
+456
+00:36:31,780 --> 00:36:37,160
+dissimilarity طبعا و السيميلارتي لما انا بدي ال ..
+
+457
+00:36:37,160 --> 00:36:40,320
+ال
+
+458
+00:36:40,320 --> 00:36:45,760
+.. ال .. الآن هذه اكتر تشابه او اكتر اقل اختلاف
+
+459
+00:36:45,760 --> 00:36:50,650
+بين Jack و Maryلو انا بدي اتكلم عليك تشابه خد واحد
+
+460
+00:36:50,650 --> 00:36:54,390
+ناقص معناته كل ما بدي ازيد التشابه عندهان مابدي
+
+461
+00:36:54,390 --> 00:36:59,930
+اصير فيهان وبالتالي بصير فيني عند جاك وماري اكتر
+
+462
+00:36:59,930 --> 00:37:03,390
+اتنين متشابهين المحتمل انهم ياخدوا نفس المرض بناء
+
+463
+00:37:03,390 --> 00:37:06,310
+على ال data set يكون عندهم نفس المرض لان هذول اكتر
+
+464
+00:37:06,310 --> 00:37:10,210
+اتنين متقاربين في المحوصات وفي الاعراض اللي موجودة
+
+465
+00:37:10,210 --> 00:37:18,290
+عندنا بينما جيم وماري اكتر اتنين مختلفينوبالتالي
+
+466
+00:37:18,290 --> 00:37:22,510
+لا نعتقد أو مافيش اعتقاد انهم يكونوا من نفس المرض
+
+467
+00:37:22,510 --> 00:37:28,090
+أو منهم نفس المشكلة المرضية اللي عندهم من اللي لو
+
+468
+00:37:28,090 --> 00:37:35,870
+بدنا نتكلم على المزايا وعيوب ال K-Means المزايا
+
+469
+00:37:35,870 --> 00:37:43,030
+simple سهل ان انا افهمه ال item يتخصص بشكل تلقائي
+
+470
+00:37:43,030 --> 00:37:51,680
+ل clusterالـ disadvantages لازم تتصنف لازم تتصنف
+
+471
+00:37:51,680 --> 00:37:54,720
+لازم
+
+472
+00:37:54,720 --> 00:37:57,060
+تتصنف لازم تتصنف لازم تتصنف
+
+473
+00:38:00,680 --> 00:38:03,960
+الـ sensitive to outlier زي ما شوفنا ان الـ
+
+474
+00:38:03,960 --> 00:38:08,060
+outlier بتغير الـ center sensitive to initial seed
+
+475
+00:38:08,060 --> 00:38:11,780
+اللي هي ال random center اللي في الأول لو كانت
+
+476
+00:38:11,780 --> 00:38:14,520
+دقيقة عندي لو كانت في نص ال .. لو كانت هي ال
+
+477
+00:38:14,520 --> 00:38:17,980
+center ممكن اوصل من أول iteration أو التانية لكن
+
+478
+00:38:17,980 --> 00:38:20,380
+لو كانت بعيدة معنى انه هياخد منه وجد في ال
+
+479
+00:38:20,380 --> 00:38:26,660
+convergence لما يصل لنهاية الحل طبعا صعبة غير
+
+480
+00:38:26,660 --> 00:38:33,280
+مناسبة للي يشوف ال clusterمن الـ hyper ellipsoid
+
+481
+00:38:33,280 --> 00:38:37,400
+أو الـ hyper shapers اللي حيكون لو كانتش ال data
+
+482
+00:38:37,400 --> 00:38:41,680
+أو ال data متواجدة بأشكال صعبة مش هيشتغل عليها
+
+483
+00:38:41,680 --> 00:38:45,740
+طبعا هنا بنتكلم اش .. طبعا الشغلة الأخيرة اللي هي
+
+484
+00:38:45,740 --> 00:38:49,040
+علاقة بال failure فعليا مش نقصيه طب هو فعلا بيفشل
+
+485
+00:38:49,040 --> 00:38:53,740
+تماما اللي
+
+486
+00:38:53,740 --> 00:38:58,300
+بيفشل اذا انا فعليا مادتهوش رقمالـ cluster الحقيقي
+
+487
+00:38:58,300 --> 00:39:04,980
+أو المناسب لل data set اللي موجود عندها كذلك بيفشل
+
+488
+00:39:04,980 --> 00:39:06,140
+ال
+
+489
+00:39:11,460 --> 00:39:16,520
+إن كل cluster أو التعرف تبقى على ال center لما
+
+490
+00:39:16,520 --> 00:39:19,300
+يكون عندك ال center يعني أنك تتكلم عن دائرة أو
+
+491
+00:39:19,300 --> 00:39:24,640
+مربع طيب لو كان في عندك ghost او care او اي shape
+
+492
+00:39:24,640 --> 00:39:30,080
+مختلف ايش ال center بدنا نفهمه؟ مش هيظبط لأن لو
+
+493
+00:39:30,080 --> 00:39:35,120
+قلت لك في عندك شكل هلال ايش ال center تبعتها؟مش
+
+494
+00:39:35,120 --> 00:39:40,200
+هتظبط لو انا جيل قلتلك ان في عندي المنحنة ايش ال
+
+495
+00:39:40,200 --> 00:39:43,620
+center تبع المنحنة مش هتظبط لكن ممكن افهمها في
+
+496
+00:39:43,620 --> 00:39:48,640
+مثلث افهمها في دائرة افهمها في مستطيل مستطيل او
+
+497
+00:39:48,640 --> 00:39:53,700
+مربع ممكن افهمها في اشكال اللي موجودة عندك تعالى
+
+498
+00:39:53,700 --> 00:39:59,160
+شوف هنا الان لما انا روحي قلتله ال .. ال .. ال ..
+
+499
+00:40:01,580 --> 00:40:04,200
+لما تكون ال data اللي عندها الها different
+
+500
+00:40:04,200 --> 00:40:12,340
+densities او
+
+501
+00:40:12,340 --> 00:40:17,720
+كتابتها مختلفة ال chemistry بيفشل ليش؟ لأنه بيعتمد
+
+502
+00:40:17,720 --> 00:40:21,000
+على المسافة فالان هذا فعليا ال data هذا ال cluster
+
+503
+00:40:21,000 --> 00:40:24,980
+الحقيقي هذه التوزيع لكن لو انا اجيت و قلتلك هذه
+
+504
+00:40:24,980 --> 00:40:27,920
+النقطة هتصنفها مع اي cluster لو انا افترضت انه ال
+
+505
+00:40:27,920 --> 00:40:28,440
+center هنا
+
+506
+00:40:31,160 --> 00:40:40,700
+و الـ center هنا و ال center هنا فممكن
+
+507
+00:40:40,700 --> 00:40:47,480
+النقطة high تكون أقرب من هنا فالنقطة
+
+508
+00:40:47,480 --> 00:40:53,040
+high هي أقرب لهذه وبالتالي
+
+509
+00:40:53,040 --> 00:40:55,660
+لما يكون في عندي different densities معناه ان في
+
+510
+00:40:55,660 --> 00:40:59,960
+عندي مشكلة مع الكيمياكذلك عندما يكون لدي nano
+
+511
+00:40:59,960 --> 00:41:04,820
+spherical cluster تخيل انه سيجلب لي cluster عندي و
+
+512
+00:41:04,820 --> 00:41:10,780
+هاي ال centers اشتغل على three centers هدول اريهم
+
+513
+00:41:10,780 --> 00:41:15,580
+كيف
+
+514
+00:41:15,580 --> 00:41:18,860
+بده يجيبليها او عندما يكون لدي ال complex shape
+
+515
+00:41:18,860 --> 00:41:22,120
+بالشكل هذا سيقول هاي center عندي هنا وهي center
+
+516
+00:41:22,120 --> 00:41:30,890
+هنا او هذا ال distance صحيحة او هناهل هذه النقطة
+
+517
+00:41:30,890 --> 00:41:34,530
+هي الأقرب لها ؟ فهو الـ shape تبع ال complex فهذه
+
+518
+00:41:34,530 --> 00:41:37,910
+الحلقات كلها بيفشل فيها ال K مين طبعا احنا فعليا
+
+519
+00:41:37,910 --> 00:41:42,590
+في عندنا algorithm تاني زي ال DB scan و هذا ال
+
+520
+00:41:42,590 --> 00:41:48,370
+algorithm فعال جدا في التعامل مع ال .. بطلبش مني
+
+521
+00:41:48,370 --> 00:41:50,970
+عدد ال K و بيشتغل و بحاول يتعرف على ال complex
+
+522
+00:41:50,970 --> 00:41:56,230
+shape لأنه بيعتمد على ال density و بحاول يجد لها
+
+523
+00:41:57,020 --> 00:41:59,780
+يتعرف على الـ clusters بناءً على ال density اللي
+
+524
+00:41:59,780 --> 00:42:03,560
+موجودة لكن تبقى زي ما قلنا هل ال evaluation أو
+
+525
+00:42:03,560 --> 00:42:06,620
+التقييم تبعي تبع أداء ال cluster صحيح أم لا بناءً
+
+526
+00:42:06,620 --> 00:42:09,680
+على أداء ال clusters ومعرفة بعدد ال clusters
+
+527
+00:42:09,680 --> 00:42:13,230
+الحقيقية لل data اللي موجودةنشوفكوا على خير ان شاء
+
+528
+00:42:13,230 --> 00:42:17,130
+الله تعالى في المحاضرة هذه اتعرفنا على الكمين
+
+529
+00:42:17,130 --> 00:42:21,130
+وشوفنا كيف نحسبه واتخرفنا على مزاياه وعيوبه
+
+530
+00:42:21,130 --> 00:42:23,990
+التسجيل اللي جاي ان شاء الله تعالى هنتقل للـ
+
+531
+00:42:23,990 --> 00:42:27,510
+Hierarchical Clustering السلام عليكم ورحمة الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM.srt
new file mode 100644
index 0000000000000000000000000000000000000000..79673973687e7375ae30c6879001a38c8a3a3aef
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM.srt
@@ -0,0 +1,2143 @@
+1
+00:00:05,350 --> 00:00:07,290
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,290 --> 00:00:13,340
+اليوم إن شاء الله شباب، نبدأ فعليًا تقريبًا بأول شغل
+
+3
+00:00:13,340 --> 00:00:17,980
+عملي في الـ data mining وهنجوز إيه في الـ data
+
+4
+00:00:17,980 --> 00:00:21,120
+preparation. ممكن المحاضرة نشوف فيها بعض الأكواد
+
+5
+00:00:21,120 --> 00:00:24,540
+اليوم، لكن المحاضرة الجاية  حتما، يعني لازم نطبق
+
+6
+00:00:24,540 --> 00:00:27,920
+بعض الأشياء العملية مع بعض، سواء كنا هنشتغل بالـ
+
+7
+00:00:27,920 --> 00:00:30,320
+Python أو نشتغل بالـ RapidMiner، وهنجرب الاتنين
+
+8
+00:00:30,320 --> 00:00:33,780
+معاك، وفي بعض الـ slides اليوم هتكون جاهزة عليها
+
+9
+00:00:33,780 --> 00:00:36,140
+بعض الأكواد الـ Python اللي ممكن تفيدنا، بس من باب
+
+10
+00:00:36,140 --> 00:00:42,560
+التحفيز للتعامل مع الـ Python،  على سبيل
+
+11
+00:00:42,560 --> 00:00:45,400
+المثال، يا رامي زي ما كنت بتقول، هنبدأ اليوم
+
+12
+00:00:45,400 --> 00:00:49,080
+محاضرتنا، كل المحاضرات الماضية اللي بنتكلم على الـ
+
+13
+00:00:49,080 --> 00:00:52,060
+data understanding، وقلنا مفهوم الـ data
+
+14
+00:00:52,060 --> 00:00:55,020
+understanding، إنه لازم أنا أكون فاهم الـ data اللي
+
+15
+00:00:55,020 --> 00:00:57,760
+عندي، أو familiar مع الـ data اللي عندي بشكل كويس
+
+16
+00:00:57,760 --> 00:01:00,960
+بحيث إنه كل ما أنا فهمت الـ data، بقدر أفهم إيش الـ
+
+17
+00:01:00,960 --> 00:01:05,630
+task اللي بدي إياها، بقدر أفهم أُحوِّر الـ data بحيث
+
+18
+00:01:05,630 --> 00:01:08,490
+أنا أُصبح متوافق مع الـ task اللي أنا بدي أروح لها، وكنا
+
+19
+00:01:08,490 --> 00:01:12,590
+بنطرح على حالنا مجموعة من الأسئلة، كان أهمها: هل الـ
+
+20
+00:01:12,590 --> 00:01:15,830
+data هذه relevant للـ topic ولا لأ؟ هل الـ data هذه
+
+21
+00:01:15,830 --> 00:01:20,630
+كافية، من أجل enough أو كافية من أجل إن أبني عليها
+
+22
+00:01:20,630 --> 00:01:24,010
+model ولا لأ؟ هل في مصادر أخرى للبيانات ممكن
+
+23
+00:01:24,010 --> 00:01:27,350
+تدعمني في هذا الاتجاه؟ هل الـ data هذه حقيقية ولا
+
+24
+00:01:27,350 --> 00:01:33,390
+صناعية؟ هل الـ data هذه مناسبة... بس كمان بتحل
+
+25
+00:01:33,390 --> 00:01:37,390
+المشكلة ولا بتحل الـ hash؟ قديمة ولا جديدة؟ فكل
+
+26
+00:01:37,390 --> 00:01:41,650
+الشغلات هذه كانت تتجه باتجاه واحد فقط، أني أكون
+
+27
+00:01:41,650 --> 00:01:45,750
+familiar مع البيانات اللي موجودة عندي، بعد ما احنا
+
+28
+00:01:45,750 --> 00:01:48,730
+وكنا طلبنا نهاية المحاضرة الماضية أن كل واحد فيكم
+
+29
+00:01:48,730 --> 00:01:52,670
+أو كل مجموعة، كل مجموعة تحدد two datasets، واحدة for
+
+30
+00:01:52,670 --> 00:01:56,070
+regression، واحدة for الـ classification، وكنا
+
+31
+00:01:56,070 --> 00:02:00,270
+زودناكم بـ examples، بعض الـ URLs اللي ممكن توجد منها
+
+32
+00:02:00,270 --> 00:02:03,310
+خلالها Data Sets، دلوقتي في Data Sets في الـ Open
+
+33
+00:02:03,310 --> 00:02:06,350
+Data Sets، في Google Open Data Sets، في شغلات كتيرة
+
+34
+00:02:06,350 --> 00:02:09,810
+في أي مكان، ممكن تختار الـ Data Set اللي موجودة، و
+
+35
+00:02:09,810 --> 00:02:15,090
+بقى ذكرنا، لازم تشكل مجموعة أو تنضم لمجموعة، بعد هي
+
+36
+00:02:15,090 --> 00:02:20,710
+كانت حصيلة الشغل جماعيًا، الـ data wrangling، عفواً، أو الـ
+
+37
+00:02:20,710 --> 00:02:23,410
+preprocessing، أو الـ data preparation زي ما بسميها
+
+38
+00:02:23,410 --> 00:02:27,850
+البعض، أن هو فعليًا أول خطوة على الـ real data، أنا
+
+39
+00:02:27,850 --> 00:02:31,710
+جبت الـ data set، سواء كانت text file أو data file
+
+40
+00:02:31,710 --> 00:02:35,050
+أو csv file أو excel file، بغض النظر إيش كانت
+
+41
+00:02:35,050 --> 00:02:39,590
+أصبحت الـ data هذه موجودة، وبالتالي بالنسبة لي الـ
+
+42
+00:02:39,590 --> 00:02:45,080
+data هذه غالباً هي عبارة عن الـ raw format، شو يعني
+
+43
+00:02:45,080 --> 00:02:49,660
+Raw Format؟ خام، بالنسبة لي في اللحظة اللي أنا بقول
+
+44
+00:02:49,660 --> 00:02:53,300
+إنه الجدول هذا أو الـ csv file هذا ما يحتاج... الآن
+
+45
+00:02:53,300 --> 00:02:58,100
+لا يحتاج أي شغل، بتصير الـ data هذه جاهزة أن أبني
+
+46
+00:02:58,100 --> 00:03:02,880
+عليها data mining task، تمام؟ وهذا الكلام ما يتم
+
+47
+00:03:02,880 --> 00:03:06,620
+إلا بعد بعض فحص، أو إجراء بعض التعديلات على
+
+48
+00:03:06,620 --> 00:03:09,980
+البيانات اللي موجودة عندي، من بعض الشغلات الخام،
+
+49
+00:03:09,980 --> 00:03:12,960
+يا عم، اللي أنا بتكلم عليها، لو كانت الـ data set
+
+50
+00:03:12,960 --> 00:03:17,680
+هي عبارة عن مجموعة من الصور، على سبيل المثال، طبيب
+
+51
+00:03:17,680 --> 00:03:21,400
+عظام قرر إنه بده يحاول يستخدم الـ data science
+
+52
+00:03:21,400 --> 00:03:24,140
+أو الـ data mining، وقال لك والله أنا بدي أعمل
+
+53
+00:03:24,140 --> 00:03:29,920
+برنامج، أديله صورة الأشعة، تمام؟ يبدأ هو يدور عن الـ
+
+54
+00:03:29,920 --> 00:03:32,420
+possible fractures الموجودة، سواء كان بلغتنا
+
+55
+00:03:32,420 --> 00:03:36,700
+البسيطة كسر واضح، أو شعر مش مبين، يعني بدي أبني
+
+56
+00:03:36,700 --> 00:03:39,980
+smart system عشان يحدد لي الـ fractures اللي ممكن
+
+57
+00:03:39,980 --> 00:03:45,760
+يصير في العظم، ممتاز، إيش الـ data تبعته؟ بيقول لي
+
+58
+00:03:45,760 --> 00:03:51,820
+والله أنا محتفظ بـ 100 ألف صورة أشعة، تمام؟ X-rays
+
+59
+00:03:51,820 --> 00:03:55,900
+موجودة لهذا المجال، وكلها... كلها شخصيًا بدي أحط
+
+60
+00:03:55,900 --> 00:03:59,500
+عليها label، هذه فيها كسر وبحدد لك مكانه، وهذه
+
+61
+00:03:59,500 --> 00:04:02,860
+فيها شعر وبحدد لك مكانه، عشان الـ system تبعته الآن
+
+62
+00:04:02,860 --> 00:04:07,380
+الـ raw data تبعته هي صور الأشعة، هاي طيب ماشي حاله،
+
+63
+00:04:07,380 --> 00:04:10,300
+بدنا special scanner، عملنا لها scanning ودخلناها
+
+64
+00:04:10,300 --> 00:04:13,340
+على الـ system، raw data، ما زالت في اللحظة اللي
+
+65
+00:04:13,340 --> 00:04:17,740
+بتقدر تحول الصورة هذه لجدول، لجداول تقدر تشتغل
+
+66
+00:04:17,740 --> 00:04:21,860
+تشتغل عليها mining، بتكون أنت فعليًا رحت باتجاه الـ
+
+67
+00:04:21,860 --> 00:04:25,620
+task الصحيحة، وخلصت من الـ raw data ووصلت لوين؟
+
+68
+00:04:25,620 --> 00:04:30,360
+للقيمة أو للـ value اللي أنت بدك إياها، مثل تمامًا
+
+69
+00:04:30,360 --> 00:04:35,010
+المنقبين عن البترول، لأن هو أخذ، وصل لبئر النفط أو
+
+70
+00:04:35,010 --> 00:04:38,290
+حصل على البترول، لكن هذا البترول، أو هذا البترول
+
+71
+00:04:38,290 --> 00:04:41,910
+الخام غير مناسب للناس، فماذا يفعل؟
+
+72
+00:04:41,910 --> 00:04:44,290
+بتدخلوا على مصانع التكرير عشان يصدر منه البنزين
+
+73
+00:04:44,290 --> 00:04:48,110
+والسولار إلى آخره، وبالتالي أنا بدي أروح الـ road
+
+74
+00:04:48,110 --> 00:04:52,570
+بحيث أنها تصبح suitable، أعالجها بحيث أنها تصبح
+
+75
+00:04:52,570 --> 00:04:55,750
+suitable للـ task أو للـ analysis اللي أنا بدي أشتغل
+
+76
+00:04:55,750 --> 00:05:01,940
+عليه، طبعًا الآن لما بتكلم على الـ data preparation،
+
+77
+00:05:01,940 --> 00:05:07,240
+عادة هي عبارة عن software by-blind، أو coding by
+
+78
+00:05:07,240 --> 00:05:11,120
+-blind، شو يعني by-blind يا شباب؟ خط... خط إنتاج
+
+79
+00:05:11,120 --> 00:05:15,220
+method، بتروح بتدور على الـ missing data وبتعالجها،
+
+80
+00:05:15,220 --> 00:05:19,340
+method ثانية، أو data ثانية بتعالج الـ inconsistent
+
+81
+00:05:19,340 --> 00:05:24,570
+data، ثالثة بتعالج مثلًا الـ noise data، وكل مخرج يعني
+
+82
+00:05:24,570 --> 00:05:28,310
+الآن بدخل الـ raw data للـ missing، الـ output تبع الـ
+
+83
+00:05:28,310 --> 00:05:32,530
+missing بروح بعده وبدخله عليه as input للـ noise
+
+84
+00:05:32,530 --> 00:05:35,230
+data، والـ noise data بتروح للـ inconsistent بعد
+
+85
+00:05:35,230 --> 00:05:38,850
+معالجتها، طبعًا، وبهيك كل مرحلة لحد ما بوصل لوين في
+
+86
+00:05:38,850 --> 00:05:43,810
+الآخر، أن الـ data هذه مناسبة، أصبحت صالحة للـ task
+
+87
+00:05:43,810 --> 00:05:49,090
+اللي أنا بدي أشتغل فيها، وبالتالي هذا بيقول إن الناس
+
+88
+00:05:49,090 --> 00:05:51,390
+اللي بدأت تشتغل في الـ data science أو في الـ data
+
+89
+00:05:51,390 --> 00:05:53,750
+preparation أو الـ data preprocessing أو الـ data
+
+90
+00:05:53,750 --> 00:05:58,530
+wrangling، لازم يتمتع بمجموعة من الصفات اللي لها
+
+91
+00:05:58,530 --> 00:06:02,530
+علاقة بالإحصاء، على سبيل المثال، ليش؟ لأن أنت بدك
+
+92
+00:06:02,530 --> 00:06:07,910
+تتعرف على البيانات، بدك
+
+93
+00:06:07,910 --> 00:06:11,890
+skills زي ما قلنا سابقًا، multidisciplinary
+
+94
+00:06:13,700 --> 00:06:16,320
+الـ course تبع الـ data mining، بدك statistic، بدك
+
+95
+00:06:16,320 --> 00:06:19,240
+database، بدك programming، وكل الـ skills هذه بتخدمك
+
+96
+00:06:19,240 --> 00:06:27,500
+في موضوع الـ preparation بالدرجة الأولى، طيب
+
+97
+00:06:27,500 --> 00:06:31,160
+بما أنه إحنا حاليًا،  هنحتاج شغل، ونقول programming،
+
+98
+00:06:31,160 --> 00:06:35,760
+ونتكلم على pipeline بالـ Python، قلت لك أنا حاطط لك
+
+99
+00:06:35,760 --> 00:06:40,270
+روابط تنزل الـ Anaconda، مين نزلها شباب على جهازه؟ واحد
+
+100
+00:06:40,270 --> 00:06:44,570
+اثنين، ثلاثة، أربعة، خمسة، ستة، سبعة، ثمانية، تسعة، أنتم
+
+101
+00:06:44,570 --> 00:06:49,730
+ملاحظين يا شباب أن المادة ما فيهاش معمل، نزل الـ
+
+102
+00:06:49,730 --> 00:06:52,330
+Python Anaconda distribution أو الـ Spyder Anaconda
+
+103
+00:06:52,330 --> 00:06:55,230
+distribution على جهازك عشان تبدأ تشتغل، ليش أنا
+
+104
+00:06:55,230 --> 00:06:59,130
+قلت لك نزله؟ هيريحك من كل المكتبات، وينزلها لك حزمة
+
+105
+00:06:59,130 --> 00:07:04,380
+واحدة، بينما لو بدك تشتغل بالـ PyCharm، هتضطر تنزل الـ
+
+106
+00:07:04,380 --> 00:07:07,500
+libraries واحدة ورا الثانية، فأنت رايح ترهق نفسك وتشتغل
+
+107
+00:07:07,500 --> 00:07:10,320
+على الـ distribution جاهزة، بتريحك على الأقل في
+
+108
+00:07:10,320 --> 00:07:11,360
+موضوع الـ installation
+
+109
+00:07:15,990 --> 00:07:19,870
+هي IDE شاملة المكتبات كلها تبع الـ data science،
+
+110
+00:07:19,870 --> 00:07:22,870
+وبالتالي بدل ما أنا أروح أحول الـ IDE تبع الـ by
+
+111
+00:07:22,870 --> 00:07:26,270
+charm، تمام، عشان يسموها data science distribution،
+
+112
+00:07:26,270 --> 00:07:30,150
+أحيانًا بسموها، الآن بدل ما أروح أنا أنزل المكتبات
+
+113
+00:07:30,150 --> 00:07:33,150
+واحدة ورا الثانية، هو كل المكتبات جاهزة ضمن الـ
+
+114
+00:07:33,150 --> 00:07:35,390
+setup file اللي بنزله، وبالتالي مش هعمل download من
+
+115
+00:07:35,390 --> 00:07:40,040
+الـ internet لأي شيء، الآن، طبعًا المهم، إذا ما أقول إن
+
+116
+00:07:40,040 --> 00:07:43,020
+إحنا ممكن نستخدم الـ Python، وهذه لغة برمجة مهمة
+
+117
+00:07:43,020 --> 00:07:46,200
+جداً، ليش مع الـ Java؟ ما بدي الـ Java، الـ support إلها
+
+118
+00:07:46,200 --> 00:07:50,860
+أكثر، وهنشوف الآن بعض الشغلات، فعليًا أسهل مليون مرة
+
+119
+00:07:50,860 --> 00:07:55,060
+ما كنت أنا بدي أشتغلها وين؟ بالـ Java، وهعطيك مثال،
+
+120
+00:07:55,060 --> 00:07:59,300
+الآن، مثال بسيط جداً، المكتبات اللي بتلزمني في الـ
+
+121
+00:07:59,300 --> 00:08:01,520
+Python، إذا أنا بدي أشتغل على الـ PyCharm، معناته
+
+122
+00:08:01,520 --> 00:08:06,270
+ملزمني الـ NumPy، الـ numerical arrays في الـ Python،
+
+123
+00:08:06,270 --> 00:08:09,710
+وبالـ Pandas، اللي هي عبارة عن data framework،
+
+124
+00:08:09,710 --> 00:08:13,510
+من أجل أن أعمل store و retrieve للـ data، وأطبق
+
+125
+00:08:13,510 --> 00:08:16,370
+عليها بعض الـ methods الجاهزة اللي لها علاقة في الـ
+
+126
+00:08:16,370 --> 00:08:20,710
+preparation، من الشغلات البسيطة اللي ممكن تكون
+
+127
+00:08:20,710 --> 00:08:24,350
+motivation كويسة بالنسبة لنا جميعًا، كيف التعامل مع
+
+128
+00:08:24,350 --> 00:08:27,970
+الـ Python، لو أنا أجيت قلت لك في عندي two
+
+129
+00:08:27,970 --> 00:08:29,050
+dimensional array
+
+130
+00:08:36,150 --> 00:08:41,450
+ثلاثة في ثلاثة، وبده منها تاخد لي الصف أو العمود
+
+131
+00:08:41,450 --> 00:08:47,870
+الأخير لحاله كـ one dimensional array، إيش الـ code
+
+132
+00:08:47,870 --> 00:08:51,990
+اللي ممكن تكتبه به جافر؟ بتروح تعرف الـ array one
+
+133
+00:08:51,990 --> 00:08:58,250
+dimensional، هتقول له integer، الـ array تبعته A مثلًا، و
+
+134
+00:08:58,250 --> 00:09:02,690
+تقول له يا أخي إن هذا اسمها X، بدها تساوي new integer
+
+135
+00:09:04,860 --> 00:09:09,880
+ثلاثة، صح؟ بعدين هتروح تقول له for integer I equal
+
+136
+00:09:09,880 --> 00:09:18,160
+zero، الـ I أقل من أو تساوي اثنين، I plus plus، A of I
+
+137
+00:09:18,160 --> 00:09:30,640
+equal X of اثنين، إيه؟ قد إيش هي؟ I، اثنين، مصبوط؟
+
+138
+00:09:35,500 --> 00:09:42,740
+بالـ Python بكل بساطة باجي بقول له a تساوي x
+
+139
+00:09:42,740 --> 00:09:51,000
+أو
+
+140
+00:09:51,000 --> 00:09:55,660
+حتى ممكن هذا مكتوب هيك، بس يبقى  لا for
+
+141
+00:09:55,660 --> 00:10:00,720
+ولا حاجة، الفكرة وين يا شباب؟ إنه فعليًا من ناحية
+
+142
+00:10:00,720 --> 00:10:06,620
+simplicity،  أسهل، وهي فرصة... فرصة لك تتعلم لغة
+
+143
+00:10:06,620 --> 00:10:10,080
+جديدة، الـ for هي الـ for، والـ F هي الـ F، نفس الـ
+
+144
+00:10:10,080 --> 00:10:12,560
+concept بس الـ syntax هو شوية اللي هيخلف... يخلف
+
+145
+00:10:12,560 --> 00:10:15,060
+معك، الآن، هذا الآن في الشغلات زي هاي، الـ
+
+146
+00:10:15,060 --> 00:10:20,080
+Python بتريحك جدًا في الكتابة، هاي، هذا الثلاث أسطر هي
+
+147
+00:10:20,080 --> 00:10:24,120
+عبارة عن سطر واحد فعليًا، لا أنا محدد نوع بيانات،
+
+148
+00:10:24,120 --> 00:10:27,280
+ولا أنا محدد نوع الـ for، بس اللي بيلزمني أحدد
+
+149
+00:10:27,280 --> 00:10:31,400
+أبعاد العمود اللي أنا بدي إياه، و لحاله بيشتغل الشغلة
+
+150
+00:10:31,400 --> 00:10:36,140
+الثانية، ممكن أنا الآن، هل في مجال يكون في عندي
+
+151
+00:10:36,140 --> 00:10:41,520
+تسميات للـ
+
+152
+00:10:41,520 --> 00:10:45,660
+attributes اللي موجودة عندي؟ لأ، ما في مجال مع الـ
+
+153
+00:10:45,660 --> 00:10:49,040
+Pandas، بصير في مجال أضيف تسمية للـ array أو للـ
+
+154
+00:10:49,040 --> 00:10:56,000
+data set، وبصير بروح بقول له أن الـ A equal X of T
+
+155
+00:10:56,000 --> 00:11:01,240
+ثلاثة، وخلصت، وبالتالي فيها شغل أسهل بكثير من الـ
+
+156
+00:11:01,240 --> 00:11:06,990
+Java وغيرها، إيه؟ هنشوف بعض الأكواد اللي برضه بسهولة
+
+157
+00:11:06,990 --> 00:11:09,970
+اللي هنفهمها برضه خلال المحاضرة هذه إن شاء الله،
+
+158
+00:11:09,970 --> 00:11:14,530
+تعال طيب، ننتقل لطريق الـ libraries اللي في
+
+159
+00:11:14,530 --> 00:11:16,630
+عينينا، بتلزمني في الـ data preparation بالدرجة
+
+160
+00:11:16,630 --> 00:11:19,390
+الأولى، تعال، أخد مثال بسيط في الـ code اللي موجود
+
+161
+00:11:19,390 --> 00:11:23,770
+قدامنا، الـ code اللي موجود قدامنا، عمل import للـ
+
+162
+00:11:23,770 --> 00:11:27,670
+Pandas، وروح
+
+163
+00:11:27,670 --> 00:11:32,430
+اعرف الـ Pandas، هي عبارة عن data framework للتعامل
+
+164
+00:11:32,430 --> 00:11:36,010
+واحدة من الاقتراحات تبعها، أني ممكن أنشئ جدول
+
+165
+00:11:36,010 --> 00:11:40,570
+جديد، أنشئ جدول جديد، فروح قلت له الـ Pandas dot data
+
+166
+00:11:40,570 --> 00:11:45,310
+framework، وزودت الـ data framework الـ constructor بـ
+
+167
+00:11:45,310 --> 00:11:46,770
+...بإيش يا شباب؟
+
+168
+00:11:46,770 --> 00:11:51,170
+(Long pause)
+
+169
+00:11:57,690 --> 00:12:01,630
+الـ values تبعته، تمام، الـ index هي optional،
+
+170
+00:12:01,630 --> 00:12:05,630
+بالنسبة لنا، بنضيفها بعد الـ json عشان أقول له والله
+
+171
+00:12:05,630 --> 00:12:07,870
+فعلاً هي الـ items أو هي الـ index اللي أنا بدي أشتغل
+
+172
+00:12:07,870 --> 00:12:14,270
+معها، بغض النظر، هتفرق كتير، الآن لو أنا أقول
+
+173
+00:12:14,270 --> 00:12:17,590
+dictionary، كم واحد هيقول okay معك، موافق معك، بس
+
+174
+
+223
+00:15:40,710 --> 00:15:43,150
+maximum و كم عدد الفرغات؟ بصير عارف أني بدي
+
+224
+00:15:43,150 --> 00:15:47,810
+أشتغل، طبعًا بإمكانك تعمل loop تمر على الـ titles
+
+225
+00:15:47,810 --> 00:15:50,590
+اللي هنا و تعمل description بشكل آلي، ما تكتب كل
+
+226
+00:15:50,590 --> 00:15:55,970
+واحد بشكل تلقائي. طيب، هذا الكلام أو هذه الـ slides ما
+
+227
+00:15:55,970 --> 00:15:59,430
+جبتها إلا من باب الـ motivation  لك، أن الـ
+
+228
+00:15:59,430 --> 00:16:03,490
+python سهل و ممكن تعملها أو تكتبها، تعملها concord
+
+229
+00:16:03,490 --> 00:16:11,110
+ده أو تحتويها بشكل كويس خلال الفصل هذا، الـ rapid
+
+230
+00:16:11,110 --> 00:16:15,290
+minor خيار هنشوفه، هنشتغل عليه، لكن أنا بالنسبة لي
+
+231
+00:16:15,290 --> 00:16:21,530
+قد أعطي plus للي هيشتغل الـ python، وللي مش هيشتغل
+
+232
+00:16:21,530 --> 00:16:22,490
+الـ python هياخد minus
+
+233
+00:16:40,350 --> 00:16:47,070
+ممكن تحتوي على بعض الـ missing، الـ inconsistent، والـ
+
+234
+00:16:47,070 --> 00:16:53,990
+noise data الآن يا جماعة، noise data شو يعني؟ أخذناها
+
+235
+00:16:53,990 --> 00:17:00,310
+سابقا. اكتب اسمك هنا، و سجل جوابك، تمام؟ نقاش يعني
+
+236
+00:17:00,310 --> 00:17:05,310
+noise data يعني data فيها أشياء ممكن ما تفيدنيش، أو
+
+237
+00:17:05,310 --> 00:17:08,950
+فيها أشياء خاطئة. فيها أشياء خاطئة، صح؟ بس فيها data
+
+238
+00:17:08,950 --> 00:17:14,490
+ما تفيدنيش، مش صح. اكتب اسمك، عفوا، تمام؟ الآن noise
+
+239
+00:17:14,490 --> 00:17:17,690
+data يعني لو أنا فيه عندي قيم أو فيه عندي أخطاء في
+
+240
+00:17:17,690 --> 00:17:24,170
+القيم المدخلة، مثل الراتب بالسالب، تمام؟ طيب، عبدالله
+
+241
+00:17:24,170 --> 00:17:27,430
+صحي. محمد الكحلوت من جنبك، وقول لي شو يعني
+
+242
+00:17:27,430 --> 00:17:35,070
+inconsistent data؟ مش عارف، لأنك ما بتراجعش. لأ، ما بديش
+
+243
+00:17:35,070 --> 00:17:38,450
+إياك. أنت يا تامر، آه، يوسف، شو يعني inconsistent
+
+244
+00:17:38,450 --> 00:17:39,230
+data؟
+
+245
+00:17:42,500 --> 00:17:55,180
+محمود أبو حية. محمود، صح؟ محمد أبو حية، محمود
+
+246
+00:17:55,180 --> 00:17:56,740
+أبو حية. محمود أبو حية. محمود أبو حية. محمود أبو حية
+
+247
+00:17:56,740 --> 00:17:59,980
+محمود أبو حية. محمود أبو حية. محمود أبو حية. محمود
+
+248
+00:17:59,980 --> 00:18:02,800
+أبو حية. محمود أبو حية. محمود أبو حية. محمود أبو حية
+
+249
+00:18:02,800 --> 00:18:09,800
+محمود أبو حية. محمود أبو حية. محمود أبو حية. مثلًا،
+
+250
+00:18:09,800 --> 00:18:13,060
+تاريخ ميلاده مبارح، هو في الـ Age مكتوب لـ 40 سنة،
+
+251
+00:18:13,060 --> 00:18:17,840
+تمام؟ Missing Data. هذه كلكم هتجاوبوها طبعًا، فضل.
+
+252
+00:18:17,840 --> 00:18:21,260
+Data مفقودة، إنه فعليًا الـAttribute هذا في
+
+253
+00:18:21,260 --> 00:18:24,080
+الـRecord هذا، الـValue تبعته فاضية، مش موجودة عندي.
+
+254
+00:18:24,080 --> 00:18:27,400
+وبالتالي، أنا لازم أقول،  قلنا سابقًا كان عندنا
+
+255
+00:18:27,400 --> 00:18:31,060
+مصطلح Garbage In، Garbage Out. وبالتالي الـData
+
+256
+00:18:31,060 --> 00:18:35,980
+Quality شيء أساسي في الـData Mining. جودة البيانات
+
+257
+00:18:35,980 --> 00:18:39,960
+شيء أساسي في الـ Data Mining. وبالتالي، إذا أنت
+
+258
+00:18:39,960 --> 00:18:44,060
+فعليًا بدأت تشتغل، وجدت في الموضوع الـ Data
+
+259
+00:18:44,060 --> 00:18:47,500
+Preparation عبارة عن خطوة مهمة للـ Serious والـ
+
+260
+00:18:47,500 --> 00:18:53,920
+Effective والـ Real Data Mining Process. إيش علامات
+
+261
+00:18:53,920 --> 00:19:00,040
+جودة؟ .. علامات جودة الـ Data Set اللي موجودة عندي؟
+
+262
+00:19:00,040 --> 00:19:05,430
+تقريبًا هي نفس الأسئلة اللي كنا بنطرحها سابقًا، عشان
+
+263
+00:19:05,430 --> 00:19:10,010
+تصحيح الـ data، الـ accuracy. قد ايش الـ data تبعتي هذه
+
+264
+00:19:10,010 --> 00:19:18,330
+دقيقة؟ قد ايش الـ data تبعتي صحيحة؟ هي، كل ما
+
+265
+00:19:18,330 --> 00:19:22,290
+كانت نسبة دقتها أعلى، كل ما كانت هذه أفضل، طبعًا.
+
+266
+00:19:22,290 --> 00:19:30,380
+مصدرها؟ مصدرها يعني، بنسأل الآن، الـ data اللي
+
+267
+00:19:30,380 --> 00:19:34,060
+فيها الـ values، أنت بتقدر تتحقق من كل record Raw by
+
+268
+00:19:34,060 --> 00:19:38,920
+Raw؟ أكيد لأ، لكن لما أنا بأعرف أن الـ data set هاي
+
+269
+00:19:38,920 --> 00:19:45,080
+طالعة مثلًا من الـ MIT، على رأي رامي، تمام؟ ولا طالعة
+
+270
+00:19:45,080 --> 00:19:47,620
+من جامعة إياد الشامي؟ لأ، أكيد اللي طالعة من الـ MIT،
+
+271
+00:19:47,620 --> 00:19:53,060
+من الـ MIT، مصدق؟ شكرًا، شكرًا على الثقة يا هاشم،
+
+272
+00:19:53,060 --> 00:19:58,100
+الآن، الفكرة وين يا جماعة الخير؟ الفكرة أنه مش كمان
+
+273
+00:19:58,100 --> 00:20:02,040
+تشوف الـ source، اللي هي الـ believability، قد ايش أنا
+
+274
+00:20:02,040 --> 00:20:07,420
+بوثق فيها، في مصدرها، لكن الآن، بتكلم على جودة
+
+275
+00:20:07,420 --> 00:20:12,620
+البيانات. جودة البيانات، عادةً، مش أنا صاحبها، الـ data
+
+276
+00:20:12,620 --> 00:20:16,440
+لما انجمعت، كانت صحيحة. لما انجمعت، آه، صح، بأثق في
+
+277
+00:20:16,440 --> 00:20:21,580
+المصدر، لكن قد ايش ممكن المصدر هذا يخطئ في الإدخال؟
+
+278
+00:20:22,050 --> 00:20:25,250
+قد ايش الـ instrument اللي كنت أنا بأعتمد عليها في
+
+279
+00:20:25,250 --> 00:20:29,730
+القراءات دقيقة؟ بلاش نتكلم على مصدرها، أنا والله
+
+280
+00:20:29,730 --> 00:20:32,770
+واثق أن اللي جاييني من الـ MIT تمام، لكن كانوا
+
+281
+00:20:32,770 --> 00:20:38,310
+مسترخصين، و اخذين بعض الـ sensors من Taiwan، بينما في
+
+282
+00:20:38,310 --> 00:20:42,270
+sensors  أوضح منها، وبالتالي، الـ data set اللي بيصير
+
+283
+00:20:42,270 --> 00:20:47,430
+فيها علامة استفهام، لأن بعض الـ equipments تبعتها في
+
+284
+00:20:47,430 --> 00:20:51,170
+الـ range تبعت الـ error تبعتها عالية. هذه المقصودة
+
+285
+00:20:51,170 --> 00:20:56,850
+بالـ Accuracy، على خلاف الـ Believability. قد ايش أنا
+
+286
+00:20:56,850 --> 00:21:00,890
+واثق من مصدر البيانات، وفي البيانات اللي موجودة
+
+287
+00:21:00,890 --> 00:21:05,450
+عندي. هلاحظ كمان مرة، أنا ما زلت بأتكلم على عوامل
+
+288
+00:21:05,450 --> 00:21:09,630
+إنّه كيف بدي، أو بدي أحاول أشكّ، كيف بدي أقيس جودة
+
+289
+00:21:09,630 --> 00:21:13,230
+أو إيش هي علامات جودة الـ data set؟ يعني لو قلنا لك
+
+290
+00:21:13,230 --> 00:21:17,710
+في تفاحة، وقلنا شو رأيك فيها؟ جودة التفاحة هاي، قد ايش
+
+291
+00:21:17,710 --> 00:21:21,510
+عبدالله؟ هي عبدالله، أيوة عبدالله، بناء على إيش؟
+
+292
+00:21:21,510 --> 00:21:26,650
+بتطلع فيها، الله، التفاحة مبينة، جديدة، وطازة، وبتلمّع،
+
+293
+00:21:26,650 --> 00:21:30,830
+تمام؟ هاي واحد، ريحتها فواحة، ما فيش فيها لا ضرب
+
+294
+00:21:30,830 --> 00:21:35,730
+يمين ولا شمال، ولا محمد عضّها، مصدق؟ وبالأخير، في
+
+295
+00:21:35,730 --> 00:21:40,950
+الأخير، هاي العلامات، أنت بعينك بتقدر تحددها، طيب،
+
+296
+00:21:40,950 --> 00:21:47,270
+الآن completeness، قد ايش الـ data هاي كاملة، وبحيث
+
+297
+00:21:47,270 --> 00:21:50,590
+أنها توافق الـ task اللي أنا بدي إياها؟ سألنا سابقًا
+
+298
+00:21:50,590 --> 00:21:54,230
+على الـ different sources، والـ relevant، ومن الـ
+
+299
+00:21:54,230 --> 00:21:58,170
+expert. ليش؟ عشان أنا أكون متأكد أن الـ data الـ 6
+
+300
+00:21:58,170 --> 00:22:02,810
+تبعتي هاي فعليًا بتنجز. الـ consistency، الـ consistency
+
+301
+00:22:02,810 --> 00:22:07,150
+قد ايش الـ data هاي consistent؟ ما هو، لما اتكلمنا
+
+302
+00:22:07,150 --> 00:22:10,050
+في الـ consistency، أنه ما هو المفهوم، أن أعدّل في
+
+303
+00:22:10,050 --> 00:22:14,430
+مكان، ومقنوط من التعديل في مكان ثاني، بس ما عدّلتش فيه،
+
+304
+00:22:14,430 --> 00:22:17,030
+فبتصير inconsistent. values الموجودة اللي عندي،
+
+305
+00:22:17,030 --> 00:22:21,770
+timeline is .. هاي شغلة مهمة يا جماعة الخير، عشان
+
+306
+00:22:21,770 --> 00:22:24,650
+يقول لي أن الـ data .. الـ data set اللي موجودة عندي
+
+307
+00:22:24,650 --> 00:22:28,110
+هل بتحل المشكلة اللي أنا بأشتغل عليها ولا لأ؟ يعني
+
+308
+00:22:28,110 --> 00:22:33,810
+أنا بدي أحاول أعمل prediction. ما هو، إذا حطيت الـ
+
+309
+00:22:33,810 --> 00:22:37,210
+mail، معناته هتصير أنك عندك .. في عندك مشكلة في الـ
+
+310
+00:22:37,210 --> 00:22:41,440
+consistency. مصدق؟ لأ، خلينا .. احنا عمّال بدنا
+
+311
+00:22:41,440 --> 00:22:45,780
+نصلّح، مش اللي بنخبص، تمام؟ وبالتالي، الـ data must be
+
+312
+00:22:45,780 --> 00:22:54,440
+inferred. إيش الحلول المتاحة قدامي في التعامل مع الـ
+
+313
+00:22:54,440 --> 00:22:59,080
+missing data؟ الآن، الـ missing، سواء كانت في one
+
+314
+00:22:59,080 --> 00:23:05,220
+value أو في two values في الـ record، تمام؟ في الآخر،
+
+315
+00:23:05,220 --> 00:23:09,560
+الـ record هذا فيه missing. لكن سؤال مهم جدًا، هل ممكن
+
+316
+00:23:09,560 --> 00:23:14,980
+كل الـ record يكون missing؟ بكونش موجود أساسًا،
+
+317
+00:23:14,980 --> 00:23:18,220
+فعلى الأقل الـ record بيكون فيه one value، والباقي
+
+318
+00:23:18,220 --> 00:23:22,200
+ممكن يكون null، مصدق؟ حسب المصدر. ففي الآخر، بغضّ
+
+319
+00:23:22,200 --> 00:23:25,120
+النظر، كان فيه عنده one value، one missing value or
+
+320
+00:23:25,120 --> 00:23:28,400
+more. فهذا الـ record بيحتوي على missing، أو هذا الـ
+
+321
+00:23:28,400 --> 00:23:34,520
+attribute الآن صار بيحتوي على missing. أسلم حل، أن
+
+322
+00:23:34,520 --> 00:23:39,040
+أحذف الـ rows اللي بتحتوي على الـ missing، وأريح حل،
+
+323
+00:23:39,040 --> 00:23:43,100
+تمام.
+
+324
+00:23:43,100 --> 00:23:47,680
+عشان أنا بدي أحط حلول صحيحة، وبدي أجيب value صحيحة،
+
+325
+00:23:47,680 --> 00:23:53,680
+عشان أحصل الحل صح، أو عفواً، أصلّح حل صح. الآن، لو كانت
+
+326
+00:23:53,680 --> 00:24:01,080
+الـ data  اللي عندي 100 ألف row، وبعد عملية الحذف،
+
+327
+00:24:02,200 --> 00:24:08,920
+بعد عملية الحذف، صارت اللي هي 95 ألف row. أنا
+
+328
+00:24:08,920 --> 00:24:12,940
+بالنسبة لي، مش فارق كبير، مش big deal، مش زعلان كثير،
+
+329
+00:24:12,940 --> 00:24:19,920
+أقول لك، لو صارت 50 ألف، برضه بالنسبة لي مش كتير، لأن
+
+330
+00:24:19,920 --> 00:24:24,160
+الـ data لسة still enough، يعني فيها كم .. لأ، بقى
+
+331
+00:24:24,160 --> 00:24:27,180
+ممكن أستخرج منه، لكن لو ضليت حافظ على الـ 100 ألف،
+
+332
+00:24:27,180 --> 00:24:27,880
+أحسن وأحسن.
+
+333
+00:24:31,060 --> 00:24:35,300
+لأن احنا اتكلمنا سابقًا، how much big is your data؟
+
+334
+00:24:35,300 --> 00:24:39,400
+كده، حجم البيانات اللي عندك؟ لأن كل row بمثابة
+
+335
+00:24:39,400 --> 00:24:42,960
+تعزيز للـ pattern، أو تعزيز للـ knowledge اللي أنا
+
+336
+00:24:42,960 --> 00:24:48,800
+بدأ أستخرجها، لكن في المقابل، اللي كانوا عندي ألف
+
+337
+00:24:48,800 --> 00:24:57,560
+record، صاروا تسعمية وخمسين، acceptable، لكن صاروا
+
+338
+00:24:57,560 --> 00:25:05,430
+خمسمية، لا يعني، وقف. على الرغم أن هذا نص وهذا نص، 50
+
+339
+00:25:05,430 --> 00:25:11,590
+ألف، نص، 50%، بس العدد بيفرق معي، 500 row is not
+
+340
+00:25:11,590 --> 00:25:15,430
+enough to train or to build a model، في معظم
+
+341
+00:25:15,430 --> 00:25:22,010
+الأحيان. طيب، مش الحل، بدك تجيب data set ثاني، لو
+
+342
+00:25:22,010 --> 00:25:26,600
+متوفرة؟ طيب، مش متوفرة، غير الألف هدول، بدي أبدأ
+
+343
+00:25:26,600 --> 00:25:31,500
+أعبي الـ missing data، بدي أبدأ أعبي الـ missing data
+
+344
+00:25:31,500 --> 00:25:37,640
+اللي موجودة عندهم. كيف بدي أعبيها؟ manually، بشكل
+
+345
+00:25:37,640 --> 00:25:41,840
+manual، يعني بدي أمر على كل row، أو كل عمود، row by
+
+346
+00:25:41,840 --> 00:25:47,660
+row، وأعبي الـ value اللي فيه. ممكن
+
+347
+00:25:47,660 --> 00:25:53,260
+شباب، الـ manual filling لا يعني بالضرورة أن أنا 100
+
+348
+00:25:53,260 --> 00:25:58,870
+% صح، تمام؟ أنا خارجة، لما بدي أتكلم على الـ manual
+
+349
+00:25:58,870 --> 00:26:02,090
+filling، بدي أروح أقول له، أين الـ document الأصلية
+
+350
+00:26:02,090 --> 00:26:05,570
+تبعتك اللي اعتمدتها، أو وين ممكن أجيء القيمة هذه،
+
+351
+00:26:05,570 --> 00:26:11,700
+ففي جهود، لكن مش .. ولو أنا رجعت للـ guessing، في
+
+352
+00:26:11,700 --> 00:26:15,280
+موضوع الـ guessing، الأصل يكون .. يعني لما بدي أخمن،
+
+353
+00:26:15,280 --> 00:26:17,560
+بدي، هتكون الـ value تبقى .. بدي تكون فيه confident،
+
+354
+00:26:17,560 --> 00:26:22,440
+يعني لما قلنا قبل شوية، متزوج، أو الـ status، الـ
+
+355
+00:26:22,440 --> 00:26:26,160
+marital status، متزوج، married، وفي pregnant، و
+
+356
+00:26:26,160 --> 00:26:30,020
+مفقود عند الـ gender، ما فهمش .. ما فيش، عاجلين، إثنين
+
+357
+00:26:30,020 --> 00:26:34,050
+بيختلفوا على إنه دي female، مصدق؟ وبالتالي، هذا
+
+358
+00:26:34,050 --> 00:26:37,570
+الكلام في هذه الشغلات، بيصير الـ guessing. محمود، الآن،
+
+359
+00:26:37,570 --> 00:26:42,970
+باجي أقول أن والله، الطلاب اللي موجودين عندي في
+
+360
+00:26:42,970 --> 00:26:49,410
+المدرسة، أعمارهم تتراوح من عشرة إلى ثلاث عشر سنة، وأجيء
+
+361
+00:26:49,410 --> 00:26:54,690
+الطالب عمره مش موجود، وتاريخ ميلاده مش موجود. لو
+
+362
+00:26:54,690 --> 00:26:59,190
+حذفته، تمام؟ احنا الآن خلصنا من موضوع الحذف، بدي أملأ
+
+363
+00:26:59,190 --> 00:27:05,220
+الـ data، بدي أملأ الـ data، إيش، أعبيها؟ لو حطيتها 12
+
+364
+00:27:05,220 --> 00:27:09,360
+بالمتوسط، بيمشي الحال، أثبت؟ هاي الـ guessing، ممكن
+
+365
+00:27:09,360 --> 00:27:13,980
+لو أنا شوفت عمر الولد، أو أروح أسأله، فلان، أنت في
+
+366
+00:27:13,980 --> 00:27:17,760
+أي صف؟ طلع فيك هيك، جاك في صف سادس،
+
+367
+00:27:20,950 --> 00:27:24,330
+ماشي، مصدق ولا لأ؟ إذا أنت حاسس أنه والله ممكن
+
+368
+00:27:24,330 --> 00:27:28,650
+الطالب هذا يكون مثلًا، أعاد سنة أو سنتين، فممكن تحطه
+
+369
+00:27:28,650 --> 00:27:31,730
+في بناء .. خلاص، بتصير happy guessing، محمود، وهذا
+
+370
+00:27:31,730 --> 00:27:36,250
+الكلام يصير تمام، لكن
+
+371
+00:27:36,250 --> 00:27:41,030
+عملية التعبئة الـ manual، أو التعبئة اليدوية للقيم
+
+372
+00:27:41,030 --> 00:27:53,290
+المفقودة، مملة وغير مشوقة، خلينا نشوف إيش غير مشوقة؟
+
+373
+00:27:53,290 --> 00:27:58,410
+لأنه مكلفة، مقارنة بالجهد اللي هيصير. مش مشوقة،
+
+374
+00:27:58,410 --> 00:28:05,070
+كثير. automatic، برمجيًا، برمجيًا، الخيارات اللي قدامي،
+
+375
+00:28:05,070 --> 00:28:09,490
+أن أروح على كل الـ missing، وأحط فيها global
+
+376
+00:28:09,490 --> 00:28:16,130
+constant. شو يعني global constant؟ أي رمز، بحيث أن
+
+377
+00:28:16,130 --> 00:28:17,290
+الرمز هذا يصير unknown.
+
+378
+00:28:20,640 --> 00:28:24,720
+بأعرف إنها missing، وفي نفس الوقت، لو بدّي أنبنى
+
+379
+00:28:24,720 --> 00:28:29,360
+عليها decision لاحقًا، في حالة الـ unknown بيكون كذا،
+
+380
+00:28:29,360 --> 00:28:36,140
+على سبيل المثال، if كذا، else if كذا، else if كذا، طيب،
+
+381
+00:28:36,140 --> 00:28:40,580
+الـ else الأخيرة، لو ما كانت ولا واحدة من هدول، في
+
+382
+00:28:40,580 --> 00:28:44,620
+حالة الـ switch case، case، case كذا، في الآخر بحط له
+
+383
+00:28:44,620 --> 00:28:47,900
+default، لو ما كانتش ولا واحدة من هدول، بصير بقول له أنا
+
+384
+00:28:47,900 --> 00:28:53,830
+في حالة الـ unknown. ممكن أخد decision، تمام؟ هذه ميزة،
+
+385
+00:28:53,830 --> 00:29:00,630
+أو أهمية للـ global constant، لكنه مش مفضل برضه، ليش؟
+
+386
+00:29:00,630 --> 00:29:03,910
+لأن كل ما كانت الـ rule تبعتي مبنية على fixed value،
+
+387
+00:29:03,910 --> 00:29:08,970
+يكون أحسن. كنت بقى تقول حاجة، جوابت عليك؟ ماشي الحال.
+
+388
+00:29:08,970 --> 00:29:14,010
+ممكن أعبيها automatic بالـ mean أو الـ median،
+
+389
+00:29:14,01
+
+445
+00:34:32,900 --> 00:34:37,500
+الشخص مريض أو غير مريض ربح ولا خسر، مظبوط؟ مش عارف
+
+446
+00:34:37,500 --> 00:34:42,520
+وبالتالي في حالة زي هذه أروح بحذف الـ record اللي
+
+447
+00:34:42,520 --> 00:34:49,540
+مافيش Target لأن نسبة الخطأ بهذه الحالة ستكون أكبر
+
+448
+00:34:49,540 --> 00:34:54,160
+واحد. الآن بما أن الحذف هو الحل الأمثل بالنسبة لي
+
+449
+00:34:54,160 --> 00:34:58,820
+الحل الأمثل، فأنا ممكن أروح أُحدد الـ rows الـ raw
+
+450
+00:34:58,820 --> 00:35:03,620
+اللي أنا بدي أحذفه، مثلاً بدي أحذف الـ raw رقم
+
+451
+00:35:03,620 --> 00:35:08,620
+واحد، اثنين، ثلاثة، أربعة، خمسة، ستة، سبعة. هاروح أقول له
+
+452
+00:35:08,620 --> 00:35:15,960
+بكل بساطة الـ dataset تبعتي .drop، بدي أعطيه الـ
+
+453
+00:35:15,960 --> 00:35:22,050
+index تبع الـ row اللي هي، هنقول مثلاً أربعة أربعة
+
+454
+00:35:22,050 --> 00:35:28,270
+in place = True، لأنه إذا أنا قلت له False
+
+455
+00:35:28,270 --> 00:35:33,390
+هذا يعني أني أنا بحاجة لـ dataset جديد، بيصير كذا
+
+456
+00:35:33,390 --> 00:35:37,530
+لأنه سيقوم بإنشاء dataset جديد بعد الحذف، إذا
+
+457
+00:35:37,530 --> 00:35:41,070
+أنا قلت له in place، سيحدث التغيير على نفس الـ dataset
+
+458
+00:35:41,070 --> 00:35:44,570
+اللي إحنا شغالين عليها، تمام؟ هذا الفرق بين
+
+459
+00:35:44,570 --> 00:35:49,070
+الـ True والـ False. الـ axis عشان يقول لي أنت بدك
+
+460
+00:35:49,070 --> 00:35:56,870
+تحذف من الصفوف أم من الأعمدة. طيب تعالَ نأخذ
+
+461
+00:35:56,870 --> 00:36:00,310
+مثال. هذه الـ dataset تبعتنا، وليكن اسم هذه الـ dataset
+
+462
+00:36:00,310 --> 00:36:05,250
+اسمها data، وأنا قررت أحذف row أو أحذف
+
+463
+00:36:05,250 --> 00:36:10,650
+عمود. هذا الـ code سيقوم بتغيير الـ argument، ويقوم بحذف الصف
+
+464
+00:36:10,650 --> 00:36:14,780
+أو العمود. لو أنا بدي أعمله بـ Java، أو بدك تقوم
+
+465
+00:36:14,780 --> 00:36:20,420
+ ببرنامج لحذف  في العمود أو الصف، بدك تعمل for loop و
+
+466
+00:36:20,420 --> 00:36:25,000
+بدك تعرف الـ array بـ dimension أقل، مظبوط؟ سواء كان
+
+467
+00:36:25,000 --> 00:36:28,160
+dimension أو بتعرف الصف أو العمود أقل، وبالتالي بدك
+
+468
+00:36:28,160 --> 00:36:31,700
+تُسير وتأخذ وتنقل من array لـ array، ولما تصل لـ
+
+469
+00:36:31,700 --> 00:36:34,220
+certain row أو الـ certain attribute، تعمله ignore
+
+470
+00:36:34,220 --> 00:36:39,060
+وتأخذ اللي بعده، مظبوط؟ بينما هذا سطر واحد
+
+471
+00:36:39,060 --> 00:36:43,980
+فقد حَلّ المشكلة. الفكرة أنك تروح تعمل
+
+472
+00:36:43,980 --> 00:36:49,440
+implementation للشغل من الصفر، بس فعلياً أنت الآن
+
+473
+00:36:49,440 --> 00:36:53,580
+أنتَ، كـ user أو كـ developer، لما أعرف أن الآن في
+
+474
+00:36:53,580 --> 00:36:55,780
+حدّ فيكم بيروح بيعمل implementation لـ power
+
+475
+00:36:55,780 --> 00:36:58,840
+method بـ Java، بيروح بيقول ولا بيستخدم الموجود
+
+476
+00:36:58,840 --> 00:37:03,490
+power. طيب ما إحنا بنعرف كيف نعملها implementation، بس
+
+477
+00:37:03,490 --> 00:37:08,110
+ما نستخدمهاش، ليش؟ لأنها جاهزة، نفس الـ complexity، صحيح، بس
+
+478
+00:37:08,110 --> 00:37:11,690
+من ناحية أني أنا كـ developer، صارت أسهل في الاستخدام
+
+479
+00:37:11,690 --> 00:37:17,650
+طيب، فأنا ممكن أُحدث صفّاً أو عموداً حسب حاجتي، مع تغيير
+
+480
+00:37:17,650 --> 00:37:24,130
+الـ axis. إذا أنا بدي أحدث الـ attribute، لو لاقيت فيه
+
+481
+00:37:24,130 --> 00:37:27,630
+Null، certain attribute، وليه يكون الـ label على سبيل
+
+482
+00:37:27,630 --> 00:37:31,130
+المثال، أو الـ A أو الـ B، بدي أحدث، يعني إذا مجرد
+
+483
+00:37:31,130 --> 00:37:37,590
+ما ألاقي فراغ في العمود هذا، بدي أحذفه. قلنا هذا
+
+484
+00:37:37,590 --> 00:37:40,290
+أكثر شيء مهم مع الـ label، بما أن الـ label هذا
+
+485
+00:37:40,290 --> 00:37:44,310
+موجود، مش... عفواً... الـ label هذا مفقود، فالـ row
+
+486
+00:37:44,310 --> 00:37:49,370
+هذا بدي أحذفه، يعني ببساطة بدي أحذف الـ rows اللي
+
+487
+00:37:49,370 --> 00:37:54,000
+فيها الـ label مفقود. بدي أحذف الـ rows اللي فيها الـ
+
+488
+00:37:54,000 --> 00:37:58,740
+label مفقود. يعني ببساطة، الحذف سيكون تبع للـ Null
+
+489
+00:37:58,740 --> 00:38:02,120
+في certain attribute. كل اللي بيلزم أعرفه، إيش الـ
+
+490
+00:38:02,120 --> 00:38:05,380
+title أو إيش الـ index تبعته. فبقول له الـ data
+
+491
+00:38:05,380 --> 00:38:14,200
+dataset.notnull. هنا إيش... إيش اللي صار فعلياً هنا؟
+
+492
+00:38:14,200 --> 00:38:21,400
+هو أخذ نسخة من الـ data اللي إلها قيم
+
+493
+00:38:21,400 --> 00:38:27,140
+وتجاهل الـ Null. يعني ببساطة، هو راح يقوم بـ
+
+494
+00:38:27,140 --> 00:38:30,060
+generation لـ new dataset، فيها واحد، اثنين،
+
+495
+00:38:30,060 --> 00:38:35,980
+ثلاثة، أربعة، خمسة، ستة، six rows فقط. بس الآن، لما
+
+496
+00:38:35,980 --> 00:38:39,120
+يكون أني أنا استخدمت نفس الـ dataframe name
+
+497
+00:38:39,120 --> 00:38:43,600
+فأحطه، أعمل override، تمام؟ بس الأصل أنه سيقوم بـ
+
+498
+00:38:43,600 --> 00:38:49,770
+generation لـ new dataset. وهيك أنا خلصت من الـ rows
+
+499
+00:38:49,770 --> 00:38:55,910
+اللي مافيهاش label. إذا أنا وين ما ألاقي في الصف
+
+500
+00:38:55,910 --> 00:39:02,510
+Null، بغض النظر، في كل الـ data الستة تبعتي، وين ما
+
+501
+00:39:02,510 --> 00:39:05,750
+ألاقي Null، بدي أحذف الـ row. بيلجأ للـ command
+
+502
+00:39:05,750 --> 00:39:11,830
+الأخير، data.dropna. مش بروح بساوي
+
+503
+00:39:11,830 --> 00:39:16,350
+بيصير يعمل  scanning على الـ rows، الـ rows، الـ row
+
+504
+00:39:16,350 --> 00:39:21,530
+اللي فيه Null، بيحذفه، بدون ما أُحدد هنا. كان بناءً على
+
+505
+00:39:21,530 --> 00:39:25,750
+certain attribute، أخذ اللي فيهم الـ data و ساب
+
+506
+00:39:25,750 --> 00:39:30,190
+الـ Null. لكن هنا، سيمرّ على الـ row، كلها، هي الـ
+
+507
+00:39:30,190 --> 00:39:34,650
+row الأول فيه Null، بغض النظر في أي مكان، سيحذفه
+
+508
+00:39:34,650 --> 00:39:39,210
+وبالتالي هذا سيحذف، وهذا سيحذف، وهذا سيحذف.
+
+509
+00:39:41,960 --> 00:39:45,720
+شو صار في الـ dataset كلها؟ الحدث قد  فرّغ الـ data
+
+510
+00:39:45,720 --> 00:39:51,600
+set اللي أنا عملت لها sample. عشان هيك هذا كويس ومريح
+
+511
+00:39:51,600 --> 00:40:04,040
+بس متى مباشرة أروح أقول له print، print data.
+
+512
+00:40:04,040 --> 00:40:10,820
+shape، هيقول لي مثلاً 100 ألف record و 15 attribute
+
+513
+00:40:12,800 --> 00:40:18,240
+بعد ما أكون نفّذت العملية هذه، أروح أقول له print كمان
+
+514
+00:40:18,240 --> 00:40:24,220
+مرة، الـ data.shape، هيديني
+
+515
+00:40:24,220 --> 00:40:32,960
+رقم، جالي خمسة آلاف وخمسة عشر. لا يا عمي، خلاص، ما هي
+
+516
+00:40:32,960 --> 00:40:36,680
+already أنا حلّيتها في الـ data set الجديدة، فالفكرة بتصير
+
+517
+00:40:36,680 --> 00:40:41,340
+أقدر أفهم أنا قد ايش حجم الجزء اللي انحذف، وهذا
+
+518
+00:40:41,340 --> 00:40:46,000
+بالنسبة لي أريح. عملية الحذف، لو أنا فعلياً حافظت على
+
+519
+00:40:47,200 --> 00:40:50,420
+البيانات... خلّيني أقول نسبة وجود البيانات بشكل كويس
+
+520
+00:40:50,420 --> 00:40:54,160
+يعني زي ما قلنا سابقاً، كانت مئة ألف، وقال لي
+
+521
+00:40:54,160 --> 00:40:58,200
+صار في عندك خمسين ألف record، okay، ممكن أمشي فيها
+
+522
+00:40:58,200 --> 00:41:01,000
+لكن إذا قال لي والله ظلّ... ظلّ عندك خمسة وتسعون
+
+523
+00:41:01,000 --> 00:41:05,160
+ألف، يكون أحسن وأحسن. لكن قال لي خمسة آلاف، لا، يعني هذه
+
+524
+00:41:05,160 --> 00:41:09,400
+العملية ما بتنفعش، لازم أعمل refill أو Alternative
+
+525
+00:41:09,400 --> 00:41:14,060
+وبالتالي، أسهل حاجة إيش أسوي؟ أسهل حاجة، الحدث، بس
+
+526
+00:41:14,060 --> 00:41:31,900
+ما يكونش بأثر على حجم الـ dataset اللي عندك، تخزين
+
+527
+00:41:31,900 --> 00:41:36,220
+البيانات، بشكل manual أو
+
+528
+00:41:36,220 --> 00:41:43,690
+بدي أعبي الـ missing هذه بشكل manual، بشكل manual، okay.
+
+529
+00:41:43,690 --> 00:41:46,390
+معناته أنا بدي أعرف الـ attribute هذا، أو عفواً، الـ
+
+530
+00:41:46,390 --> 00:41:49,710
+value هذه، في أي صف وأي عمود، بدي أعرف الـ index
+
+531
+00:41:49,710 --> 00:41:53,470
+تبعتها. ممكن أنا أكتب code عشان يعبيها، وممكن أكون
+
+532
+00:41:53,470 --> 00:41:56,530
+أفتح الـ dataset من خلال الـ Excel sheet تبعتي، و
+
+533
+00:41:56,530 --> 00:42:00,310
+أروح أعدلها بشكل مباشر، وأعمل reload للـ data، لكن
+
+534
+00:42:00,310 --> 00:42:03,890
+إذا بتعتمد على الـ index، في عندي index location 9,2.
+
+535
+00:42:03,890 --> 00:42:08,230
+الصف التاسع، العمود الثاني، حط الـ value بالشكل هذا.
+
+536
+00:42:08,900 --> 00:42:12,080
+إذا أنا بدي أحطها بالـ mean، أو بدي أخزن الـ value
+
+537
+00:42:12,080 --> 00:42:15,480
+automatically بالـ mean أو الـ median، الأمر بسيط جداً،
+
+538
+00:42:15,480 --> 00:42:21,340
+الآن الـ dataset تبعتي مع
+
+539
+00:42:21,340 --> 00:42:27,900
+الـ attribute، أو الـ data مع الـ attribute، مع A1 شو
+
+540
+00:42:27,900 --> 00:42:35,560
+بدها تساوي؟ نفس الـ attribute A1
+
+541
+00:42:35,560 --> 00:42:42,980
+.fillna. شو يعني fillna؟ في الـ attribute
+
+542
+00:42:42,980 --> 00:42:50,020
+الفلاني اللي هو أي واحد، عبي الـ not available بـ
+
+543
+00:42:50,020 --> 00:42:55,420
+certain value. لو أنا قلت له 15 أو 10، سيأخذ الـ
+
+544
+00:42:55,420 --> 00:42:58,740
+15 والـ 10، سيعبيها في كل الـ attribute، عفواً، في
+
+545
+00:42:58,740 --> 00:43:02,450
+كل الـ rows الفاضية في الـ attribute هذا. في الـ not
+
+546
+00:43:02,450 --> 00:43:06,970
+available. لكن أنا بدي إياه يروح يحسب للمتوسط تبع
+
+547
+00:43:06,970 --> 00:43:14,090
+العمود هذا. فبروح بأخذ الـ data كمان مرة، الـ A1 ضد الـ
+
+548
+00:43:14,090 --> 00:43:19,750
+mean as a function، أو
+
+549
+00:43:19,750 --> 00:43:24,010
+ممكن آخذ الـ mean هذه as a value سابقاً وأعطيه إياها
+
+550
+00:43:24,010 --> 00:43:27,850
+فمش فارق كتير معي. وبهيك أصبحت أنا بأخذ الـ mean
+
+551
+00:43:28,910 --> 00:43:31,770
+تبع الـ values اللي موجودة. طبعاً ممكن بكل بساطة
+
+552
+00:43:31,770 --> 00:43:34,910
+أستبدلها بالـ median، بالـ maximum، بالـ most frequent
+
+553
+00:43:34,910 --> 00:43:40,790
+أحياناً حسب حاجتي، وطبعاً كلّه لما بتكلم على الـ
+
+554
+00:43:40,790 --> 00:43:43,370
+minimum، والـ maximum، والـ median، والـ frequent
+
+555
+00:43:43,370 --> 00:43:46,470
+كلها عبارة عن method، function جاهزة، ما عليك إلا
+
+556
+00:43:46,470 --> 00:43:51,650
+أن تستبدل، وتشوف الـ function المناسبة لك. الـ noisy
+
+557
+00:43:51,650 --> 00:43:57,470
+data بالنسبة
+
+558
+00:43:57,470 --> 00:44:02,790
+للـ noisy data. إحنا متفقين أن الـ noisy data يعني الـ
+
+559
+00:44:02,790 --> 00:44:06,190
+data موجودة، مش مفقودة، لكن الـ data خاطئة، الـ data
+
+560
+00:44:06,190 --> 00:44:12,430
+خاطئة. والأسباب تقريباً نفس الأسباب السابقة، ممكن الـ
+
+561
+00:44:12,430 --> 00:44:15,530
+system، أو أثناء الـ data collection، أصبح في عندي
+
+562
+00:44:15,530 --> 00:44:19,210
+error معين، في الآلة، في الـ thermometer، أو في الـ
+
+563
+00:44:19,210 --> 00:44:22,670
+data entry، أصبح في عندي مشكلة، يعني في لحظة من
+
+564
+00:44:22,670 --> 00:44:25,290
+اللحظات، كان في عندي الميزان، طلعت على الميزان اللي
+
+565
+00:44:25,290 --> 00:44:28,520
+هو بالعادة بيقول 200 كيلو. طبعاً، نطيت، جربت، شرحت
+
+566
+00:44:28,520 --> 00:44:31,540
+الجاكيت، وطلعت ثانيةً على الميزان، قال لي 91 مثلاً.
+
+567
+00:44:31,540 --> 00:44:34,600
+آه، هي inconsistent. طب، القراءات اللي كانت في الأول إيش
+
+568
+00:44:34,600 --> 00:44:39,200
+سببها؟ الجاكيت، ومش عارف قد ايش كيلو الجاكيت
+
+569
+00:44:39,200 --> 00:44:43,680
+نشارك الله ما شاء الله عليك، أو ممكن كان فيها 100
+
+570
+00:44:43,680 --> 00:44:47,860
+ألف دولار الجاكيت، تمام؟
+
+571
+00:44:47,860 --> 00:44:50,940
+ممكن يكون صار في عندي، أثناء الـ data transmission، نقل
+
+572
+00:44:50,940 --> 00:44:56,160
+البيانات عبر الشبكة، صار في عندي تغيير بسيط، ممكن
+
+573
+00:44:56,160 --> 00:44:59,060
+يؤثر. برضه الـ technology limitation، أحياناً بتكون
+
+574
+00:44:59,060 --> 00:45:05,320
+الـ value اللي بده تنقرأ هذه، أكبر من... يعني تخيّل
+
+575
+00:45:05,320 --> 00:45:08,360
+أنه أنا فعلياً قيمة، عاملها variable integer بـ
+
+576
+00:45:08,360 --> 00:45:12,860
+Java، والقيمة اللي اجت أكبر، تمام؟ فوق الأربع
+
+577
+00:45:12,860 --> 00:45:16,160
+مليار، أو long integer، فشو بيصير فيها؟ بيجيب
+
+578
+00:45:16,160 --> 00:45:18,100
+لأخر قيمة من السالب... من السالب. طب المفروض
+
+579
+00:45:18,100 --> 00:45:22,340
+ما تكونش القيمة سالبة. inconsistent naming
+
+580
+00:45:22,340 --> 00:45:27,460
+convention. المعاني أو في التسميات، صار في عندي عدم
+
+581
+00:45:27,460 --> 00:45:32,240
+أو في تضارب، خلّنا نقول، في التفسير اللي موجود عندها
+
+582
+00:45:32,240 --> 00:45:36,000
+طبعاً، الـ duplicate record يا شباب، أحياناً برضه بدها
+
+583
+00:45:36,000 --> 00:45:38,640
+معالجة، كنوع من الأخطاء اللي موجودة عندها. كيف بدنا
+
+584
+00:45:38,640 --> 00:45:42,580
+نعالج الـ noisy data؟ معالجة الـ noisy data، إما بطريقة
+
+585
+00:45:42,580 --> 00:45:48,480
+بيسموها الـ binning، أو الـ regression، clustering، أو
+
+586
+00:45:48,480 --> 00:45:51,080
+فعلياً، بتعمل... وهدول طبعاً كلها أدوات أو ممكن
+
+587
+00:45:51,080 --> 00:45:55,200
+algorithms، وممكن أن أدخل الـ computer أو الآلة مع
+
+588
+00:45:55,200 --> 00:46:01,040
+الإنسان. بالنسبة للـ binning، بالنسبة
+
+589
+00:46:01,040 --> 00:46:04,240
+للـ binning. الـ binning مفهومها أنه سأذهب لـ
+
+590
+00:46:04,240 --> 00:46:06,660
+الـ attribute هذا، آخذ الـ values تبع الـ attribute اللي
+
+591
+00:46:06,660 --> 00:46:13,600
+عندي هنا، أرتبها، رقم واحد، أرتبها، وبعدين أروح
+
+592
+00:46:13,600 --> 00:46:19,490
+أُجسمها لفئات. تعالَ نشوف، عفواً، في موضوع البناء، فالآن
+
+593
+00:46:19,490 --> 00:46:26,350
+هذه الـ data اللي قدامي، هي عبارة عن sorted data، بدي
+
+594
+00:46:26,350 --> 00:46:32,870
+أكتبها بشكل مختلف. هي مثلاً: خمسة عشر، أربعة، تسعة، واحد
+
+595
+00:46:32,870 --> 00:46:42,050
+وعشرين، أربعة وعشرين، ثمانية وعشرين، ثمانية، خمسة عشر
+
+596
+00:46:42,050 --> 00:46:50,120
+موجودة. إحنا قلنا خمسة وعشرين، وكمان مرة: 21، 26، و34.
+
+597
+00:46:50,120 --> 00:46:54,100
+هذه الـ values الموجودة عندي، هي الـ data، هيك جاية
+
+598
+00:46:54,100 --> 00:46:57,540
+الـ sequence، بالـ sequence هذا، في الـ attribute. أول
+
+599
+00:46:57,540 --> 00:47:02,680
+خطوة في موضوع الـ binning، بتعمل sort، رتبتهم تصاعدياً
+
+600
+00:47:02,680 --> 00:47:06,640
+فرتبنا الـ data. الآن، بالنسبة للـ binning يا شباب
+
+601
+00:47:06,640 --> 00:47:13,030
+بإمكانك تشتغل على الـ equal frequency، يعني تكون كل
+
+602
+00:47:13,030 --> 00:47:17,670
+مجموعة نفس العدد، أو تشتغل على الـ equal depth زي ما
+
+603
+00:47:17,670 --> 00:47:23,370
+صار في الـ histogram، تمام؟ بتصير تحدد range، وتُعِب كل
+
+604
+00:47:23,370 --> 00:47:26,570
+الـ values اللي بتجي وين؟ في الـ range هذا. بينما
+
+605
+00:47:26,570 --> 00:47:31,310
+بالـ equal frequency، معناته كل range له نفس العدد
+
+606
+00:47:31,310 --> 00:47:35,210
+من الـ elements. كل value... range له نفس العدد من
+
+607
+00:47:35,210 --> 00:47:40,310
+الـ elements، فبُجسمهم بالتساوي. الآن، هنا في كلام بسيط
+
+608
+00:47:40,310 --> 00:47:46,150
+لازم تفهمه. أنا بدي أحاول أتخلص من الـ noisy data أو
+
+609
+00:47:46,150 --> 00:47:50,410
+قيمة خاطئة، تمام؟ أنا فعلياً، القيمة الخاطئة هذا، مش قادر
+
+610
+00:47:50,410 --> 00:47:54,350
+أمسكها لحدّ اللحظة، أنا مش عارف هي الأربعة ولا
+
+611
+00:47:54,350 --> 00:47:59,
+
+667
+00:52:16,920 --> 00:52:20,480
+الأولى كان 9 المتوسط الحسابي للمجموعة الثانية 23
+
+668
+00:52:20,480 --> 00:52:25,980
+المتوسط الحسابي للمجموعة الثالثة 29 إيش حصل أنا
+
+669
+00:52:25,980 --> 00:52:29,720
+بعد ذلك يا شباب الـ data هذه هترجع لأصلها، الـ 15 كان
+
+670
+00:52:29,720 --> 00:52:34,720
+في المجموعة الأولى، صح؟ صار مكانه 9، الأربعة في
+
+671
+00:52:34,720 --> 00:52:39,260
+المجموعة الأولى 9، 9، 21 كانت في المجموعة الثانية
+
+672
+00:52:39,260 --> 00:52:46,050
+صارت 23، 28 كانت في المجموعة الثالثة صارت 29
+
+673
+00:52:46,050 --> 00:52:50,290
+ثمانية في المجموعة الأولى، تسعة، خمسة وعشرون في
+
+674
+00:52:50,290 --> 00:52:54,550
+المجموعة الثانية، ثلاثة وعشرون، الواحد والعشرون
+
+675
+00:52:54,550 --> 00:52:58,070
+ثلاثة وعشرون، ستة وعشرون في المجموعة الثانية صارت
+
+676
+00:52:58,070 --> 00:53:01,870
+تسعة وعشرون، وهذه صارت تسعة وعشرون، هذه لأن أنا
+
+677
+00:53:01,870 --> 00:53:05,590
+اشتغلت على أربعة bins، واستخدمت الـ mean، الحل الآخر
+
+678
+00:53:05,590 --> 00:53:10,130
+أن ممكن أنا اشتغل على الـ boundaries، شو هي الـ
+
+679
+00:53:10,130 --> 00:53:15,290
+boundaries؟ أنا هاجي أقول هي، بعد الـ sort، القيم الـ
+
+680
+00:53:15,290 --> 00:53:18,390
+boundary هاي، أو القيم الحدودية هذه، بدي أحافظ عليها
+
+681
+00:53:18,390 --> 00:53:25,930
+وبدي أغير كل اللي في الداخل حسب هي أقرب لمين، تسعة
+
+682
+00:53:25,930 --> 00:53:28,230
+أقرب لتسعة .. للأربعة ولا الخمسة؟ .. ثمانية، أربعة
+
+683
+00:53:28,230 --> 00:53:32,070
+ولا خمسة عشر؟ أربعة، أربعة، معناته دي أربعة، تسعة
+
+684
+00:53:32,070 --> 00:53:36,670
+أربعة ولا خمسة عشر؟ أربعة، الفرق هنا خمسة، والفرق
+
+685
+00:53:36,670 --> 00:53:40,570
+هنا ستة، معناته هنا أربعة، ونفس الكلام، واحد وعشرون
+
+686
+00:53:40,570 --> 00:53:45,070
+هذي هتظل واحد وعشرون، وهذي هتصير خمسة وعشرون، هذي
+
+687
+00:53:45,070 --> 00:53:49,450
+ثمانية، ستة وعشرون، وهذي ستة وعشرون، وأربعة و
+
+688
+00:53:49,450 --> 00:53:52,950
+ثلاثين، وهيك صار في عندي الآن أكثر من طريقة عشان
+
+689
+00:53:52,950 --> 00:53:58,650
+أتعامل مع الـ bins، وبهيك يصير في عندي data set
+
+690
+00:53:58,650 --> 00:54:04,010
+smooth، لكن كمان مرة برجع بقول لك، كل مكان عدد الـ bins
+
+691
+00:54:04,010 --> 00:54:09,970
+أكبر بـ frequent أو بـ items، أكبر بيكون أفضل بالنسبة
+
+692
+00:54:09,970 --> 00:54:14,410
+لك، لأنه بتحاول تحط الـ data في الـ real case تبعتها
+
+693
+00:54:14,410 --> 00:54:17,750
+وبهيك احنا بننهي محاضرتنا إن شاء الله، وبنحاول
+
+694
+00:54:17,750 --> 00:54:20,410
+نكمل المحاضرة الجاية في موضوع الـ regression والـ
+
+695
+00:54:20,410 --> 00:54:20,950
+clustering
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..0e1207062598082aa7c62b6c6c410f30f8bb0ec7
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_postprocess.srt
@@ -0,0 +1,2780 @@
+1
+00:00:05,350 --> 00:00:07,290
+بسم الله والحمد لله و الصلاة والسلام على رسول الله
+
+2
+00:00:07,290 --> 00:00:13,340
+اليوم ان شاء الله شبابهنبدأ فعليا تقريبا بأول شغل
+
+3
+00:00:13,340 --> 00:00:17,980
+عملي في ال data mining وهجوز إيه في ال data
+
+4
+00:00:17,980 --> 00:00:21,120
+preparation ممكن المحاضرة نشوف فيها بعض الأكواد
+
+5
+00:00:21,120 --> 00:00:24,540
+اليوم لكن المحاضرة الجاية حتما يعني لازم نطبقنا
+
+6
+00:00:24,540 --> 00:00:27,920
+بعض الأشياء العملية مع بعض سواء كنا هنشتغل بال
+
+7
+00:00:27,920 --> 00:00:30,320
+python أو نشتغل بال RapidMiner و هنجرب التنتين
+
+8
+00:00:30,320 --> 00:00:33,780
+معاك و في بعض ال slides اليوم هتكون جاهزة عليها
+
+9
+00:00:33,780 --> 00:00:36,140
+بعض الأكواد ال python اللي ممكن تخدمني بس من باب
+
+10
+00:00:36,140 --> 00:00:42,560
+تحفيزكللتعامل مع الـ Python بالجابع على سبيل
+
+11
+00:00:42,560 --> 00:00:45,400
+المثال يا رامي زي ما كنت بتقول حنبدأ اليوم
+
+12
+00:00:45,400 --> 00:00:49,080
+محاضرتنا كل المحاضرات الماضية اللي بنتكلم على ال
+
+13
+00:00:49,080 --> 00:00:52,060
+data understanding وقلنا المفهوم ال data
+
+14
+00:00:52,060 --> 00:00:55,020
+understanding انه لازم انا أصير فاهم ال data اللي
+
+15
+00:00:55,020 --> 00:00:57,760
+عندي او familiar مع ال data اللي عندي بشكل كويس
+
+16
+00:00:57,760 --> 00:01:00,960
+بحيث انه كل ما انا فهمت ال data بقدر افهم ايش ال
+
+17
+00:01:00,960 --> 00:01:05,630
+taskاللي بدي اياها بقدر افهم احوّر ال data بحيث
+
+18
+00:01:05,630 --> 00:01:08,490
+انا تصبق مع ال task اللي انا بدي اروحلها و كنا
+
+19
+00:01:08,490 --> 00:01:12,590
+بنطرح على حالنا مجموعة من الأسئلة كان أهمها هل ال
+
+20
+00:01:12,590 --> 00:01:15,830
+data هذه relevant لل topic ولا لأ هل ال data هذه
+
+21
+00:01:15,830 --> 00:01:20,630
+كافية من أجل enough أو كافية من أجلإن أبني عليها
+
+22
+00:01:20,630 --> 00:01:24,010
+model ولا لأ؟ هل في مصادر أخرى للبيانات ممكن
+
+23
+00:01:24,010 --> 00:01:27,350
+تدعمني في هالاتجاه هذه؟ هل ال data هذه حقيقية ولا
+
+24
+00:01:27,350 --> 00:01:33,390
+صناعية؟ هل ال data هذه مناسبة .. بس كمان بتحل
+
+25
+00:01:33,390 --> 00:01:37,390
+المشكلة ولا بتحل ال hash؟قديمة ولا جديدة فكل
+
+26
+00:01:37,390 --> 00:01:41,650
+الشغلات هذه كانت تتدعم باتجاه واحد فقط ان انا اصير
+
+27
+00:01:41,650 --> 00:01:45,750
+familiar مع البيانات اللي موجودة عندى بعد ما احنا
+
+28
+00:01:45,750 --> 00:01:48,730
+و كنا طلبنا نهاية المحاضرة الماضية ان كل واحد فيكو
+
+29
+00:01:48,730 --> 00:01:52,670
+او كل معفن كل مجموع تحدد two datasets واحدة for
+
+30
+00:01:52,670 --> 00:01:56,070
+regression واحدة for ال classification و كنا
+
+31
+00:01:56,070 --> 00:02:00,270
+زودناك ب exampleبعض الـ URLs اللي ممكن توجد من
+
+32
+00:02:00,270 --> 00:02:03,310
+خلالها Data Sets دلوقتي في Data Sets في الـ Open
+
+33
+00:02:03,310 --> 00:02:06,350
+Data Sets في Google Open Data Sets في شغلات كتيرة
+
+34
+00:02:06,350 --> 00:02:09,810
+في أي مكان ممكن تختار ال Data Set اللي موجودة و
+
+35
+00:02:09,810 --> 00:02:15,090
+بقى ذكرك لازم تشكل مجموعة أو تنضاف لمجموعة بعد هي
+
+36
+00:02:15,090 --> 00:02:20,710
+كانت حصير الشغل جماعيال data wrangling عفوا او ال
+
+37
+00:02:20,710 --> 00:02:23,410
+preprocessing او ال data preparation زي ما بسميها
+
+38
+00:02:23,410 --> 00:02:27,850
+البعض ان هو فعليا اول خطوة على ال real data انا
+
+39
+00:02:27,850 --> 00:02:31,710
+جبت ال data set سواء كانت text file او data file
+
+40
+00:02:31,710 --> 00:02:35,050
+او csv file او excel file ابغض النظر ايش كانت
+
+41
+00:02:35,050 --> 00:02:39,590
+اصبحت ال data هاي موجودة وبالتالي بالنسبة لي ال
+
+42
+00:02:39,590 --> 00:02:45,080
+data هذه غالبا هي عبارة في ال raw formatشو يعني
+
+43
+00:02:45,080 --> 00:02:49,660
+Raw Format؟ خام بالنسبة لي في اللحظة اللي انا بقول
+
+44
+00:02:49,660 --> 00:02:53,300
+انه الجدول هذا او ال csv file هذا مابت .. الآن
+
+45
+00:02:53,300 --> 00:02:58,100
+مابدهش اي شغل بتصير ال data هذه جاهزة انه ابني
+
+46
+00:02:58,100 --> 00:03:02,880
+عليها data mining taskتمام؟ وهذا الكلام ما بيتم
+
+47
+00:03:02,880 --> 00:03:06,620
+إلا غير بعض فحص أو إجراء بعض التعديلات على
+
+48
+00:03:06,620 --> 00:03:09,980
+البيانات اللي موجودة عندها من بعض الشغلات الخامس
+
+49
+00:03:09,980 --> 00:03:12,960
+يا عماب اللي أنا بتكلم عليها لو كانت ال data set
+
+50
+00:03:12,960 --> 00:03:17,680
+هي عبارة عن مجموعة من الصور على سبيل المثال تي
+
+51
+00:03:17,680 --> 00:03:21,400
+طبيب عظام قرر إنه بدي يحاول يسمع بال data science
+
+52
+00:03:21,400 --> 00:03:24,140
+أو بال data mining وقال لك والله أنا بدي أعمل
+
+53
+00:03:24,140 --> 00:03:29,920
+برنامج أديله صورة الأشعة تمام؟يبدأ هو يدور عن الـ
+
+54
+00:03:29,920 --> 00:03:32,420
+possible fractions الموجودة سواء كان بلغتنا
+
+55
+00:03:32,420 --> 00:03:36,700
+البسيطة كسر واضح أو شعر مش مبين يعني بدي ابني
+
+56
+00:03:36,700 --> 00:03:39,980
+smart system عشان يحددلي ال fraction اللي ممكن
+
+57
+00:03:39,980 --> 00:03:45,760
+يصير في العضم ممتاز ايش ال data تتبعتي؟ بقولي
+
+58
+00:03:45,760 --> 00:03:51,820
+والله انا محتفظ ب100 ألف صورة أشعةتمام؟ X-rays
+
+59
+00:03:51,820 --> 00:03:55,900
+موجودات للمجال هذه و كلها .. كلها بشخصك بدي أحط
+
+60
+00:03:55,900 --> 00:03:59,500
+عليها label هذه فيها كسر و بحدد لك مكانه و هذه
+
+61
+00:03:59,500 --> 00:04:02,860
+فيها شعر و بحدد لك مكانه عشان ال system تبعتك الان
+
+62
+00:04:02,860 --> 00:04:07,380
+ال raw data تبعتك هي صور الأشعع هايطب ماشي حال
+
+63
+00:04:07,380 --> 00:04:10,300
+بدنا special scanner اعملناها scanning ودخلناها
+
+64
+00:04:10,300 --> 00:04:13,340
+على ال system raw data ما زالت في اللحظة اللي
+
+65
+00:04:13,340 --> 00:04:17,740
+بتقدر تحول الصورة هذه لجدول لجداول تقدر تشتغل
+
+66
+00:04:17,740 --> 00:04:21,860
+تشتغل عليها mining بتكون أنت فعليا روحت باتجاه ال
+
+67
+00:04:21,860 --> 00:04:25,620
+task الصحيحة وخلصت من ال raw data ووصلت لوين؟
+
+68
+00:04:25,620 --> 00:04:30,360
+للمعدن أو لل value اللي أنت بدك إياها مثل تماما
+
+69
+00:04:30,360 --> 00:04:35,010
+المنقبين عن البتروللأن هو أخد وصل إلى بير النفط أو
+
+70
+00:04:35,010 --> 00:04:38,290
+حصل على البترول لكن هذا البترول أو هذا البترول
+
+71
+00:04:38,290 --> 00:04:41,910
+الخام غير مناسب للناس فماشي بروح مساعده فيه؟
+
+72
+00:04:41,910 --> 00:04:44,290
+بتدخلوا ع مصانع التكرير عشان يصدر منه البنزين
+
+73
+00:04:44,290 --> 00:04:48,110
+والسولار إلى آخرين وبالتالي أنا بدي أروح ال road
+
+74
+00:04:48,110 --> 00:04:52,570
+بحيث أنها تصبح suitable أعالجها بحيث أنها تصبح
+
+75
+00:04:52,570 --> 00:04:55,750
+suitable لل task أو لل analysis اللي أنا بدي أشتغل
+
+76
+00:04:55,750 --> 00:05:01,940
+عليهطبعا الأن لما بتكلم على ال data preparation
+
+77
+00:05:01,940 --> 00:05:07,240
+عادة هي عبارة عن software by-blind أو coding by
+
+78
+00:05:07,240 --> 00:05:11,120
+-blind شو يعني by-blind يا شباب؟ خط .. خط إنتاج
+
+79
+00:05:11,120 --> 00:05:15,220
+method بتروح بتدور على ال missing data و بتعالجها
+
+80
+00:05:15,220 --> 00:05:19,340
+method تانية أو data تانية بتعالج ال inconsistent
+
+81
+00:05:19,340 --> 00:05:24,570
+data تالتة بتعالج مثلا ال noise dataوكل مخرج يعني
+
+82
+00:05:24,570 --> 00:05:28,310
+الآن بدخل ال raw data لل missing ال output تبع ال
+
+83
+00:05:28,310 --> 00:05:32,530
+missing بروح بعد ده و بدخله عليه as input لل noise
+
+84
+00:05:32,530 --> 00:05:35,230
+data و ال noise data بتروح لل inconsistent بعد
+
+85
+00:05:35,230 --> 00:05:38,850
+معالجها طبعا وبهك كل مرحلة لحد ما بصل لوين في
+
+86
+00:05:38,850 --> 00:05:43,810
+الآخر أن ال data هذه مناسبة أصبحت صحيحة لل task
+
+87
+00:05:43,810 --> 00:05:49,090
+اللي أنا بدي أشغل فيها وبالتاليهذا بيقول إن الناس
+
+88
+00:05:49,090 --> 00:05:51,390
+اللي بدأت تشتغل في ال data science أو في ال data
+
+89
+00:05:51,390 --> 00:05:53,750
+preparation أو ال data preprocessing أو ال data
+
+90
+00:05:53,750 --> 00:05:58,530
+wrangling لازم يتمتع بمجموعة من الصفات اللي لها
+
+91
+00:05:58,530 --> 00:06:02,530
+علاقة بالإحصاء على سبيل المثال ليش؟ لأن أنت بدك
+
+92
+00:06:02,530 --> 00:06:07,910
+تتعرف على البيانات بدك
+
+93
+00:06:07,910 --> 00:06:11,890
+skills زي ما قلنا سابقة multidisciplinary
+
+94
+00:06:13,700 --> 00:06:16,320
+الcourse تبع ال data mining بدك statistic بدك
+
+95
+00:06:16,320 --> 00:06:19,240
+database بدك programming وكل ال skills هذه بتخدمك
+
+96
+00:06:19,240 --> 00:06:27,500
+في موضوع ال preparation بالدرجة الأولى طيب
+
+97
+00:06:27,500 --> 00:06:31,160
+بما أنه احنا حاليا هيلزمنا شغل و نقول programming
+
+98
+00:06:31,160 --> 00:06:35,760
+و نتكلم على pipeline بال بايثون قلتلك انا بحطتلك
+
+99
+00:06:35,760 --> 00:06:40,270
+روابط تنزل الاناكندا مين نزلها شباب جهازه؟واحد
+
+100
+00:06:40,270 --> 00:06:44,570
+اتنين تلاتة اربعة خمسة ستة سبعة تمانية تسعة انتوا
+
+101
+00:06:44,570 --> 00:06:49,730
+ملاحظينوا يا شباب ان المادة مافيش فيها معمل نزل ال
+
+102
+00:06:49,730 --> 00:06:52,330
+python anaconda distribution او ال spider anaconda
+
+103
+00:06:52,330 --> 00:06:55,230
+distribution على جهازك عشان تبدأ تشتغل ليش انا
+
+104
+00:06:55,230 --> 00:06:59,130
+قلتلك نزله هيريحك من كل المكتبات وينزلكيها حزمة
+
+105
+00:06:59,130 --> 00:07:04,380
+واحدة بينما لو بدك تشتغل بالpy charmهتضطر تنزل ال
+
+106
+00:07:04,380 --> 00:07:07,500
+libraries واحدة ورا التانية فانت رايح راسك واشخل
+
+107
+00:07:07,500 --> 00:07:10,320
+على ال distribution جاهزة بتريحك على الأقل في
+
+108
+00:07:10,320 --> 00:07:11,360
+موضوع ال installation
+
+109
+00:07:15,990 --> 00:07:19,870
+هي IDE شاملة المكتبات كلها تبع ال data science
+
+110
+00:07:19,870 --> 00:07:22,870
+وبالتالي بدل ما انا اروح احول ال IDE تبع ال by
+
+111
+00:07:22,870 --> 00:07:26,270
+charm تمام عشان يسموها data science distribution
+
+112
+00:07:26,270 --> 00:07:30,150
+أحيان بسموها الآن بدل ما اروح انا نزل المكتبات
+
+113
+00:07:30,150 --> 00:07:33,150
+واحدة ورا التانية هو كل المكتبات جاهزة ضمن ال
+
+114
+00:07:33,150 --> 00:07:35,390
+setup file اللي بنزل وبالتالي مش هعمل download من
+
+115
+00:07:35,390 --> 00:07:40,040
+ال internet لأي شيء الآنطبعا المهم اذا ما اقول ان
+
+116
+00:07:40,040 --> 00:07:43,020
+احنا ممكن نستخدم الـ Python و هذه كلغة برمجة مهمة
+
+117
+00:07:43,020 --> 00:07:46,200
+جدا ليش مع ال Java؟ مابديش Java ال support إلها
+
+118
+00:07:46,200 --> 00:07:50,860
+أكثر و هنشوف الآن بعض الشغلات فعليا أسهل مليون مرة
+
+119
+00:07:50,860 --> 00:07:55,060
+ماكنت أنا بدي أشتغلها وين؟ بال Java و هديك مثال
+
+120
+00:07:55,060 --> 00:07:59,300
+الآن مثال بسيط جدا المكتبات اللي بتلزمني في ال
+
+121
+00:07:59,300 --> 00:08:01,520
+Python إذا أنا بدي أشتغل على ال PyChart معناته
+
+122
+00:08:01,520 --> 00:08:06,270
+ملزمني ال non-pyالـ numerical arrays في الـ Python
+
+123
+00:08:06,270 --> 00:08:09,710
+و بالزمن البانداز اللي هي عبارة عن data framework
+
+124
+00:08:09,710 --> 00:08:13,510
+من أجل أن أعمل store و retrieve لل data و أطبق
+
+125
+00:08:13,510 --> 00:08:16,370
+عليها بعض ال method الجاهزة اللي لها علاقة في ال
+
+126
+00:08:16,370 --> 00:08:20,710
+preparation من الشغلات البسيطة اللي ممكن تكون
+
+127
+00:08:20,710 --> 00:08:24,350
+motivation كويسة بالنسبة لنا جميعا كيف التعامل مع
+
+128
+00:08:24,350 --> 00:08:27,970
+ال python لو أنا أجيت قلتلك في عندي two
+
+129
+00:08:27,970 --> 00:08:29,050
+dimensional array
+
+130
+00:08:36,150 --> 00:08:41,450
+تلاتة في تلاتة و بدي منها تاخدلي الصف أو العمود
+
+131
+00:08:41,450 --> 00:08:47,870
+الأخير لحاله ك one dimensional array ايش ال code
+
+132
+00:08:47,870 --> 00:08:51,990
+اللي ممكن تكتبه بيه جافر؟ بتروح اعرف ال array one
+
+133
+00:08:51,990 --> 00:08:58,250
+dimensional هقولله integer ال array تبعتي A مثلا و
+
+134
+00:08:58,250 --> 00:09:02,690
+قوللي يا أخي إن هاد اسمها X بدها تساوي new integer
+
+135
+00:09:04,860 --> 00:09:09,880
+تلاتة صح؟ بعدين هروح أقوله four integer I equal
+
+136
+00:09:09,880 --> 00:09:18,160
+zero ال I أقل أو تساوي اتنين I plus plus A of I
+
+137
+00:09:18,160 --> 00:09:30,640
+equal X of اتنين ايه؟ قداشها دي؟ I اتنين مصبوط؟
+
+138
+00:09:35,500 --> 00:09:42,740
+بال بايثون بكل بساطة باجي بقوله a تساوي x
+
+139
+00:09:42,740 --> 00:09:51,000
+او
+
+140
+00:09:51,000 --> 00:09:55,660
+حتى ممكن هذا مكتوب هاش هيك بس يبقى فاق نل لا four
+
+141
+00:09:55,660 --> 00:10:00,720
+ولا حاجة الفكرة وين يا شباب انه فعليا من ناحية
+
+142
+00:10:00,720 --> 00:10:06,620
+simplicityفعلي أسهل وهي فرصة .. فرصة إلك تتعلم لغة
+
+143
+00:10:06,620 --> 00:10:10,080
+جديدة ال four هي ال four و ال F هي ال F نفس ال
+
+144
+00:10:10,080 --> 00:10:12,560
+concept بس ال syntax هو شويه اللي هيخلف .. يخلف
+
+145
+00:10:12,560 --> 00:10:15,060
+معاك الآن هاد الآن في الشغلات اللي زي هاي ال
+
+146
+00:10:15,060 --> 00:10:20,080
+python بتريحك جدا في الكتابة هاي هاد التلت أسطر هي
+
+147
+00:10:20,080 --> 00:10:24,120
+عبارة عن نص سطر فعليا لا أنا محدد يعرف data type
+
+148
+00:10:24,120 --> 00:10:27,280
+ولا أنا محدد يعرف ال four بس اللي بلزمني أحدد
+
+149
+00:10:27,280 --> 00:10:31,400
+أبعاد العمود اللي أنا بدياه و لحاله بيشتغل الشغلة
+
+150
+00:10:31,400 --> 00:10:36,140
+التانيةممكن انا الان هل في مجال يكون في عندي
+
+151
+00:10:36,140 --> 00:10:41,520
+تسميات لل
+
+152
+00:10:41,520 --> 00:10:45,660
+attributes اللي موجودة عندي لأ مافيش مجال مع ال
+
+153
+00:10:45,660 --> 00:10:49,040
+band as بصير في مجال اضيف تسمية لل array او لل
+
+154
+00:10:49,040 --> 00:10:56,000
+data set و بصير بروح بقوله ان ال A equal X of T
+
+155
+00:10:56,000 --> 00:11:01,240
+ثلاثة و خلصت وبالتالي فيها شغل اسهل كتير من ال
+
+156
+00:11:01,240 --> 00:11:06,990
+Javaوغيرها ايه؟ هنشوف بعض الأكواد اللي برضه بسهولة
+
+157
+00:11:06,990 --> 00:11:09,970
+اللي هنفهمها برضه خلال المحاضرة هاي ان شاء الله
+
+158
+00:11:09,970 --> 00:11:14,530
+تعالى طيب ننتقل مع طريق ال libraries اللي في
+
+159
+00:11:14,530 --> 00:11:16,630
+عينينا بتلزمنا في ال data preparation بالدرجة
+
+160
+00:11:16,630 --> 00:11:19,390
+الأولى تعالى أخد مثال بسيط في ال code اللي موجود
+
+161
+00:11:19,390 --> 00:11:23,770
+قدامنا ال code اللي موجود قدامنا عمل import لل
+
+162
+00:11:23,770 --> 00:11:27,670
+bandits وروح
+
+163
+00:11:27,670 --> 00:11:32,430
+تعرف ال bandits هي عبارة عن data frameworkللتعامل
+
+164
+00:11:32,430 --> 00:11:36,010
+واحدة من الاقتراحات تبعتها ان انا ممكن انشئ جدول
+
+165
+00:11:36,010 --> 00:11:40,570
+جديد انشئ جدول جديد فروح قلت له البانداس دوت data
+
+166
+00:11:40,570 --> 00:11:45,310
+framework وزودت ال data framework ال constructor ب
+
+167
+00:11:45,310 --> 00:11:46,770
+.. بإيش يا شباب
+
+168
+00:11:46,770 --> 00:11:51,170
+جييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييي
+
+169
+00:11:57,690 --> 00:12:01,630
+الريه ال value تبعته تمام ال index هي optional
+
+170
+00:12:01,630 --> 00:12:05,630
+بالنسبة إلينا بنضيفها بعد ال json عشان أقوله والله
+
+171
+00:12:05,630 --> 00:12:07,870
+فعلا هي ال items أو هي ال index اللي أنا بدي أشتغل
+
+172
+00:12:07,870 --> 00:12:14,270
+معاها بغض النظر حتفرج كتير الآن لو أنا أقول
+
+173
+00:12:14,270 --> 00:12:17,590
+dictionary كام واحد هيقول okay معاك موافق معاك بس
+
+174
+00:12:17,590 --> 00:12:20,990
+بالمناسبة dictionary لأن فقط في عندي two values Q
+
+175
+00:12:20,990 --> 00:12:26,080
+value فقط لما يكون في عندي أكتر من valueتمام؟ طبعا
+
+176
+00:12:26,080 --> 00:12:30,640
+ال array كلها as single value anyway في الآخر
+
+177
+00:12:30,640 --> 00:12:33,660
+روحته انا بقوله اطبعلي ال data framework هذا
+
+178
+00:12:33,660 --> 00:12:37,360
+فهيطبعلي يا شباب الشكل اللي قدامك هاي زي ما بظهر
+
+179
+00:12:37,360 --> 00:12:43,140
+على ال console لاحظ؟ لو انا بدي اطبع في مجلة ..
+
+180
+00:12:43,140 --> 00:12:44,940
+هذا كان بيعمله بال Java عبارة عن ايه؟ شرعي ما
+
+181
+00:12:44,940 --> 00:12:49,830
+حيكون array of objects مصبوط؟وبدي loops وبدي كده
+
+182
+00:12:49,830 --> 00:12:53,570
+ودي ربالك اخد ال method فحتى داخلي دوامة مختلفة
+
+183
+00:12:53,570 --> 00:12:56,490
+تماما فهي ال framework من ناحية إنشاء data طبعا ال
+
+184
+00:12:56,490 --> 00:13:00,590
+task تبع إنشاء ال data مش مهم مش مش إلك الآن ليش؟
+
+185
+00:13:00,590 --> 00:13:05,530
+لأن ال data set يا أستاذ تامر موجودة وخالصة ال
+
+186
+00:13:05,530 --> 00:13:07,930
+data set موجودة وخالصة طبعا إيش المطلوب مني؟
+
+187
+00:13:07,930 --> 00:13:13,010
+المطلوب مني أقرأها في موضوع قرايتها مجرد أروح
+
+188
+00:13:13,010 --> 00:13:17,490
+أستخدم ال pandas أقوله readcsv او read excel file
+
+189
+00:13:17,490 --> 00:13:22,010
+حسب ال file الموجودة فيه ال data بيقرأ ال data set
+
+190
+00:13:22,010 --> 00:13:25,890
+مباشرة و ببني لك data framework كامل عليها و هيك
+
+191
+00:13:25,890 --> 00:13:28,930
+برضه بتكون التعامل معاها سهل تعالى نشوف بس ال code
+
+192
+00:13:28,930 --> 00:13:32,090
+هذا بشكل سريع إيش بساوي الآن في عند ال print خلاص
+
+193
+00:13:32,090 --> 00:13:36,290
+أصبحت معروفة ال head ال data set dot head أو ال
+
+194
+00:13:36,290 --> 00:13:40,070
+tail ال head بتجيب أول خمس صفوف عينة أول صفوف
+
+195
+00:13:40,070 --> 00:13:44,620
+الخمسة و ال tail بتجيب أخر خمسة في عندالـ Data
+
+196
+00:13:44,620 --> 00:13:48,420
+Type أو الـ D-Type اللي بتجيب الـ Structure تبعتها
+
+197
+00:13:48,420 --> 00:13:51,740
+إيه في الـ Attribute وإيش الـ Type تبعت كل واحد
+
+198
+00:13:51,740 --> 00:13:56,200
+فيهم وطبعا هذه مجرد أنت عشان تكون عندك صورة واضحة
+
+199
+00:13:56,200 --> 00:14:00,420
+عن الـ Data Set اللي بتشتغل عليها إذا أنا قلتله
+
+200
+00:14:00,420 --> 00:14:04,320
+Shape تخيل إن الـ Attribute عندي أهمام أو الـ Data
+
+201
+00:14:04,320 --> 00:14:09,400
+Set تبعتي بتتكلم على 100 ألف record تمام؟ و 15
+
+202
+00:14:09,400 --> 00:14:10,380
+Attribute
+
+203
+00:14:17,720 --> 00:14:23,220
+لما أروح أقوله shape هيطبع .. لأ لأ مش هيرسم هيطبع
+
+204
+00:14:23,220 --> 00:14:30,940
+الـ 100000 كما 15 لإن
+
+205
+00:14:30,940 --> 00:14:34,480
+طبعتها و يعمل scrolling عليهم أو كده لأ كلمة ال
+
+206
+00:14:34,480 --> 00:14:37,140
+shape جيبلي العدد لو أنا قلتله number of
+
+207
+00:14:37,140 --> 00:14:41,920
+dimensions and them number of dimensions هيقولي
+
+208
+00:14:41,920 --> 00:14:44,980
+اتنين ليش لإن ال data تبعتي الآن في ال data
+
+209
+00:14:44,980 --> 00:14:49,290
+framework تبعي بعدين الصفوفوالأعمدة اللي موجودة
+
+210
+00:14:49,290 --> 00:14:54,370
+عندها الان في عندى method اسمها columns إذا ال
+
+211
+00:14:54,370 --> 00:14:58,410
+data set اللي أنا قرأتها ال data file أو أول ثقر
+
+212
+00:14:58,410 --> 00:15:03,230
+فيها عبارة عن ال attribute names أو ال titles تمام
+
+213
+00:15:03,230 --> 00:15:06,530
+في عندى ال method اسمها الاسمها ال columns بترجعلي
+
+214
+00:15:06,530 --> 00:15:09,430
+فيهم لوحدهم و بصير فيها دول عبارة عن data set
+
+215
+00:15:09,430 --> 00:15:14,650
+مستقلة موجودة عندها بعد هي كانتبتريحني من موضوع ال
+
+216
+00:15:14,650 --> 00:15:17,810
+description وال statistical method لو أنا روحت على
+
+217
+00:15:17,810 --> 00:15:21,070
+certain attribute وقلتله dot describe
+
+218
+00:15:24,230 --> 00:15:28,010
+بروح بدي اعمل complete statistical test على ال
+
+219
+00:15:28,010 --> 00:15:31,090
+attribute هذا ال minimum و ال maximum و ال average
+
+220
+00:15:31,090 --> 00:15:34,390
+و العدد الفرغات و ال data types بتجيبلي شغلات
+
+221
+00:15:34,390 --> 00:15:37,750
+كبيرة بتوصف ال data ال attribute هذا و هذا برضه
+
+222
+00:15:37,750 --> 00:15:40,710
+مهم بالنسبة ليه عشان انا اذا عرفت ال minimum و ال
+
+223
+00:15:40,710 --> 00:15:43,150
+maximum و جديش عدد الفرغات بصير عارف ان انا بدي
+
+224
+00:15:43,150 --> 00:15:47,810
+اشتغل طبعا بإمكانك تعمل loop تمر على ال titles
+
+225
+00:15:47,810 --> 00:15:50,590
+اللي هنا و تعمل description بشكل بدأ ما تكتب كل
+
+226
+00:15:50,590 --> 00:15:55,970
+واحد بشكل تلقائي طيبهذا الكلام او هذه ال slides ما
+
+227
+00:15:55,970 --> 00:15:59,430
+جبتهم الا غير من باب ال motivation لإلك ان ال
+
+228
+00:15:59,430 --> 00:16:03,490
+python سهل و ممكن تعملها او تحتويها تعملها concord
+
+229
+00:16:03,490 --> 00:16:11,110
+ده او تحتويها بشكل كويس خلال الفصل هذا ال rapid
+
+230
+00:16:11,110 --> 00:16:15,290
+minor خيار هنشوفه هنشتغل عليه لكن انا بالنسبة لي
+
+231
+00:16:15,290 --> 00:16:21,530
+قد اعطي plus للي هيشتغل ال python وللي مش هيشتغل
+
+232
+00:16:21,530 --> 00:16:22,490
+ال python هياخد minus
+
+233
+00:16:40,350 --> 00:16:47,070
+ممكن تحتوي على بعض ال missing ال inconsistent و ال
+
+234
+00:16:47,070 --> 00:16:53,990
+noise data الان يا هب noise data شو يعني؟اخدناها
+
+235
+00:16:53,990 --> 00:17:00,310
+سابقا اكتب اسمك هنا و سجل جوابتنا ولا لأ نقشه يعني
+
+236
+00:17:00,310 --> 00:17:05,310
+noise data يعني data فيها أشياء ممكن ماتفيدنيش أو
+
+237
+00:17:05,310 --> 00:17:08,950
+فيها أشياء خاطئ فيها أشياء خاطئ صح بس فيها data
+
+238
+00:17:08,950 --> 00:17:14,490
+ماتفيدنيش مش صح اكتب اسمك عفواتمام؟ الآن noise
+
+239
+00:17:14,490 --> 00:17:17,690
+data يعني لو أنا فيه عندي قيم أو فيه عندي أخطاء في
+
+240
+00:17:17,690 --> 00:17:24,170
+القيم المدخلة مثل الراتب بالسالب تمام؟ طيب عبدالله
+
+241
+00:17:24,170 --> 00:17:27,430
+صحي محمد الكحلوت من جنبك وقول لي شو يعني
+
+242
+00:17:27,430 --> 00:17:35,070
+inconsistent data؟ مش عارف لأنك مابتراجعش لأ بديش
+
+243
+00:17:35,070 --> 00:17:38,450
+إياك أنت يا تامر آه يوسف شو يعني inconsistent
+
+244
+00:17:38,450 --> 00:17:39,230
+data؟
+
+245
+00:17:42,500 --> 00:17:55,180
+محمود أبو حية محمود صح محمد أبو حية محمود
+
+246
+00:17:55,180 --> 00:17:56,740
+أبو حية محمود أبو حية محمود أبو حية محمود أبو حية
+
+247
+00:17:56,740 --> 00:17:59,980
+محمود أبو حية محمود أبو حية محمود أبو حية محمود
+
+248
+00:17:59,980 --> 00:18:02,800
+أبو حية محمود أبو حية محمود أبو حية محمود أبو حية
+
+249
+00:18:02,800 --> 00:18:09,800
+محمود أبو حية محمود أبو حية محمود أبو حيةمثلًا،
+
+250
+00:18:09,800 --> 00:18:13,060
+تاريخ ميلاده مبارح هو في الـ Age مكتوب لـ 40 سنة
+
+251
+00:18:13,060 --> 00:18:17,840
+تمام؟ Missing Data هذه كلكم هتجاوبوها طبعًا، فضل
+
+252
+00:18:17,840 --> 00:18:21,260
+Data مفقودة، إنه فعليًا الـAttribute هذا في
+
+253
+00:18:21,260 --> 00:18:24,080
+الـRecord هذا الـValue تبعته فاضية، مش موجودة عندي
+
+254
+00:18:24,080 --> 00:18:27,400
+وبالتالي، أنا لازم هدأ أقولنا سابقًا كان عندنا
+
+255
+00:18:27,400 --> 00:18:31,060
+مصطلح Garbage In، Garbage Out وبالتالي الـData
+
+256
+00:18:31,060 --> 00:18:35,980
+Quality شيء أساسي في الـData Miningجودة البيانات
+
+257
+00:18:35,980 --> 00:18:39,960
+شيء أساسي في الـ Data Mining وبالتالي، إذا أنت
+
+258
+00:18:39,960 --> 00:18:44,060
+فعليًا بدأت تشتغل وجد في الموضوع الـ Data
+
+259
+00:18:44,060 --> 00:18:47,500
+Preparation عبارة عن خطوة مهمة للـ Serious والـ
+
+260
+00:18:47,500 --> 00:18:53,920
+Effective والـ Real Data Mining Process إيش علامات
+
+261
+00:18:53,920 --> 00:19:00,040
+جودة .. علامات جودة الـ Data Set اللي موجودة عندى؟
+
+262
+00:19:00,040 --> 00:19:05,430
+تقريبًا هي نفس الأسئلة اللي كنا بنطرحهاسابقا عشان
+
+263
+00:19:05,430 --> 00:19:10,010
+تصحيح ال data ال accuracy جداش ال data تبعتي هذه
+
+264
+00:19:10,010 --> 00:19:18,330
+دقيقة جداش ال data تبعتي صحيحة هي فكل
+
+265
+00:19:18,330 --> 00:19:22,290
+ما كانت نسبة دقتها أعلى كل ما كانت هذه أفضل طبعا
+
+266
+00:19:22,290 --> 00:19:30,380
+مصدرها مصدرها يعني بين جسينانت الآن ال data اللي
+
+267
+00:19:30,380 --> 00:19:34,060
+فيها ال values انت بتقدر تتحقق من كل record Raw by
+
+268
+00:19:34,060 --> 00:19:38,920
+Raw؟ أكيد لأ، لكن لما أنا باعرف أن ال data set هاي
+
+269
+00:19:38,920 --> 00:19:45,080
+طالعة مثلا من ال MIT على رأي رامي، تمام؟ ولا طالعة
+
+270
+00:19:45,080 --> 00:19:47,620
+من جامعة إياد الشامي، لأ أكيد اللي طالع من ال MIT،
+
+271
+00:19:47,620 --> 00:19:53,060
+من ال MIT، مصبوط؟ شكرا، شكرا على الثقة يا هاشم،
+
+272
+00:19:53,060 --> 00:19:58,100
+الآن الفكرة وين يا جماعة الخير؟الفكرة أنه مش كمان
+
+273
+00:19:58,100 --> 00:20:02,040
+شوف ال source اللي هي ال believability جداش أنا
+
+274
+00:20:02,040 --> 00:20:07,420
+بواثق فيها في مصدرها لكن الآن بتكلم على جودة
+
+275
+00:20:07,420 --> 00:20:12,620
+البيانات جودة البيانات عادة مش أنا صاحبها ال data
+
+276
+00:20:12,620 --> 00:20:16,440
+لما انجمعت كانت صحيحة لما انجمعت اه صح بأثق في
+
+277
+00:20:16,440 --> 00:20:21,580
+المصدر لكن جداش ممكن المصدر هذا يخطئ في الإدخال
+
+278
+00:20:22,050 --> 00:20:25,250
+جدّاش ال instrument اللي كنت انا بعتمد عليها في
+
+279
+00:20:25,250 --> 00:20:29,730
+القراءات دقيقة بلاش نتكلم على مصدرها انا والله
+
+280
+00:20:29,730 --> 00:20:32,770
+واثق ان اللي حاجيني من ال MIT تمام لكن كانوا
+
+281
+00:20:32,770 --> 00:20:38,310
+مسترخصين وماخدين بعض ال sensors من Taiwan بينما في
+
+282
+00:20:38,310 --> 00:20:42,270
+sensors وضحها افضل وبالتالي ال data set اللي بيصير
+
+283
+00:20:42,270 --> 00:20:47,430
+فيها علامة استفهام لأن بعض ال equipments تبعتها في
+
+284
+00:20:47,430 --> 00:20:51,170
+ال range تبعت ال error تبعتها عاليةفهذه المقصودة
+
+285
+00:20:51,170 --> 00:20:56,850
+بالـ Accuracy على خلاف الـ Believability جديش أنا
+
+286
+00:20:56,850 --> 00:21:00,890
+واثق من مصدر البيانات و في البيانات اللي موجودة
+
+287
+00:21:00,890 --> 00:21:05,450
+عندي هيت لاحظ كمان مرة أنا ما زلت بأتكلم على عوامل
+
+288
+00:21:05,450 --> 00:21:09,630
+انه كيف بدي أو بدي أحاول أشك .. كيف بدي أقيس جودة
+
+289
+00:21:09,630 --> 00:21:13,230
+أو إيش هي علامات جودة ال data set يعني لو قلنا لك
+
+290
+00:21:13,230 --> 00:21:17,710
+في تفاحة و قلنا شو رأيك فيها جودة التفاحة هاي جديش
+
+291
+00:21:17,710 --> 00:21:21,510
+عبداللههي عبد الله، أيوة عبد الله، بناء على إيش؟
+
+292
+00:21:21,510 --> 00:21:26,650
+بطلع فيها، الله التفاحة مبينة، جديدة وطازة وبتلمع،
+
+293
+00:21:26,650 --> 00:21:30,830
+تمام؟ هاي واحد، ريحتها فواحة، مافيش فيها لا ضرب
+
+294
+00:21:30,830 --> 00:21:35,730
+يمين ولا شمال، ولا محمد عضها، مصبوط؟ وبالآخر، في
+
+295
+00:21:35,730 --> 00:21:40,950
+الآخر هاي العلامات، أنت بعينك بتقدر تحددها، طيب،
+
+296
+00:21:40,950 --> 00:21:47,270
+الآن completeness، جداش ال data هايكاملة وبحيث
+
+297
+00:21:47,270 --> 00:21:50,590
+انها توافق ال task اللي انا بدي اياها وسألنا سابقا
+
+298
+00:21:50,590 --> 00:21:54,230
+على ال different sources و ال relevant و من ال
+
+299
+00:21:54,230 --> 00:21:58,170
+expert ليش؟ عشان انا اكون متأكد ان ال data ال 6
+
+300
+00:21:58,170 --> 00:22:02,810
+باعتى هاي فعليا بتنجز consistent ال consistency
+
+301
+00:22:02,810 --> 00:22:07,150
+جداش ال data هاي consistent ما هو يعني لما اتكلمنا
+
+302
+00:22:07,150 --> 00:22:10,050
+في ال consistency انه ما هو المفهوم ان اعدل في
+
+303
+00:22:10,050 --> 00:22:14,430
+مكانومقنوط من التعديل في مكان تاني بس ماعدلتش فيه
+
+304
+00:22:14,430 --> 00:22:17,030
+فبتصير inconsistent values الموجودة اللي عندي
+
+305
+00:22:17,030 --> 00:22:21,770
+timeline is .. هاي شغلة مهمة يا جماعة الخير عشان
+
+306
+00:22:21,770 --> 00:22:24,650
+يقوللي ان ال data .. ال data set اللي موجودة عندي
+
+307
+00:22:24,650 --> 00:22:28,110
+هل بتحل المشكلة اللي أنا بتشتغل عليه ولا لأ؟ يعني
+
+308
+00:22:28,110 --> 00:22:33,810
+أنا بدي أحاول أعمل prediction ما هو إذا حطيت ال
+
+309
+00:22:33,810 --> 00:22:37,210
+mail معناته هتصير أنك عندك .. في عندك مشكلة في ال
+
+310
+00:22:37,210 --> 00:22:41,440
+consistencyمصبوط؟ لأ خلّينا .. احنا عمّالا بدنا
+
+311
+00:22:41,440 --> 00:22:45,780
+نصلح مش اللي بنخبص تمام؟ وبالتالي ال data must be
+
+312
+00:22:45,780 --> 00:22:54,440
+inferred إيش الحلول المتاحة قدامي في التعامل مع ال
+
+313
+00:22:54,440 --> 00:22:59,080
+missing data؟ الآن ال missing سواء كانت في one
+
+314
+00:22:59,080 --> 00:23:05,220
+value أو في two values في ال record تمام؟ في الآخر
+
+315
+00:23:05,220 --> 00:23:09,560
+ال record هذا فيه missingلكن سؤال مهم جدا، هل ممكن
+
+316
+00:23:09,560 --> 00:23:14,980
+كل ال record يكون missing؟ بكونش موجود أساساً،
+
+317
+00:23:14,980 --> 00:23:18,220
+فعلى الأقل ال record بيكون فيه one value والباقي
+
+318
+00:23:18,220 --> 00:23:22,200
+ممكن يكون null، مصبوط، حسب المصدر ففي الآخر، بغض
+
+319
+00:23:22,200 --> 00:23:25,120
+النظر، كان في عنده one value، one missing value or
+
+320
+00:23:25,120 --> 00:23:28,400
+more فهذا ال record بيحتوي على missing أو هذا ال
+
+321
+00:23:28,400 --> 00:23:34,520
+attribute الآن صار بيحتوي على missing أسلم حلإن
+
+322
+00:23:34,520 --> 00:23:39,040
+أحذف الـ rows اللي بتحتوي على ال missing و أريح حل
+
+323
+00:23:39,040 --> 00:23:43,100
+تمام
+
+324
+00:23:43,100 --> 00:23:47,680
+عشان أنا بدي أحط حلول صحيحة و بدي أجيب value صحيحة
+
+325
+00:23:47,680 --> 00:23:53,680
+عشان أحصل الحل صح أو عفوا أصلح حل صح الآن لو كانت
+
+326
+00:23:53,680 --> 00:24:01,080
+ال data 6 اللي عندي 100 ألف row وبعد عملية الحذف
+
+327
+00:24:02,200 --> 00:24:08,920
+بعد عملية الحدث صارت اللي هي 95 ألف raw أنا
+
+328
+00:24:08,920 --> 00:24:12,940
+بالنسبة لي مش فارق كبير مش big deal مش زعلان كتير
+
+329
+00:24:12,940 --> 00:24:19,920
+أقولك لو صارت 50 ألف برضه بالنسبة لي مش كتير لأن
+
+330
+00:24:19,920 --> 00:24:24,160
+ال data لسه still enough يعني فيها كم .. لأ بقى
+
+331
+00:24:24,160 --> 00:24:27,180
+ممكن أستخرج منه لكن لو ضاليت حافظ على ال 100 ألف
+
+332
+00:24:27,180 --> 00:24:27,880
+أحسن وأحسن
+
+333
+00:24:31,060 --> 00:24:35,300
+لأن احنا اتكلمنا سابقا how much big is your data؟
+
+334
+00:24:35,300 --> 00:24:39,400
+كده حجم البيانات اللي عندك؟ لأن كل raw بمثابة
+
+335
+00:24:39,400 --> 00:24:42,960
+تعزيز لل pattern أو تعزيز لل knowledge اللي انا
+
+336
+00:24:42,960 --> 00:24:48,800
+بدأ استخرجها لكن في المقابل اللي كانوا عندي الف
+
+337
+00:24:48,800 --> 00:24:57,560
+record صاروا تسعمية و خمسين acceptable لكن صاروا
+
+338
+00:24:57,560 --> 00:25:05,430
+خمسمية لا يعني وقفعلى الرغم ان هد نص و هد نص 50
+
+339
+00:25:05,430 --> 00:25:11,590
+ألف نص 50% بس العدد بيفرج معايا 500 رو is not
+
+340
+00:25:11,590 --> 00:25:15,430
+enough to train or to build a model في معظم
+
+341
+00:25:15,430 --> 00:25:22,010
+الأحيان طب مش الحل بدك تجيب data set تاني لو
+
+342
+00:25:22,010 --> 00:25:26,600
+متوفرة طب مش متوفرة عند غير الألف هدولبدي أبدأ
+
+343
+00:25:26,600 --> 00:25:31,500
+أعبي ال missing data بدي أبدأ أعبي ال missing data
+
+344
+00:25:31,500 --> 00:25:37,640
+اللي موجودة عندهم كيف بدي أعبيها؟ manually بشكل
+
+345
+00:25:37,640 --> 00:25:41,840
+manual يعني بدي أمر على كل row أو كل عمود row by
+
+346
+00:25:41,840 --> 00:25:47,660
+row و أعبي ال value اللي فيه ممكن
+
+347
+00:25:47,660 --> 00:25:53,260
+شباب ال manual filling لا يعني بالضرورة ان انا 100
+
+348
+00:25:53,260 --> 00:25:58,870
+% صحتمام؟ انا حارجة لما بدي اتكلم على ال manual
+
+349
+00:25:58,870 --> 00:26:02,090
+filling بدي اروح اقوله دين ال document الأصلية
+
+350
+00:26:02,090 --> 00:26:05,570
+تبعتك اللي اعتمدتها او وين ممكن الاجي القيمة هذه
+
+351
+00:26:05,570 --> 00:26:11,700
+ففي جهود لكن مش .. و لو انا رجعت لل guessingفي
+
+352
+00:26:11,700 --> 00:26:15,280
+موضوع الـ Gessing الأصل يكون .. يعني لما بدي أخمن
+
+353
+00:26:15,280 --> 00:26:17,560
+بدي هتكون ال value تبقى .. بدي تكون فيه confident
+
+354
+00:26:17,560 --> 00:26:22,440
+يعني لما قلنا قبل شوية متزوج أو ال status ال
+
+355
+00:26:22,440 --> 00:26:26,160
+marital status متزوج married و فيه pregnant و
+
+356
+00:26:26,160 --> 00:26:30,020
+مفقود عند ال gender مافهمش .. مافيش عاجلين اتنين
+
+357
+00:26:30,020 --> 00:26:34,050
+بيختلفوا على إن هو دي femaleمصبوط؟ وبالتالي هذا
+
+358
+00:26:34,050 --> 00:26:37,570
+الكلام في هذه الشغلات بيصير ال guessing محمود الآن
+
+359
+00:26:37,570 --> 00:26:42,970
+باجب أقول أن والله الطلاب اللي موجودين عندى في
+
+360
+00:26:42,970 --> 00:26:49,410
+المدرسة أعمارهم تتراوح من عشرة لتلات عشر سنة ولاجي
+
+361
+00:26:49,410 --> 00:26:54,690
+الطالب عمره مش موجود و تاريخ ميلاده مش ملاجيه لو
+
+362
+00:26:54,690 --> 00:26:59,190
+حذفته تمام؟ احنا الآن خلصنا من موضوع الحذف بدي أخل
+
+363
+00:26:59,190 --> 00:27:05,220
+ال dataبدي أخل ال data، إيش عبيها؟ لو حطيتها 12
+
+364
+00:27:05,220 --> 00:27:09,360
+بالمتوسط، بيمشي الحال، أثبت؟ هاي ال guessing ممكن
+
+365
+00:27:09,360 --> 00:27:13,980
+لو أنا شوفت عمر الولد أو أروح أسأله فلان، أنت في
+
+366
+00:27:13,980 --> 00:27:17,760
+أي صف؟ طلع فيك هيكد، جالك في صف سادس
+
+367
+00:27:20,950 --> 00:27:24,330
+ماشي، مصبوط ولا لأ؟ إذا أنت حاسيته أنه والله ممكن
+
+368
+00:27:24,330 --> 00:27:28,650
+تطالب هذا يكون مثلا أعاد سنة أو تنتين فممكن تحطه
+
+369
+00:27:28,650 --> 00:27:31,730
+في بناء .. خلاص بتصير happy guessing محمود و هذا
+
+370
+00:27:31,730 --> 00:27:36,250
+الكلام يصير تمام لكن
+
+371
+00:27:36,250 --> 00:27:41,030
+عملية التعبئة ال manual أو التعبئة اليدوية للقيم
+
+372
+00:27:41,030 --> 00:27:53,290
+المفقودة مملة و غير مشدية، خلّيها هيليش غير مشدية؟
+
+373
+00:27:53,290 --> 00:27:58,410
+لأنه ما أكلفك مقارنة بالجهد اللي هيصير مش مشدية
+
+374
+00:27:58,410 --> 00:28:05,070
+كتير automatic برمجيا برمجيا الخيارات اللي قدامي
+
+375
+00:28:05,070 --> 00:28:09,490
+أن أروح على كل ال missing و أحط فيها global
+
+376
+00:28:09,490 --> 00:28:16,130
+constant شو يعني global constant؟ أي رمز بحيث أن
+
+377
+00:28:16,130 --> 00:28:17,290
+الرمز هذي يصير unknown
+
+378
+00:28:20,640 --> 00:28:24,720
+بعرف إنها missing وفي نفس الوجد لو بدوا ينبنى
+
+379
+00:28:24,720 --> 00:28:29,360
+عليها decision لاحقا في حالة ال unknown بيكون كذا
+
+380
+00:28:29,360 --> 00:28:36,140
+على سبيل المثال if كذا else if كذا else if كذا طب
+
+381
+00:28:36,140 --> 00:28:40,580
+ال else الأخيرة لو ما كانت ولا واحدة من هدول في
+
+382
+00:28:40,580 --> 00:28:44,620
+حالة ال switch case case case كذا في الآخر بحطله
+
+383
+00:28:44,620 --> 00:28:47,900
+default لو ماكنتش ولا واحدة من هدول بصير بقوله أنا
+
+384
+00:28:47,900 --> 00:28:53,830
+في حالة ال unknown ممكن أخد decisionتمام؟ هذه ميزة
+
+385
+00:28:53,830 --> 00:29:00,630
+أو أهمية للجلوبال constant لكنه مش مفضل برضه ليش؟
+
+386
+00:29:00,630 --> 00:29:03,910
+لأن كل ما كانت ال rule تبعتي مبنية على fixed value
+
+387
+00:29:03,910 --> 00:29:08,970
+يكون أحسن كنت بقى تقول حاجة جوابت عليك؟ ماشي الحال
+
+388
+00:29:08,970 --> 00:29:14,010
+ممكن أعبيها automatic بال mean أو ال median
+
+389
+00:29:14,010 --> 00:29:18,670
+بالمتوسط الحسابي أو بالوسط الحسابي للأرقام اللي
+
+390
+00:29:18,670 --> 00:29:26,970
+كانت عندنا هنالأن هاي ال attribute واحد،
+
+391
+00:29:26,970 --> 00:29:31,210
+اتنين، تلاتة، أربعة وفي قيمة مفقودة لو أنا قلت بدي
+
+392
+00:29:31,210 --> 00:29:36,530
+أعبيها بالمتوسط الحسابي تلاتة و تلاتة ستة و أربعة
+
+393
+00:29:36,530 --> 00:29:44,590
+عشرة عشر عشرة على أربعة اتنين و نص انا بدي integer
+
+394
+00:29:44,590 --> 00:29:48,110
+تلاتة
+
+395
+00:29:48,110 --> 00:29:54,320
+السؤال جدّيش خطأ إيه هان؟جديش خطأ .. لأ لأ سيبني
+
+396
+00:29:54,320 --> 00:29:58,680
+بعد الـRoundation أنا حطيت تلاتة و هي المفروض تكون
+
+397
+00:29:58,680 --> 00:30:04,420
+اتنين مثلا بس التنين مش موجودة عندى أساسا انا جديش
+
+398
+00:30:04,420 --> 00:30:10,080
+انا فقدت مش كتير مصبوط و لو حطيتها خمسة او حطيتها
+
+399
+00:30:10,080 --> 00:30:13,740
+اربعة برضه انا مفقدتش كتير ليش؟ لأنه في عبارة
+
+400
+00:30:13,740 --> 00:30:17,520
+عمالك ..حوالين ال range اللي انا بقى اشتغل فيه و
+
+401
+00:30:17,520 --> 00:30:21,180
+هادي برضه بيلاحظ و كأني بقى بيستخدم ال mean عشان
+
+402
+00:30:21,180 --> 00:30:28,720
+يعمل infered value تمام؟ مش معروفة طيب ال median
+
+403
+00:30:28,720 --> 00:30:32,900
+ايش ال median يا شباب الوسط والحسابي الوسط
+
+404
+00:30:32,900 --> 00:30:39,300
+والحسابي يعني بدي احطهم بالترتيب بما
+
+405
+00:30:39,300 --> 00:30:42,580
+ان هدول الأعداد اللي عندي فردية معناتهبرضه اجت
+
+406
+00:30:42,580 --> 00:30:48,160
+عندى التلاتة الان كوسط حسابى، مصبوط؟ لأن ال data
+
+407
+00:30:48,160 --> 00:30:52,540
+اللى انا كتبتها على اللحه هيكت جاية الان فى كمان
+
+408
+00:30:52,540 --> 00:30:57,400
+واحد احسن من هيك قالك اذا كان في عندك labelled او
+
+409
+00:30:57,400 --> 00:31:02,540
+الجدول اللى عندك هذا مصنف او معموله category سابق
+
+410
+00:31:07,490 --> 00:31:14,050
+جالك هذا ايه بي ايه بي ايه جالك مافيش داعي تاخد ال
+
+411
+00:31:14,050 --> 00:31:20,410
+mean لكل ال data set او لكل ال attribute خد ال
+
+412
+00:31:20,410 --> 00:31:23,890
+mean فقط يا محلاوي الان جالك مافيش داعي تاخد
+
+413
+00:31:23,890 --> 00:31:29,970
+المتوسط الحسابي لكل ال data set خد المتوسط الحسابي
+
+414
+00:31:29,970 --> 00:31:34,990
+للفئة اللي فيها ال record هذا ال category high مين
+
+415
+00:31:34,990 --> 00:31:38,680
+الفئة اللي فيها ال label هذا المفقودمين الـRows
+
+416
+00:31:38,680 --> 00:31:44,280
+اللي فيهم الـA هي واحد واتنين هي تلاتة والاربعة هي
+
+417
+00:31:44,280 --> 00:31:53,320
+سبعة سبعة على تلاتة اتنين الأولى و الأخيرة الأولى
+
+418
+00:31:53,320 --> 00:31:57,400
+و الأخيرة خمسة على اتنين اتنين و نص اعملها
+
+419
+00:31:57,400 --> 00:32:00,820
+roundation تلاتة ابلك تعمل truncation اتنين ففي
+
+420
+00:32:00,820 --> 00:32:05,780
+الآخر هذه القيمة كمان أدق من المين السابقة ليش
+
+421
+00:32:05,780 --> 00:32:09,390
+لأنها مرتبطالـ category يعني عمّا أنا في عندى ..
+
+422
+00:32:09,390 --> 00:32:14,790
+اه هي اجتهاد فراصة دول مش مشكلة تمام؟ فممكن انا
+
+423
+00:32:14,790 --> 00:32:17,250
+اختار ال mean أو ال median بناء على ال category مش
+
+424
+00:32:17,250 --> 00:32:21,410
+على كل ال data set وهذا بيكون أفضل ممكن أروح أدور
+
+425
+00:32:21,410 --> 00:32:25,950
+على ال most frequent data إيش يعني ال most
+
+426
+00:32:25,950 --> 00:32:30,530
+frequent؟ القيمة الأكثر تكرارا بما أنه هي القيمة
+
+427
+00:32:30,530 --> 00:32:33,490
+الأكتر تكرارا لجيت مثلا 70% من ال values
+
+428
+00:32:36,570 --> 00:32:40,090
+most probable هتكون اتنين او شو رايكوا فهذه
+
+429
+00:32:40,090 --> 00:32:43,610
+الشغلات هذا الشغل بيصير ايش automatic طبعا ممكن
+
+430
+00:32:43,610 --> 00:32:47,430
+انا لما اتكلم على ال most probable ممكن استخدم حتى
+
+431
+00:32:47,430 --> 00:32:51,210
+بعض ال machine learning task او algorithm زي ال
+
+432
+00:32:51,210 --> 00:32:54,690
+بايثون او decision tree عشان يحددل ايش او يختار
+
+433
+00:32:54,690 --> 00:33:00,230
+القيمة لل missing اللي موجودة عندي بالنسبة لأكواد
+
+434
+00:33:00,230 --> 00:33:00,750
+ال بايثون
+
+435
+00:33:06,710 --> 00:33:16,270
+هنحطر أرسم الجدول هذا لكن بعيد عن ال code صاروا
+
+436
+00:33:16,270 --> 00:33:29,940
+أربع أعمدة صحيح؟ attribute 1, 2, 3و ال label Raw 2
+
+437
+00:33:29,940 --> 00:33:43,820
+3 4 5 6 حاجة اقول في ال data هان 1 2 3 4 5 6 7 8 9
+
+438
+00:33:43,820 --> 00:33:54,000
+10 11 12 13 14 15 و بالنسبة لل category
+
+439
+00:33:57,330 --> 00:34:07,210
+A B A D D A او هذا احط
+
+440
+00:34:07,210 --> 00:34:12,630
+ال A فوق بالشكل هذا الان ال data set هاي اللي
+
+441
+00:34:12,630 --> 00:34:17,270
+موجودة قدامي بدي اعملها filling ماعناش مشكلة مع
+
+442
+00:34:17,270 --> 00:34:21,350
+مين مع ال values طب في حالة ال label
+
+443
+00:34:24,300 --> 00:34:28,980
+في حالة ال label شو أسأل فيها هذه الشباب أسلم حاجة
+
+444
+00:34:28,980 --> 00:34:32,900
+نحذفها لأن ال target أو العقل يعني أنا مش عارف هذا
+
+445
+00:34:32,900 --> 00:34:37,500
+الشخص مريض أو غير مريض ربح ولا خسر، مظبوط؟ مش عارف
+
+446
+00:34:37,500 --> 00:34:42,520
+وبالتالي في حالة زي هذه بروح بحذف ال record اللي
+
+447
+00:34:42,520 --> 00:34:49,540
+مافيش Target لأن نسبة خطأ إيهان هتكون أكبر هذه
+
+448
+00:34:49,540 --> 00:34:54,160
+واحدةالان بما ان الحذف هو الحل الأمثل بالنسبة لي
+
+449
+00:34:54,160 --> 00:34:58,820
+الحل الأمثل فانا ممكن اروح احدد ال rows ال raw
+
+450
+00:34:58,820 --> 00:35:03,620
+اللي انا بده احذفه مثلا بده احذف ال raw رقم هي
+
+451
+00:35:03,620 --> 00:35:08,620
+واحد اتنين تلاتة اربع خمسة ستة سبعة هاروح اقوله
+
+452
+00:35:08,620 --> 00:35:15,960
+بكل بساطة ال data set تبعتي dot drop بديله ال
+
+453
+00:35:15,960 --> 00:35:22,050
+index تبع ال raw اللي هي هانقولنا عياشأربعة أربعة
+
+454
+00:35:22,050 --> 00:35:28,270
+in place كبولياري true لأنه إذا أنا قلتله false
+
+455
+00:35:28,270 --> 00:35:33,390
+هذا يعني انه انا بحاجة للأ ل data واحد بيصير كذا
+
+456
+00:35:33,390 --> 00:35:37,530
+لإنه هيعمل generate ل new data set بعد الحدث إذا
+
+457
+00:35:37,530 --> 00:35:41,070
+أنا قلتله in place ما تحدث على نفس ال data set
+
+458
+00:35:41,070 --> 00:35:44,570
+اللي احنا شغالين عليهاتمام؟ هاي الفرق ما بين هاي
+
+459
+00:35:44,570 --> 00:35:49,070
+للـ true و للـ false ال axis عشان يقوللي أنت بدك
+
+460
+00:35:49,070 --> 00:35:56,870
+تحذف من الصفوف ولا من الأعمي ده طيب تعالي ناخد
+
+461
+00:35:56,870 --> 00:36:00,310
+مثال هاي القرية تبعتنا و ليكن هذه القرية تبعتني
+
+462
+00:36:00,310 --> 00:36:05,250
+اسمها data اسمها data و أنا قررت أحذف row أو أحذف
+
+463
+00:36:05,250 --> 00:36:10,650
+عمود هاي ال code بس تغيير ال argument بيحذف الصف
+
+464
+00:36:10,650 --> 00:36:14,780
+أو العمود لو أنا بدي أعمله بال Javaأو بدك تقوم
+
+465
+00:36:14,780 --> 00:36:20,420
+ببرنامج لحد في العمود أو الصف بدك تعمل for loop و
+
+466
+00:36:20,420 --> 00:36:25,000
+بدك تعرف ال array ب dimension أقل، مصبوط؟ سواء كان
+
+467
+00:36:25,000 --> 00:36:28,160
+dimension أو بتعرف الصف أو عمود أقل وبالتالي بدك
+
+468
+00:36:28,160 --> 00:36:31,700
+تسير تاخد تنقل من array ل array و لما تصل لل
+
+469
+00:36:31,700 --> 00:36:34,220
+certain row أو ال certain attribute تعمله ignore
+
+470
+00:36:34,220 --> 00:36:39,060
+وتاخد اللي بعده، مصبوط؟ بينما هان فعليا سطر واحد
+
+471
+00:36:39,060 --> 00:36:43,980
+فكانت حلت المشكلةهي الفكرة انك تروح تعمل
+
+472
+00:36:43,980 --> 00:36:49,440
+implementation للشغل من الصفر بس بس فعليا انت الان
+
+473
+00:36:49,440 --> 00:36:53,580
+انت وين ك user او ك developer لما اعرف ان الان في
+
+474
+00:36:53,580 --> 00:36:55,780
+حد فيكوا بيروح بيعمل implementation لل power
+
+475
+00:36:55,780 --> 00:36:58,840
+method بال java بيروح بيقول ولا بيستخدم مهدود
+
+476
+00:36:58,840 --> 00:37:03,490
+power طب ما احنا بنعرف كيف نعملها implementationبس
+
+477
+00:37:03,490 --> 00:37:08,110
+مستخدمهاش ليش لأنه جاهزة نفس ال complexity صحيح بس
+
+478
+00:37:08,110 --> 00:37:11,690
+من إلي أنا ك developer صار أسهل إلي في الاستخدام
+
+479
+00:37:11,690 --> 00:37:17,650
+طيب فأنا ممكن أحدث صفقة أو عمود حسب حاجتي مع تغيير
+
+480
+00:37:17,650 --> 00:37:24,130
+ال axis إذا أنا بدي أحدث ال attribute لو لاجيت فيه
+
+481
+00:37:24,130 --> 00:37:27,630
+null certain attribute وليه يكون ال label على سبيل
+
+482
+00:37:27,630 --> 00:37:31,130
+المثال أو ال A أو ال B بدي أحدث يعني إذا مجرد
+
+483
+00:37:31,130 --> 00:37:37,590
+ألاقي ال ..فراغ في العمود هذا بدي أحذفه وقولنا هذا
+
+484
+00:37:37,590 --> 00:37:40,290
+أكتر كلام موين مع ال label بما أن ال label هذا
+
+485
+00:37:40,290 --> 00:37:44,310
+موجود مش .. اعفوا .. ال label هذا مفقود فال row
+
+486
+00:37:44,310 --> 00:37:49,370
+هذا بدي أحذفه يعني بين جثيم بدي أحذف ال rows اللي
+
+487
+00:37:49,370 --> 00:37:54,000
+فيها ال label مفقودبدي أحذف الـ rows اللي فيها ال
+
+488
+00:37:54,000 --> 00:37:58,740
+label مفقود يعني بينجو سين الحذف هيكون تبع لل null
+
+489
+00:37:58,740 --> 00:38:02,120
+في certain attribute كل اللي بيلزم يعرف إيش ال
+
+490
+00:38:02,120 --> 00:38:05,380
+title أو إيش ال index تبعته فبقول له ال data
+
+491
+00:38:05,380 --> 00:38:14,200
+bandas.not null هان إيش .. إيش اللي صار فعليا هنا
+
+492
+00:38:14,200 --> 00:38:21,400
+هو أخد نسخة من ال data اللي إلها ميناللي فيها قيم
+
+493
+00:38:21,400 --> 00:38:27,140
+و تجاهل الـ null يعني بينجو سين هو راح يعمل
+
+494
+00:38:27,140 --> 00:38:30,060
+generation لـ new data set فيها واحدة، اتنتين،
+
+495
+00:38:30,060 --> 00:38:35,980
+تلاتة، اربعة، خمسة، ستة، six rows فقط بس الآن لأ
+
+496
+00:38:35,980 --> 00:38:39,120
+لما كون ان انا استخدمت نفس ال data framework name
+
+497
+00:38:39,120 --> 00:38:43,600
+فحطه اعمل override تمام؟ بس الأصل ان هو هيبقى يعمل
+
+498
+00:38:43,600 --> 00:38:49,770
+generate ل new data setو هك أنا خلصت من ال rows
+
+499
+00:38:49,770 --> 00:38:55,910
+اللي مافيش إلها label إذا أنا وين ما بلاجي في الصف
+
+500
+00:38:55,910 --> 00:39:02,510
+null بغض النظر في كل ال data ال 6 تبعتي وين ما
+
+501
+00:39:02,510 --> 00:39:05,750
+بلاجي null بدي أحد في ال row بلجي على ال command
+
+502
+00:39:05,750 --> 00:39:11,830
+الأخير data.drop and a not availableمش بروح بساوي
+
+503
+00:39:11,830 --> 00:39:16,350
+بيصير يعمل skiing على ال rows ال rows ال ال row
+
+504
+00:39:16,350 --> 00:39:21,530
+اللي فيه null بيحذفه بدون ما تحدد هنا كان بناء على
+
+505
+00:39:21,530 --> 00:39:25,750
+certain attribute أخد لك اللي فيهم ال data و ساب
+
+506
+00:39:25,750 --> 00:39:30,190
+ال null لكن هنا هيمر على ال row ده عدتها set هي ال
+
+507
+00:39:30,190 --> 00:39:34,650
+row الأول في null في غضب نظر في أي مكان هيحذفه
+
+508
+00:39:34,650 --> 00:39:39,210
+وبالتالي هذا هي انحدف وهذا هي انحدف وهذا هي انحدف
+
+509
+00:39:41,960 --> 00:39:45,720
+شو صار في ال data set كلها الحدثة فضيت في ال data
+
+510
+00:39:45,720 --> 00:39:51,600
+set اللي انا عملها sample عشان هيك هذا كويس و مريح
+
+511
+00:39:51,600 --> 00:40:04,040
+بس متى مباشرة بروح بقوله print print data dot
+
+512
+00:40:04,040 --> 00:40:10,820
+shape هيقوللي مثلا 100 ألف record و 15 attribute
+
+513
+00:40:12,800 --> 00:40:18,240
+بعد ما بقى نفذ العملية هذه بروح بقوله print كمان
+
+514
+00:40:18,240 --> 00:40:24,220
+مرة ال data dot shape هيديني
+
+515
+00:40:24,220 --> 00:40:32,960
+رقم جالي خمس تلاف وخمستعش لا يا عميخلاص ما هي
+
+516
+00:40:32,960 --> 00:40:36,680
+already انا حلقتها في ال data 6 جديدة فالفكرة بصير
+
+517
+00:40:36,680 --> 00:40:41,340
+اقدر افهم انا قدش حجم الجزء اللي انحذف و هاد
+
+518
+00:40:41,340 --> 00:40:46,000
+بالنسبالي اريح عملية حذف لو انا فعليا حافظت على
+
+519
+00:40:47,200 --> 00:40:50,420
+الداء .. خلّيني أقول نسبة وجود البيانات بشكل كويس
+
+520
+00:40:50,420 --> 00:40:54,160
+يعني زي ما قلنا سابقاً هي كانت مائة ألف وقال لي
+
+521
+00:40:54,160 --> 00:40:58,200
+صار في عندك خمسين ألف record okay ممكن أمشي فيها
+
+522
+00:40:58,200 --> 00:41:01,000
+لكن إذا قال لي و الله أظل .. أظل عندك خمسة وتسعين
+
+523
+00:41:01,000 --> 00:41:05,160
+ألف يكون أحسن وأحسن لكن قال لي خمس ألف لأ يعني هذه
+
+524
+00:41:05,160 --> 00:41:09,400
+العملية مابتنفعش لازم أعمل refill لـAlternative
+
+525
+00:41:09,400 --> 00:41:14,060
+وبالتالي أسهل حاجة إيش أسوي أسهل حاجة الحدث بس
+
+526
+00:41:14,060 --> 00:41:31,900
+مايكونش بأثر على حجمالـ dataset اللي عندك تخزين
+
+527
+00:41:31,900 --> 00:41:36,220
+البيانات manual أو
+
+528
+00:41:36,220 --> 00:41:43,690
+بدي أعب ال missing هذه بشكل manualشكل manual okay
+
+529
+00:41:43,690 --> 00:41:46,390
+معناته انا بدي اعرف ال attribute هذا او عفوا ال
+
+530
+00:41:46,390 --> 00:41:49,710
+value هذه في اي صف و اي عمود بدي اعرف ال index
+
+531
+00:41:49,710 --> 00:41:53,470
+تبعتها ممكن انا اكتب code عشان يعبيها و ممكن اكون
+
+532
+00:41:53,470 --> 00:41:56,530
+افتح ال data set من خلال ال excel sheet تبعتي و
+
+533
+00:41:56,530 --> 00:42:00,310
+اروح اعديلها بشكل مباشر و اعمل reload لل data لكن
+
+534
+00:42:00,310 --> 00:42:03,890
+اذا بتعتمد على ال index في عند index location 9.2
+
+535
+00:42:03,890 --> 00:42:08,230
+الصف التاسع العمود التاني حط ال value بالشكل هذا
+
+536
+00:42:08,900 --> 00:42:12,080
+إذا أنا بدي أحطها بالـ mean أو بدي أخزن الـ value
+
+537
+00:42:12,080 --> 00:42:15,480
+automatic بالـ mean أو الـ median الأمر بسيط جدا،
+
+538
+00:42:15,480 --> 00:42:21,340
+الآن ال data 6 تبعتي مع
+
+539
+00:42:21,340 --> 00:42:27,900
+ال attribute أو ال data مع ال attribute، مع A1 شو
+
+540
+00:42:27,900 --> 00:42:35,560
+بدها تساوي؟ نفس ال attribute A1
+
+541
+00:42:35,560 --> 00:42:42,980
+dot في الNA شو يعني في الـ NA؟ في الـ attribute
+
+542
+00:42:42,980 --> 00:42:50,020
+الفلاني اللي هو أي واحد عبي الـ not available ب
+
+543
+00:42:50,020 --> 00:42:55,420
+certain value لو أنا قلتله 15 أو 10، هياخدوا الـ
+
+544
+00:42:55,420 --> 00:42:58,740
+15 والـ 10 هيعبيها في كل الـ attribute، عفوا، في
+
+545
+00:42:58,740 --> 00:43:02,450
+كل الـ rows الفاضية في الـ attribute هذافي الـ net
+
+546
+00:43:02,450 --> 00:43:06,970
+available لكن انا بدي ايه يروح يحسب للمتوسط تبع
+
+547
+00:43:06,970 --> 00:43:14,090
+العمود هذا فبروح باخد ال data كمان مرة ال a1 ضد ال
+
+548
+00:43:14,090 --> 00:43:19,750
+mean as a function او
+
+549
+00:43:19,750 --> 00:43:24,010
+ممكن اخد ال mean هذي as a value سابقا و ادله اياها
+
+550
+00:43:24,010 --> 00:43:27,850
+فمش فارق كتير معايا وبهيك اصبحت انا باخد ال mean
+
+551
+00:43:28,910 --> 00:43:31,770
+تبعت ال value اللى موجود عنه طبعا ممكن بكل بساطة
+
+552
+00:43:31,770 --> 00:43:34,910
+استبدلها بال median بال maximum بال most frequent
+
+553
+00:43:34,910 --> 00:43:40,790
+أحيانا حسب حاجتي و طبعا كله لما بتكلم على ال
+
+554
+00:43:40,790 --> 00:43:43,370
+minimum و ال maximum و ال median و ال frequent
+
+555
+00:43:43,370 --> 00:43:46,470
+كلها عبارة عن method function جاهزة ماعليك لغاية
+
+556
+00:43:46,470 --> 00:43:51,650
+تستبدل و تشوف ال function المناسبة لك ال noise
+
+557
+00:43:51,650 --> 00:43:57,470
+data بالنسبة
+
+558
+00:43:57,470 --> 00:44:02,790
+لل noise dataأحنا متفقين أن الـ noise data يعني ال
+
+559
+00:44:02,790 --> 00:44:06,190
+data موجودة مش مفقودة لكن ال data خطأ ال data
+
+560
+00:44:06,190 --> 00:44:12,430
+خاطئة والأسباب تقريبا نفس الأسباب السابقة ممكن ال
+
+561
+00:44:12,430 --> 00:44:15,530
+system أو أثناء ال data collection أصبح في عندي
+
+562
+00:44:15,530 --> 00:44:19,210
+filler معين في الآلة في ال thermometer أو في ال
+
+563
+00:44:19,210 --> 00:44:22,670
+data entry أصبح في عندي مشكلة يعني في لحظة من
+
+564
+00:44:22,670 --> 00:44:25,290
+اللحظات كان في عندي الميزان طلعت على الميزان اللي
+
+565
+00:44:25,290 --> 00:44:28,520
+هو بالدين يقول 200 كيلوطبعا نطي تجارة و شرحت
+
+566
+00:44:28,520 --> 00:44:31,540
+الجاكيت و طلعت تاني على الميزان لما قولي 91 مثلا
+
+567
+00:44:31,540 --> 00:44:34,600
+اه هي consistent طب القرائع اللي كانت في الأول ايه
+
+568
+00:44:34,600 --> 00:44:39,200
+سببها الجاكيته مية و مش عارف قديش كيلو الجاكيته
+
+569
+00:44:39,200 --> 00:44:43,680
+نشاطر الله ما شاء الله عليك او ممكن كان فيها 100
+
+570
+00:44:43,680 --> 00:44:47,860
+ألف دولار الجاكيته تمام؟
+
+571
+00:44:47,860 --> 00:44:50,940
+ممكن اتصار في عندي اثناء ال data transmission نقل
+
+572
+00:44:50,940 --> 00:44:56,160
+البيانات عبر الشبكة اتصار في عندي تغيير بسيطفممكن
+
+573
+00:44:56,160 --> 00:44:59,060
+يؤثر برضه الـ technology limitation أحيانا بتكون
+
+574
+00:44:59,060 --> 00:45:05,320
+ال value اللي بده تنقرأ هذه أكبر من .. يعني تخيل
+
+575
+00:45:05,320 --> 00:45:08,360
+أنه أنا فعليا قيمة عملها ال variable integer بال
+
+576
+00:45:08,360 --> 00:45:12,860
+Java و القيمة اللي إجت أكبر تمام؟ فوق الأربع
+
+577
+00:45:12,860 --> 00:45:16,160
+مليارة أو long integer فماشي بيصير فيها؟ بيجيب
+
+578
+00:45:16,160 --> 00:45:18,100
+لآخر قيمة من السالب .. من السالب طب المفروض
+
+579
+00:45:18,100 --> 00:45:22,340
+ماتكونش القيمة السالبة inconsistent naming
+
+580
+00:45:22,340 --> 00:45:27,460
+conventionالمعاني أو في التسميات صار في عندي عدم
+
+581
+00:45:27,460 --> 00:45:32,240
+أو في تضارب خلنا نقول في التفسير اللي موجود عندها
+
+582
+00:45:32,240 --> 00:45:36,000
+طبعا ال duplicate record يا شباب أحيانا برضه بدها
+
+583
+00:45:36,000 --> 00:45:38,640
+معالجة كنوع من الأخطاء اللي موجودة عندها كيف بده
+
+584
+00:45:38,640 --> 00:45:42,580
+يعالج ال noise data معالجة ال noise data إما طريقة
+
+585
+00:45:42,580 --> 00:45:48,480
+بيسميها ال binning أو ال regressionclustering أو
+
+586
+00:45:48,480 --> 00:45:51,080
+فعلياً بتعمل .. و هدول طبعا كلها آلات أو ممكن
+
+587
+00:45:51,080 --> 00:45:55,200
+algorithms و ممكن أن ادخل ال computer أو الآلة مع
+
+588
+00:45:55,200 --> 00:46:01,040
+الإنسان بالنسبة لل binning بالنسبة
+
+589
+00:46:01,040 --> 00:46:04,240
+لل binning ال binning مفهومها انه هروح على ال
+
+590
+00:46:04,240 --> 00:46:06,660
+attribute هذا اخد ال values تبع ال attribute اللي
+
+591
+00:46:06,660 --> 00:46:13,600
+عندي هان ارتبها رقم واحد ارتبها و بعدين اروح
+
+592
+00:46:13,600 --> 00:46:19,490
+اجسمها لفئات تعالى نشوف عفوافي موضوع البناء فالان
+
+593
+00:46:19,490 --> 00:46:26,350
+هذه ال data اللي قداني هي عبارة عن sorted data بدي
+
+594
+00:46:26,350 --> 00:46:32,870
+أكتبها بشكل مختلف هي مثلا خمس عشر أربعة تسعة واحد
+
+595
+00:46:32,870 --> 00:46:42,050
+وعشرين أربعة وعشرين تمانية وعشرين تمانية خمس عشر
+
+596
+00:46:42,050 --> 00:46:50,120
+موجودة احنا قلنا خمسة وعشرينوكمان مرة 21 26 و 34
+
+597
+00:46:50,120 --> 00:46:54,100
+هذه ال values الموجودة لعندي هي ال data هيك جاية
+
+598
+00:46:54,100 --> 00:46:57,540
+ال sequence بال sequence هذا في ال attribute أول
+
+599
+00:46:57,540 --> 00:47:02,680
+خطوة في موضوع ال binning بتعمل sort رتبتهم تصعدي
+
+600
+00:47:02,680 --> 00:47:06,640
+فترتبوا ال data الآن بالنسبة لل binning يا شباب
+
+601
+00:47:06,640 --> 00:47:13,030
+بإمكانك تشتغل على ال equal frequencyيعني تكون كل
+
+602
+00:47:13,030 --> 00:47:17,670
+مجموعة نفس العدد أو تشتغل على ال equal depth زي ما
+
+603
+00:47:17,670 --> 00:47:23,370
+صار في ال histogram تمام؟ تصير تحدد range وتعب كل
+
+604
+00:47:23,370 --> 00:47:26,570
+ال values اللي بتجي اوين؟ في ال range هذا بينما
+
+605
+00:47:26,570 --> 00:47:31,310
+بال equal frequency معناته كل range له نفس العدد
+
+606
+00:47:31,310 --> 00:47:35,210
+من ال elements كل value .. range له نفس العدد من
+
+607
+00:47:35,210 --> 00:47:40,310
+ال elementsفبجسمهم بالتساوي الان هنا في كلام بسيط
+
+608
+00:47:40,310 --> 00:47:46,150
+لازم تفهمه انا بدي احاول اتخلص من ال noise data او
+
+609
+00:47:46,150 --> 00:47:50,410
+قيمة خطأ تمام؟ انا فعليا القيمة الخطأ هذا مش جادر
+
+610
+00:47:50,410 --> 00:47:54,350
+امسكها لحد اللحظة انا مش عارف هي الأربعة ولا
+
+611
+00:47:54,350 --> 00:47:59,050
+الاربعة وتلاتين ولا التمانية ولا التسعة انا مش
+
+612
+00:47:59,050 --> 00:48:01,810
+عارف مين فيهم الخطألكن في الأخر في قيمة خبأة
+
+613
+00:48:01,810 --> 00:48:06,230
+موجودة وانا بدي أعملها smooth عادة الناس اللي
+
+614
+00:48:06,230 --> 00:48:09,690
+بيشتغلوا بالدهان بعد ما بدهان روح بعد فترة مش بيمر
+
+615
+00:48:09,690 --> 00:48:14,210
+إيده على ال surface بحيث بيحاول يحسوا ناعم بالدرجة
+
+616
+00:48:14,210 --> 00:48:18,640
+المطلوبة أو لأتمام؟ ليش بتطلعش بالعين؟ لأنه غير
+
+617
+00:48:18,640 --> 00:48:21,780
+كافي بالنسبة له في اللحظة اللي بيحس فيها خشونة
+
+618
+00:48:21,780 --> 00:48:25,360
+فبرجعاش بنعمها مرة تانية أو بيعملها bullish الآن
+
+619
+00:48:25,360 --> 00:48:29,280
+انت بقى بتعمل bullish بال-binning وحشتغل معاك على
+
+620
+00:48:29,280 --> 00:48:33,800
+ال equal frequency في ال equal frequency كل مكان
+
+621
+00:48:33,800 --> 00:48:39,240
+عدد ال bins أكثر وعناصر ال element فيها أكبر بكون
+
+622
+00:48:39,240 --> 00:48:43,620
+أحسن كهلكت بقولك كيف يعني لو أنا قلتلك هدول 12
+
+623
+00:48:43,620 --> 00:48:44,100
+element
+
+624
+00:48:46,920 --> 00:48:56,220
+12 element جسمليهم لـ 2 bins ماتوا 6 و 6، مصبوط؟
+
+625
+00:48:56,220 --> 00:49:03,920
+6 وهي 6 التانيات الآن اللي بيصير لاحقا ان كل 6
+
+626
+00:49:03,920 --> 00:49:07,180
+أرقام هدول سواء هدول أو هدول بيستبدلوا بقيمة واحدة
+
+627
+00:49:07,180 --> 00:49:12,720
+فقط لقيمة المتوسط الحسابي على سبيل المثال بينما لو
+
+628
+00:49:12,720 --> 00:49:25,990
+انا قلتلك اعملهم 4 binsبتصير في عندي تلتات كل
+
+629
+00:49:25,990 --> 00:49:31,070
+ما زاد عدد ال frequency ال bins ضمن ال range معين
+
+630
+00:49:31,070 --> 00:49:34,030
+وعدد ال element اللي موجودة في الداخل اكتر بكون
+
+631
+00:49:34,030 --> 00:49:38,010
+مناسب والمثال اللي انا هضربه شكلنا .. هتخلص
+
+632
+00:49:38,010 --> 00:49:40,970
+محاضرتنا لو احنا مش مخلصين هنا لو كان عندي مائة
+
+633
+00:49:40,970 --> 00:49:50,770
+ألف طالب و بتوقع الأعمار من عشرينلأربعين سنة وبدي
+
+634
+00:49:50,770 --> 00:49:54,990
+أعمل smoothing لل attribute هذا بدي أعمل binning
+
+635
+00:49:54,990 --> 00:50:01,690
+كام bin بتختارح عليا؟ 25 ألف على أربع فئات زميل
+
+636
+00:50:01,690 --> 00:50:04,730
+لهان بيقول أربع فئات أو أربع مجموعات كل واحدة
+
+637
+00:50:04,730 --> 00:50:08,170
+بتحتوي على 25 ألف العدد اللي بيقوله كويس ليش؟ لأن
+
+638
+00:50:08,170 --> 00:50:13,680
+في الآخر لما بيستخدم المتوسط الحسابيتمام؟ متواصل
+
+639
+00:50:13,680 --> 00:50:16,380
+الحساب بمعناته انا فعليا لو كانت ال value عالي
+
+640
+00:50:16,380 --> 00:50:21,500
+هتروح .. الآن واحد بين تلاتة تأثيره تلت واحد بين
+
+641
+00:50:21,500 --> 00:50:25,180
+عشرة .. على عشرة واحد بين مية و واحد من مية على
+
+642
+00:50:25,180 --> 00:50:28,020
+ميت ألف او على خمسة و عشرين ألف يكاد يكون يروح
+
+643
+00:50:28,020 --> 00:50:31,900
+باتجاه الصفر مصبوط في التأثير ال average طيب، لكن
+
+644
+00:50:31,900 --> 00:50:37,700
+أنا بقول الأربعة غير مناسبة تلاتة،
+
+645
+00:50:37,700 --> 00:50:42,960
+ليش تلاتة؟ عشرين، تلاتين، أربعين؟طب و ال 21 وين
+
+646
+00:50:42,960 --> 00:50:48,200
+راح؟ و 22 وين راح؟ و 25 وين راح؟ ما okay .. انا
+
+647
+00:50:48,200 --> 00:50:51,360
+برضه بقول غير كافي هذا الكلام انا بقول بدي أعملها
+
+648
+00:50:51,360 --> 00:50:56,620
+عشرين بن عشرين مجموعة عشرين .. واحد و عشرين ..
+
+649
+00:50:56,620 --> 00:50:59,380
+اتنين و عشرين .. من عشرين لاربعين في عندي واحد و
+
+650
+00:50:59,380 --> 00:51:03,220
+عشرين بن بدي أعملهم واحد و عشرين بن او عشرين بن ..
+
+651
+00:51:03,220 --> 00:51:08,040
+بينفع؟ اه بينفع جداش عدد كل element في .. عدد كل
+
+652
+00:51:08,040 --> 00:51:14,440
+bin ال element فيها جداش؟خمس ألاف، مائة ألف على
+
+653
+00:51:14,440 --> 00:51:19,620
+عشرين، خمس ألاف، واحد على خمس ألاف بتهيألي برضه
+
+654
+00:51:19,620 --> 00:51:23,480
+النسبة مقبولة، بتروح، مابتبينش، وبالتالي أنا بحط
+
+655
+00:51:23,480 --> 00:51:27,180
+الأعمار ضمن الأعمار المحدودة أو الدقيقة، بدل ما
+
+656
+00:51:27,180 --> 00:51:31,020
+يصير أبو تسعة عشر يصير خمسة أو عشرين أو عشرين،
+
+657
+00:51:31,020 --> 00:51:36,240
+وأبو سبعة عشر يصير عشرين، لأ، طب ما كل واحد يصير
+
+658
+00:51:36,240 --> 00:51:40,260
+إيش؟ ضمن ال range الحقيقي اللي هو فعليا ضمن السنة
+
+659
+00:51:40,260 --> 00:51:41,480
+الحقيقية اللي هو موجود فيها
+
+660
+00:51:47,190 --> 00:51:50,110
+مافيش حاسيب .. المين التبعاتهم هتكون نفس ال value
+
+661
+00:51:50,110 --> 00:51:54,110
+بيبطل في عندي outlier فيهم أو بيبطل noise ال noise
+
+662
+00:51:54,110 --> 00:51:56,990
+احنا بنتكلم عن قيمة اتنين تلاتة بس معقول تكون في
+
+663
+00:51:56,990 --> 00:52:03,630
+عندي خمس تلاف واحد من الميت ألف فيهم نفس الخطأ مش
+
+664
+00:52:03,630 --> 00:52:10,150
+منطق تمام؟ فبجسمتهم bins هيا ده bins لأربعة على
+
+665
+00:52:10,150 --> 00:52:13,370
+أربع element ل frequency تبعتهم أربعة بعد هيك بدي
+
+666
+00:52:13,370 --> 00:52:16,920
+أعبيها بال meanباخد المتوسط الحسابي للمجموعة
+
+667
+00:52:16,920 --> 00:52:20,480
+الأولى كان 9 المتوسط الحسابي للمجموعة التانية 23
+
+668
+00:52:20,480 --> 00:52:25,980
+المتوسط الحسابي للمجموعة التالتة 29 إيش حصل أنا
+
+669
+00:52:25,980 --> 00:52:29,720
+بعد ذلك يا شباب ال data هذه هترجع لأصلها ال 15 كان
+
+670
+00:52:29,720 --> 00:52:34,720
+في المجموعة الأولى صح صار مكانه 9 الأربعة في
+
+671
+00:52:34,720 --> 00:52:39,260
+المجموعة الأولى 9 9 21 كانت في المجموعة التانية
+
+672
+00:52:39,260 --> 00:52:46,050
+صارت 23 2328 كانت في المجموعة التالتة صارت 29
+
+673
+00:52:46,050 --> 00:52:50,290
+تمانية في المجموعة الأولى تسعة خمسة و عشرين في
+
+674
+00:52:50,290 --> 00:52:54,550
+المجموعة التانية تلاتة و عشرين الواحد و عشرين
+
+675
+00:52:54,550 --> 00:52:58,070
+تلاتة و عشرين ستة و عشرين في المجموعة التانية صارت
+
+676
+00:52:58,070 --> 00:53:01,870
+تسعة و عشرين وهذه صارت تسعة و عشرين هذه لأن انا
+
+677
+00:53:01,870 --> 00:53:05,590
+اشتغلت على اربعة pins و استخدمت المين الحل الآخر
+
+678
+00:53:05,590 --> 00:53:10,130
+ان ممكن انا اشتغل علىالـ boundaries شو هي ال
+
+679
+00:53:10,130 --> 00:53:15,290
+boundaries؟ انا هاجي اقول هيه بعد ال sort القيم ال
+
+680
+00:53:15,290 --> 00:53:18,390
+boundary هاي او القيم الحدودية هذه بدي احافظ عليها
+
+681
+00:53:18,390 --> 00:53:25,930
+و بدي اغير كل اللي في الداخل حسب هي أقرب لمين تسعة
+
+682
+00:53:25,930 --> 00:53:28,230
+أقرب لتسعة .. للأربعة ولا الخمس .. تمانية أربعة
+
+683
+00:53:28,230 --> 00:53:32,070
+ولا خمساتعاش؟ أربعة أربعة معناته دي أربعة تسعة
+
+684
+00:53:32,070 --> 00:53:36,670
+أربعة ولا خمساتعاش؟أربعة الفرق هنا خمسة و الفرق
+
+685
+00:53:36,670 --> 00:53:40,570
+هنا ستة معناته هنا أربعة و نفس الكلام واحد و عشرين
+
+686
+00:53:40,570 --> 00:53:45,070
+هذي هتظل واحد و عشرين و هذي هتصير خمسة و عشرين هذي
+
+687
+00:53:45,070 --> 00:53:49,450
+تمانية ستة و عشرين و هذي ستة و عشرين و أربعة و
+
+688
+00:53:49,450 --> 00:53:52,950
+تلاتين و هيك صار في عندي الأن أكتر من طريقة عشان
+
+689
+00:53:52,950 --> 00:53:58,650
+أتعامل مع ال pins وبهيك يصير في عندي data set
+
+690
+00:53:58,650 --> 00:54:04,010
+smooth لكن كمان مرة برجع بقولككل مكان عدد ال bins
+
+691
+00:54:04,010 --> 00:54:09,970
+أكبر ب frequent او ب items أكبر بيكون أفضل بالنسبة
+
+692
+00:54:09,970 --> 00:54:14,410
+لك لأنه بتحاول تحط ال data في الريال case تبعتها
+
+693
+00:54:14,410 --> 00:54:17,750
+وبهلك احنا بننهي محاضرتنا ان شاء الله و بنحاول
+
+694
+00:54:17,750 --> 00:54:20,410
+نكمل المحاضرة الجاية في الموضوع ال regression و ال
+
+695
+00:54:20,410 --> 00:54:20,950
+clustering
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb6d224666b280ddb4ba2dd71c527e99013f4260
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 957, "start": 5.35, "end": 9.57, "text": "بسم الله والحمد لله و الصلاة والسلام على رسول الله اليوم ان شاء الله شباب", "tokens": [3555, 38251, 21984, 16070, 35571, 3215, 24976, 3224, 4032, 31767, 15040, 3660, 16070, 3794, 37440, 15844, 12602, 3794, 12610, 21984, 45595, 20498, 16472, 13412, 16606, 21984, 13412, 3555, 16758], "avg_logprob": -0.15598958283662795, "compression_ratio": 1.5172413793103448, "no_speech_prob": 2.980232238769531e-07, "words": [{"start": 5.35, "end": 5.65, "word": "بسم", "probability": 0.7490234375}, {"start": 5.65, "end": 5.75, "word": " الله", "probability": 0.9609375}, {"start": 5.75, "end": 6.03, "word": " والحمد", "probability": 0.8522135416666666}, {"start": 6.03, "end": 6.15, "word": " لله", "probability": 0.95849609375}, {"start": 6.15, "end": 6.25, "word": " و", "probability": 0.74853515625}, {"start": 6.25, "end": 6.43, "word": " الصلاة", "probability": 0.9148763020833334}, {"start": 6.43, "end": 6.73, "word": " والسلام", 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data preparation بالدرجة الأولى تعالى أخد مثال بسيط في ال code اللي موجود قدامنا ال code اللي موجود قدامنا عمل import لل bandits وروح تعرف ال bandits هي عبارة عن data framework", "tokens": [2407, 17082, 13546, 11296, 1975, 1829, 3224, 22807, 8032, 1863, 8592, 38688, 45030, 11242, 16247, 4117, 14407, 3215, 13672, 1829, 4724, 43042, 3224, 4724, 3794, 3224, 12610, 3660, 13672, 1829, 8032, 1863, 5172, 16095, 11296, 4724, 43042, 3224, 16490, 1211, 6027, 9673, 5016, 46958, 25720, 8032, 47302, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 23032, 1829, 3555, 8717, 29399, 4587, 1211, 20449, 23032, 16572, 4587, 2423, 15148, 13672, 1829, 8978, 6225, 9957, 1829, 8315, 39894, 1211, 11622, 2304, 8315, 8978, 2423, 1412, 13081, 20666, 3215, 47341, 3660, 16247, 12610, 7578, 37279, 6027, 7578, 5551, 9778, 3215, 50113, 6027, 4724, 3794, 1829, 9566, 8978, 2423, 3089, 13672, 1829, 3714, 29245, 23328, 12174, 3215, 10943, 8315, 2423, 3089, 13672, 1829, 3714, 29245, 23328, 12174, 3215, 10943, 8315, 6225, 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جييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييي", "probability": 0.975879566089527}], "temperature": 1.0}, {"id": 31, "seek": 74417, "start": 717.69, "end": 744.17, "text": "الريه ال value تبعته تمام ال index هي optional بالنسبة إلينا بنضيفها بعد ال json عشان أقوله والله فعلا هي ال items أو هي ال index اللي أنا بدي أشتغل معاها بغض النظر حتفرج كتير الآن لو أنا أقول dictionary كام واحد هيقول okay معاك موافق معاك بس بالمناسبة dictionary لأن فقط في عندي two values Q value فقط لما يكون في عندي أكتر من value", "tokens": [6027, 16572, 3224, 2423, 2158, 6055, 3555, 34268, 3224, 46811, 10943, 2423, 8186, 39896, 17312, 20666, 1863, 35457, 3660, 11933, 20292, 8315, 44945, 11242, 33911, 11296, 39182, 2423, 361, 3015, 6225, 8592, 7649, 5551, 39648, 3224, 16070, 43761, 6156, 3615, 15040, 39896, 2423, 4754, 34051, 39896, 2423, 8186, 13672, 1829, 41850, 4724, 16254, 5551, 8592, 2655, 17082, 1211, 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نشوف بس ال code هذا بشكل سريع إيش بساوي الآن في عند ال print خلاص أصبحت معروفة ال head ال data set dot head أو ال tail ال head بتجيب أول خمس صفوف عينة أول صفوف الخمسة و ال tail بتجيب أخر خمسة في عند", "tokens": [14368, 85, 1975, 2407, 1401, 24015, 3991, 11331, 35457, 2423, 3991, 9673, 29245, 23328, 3660, 8978, 3224, 2423, 1412, 4724, 1829, 4587, 2288, 10721, 2423, 1412, 992, 3714, 3555, 33599, 25720, 4032, 4724, 3555, 22653, 5296, 4117, 1412, 8388, 9122, 10943, 1211, 25894, 11296, 4032, 39896, 4117, 4724, 43042, 3224, 39894, 30544, 16712, 3615, 10943, 1211, 20449, 995, 11296, 8608, 3224, 1211, 37279, 6027, 7578, 8717, 8592, 38688, 4724, 3794, 2423, 3089, 23758, 4724, 8592, 28820, 8608, 16572, 3615, 11933, 1829, 8592, 4724, 3794, 995, 45865, 6024, 48506, 8978, 43242, 2423, 4482, 16490, 1211, 33546, 5551, 9381, 3555, 33753, 20449, 32887, 5172, 3660, 2423, 1378, 2423, 1412, 992, 5893, 1378, 34051, 2423, 6838, 2423, 1378, 39894, 7435, 1829, 3555, 5551, 12610, 16490, 2304, 3794, 20328, 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عرفت ال minimum و ال maximum و جديش عدد الفرغات بصير عارف ان انا بدي اشتغل طبعا بإمكانك تعمل loop تمر على ال titles اللي هنا و تعمل description بشكل بدأ ما تكتب كل واحد بشكل تلقائي طيب", "tokens": [3555, 32887, 5016, 4724, 16254, 1975, 25957, 1211, 3566, 22820, 1500, 15844, 2423, 19667, 23758, 2423, 7285, 4032, 2423, 6674, 4032, 2423, 4274, 4032, 18863, 3215, 3215, 27188, 2288, 17082, 9307, 4032, 2423, 1412, 3467, 39894, 7435, 1829, 3555, 20292, 13412, 17082, 1211, 9307, 9122, 3555, 48923, 39894, 2407, 9381, 5172, 2423, 1412, 2423, 19667, 23758, 4032, 23758, 4724, 43042, 3224, 3714, 16095, 20666, 1863, 35457, 3660, 32239, 3224, 6225, 8592, 7649, 1975, 8315, 1975, 15730, 6225, 28480, 2655, 2423, 7285, 4032, 2423, 6674, 4032, 10874, 16254, 8592, 6225, 3215, 3215, 27188, 2288, 17082, 9307, 4724, 9381, 13546, 6225, 9640, 5172, 16472, 1975, 8315, 4724, 16254, 1975, 8592, 2655, 17082, 1211, 23032, 3555, 3615, 995, 4724, 28814, 2304, 41361, 4117, 6055, 25957, 1211, 6367, 6055, 29973, 15844, 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"text": "تمام؟ انا حارجة لما بدي اتكلم على ال manual filling بدي اروح اقوله دين ال document الأصلية تبعتك اللي اعتمدتها او وين ممكن الاجي القيمة هذه ففي جهود لكن مش .. و لو انا رجعت لل guessing", "tokens": [39237, 10943, 22807, 1975, 8315, 11331, 9640, 7435, 3660, 5296, 15042, 4724, 16254, 1975, 2655, 4117, 19528, 15844, 2423, 9688, 10623, 4724, 16254, 1975, 32887, 5016, 1975, 39648, 3224, 11778, 9957, 2423, 4166, 16247, 36520, 10632, 6055, 3555, 34268, 4117, 13672, 1829, 1975, 34268, 2304, 3215, 2655, 11296, 1975, 2407, 4032, 9957, 3714, 43020, 1975, 15040, 7435, 1829, 25062, 32640, 3660, 29538, 6156, 41185, 10874, 3224, 23328, 44381, 37893, 4386, 4032, 45164, 1975, 8315, 12602, 7435, 34268, 24976, 17939], "avg_logprob": -0.27089845202863216, "compression_ratio": 1.5279187817258884, "no_speech_prob": 1.1324882507324219e-06, "words": [{"start": 1556.19, "end": 1556.79, "word": "تمام؟", "probability": 0.7659505208333334}, {"start": 1556.79, "end": 1557.01, "word": " انا", "probability": 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تمام؟ بس الأصل ان هو هيبقى يعمل generate ل new data set", "tokens": [6027, 20292, 8978, 11296, 12174, 32640, 4032, 6055, 7435, 40294, 1211, 2423, 39184, 18184, 37495, 22653, 4724, 9957, 7435, 2407, 8608, 9957, 31439, 12602, 39319, 7251, 25957, 1211, 5125, 5296, 39184, 777, 1412, 992, 8978, 11296, 36764, 24401, 3660, 12399, 1975, 2655, 29399, 9957, 12399, 6055, 1211, 9307, 3660, 12399, 1975, 25513, 27884, 12399, 16490, 2304, 3794, 3660, 12399, 8608, 2655, 3660, 12399, 2309, 13241, 6156, 47432, 4724, 3794, 6024, 48506, 5296, 10721, 5296, 15042, 9122, 11536, 16472, 1975, 8315, 44713, 9778, 40448, 2655, 8717, 36178, 2423, 1412, 8388, 1315, 6156, 5016, 9566, 3224, 1975, 25957, 1211, 42321, 46811, 10943, 22807, 4724, 3794, 16247, 36520, 16472, 31439, 39896, 3555, 4587, 7578, 7251, 25957, 1211, 8460, 5296, 777, 1412, 992], "avg_logprob": -0.21901041654249032, "compression_ratio": 1.6877470355731226, "no_speech_prob": 3.2186508178710938e-06, "words": [{"start": 2300.58, "end": 2300.86, "word": 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"probability": 0.9435221354166666}], "temperature": 1.0}, {"id": 125, "seek": 326095, "start": 3241.91, "end": 3260.95, "text": "كل مكان عدد ال bins أكبر ب frequent او ب items أكبر بيكون أفضل بالنسبة لك لأنه بتحاول تحط ال data في الريال case تبعتها وبهلك احنا بننهي محاضرتنا ان شاء الله و بنحاول نكمل المحاضرة الجاية في الموضوع ال regression و ال clustering", "tokens": [28820, 3714, 41361, 6225, 3215, 3215, 2423, 41275, 5551, 4117, 26890, 4724, 18004, 1975, 2407, 4724, 4754, 5551, 4117, 26890, 4724, 1829, 30544, 5551, 5172, 11242, 1211, 20666, 1863, 35457, 3660, 5296, 4117, 5296, 33456, 3224, 39894, 5016, 995, 12610, 6055, 5016, 9566, 2423, 1412, 8978, 2423, 16572, 6027, 1389, 6055, 3555, 34268, 11296, 46599, 3224, 23275, 1975, 5016, 8315, 44945, 1863, 3224, 1829, 3714, 5016, 46958, 43500, 8315, 16472, 13412, 16606, 21984, 4032, 44945, 5016, 995, 12610, 8717, 24793, 1211, 9673, 5016, 46958, 25720, 25724, 995, 10632, 8978, 9673, 2407, 11242, 45367, 2423, 24590, 4032, 2423, 596, 48673], 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"end": 3258.19, "word": " نكمل", "probability": 0.9747721354166666}, {"start": 3258.19, "end": 3258.59, "word": " المحاضرة", "probability": 0.9853515625}, {"start": 3258.59, "end": 3258.95, "word": " الجاية", "probability": 0.8463541666666666}, {"start": 3258.95, "end": 3259.17, "word": " في", "probability": 0.9189453125}, {"start": 3259.17, "end": 3259.53, "word": " الموضوع", "probability": 0.921142578125}, {"start": 3259.53, "end": 3259.65, "word": " ال", "probability": 0.890625}, {"start": 3259.65, "end": 3259.95, "word": " regression", "probability": 0.9375}, {"start": 3259.95, "end": 3260.29, "word": " و", "probability": 0.66259765625}, {"start": 3260.29, "end": 3260.41, "word": " ال", "probability": 0.94921875}, {"start": 3260.41, "end": 3260.95, "word": " clustering", "probability": 0.7061767578125}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 3262.241125, "duration_after_vad": 3119.1668749999876}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..0e1207062598082aa7c62b6c6c410f30f8bb0ec7
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/B_iTPtLEFIM_raw.srt
@@ -0,0 +1,2780 @@
+1
+00:00:05,350 --> 00:00:07,290
+بسم الله والحمد لله و الصلاة والسلام على رسول الله
+
+2
+00:00:07,290 --> 00:00:13,340
+اليوم ان شاء الله شبابهنبدأ فعليا تقريبا بأول شغل
+
+3
+00:00:13,340 --> 00:00:17,980
+عملي في ال data mining وهجوز إيه في ال data
+
+4
+00:00:17,980 --> 00:00:21,120
+preparation ممكن المحاضرة نشوف فيها بعض الأكواد
+
+5
+00:00:21,120 --> 00:00:24,540
+اليوم لكن المحاضرة الجاية حتما يعني لازم نطبقنا
+
+6
+00:00:24,540 --> 00:00:27,920
+بعض الأشياء العملية مع بعض سواء كنا هنشتغل بال
+
+7
+00:00:27,920 --> 00:00:30,320
+python أو نشتغل بال RapidMiner و هنجرب التنتين
+
+8
+00:00:30,320 --> 00:00:33,780
+معاك و في بعض ال slides اليوم هتكون جاهزة عليها
+
+9
+00:00:33,780 --> 00:00:36,140
+بعض الأكواد ال python اللي ممكن تخدمني بس من باب
+
+10
+00:00:36,140 --> 00:00:42,560
+تحفيزكللتعامل مع الـ Python بالجابع على سبيل
+
+11
+00:00:42,560 --> 00:00:45,400
+المثال يا رامي زي ما كنت بتقول حنبدأ اليوم
+
+12
+00:00:45,400 --> 00:00:49,080
+محاضرتنا كل المحاضرات الماضية اللي بنتكلم على ال
+
+13
+00:00:49,080 --> 00:00:52,060
+data understanding وقلنا المفهوم ال data
+
+14
+00:00:52,060 --> 00:00:55,020
+understanding انه لازم انا أصير فاهم ال data اللي
+
+15
+00:00:55,020 --> 00:00:57,760
+عندي او familiar مع ال data اللي عندي بشكل كويس
+
+16
+00:00:57,760 --> 00:01:00,960
+بحيث انه كل ما انا فهمت ال data بقدر افهم ايش ال
+
+17
+00:01:00,960 --> 00:01:05,630
+taskاللي بدي اياها بقدر افهم احوّر ال data بحيث
+
+18
+00:01:05,630 --> 00:01:08,490
+انا تصبق مع ال task اللي انا بدي اروحلها و كنا
+
+19
+00:01:08,490 --> 00:01:12,590
+بنطرح على حالنا مجموعة من الأسئلة كان أهمها هل ال
+
+20
+00:01:12,590 --> 00:01:15,830
+data هذه relevant لل topic ولا لأ هل ال data هذه
+
+21
+00:01:15,830 --> 00:01:20,630
+كافية من أجل enough أو كافية من أجلإن أبني عليها
+
+22
+00:01:20,630 --> 00:01:24,010
+model ولا لأ؟ هل في مصادر أخرى للبيانات ممكن
+
+23
+00:01:24,010 --> 00:01:27,350
+تدعمني في هالاتجاه هذه؟ هل ال data هذه حقيقية ولا
+
+24
+00:01:27,350 --> 00:01:33,390
+صناعية؟ هل ال data هذه مناسبة .. بس كمان بتحل
+
+25
+00:01:33,390 --> 00:01:37,390
+المشكلة ولا بتحل ال hash؟قديمة ولا جديدة فكل
+
+26
+00:01:37,390 --> 00:01:41,650
+الشغلات هذه كانت تتدعم باتجاه واحد فقط ان انا اصير
+
+27
+00:01:41,650 --> 00:01:45,750
+familiar مع البيانات اللي موجودة عندى بعد ما احنا
+
+28
+00:01:45,750 --> 00:01:48,730
+و كنا طلبنا نهاية المحاضرة الماضية ان كل واحد فيكو
+
+29
+00:01:48,730 --> 00:01:52,670
+او كل معفن كل مجموع تحدد two datasets واحدة for
+
+30
+00:01:52,670 --> 00:01:56,070
+regression واحدة for ال classification و كنا
+
+31
+00:01:56,070 --> 00:02:00,270
+زودناك ب exampleبعض الـ URLs اللي ممكن توجد من
+
+32
+00:02:00,270 --> 00:02:03,310
+خلالها Data Sets دلوقتي في Data Sets في الـ Open
+
+33
+00:02:03,310 --> 00:02:06,350
+Data Sets في Google Open Data Sets في شغلات كتيرة
+
+34
+00:02:06,350 --> 00:02:09,810
+في أي مكان ممكن تختار ال Data Set اللي موجودة و
+
+35
+00:02:09,810 --> 00:02:15,090
+بقى ذكرك لازم تشكل مجموعة أو تنضاف لمجموعة بعد هي
+
+36
+00:02:15,090 --> 00:02:20,710
+كانت حصير الشغل جماعيال data wrangling عفوا او ال
+
+37
+00:02:20,710 --> 00:02:23,410
+preprocessing او ال data preparation زي ما بسميها
+
+38
+00:02:23,410 --> 00:02:27,850
+البعض ان هو فعليا اول خطوة على ال real data انا
+
+39
+00:02:27,850 --> 00:02:31,710
+جبت ال data set سواء كانت text file او data file
+
+40
+00:02:31,710 --> 00:02:35,050
+او csv file او excel file ابغض النظر ايش كانت
+
+41
+00:02:35,050 --> 00:02:39,590
+اصبحت ال data هاي موجودة وبالتالي بالنسبة لي ال
+
+42
+00:02:39,590 --> 00:02:45,080
+data هذه غالبا هي عبارة في ال raw formatشو يعني
+
+43
+00:02:45,080 --> 00:02:49,660
+Raw Format؟ خام بالنسبة لي في اللحظة اللي انا بقول
+
+44
+00:02:49,660 --> 00:02:53,300
+انه الجدول هذا او ال csv file هذا مابت .. الآن
+
+45
+00:02:53,300 --> 00:02:58,100
+مابدهش اي شغل بتصير ال data هذه جاهزة انه ابني
+
+46
+00:02:58,100 --> 00:03:02,880
+عليها data mining taskتمام؟ وهذا الكلام ما بيتم
+
+47
+00:03:02,880 --> 00:03:06,620
+إلا غير بعض فحص أو إجراء بعض التعديلات على
+
+48
+00:03:06,620 --> 00:03:09,980
+البيانات اللي موجودة عندها من بعض الشغلات الخامس
+
+49
+00:03:09,980 --> 00:03:12,960
+يا عماب اللي أنا بتكلم عليها لو كانت ال data set
+
+50
+00:03:12,960 --> 00:03:17,680
+هي عبارة عن مجموعة من الصور على سبيل المثال تي
+
+51
+00:03:17,680 --> 00:03:21,400
+طبيب عظام قرر إنه بدي يحاول يسمع بال data science
+
+52
+00:03:21,400 --> 00:03:24,140
+أو بال data mining وقال لك والله أنا بدي أعمل
+
+53
+00:03:24,140 --> 00:03:29,920
+برنامج أديله صورة الأشعة تمام؟يبدأ هو يدور عن الـ
+
+54
+00:03:29,920 --> 00:03:32,420
+possible fractions الموجودة سواء كان بلغتنا
+
+55
+00:03:32,420 --> 00:03:36,700
+البسيطة كسر واضح أو شعر مش مبين يعني بدي ابني
+
+56
+00:03:36,700 --> 00:03:39,980
+smart system عشان يحددلي ال fraction اللي ممكن
+
+57
+00:03:39,980 --> 00:03:45,760
+يصير في العضم ممتاز ايش ال data تتبعتي؟ بقولي
+
+58
+00:03:45,760 --> 00:03:51,820
+والله انا محتفظ ب100 ألف صورة أشعةتمام؟ X-rays
+
+59
+00:03:51,820 --> 00:03:55,900
+موجودات للمجال هذه و كلها .. كلها بشخصك بدي أحط
+
+60
+00:03:55,900 --> 00:03:59,500
+عليها label هذه فيها كسر و بحدد لك مكانه و هذه
+
+61
+00:03:59,500 --> 00:04:02,860
+فيها شعر و بحدد لك مكانه عشان ال system تبعتك الان
+
+62
+00:04:02,860 --> 00:04:07,380
+ال raw data تبعتك هي صور الأشعع هايطب ماشي حال
+
+63
+00:04:07,380 --> 00:04:10,300
+بدنا special scanner اعملناها scanning ودخلناها
+
+64
+00:04:10,300 --> 00:04:13,340
+على ال system raw data ما زالت في اللحظة اللي
+
+65
+00:04:13,340 --> 00:04:17,740
+بتقدر تحول الصورة هذه لجدول لجداول تقدر تشتغل
+
+66
+00:04:17,740 --> 00:04:21,860
+تشتغل عليها mining بتكون أنت فعليا روحت باتجاه ال
+
+67
+00:04:21,860 --> 00:04:25,620
+task الصحيحة وخلصت من ال raw data ووصلت لوين؟
+
+68
+00:04:25,620 --> 00:04:30,360
+للمعدن أو لل value اللي أنت بدك إياها مثل تماما
+
+69
+00:04:30,360 --> 00:04:35,010
+المنقبين عن البتروللأن هو أخد وصل إلى بير النفط أو
+
+70
+00:04:35,010 --> 00:04:38,290
+حصل على البترول لكن هذا البترول أو هذا البترول
+
+71
+00:04:38,290 --> 00:04:41,910
+الخام غير مناسب للناس فماشي بروح مساعده فيه؟
+
+72
+00:04:41,910 --> 00:04:44,290
+بتدخلوا ع مصانع التكرير عشان يصدر منه البنزين
+
+73
+00:04:44,290 --> 00:04:48,110
+والسولار إلى آخرين وبالتالي أنا بدي أروح ال road
+
+74
+00:04:48,110 --> 00:04:52,570
+بحيث أنها تصبح suitable أعالجها بحيث أنها تصبح
+
+75
+00:04:52,570 --> 00:04:55,750
+suitable لل task أو لل analysis اللي أنا بدي أشتغل
+
+76
+00:04:55,750 --> 00:05:01,940
+عليهطبعا الأن لما بتكلم على ال data preparation
+
+77
+00:05:01,940 --> 00:05:07,240
+عادة هي عبارة عن software by-blind أو coding by
+
+78
+00:05:07,240 --> 00:05:11,120
+-blind شو يعني by-blind يا شباب؟ خط .. خط إنتاج
+
+79
+00:05:11,120 --> 00:05:15,220
+method بتروح بتدور على ال missing data و بتعالجها
+
+80
+00:05:15,220 --> 00:05:19,340
+method تانية أو data تانية بتعالج ال inconsistent
+
+81
+00:05:19,340 --> 00:05:24,570
+data تالتة بتعالج مثلا ال noise dataوكل مخرج يعني
+
+82
+00:05:24,570 --> 00:05:28,310
+الآن بدخل ال raw data لل missing ال output تبع ال
+
+83
+00:05:28,310 --> 00:05:32,530
+missing بروح بعد ده و بدخله عليه as input لل noise
+
+84
+00:05:32,530 --> 00:05:35,230
+data و ال noise data بتروح لل inconsistent بعد
+
+85
+00:05:35,230 --> 00:05:38,850
+معالجها طبعا وبهك كل مرحلة لحد ما بصل لوين في
+
+86
+00:05:38,850 --> 00:05:43,810
+الآخر أن ال data هذه مناسبة أصبحت صحيحة لل task
+
+87
+00:05:43,810 --> 00:05:49,090
+اللي أنا بدي أشغل فيها وبالتاليهذا بيقول إن الناس
+
+88
+00:05:49,090 --> 00:05:51,390
+اللي بدأت تشتغل في ال data science أو في ال data
+
+89
+00:05:51,390 --> 00:05:53,750
+preparation أو ال data preprocessing أو ال data
+
+90
+00:05:53,750 --> 00:05:58,530
+wrangling لازم يتمتع بمجموعة من الصفات اللي لها
+
+91
+00:05:58,530 --> 00:06:02,530
+علاقة بالإحصاء على سبيل المثال ليش؟ لأن أنت بدك
+
+92
+00:06:02,530 --> 00:06:07,910
+تتعرف على البيانات بدك
+
+93
+00:06:07,910 --> 00:06:11,890
+skills زي ما قلنا سابقة multidisciplinary
+
+94
+00:06:13,700 --> 00:06:16,320
+الcourse تبع ال data mining بدك statistic بدك
+
+95
+00:06:16,320 --> 00:06:19,240
+database بدك programming وكل ال skills هذه بتخدمك
+
+96
+00:06:19,240 --> 00:06:27,500
+في موضوع ال preparation بالدرجة الأولى طيب
+
+97
+00:06:27,500 --> 00:06:31,160
+بما أنه احنا حاليا هيلزمنا شغل و نقول programming
+
+98
+00:06:31,160 --> 00:06:35,760
+و نتكلم على pipeline بال بايثون قلتلك انا بحطتلك
+
+99
+00:06:35,760 --> 00:06:40,270
+روابط تنزل الاناكندا مين نزلها شباب جهازه؟واحد
+
+100
+00:06:40,270 --> 00:06:44,570
+اتنين تلاتة اربعة خمسة ستة سبعة تمانية تسعة انتوا
+
+101
+00:06:44,570 --> 00:06:49,730
+ملاحظينوا يا شباب ان المادة مافيش فيها معمل نزل ال
+
+102
+00:06:49,730 --> 00:06:52,330
+python anaconda distribution او ال spider anaconda
+
+103
+00:06:52,330 --> 00:06:55,230
+distribution على جهازك عشان تبدأ تشتغل ليش انا
+
+104
+00:06:55,230 --> 00:06:59,130
+قلتلك نزله هيريحك من كل المكتبات وينزلكيها حزمة
+
+105
+00:06:59,130 --> 00:07:04,380
+واحدة بينما لو بدك تشتغل بالpy charmهتضطر تنزل ال
+
+106
+00:07:04,380 --> 00:07:07,500
+libraries واحدة ورا التانية فانت رايح راسك واشخل
+
+107
+00:07:07,500 --> 00:07:10,320
+على ال distribution جاهزة بتريحك على الأقل في
+
+108
+00:07:10,320 --> 00:07:11,360
+موضوع ال installation
+
+109
+00:07:15,990 --> 00:07:19,870
+هي IDE شاملة المكتبات كلها تبع ال data science
+
+110
+00:07:19,870 --> 00:07:22,870
+وبالتالي بدل ما انا اروح احول ال IDE تبع ال by
+
+111
+00:07:22,870 --> 00:07:26,270
+charm تمام عشان يسموها data science distribution
+
+112
+00:07:26,270 --> 00:07:30,150
+أحيان بسموها الآن بدل ما اروح انا نزل المكتبات
+
+113
+00:07:30,150 --> 00:07:33,150
+واحدة ورا التانية هو كل المكتبات جاهزة ضمن ال
+
+114
+00:07:33,150 --> 00:07:35,390
+setup file اللي بنزل وبالتالي مش هعمل download من
+
+115
+00:07:35,390 --> 00:07:40,040
+ال internet لأي شيء الآنطبعا المهم اذا ما اقول ان
+
+116
+00:07:40,040 --> 00:07:43,020
+احنا ممكن نستخدم الـ Python و هذه كلغة برمجة مهمة
+
+117
+00:07:43,020 --> 00:07:46,200
+جدا ليش مع ال Java؟ مابديش Java ال support إلها
+
+118
+00:07:46,200 --> 00:07:50,860
+أكثر و هنشوف الآن بعض الشغلات فعليا أسهل مليون مرة
+
+119
+00:07:50,860 --> 00:07:55,060
+ماكنت أنا بدي أشتغلها وين؟ بال Java و هديك مثال
+
+120
+00:07:55,060 --> 00:07:59,300
+الآن مثال بسيط جدا المكتبات اللي بتلزمني في ال
+
+121
+00:07:59,300 --> 00:08:01,520
+Python إذا أنا بدي أشتغل على ال PyChart معناته
+
+122
+00:08:01,520 --> 00:08:06,270
+ملزمني ال non-pyالـ numerical arrays في الـ Python
+
+123
+00:08:06,270 --> 00:08:09,710
+و بالزمن البانداز اللي هي عبارة عن data framework
+
+124
+00:08:09,710 --> 00:08:13,510
+من أجل أن أعمل store و retrieve لل data و أطبق
+
+125
+00:08:13,510 --> 00:08:16,370
+عليها بعض ال method الجاهزة اللي لها علاقة في ال
+
+126
+00:08:16,370 --> 00:08:20,710
+preparation من الشغلات البسيطة اللي ممكن تكون
+
+127
+00:08:20,710 --> 00:08:24,350
+motivation كويسة بالنسبة لنا جميعا كيف التعامل مع
+
+128
+00:08:24,350 --> 00:08:27,970
+ال python لو أنا أجيت قلتلك في عندي two
+
+129
+00:08:27,970 --> 00:08:29,050
+dimensional array
+
+130
+00:08:36,150 --> 00:08:41,450
+تلاتة في تلاتة و بدي منها تاخدلي الصف أو العمود
+
+131
+00:08:41,450 --> 00:08:47,870
+الأخير لحاله ك one dimensional array ايش ال code
+
+132
+00:08:47,870 --> 00:08:51,990
+اللي ممكن تكتبه بيه جافر؟ بتروح اعرف ال array one
+
+133
+00:08:51,990 --> 00:08:58,250
+dimensional هقولله integer ال array تبعتي A مثلا و
+
+134
+00:08:58,250 --> 00:09:02,690
+قوللي يا أخي إن هاد اسمها X بدها تساوي new integer
+
+135
+00:09:04,860 --> 00:09:09,880
+تلاتة صح؟ بعدين هروح أقوله four integer I equal
+
+136
+00:09:09,880 --> 00:09:18,160
+zero ال I أقل أو تساوي اتنين I plus plus A of I
+
+137
+00:09:18,160 --> 00:09:30,640
+equal X of اتنين ايه؟ قداشها دي؟ I اتنين مصبوط؟
+
+138
+00:09:35,500 --> 00:09:42,740
+بال بايثون بكل بساطة باجي بقوله a تساوي x
+
+139
+00:09:42,740 --> 00:09:51,000
+او
+
+140
+00:09:51,000 --> 00:09:55,660
+حتى ممكن هذا مكتوب هاش هيك بس يبقى فاق نل لا four
+
+141
+00:09:55,660 --> 00:10:00,720
+ولا حاجة الفكرة وين يا شباب انه فعليا من ناحية
+
+142
+00:10:00,720 --> 00:10:06,620
+simplicityفعلي أسهل وهي فرصة .. فرصة إلك تتعلم لغة
+
+143
+00:10:06,620 --> 00:10:10,080
+جديدة ال four هي ال four و ال F هي ال F نفس ال
+
+144
+00:10:10,080 --> 00:10:12,560
+concept بس ال syntax هو شويه اللي هيخلف .. يخلف
+
+145
+00:10:12,560 --> 00:10:15,060
+معاك الآن هاد الآن في الشغلات اللي زي هاي ال
+
+146
+00:10:15,060 --> 00:10:20,080
+python بتريحك جدا في الكتابة هاي هاد التلت أسطر هي
+
+147
+00:10:20,080 --> 00:10:24,120
+عبارة عن نص سطر فعليا لا أنا محدد يعرف data type
+
+148
+00:10:24,120 --> 00:10:27,280
+ولا أنا محدد يعرف ال four بس اللي بلزمني أحدد
+
+149
+00:10:27,280 --> 00:10:31,400
+أبعاد العمود اللي أنا بدياه و لحاله بيشتغل الشغلة
+
+150
+00:10:31,400 --> 00:10:36,140
+التانيةممكن انا الان هل في مجال يكون في عندي
+
+151
+00:10:36,140 --> 00:10:41,520
+تسميات لل
+
+152
+00:10:41,520 --> 00:10:45,660
+attributes اللي موجودة عندي لأ مافيش مجال مع ال
+
+153
+00:10:45,660 --> 00:10:49,040
+band as بصير في مجال اضيف تسمية لل array او لل
+
+154
+00:10:49,040 --> 00:10:56,000
+data set و بصير بروح بقوله ان ال A equal X of T
+
+155
+00:10:56,000 --> 00:11:01,240
+ثلاثة و خلصت وبالتالي فيها شغل اسهل كتير من ال
+
+156
+00:11:01,240 --> 00:11:06,990
+Javaوغيرها ايه؟ هنشوف بعض الأكواد اللي برضه بسهولة
+
+157
+00:11:06,990 --> 00:11:09,970
+اللي هنفهمها برضه خلال المحاضرة هاي ان شاء الله
+
+158
+00:11:09,970 --> 00:11:14,530
+تعالى طيب ننتقل مع طريق ال libraries اللي في
+
+159
+00:11:14,530 --> 00:11:16,630
+عينينا بتلزمنا في ال data preparation بالدرجة
+
+160
+00:11:16,630 --> 00:11:19,390
+الأولى تعالى أخد مثال بسيط في ال code اللي موجود
+
+161
+00:11:19,390 --> 00:11:23,770
+قدامنا ال code اللي موجود قدامنا عمل import لل
+
+162
+00:11:23,770 --> 00:11:27,670
+bandits وروح
+
+163
+00:11:27,670 --> 00:11:32,430
+تعرف ال bandits هي عبارة عن data frameworkللتعامل
+
+164
+00:11:32,430 --> 00:11:36,010
+واحدة من الاقتراحات تبعتها ان انا ممكن انشئ جدول
+
+165
+00:11:36,010 --> 00:11:40,570
+جديد انشئ جدول جديد فروح قلت له البانداس دوت data
+
+166
+00:11:40,570 --> 00:11:45,310
+framework وزودت ال data framework ال constructor ب
+
+167
+00:11:45,310 --> 00:11:46,770
+.. بإيش يا شباب
+
+168
+00:11:46,770 --> 00:11:51,170
+جييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييييي
+
+169
+00:11:57,690 --> 00:12:01,630
+الريه ال value تبعته تمام ال index هي optional
+
+170
+00:12:01,630 --> 00:12:05,630
+بالنسبة إلينا بنضيفها بعد ال json عشان أقوله والله
+
+171
+00:12:05,630 --> 00:12:07,870
+فعلا هي ال items أو هي ال index اللي أنا بدي أشتغل
+
+172
+00:12:07,870 --> 00:12:14,270
+معاها بغض النظر حتفرج كتير الآن لو أنا أقول
+
+173
+00:12:14,270 --> 00:12:17,590
+dictionary كام واحد هيقول okay معاك موافق معاك بس
+
+174
+00:12:17,590 --> 00:12:20,990
+بالمناسبة dictionary لأن فقط في عندي two values Q
+
+175
+00:12:20,990 --> 00:12:26,080
+value فقط لما يكون في عندي أكتر من valueتمام؟ طبعا
+
+176
+00:12:26,080 --> 00:12:30,640
+ال array كلها as single value anyway في الآخر
+
+177
+00:12:30,640 --> 00:12:33,660
+روحته انا بقوله اطبعلي ال data framework هذا
+
+178
+00:12:33,660 --> 00:12:37,360
+فهيطبعلي يا شباب الشكل اللي قدامك هاي زي ما بظهر
+
+179
+00:12:37,360 --> 00:12:43,140
+على ال console لاحظ؟ لو انا بدي اطبع في مجلة ..
+
+180
+00:12:43,140 --> 00:12:44,940
+هذا كان بيعمله بال Java عبارة عن ايه؟ شرعي ما
+
+181
+00:12:44,940 --> 00:12:49,830
+حيكون array of objects مصبوط؟وبدي loops وبدي كده
+
+182
+00:12:49,830 --> 00:12:53,570
+ودي ربالك اخد ال method فحتى داخلي دوامة مختلفة
+
+183
+00:12:53,570 --> 00:12:56,490
+تماما فهي ال framework من ناحية إنشاء data طبعا ال
+
+184
+00:12:56,490 --> 00:13:00,590
+task تبع إنشاء ال data مش مهم مش مش إلك الآن ليش؟
+
+185
+00:13:00,590 --> 00:13:05,530
+لأن ال data set يا أستاذ تامر موجودة وخالصة ال
+
+186
+00:13:05,530 --> 00:13:07,930
+data set موجودة وخالصة طبعا إيش المطلوب مني؟
+
+187
+00:13:07,930 --> 00:13:13,010
+المطلوب مني أقرأها في موضوع قرايتها مجرد أروح
+
+188
+00:13:13,010 --> 00:13:17,490
+أستخدم ال pandas أقوله readcsv او read excel file
+
+189
+00:13:17,490 --> 00:13:22,010
+حسب ال file الموجودة فيه ال data بيقرأ ال data set
+
+190
+00:13:22,010 --> 00:13:25,890
+مباشرة و ببني لك data framework كامل عليها و هيك
+
+191
+00:13:25,890 --> 00:13:28,930
+برضه بتكون التعامل معاها سهل تعالى نشوف بس ال code
+
+192
+00:13:28,930 --> 00:13:32,090
+هذا بشكل سريع إيش بساوي الآن في عند ال print خلاص
+
+193
+00:13:32,090 --> 00:13:36,290
+أصبحت معروفة ال head ال data set dot head أو ال
+
+194
+00:13:36,290 --> 00:13:40,070
+tail ال head بتجيب أول خمس صفوف عينة أول صفوف
+
+195
+00:13:40,070 --> 00:13:44,620
+الخمسة و ال tail بتجيب أخر خمسة في عندالـ Data
+
+196
+00:13:44,620 --> 00:13:48,420
+Type أو الـ D-Type اللي بتجيب الـ Structure تبعتها
+
+197
+00:13:48,420 --> 00:13:51,740
+إيه في الـ Attribute وإيش الـ Type تبعت كل واحد
+
+198
+00:13:51,740 --> 00:13:56,200
+فيهم وطبعا هذه مجرد أنت عشان تكون عندك صورة واضحة
+
+199
+00:13:56,200 --> 00:14:00,420
+عن الـ Data Set اللي بتشتغل عليها إذا أنا قلتله
+
+200
+00:14:00,420 --> 00:14:04,320
+Shape تخيل إن الـ Attribute عندي أهمام أو الـ Data
+
+201
+00:14:04,320 --> 00:14:09,400
+Set تبعتي بتتكلم على 100 ألف record تمام؟ و 15
+
+202
+00:14:09,400 --> 00:14:10,380
+Attribute
+
+203
+00:14:17,720 --> 00:14:23,220
+لما أروح أقوله shape هيطبع .. لأ لأ مش هيرسم هيطبع
+
+204
+00:14:23,220 --> 00:14:30,940
+الـ 100000 كما 15 لإن
+
+205
+00:14:30,940 --> 00:14:34,480
+طبعتها و يعمل scrolling عليهم أو كده لأ كلمة ال
+
+206
+00:14:34,480 --> 00:14:37,140
+shape جيبلي العدد لو أنا قلتله number of
+
+207
+00:14:37,140 --> 00:14:41,920
+dimensions and them number of dimensions هيقولي
+
+208
+00:14:41,920 --> 00:14:44,980
+اتنين ليش لإن ال data تبعتي الآن في ال data
+
+209
+00:14:44,980 --> 00:14:49,290
+framework تبعي بعدين الصفوفوالأعمدة اللي موجودة
+
+210
+00:14:49,290 --> 00:14:54,370
+عندها الان في عندى method اسمها columns إذا ال
+
+211
+00:14:54,370 --> 00:14:58,410
+data set اللي أنا قرأتها ال data file أو أول ثقر
+
+212
+00:14:58,410 --> 00:15:03,230
+فيها عبارة عن ال attribute names أو ال titles تمام
+
+213
+00:15:03,230 --> 00:15:06,530
+في عندى ال method اسمها الاسمها ال columns بترجعلي
+
+214
+00:15:06,530 --> 00:15:09,430
+فيهم لوحدهم و بصير فيها دول عبارة عن data set
+
+215
+00:15:09,430 --> 00:15:14,650
+مستقلة موجودة عندها بعد هي كانتبتريحني من موضوع ال
+
+216
+00:15:14,650 --> 00:15:17,810
+description وال statistical method لو أنا روحت على
+
+217
+00:15:17,810 --> 00:15:21,070
+certain attribute وقلتله dot describe
+
+218
+00:15:24,230 --> 00:15:28,010
+بروح بدي اعمل complete statistical test على ال
+
+219
+00:15:28,010 --> 00:15:31,090
+attribute هذا ال minimum و ال maximum و ال average
+
+220
+00:15:31,090 --> 00:15:34,390
+و العدد الفرغات و ال data types بتجيبلي شغلات
+
+221
+00:15:34,390 --> 00:15:37,750
+كبيرة بتوصف ال data ال attribute هذا و هذا برضه
+
+222
+00:15:37,750 --> 00:15:40,710
+مهم بالنسبة ليه عشان انا اذا عرفت ال minimum و ال
+
+223
+00:15:40,710 --> 00:15:43,150
+maximum و جديش عدد الفرغات بصير عارف ان انا بدي
+
+224
+00:15:43,150 --> 00:15:47,810
+اشتغل طبعا بإمكانك تعمل loop تمر على ال titles
+
+225
+00:15:47,810 --> 00:15:50,590
+اللي هنا و تعمل description بشكل بدأ ما تكتب كل
+
+226
+00:15:50,590 --> 00:15:55,970
+واحد بشكل تلقائي طيبهذا الكلام او هذه ال slides ما
+
+227
+00:15:55,970 --> 00:15:59,430
+جبتهم الا غير من باب ال motivation لإلك ان ال
+
+228
+00:15:59,430 --> 00:16:03,490
+python سهل و ممكن تعملها او تحتويها تعملها concord
+
+229
+00:16:03,490 --> 00:16:11,110
+ده او تحتويها بشكل كويس خلال الفصل هذا ال rapid
+
+230
+00:16:11,110 --> 00:16:15,290
+minor خيار هنشوفه هنشتغل عليه لكن انا بالنسبة لي
+
+231
+00:16:15,290 --> 00:16:21,530
+قد اعطي plus للي هيشتغل ال python وللي مش هيشتغل
+
+232
+00:16:21,530 --> 00:16:22,490
+ال python هياخد minus
+
+233
+00:16:40,350 --> 00:16:47,070
+ممكن تحتوي على بعض ال missing ال inconsistent و ال
+
+234
+00:16:47,070 --> 00:16:53,990
+noise data الان يا هب noise data شو يعني؟اخدناها
+
+235
+00:16:53,990 --> 00:17:00,310
+سابقا اكتب اسمك هنا و سجل جوابتنا ولا لأ نقشه يعني
+
+236
+00:17:00,310 --> 00:17:05,310
+noise data يعني data فيها أشياء ممكن ماتفيدنيش أو
+
+237
+00:17:05,310 --> 00:17:08,950
+فيها أشياء خاطئ فيها أشياء خاطئ صح بس فيها data
+
+238
+00:17:08,950 --> 00:17:14,490
+ماتفيدنيش مش صح اكتب اسمك عفواتمام؟ الآن noise
+
+239
+00:17:14,490 --> 00:17:17,690
+data يعني لو أنا فيه عندي قيم أو فيه عندي أخطاء في
+
+240
+00:17:17,690 --> 00:17:24,170
+القيم المدخلة مثل الراتب بالسالب تمام؟ طيب عبدالله
+
+241
+00:17:24,170 --> 00:17:27,430
+صحي محمد الكحلوت من جنبك وقول لي شو يعني
+
+242
+00:17:27,430 --> 00:17:35,070
+inconsistent data؟ مش عارف لأنك مابتراجعش لأ بديش
+
+243
+00:17:35,070 --> 00:17:38,450
+إياك أنت يا تامر آه يوسف شو يعني inconsistent
+
+244
+00:17:38,450 --> 00:17:39,230
+data؟
+
+245
+00:17:42,500 --> 00:17:55,180
+محمود أبو حية محمود صح محمد أبو حية محمود
+
+246
+00:17:55,180 --> 00:17:56,740
+أبو حية محمود أبو حية محمود أبو حية محمود أبو حية
+
+247
+00:17:56,740 --> 00:17:59,980
+محمود أبو حية محمود أبو حية محمود أبو حية محمود
+
+248
+00:17:59,980 --> 00:18:02,800
+أبو حية محمود أبو حية محمود أبو حية محمود أبو حية
+
+249
+00:18:02,800 --> 00:18:09,800
+محمود أبو حية محمود أبو حية محمود أبو حيةمثلًا،
+
+250
+00:18:09,800 --> 00:18:13,060
+تاريخ ميلاده مبارح هو في الـ Age مكتوب لـ 40 سنة
+
+251
+00:18:13,060 --> 00:18:17,840
+تمام؟ Missing Data هذه كلكم هتجاوبوها طبعًا، فضل
+
+252
+00:18:17,840 --> 00:18:21,260
+Data مفقودة، إنه فعليًا الـAttribute هذا في
+
+253
+00:18:21,260 --> 00:18:24,080
+الـRecord هذا الـValue تبعته فاضية، مش موجودة عندي
+
+254
+00:18:24,080 --> 00:18:27,400
+وبالتالي، أنا لازم هدأ أقولنا سابقًا كان عندنا
+
+255
+00:18:27,400 --> 00:18:31,060
+مصطلح Garbage In، Garbage Out وبالتالي الـData
+
+256
+00:18:31,060 --> 00:18:35,980
+Quality شيء أساسي في الـData Miningجودة البيانات
+
+257
+00:18:35,980 --> 00:18:39,960
+شيء أساسي في الـ Data Mining وبالتالي، إذا أنت
+
+258
+00:18:39,960 --> 00:18:44,060
+فعليًا بدأت تشتغل وجد في الموضوع الـ Data
+
+259
+00:18:44,060 --> 00:18:47,500
+Preparation عبارة عن خطوة مهمة للـ Serious والـ
+
+260
+00:18:47,500 --> 00:18:53,920
+Effective والـ Real Data Mining Process إيش علامات
+
+261
+00:18:53,920 --> 00:19:00,040
+جودة .. علامات جودة الـ Data Set اللي موجودة عندى؟
+
+262
+00:19:00,040 --> 00:19:05,430
+تقريبًا هي نفس الأسئلة اللي كنا بنطرحهاسابقا عشان
+
+263
+00:19:05,430 --> 00:19:10,010
+تصحيح ال data ال accuracy جداش ال data تبعتي هذه
+
+264
+00:19:10,010 --> 00:19:18,330
+دقيقة جداش ال data تبعتي صحيحة هي فكل
+
+265
+00:19:18,330 --> 00:19:22,290
+ما كانت نسبة دقتها أعلى كل ما كانت هذه أفضل طبعا
+
+266
+00:19:22,290 --> 00:19:30,380
+مصدرها مصدرها يعني بين جسينانت الآن ال data اللي
+
+267
+00:19:30,380 --> 00:19:34,060
+فيها ال values انت بتقدر تتحقق من كل record Raw by
+
+268
+00:19:34,060 --> 00:19:38,920
+Raw؟ أكيد لأ، لكن لما أنا باعرف أن ال data set هاي
+
+269
+00:19:38,920 --> 00:19:45,080
+طالعة مثلا من ال MIT على رأي رامي، تمام؟ ولا طالعة
+
+270
+00:19:45,080 --> 00:19:47,620
+من جامعة إياد الشامي، لأ أكيد اللي طالع من ال MIT،
+
+271
+00:19:47,620 --> 00:19:53,060
+من ال MIT، مصبوط؟ شكرا، شكرا على الثقة يا هاشم،
+
+272
+00:19:53,060 --> 00:19:58,100
+الآن الفكرة وين يا جماعة الخير؟الفكرة أنه مش كمان
+
+273
+00:19:58,100 --> 00:20:02,040
+شوف ال source اللي هي ال believability جداش أنا
+
+274
+00:20:02,040 --> 00:20:07,420
+بواثق فيها في مصدرها لكن الآن بتكلم على جودة
+
+275
+00:20:07,420 --> 00:20:12,620
+البيانات جودة البيانات عادة مش أنا صاحبها ال data
+
+276
+00:20:12,620 --> 00:20:16,440
+لما انجمعت كانت صحيحة لما انجمعت اه صح بأثق في
+
+277
+00:20:16,440 --> 00:20:21,580
+المصدر لكن جداش ممكن المصدر هذا يخطئ في الإدخال
+
+278
+00:20:22,050 --> 00:20:25,250
+جدّاش ال instrument اللي كنت انا بعتمد عليها في
+
+279
+00:20:25,250 --> 00:20:29,730
+القراءات دقيقة بلاش نتكلم على مصدرها انا والله
+
+280
+00:20:29,730 --> 00:20:32,770
+واثق ان اللي حاجيني من ال MIT تمام لكن كانوا
+
+281
+00:20:32,770 --> 00:20:38,310
+مسترخصين وماخدين بعض ال sensors من Taiwan بينما في
+
+282
+00:20:38,310 --> 00:20:42,270
+sensors وضحها افضل وبالتالي ال data set اللي بيصير
+
+283
+00:20:42,270 --> 00:20:47,430
+فيها علامة استفهام لأن بعض ال equipments تبعتها في
+
+284
+00:20:47,430 --> 00:20:51,170
+ال range تبعت ال error تبعتها عاليةفهذه المقصودة
+
+285
+00:20:51,170 --> 00:20:56,850
+بالـ Accuracy على خلاف الـ Believability جديش أنا
+
+286
+00:20:56,850 --> 00:21:00,890
+واثق من مصدر البيانات و في البيانات اللي موجودة
+
+287
+00:21:00,890 --> 00:21:05,450
+عندي هيت لاحظ كمان مرة أنا ما زلت بأتكلم على عوامل
+
+288
+00:21:05,450 --> 00:21:09,630
+انه كيف بدي أو بدي أحاول أشك .. كيف بدي أقيس جودة
+
+289
+00:21:09,630 --> 00:21:13,230
+أو إيش هي علامات جودة ال data set يعني لو قلنا لك
+
+290
+00:21:13,230 --> 00:21:17,710
+في تفاحة و قلنا شو رأيك فيها جودة التفاحة هاي جديش
+
+291
+00:21:17,710 --> 00:21:21,510
+عبداللههي عبد الله، أيوة عبد الله، بناء على إيش؟
+
+292
+00:21:21,510 --> 00:21:26,650
+بطلع فيها، الله التفاحة مبينة، جديدة وطازة وبتلمع،
+
+293
+00:21:26,650 --> 00:21:30,830
+تمام؟ هاي واحد، ريحتها فواحة، مافيش فيها لا ضرب
+
+294
+00:21:30,830 --> 00:21:35,730
+يمين ولا شمال، ولا محمد عضها، مصبوط؟ وبالآخر، في
+
+295
+00:21:35,730 --> 00:21:40,950
+الآخر هاي العلامات، أنت بعينك بتقدر تحددها، طيب،
+
+296
+00:21:40,950 --> 00:21:47,270
+الآن completeness، جداش ال data هايكاملة وبحيث
+
+297
+00:21:47,270 --> 00:21:50,590
+انها توافق ال task اللي انا بدي اياها وسألنا سابقا
+
+298
+00:21:50,590 --> 00:21:54,230
+على ال different sources و ال relevant و من ال
+
+299
+00:21:54,230 --> 00:21:58,170
+expert ليش؟ عشان انا اكون متأكد ان ال data ال 6
+
+300
+00:21:58,170 --> 00:22:02,810
+باعتى هاي فعليا بتنجز consistent ال consistency
+
+301
+00:22:02,810 --> 00:22:07,150
+جداش ال data هاي consistent ما هو يعني لما اتكلمنا
+
+302
+00:22:07,150 --> 00:22:10,050
+في ال consistency انه ما هو المفهوم ان اعدل في
+
+303
+00:22:10,050 --> 00:22:14,430
+مكانومقنوط من التعديل في مكان تاني بس ماعدلتش فيه
+
+304
+00:22:14,430 --> 00:22:17,030
+فبتصير inconsistent values الموجودة اللي عندي
+
+305
+00:22:17,030 --> 00:22:21,770
+timeline is .. هاي شغلة مهمة يا جماعة الخير عشان
+
+306
+00:22:21,770 --> 00:22:24,650
+يقوللي ان ال data .. ال data set اللي موجودة عندي
+
+307
+00:22:24,650 --> 00:22:28,110
+هل بتحل المشكلة اللي أنا بتشتغل عليه ولا لأ؟ يعني
+
+308
+00:22:28,110 --> 00:22:33,810
+أنا بدي أحاول أعمل prediction ما هو إذا حطيت ال
+
+309
+00:22:33,810 --> 00:22:37,210
+mail معناته هتصير أنك عندك .. في عندك مشكلة في ال
+
+310
+00:22:37,210 --> 00:22:41,440
+consistencyمصبوط؟ لأ خلّينا .. احنا عمّالا بدنا
+
+311
+00:22:41,440 --> 00:22:45,780
+نصلح مش اللي بنخبص تمام؟ وبالتالي ال data must be
+
+312
+00:22:45,780 --> 00:22:54,440
+inferred إيش الحلول المتاحة قدامي في التعامل مع ال
+
+313
+00:22:54,440 --> 00:22:59,080
+missing data؟ الآن ال missing سواء كانت في one
+
+314
+00:22:59,080 --> 00:23:05,220
+value أو في two values في ال record تمام؟ في الآخر
+
+315
+00:23:05,220 --> 00:23:09,560
+ال record هذا فيه missingلكن سؤال مهم جدا، هل ممكن
+
+316
+00:23:09,560 --> 00:23:14,980
+كل ال record يكون missing؟ بكونش موجود أساساً،
+
+317
+00:23:14,980 --> 00:23:18,220
+فعلى الأقل ال record بيكون فيه one value والباقي
+
+318
+00:23:18,220 --> 00:23:22,200
+ممكن يكون null، مصبوط، حسب المصدر ففي الآخر، بغض
+
+319
+00:23:22,200 --> 00:23:25,120
+النظر، كان في عنده one value، one missing value or
+
+320
+00:23:25,120 --> 00:23:28,400
+more فهذا ال record بيحتوي على missing أو هذا ال
+
+321
+00:23:28,400 --> 00:23:34,520
+attribute الآن صار بيحتوي على missing أسلم حلإن
+
+322
+00:23:34,520 --> 00:23:39,040
+أحذف الـ rows اللي بتحتوي على ال missing و أريح حل
+
+323
+00:23:39,040 --> 00:23:43,100
+تمام
+
+324
+00:23:43,100 --> 00:23:47,680
+عشان أنا بدي أحط حلول صحيحة و بدي أجيب value صحيحة
+
+325
+00:23:47,680 --> 00:23:53,680
+عشان أحصل الحل صح أو عفوا أصلح حل صح الآن لو كانت
+
+326
+00:23:53,680 --> 00:24:01,080
+ال data 6 اللي عندي 100 ألف row وبعد عملية الحذف
+
+327
+00:24:02,200 --> 00:24:08,920
+بعد عملية الحدث صارت اللي هي 95 ألف raw أنا
+
+328
+00:24:08,920 --> 00:24:12,940
+بالنسبة لي مش فارق كبير مش big deal مش زعلان كتير
+
+329
+00:24:12,940 --> 00:24:19,920
+أقولك لو صارت 50 ألف برضه بالنسبة لي مش كتير لأن
+
+330
+00:24:19,920 --> 00:24:24,160
+ال data لسه still enough يعني فيها كم .. لأ بقى
+
+331
+00:24:24,160 --> 00:24:27,180
+ممكن أستخرج منه لكن لو ضاليت حافظ على ال 100 ألف
+
+332
+00:24:27,180 --> 00:24:27,880
+أحسن وأحسن
+
+333
+00:24:31,060 --> 00:24:35,300
+لأن احنا اتكلمنا سابقا how much big is your data؟
+
+334
+00:24:35,300 --> 00:24:39,400
+كده حجم البيانات اللي عندك؟ لأن كل raw بمثابة
+
+335
+00:24:39,400 --> 00:24:42,960
+تعزيز لل pattern أو تعزيز لل knowledge اللي انا
+
+336
+00:24:42,960 --> 00:24:48,800
+بدأ استخرجها لكن في المقابل اللي كانوا عندي الف
+
+337
+00:24:48,800 --> 00:24:57,560
+record صاروا تسعمية و خمسين acceptable لكن صاروا
+
+338
+00:24:57,560 --> 00:25:05,430
+خمسمية لا يعني وقفعلى الرغم ان هد نص و هد نص 50
+
+339
+00:25:05,430 --> 00:25:11,590
+ألف نص 50% بس العدد بيفرج معايا 500 رو is not
+
+340
+00:25:11,590 --> 00:25:15,430
+enough to train or to build a model في معظم
+
+341
+00:25:15,430 --> 00:25:22,010
+الأحيان طب مش الحل بدك تجيب data set تاني لو
+
+342
+00:25:22,010 --> 00:25:26,600
+متوفرة طب مش متوفرة عند غير الألف هدولبدي أبدأ
+
+343
+00:25:26,600 --> 00:25:31,500
+أعبي ال missing data بدي أبدأ أعبي ال missing data
+
+344
+00:25:31,500 --> 00:25:37,640
+اللي موجودة عندهم كيف بدي أعبيها؟ manually بشكل
+
+345
+00:25:37,640 --> 00:25:41,840
+manual يعني بدي أمر على كل row أو كل عمود row by
+
+346
+00:25:41,840 --> 00:25:47,660
+row و أعبي ال value اللي فيه ممكن
+
+347
+00:25:47,660 --> 00:25:53,260
+شباب ال manual filling لا يعني بالضرورة ان انا 100
+
+348
+00:25:53,260 --> 00:25:58,870
+% صحتمام؟ انا حارجة لما بدي اتكلم على ال manual
+
+349
+00:25:58,870 --> 00:26:02,090
+filling بدي اروح اقوله دين ال document الأصلية
+
+350
+00:26:02,090 --> 00:26:05,570
+تبعتك اللي اعتمدتها او وين ممكن الاجي القيمة هذه
+
+351
+00:26:05,570 --> 00:26:11,700
+ففي جهود لكن مش .. و لو انا رجعت لل guessingفي
+
+352
+00:26:11,700 --> 00:26:15,280
+موضوع الـ Gessing الأصل يكون .. يعني لما بدي أخمن
+
+353
+00:26:15,280 --> 00:26:17,560
+بدي هتكون ال value تبقى .. بدي تكون فيه confident
+
+354
+00:26:17,560 --> 00:26:22,440
+يعني لما قلنا قبل شوية متزوج أو ال status ال
+
+355
+00:26:22,440 --> 00:26:26,160
+marital status متزوج married و فيه pregnant و
+
+356
+00:26:26,160 --> 00:26:30,020
+مفقود عند ال gender مافهمش .. مافيش عاجلين اتنين
+
+357
+00:26:30,020 --> 00:26:34,050
+بيختلفوا على إن هو دي femaleمصبوط؟ وبالتالي هذا
+
+358
+00:26:34,050 --> 00:26:37,570
+الكلام في هذه الشغلات بيصير ال guessing محمود الآن
+
+359
+00:26:37,570 --> 00:26:42,970
+باجب أقول أن والله الطلاب اللي موجودين عندى في
+
+360
+00:26:42,970 --> 00:26:49,410
+المدرسة أعمارهم تتراوح من عشرة لتلات عشر سنة ولاجي
+
+361
+00:26:49,410 --> 00:26:54,690
+الطالب عمره مش موجود و تاريخ ميلاده مش ملاجيه لو
+
+362
+00:26:54,690 --> 00:26:59,190
+حذفته تمام؟ احنا الآن خلصنا من موضوع الحذف بدي أخل
+
+363
+00:26:59,190 --> 00:27:05,220
+ال dataبدي أخل ال data، إيش عبيها؟ لو حطيتها 12
+
+364
+00:27:05,220 --> 00:27:09,360
+بالمتوسط، بيمشي الحال، أثبت؟ هاي ال guessing ممكن
+
+365
+00:27:09,360 --> 00:27:13,980
+لو أنا شوفت عمر الولد أو أروح أسأله فلان، أنت في
+
+366
+00:27:13,980 --> 00:27:17,760
+أي صف؟ طلع فيك هيكد، جالك في صف سادس
+
+367
+00:27:20,950 --> 00:27:24,330
+ماشي، مصبوط ولا لأ؟ إذا أنت حاسيته أنه والله ممكن
+
+368
+00:27:24,330 --> 00:27:28,650
+تطالب هذا يكون مثلا أعاد سنة أو تنتين فممكن تحطه
+
+369
+00:27:28,650 --> 00:27:31,730
+في بناء .. خلاص بتصير happy guessing محمود و هذا
+
+370
+00:27:31,730 --> 00:27:36,250
+الكلام يصير تمام لكن
+
+371
+00:27:36,250 --> 00:27:41,030
+عملية التعبئة ال manual أو التعبئة اليدوية للقيم
+
+372
+00:27:41,030 --> 00:27:53,290
+المفقودة مملة و غير مشدية، خلّيها هيليش غير مشدية؟
+
+373
+00:27:53,290 --> 00:27:58,410
+لأنه ما أكلفك مقارنة بالجهد اللي هيصير مش مشدية
+
+374
+00:27:58,410 --> 00:28:05,070
+كتير automatic برمجيا برمجيا الخيارات اللي قدامي
+
+375
+00:28:05,070 --> 00:28:09,490
+أن أروح على كل ال missing و أحط فيها global
+
+376
+00:28:09,490 --> 00:28:16,130
+constant شو يعني global constant؟ أي رمز بحيث أن
+
+377
+00:28:16,130 --> 00:28:17,290
+الرمز هذي يصير unknown
+
+378
+00:28:20,640 --> 00:28:24,720
+بعرف إنها missing وفي نفس الوجد لو بدوا ينبنى
+
+379
+00:28:24,720 --> 00:28:29,360
+عليها decision لاحقا في حالة ال unknown بيكون كذا
+
+380
+00:28:29,360 --> 00:28:36,140
+على سبيل المثال if كذا else if كذا else if كذا طب
+
+381
+00:28:36,140 --> 00:28:40,580
+ال else الأخيرة لو ما كانت ولا واحدة من هدول في
+
+382
+00:28:40,580 --> 00:28:44,620
+حالة ال switch case case case كذا في الآخر بحطله
+
+383
+00:28:44,620 --> 00:28:47,900
+default لو ماكنتش ولا واحدة من هدول بصير بقوله أنا
+
+384
+00:28:47,900 --> 00:28:53,830
+في حالة ال unknown ممكن أخد decisionتمام؟ هذه ميزة
+
+385
+00:28:53,830 --> 00:29:00,630
+أو أهمية للجلوبال constant لكنه مش مفضل برضه ليش؟
+
+386
+00:29:00,630 --> 00:29:03,910
+لأن كل ما كانت ال rule تبعتي مبنية على fixed value
+
+387
+00:29:03,910 --> 00:29:08,970
+يكون أحسن كنت بقى تقول حاجة جوابت عليك؟ ماشي الحال
+
+388
+00:29:08,970 --> 00:29:14,010
+ممكن أعبيها automatic بال mean أو ال median
+
+389
+00:29:14,010 --> 00:29:18,670
+بالمتوسط الحسابي أو بالوسط الحسابي للأرقام اللي
+
+390
+00:29:18,670 --> 00:29:26,970
+كانت عندنا هنالأن هاي ال attribute واحد،
+
+391
+00:29:26,970 --> 00:29:31,210
+اتنين، تلاتة، أربعة وفي قيمة مفقودة لو أنا قلت بدي
+
+392
+00:29:31,210 --> 00:29:36,530
+أعبيها بالمتوسط الحسابي تلاتة و تلاتة ستة و أربعة
+
+393
+00:29:36,530 --> 00:29:44,590
+عشرة عشر عشرة على أربعة اتنين و نص انا بدي integer
+
+394
+00:29:44,590 --> 00:29:48,110
+تلاتة
+
+395
+00:29:48,110 --> 00:29:54,320
+السؤال جدّيش خطأ إيه هان؟جديش خطأ .. لأ لأ سيبني
+
+396
+00:29:54,320 --> 00:29:58,680
+بعد الـRoundation أنا حطيت تلاتة و هي المفروض تكون
+
+397
+00:29:58,680 --> 00:30:04,420
+اتنين مثلا بس التنين مش موجودة عندى أساسا انا جديش
+
+398
+00:30:04,420 --> 00:30:10,080
+انا فقدت مش كتير مصبوط و لو حطيتها خمسة او حطيتها
+
+399
+00:30:10,080 --> 00:30:13,740
+اربعة برضه انا مفقدتش كتير ليش؟ لأنه في عبارة
+
+400
+00:30:13,740 --> 00:30:17,520
+عمالك ..حوالين ال range اللي انا بقى اشتغل فيه و
+
+401
+00:30:17,520 --> 00:30:21,180
+هادي برضه بيلاحظ و كأني بقى بيستخدم ال mean عشان
+
+402
+00:30:21,180 --> 00:30:28,720
+يعمل infered value تمام؟ مش معروفة طيب ال median
+
+403
+00:30:28,720 --> 00:30:32,900
+ايش ال median يا شباب الوسط والحسابي الوسط
+
+404
+00:30:32,900 --> 00:30:39,300
+والحسابي يعني بدي احطهم بالترتيب بما
+
+405
+00:30:39,300 --> 00:30:42,580
+ان هدول الأعداد اللي عندي فردية معناتهبرضه اجت
+
+406
+00:30:42,580 --> 00:30:48,160
+عندى التلاتة الان كوسط حسابى، مصبوط؟ لأن ال data
+
+407
+00:30:48,160 --> 00:30:52,540
+اللى انا كتبتها على اللحه هيكت جاية الان فى كمان
+
+408
+00:30:52,540 --> 00:30:57,400
+واحد احسن من هيك قالك اذا كان في عندك labelled او
+
+409
+00:30:57,400 --> 00:31:02,540
+الجدول اللى عندك هذا مصنف او معموله category سابق
+
+410
+00:31:07,490 --> 00:31:14,050
+جالك هذا ايه بي ايه بي ايه جالك مافيش داعي تاخد ال
+
+411
+00:31:14,050 --> 00:31:20,410
+mean لكل ال data set او لكل ال attribute خد ال
+
+412
+00:31:20,410 --> 00:31:23,890
+mean فقط يا محلاوي الان جالك مافيش داعي تاخد
+
+413
+00:31:23,890 --> 00:31:29,970
+المتوسط الحسابي لكل ال data set خد المتوسط الحسابي
+
+414
+00:31:29,970 --> 00:31:34,990
+للفئة اللي فيها ال record هذا ال category high مين
+
+415
+00:31:34,990 --> 00:31:38,680
+الفئة اللي فيها ال label هذا المفقودمين الـRows
+
+416
+00:31:38,680 --> 00:31:44,280
+اللي فيهم الـA هي واحد واتنين هي تلاتة والاربعة هي
+
+417
+00:31:44,280 --> 00:31:53,320
+سبعة سبعة على تلاتة اتنين الأولى و الأخيرة الأولى
+
+418
+00:31:53,320 --> 00:31:57,400
+و الأخيرة خمسة على اتنين اتنين و نص اعملها
+
+419
+00:31:57,400 --> 00:32:00,820
+roundation تلاتة ابلك تعمل truncation اتنين ففي
+
+420
+00:32:00,820 --> 00:32:05,780
+الآخر هذه القيمة كمان أدق من المين السابقة ليش
+
+421
+00:32:05,780 --> 00:32:09,390
+لأنها مرتبطالـ category يعني عمّا أنا في عندى ..
+
+422
+00:32:09,390 --> 00:32:14,790
+اه هي اجتهاد فراصة دول مش مشكلة تمام؟ فممكن انا
+
+423
+00:32:14,790 --> 00:32:17,250
+اختار ال mean أو ال median بناء على ال category مش
+
+424
+00:32:17,250 --> 00:32:21,410
+على كل ال data set وهذا بيكون أفضل ممكن أروح أدور
+
+425
+00:32:21,410 --> 00:32:25,950
+على ال most frequent data إيش يعني ال most
+
+426
+00:32:25,950 --> 00:32:30,530
+frequent؟ القيمة الأكثر تكرارا بما أنه هي القيمة
+
+427
+00:32:30,530 --> 00:32:33,490
+الأكتر تكرارا لجيت مثلا 70% من ال values
+
+428
+00:32:36,570 --> 00:32:40,090
+most probable هتكون اتنين او شو رايكوا فهذه
+
+429
+00:32:40,090 --> 00:32:43,610
+الشغلات هذا الشغل بيصير ايش automatic طبعا ممكن
+
+430
+00:32:43,610 --> 00:32:47,430
+انا لما اتكلم على ال most probable ممكن استخدم حتى
+
+431
+00:32:47,430 --> 00:32:51,210
+بعض ال machine learning task او algorithm زي ال
+
+432
+00:32:51,210 --> 00:32:54,690
+بايثون او decision tree عشان يحددل ايش او يختار
+
+433
+00:32:54,690 --> 00:33:00,230
+القيمة لل missing اللي موجودة عندي بالنسبة لأكواد
+
+434
+00:33:00,230 --> 00:33:00,750
+ال بايثون
+
+435
+00:33:06,710 --> 00:33:16,270
+هنحطر أرسم الجدول هذا لكن بعيد عن ال code صاروا
+
+436
+00:33:16,270 --> 00:33:29,940
+أربع أعمدة صحيح؟ attribute 1, 2, 3و ال label Raw 2
+
+437
+00:33:29,940 --> 00:33:43,820
+3 4 5 6 حاجة اقول في ال data هان 1 2 3 4 5 6 7 8 9
+
+438
+00:33:43,820 --> 00:33:54,000
+10 11 12 13 14 15 و بالنسبة لل category
+
+439
+00:33:57,330 --> 00:34:07,210
+A B A D D A او هذا احط
+
+440
+00:34:07,210 --> 00:34:12,630
+ال A فوق بالشكل هذا الان ال data set هاي اللي
+
+441
+00:34:12,630 --> 00:34:17,270
+موجودة قدامي بدي اعملها filling ماعناش مشكلة مع
+
+442
+00:34:17,270 --> 00:34:21,350
+مين مع ال values طب في حالة ال label
+
+443
+00:34:24,300 --> 00:34:28,980
+في حالة ال label شو أسأل فيها هذه الشباب أسلم حاجة
+
+444
+00:34:28,980 --> 00:34:32,900
+نحذفها لأن ال target أو العقل يعني أنا مش عارف هذا
+
+445
+00:34:32,900 --> 00:34:37,500
+الشخص مريض أو غير مريض ربح ولا خسر، مظبوط؟ مش عارف
+
+446
+00:34:37,500 --> 00:34:42,520
+وبالتالي في حالة زي هذه بروح بحذف ال record اللي
+
+447
+00:34:42,520 --> 00:34:49,540
+مافيش Target لأن نسبة خطأ إيهان هتكون أكبر هذه
+
+448
+00:34:49,540 --> 00:34:54,160
+واحدةالان بما ان الحذف هو الحل الأمثل بالنسبة لي
+
+449
+00:34:54,160 --> 00:34:58,820
+الحل الأمثل فانا ممكن اروح احدد ال rows ال raw
+
+450
+00:34:58,820 --> 00:35:03,620
+اللي انا بده احذفه مثلا بده احذف ال raw رقم هي
+
+451
+00:35:03,620 --> 00:35:08,620
+واحد اتنين تلاتة اربع خمسة ستة سبعة هاروح اقوله
+
+452
+00:35:08,620 --> 00:35:15,960
+بكل بساطة ال data set تبعتي dot drop بديله ال
+
+453
+00:35:15,960 --> 00:35:22,050
+index تبع ال raw اللي هي هانقولنا عياشأربعة أربعة
+
+454
+00:35:22,050 --> 00:35:28,270
+in place كبولياري true لأنه إذا أنا قلتله false
+
+455
+00:35:28,270 --> 00:35:33,390
+هذا يعني انه انا بحاجة للأ ل data واحد بيصير كذا
+
+456
+00:35:33,390 --> 00:35:37,530
+لإنه هيعمل generate ل new data set بعد الحدث إذا
+
+457
+00:35:37,530 --> 00:35:41,070
+أنا قلتله in place ما تحدث على نفس ال data set
+
+458
+00:35:41,070 --> 00:35:44,570
+اللي احنا شغالين عليهاتمام؟ هاي الفرق ما بين هاي
+
+459
+00:35:44,570 --> 00:35:49,070
+للـ true و للـ false ال axis عشان يقوللي أنت بدك
+
+460
+00:35:49,070 --> 00:35:56,870
+تحذف من الصفوف ولا من الأعمي ده طيب تعالي ناخد
+
+461
+00:35:56,870 --> 00:36:00,310
+مثال هاي القرية تبعتنا و ليكن هذه القرية تبعتني
+
+462
+00:36:00,310 --> 00:36:05,250
+اسمها data اسمها data و أنا قررت أحذف row أو أحذف
+
+463
+00:36:05,250 --> 00:36:10,650
+عمود هاي ال code بس تغيير ال argument بيحذف الصف
+
+464
+00:36:10,650 --> 00:36:14,780
+أو العمود لو أنا بدي أعمله بال Javaأو بدك تقوم
+
+465
+00:36:14,780 --> 00:36:20,420
+ببرنامج لحد في العمود أو الصف بدك تعمل for loop و
+
+466
+00:36:20,420 --> 00:36:25,000
+بدك تعرف ال array ب dimension أقل، مصبوط؟ سواء كان
+
+467
+00:36:25,000 --> 00:36:28,160
+dimension أو بتعرف الصف أو عمود أقل وبالتالي بدك
+
+468
+00:36:28,160 --> 00:36:31,700
+تسير تاخد تنقل من array ل array و لما تصل لل
+
+469
+00:36:31,700 --> 00:36:34,220
+certain row أو ال certain attribute تعمله ignore
+
+470
+00:36:34,220 --> 00:36:39,060
+وتاخد اللي بعده، مصبوط؟ بينما هان فعليا سطر واحد
+
+471
+00:36:39,060 --> 00:36:43,980
+فكانت حلت المشكلةهي الفكرة انك تروح تعمل
+
+472
+00:36:43,980 --> 00:36:49,440
+implementation للشغل من الصفر بس بس فعليا انت الان
+
+473
+00:36:49,440 --> 00:36:53,580
+انت وين ك user او ك developer لما اعرف ان الان في
+
+474
+00:36:53,580 --> 00:36:55,780
+حد فيكوا بيروح بيعمل implementation لل power
+
+475
+00:36:55,780 --> 00:36:58,840
+method بال java بيروح بيقول ولا بيستخدم مهدود
+
+476
+00:36:58,840 --> 00:37:03,490
+power طب ما احنا بنعرف كيف نعملها implementationبس
+
+477
+00:37:03,490 --> 00:37:08,110
+مستخدمهاش ليش لأنه جاهزة نفس ال complexity صحيح بس
+
+478
+00:37:08,110 --> 00:37:11,690
+من إلي أنا ك developer صار أسهل إلي في الاستخدام
+
+479
+00:37:11,690 --> 00:37:17,650
+طيب فأنا ممكن أحدث صفقة أو عمود حسب حاجتي مع تغيير
+
+480
+00:37:17,650 --> 00:37:24,130
+ال axis إذا أنا بدي أحدث ال attribute لو لاجيت فيه
+
+481
+00:37:24,130 --> 00:37:27,630
+null certain attribute وليه يكون ال label على سبيل
+
+482
+00:37:27,630 --> 00:37:31,130
+المثال أو ال A أو ال B بدي أحدث يعني إذا مجرد
+
+483
+00:37:31,130 --> 00:37:37,590
+ألاقي ال ..فراغ في العمود هذا بدي أحذفه وقولنا هذا
+
+484
+00:37:37,590 --> 00:37:40,290
+أكتر كلام موين مع ال label بما أن ال label هذا
+
+485
+00:37:40,290 --> 00:37:44,310
+موجود مش .. اعفوا .. ال label هذا مفقود فال row
+
+486
+00:37:44,310 --> 00:37:49,370
+هذا بدي أحذفه يعني بين جثيم بدي أحذف ال rows اللي
+
+487
+00:37:49,370 --> 00:37:54,000
+فيها ال label مفقودبدي أحذف الـ rows اللي فيها ال
+
+488
+00:37:54,000 --> 00:37:58,740
+label مفقود يعني بينجو سين الحذف هيكون تبع لل null
+
+489
+00:37:58,740 --> 00:38:02,120
+في certain attribute كل اللي بيلزم يعرف إيش ال
+
+490
+00:38:02,120 --> 00:38:05,380
+title أو إيش ال index تبعته فبقول له ال data
+
+491
+00:38:05,380 --> 00:38:14,200
+bandas.not null هان إيش .. إيش اللي صار فعليا هنا
+
+492
+00:38:14,200 --> 00:38:21,400
+هو أخد نسخة من ال data اللي إلها ميناللي فيها قيم
+
+493
+00:38:21,400 --> 00:38:27,140
+و تجاهل الـ null يعني بينجو سين هو راح يعمل
+
+494
+00:38:27,140 --> 00:38:30,060
+generation لـ new data set فيها واحدة، اتنتين،
+
+495
+00:38:30,060 --> 00:38:35,980
+تلاتة، اربعة، خمسة، ستة، six rows فقط بس الآن لأ
+
+496
+00:38:35,980 --> 00:38:39,120
+لما كون ان انا استخدمت نفس ال data framework name
+
+497
+00:38:39,120 --> 00:38:43,600
+فحطه اعمل override تمام؟ بس الأصل ان هو هيبقى يعمل
+
+498
+00:38:43,600 --> 00:38:49,770
+generate ل new data setو هك أنا خلصت من ال rows
+
+499
+00:38:49,770 --> 00:38:55,910
+اللي مافيش إلها label إذا أنا وين ما بلاجي في الصف
+
+500
+00:38:55,910 --> 00:39:02,510
+null بغض النظر في كل ال data ال 6 تبعتي وين ما
+
+501
+00:39:02,510 --> 00:39:05,750
+بلاجي null بدي أحد في ال row بلجي على ال command
+
+502
+00:39:05,750 --> 00:39:11,830
+الأخير data.drop and a not availableمش بروح بساوي
+
+503
+00:39:11,830 --> 00:39:16,350
+بيصير يعمل skiing على ال rows ال rows ال ال row
+
+504
+00:39:16,350 --> 00:39:21,530
+اللي فيه null بيحذفه بدون ما تحدد هنا كان بناء على
+
+505
+00:39:21,530 --> 00:39:25,750
+certain attribute أخد لك اللي فيهم ال data و ساب
+
+506
+00:39:25,750 --> 00:39:30,190
+ال null لكن هنا هيمر على ال row ده عدتها set هي ال
+
+507
+00:39:30,190 --> 00:39:34,650
+row الأول في null في غضب نظر في أي مكان هيحذفه
+
+508
+00:39:34,650 --> 00:39:39,210
+وبالتالي هذا هي انحدف وهذا هي انحدف وهذا هي انحدف
+
+509
+00:39:41,960 --> 00:39:45,720
+شو صار في ال data set كلها الحدثة فضيت في ال data
+
+510
+00:39:45,720 --> 00:39:51,600
+set اللي انا عملها sample عشان هيك هذا كويس و مريح
+
+511
+00:39:51,600 --> 00:40:04,040
+بس متى مباشرة بروح بقوله print print data dot
+
+512
+00:40:04,040 --> 00:40:10,820
+shape هيقوللي مثلا 100 ألف record و 15 attribute
+
+513
+00:40:12,800 --> 00:40:18,240
+بعد ما بقى نفذ العملية هذه بروح بقوله print كمان
+
+514
+00:40:18,240 --> 00:40:24,220
+مرة ال data dot shape هيديني
+
+515
+00:40:24,220 --> 00:40:32,960
+رقم جالي خمس تلاف وخمستعش لا يا عميخلاص ما هي
+
+516
+00:40:32,960 --> 00:40:36,680
+already انا حلقتها في ال data 6 جديدة فالفكرة بصير
+
+517
+00:40:36,680 --> 00:40:41,340
+اقدر افهم انا قدش حجم الجزء اللي انحذف و هاد
+
+518
+00:40:41,340 --> 00:40:46,000
+بالنسبالي اريح عملية حذف لو انا فعليا حافظت على
+
+519
+00:40:47,200 --> 00:40:50,420
+الداء .. خلّيني أقول نسبة وجود البيانات بشكل كويس
+
+520
+00:40:50,420 --> 00:40:54,160
+يعني زي ما قلنا سابقاً هي كانت مائة ألف وقال لي
+
+521
+00:40:54,160 --> 00:40:58,200
+صار في عندك خمسين ألف record okay ممكن أمشي فيها
+
+522
+00:40:58,200 --> 00:41:01,000
+لكن إذا قال لي و الله أظل .. أظل عندك خمسة وتسعين
+
+523
+00:41:01,000 --> 00:41:05,160
+ألف يكون أحسن وأحسن لكن قال لي خمس ألف لأ يعني هذه
+
+524
+00:41:05,160 --> 00:41:09,400
+العملية مابتنفعش لازم أعمل refill لـAlternative
+
+525
+00:41:09,400 --> 00:41:14,060
+وبالتالي أسهل حاجة إيش أسوي أسهل حاجة الحدث بس
+
+526
+00:41:14,060 --> 00:41:31,900
+مايكونش بأثر على حجمالـ dataset اللي عندك تخزين
+
+527
+00:41:31,900 --> 00:41:36,220
+البيانات manual أو
+
+528
+00:41:36,220 --> 00:41:43,690
+بدي أعب ال missing هذه بشكل manualشكل manual okay
+
+529
+00:41:43,690 --> 00:41:46,390
+معناته انا بدي اعرف ال attribute هذا او عفوا ال
+
+530
+00:41:46,390 --> 00:41:49,710
+value هذه في اي صف و اي عمود بدي اعرف ال index
+
+531
+00:41:49,710 --> 00:41:53,470
+تبعتها ممكن انا اكتب code عشان يعبيها و ممكن اكون
+
+532
+00:41:53,470 --> 00:41:56,530
+افتح ال data set من خلال ال excel sheet تبعتي و
+
+533
+00:41:56,530 --> 00:42:00,310
+اروح اعديلها بشكل مباشر و اعمل reload لل data لكن
+
+534
+00:42:00,310 --> 00:42:03,890
+اذا بتعتمد على ال index في عند index location 9.2
+
+535
+00:42:03,890 --> 00:42:08,230
+الصف التاسع العمود التاني حط ال value بالشكل هذا
+
+536
+00:42:08,900 --> 00:42:12,080
+إذا أنا بدي أحطها بالـ mean أو بدي أخزن الـ value
+
+537
+00:42:12,080 --> 00:42:15,480
+automatic بالـ mean أو الـ median الأمر بسيط جدا،
+
+538
+00:42:15,480 --> 00:42:21,340
+الآن ال data 6 تبعتي مع
+
+539
+00:42:21,340 --> 00:42:27,900
+ال attribute أو ال data مع ال attribute، مع A1 شو
+
+540
+00:42:27,900 --> 00:42:35,560
+بدها تساوي؟ نفس ال attribute A1
+
+541
+00:42:35,560 --> 00:42:42,980
+dot في الNA شو يعني في الـ NA؟ في الـ attribute
+
+542
+00:42:42,980 --> 00:42:50,020
+الفلاني اللي هو أي واحد عبي الـ not available ب
+
+543
+00:42:50,020 --> 00:42:55,420
+certain value لو أنا قلتله 15 أو 10، هياخدوا الـ
+
+544
+00:42:55,420 --> 00:42:58,740
+15 والـ 10 هيعبيها في كل الـ attribute، عفوا، في
+
+545
+00:42:58,740 --> 00:43:02,450
+كل الـ rows الفاضية في الـ attribute هذافي الـ net
+
+546
+00:43:02,450 --> 00:43:06,970
+available لكن انا بدي ايه يروح يحسب للمتوسط تبع
+
+547
+00:43:06,970 --> 00:43:14,090
+العمود هذا فبروح باخد ال data كمان مرة ال a1 ضد ال
+
+548
+00:43:14,090 --> 00:43:19,750
+mean as a function او
+
+549
+00:43:19,750 --> 00:43:24,010
+ممكن اخد ال mean هذي as a value سابقا و ادله اياها
+
+550
+00:43:24,010 --> 00:43:27,850
+فمش فارق كتير معايا وبهيك اصبحت انا باخد ال mean
+
+551
+00:43:28,910 --> 00:43:31,770
+تبعت ال value اللى موجود عنه طبعا ممكن بكل بساطة
+
+552
+00:43:31,770 --> 00:43:34,910
+استبدلها بال median بال maximum بال most frequent
+
+553
+00:43:34,910 --> 00:43:40,790
+أحيانا حسب حاجتي و طبعا كله لما بتكلم على ال
+
+554
+00:43:40,790 --> 00:43:43,370
+minimum و ال maximum و ال median و ال frequent
+
+555
+00:43:43,370 --> 00:43:46,470
+كلها عبارة عن method function جاهزة ماعليك لغاية
+
+556
+00:43:46,470 --> 00:43:51,650
+تستبدل و تشوف ال function المناسبة لك ال noise
+
+557
+00:43:51,650 --> 00:43:57,470
+data بالنسبة
+
+558
+00:43:57,470 --> 00:44:02,790
+لل noise dataأحنا متفقين أن الـ noise data يعني ال
+
+559
+00:44:02,790 --> 00:44:06,190
+data موجودة مش مفقودة لكن ال data خطأ ال data
+
+560
+00:44:06,190 --> 00:44:12,430
+خاطئة والأسباب تقريبا نفس الأسباب السابقة ممكن ال
+
+561
+00:44:12,430 --> 00:44:15,530
+system أو أثناء ال data collection أصبح في عندي
+
+562
+00:44:15,530 --> 00:44:19,210
+filler معين في الآلة في ال thermometer أو في ال
+
+563
+00:44:19,210 --> 00:44:22,670
+data entry أصبح في عندي مشكلة يعني في لحظة من
+
+564
+00:44:22,670 --> 00:44:25,290
+اللحظات كان في عندي الميزان طلعت على الميزان اللي
+
+565
+00:44:25,290 --> 00:44:28,520
+هو بالدين يقول 200 كيلوطبعا نطي تجارة و شرحت
+
+566
+00:44:28,520 --> 00:44:31,540
+الجاكيت و طلعت تاني على الميزان لما قولي 91 مثلا
+
+567
+00:44:31,540 --> 00:44:34,600
+اه هي consistent طب القرائع اللي كانت في الأول ايه
+
+568
+00:44:34,600 --> 00:44:39,200
+سببها الجاكيته مية و مش عارف قديش كيلو الجاكيته
+
+569
+00:44:39,200 --> 00:44:43,680
+نشاطر الله ما شاء الله عليك او ممكن كان فيها 100
+
+570
+00:44:43,680 --> 00:44:47,860
+ألف دولار الجاكيته تمام؟
+
+571
+00:44:47,860 --> 00:44:50,940
+ممكن اتصار في عندي اثناء ال data transmission نقل
+
+572
+00:44:50,940 --> 00:44:56,160
+البيانات عبر الشبكة اتصار في عندي تغيير بسيطفممكن
+
+573
+00:44:56,160 --> 00:44:59,060
+يؤثر برضه الـ technology limitation أحيانا بتكون
+
+574
+00:44:59,060 --> 00:45:05,320
+ال value اللي بده تنقرأ هذه أكبر من .. يعني تخيل
+
+575
+00:45:05,320 --> 00:45:08,360
+أنه أنا فعليا قيمة عملها ال variable integer بال
+
+576
+00:45:08,360 --> 00:45:12,860
+Java و القيمة اللي إجت أكبر تمام؟ فوق الأربع
+
+577
+00:45:12,860 --> 00:45:16,160
+مليارة أو long integer فماشي بيصير فيها؟ بيجيب
+
+578
+00:45:16,160 --> 00:45:18,100
+لآخر قيمة من السالب .. من السالب طب المفروض
+
+579
+00:45:18,100 --> 00:45:22,340
+ماتكونش القيمة السالبة inconsistent naming
+
+580
+00:45:22,340 --> 00:45:27,460
+conventionالمعاني أو في التسميات صار في عندي عدم
+
+581
+00:45:27,460 --> 00:45:32,240
+أو في تضارب خلنا نقول في التفسير اللي موجود عندها
+
+582
+00:45:32,240 --> 00:45:36,000
+طبعا ال duplicate record يا شباب أحيانا برضه بدها
+
+583
+00:45:36,000 --> 00:45:38,640
+معالجة كنوع من الأخطاء اللي موجودة عندها كيف بده
+
+584
+00:45:38,640 --> 00:45:42,580
+يعالج ال noise data معالجة ال noise data إما طريقة
+
+585
+00:45:42,580 --> 00:45:48,480
+بيسميها ال binning أو ال regressionclustering أو
+
+586
+00:45:48,480 --> 00:45:51,080
+فعلياً بتعمل .. و هدول طبعا كلها آلات أو ممكن
+
+587
+00:45:51,080 --> 00:45:55,200
+algorithms و ممكن أن ادخل ال computer أو الآلة مع
+
+588
+00:45:55,200 --> 00:46:01,040
+الإنسان بالنسبة لل binning بالنسبة
+
+589
+00:46:01,040 --> 00:46:04,240
+لل binning ال binning مفهومها انه هروح على ال
+
+590
+00:46:04,240 --> 00:46:06,660
+attribute هذا اخد ال values تبع ال attribute اللي
+
+591
+00:46:06,660 --> 00:46:13,600
+عندي هان ارتبها رقم واحد ارتبها و بعدين اروح
+
+592
+00:46:13,600 --> 00:46:19,490
+اجسمها لفئات تعالى نشوف عفوافي موضوع البناء فالان
+
+593
+00:46:19,490 --> 00:46:26,350
+هذه ال data اللي قداني هي عبارة عن sorted data بدي
+
+594
+00:46:26,350 --> 00:46:32,870
+أكتبها بشكل مختلف هي مثلا خمس عشر أربعة تسعة واحد
+
+595
+00:46:32,870 --> 00:46:42,050
+وعشرين أربعة وعشرين تمانية وعشرين تمانية خمس عشر
+
+596
+00:46:42,050 --> 00:46:50,120
+موجودة احنا قلنا خمسة وعشرينوكمان مرة 21 26 و 34
+
+597
+00:46:50,120 --> 00:46:54,100
+هذه ال values الموجودة لعندي هي ال data هيك جاية
+
+598
+00:46:54,100 --> 00:46:57,540
+ال sequence بال sequence هذا في ال attribute أول
+
+599
+00:46:57,540 --> 00:47:02,680
+خطوة في موضوع ال binning بتعمل sort رتبتهم تصعدي
+
+600
+00:47:02,680 --> 00:47:06,640
+فترتبوا ال data الآن بالنسبة لل binning يا شباب
+
+601
+00:47:06,640 --> 00:47:13,030
+بإمكانك تشتغل على ال equal frequencyيعني تكون كل
+
+602
+00:47:13,030 --> 00:47:17,670
+مجموعة نفس العدد أو تشتغل على ال equal depth زي ما
+
+603
+00:47:17,670 --> 00:47:23,370
+صار في ال histogram تمام؟ تصير تحدد range وتعب كل
+
+604
+00:47:23,370 --> 00:47:26,570
+ال values اللي بتجي اوين؟ في ال range هذا بينما
+
+605
+00:47:26,570 --> 00:47:31,310
+بال equal frequency معناته كل range له نفس العدد
+
+606
+00:47:31,310 --> 00:47:35,210
+من ال elements كل value .. range له نفس العدد من
+
+607
+00:47:35,210 --> 00:47:40,310
+ال elementsفبجسمهم بالتساوي الان هنا في كلام بسيط
+
+608
+00:47:40,310 --> 00:47:46,150
+لازم تفهمه انا بدي احاول اتخلص من ال noise data او
+
+609
+00:47:46,150 --> 00:47:50,410
+قيمة خطأ تمام؟ انا فعليا القيمة الخطأ هذا مش جادر
+
+610
+00:47:50,410 --> 00:47:54,350
+امسكها لحد اللحظة انا مش عارف هي الأربعة ولا
+
+611
+00:47:54,350 --> 00:47:59,050
+الاربعة وتلاتين ولا التمانية ولا التسعة انا مش
+
+612
+00:47:59,050 --> 00:48:01,810
+عارف مين فيهم الخطألكن في الأخر في قيمة خبأة
+
+613
+00:48:01,810 --> 00:48:06,230
+موجودة وانا بدي أعملها smooth عادة الناس اللي
+
+614
+00:48:06,230 --> 00:48:09,690
+بيشتغلوا بالدهان بعد ما بدهان روح بعد فترة مش بيمر
+
+615
+00:48:09,690 --> 00:48:14,210
+إيده على ال surface بحيث بيحاول يحسوا ناعم بالدرجة
+
+616
+00:48:14,210 --> 00:48:18,640
+المطلوبة أو لأتمام؟ ليش بتطلعش بالعين؟ لأنه غير
+
+617
+00:48:18,640 --> 00:48:21,780
+كافي بالنسبة له في اللحظة اللي بيحس فيها خشونة
+
+618
+00:48:21,780 --> 00:48:25,360
+فبرجعاش بنعمها مرة تانية أو بيعملها bullish الآن
+
+619
+00:48:25,360 --> 00:48:29,280
+انت بقى بتعمل bullish بال-binning وحشتغل معاك على
+
+620
+00:48:29,280 --> 00:48:33,800
+ال equal frequency في ال equal frequency كل مكان
+
+621
+00:48:33,800 --> 00:48:39,240
+عدد ال bins أكثر وعناصر ال element فيها أكبر بكون
+
+622
+00:48:39,240 --> 00:48:43,620
+أحسن كهلكت بقولك كيف يعني لو أنا قلتلك هدول 12
+
+623
+00:48:43,620 --> 00:48:44,100
+element
+
+624
+00:48:46,920 --> 00:48:56,220
+12 element جسمليهم لـ 2 bins ماتوا 6 و 6، مصبوط؟
+
+625
+00:48:56,220 --> 00:49:03,920
+6 وهي 6 التانيات الآن اللي بيصير لاحقا ان كل 6
+
+626
+00:49:03,920 --> 00:49:07,180
+أرقام هدول سواء هدول أو هدول بيستبدلوا بقيمة واحدة
+
+627
+00:49:07,180 --> 00:49:12,720
+فقط لقيمة المتوسط الحسابي على سبيل المثال بينما لو
+
+628
+00:49:12,720 --> 00:49:25,990
+انا قلتلك اعملهم 4 binsبتصير في عندي تلتات كل
+
+629
+00:49:25,990 --> 00:49:31,070
+ما زاد عدد ال frequency ال bins ضمن ال range معين
+
+630
+00:49:31,070 --> 00:49:34,030
+وعدد ال element اللي موجودة في الداخل اكتر بكون
+
+631
+00:49:34,030 --> 00:49:38,010
+مناسب والمثال اللي انا هضربه شكلنا .. هتخلص
+
+632
+00:49:38,010 --> 00:49:40,970
+محاضرتنا لو احنا مش مخلصين هنا لو كان عندي مائة
+
+633
+00:49:40,970 --> 00:49:50,770
+ألف طالب و بتوقع الأعمار من عشرينلأربعين سنة وبدي
+
+634
+00:49:50,770 --> 00:49:54,990
+أعمل smoothing لل attribute هذا بدي أعمل binning
+
+635
+00:49:54,990 --> 00:50:01,690
+كام bin بتختارح عليا؟ 25 ألف على أربع فئات زميل
+
+636
+00:50:01,690 --> 00:50:04,730
+لهان بيقول أربع فئات أو أربع مجموعات كل واحدة
+
+637
+00:50:04,730 --> 00:50:08,170
+بتحتوي على 25 ألف العدد اللي بيقوله كويس ليش؟ لأن
+
+638
+00:50:08,170 --> 00:50:13,680
+في الآخر لما بيستخدم المتوسط الحسابيتمام؟ متواصل
+
+639
+00:50:13,680 --> 00:50:16,380
+الحساب بمعناته انا فعليا لو كانت ال value عالي
+
+640
+00:50:16,380 --> 00:50:21,500
+هتروح .. الآن واحد بين تلاتة تأثيره تلت واحد بين
+
+641
+00:50:21,500 --> 00:50:25,180
+عشرة .. على عشرة واحد بين مية و واحد من مية على
+
+642
+00:50:25,180 --> 00:50:28,020
+ميت ألف او على خمسة و عشرين ألف يكاد يكون يروح
+
+643
+00:50:28,020 --> 00:50:31,900
+باتجاه الصفر مصبوط في التأثير ال average طيب، لكن
+
+644
+00:50:31,900 --> 00:50:37,700
+أنا بقول الأربعة غير مناسبة تلاتة،
+
+645
+00:50:37,700 --> 00:50:42,960
+ليش تلاتة؟ عشرين، تلاتين، أربعين؟طب و ال 21 وين
+
+646
+00:50:42,960 --> 00:50:48,200
+راح؟ و 22 وين راح؟ و 25 وين راح؟ ما okay .. انا
+
+647
+00:50:48,200 --> 00:50:51,360
+برضه بقول غير كافي هذا الكلام انا بقول بدي أعملها
+
+648
+00:50:51,360 --> 00:50:56,620
+عشرين بن عشرين مجموعة عشرين .. واحد و عشرين ..
+
+649
+00:50:56,620 --> 00:50:59,380
+اتنين و عشرين .. من عشرين لاربعين في عندي واحد و
+
+650
+00:50:59,380 --> 00:51:03,220
+عشرين بن بدي أعملهم واحد و عشرين بن او عشرين بن ..
+
+651
+00:51:03,220 --> 00:51:08,040
+بينفع؟ اه بينفع جداش عدد كل element في .. عدد كل
+
+652
+00:51:08,040 --> 00:51:14,440
+bin ال element فيها جداش؟خمس ألاف، مائة ألف على
+
+653
+00:51:14,440 --> 00:51:19,620
+عشرين، خمس ألاف، واحد على خمس ألاف بتهيألي برضه
+
+654
+00:51:19,620 --> 00:51:23,480
+النسبة مقبولة، بتروح، مابتبينش، وبالتالي أنا بحط
+
+655
+00:51:23,480 --> 00:51:27,180
+الأعمار ضمن الأعمار المحدودة أو الدقيقة، بدل ما
+
+656
+00:51:27,180 --> 00:51:31,020
+يصير أبو تسعة عشر يصير خمسة أو عشرين أو عشرين،
+
+657
+00:51:31,020 --> 00:51:36,240
+وأبو سبعة عشر يصير عشرين، لأ، طب ما كل واحد يصير
+
+658
+00:51:36,240 --> 00:51:40,260
+إيش؟ ضمن ال range الحقيقي اللي هو فعليا ضمن السنة
+
+659
+00:51:40,260 --> 00:51:41,480
+الحقيقية اللي هو موجود فيها
+
+660
+00:51:47,190 --> 00:51:50,110
+مافيش حاسيب .. المين التبعاتهم هتكون نفس ال value
+
+661
+00:51:50,110 --> 00:51:54,110
+بيبطل في عندي outlier فيهم أو بيبطل noise ال noise
+
+662
+00:51:54,110 --> 00:51:56,990
+احنا بنتكلم عن قيمة اتنين تلاتة بس معقول تكون في
+
+663
+00:51:56,990 --> 00:52:03,630
+عندي خمس تلاف واحد من الميت ألف فيهم نفس الخطأ مش
+
+664
+00:52:03,630 --> 00:52:10,150
+منطق تمام؟ فبجسمتهم bins هيا ده bins لأربعة على
+
+665
+00:52:10,150 --> 00:52:13,370
+أربع element ل frequency تبعتهم أربعة بعد هيك بدي
+
+666
+00:52:13,370 --> 00:52:16,920
+أعبيها بال meanباخد المتوسط الحسابي للمجموعة
+
+667
+00:52:16,920 --> 00:52:20,480
+الأولى كان 9 المتوسط الحسابي للمجموعة التانية 23
+
+668
+00:52:20,480 --> 00:52:25,980
+المتوسط الحسابي للمجموعة التالتة 29 إيش حصل أنا
+
+669
+00:52:25,980 --> 00:52:29,720
+بعد ذلك يا شباب ال data هذه هترجع لأصلها ال 15 كان
+
+670
+00:52:29,720 --> 00:52:34,720
+في المجموعة الأولى صح صار مكانه 9 الأربعة في
+
+671
+00:52:34,720 --> 00:52:39,260
+المجموعة الأولى 9 9 21 كانت في المجموعة التانية
+
+672
+00:52:39,260 --> 00:52:46,050
+صارت 23 2328 كانت في المجموعة التالتة صارت 29
+
+673
+00:52:46,050 --> 00:52:50,290
+تمانية في المجموعة الأولى تسعة خمسة و عشرين في
+
+674
+00:52:50,290 --> 00:52:54,550
+المجموعة التانية تلاتة و عشرين الواحد و عشرين
+
+675
+00:52:54,550 --> 00:52:58,070
+تلاتة و عشرين ستة و عشرين في المجموعة التانية صارت
+
+676
+00:52:58,070 --> 00:53:01,870
+تسعة و عشرين وهذه صارت تسعة و عشرين هذه لأن انا
+
+677
+00:53:01,870 --> 00:53:05,590
+اشتغلت على اربعة pins و استخدمت المين الحل الآخر
+
+678
+00:53:05,590 --> 00:53:10,130
+ان ممكن انا اشتغل علىالـ boundaries شو هي ال
+
+679
+00:53:10,130 --> 00:53:15,290
+boundaries؟ انا هاجي اقول هيه بعد ال sort القيم ال
+
+680
+00:53:15,290 --> 00:53:18,390
+boundary هاي او القيم الحدودية هذه بدي احافظ عليها
+
+681
+00:53:18,390 --> 00:53:25,930
+و بدي اغير كل اللي في الداخل حسب هي أقرب لمين تسعة
+
+682
+00:53:25,930 --> 00:53:28,230
+أقرب لتسعة .. للأربعة ولا الخمس .. تمانية أربعة
+
+683
+00:53:28,230 --> 00:53:32,070
+ولا خمساتعاش؟ أربعة أربعة معناته دي أربعة تسعة
+
+684
+00:53:32,070 --> 00:53:36,670
+أربعة ولا خمساتعاش؟أربعة الفرق هنا خمسة و الفرق
+
+685
+00:53:36,670 --> 00:53:40,570
+هنا ستة معناته هنا أربعة و نفس الكلام واحد و عشرين
+
+686
+00:53:40,570 --> 00:53:45,070
+هذي هتظل واحد و عشرين و هذي هتصير خمسة و عشرين هذي
+
+687
+00:53:45,070 --> 00:53:49,450
+تمانية ستة و عشرين و هذي ستة و عشرين و أربعة و
+
+688
+00:53:49,450 --> 00:53:52,950
+تلاتين و هيك صار في عندي الأن أكتر من طريقة عشان
+
+689
+00:53:52,950 --> 00:53:58,650
+أتعامل مع ال pins وبهيك يصير في عندي data set
+
+690
+00:53:58,650 --> 00:54:04,010
+smooth لكن كمان مرة برجع بقولككل مكان عدد ال bins
+
+691
+00:54:04,010 --> 00:54:09,970
+أكبر ب frequent او ب items أكبر بيكون أفضل بالنسبة
+
+692
+00:54:09,970 --> 00:54:14,410
+لك لأنه بتحاول تحط ال data في الريال case تبعتها
+
+693
+00:54:14,410 --> 00:54:17,750
+وبهلك احنا بننهي محاضرتنا ان شاء الله و بنحاول
+
+694
+00:54:17,750 --> 00:54:20,410
+نكمل المحاضرة الجاية في الموضوع ال regression و ال
+
+695
+00:54:20,410 --> 00:54:20,950
+clustering
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4.srt
new file mode 100644
index 0000000000000000000000000000000000000000..e48d0f42eaeca0ea466954f442df4b465fc16fbe
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4.srt
@@ -0,0 +1,2733 @@
+1
+00:00:05,080 --> 00:00:07,260
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,260 --> 00:00:10,540
+اليوم إن شاء الله تعالى هنكمل في موضوع الـ data
+
+3
+00:00:10,540 --> 00:00:13,800
+cleaning كنا المحاضرة الماضية  اللي اشتغلنا فيه
+
+4
+00:00:13,800 --> 00:00:19,820
+موضوع الـ missing data واليوم إن شاء الله تعالى
+
+5
+00:00:19,820 --> 00:00:25,720
+هنشتغل في موضوع الـ noisy data الآن في الـ noisy
+
+6
+00:00:25,720 --> 00:00:29,060
+data قلنا إحنا الـ noise data مفهومها إن أنا في
+
+7
+00:00:29,060 --> 00:00:33,890
+عندي خطأ لسبب error معين، الـ error ده ممكن يكون
+
+8
+00:00:33,890 --> 00:00:37,950
+الناتج عنه من human entry أو فيه fault في الـ
+
+9
+00:00:37,950 --> 00:00:41,190
+instrument اللي أنا جمعت من خلالها الـ data، وقلنا
+
+10
+00:00:41,190 --> 00:00:44,430
+من أشهر الأمثلة اللي أنا بتكلم عليها على الـ noise
+
+11
+00:00:44,430 --> 00:00:50,130
+data، الراتب يكون بالسالب بغض النظر عن كانت إيش
+
+12
+00:00:50,130 --> 00:00:53,890
+الأخطاء، إيش الشغلات اللي أنا فعلياً محتاجها عشان
+
+13
+00:00:55,040 --> 00:00:59,320
+أعرض أو أتعامل مع الـ data set اللي موجودة عندنا
+
+14
+00:00:59,320 --> 00:01:01,900
+كيف بدي أعمل لها handling؟ من أشهر الطرق اللي
+
+15
+00:01:01,900 --> 00:01:05,680
+موجودة عندنا موضوع الـ binning، وما المقصود في الـ
+
+16
+00:01:05,680 --> 00:01:10,520
+binning؟ إنه أنا فعلياً بدي أروح أجسم الـ data set
+
+17
+00:01:10,520 --> 00:01:17,850
+تبعي لمجموعات، وكل مجموعة هتمثل، سيبني يا عمر، كل
+
+18
+00:01:17,850 --> 00:01:21,870
+مجموعة هتتمثل بقيمة معينة، القيمة دي ممكن تكون الـ
+
+19
+00:01:21,870 --> 00:01:25,050
+mean، ممكن تكون الـ median، أو ممكن تكون بقيمتين عشان
+
+20
+00:01:25,050 --> 00:01:28,150
+أمثل المجموعة لو اعتمدت على الـ boundaries، لكن في
+
+21
+00:01:28,150 --> 00:01:32,630
+شغل مهم جداً مع الـ binning، اللي هي الموضوع إنه أنا
+
+22
+00:01:32,630 --> 00:01:35,810
+فعلياً الـ partition تبع الـ bin، الـ partition تبعي
+
+23
+00:01:35,810 --> 00:01:39,770
+هاي أو الـ bin، قديش حجمها بده يكون؟ هل هتكلم على
+
+24
+00:01:39,770 --> 00:01:44,980
+equal frequency، يعني فعلياً كل الـ bins هيكونوا نفس
+
+25
+00:01:44,980 --> 00:01:50,480
+العدد، ولا هتكلم على الـ equal depth؟  باجي الـ equal
+
+26
+00:01:50,480 --> 00:01:54,120
+depth، أنا باجي فكرتها إنه أنا أجسم المجموعات تبع
+
+27
+00:01:54,120 --> 00:01:57,800
+الـ intervals، أجي أقول من عشرة مثلاً، من واحد لعشرة
+
+28
+00:01:57,800 --> 00:02:02,860
+الـ interval الأولى، من عشرة، عفواً من 11 لعشرين، الـ
+
+29
+00:02:02,860 --> 00:02:06,260
+interval الثانية، من واحد وعشرين لثلاثين، الـ
+
+30
+00:02:06,260 --> 00:02:10,360
+interval الثالثة، بغض النظر عن الأعداد اللي بدها
+
+31
+00:02:10,360 --> 00:02:14,160
+تكون في كل interval، هذه بنسميها إيش؟ equal
+
+32
+00:02:14,160 --> 00:02:18,060
+depth، بينها وبين الـ equal frequency، إن كل partition
+
+33
+00:02:18,060 --> 00:02:23,760
+في نفس العدد من الـ elements، لكن عشان فعلياً أطبق
+
+34
+00:02:23,760 --> 00:02:29,740
+أنا الـ binning، لازم في البداية أعمل sort للـ data
+
+35
+00:02:29,740 --> 00:02:36,350
+لو ما عملتش sort، كل شغلك غلط على الفاضي، لكن في موضوع
+
+36
+00:02:36,350 --> 00:02:40,370
+الـ equal depth، ممكن أنا اشتغل إذا أنا فاهم الـ
+
+37
+00:02:40,370 --> 00:02:44,830
+minimum والـ maximum تبعي قديش، بقدر أعمل استخدام
+
+38
+00:02:44,830 --> 00:02:48,210
+و عارف إيش الـ range اللي ممكن تخدمني الـ intervals
+
+39
+00:02:48,210 --> 00:02:50,430
+ممكن اشتغل، لأنه في الآخر بدي أصبح الـ
+
+40
+00:02:50,430 --> 00:02:53,410
+representation لكل رقم بالـ interval اللي موجودة
+
+41
+00:02:53,410 --> 00:02:57,890
+عندها، تعالوا نشوف مع بعض الـ binning، الآن العملية
+
+42
+00:02:57,890 --> 00:02:59,370
+الثانية اللي هتكلم عليها، الـ regression والـ
+
+43
+00:02:59,370 --> 00:03:02,030
+clustering، بعدين كنا إحنا بدنا مع الـ binning والـ
+
+44
+00:03:02,030 --> 00:03:05,570
+الرقم واحد، كنا بدنا نعمل sort، وبالمثال هذا هشتغل
+
+45
+00:03:05,570 --> 00:03:09,510
+على equal frequency، equal frequency قال لي أنا الآن
+
+46
+00:03:09,510 --> 00:03:10,990
+بدي اشتغل على three bins
+
+47
+00:03:19,150 --> 00:03:22,830
+الآن يا جماعة الخير، لو كان في عندي plus أو minus
+
+48
+00:03:22,830 --> 00:03:26,890
+one في الـ interval، يعني لو كانت الـ interval تبعي
+
+49
+00:03:26,890 --> 00:03:34,150
+هذه 13، رقم 27، مش big deal أو مش مشكلة، إن الرقم
+
+50
+00:03:34,150 --> 00:03:38,300
+الأخير هذا ينضاف على الـ bin الأخيرة، طيب لو كان في
+
+51
+00:03:38,300 --> 00:03:43,000
+عندي ثلاث أرقام، مخصصة، بن مخصصة، رقم واحد ما عندي مشكلة
+
+52
+00:03:43,000 --> 00:03:47,360
+تكون الـ bin الأخيرة بأقل من digit، خصوصاً لما إحنا
+
+53
+00:03:47,360 --> 00:03:50,720
+بنتكلم، أنا بدي أعمل handling لـ attribute، الـ
+
+54
+00:03:50,720 --> 00:03:53,740
+attribute مش اثنا عشر value، اللي فيه ثلاثة عشر، ممكن
+
+55
+00:03:53,740 --> 00:03:57,100
+يكون فيه ثلاثة عشر ألف value، فلما فعلياً أجي أقول
+
+56
+00:03:57,100 --> 00:04:01,980
+والله بدي خصّه عندي مئة قيمة من الألف، مش قضية، لسه ما
+
+57
+00:04:01,980 --> 00:04:06,200
+زال عندي فيه ٩٠٠ قيمة موجودات، وبأثرهم بشكل كويس، فالخطوة رقم واحد بعد ما أنا أعمل
+
+58
+00:04:06,200 --> 00:04:10,160
+sort، أجسم المجموعات، عملت sort، بدي equal frequency
+
+59
+00:04:10,160 --> 00:04:15,140
+أربعة، هاي واحدة، اثنين، ثلاثة، الخطوة رقم واحد sort
+
+60
+00:04:15,140 --> 00:04:23,160
+الخطوة رقم واحد sort، الخطوة رقم اثنين تجسيمهم أو الـ partitioning
+
+61
+00:04:23,160 --> 00:04:25,860
+الخطوة رقم اثنين، تجسيمهم أو الـ partitioning
+
+62
+00:04:25,860 --> 00:04:32,120
+تبعتهم لمجموعات، الآن بعد هيك، القيام هذه مين فيها
+
+63
+00:04:32,120 --> 00:04:36,700
+الـ noise؟ أنا فعلياً مش عارف هل هي الأربعة هي الـ
+
+64
+00:04:36,700 --> 00:04:39,680
+noise، ولا الأربعة والثلاثين هي الـ noise، أنا فعلياً
+
+65
+00:04:39,680 --> 00:04:43,580
+مش عارفها، لكن هذه الأربعة أو الأربعة والثلاثين، أنا
+
+66
+00:04:43,580 --> 00:04:49,120
+فعلياً هخلص منها من خلال استبدالها بإيش؟ مع كل bin
+
+67
+00:04:49,120 --> 00:04:53,360
+الآن ممكن أستبدلها بالقيمة الـ mean أو الـ median
+
+68
+00:04:53,360 --> 00:04:58,920
+أو الـ value .. الـ .. عفواً القيم الـ boundaries، لو
+
+69
+00:04:58,920 --> 00:05:03,160
+أنا بدأت أعتمد على الـ mean، هضطر أجمع ثمانية زائد
+
+70
+00:05:03,160 --> 00:05:06,140
+أربعة .. أربعة زائد ثمانية زائد تسعة زائد خمسة عشر
+
+71
+00:05:06,140 --> 00:05:10,640
+على أربعة، وأروح أستبدلهم، طلعت تسعة، بالتالي المجموعة
+
+72
+00:05:10,640 --> 00:05:15,640
+الأولى كل element فيها بده يصير تسعة، كل element
+
+73
+00:05:15,640 --> 00:05:18,900
+فيها بده يصير تسعة، المجموعة الثانية، المتوسطة
+
+74
+00:05:18,900 --> 00:05:22,670
+الحسابية تبعها كانت ثلاثة وعشرين، ومن ثم الـ .. و
+
+75
+00:05:22,670 --> 00:05:26,050
+هتكون ثلاثة وعشرون، والاخيرة تسعة وعشرون وهكذا
+
+76
+00:05:26,050 --> 00:05:31,470
+لو أنا بدي اشتغل على الـ boundaries، مفهوم الـ
+
+77
+00:05:31,470 --> 00:05:36,270
+boundaries، هيهم الأربعة والخمسة عشر، هدول للـ bin
+
+78
+00:05:36,270 --> 00:05:41,130
+الأولى أو للـ partition الأولى، الآن الأربعة والخمسة عشر
+
+79
+00:05:41,130 --> 00:05:44,550
+هدول هيكونوا ثابتات، لاحظ في الـ mean والـ median أنا
+
+80
+00:05:44,550 --> 00:05:48,010
+كل الـ partition، الـ values تبع الـ partition
+
+81
+00:05:48,010 --> 00:05:51,970
+بستبدلها بقيمة واحدة، مظبوط؟ اللي كانت بالـ mean أو
+
+82
+00:05:51,970 --> 00:05:56,190
+الـ median، التسعة استبدلت كل القيم، لكن مع الـ part
+
+83
+00:05:56,190 --> 00:05:59,570
+.. مع الـ boundaries point، بصير .. بتكلم على الـ
+
+84
+00:05:59,570 --> 00:06:04,830
+partition الواحد في قيمتين، الـ minimum والـ maximum
+
+85
+00:06:04,830 --> 00:06:10,090
+الآن باجي بدور على القيم اللي في النص، ثمانية أقرب
+
+86
+00:06:10,090 --> 00:06:14,240
+لأي boundary، وبعملها replacement للـ boundary الأقرب
+
+87
+00:06:14,240 --> 00:06:21,660
+٨ أقرب للـ ٤ أكيد، ومن ثم replace  ٩ للـ ٤، لأن الفرق
+
+88
+00:06:21,660 --> 00:06:26,380
+بينها وبين ٤ و بين ١٥ و بين ٦، فهي أقرب للـ ٤ وبالتالي
+
+89
+00:06:26,380 --> 00:06:31,380
+بعملها replacement بالـ ٤، الآن نفس الـ ٢١، و٢١ و٢٤
+
+90
+00:06:31,380 --> 00:06:36,120
+يصير ٢٥، هنا أقرب وهكذا، تمام؟ هذا مفهوم الـ
+
+91
+00:06:36,120 --> 00:06:40,200
+boundaries، لكن تعالوا نشوف مثال، نبدأ فيه من البداية
+
+92
+00:06:40,200 --> 00:06:44,240
+خالص، هنشتغل فيه كالتالي، حاجة أقول أنا في عندي مثلاً
+
+93
+00:06:44,240 --> 00:06:58,400
+القيم بسيطة: سبعة، ثلاثة، ثمانية، سالب واحد، اثنين، خمسة،
+
+94
+00:06:58,400 --> 00:07:09,880
+عشرة، تسعة، ستة، أربعة، اثنا عشر، وهي كمان مرة ثلاثة، مش
+
+95
+00:07:09,880 --> 00:07:14,420
+هتفرق معايا الآن
+
+96
+00:07:14,420 --> 00:07:19,160
+أنا بدي اشتغل أو بدي أعمل partition أو بدي أستخدم
+
+97
+00:07:19,160 --> 00:07:23,460
+two partitions، الخطوة
+
+98
+00:07:23,460 --> 00:07:26,200
+رقم واحد، طبعاً كمان مرة بيتكلم عن الـ equal
+
+99
+00:07:26,200 --> 00:07:31,700
+frequency، equal frequency، هشتغل الآن، أول خطوة رقم
+
+100
+00:07:31,700 --> 00:07:44,830
+واحد sort، هي سالب واحد، اثنين، ثلاثة، كمان ثلاثة عندي
+
+101
+00:07:44,830 --> 00:07:57,970
+أربعة، خمسة، ستة، سبعة، ثمانية، تسعة، عشرة، هيك الـ
+
+102
+00:07:57,970 --> 00:08:01,990
+data صارت sorted، أنا بتكلم على equal frequency
+
+103
+00:08:01,990 --> 00:08:04,210
+equal frequency على two partitions، يعني أنا بدي
+
+104
+00:08:04,210 --> 00:08:12,630
+أعدّهم من النص، ١، ٢، ٣، ٤، ٥، ٦، ٧، ٨، ٩، ١٠، ١١، ١٢، ٦ ما في
+
+105
+00:08:12,630 --> 00:08:17,290
+عندي مشكلة، ١، ٢، ٣، ٤، ٥، ٦ هي الـ partition أو الـ bin
+
+106
+00:08:17,290 --> 00:08:25,930
+الأولى، وهي الـ bin الثانية، الآن بالـ mean، لو أنا بدي
+
+107
+00:08:25,930 --> 00:08:30,610
+أشتغل بالـ mean، بدي .. ما في عندي مشكلة، بدي أجمع، بدي
+
+108
+00:08:30,610 --> 00:08:34,850
+أجمع العناصر وأجسمهم على عددهم، على ٦، مظبوط؟ بقى
+
+109
+00:08:34,850 --> 00:08:38,930
+بالـ median، القيمة اللي بتيجي في النص، بما أن
+
+110
+00:08:38,930 --> 00:08:42,570
+الأعداد اللي عندي هنا، أعداد، عدد العناصر أو عدد
+
+111
+00:08:42,570 --> 00:08:46,770
+الـ bin زوجي، ما في قيمة في النص، فهجيب الـ average
+
+112
+00:08:46,770 --> 00:08:51,410
+تبع القيمتين اللي في النص، ثلاثة وثلاثة، بقى أنا
+
+113
+00:08:51,410 --> 00:08:55,490
+هتكلم بالـ median، ثلاثة
+
+114
+00:08:55,490 --> 00:09:00,830
+وثلاثة، ستة على اثنين، ثلاثة، معناته الآن كل الـ bin
+
+115
+00:09:00,830 --> 00:09:05,450
+هذه، بدون يعملها replacement بمين؟ بثلاثة ..
+
+116
+00:09:05,450 --> 00:09:07,710
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة
+
+117
+00:09:07,710 --> 00:09:07,950
+.. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+118
+00:09:07,950 --> 00:09:08,030
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+119
+00:09:08,030 --> 00:09:08,990
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+120
+00:09:08,990 --> 00:09:10,670
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+121
+00:09:10,670 --> 00:09:11,390
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+122
+00:09:11,390 --> 00:09:19,130
+ثلاثة .. ثلاثة .. ثلاثة .. ثلاثة ..
+
+123
+00:09:19,130 --> 00:09:25,690
+ثلاثة .. ثلاثة .. تل
+
+124
+00:09:26,510 --> 00:09:30,190
+أقول لك شغلة، حتى لو كانت، لو كانت الـ value تبعي
+
+125
+00:09:30,190 --> 00:09:36,070
+هذه مش اثنا عشر، بدي أخليها واحد وعشرين عشان يكون في
+
+126
+00:09:36,070 --> 00:09:42,950
+عندي outlier حقيقي وأنا بدي إيش أخلص منه، الآن
+
+127
+00:09:42,950 --> 00:09:46,790
+مين عند الـ error أو الـ error واضح وين يا شباب؟ واضح
+
+128
+00:09:46,790 --> 00:09:51,710
+عندي في السالب، لأن القيم كلهم موجبة، كل القيم موجبة
+
+129
+00:09:51,710 --> 00:09:56,070
+باستثناء السالب واحد، وكلها قريبة من العشرة
+
+130
+00:09:56,070 --> 00:10:01,770
+باستثناء الـ ٢١، هاي ليش أنا جيبت المثال ده بالتحديد؟
+
+131
+00:10:01,770 --> 00:10:05,190
+عشان أقول لك انتبه، مش كل الخيارات ممكن تكون مناسبة
+
+132
+00:10:05,190 --> 00:10:10,310
+لك، الآن بالـ mean والـ median أنا خلصت وانحلت تمام
+
+133
+00:10:10,310 --> 00:10:14,070
+و راحت الـ error زالت، لكن لو أنا بدأت أشتغل بالـ
+
+134
+00:10:14,070 --> 00:10:17,190
+boundary point، بدأت أشتغل على الـ boundaries
+
+135
+00:10:26,090 --> 00:10:29,110
+حيظلوا موجودات في وجهي، حيظلوا موجودات في الـ data
+
+136
+00:10:29,110 --> 00:10:33,450
+set، على الرغم إن هما الـ outliers اللي أنا كنت عمال
+
+137
+00:10:33,450 --> 00:10:37,250
+بحاول أخلص منه، أو بين جثتين الـ noise data اللي كنت
+
+138
+00:10:37,250 --> 00:10:42,510
+بحاول أخلص منها، مظبوط؟ فأنت بدك تنتبه، تنتبه إنه
+
+139
+00:10:42,510 --> 00:10:47,130
+أنا مش كل واحدة بتنفع معايا، الآن اللي حيصير كالتالي:
+
+140
+00:10:47,130 --> 00:10:52,230
+سالب واحد، سالب اثنين، أقرب لسالب واحد ولا للخمسة؟ لأ
+
+141
+00:10:52,230 --> 00:10:56,470
+سالب واحد، معناته هي سالب واحد، سالب واحد، الثلاثة
+
+142
+00:10:56,470 --> 00:11:03,870
+لسالب واحد ولا خمسة؟ لأ، خمسة، خمسة، خمسة، خمسة، هنا ستة
+
+143
+00:11:03,870 --> 00:11:12,450
+هنا ستة، ستة، ستة، ستة، ستة، ستة، واحد وعشرين، لاحظ الـ
+
+144
+00:11:12,450 --> 00:11:14,910
+outlier، بدل ما أخلص منها أو الـ noise ده بدل ما
+
+145
+00:11:14,910 --> 00:11:19,960
+أخلص منها، عززتها كمان واحدة، فأنت بقت تنتبه مش دائماً
+
+146
+00:11:19,960 --> 00:11:25,020
+الخيارات هذه بتكونش perfect بالنسبة لي، فأنت بتشوف
+
+147
+00:11:25,020 --> 00:11:29,380
+الخيار الأمثل في التعامل، تمام؟ وبالتالي خلصنا من
+
+148
+00:11:29,380 --> 00:11:32,480
+موضوع الـ binning، طبعاً الـ binning زي ما أنت شايف
+
+149
+00:11:32,480 --> 00:11:36,360
+موضوع بسيط، سهل، ممكن أنا أسيطر عليه بشوية انتباه
+
+150
+00:11:36,360 --> 00:11:41,480
+وتركيز في التعامل، الطريقة الثانية إن أخلص من الـ
+
+151
+00:11:41,480 --> 00:11:45,040
+noise data، إن أنا أعمل regression، شو يعني
+
+152
+00:11:45,040 --> 00:11:50,520
+regression؟ هي عبارة عن الـ predictive task، مظبوط؟
+
+153
+00:11:50,520 --> 00:11:55,340
+بحيث إن أصل على formula أو model يقدر يتنبأ بالقيم
+
+154
+00:11:55,340 --> 00:11:59,720
+زي ما بقول محمد، by value، الآن لو أنا أجيت وقلت لك
+
+155
+00:11:59,720 --> 00:12:05,860
+النقاط هذه المرسومة قدامي، هي بتمثل الـ data set
+
+156
+00:12:05,860 --> 00:12:11,260
+تبعي، لاحظ النقاط كلها جاية تمام حوالين الخط هذا
+
+157
+00:12:11,260 --> 00:12:19,800
+باستثناء النقطة اللي جاية هنا، بصراحة؟ ليش جاية هنا؟ لأن
+
+158
+00:12:19,800 --> 00:12:23,520
+فيها noise، القيمة تبعها فيها outlier أو فيها
+
+159
+00:12:23,520 --> 00:12:28,520
+noise معينة خلتها بعيدة، واحدة من الطرق تبع الـ
+
+160
+00:12:28,520 --> 00:12:32,140
+noise handling أو noise data handling، إن أنا أعمل
+
+161
+00:12:32,140 --> 00:12:35,000
+estimation أو أعمل prediction للـ regression
+
+162
+00:12:35,000 --> 00:12:41,300
+function أو الـ line model تبعي، الـ line function
+
+163
+00:12:41,300 --> 00:12:45,200
+تبعي، بحيث إن أنا أرسم الخط المستقيم اللي بيمثل كل
+
+164
+00:12:45,200 --> 00:12:51,010
+الـ data، أرسم خط مستقيم يمثل كل الـ data، والخط
+
+165
+00:12:51,010 --> 00:12:56,230
+المستقيم هذا له معادلة، الآن بناءً على قيمة X اللي
+
+166
+00:12:56,230 --> 00:13:01,190
+عندي هنا اللي هي ثابتة، بقدر أعمل estimation لمين؟
+
+167
+00:13:01,190 --> 00:13:06,250
+لقيمة Y الصحيحة، هل هذا أنا بدي أطبقه على كل الـ
+
+168
+00:13:06,250 --> 00:13:16,160
+data؟ لأ، فقط على الـ noise data، noisy point، وبالتالي
+
+169
+00:13:16,160 --> 00:13:20,580
+هذه القيمة هتطلع وين؟ معايا على الخط، وبالتالي
+
+170
+00:13:20,580 --> 00:13:27,120
+هتاخد Y جديدة، الفكرة إن الوصول للـ regression model
+
+171
+00:13:27,120 --> 00:13:36,520
+هذا
+
+223
+00:17:21,400 --> 00:17:26,250
+الحامل للذكور هل هذا وارد؟ في عمر واحد عاجل بيفكر
+
+224
+00:17:26,250 --> 00:17:30,070
+يبني rule زي هيك عشان يدور لأنه الأصل لأ، لكن في
+
+225
+00:17:30,070 --> 00:17:34,270
+لحظة من اللحظات ممكن أنا أضطر أكتب rule عشان يحل
+
+226
+00:17:34,270 --> 00:17:37,750
+أو يدور لي على الحالات اللي زي هذه، بس فعلياً مش
+
+227
+00:17:37,750 --> 00:17:42,370
+هتلاقيه بسهولة، أنت بتعمل development الشغل ال
+
+228
+00:17:42,370 --> 00:17:47,490
+manual أحسن لأن هذه الـ cases قليلة جداً، تمام؟
+
+229
+00:17:47,490 --> 00:17:52,880
+وغالباً هتختلف من حالة لحالة، لكن احنا بنقول لو فرضا
+
+230
+00:17:52,880 --> 00:17:57,200
+أن الحالة هذه ممكن تتكرر، إيش بروح بساوي؟ ممكن
+
+231
+00:17:57,200 --> 00:18:00,440
+أبني لها system بسيط يعمل الـ check تماماً زي اللي
+
+232
+00:18:00,440 --> 00:18:05,240
+بتكلم عن الـ spelling check programs، الآن الخطأ
+
+233
+00:18:05,240 --> 00:18:08,720
+الإملائي أثناء الكتابة، إيش هو؟ مش هو عبارة عن برنامج
+
+234
+00:18:08,720 --> 00:18:13,780
+عنده موجود الكلمات بين جثين الـ rules، وبروح بصير
+
+235
+00:18:13,780 --> 00:18:18,760
+يقارنها، بعضهم راح يقول لك في عندك grammar check، بدي
+
+236
+00:18:18,760 --> 00:18:21,720
+أعرف قوانين الكتابة وصياغة اللغة، وهنا نفس الكلام
+
+237
+00:18:21,720 --> 00:18:28,320
+بدي أصير أنا أكون عارف وين الـ inconsistency بتصير
+
+238
+00:18:28,320 --> 00:18:30,600
+بين الـ attributes، وأصير أحطها في rules عشان يعملها
+
+239
+00:18:30,600 --> 00:18:34,740
+detection، لكن هذا الكلام صعب وصعب جداً، احنا بدنا
+
+240
+00:18:34,740 --> 00:18:38,460
+نعمل focus على الشغل، لكن ممكن المعنى والهدا مهم
+
+241
+00:18:38,460 --> 00:18:43,440
+جداً، عشان هيك، عشان هيك أول واحدة في معالج الـ
+
+242
+00:18:43,440 --> 00:18:49,580
+inconsistent data، الـ common sense، تستخدم المنطق
+
+243
+00:18:49,580 --> 00:18:53,980
+السليم تبعك في التفكير، مش بس الإحساس، أقول اه والله
+
+244
+00:18:53,980 --> 00:18:58,660
+okay، male و pregnant، أنا حاسس أنه مش صحيح المعلومة
+
+245
+00:18:58,660 --> 00:19:02,720
+لأ، الـ common sense، مقصودها أن البديهيات بالنسبة
+
+246
+00:19:02,720 --> 00:19:06,780
+اليك، خلاص في مشكلة هنا، male مستحيل يكون pregnant
+
+247
+00:19:06,780 --> 00:19:11,440
+أو يكون الـ gender عندي مدخل خطأ وهو female صحيح
+
+248
+00:19:11,440 --> 00:19:15,500
+ولا لأ؟ وبالتالي هذه الحالتين موجودات، لكن لو
+
+249
+00:19:15,500 --> 00:19:23,560
+طلعت في السجل كله، ياتهدخل مدرسة للذكور ومحطوط بعد
+
+250
+00:19:23,560 --> 00:19:30,920
+فترة pregnant، لأ مستحيل، فكلمة pregnant هي الخطأ
+
+251
+00:19:30,920 --> 00:19:35,120
+وبالتالي بدنا نشيلها من العناصر الموجودة، الفكرة
+
+252
+00:19:35,120 --> 00:19:38,020
+كمان مرة يا جماعة الخير، الـ common sense لازم تكون
+
+253
+00:19:38,020 --> 00:19:41,880
+حاضرة، احنا عندنا مشاكل كبيرة مع الأنظمة كعرب، لما
+
+254
+00:19:41,880 --> 00:19:42,840
+أتكلم بالـ hands up
+
+255
+00:19:45,990 --> 00:19:51,190
+حمزة مكسورة، حمزة مفتوحة، حمزة مضمومة، والإنجليز
+
+256
+00:19:51,190 --> 00:19:54,710
+كذلك عندهم نفس المشاكل، الأجانب في عند الـ Dennis
+
+257
+00:19:54,710 --> 00:20:00,050
+وDennis، وهاي قرأها عن هاي، واحد يقول الـ Man names
+
+258
+00:20:00,050 --> 00:20:02,690
+أساساً ما بديش هي في الـ mining task، بقول لك كلامك صح
+
+259
+00:20:02,690 --> 00:20:06,390
+بس هذا الكلام وارد عشان تقدر توافق، على سبيل المثال
+
+260
+00:20:06,390 --> 00:20:10,210
+في الـ integration، لما نيجي كمان شوية بدي أجمع two
+
+261
+00:20:10,210 --> 00:20:13,470
+datasets مع بعضهم، لجيت رقم واحد، اثنين، ثلاثة،
+
+262
+00:20:13,470 --> 00:20:18,130
+أربعة، واسمه Dennis، الاسم الأول ورقمه في الـ Data 6
+
+263
+00:20:18,130 --> 00:20:22,550
+اللي جاي من وزارة الصحة 1234، والاسم مكتوب Dennis
+
+264
+00:20:22,550 --> 00:20:25,250
+بالـ Spelling، التاني هقول لأ لأ، هدول الـ Two
+
+265
+00:20:25,250 --> 00:20:30,110
+Records مش نفسهم، لأ هما نفسهم ومافيش بينهم تعارض
+
+266
+00:20:30,110 --> 00:20:35,610
+لأ، ما هو في شغلات بتأكد أن ممكن الـ Data تكون هذه
+
+267
+00:20:35,610 --> 00:20:42,110
+غلط، صح؟ يعني الآن لجيت Two Records نفس الـ ID
+
+268
+00:20:42,110 --> 00:20:44,890
+1234، وواحد خليل واثنين حسن
+
+269
+00:20:47,870 --> 00:20:52,910
+لأ، في غلط، لكن لما ألاقي هذا Dennis وDennis ما فيه
+
+270
+00:20:52,910 --> 00:20:56,310
+غلط، صح؟ فيه difference في الـ value تبع الـ name
+
+271
+00:20:56,310 --> 00:21:01,770
+هنا، لكنه فعلاً ضمن الـ common sense، هذا نفس الاسم،
+
+272
+00:21:01,770 --> 00:21:08,430
+إيش يا محمد؟ تمام؟ طبعاً،
+
+273
+00:21:08,430 --> 00:21:11,010
+بكتب، أدور على الـ inappropriate values، القيم الغير
+
+274
+00:21:11,010 --> 00:21:16,010
+منطقية أو الغير متاحة،
+
+275
+00:21:16,010 --> 00:21:16,290
+طيب
+
+276
+00:21:20,090 --> 00:21:24,030
+كيفك تصلحها؟ كيفك تصلح الـ inconsistent data؟
+
+277
+00:21:24,030 --> 00:21:30,910
+Manual، بعد ما أحددها، بدي أحددها وأصلحها، إيش؟
+
+278
+00:21:30,910 --> 00:21:34,190
+Manual، يعني لازم أرجع للـ documents وأقارن الـ
+
+279
+00:21:34,190 --> 00:21:38,090
+data اللي موجودة عندها، تخيل، بقول لك أنت لو روحت على
+
+280
+00:21:38,090 --> 00:21:44,970
+زبائن بنك معين، ولجيت 5% منهم كلهم مولودين في 11/2
+
+281
+00:21:48,490 --> 00:21:51,850
+صدفة حلوة؟ لأ، أنا بقول لك في خطأ و..و..خطأ أكيد
+
+282
+00:21:51,850 --> 00:21:56,090
+يعني عويجي يقول لي والله الطلاب المسجلين عشرين
+
+283
+00:21:56,090 --> 00:21:58,570
+فالمئة من الطلاب الموجودين بيننا الآن في المحاضرة
+
+284
+00:21:58,570 --> 00:22:01,290
+في الـ data mining، من مورد الف وتسعمائة وخمسة وعشرين
+
+285
+00:22:01,290 --> 00:22:04,790
+مستحيل
+
+286
+00:22:06,190 --> 00:22:10,250
+كيف أتجمع كلهم؟ هل هم..الآن تقول لك والله هذا
+
+287
+00:22:10,250 --> 00:22:13,290
+التاريخ..هذا التاريخ..يعني لكل واحد فيه تاريخ
+
+288
+00:22:13,290 --> 00:22:18,590
+ميلاد مستقل، ولا لأ؟ تيجي تقول لي عشان صدفة غريبة، بما
+
+289
+00:22:18,590 --> 00:22:22,030
+أنها غريبة، بروح أتحقق منها، طب أتحقق منها كيف؟ بدوا
+
+290
+00:22:22,030 --> 00:22:27,870
+تايم الشباب؟ هاتوا هوياتكم، مش هيك اللي حيصير؟ هرجع
+
+291
+00:22:27,870 --> 00:22:31,250
+للـ document الحقيقي عشان أنا أعمل الـ check على الـ
+
+292
+00:22:31,250 --> 00:22:35,570
+values اللي موجودة، من الشغلات اللي بتساعدني في فهم
+
+293
+00:22:36,920 --> 00:22:40,520
+الـ Consistency تبع الـ Data، وتحديد الـ
+
+294
+00:22:40,520 --> 00:22:46,440
+Inconsistent Values، الـ Metadata، ليش؟
+
+295
+00:22:46,440 --> 00:22:48,820
+لأن في الـ Metadata، باجي أتكلم على الـ Domain و
+
+296
+00:22:48,820 --> 00:22:51,300
+الـ Range، والـ Dependency، والـ Distribution تبع
+
+297
+00:22:51,300 --> 00:22:54,180
+الـ Attributes، بيجي يقول لي والله عندي الـ salary
+
+298
+00:22:54,180 --> 00:22:59,320
+عبارة عن number، تتراوح الأرقام أو الـ values، الـ
+
+299
+00:22:59,320 --> 00:23:03,180
+minimum salary 1500، والـ maximum salary 2700
+
+300
+00:23:06,210 --> 00:23:14,850
+لجيت فيه salary مدخل 3700، inconsistent، ليش؟ لأنها
+
+301
+00:23:14,850 --> 00:23:18,810
+طلعت برا..برا الـ rule اللي حدد لي الـ range
+
+302
+00:23:18,810 --> 00:23:24,710
+تمام؟ وبالتالي فهم الـ metadata بيساعدني في تحديد
+
+303
+00:23:24,710 --> 00:23:31,690
+الـ inconsistent data، بدي أفحص الـ field overloading
+
+304
+00:23:31,690 --> 00:23:36,380
+أو الـ field overloading، شو يعني overloading؟ بالـ
+
+305
+00:23:36,380 --> 00:23:40,020
+object oriented، شو يعني overloading؟ overloading
+
+306
+00:23:40,020 --> 00:23:43,460
+method، أنه
+
+307
+00:23:43,460 --> 00:23:47,120
+في عندي method بتحمل نفس الاسم، لكن الـ signature
+
+308
+00:23:47,120 --> 00:23:50,840
+تبعها مختلفة، شو يعني الـ signature؟ إما الـ return
+
+309
+00:23:50,840 --> 00:23:55,880
+value أو الـ parameter، متفقين؟ طيب يعني شو يعني
+
+310
+00:23:55,880 --> 00:23:59,840
+overloading attribute؟ أنه الـ attribute هذا ظهر
+
+311
+00:23:59,840 --> 00:24:04,950
+بشكل مختلف، مع أنه الـ values تبعته إيش؟ متشابهة، يعني
+
+312
+00:24:04,950 --> 00:24:10,070
+لجيت أنا عندي فعلياً الـ age، لجيت الـ age ولجيت
+
+313
+00:24:10,070 --> 00:24:16,310
+تاريخ الميلاد، المفروض الاثنين بيدوني نفس المعلومة
+
+314
+00:24:16,310 --> 00:24:20,730
+ولا شو رأيكم؟ اه، هو أنا هكتفي بواحد يا أهي أبو
+
+315
+00:24:20,730 --> 00:24:25,430
+حينها، لكن الآن عشان أنا أفحص الـ consistency، ممكن
+
+316
+00:24:25,430 --> 00:24:31,090
+هذا يخدمني في الموضوع، ولا شو رأيكم؟ الـ uniqueness
+
+317
+00:24:31,090 --> 00:24:36,480
+rules، كذلك أنه لما أنا بكون فاهم الـ description صح
+
+318
+00:24:36,480 --> 00:24:40,840
+وبيجي بقول لي الـ attribute الفلاني، كل الـ values اللي
+
+319
+00:24:40,840 --> 00:24:46,500
+فيه unique، تمام؟ كل الـ values اللي فيه unique
+
+320
+00:24:46,500 --> 00:24:52,640
+ما بتتكرر، وبلاقي فيه تكرار، وهذا مؤشر أنه صار في
+
+321
+00:24:52,640 --> 00:24:56,420
+عندي شغل غلط في الـ dataset، هل الروهات دي duplicated
+
+322
+00:24:56,420 --> 00:25:00,680
+ولا فعلياً في عندي عناصر عاملة بتظهر في الآخر
+
+323
+00:25:00,680 --> 00:25:03,460
+ممكن يكون عند بعض الـ commercial tools اللي بتعمل
+
+324
+00:25:03,460 --> 00:25:06,060
+analysis للـ data، وبتجيب لي العلاقة بين الـ values
+
+325
+00:25:06,060 --> 00:25:11,800
+الـ different values، لكن مجالاتها قليلة جداً زي ما
+
+326
+00:25:11,800 --> 00:25:17,180
+قلنا سابقاً، يعني بكل بساطة، بكل بساطة الـ
+
+327
+00:25:17,180 --> 00:25:22,540
+inconsistent data بتحتاجك أنت as a human أكثر ما
+
+328
+00:25:22,540 --> 00:25:27,940
+بتحتاج machine أو program عشان يحددها ويصلحها
+
+329
+00:25:27,940 --> 00:25:37,240
+تمام؟ تمام يا شباب؟ تمام، تمام، ننتقل للنقطة اللي
+
+330
+00:25:37,240 --> 00:25:41,540
+بعد هيك، احنا قلنا للوصول للـ knowledge presentation
+
+331
+00:25:41,540 --> 00:25:52,190
+كم خطوة بدي امشي؟ ايوه؟ سبعه: data cleaning، data
+
+332
+00:25:52,190 --> 00:25:57,270
+integration، data selection، data transformation،
+
+333
+00:25:57,270 --> 00:26:00,890
+data mining، الـ transformation بالمناسبة قبل الـ
+
+334
+00:26:00,890 --> 00:26:04,330
+selection، مش قضية كتير، data mining، knowledge
+
+335
+00:26:04,330 --> 00:26:09,570
+knowledge evaluation، أو better evaluation، و
+
+336
+00:26:09,570 --> 00:26:14,210
+knowledge presentation، تمام، الآن بدنا ننتقل للـ
+
+337
+00:26:14,210 --> 00:26:19,460
+task الثانية مباشرة، اللي هي الـ data integration
+
+338
+00:26:19,460 --> 00:26:24,140
+يعني احنا بفهم بناءً على الخطوة هاي، إذا كان في عندي
+
+339
+00:26:24,140 --> 00:26:29,380
+two different data source، data set one، و data set
+
+340
+00:26:29,380 --> 00:26:36,020
+two، من different resources، الأصل..الأصل أن أعمل
+
+341
+00:26:36,020 --> 00:26:42,720
+cleaning للنتين، قبل ما أعمل integration، ليش؟
+
+342
+00:26:43,160 --> 00:26:47,100
+لأنه فعلياً احنا مش بحاجة الـ null، حتصير في عندي
+
+343
+00:26:47,100 --> 00:26:50,240
+مشكلة، فأنا لما بدي أعمل integration بدي أكون على
+
+344
+00:26:50,240 --> 00:26:53,760
+السليم، يعني في مرحلة ما بعد الـ cleaning عشان أضمن
+
+345
+00:26:53,760 --> 00:26:58,000
+يصير في عندي combination صح للـ data set، الآن
+
+346
+00:26:58,000 --> 00:27:00,440
+وبالتالي الـ data integration هي عبارة عن
+
+347
+00:27:00,440 --> 00:27:03,080
+combination أو combines الـ data from different
+
+348
+00:27:03,080 --> 00:27:07,480
+sources، زي ما قلنا سابقاً بالمثال اللي قلناه، هنكرره
+
+349
+00:27:07,480 --> 00:27:13,210
+كتير، كاسمتقدير تحصيل الطالب أو مستوى تحصيل الطالب
+
+350
+00:27:13,210 --> 00:27:15,950
+في المرحلة الابتدائية، بناءً على الحالة الصحية،
+
+351
+00:27:15,950 --> 00:27:18,730
+صحيح؟ وكل هذه المعلومات من two different
+
+352
+00:27:18,730 --> 00:27:23,810
+resources، تربية والتعليم، والصحة، وبدي أعمل
+
+353
+00:27:23,810 --> 00:27:29,330
+integration ما بين العناصر اللي موجودة عندها، ليش
+
+354
+00:27:29,330 --> 00:27:35,110
+أنا فعلياً بدي أعمل data integration لواحد من سببين
+
+355
+00:27:35,110 --> 00:27:47,080
+الأول، أنه أنا في عندي small data set، small
+
+356
+00:27:47,080 --> 00:27:52,260
+data set، لما أتكلم small data set، معناته الـ
+
+357
+00:27:52,260 --> 00:27:58,220
+integration هدفه زيادة عدد الـ rows، زيادة عدد الـ
+
+358
+00:27:58,220 --> 00:28:05,820
+samples، صحيح؟ الشغل
+
+359
+00:28:05,820 --> 00:28:07,940
+الثاني، سبب الـ integration
+
+360
+00:28:11,780 --> 00:28:17,120
+more information for
+
+361
+00:28:17,120 --> 00:28:23,700
+the samples، أنا بحاجة لمعلومات
+
+362
+00:28:23,700 --> 00:28:27,040
+جديدة عن الـ samples، عامل في المثال اللي بنقول
+
+363
+00:28:27,040 --> 00:28:31,180
+عليه، أنا عنده معلومات خاصة بالمدرسة والتعليم، سجل
+
+364
+00:28:31,180 --> 00:28:33,920
+الطالب التعليمي موجودة في وزارة، وأنا شغال في
+
+365
+00:28:33,920 --> 00:28:38,520
+الوزارة، فهي موجودة عند الـ dataset، الآن المعلومات
+
+366
+00:28:38,520 --> 00:28:41,640
+اللي أنا بدي إياها إضافية عشان تخدم الـ task تبعي
+
+367
+00:28:41,640 --> 00:28:45,820
+موجودة في وزارة الصحة، مش هبدأ أساوي، بدي أجيبها عشان
+
+368
+00:28:45,820 --> 00:28:49,880
+أضيف information لكل sample، يعني أنا بدي أضيف بين
+
+369
+00:28:49,880 --> 00:28:57,380
+جثين attributes، صحيح؟
+
+370
+00:28:57,380 --> 00:29:01,940
+لأن هنا مش هعمل على الـ enlargement للـ dataset، مش
+
+371
+00:29:01,940 --> 00:29:05,460
+هزيد عدد الـ rows، هزيد عدد الـ attributes
+
+372
+00:29:12,330 --> 00:29:21,810
+الآن لو أنا بدي أعمل dataset بسيطة، هنا الـ
+
+373
+00:29:21,810 --> 00:29:31,090
+ID،
+
+374
+00:29:31,090 --> 00:29:36,110
+الـ name، الـ
+
+375
+00:29:36,110 --> 00:29:39,150
+age، والـ level
+
+376
+00:29:42,930 --> 00:29:50,070
+والـ GPA أو الـ Average GPA، متوسط
+
+377
+00:29:50,070 --> 00:29:56,130
+تحصيله، هذه المعلومات من وين؟ من المدرسة أو من
+
+378
+00:29:56,130 --> 00:30:04,130
+وزارة التربية والتعليم، في وزارة الصحة ما فيش
+
+379
+00:30:04,130 --> 00:30:08,110
+شيء ما فيش
+
+380
+00:30:08,110 --> 00:30:13,070
+average، ما فيش level، صحيح؟ كلامك، الـ ID والـ name
+
+381
+00:30:13,070 --> 00:30:18,850
+بتكلم على الـ weight، العمر،
+
+382
+00:30:18,850 --> 00:30:29,210
+مثلاً هاي الـ age، date of birth، ليكن الـ weight، الـ
+
+383
+00:30:29,210 --> 00:30:36,770
+height، illness، هل في أمراض ولا لأ؟ هل بتناول أدوية
+
+384
+00:30:36,770 --> 00:30:40,350
+ولا لأ؟ treatment إلى آخره، المهم أنا بدي أعمل
+
+385
+00:30:40,350 --> 00:30:45,640
+combination أو بدي أجمع الـ two datasets هدول عشان
+
+386
+00:30:45,640 --> 00:30:49,500
+الـ task تبعي، هدفها، كمان مرة، للمرة كده أشهد الألف
+
+387
+00:30:49,500 --> 00:30:54,580
+تمام؟ كمان مرة بنتكلم أنه أنا بدي أحاول أعمل
+
+388
+00:30:54,580 --> 00:31:00,560
+prediction لمستوى تحصيل الطالب بناءً على سجله الصحي
+
+389
+00:31:00,560 --> 00:31:06,360
+الـ combination هذا حيصير هاني علي أبو الخير، صحيح؟
+
+390
+00:31:10,100 --> 00:31:15,820
+تمام، هذا الـ raw أو الـ dataset بدها تكون هنا، وكأني
+
+391
+00:31:15,820 --> 00:31:24,320
+بكل بساطة بدي أعمل inner join بين two tables، فهذه
+
+392
+00:31:24,320 --> 00:31:26,880
+الـ combination، كان هدفها أو هذه الـ integration
+
+393
+00:31:26,880 --> 00:31:32,420
+هدفها إضافة معلومات جديدة لكل entity، لكل sample، لأن
+
+394
+00:31:32,420 --> 00:31:36,600
+عشان تتحقق الـ task الموجودة، لكن لو قلنا والله أن
+
+395
+00:31:36,600 --> 00:31:42,360
+الطالب هذا كان فترة الابتدائي عايش أو بدرس في
+
+396
+00:31:42,360 --> 00:31:46,520
+مدرسة خاصة، أو مدرسة خاصة، والمعلومات هذه ما كانتش
+
+397
+00:31:46,520 --> 00:31:50,560
+موجودة
+
+445
+00:35:34,020 --> 00:35:38,850
+recordو أخلّيه عندي بأكبر قدر ممكن، بأطلّع على باقي
+
+446
+00:35:38,850 --> 00:35:45,530
+مثلاً، بأطلّع على الـ age 17، 17. إذا هل في common
+
+447
+00:35:45,530 --> 00:35:49,910
+attributes بين الاثنين بيأكدولي إن هذا هو نفسه هذا
+
+448
+00:35:49,910 --> 00:35:53,810
+ممكن أصيب، أتجوز عن من؟ عن الاسم، لأنه فعلاً الاسم مش
+
+449
+00:35:53,810 --> 00:35:57,690
+هيخدمني، بس أنا حاليًا بدي أتأكد إن هذا real entity
+
+450
+00:35:57,690 --> 00:36:01,910
+موجودة عندي في الـ data set. هذه بنسمّيها الـ entity
+
+451
+00:36:01,910 --> 00:36:03,550
+identification
+
+452
+00:36:05,840 --> 00:36:08,740
+الـ problem، الـ value of conflict أو الـ value
+
+453
+00:36:08,740 --> 00:36:17,860
+conflict، التعارض ما بين القيم، لجيته عمره هان 17، و
+
+454
+00:36:17,860 --> 00:36:27,520
+هان لجيته 15. أنا في الآخر هحتفظ بـ one edge، مظبوط؟
+
+455
+00:36:27,520 --> 00:36:32,840
+يعني غالباً الـ edge هان مش هجيب ليه، طب آسف مين فيهم
+
+456
+00:36:32,840 --> 00:36:36,900
+الصحيح؟ الخمسة عشر ولا السبعة عشر؟ الـ date of birth
+
+457
+00:36:36,900 --> 00:36:43,760
+هنا موجود، قال لي والله إنه تاريخ ميلاده هذا 2005
+
+458
+00:36:43,760 --> 00:36:48,180
+وخمسة، واحنا 2020، ميلاده خمسة عشر، ميلاده
+
+459
+00:36:48,180 --> 00:36:52,240
+الخطأ عندي هنا، وهذا بيطلب برضه مني manual
+
+460
+00:36:52,240 --> 00:36:56,860
+correctness، عشان أعدي الـ level. ممكن يكون عندي
+
+461
+00:36:56,860 --> 00:37:01,120
+indicator، طبعاً، لكن بيظل فيه احتمال إن هو فعلياً ايش
+
+462
+00:37:01,120 --> 00:37:04,600
+يكون مثلاً، تأخر سنة أو رسب سنة أو ما شابه، لكن الـ
+
+463
+00:37:04,600 --> 00:37:08,140
+date of birth كان بيقول لأ، يا إما هو متأكد، لأنه هو
+
+464
+00:37:08,140 --> 00:37:12,420
+بيشوف فيه تقارب ما بين الـ values، الـ redundant
+
+465
+00:37:12,420 --> 00:37:21,100
+teachers. أنا ما فيش عندي الـ age هنا، لكن
+
+466
+00:37:21,100 --> 00:37:26,140
+عندي date of birth، تاريخ الميلاد. لما أنا أعمل
+
+467
+00:37:26,140 --> 00:37:30,140
+marriage، تاريخ الميلاد هيجينيها كـ attribute، لكن
+
+468
+00:37:30,140 --> 00:37:35,220
+المعلومات اللي فيها موجودة عندي سابقاً، فبرضه أنا
+
+469
+00:37:35,220 --> 00:37:38,820
+بدي أنتبه لها، يعني في عندي تلت شغلات أساسية بدي
+
+470
+00:37:38,820 --> 00:37:42,320
+أنتبه لها، عندي عملية الـ integration، أتأكد من الـ
+
+471
+00:37:42,320 --> 00:37:46,020
+identification لكل entity، اللي فعلياً الـ entity
+
+472
+00:37:46,020 --> 00:37:51,340
+تقابل الـ entity المقابلة بتاعتها بشكل صحيح، الـ
+
+473
+00:37:51,340 --> 00:37:54,300
+value conflict أو الـ inconsistent اللي ممكن تصير
+
+474
+00:37:54,300 --> 00:37:56,660
+عندي، زي ما صار معايا في الاسم أو صار معايا في الـ
+
+475
+00:37:56,660 --> 00:38:02,380
+age، وفي الآخر في الـ redundant features أو في تكرار
+
+476
+00:38:02,380 --> 00:38:08,060
+الـ attributes اللي موجودة عندي، وبرضه الشغل هيكون
+
+477
+00:38:08,060 --> 00:38:13,740
+manual. ممكن أكتب code عشان يعمل integration لو أنت
+
+478
+00:38:13,740 --> 00:38:17,820
+طبّقت، عملت الـ inner join بين الـ two tables هدول، ايش
+
+479
+00:38:17,820 --> 00:38:24,280
+اللي بيصير؟ بياخد الـ rows بناءً على الـ ID، الـ ID
+
+480
+00:38:24,280 --> 00:38:29,920
+المختلف بين الاثنين، ما بيطلعش، يعني تخيّل إن هنا واحد
+
+481
+00:38:29,920 --> 00:38:36,660
+اثنين، ثلاثة، تسعة، ما فيش هنا، وهنا عندي واحد، اثنين
+
+482
+00:38:36,660 --> 00:38:42,860
+ثلاثة، ثمانية، مش موجود هنا، هذا الـ row مش هيظهر، وهذا
+
+483
+00:38:42,860 --> 00:38:47,200
+الـ row مش هيظهر، ولا لأ؟ ليش؟ لأن فعلياً ما فيش
+
+484
+00:38:47,200 --> 00:38:51,220
+integration ما بين الـ rows اللي موجودة، لكن لاحظوا
+
+485
+00:38:51,220 --> 00:38:55,760
+المشكلة دي أنا ما عانيت منها مطلقاً لما روحت جيبت
+
+486
+00:38:55,760 --> 00:39:00,260
+مصدر ثاني للبيانات، وصرت أجمعها عشان أزيد مين؟ عدد
+
+487
+00:39:00,260 --> 00:39:04,000
+الـ rows، لأن في الآخر أنا جيبت من المدرسة الخاصة، جيبت
+
+488
+00:39:04,000 --> 00:39:08,180
+الـ name، و الـ age، و الـ level، و الـ GPA لمجموع الطلاب
+
+489
+00:39:08,180 --> 00:39:13,120
+عشان أزيد، أزيد محصلة الـ rows اللي موجودة عندها
+
+490
+00:39:19,090 --> 00:39:24,050
+هننتقل الآن لموضوع الـ Data Transformation، اللي هي
+
+491
+00:39:24,050 --> 00:39:30,150
+الخطوة الرابعة، العد، أيوة، أهب، تفضّل، اسأل، مثلاً زي
+
+492
+00:39:30,150 --> 00:39:33,850
+الـ media اللي جيت العالم الأول بسيط، هجيته فعلاً فعلاً
+
+493
+00:39:33,850 --> 00:39:37,070
+هذا مثلاً، الإنسان بدري يعمل بحث زي هيك، هل فعلاً مهتم
+
+494
+00:39:37,070 --> 00:39:41,430
+في الـ record زي ما هذا، ولا بس إنه اتعلّم الصحيح؟
+
+495
+00:39:41,430 --> 00:39:45,210
+شوفي، أهب، كل record بتضيفه على الـ data set الأصلي
+
+496
+00:39:45,210 --> 00:39:49,450
+بتضيف لك knowledge جديدة، و بقوّي الـ rule أو الـ
+
+497
+00:39:49,450 --> 00:39:52,550
+predictors اللي أنت بدك تنشئه، عشان هيك فعلياً أنت
+
+498
+00:39:52,550 --> 00:39:58,150
+محتاجة، كل ما كانت عدد الـ data set قليلة أو
+
+499
+00:39:58,150 --> 00:40:05,170
+المعلومات اللي عندك قليلة، أنت بحاجة لأي.. أي شغل
+
+500
+00:40:05,170 --> 00:40:08,730
+بتعزّز البيانات اللي موجودة عندك، حتى لو one record
+
+501
+00:40:08,730 --> 00:40:13,270
+بدك تضيفه، لكن الـ data set اللي عندي حجمها 100 ألف
+
+502
+00:40:13,270 --> 00:40:17,950
+record، ولا جيت عشرة records أو مئة record أو ألف
+
+503
+00:40:17,950 --> 00:40:23,870
+record، في مكان ما، مش ضروري أفكر فيهم كتير، إذا أنا
+
+504
+00:40:23,870 --> 00:40:26,450
+واثق في البيانات اللي عندي، لكن لو كانوا الألف
+
+505
+00:40:26,450 --> 00:40:30,110
+record هدول بمثل حالة خاصة، وأنا بدي أدرجها في
+
+506
+00:40:30,110 --> 00:40:33,090
+النظام تبعي، لازم أعملها integration للمئة ألف
+
+507
+00:40:33,090 --> 00:40:37,890
+اللي عندي، وصيروا مئة ألف وواحد، تمام؟ أو مئة وواحد
+
+508
+00:40:37,890 --> 00:40:42,570
+ألف، في موضوع الـ transfer.. في أي شباب عنده..
+
+509
+00:40:42,570 --> 00:40:48,020
+شباب، في حد عنده أي سؤال ثاني؟ ننتقل لموضوع أو نكمل
+
+510
+00:40:48,020 --> 00:40:51,100
+في الـ steps، وبنحاول إن شاء الله الأسبوع هذا ننهي
+
+511
+00:40:51,100 --> 00:40:53,540
+الـ chapter اللي إحنا بنشتغل فيه، لأنه صار لنا قد ايش
+
+512
+00:40:53,540 --> 00:40:55,320
+هذا الأسبوع الثالث، وإحنا بناخد في الـ data
+
+513
+00:40:55,320 --> 00:40:58,620
+understanding و الـ preparation، فبديش ياخد حسّه
+
+514
+00:40:58,620 --> 00:41:03,540
+بالملل، فبنروح باتجاه الـ mining إن شاء الله. الآن في
+
+515
+00:41:03,540 --> 00:41:07,900
+الـ data transformation، المقصود فيها تحويل أو تحوير
+
+516
+00:41:07,900 --> 00:41:14,330
+البيانات من form، من صورتها الحالية، اللي تظهر بصورة
+
+517
+00:41:14,330 --> 00:41:19,910
+تتناسب مع الـ mining task العام اللي إحنا بنقول، بقول
+
+518
+00:41:19,910 --> 00:41:22,430
+أنا في عندي تاريخ الميلاد يا جماعة الخير، date of
+
+519
+00:41:22,430 --> 00:41:22,750
+birth
+
+520
+00:41:27,040 --> 00:41:30,680
+القيم اللي موجودة فيه.. القيم اللي موجودة فيه
+
+521
+00:41:30,680 --> 00:41:35,760
+بتقول، إذا أنا بدي أبني decision rules، هيكون عندي
+
+522
+00:41:35,760 --> 00:41:39,580
+الـ values كتيرة، لأنه انولد في شهر واحد، غير إن
+
+523
+00:41:39,580 --> 00:41:42,320
+انولد في شهر اثنين، في عندي ثلاثين خيار في شهر واحد
+
+524
+00:41:43,080 --> 00:41:49,060
+و28 في شهر 2، و 31 في شهر 3، مظبوط؟ معناته على مدار
+
+525
+00:41:49,060 --> 00:41:53,500
+السنة، يعني أنا بتكلم هيك وكأنه وكأنه عندي 365
+
+526
+00:41:53,500 --> 00:41:59,420
+variable أو value بدها تدخل في الـ decision rules
+
+527
+00:41:59,420 --> 00:42:04,480
+تبعي، هذا.. هذا الكلام مش منطق، بينما كل الناس اللي في
+
+528
+00:42:04,480 --> 00:42:08,680
+مستوى أول مثلاً، أو في فئة الجامعة، هدول فئة واحدة
+
+529
+00:42:08,680 --> 00:42:12,260
+طلاب المدارس في الثانوية فئة ثانية، اللي من الإعدادية
+
+530
+00:42:12,260 --> 00:42:16,880
+ينزلوا فئة ثالثة، الخريجين فئة رابعة، فهذه الفئات
+
+531
+00:42:16,880 --> 00:42:22,740
+تاريخ الميلاد هذا ما بيكفّنيش، يا راني، تاريخ الميلاد
+
+532
+00:42:22,740 --> 00:42:27,460
+هذا ما بنفعنيش، فأنا محتاج أن أغيّر صورة تاريخ
+
+533
+00:42:27,460 --> 00:42:28,120
+الميلاد
+
+534
+00:42:34,920 --> 00:42:42,620
+إلى age، بالـ age بكون أنا عملت ايش؟ قلّلت الـ value
+
+535
+00:42:42,620 --> 00:42:46,360
+اللي موجودة، قلّلت الـ value اللي موجودة عندي
+
+536
+00:42:46,360 --> 00:42:53,260
+وبالتالي قلّلت الـ decision rules تبعي، لكن لاحظ إن
+
+537
+00:42:53,260 --> 00:42:56,840
+تاريخ الميلاد والـ age اللي كتب معاه نفسه من الـ
+
+538
+00:42:56,840 --> 00:43:04,190
+2005 وكتبت الـ age 15، ما فقدتش المعلومة تبعي، مظبوط؟
+
+539
+00:43:04,190 --> 00:43:07,090
+والأفضل من هيك لو جسمنا لفئات زي ما هنشوف كمان
+
+540
+00:43:07,090 --> 00:43:13,110
+شوية، فمن الـ data transformation method لـ smoothing
+
+541
+00:43:13,110 --> 00:43:19,430
+method، لما عملت binning، عبارة عن smoothing method
+
+542
+00:43:19,430 --> 00:43:24,190
+الـ regression smoothing method، بس هدفها الأساسي
+
+543
+00:43:24,190 --> 00:43:30,110
+تخلص من الـ noise. واحد يقول ليه الـ smoothing
+
+544
+00:43:30,110 --> 00:43:33,650
+حطيناها من الـ transformation؟ الـ data أخدت صور
+
+545
+00:43:33,650 --> 00:43:38,150
+مختلفة، البن الأولى أخدت قيمة بدل كل القيم اللي
+
+546
+00:43:38,150 --> 00:43:42,810
+كانت في البن، ايش أخدت؟ أخدت الـ median أو أخدت الـ
+
+547
+00:43:42,810 --> 00:43:47,870
+mean، أربعة، فبالتالي القيم تغيّرت، كانت شكل وصارت شكل
+
+548
+00:43:47,870 --> 00:43:54,190
+آخر، الـ values اللي عندي كانت 17 مليون
+
+549
+00:43:57,970 --> 00:44:01,050
+الأرقام هذه كبيرة، ما بتتناسبش مع الـ computation
+
+550
+00:44:01,050 --> 00:44:06,770
+تبعي، فأنا بدي أخليها 1.7، كذلك الـ 18 والـ 20 مليون
+
+551
+00:44:06,770 --> 00:44:13,410
+الـ 20 صارت 2، والـ 1.5 صارت .15 وهكذا، فهذا التحوير
+
+552
+00:44:13,410 --> 00:44:18,170
+الـ data كانت في صورة وصارت في صورة مختلفة
+
+553
+00:44:22,870 --> 00:44:26,570
+God، كان بهدف التخلص من الـ Noise، تمام؟ لكن
+
+554
+00:44:26,570 --> 00:44:30,010
+فعلياً، فعلياً الـ Data اللي صارت موجودة في الـ
+
+555
+00:44:30,010 --> 00:44:35,310
+Attribute هي عبارة عن New Transformation، تحوّر للـ
+
+556
+00:44:35,310 --> 00:44:38,830
+Data، جديدة، لأ؟ ضالت الـ Original Data؟ لأ،
+
+557
+00:44:38,830 --> 00:44:41,750
+فعلياً صار عليها تحوّر، عشان هيك ذكرناها أول واحدة،
+
+558
+00:44:41,750 --> 00:44:46,370
+لأنها مرت علينا سابقاً. الـ Aggregation، أنا فعلياً
+
+559
+00:44:46,370 --> 00:44:50,810
+ممكن أروح أضيف أو أعمل شغلات، يعني الآن بروح بقولي
+
+560
+00:44:50,810 --> 00:44:56,410
+والله بدنا نحسب.. نحاول نتنبأ إن الموظف الحكومي
+
+561
+00:44:56,410 --> 00:45:05,490
+بعد كم سنة ممكن يشتري بيت، يا
+
+562
+00:45:05,490 --> 00:45:09,940
+عم الله يرزق الجميع من فضله إن شاء الله. أنا عندي
+
+563
+00:45:09,940 --> 00:45:14,120
+الراتب الشهري، لكن عادة الراتب الشهري مبلغ قليل
+
+564
+00:45:14,120 --> 00:45:17,620
+ما حدش بيدور عليه في التعاملات اللي زي هذه، بروح بده
+
+565
+00:45:17,620 --> 00:45:21,620
+الراتب السنوي، طب أنا ما عنديش الراتب السنوي، عندي بس
+
+566
+00:45:21,620 --> 00:45:27,000
+الراتب الشهري، بأضربه بـ 12، بأضربه بـ 12، مظبوط؟ ايش
+
+567
+00:45:27,000 --> 00:45:30,800
+سويت.. كل السنوات، وأنا بعملية ضرب بس، فعلياً نقلت
+
+568
+00:45:30,800 --> 00:45:36,070
+الـ data من Range وحطّت لي إياها في Range مختلف، وهذه برضه
+
+569
+00:45:36,070 --> 00:45:39,210
+Transformation، فنسمّيها إحنا Aggregation
+
+570
+00:45:39,210 --> 00:45:42,450
+Transformation أو Aggregate Transformation
+
+571
+00:45:42,450 --> 00:45:46,530
+Generalization، لما أنا بأتكلم إن الـ data الـ set
+
+572
+00:45:46,530 --> 00:45:53,330
+تبعته بتتبع Hierarchy معيّنة، زي ايش؟ أنا في عندي الـ
+
+573
+00:45:53,330 --> 00:46:00,930
+country، وفي عندي الـ set الـ state، وعندي
+
+574
+00:46:02,180 --> 00:46:08,860
+الـ city، وعندي الـ neighborhood، الحي
+
+575
+00:46:08,860 --> 00:46:18,100
+وعندي الـ street مثلاً، شو
+
+576
+00:46:18,100 --> 00:46:24,100
+علّقت هدول في بعض، الشارع، عنوان، تفصيل العنوان، الشارع
+
+577
+00:46:24,100 --> 00:46:27,040
+موجود في حي، والحي موجود في مدينة، والمدينة موجودة
+
+578
+00:46:27,040 --> 00:46:32,290
+في ولاية، والولاية بتتبع دولة. أنا الآن العنوان اللي
+
+579
+00:46:32,290 --> 00:46:39,890
+موجود عندي مكتوب لحالة مستوى الشارع، غزة
+
+580
+00:46:39,890 --> 00:46:45,010
+الرمال، شارع عمرو بن عبد العزيز، هذا بس عشان يُذكر
+
+581
+00:46:45,010 --> 00:46:52,070
+خلال اليومين الماضيات في الأخبار طبعاً؟ الآن، طب هل
+
+582
+00:46:52,070 --> 00:46:55,150
+التفاصيل هذه بهمّني أنا؟ طب ما هي الـ redundant
+
+583
+00:46:55,150 --> 00:47:00,180
+value، أو عفواً، القيم الكتيرة المختلفة هذه؟ برضه
+
+584
+00:47:00,180 --> 00:47:03,060
+بتصعّب موضوع الـ decision تبعي، طب ما هي الرمال كلها
+
+585
+00:47:03,060 --> 00:47:09,420
+منطقة واحدة، فأنا بدي أستغني عن الـ street، وأصير
+
+586
+00:47:09,420 --> 00:47:13,760
+أتكلم على الـ neighborhood، وحتى الـ neighborhood مش
+
+587
+00:47:13,760 --> 00:47:19,660
+فارق كبير، رمال وشجاعية مش فارق كتير، تمام؟ فأنا هضطر
+
+588
+00:47:21,060 --> 00:47:24,080
+لاحظ إنه لما أنا بأتكلم على transformation يا جماعة
+
+589
+00:47:24,080 --> 00:47:27,020
+الخير، لاحظوا يا جماعة الخير إنه لما أنا بأعمل
+
+590
+00:47:27,020 --> 00:47:33,720
+transformation، بحوّل الـ value من street لـ
+
+591
+00:47:33,720 --> 00:47:38,340
+neighborhood أو لـ city، فقدت معلومات؟ لأ، هي
+
+592
+00:47:38,340 --> 00:47:41,220
+نفس المعلومات، نفس الـ representation، بس أنا مش
+
+593
+00:47:41,220 --> 00:47:44,200
+بحاجة لـ two details، هاي، هذا برضه بنسمّيه
+
+594
+00:47:44,200 --> 00:47:48,810
+transformation، الـ Normalization، الـ Normalization
+
+595
+00:47:48,810 --> 00:47:56,310
+فعلياً أنا بدي أروح أعمل Scaling للـ Data، Scaling
+
+596
+00:47:56,310 --> 00:47:59,710
+زي ما قلنا، 17 مليون، أو الأرقام اللي عندي كبيرة
+
+597
+00:47:59,710 --> 00:48:03,130
+فبدي أروح أقلّلها، أو بدي أحطّها ضمن Range معيّن، وهنا
+
+598
+00:48:03,130 --> 00:48:07,910
+بدنا عمليات حسابية، وهذه هروح لها بتفاصيل الآن. الـ
+
+599
+00:48:07,910 --> 00:48:11,330
+Attribute Construction، زي ما قلت، أنا عندي تاريخ
+
+600
+00:48:11,330 --> 00:48:14,810
+الميلاد، و تاريخ الميلاد ما بديش ايه؟ ما بديش إياه، بدي
+
+601
+00:48:14,810 --> 00:48:20,030
+أحط الـ age، أو بدي أبني الفئة العمرية، وكل التفاصيل
+
+602
+00:48:20,030 --> 00:48:25,450
+هاي كلها عبارة عن different transformation للـ data
+
+603
+00:48:25,450 --> 00:48:31,030
+كمان مرة، transformation لا يعني إن أنا القيمة
+
+604
+00:48:31,030 --> 00:48:35,150
+تغيّرت، جوهر الـ value موجود، لكن الصورة اللي ظهرت
+
+605
+00:48:35,150 --> 00:48:37,950
+عليها مختلفة
+
+606
+00:48:38,930 --> 00:48:44,390
+طيب، الآن بدنا نروح على الـ Transformation اللي له
+
+607
+00:48:44,390 --> 00:48:47,190
+علاقة بالـ Normalization، لأن هنا في عندي
+
+608
+00:48:47,190 --> 00:48:50,770
+Mathematical Forms لازم أفهمها كويس، وأفهم النتيجة
+
+609
+00:48:50,770 --> 00:48:53,910
+من كل واحدة فيهم. كل الكلام اللي إحنا قلناه سابقاً
+
+610
+00:48:53,910 --> 00:48:57,380
+جربنا الـ smoothing والـ aggregation، بسيطة، هي عبارة
+
+611
+00:48:57,380 --> 00:49:00,480
+عن computation بسيطة، ممكن تصير موجودة عندي، والـ
+
+612
+00:49:00,480 --> 00:49:03,420
+generalization ما فيش عليها شغل كتير زي ما إحنا
+
+613
+00:49:03,420 --> 00:49:
+
+667
+00:53:44,680 --> 00:53:48,700
+الان
+
+668
+00:53:48,700 --> 00:53:52,420
+كمان مرة شو رايك هاي الـ .. هاي الـ two attributes و
+
+669
+00:53:52,420 --> 00:53:57,020
+بدك ترسملي إياها على two-D plane مالهاش علاقة بالـ
+
+670
+00:53:57,020 --> 00:54:02,560
+mining الآن، تمام؟ شو الـ scale اللي بدك تستخدمه؟
+
+671
+00:54:02,560 --> 00:54:07,180
+بدك تستخدم واحد، اثنين، ثلاثة، أربعة، خمسة، ستة؟
+
+672
+00:54:07,180 --> 00:54:15,250
+ولا واحد من عشرة؟ ولا مئة؟ ممتاز إذا أنت أخدت
+
+673
+00:54:15,250 --> 00:54:18,790
+المئة، إذا أخدت المئة يعني الصحيحة، التهاني من صفر
+
+674
+00:54:18,790 --> 00:54:24,550
+لمئة، كل الـ values تبع الـ attribute هذا هتيجيك في
+
+675
+00:54:24,550 --> 00:54:27,950
+النقطة هاي، هتيجيك وكأنه معمول في النقطة هاي مش
+
+676
+00:54:27,950 --> 00:54:32,970
+هيبينه، ليش؟ لأنه الـ range تبعك اللي أنت اعتمدتها
+
+677
+00:54:32,970 --> 00:54:38,250
+يا تناسب، وإذا اعتمدت واحد من عشرة بالمئة هتيجي هنا
+
+678
+00:54:40,520 --> 00:54:43,140
+مصبوط؟ وبالتالي ما فيش مجال الرسم inconsistent
+
+679
+00:54:43,140 --> 00:54:49,400
+حيكون، أو مش هتقدر ترسمهم من الآخر، ما فيش حل إلا أن
+
+680
+00:54:49,400 --> 00:54:54,020
+بدي أعمل معيار للرسم بين الاثنين، إما بدي أنزل هذا
+
+681
+00:54:54,020 --> 00:54:57,920
+لنفس الـ scale، أو بدي أرفع هذا لنفس الـ scale اللي
+
+682
+00:54:57,920 --> 00:55:05,780
+موجود، وعلى الحالتين صح، مين الأسهل؟ أنزل، قول بدي
+
+683
+00:55:05,780 --> 00:55:12,420
+أُجسّمه عالميًا، بيصير هذا واحد وهذا عشرة، لاحظ الـ
+
+684
+00:55:12,420 --> 00:55:20,520
+range الآن بقى يختلف، صفر لواحد وواحد لعشرة، نوعًا ما
+
+685
+00:55:20,520 --> 00:55:23,840
+قريب، لكن برضه ممكن أنا إيش راح أساوي؟ أحط بنفس الـ
+
+686
+00:55:23,840 --> 00:55:26,580
+range، ما بدي أجسّم عالميًا، أنا أجسّم على الـ
+
+687
+00:55:33,500 --> 00:55:37,500
+صار عندي إيش؟ نفس الـ scale exactly، وأنا ما فقدتش من
+
+688
+00:55:37,500 --> 00:55:42,320
+قيمة البيانات ولا حاجة، هذا الكلام نفسه .. نفسه
+
+689
+00:55:42,320 --> 00:55:45,440
+بهمني لما يكون الـ algorithm تبعي، الـ machine
+
+690
+00:55:45,440 --> 00:55:47,920
+learning algorithm اللي بيشتغل في الـ mining task
+
+691
+00:55:47,920 --> 00:55:51,900
+تكون data set أو attribute، الـ values تبعته صغيرة
+
+692
+00:55:51,900 --> 00:55:56,480
+جدا، والـ attribute الثاني، الـ value تبعته كبيرة جدا
+
+693
+00:55:57,410 --> 00:56:00,830
+تبقى عندي mismatch في التعامل، فأفضل حاجة إيش أسوي؟
+
+694
+00:56:00,830 --> 00:56:04,510
+أن أحاول أعمل normalization لكل الـ data تكون كلها
+
+695
+00:56:04,510 --> 00:56:10,090
+على range واحد، فالـ scaling هذه أو الـ normalization
+
+696
+00:56:10,090 --> 00:56:14,810
+هذه مهمة جدا بالنسبة لنا، الـ
+
+697
+00:56:14,810 --> 00:56:18,390
+Z-score أو الـ normalization أو الـ zero score
+
+698
+00:56:18,390 --> 00:56:22,510
+normalization، أو زي ما بتسميها في Python: standard
+
+699
+00:56:22,510 --> 00:56:25,550
+scalar، standard scalar
+
+700
+00:56:28,890 --> 00:56:32,550
+في عندنا الـ Min-Max Normalization أو Min-Max Scalar
+
+701
+00:56:32,550 --> 00:56:37,450
+وفي عندنا الـ Decimal Scalar أو Decimal Scaling أو
+
+702
+00:56:37,450 --> 00:56:43,030
+Decimal Normalization، نبدأ مع الـ Zero Score أو مع
+
+703
+00:56:43,030 --> 00:56:47,070
+الـ Z-min أو الـ Z-Score، كلها نفس المصطلحات أو نفس
+
+704
+00:56:47,070 --> 00:56:51,590
+العنصر، Standard Scalar، بتكلم على الـ Zero-Min
+
+705
+00:56:51,590 --> 00:56:57,270
+Normalization، Zero-Min Normalization، مفهومها بكل
+
+706
+00:56:57,270 --> 00:57:03,450
+بساطة يا جماعة الخير، إنها احنا فعليًا بحاجة، طبعًا عشان
+
+707
+00:57:03,450 --> 00:57:05,650
+في مثال أنا كتبته عند الطالبات، المحاضرة الجاية
+
+708
+00:57:05,650 --> 00:57:08,470
+اللي بدي إياه نفسه، ما فيش داعي أن أختار مثال جديد
+
+709
+00:57:08,470 --> 00:57:15,470
+مفهومها إنه بدي أحول الـ attribute هذا لـ attribute
+
+710
+00:57:15,470 --> 00:57:19,110
+أو لـ value، أحوّل الـ data اللي فيه لـ value مختلفة
+
+711
+00:57:19,110 --> 00:57:24,590
+بحيث أن المتوسط الحسابي تبع الـ new form يكون صفر
+
+712
+00:57:24,590 --> 00:57:30,160
+عشان هيك اسمه Z من الـ zero، أو Z-Mean، Zero-Mean،
+
+713
+00:57:30,160 --> 00:57:34,460
+Zero-Score أو Zero-Mean، مفهومها إنه بعد ما أنا
+
+714
+00:57:34,460 --> 00:57:40,100
+أحوّل الـAttribute، أحوّل الـAttribute، بده يكون
+
+715
+00:57:40,100 --> 00:57:44,460
+الـMean تبعه صفر، ليش هذا الكلام مهم؟ لأنه كثير من
+
+716
+00:57:44,460 --> 00:57:47,420
+العمليات الحسابية المرتبطة بالـ Machine Learning
+
+717
+00:57:47,420 --> 00:57:50,700
+Algorithm لها علاقة بالـMean والـStandard
+
+718
+00:57:50,700 --> 00:57:56,610
+Deviation، فإذا أنا قدرت أحول الـMean لـ0، فبتصير
+
+719
+00:57:56,610 --> 00:58:03,110
+العمليات الحسابية تبعيتي أسهل ما يمكن، لو أنت بقيت
+
+720
+00:58:03,110 --> 00:58:06,810
+تضرب بصفر، خلاص بس الـ term اللي أنا جيت فيه، term
+
+721
+00:58:06,810 --> 00:58:10,370
+صفر، خلصنا، لو بدي أجمع صفر مع أن ما فيش عندي تغيير
+
+722
+00:58:10,370 --> 00:58:14,770
+وهذا هو الهدف الأساسي من الـ normalization هنا، إنه
+
+723
+00:58:14,770 --> 00:58:17,970
+أنا عامةً في الـ transformation عمالي بحاول أبدأ
+
+724
+00:58:17,970 --> 00:58:22,070
+أقلل من الـ cost أو الـ computational cost اللي ممكن
+
+725
+00:58:22,070 --> 00:58:27,930
+تصير عندي، فالـ Zero mean أو الـ Z-score هدفها أنه
+
+726
+00:58:27,930 --> 00:58:31,890
+للـ feature هذا تكون قيمة الـ mean، المتوسط الحسابي
+
+727
+00:58:31,890 --> 00:58:38,670
+صفر، والـ variance أو الانحراف المعياري تبعته جدًّا قريب من واحد
+
+728
+00:58:38,670 --> 00:58:46,410
+عبر المعادلة اللي موجودة عندنا هنا، طبعًا ميزة
+
+729
+00:58:46,410 --> 00:58:50,370
+الـ scaling هذا إنه ما فيش minimum وما فيش maximum
+
+730
+00:58:50,370 --> 00:58:54,480
+لكن بتروح تتطبق حسب القانون، القيمة الجديدة اللي هي
+
+731
+00:58:54,480 --> 00:59:00,840
+الـ Z تساوي القيمة السابقة X ناقص المتوسط الحسابي
+
+732
+00:59:00,840 --> 00:59:06,660
+على الانحراف المعياري تبع الـ value اللي موجودة
+
+733
+00:59:06,660 --> 00:59:12,240
+عندها، عشان تظهر الصورة، الأرقام اللي عندي أنا: عشرة،
+
+734
+00:59:12,240 --> 00:59:18,000
+خمسة عشر، عشرة، خمسة عشر، عشرين
+
+735
+00:59:24,250 --> 00:59:27,910
+هذه الـ A original، الـ attribute O، الـ attribute
+
+736
+00:59:27,910 --> 00:59:33,030
+الأصلي، الـ values اللي فيه، الـ values اللي فيه، تمام
+
+737
+00:59:33,030 --> 00:59:38,590
+هايهم خمس قيم، عشان أقدر أشتغل مع هذا أو أطبق عليه
+
+738
+00:59:38,590 --> 00:59:43,910
+الـ Z-score، شو بدي أساوي؟ بدي أحسب المتوسط الحسابي
+
+739
+00:59:43,910 --> 00:59:50,250
+هاي، المتوسط الحسابي يساوي المجموع على العدد، عشرة،
+
+740
+00:59:50,250 --> 00:59:57,500
+عشرين، وبتهيأ لي فيه كمان واحدة، هم خمس قيم، خمسة عشر
+
+741
+00:59:57,500 --> 01:00:04,980
+عشرين، تمام، سبعين على خمسة، كده الشباب، سبعين على
+
+742
+01:00:04,980 --> 01:00:12,020
+خمسة، يا
+
+743
+01:00:12,020 --> 01:00:17,640
+عيني عليكم، عشان هيك يا حبايبنا تعمل حسابك، تعمل
+
+744
+01:00:17,640 --> 01:00:21,700
+حسابك، تجيب الـ calculator تبعك، أنا بالنسبة لي
+
+745
+01:00:25,870 --> 01:00:29,150
+هيها أه، مش هسمح لك تستخدم الجوال ولا في الامتحان،
+
+746
+01:00:29,150 --> 01:00:32,830
+هسمح لك تستخدم الجوال، فأنت ما شاء الله يعني لسة عن
+
+747
+01:00:32,830 --> 01:00:35,470
+بارح طالع من الثانوية العامة، أو إذا في عندك حدا
+
+748
+01:00:35,470 --> 01:00:41,010
+فهي .. هي، فهي لك، إذا في حد أخدها من وراك تلفها
+
+749
+01:00:41,010 --> 01:00:47,710
+منه، ضروري من اليوم وطالع في عندنا حساب، لأ، حساب
+
+750
+01:00:47,710 --> 01:00:51,230
+عشان ما أخوف cash، لأن هاي، وما شاء الله عليك أنت في
+
+751
+01:00:51,230 --> 01:00:56,110
+القسمة، الـ 70 على 5، أثبتتي بالدليل القاطع إنك
+
+752
+01:00:56,110 --> 01:01:05,030
+ناجح إن شاء الله، طيب، الآن خلاص حسبت الـ mean، الآن
+
+753
+01:01:05,030 --> 01:01:08,710
+إيش بقول له؟ الانحراف المعياري أو الـ sigma تساوي
+
+754
+01:01:08,710 --> 01:01:14,110
+الجذر التربيعي للفروقات ما بين الـ mean على العدد
+
+755
+01:01:26,700 --> 01:01:32,460
+عشرة، أربعة عشر ناقص عشرة تربيع، أربعة عشر ناقص عشرة
+
+756
+01:01:32,460 --> 01:01:36,680
+تربيع، أربعة عشر ناقص عشرين تربيع، أربعة عشر
+
+757
+01:01:36,680 --> 01:01:42,880
+ناقص عشرين تربيع، أربعة عشر ناقص عشرين تربيع، أربعة
+
+758
+01:01:42,880 --> 01:01:43,720
+عشر ناقص عشرين تربيع، أربعة عشر ناقص عشرين تربيع
+
+759
+01:01:43,720 --> 01:01:44,240
+أربعة عشر ناقص عشرين تربيع، أربعة عشر ناقص عشرين
+
+760
+01:01:44,240 --> 01:01:49,650
+تربيع، أربعة عشر ناقص عشرين تربيع، أربعة عشر ناقص 16، 1
+
+761
+01:01:49,650 --> 01:02:04,310
+16، 1، 36، مصبوط، أنا حسبت المربعات، الآن 16 و16، 32، و
+
+762
+01:02:04,310 --> 01:02:16,360
+32 و2، 34، و36، 70، الآن الـ sigma تساوي الجذر
+
+763
+01:02:16,360 --> 01:02:22,900
+التربيعي لـ 70 على 5، اللي هي جذر الـ 14، اللي هي
+
+764
+01:02:22,900 --> 01:02:29,840
+تقريبًا قد ايش؟ ثلاثة
+
+765
+01:02:29,840 --> 01:02:34,060
+أو كسر، صح؟
+
+766
+01:02:34,060 --> 01:02:37,400
+ما هو لما أنت تكتب ثلاثة فاصلة جذر، مش عارف قد ايش، مش هتحصل
+
+767
+01:02:37,400 --> 01:02:43,020
+لنتيجة ثلاثة
+
+768
+01:02:43,020 --> 01:02:50,630
+فاصلة أربعة وسبعين، جذر
+
+769
+01:02:50,630 --> 01:02:57,510
+الـ 14 هذا بنسميه الانحراف المعياري للـ data set
+
+770
+01:02:57,510 --> 01:03:03,290
+أو للـ attribute اللي عندي، sigma، لسة احنا ما خلصناش،
+
+771
+01:03:03,290 --> 01:03:08,370
+أنا كل اللي سوّيته جبت المعاملات بتاعة المعادلة هاي،
+
+772
+01:03:08,370 --> 01:03:13,740
+جبت الـ mu، جبت الـ sigma، هلاّ بدي أجيب Z، زد لمين يا
+
+773
+01:03:13,740 --> 01:03:18,260
+جماعة الخير؟ لكل قيمة من هدول، لكل قيمة من هدول، احنا
+
+774
+01:03:18,260 --> 01:03:27,880
+خلصنا هذا، الآن بقدر أمسحه، الـ
+
+775
+01:03:27,880 --> 01:03:32,420
+attribute new، قيمة
+
+776
+01:03:32,420 --> 01:03:40,550
+القيمة الجديدة تساوي X ناقص ميو على ثلاثة فاصلة أربعة وسبعين، يعني
+
+777
+01:03:40,550 --> 01:03:45,910
+بتكون عشرة ناقص أربعة عشر على ثلاثة فاصلة أربعة وسبعين، ولا كيف؟ بده يكون في الآخر المتوسط
+
+778
+01:03:45,910 --> 01:03:52,530
+الحسابي صفر، لازم تكون قيم موجبة وقيم سالبة، لأنه في
+
+779
+01:03:52,530 --> 01:03:57,970
+الآخر صفر على أي شيء، العدد مستحيل يكون صفر، فلازم
+
+780
+01:04:02,390 --> 01:04:06,530
+البسط يطلع معك صفر، مجموع القيم، فبتطلع هذه سالب
+
+781
+01:04:06,530 --> 01:04:14,240
+بالنسبة للأولى، أربعة على ثلاثة فاصلة أربعة وسبعين،
+
+782
+01:04:14,240 --> 01:04:17,340
+سالب
+
+783
+01:04:17,340 --> 01:04:22,440
+واحد فاصلة صفر سبعة، هم الـ rounding للرقمين،
+
+784
+01:04:22,440 --> 01:04:25,700
+هتكون
+
+785
+01:04:25,700 --> 01:04:31,300
+عندي عشرة ناقص، أو عفواً، خمسة عشر ناقص أربعة عشر على
+
+786
+01:04:31,300 --> 01:04:37,040
+ثلاثة فاصلة أربعة وسبعين، اعتمد
+
+787
+01:04:37,040 --> 01:04:38,900
+يا أبو حاسم، ولا في شك في الكلام
+
+788
+01:04:43,490 --> 01:04:49,430
+26% غلط، لأنه بدنا نعمل rounding، عندك 6 أو 7 يا
+
+789
+01:04:49,430 --> 01:04:56,250
+باشا، عشان أضمن تصفّر معايا المسألة، الآن عشرة، نفس
+
+790
+01:04:56,250 --> 01:05:00,890
+القيمة اللي فوق، 1
+
+791
+01:05:00,890 --> 01:05:07,610
+فاصلة 0715
+
+792
+01:05:07,610 --> 01:05:11,990
+فاصلة 27، الآن
+
+793
+01:05:14,240 --> 01:05:25,220
+1 فاصلة 6، أنا بتذكرها هي صحيحة، 1 فاصلة 6، تمام؟ الآن متوسط
+
+794
+01:05:25,220 --> 01:05:32,460
+الحساب الجديد يساوي، أجمع
+
+795
+01:05:32,460 --> 01:05:40,840
+العناصر هدول على عددهم، عددهم خمسة، سالب
+
+796
+01:05:40,840 --> 01:05:41,240
+واحد
+
+797
+01:05:44,090 --> 01:05:52,350
+لأن أنت ما ترَهِلش، أنت بتجمع القيمتين هدول وبالتالي
+
+798
+01:05:52,350 --> 01:05:59,410
+الـ mean تبعيتي قد ايش صارت؟ صفر، لازم يطلع صفر، اللي مش
+
+799
+01:05:59,410 --> 01:06:04,250
+مصدق يجمعهم يا شباب، مش مشكلة عندي، تمام، فالـ mean
+
+800
+01:06:04,250 --> 01:06:10,950
+صفر، الانحراف المعياري الجديد يساوي الجذر التربيعي
+
+801
+01:06:10,950 --> 01:06:18,430
+للفروقات هدول، أو للقيم هدول تربيع، الفروق مع الـ
+
+802
+01:06:18,430 --> 01:06:27,890
+mean، الـ mean صفر، فتربيع القيم هذه: 1 فاصلة 07 زائد 0 فاصلة 27
+
+803
+01:06:27,890 --> 01:06:40,490
+زائد 1 فاصلة 7 تربيع، زائد 0 فاصلة 27 تربيع، زائد 1 فاصلة 6 تربيع، هدول
+
+804
+01:06:40,490 --> 01:06:43,330
+مجموعهم خمسة، على خمسة
+
+805
+01:06:48,310 --> 01:06:51,770
+واحد، أه، لازم يطلع واحد، لو ما طلع واحد ما أنتم في
+
+806
+01:06:51,770 --> 01:06:57,470
+عندكم مشكلة، لو ما طلع واحد في عندكم مشكلة في الحساب،
+
+807
+01:06:57,470 --> 01:07:02,890
+ممكن الأرقام مشكلة، لا يا باشا، الأرقام إيش ما كانت
+
+808
+01:07:02,890 --> 01:07:07,950
+إذا تطبّق عليها الـ Z-score لازم إنها تجي يطلع الـ
+
+809
+01:07:07,950 --> 01:07:11,030
+mean صفر، والـ standard deviation واحد
+
+810
+01:07:13,890 --> 01:07:18,810
+تمام؟ تمام، إيش
+
+811
+01:07:18,810 --> 01:07:27,210
+استفدت؟ الآن أنا عملت scaling .. scaling لمين؟ للـ
+
+812
+01:07:27,210 --> 01:07:32,090
+A الأصلية اللي موجودة عندي، بقيم جديدة، عملت
+
+813
+01:07:32,090 --> 01:07:36,970
+transformation، مظبوط؟ القيمة هذه تمثل العشرة، والـ
+
+814
+01:07:36,970 --> 01:07:41,630
+27 تمثل .. الـ 27 من 100 تمثل 15، يعني حطيتها في
+
+815
+01:07:41,630 --> 01:07:45,130
+Range جديد، الـ Range الجديد هذا ما فقدش قيمته
+
+816
+01:07:45,130 --> 01:07:52,390
+مطلقًا، لكن كان فيه لميزة، قال لي إن المتوسط الحسابي
+
+817
+01:07:52,390 --> 01:07:57,610
+تبع القيم هدول صفر، والانحراف المعياري واحد، كثير من
+
+818
+01:07:57,610 --> 01:08:00,370
+الـ machine learning algorithm، جامعة الخير، بتنبني
+
+819
+01:08:00,370 --> 01:08:05,390
+على حسبة الـ mean والانحراف المعياري، فلما أنا بأضمن
+
+820
+01:08:05,390 --> 01:08:09,320
+الـ mean صفر، معناته كثير من العمليات أو من الـ terms
+
+821
+01:08:09,320 --> 01:08:12,800
+هعملها neglect، هاختصرها في الـ computation، ولا لأ؟
+
+822
+01:08:12,800 --> 01:08:16,400
+لما بتكون العمليات ضرب وبحصل على واحد في الـ
+
+823
+01:08:16,400 --> 01:08:21,140
+standard deviation، هذا الكلام كله بِخدمني في تسريع
+
+824
+01:08:21,140 --> 01:08:23,980
+عملية الـ learning اللي هتصير عند الـ data mining أو
+
+825
+01:08:23,980 --> 01:08:27,940
+في مرحلة الـ mining أو الـ data mining tasks، هالكلام
+
+826
+01:08:27,940 --> 01:08:32,920
+هذا مطلوب من ناحية عملية، من ناحية عملية، الـ standard
+
+827
+01:08:32,920 --> 01:08:37,340
+scalar موجودة في Python as a function، تستدعيها و
+
+828
+01:08:37,340 --> 01:08:39,800
+بتقول له تديها اسم الـ attribute وبتعمل generate لـ
+
+829
+01:08:39,800 --> 01:08:48,540
+attribute مباشرة، بس لازم تحفظ وتفهم إيش اللي بيصير
+
+830
+01:08:48,540 --> 01:08:52,240
+لأنه بكل بساطة لاحقًا ممكن أَديك sequence من خمس
+
+831
+01:08:52,240 --> 01:08:55,960
+عناصر زي هيك وأقول لك روح أنا بدي نعمل
+
+832
+01:08:55,960 --> 01:08:58,900
+transformation للـ data set هذه بحيث إنك تتناسب مع
+
+833
+01:08:58,900 --> 01:09:02,500
+الـ task الفلانية، بتطبيق الـ algorithm الفلاني
+
+835
+01:09:06,680 --> 01:09:11,320
+أيوة، سؤال مهم، أحمد فاروق بيقول: جديش الـ scale؟ ما فيش
+
+836
+01:09:11,320 -->
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..761b1610275b6f23558e36df3da4d90d7315e6c7
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_postprocess.srt
@@ -0,0 +1,3420 @@
+1
+00:00:05,080 --> 00:00:07,260
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,260 --> 00:00:10,540
+اليوم ان شاء الله تعالى هنكمل في موضوع ال data
+
+3
+00:00:10,540 --> 00:00:13,800
+cleaning كنا المحاضرة الماضية اللي اشتغلنا في
+
+4
+00:00:13,800 --> 00:00:19,820
+موضوع ال missing لل data و اليوم ان شاء الله تعالى
+
+5
+00:00:19,820 --> 00:00:25,720
+هنشتغل في موضوع ال noisy data الان في ال noisy
+
+6
+00:00:25,720 --> 00:00:29,060
+data قلنا احنا ال noise data مفهومها ان انا في
+
+7
+00:00:29,060 --> 00:00:33,890
+عندى خطأ لسببerror معين الـ error ده ممكن يكون
+
+8
+00:00:33,890 --> 00:00:37,950
+الناتج عنه من human entry أو فيه fault في ال
+
+9
+00:00:37,950 --> 00:00:41,190
+instrument اللي أنا جمعت من خلالها ال data وقولنا
+
+10
+00:00:41,190 --> 00:00:44,430
+من أشهر الأمثلة اللي أنا بتكلم عليها على ال noise
+
+11
+00:00:44,430 --> 00:00:50,130
+data الراتب يكون بالسالب بغض النظر عن كانت إيش
+
+12
+00:00:50,130 --> 00:00:53,890
+الأخطاء إيش الشغلات اللي أنا فعليا محتاجها عشان
+
+13
+00:00:55,040 --> 00:00:59,320
+أعرض أو أتعامل مع ال data set اللي موجودة عندنا
+
+14
+00:00:59,320 --> 00:01:01,900
+كيف بدي أعمل لها handling من أشهر الطرق اللي
+
+15
+00:01:01,900 --> 00:01:05,680
+موجودة عندنا موضوع ال pinning وما المقصود في ال
+
+16
+00:01:05,680 --> 00:01:10,520
+pinning أنه أنا فعليا بدي أروح أجسم ال data set
+
+17
+00:01:10,520 --> 00:01:17,850
+تبعتي لمجموعات وكل مجموعة هتمثل سيبني يا عمركل
+
+18
+00:01:17,850 --> 00:01:21,870
+مجموعة هتتمثل بقيمة معينة القيمة دي ممكن تكون ال
+
+19
+00:01:21,870 --> 00:01:25,050
+main ممكن تكون ال median او ممكن تكون بقيمتين عشان
+
+20
+00:01:25,050 --> 00:01:28,150
+امثل المجموعة لو اعتمدت على ال boundaries لكن في
+
+21
+00:01:28,150 --> 00:01:32,630
+شغل مهم جدا مع ال binning اللي هي الموضوع انه انا
+
+22
+00:01:32,630 --> 00:01:35,810
+فعليا ال partition تبع ال bin ال partition تبعتي
+
+23
+00:01:35,810 --> 00:01:39,770
+هاي او ال bin جداش حجمها بدو يكون هل هتكلم على
+
+24
+00:01:39,770 --> 00:01:44,980
+equal frequencyيعني فعلياً كل ال bins هيكونوا نفس
+
+25
+00:01:44,980 --> 00:01:50,480
+العدد ولا هتكلم على ال equal depth باجب ال equal
+
+26
+00:01:50,480 --> 00:01:54,120
+depth انا باجب فكرتها انه انا اجسم المجموعات تبع
+
+27
+00:01:54,120 --> 00:01:57,800
+ال intervals اجي اقول من عشرة مثلا من واحد لعشرة
+
+28
+00:01:57,800 --> 00:02:02,860
+ال interval الأولى من عشرة عفوا من 11 لعشرين ال
+
+29
+00:02:02,860 --> 00:02:06,260
+interval التانية من واحد وعشرين لتلاتين ال
+
+30
+00:02:06,260 --> 00:02:10,360
+interval التالتةبغض النظر عن الأعداد اللي بدها
+
+31
+00:02:10,360 --> 00:02:14,160
+تكون في كل interval هذي بتسميها احنا ايش؟ equal
+
+32
+00:02:14,160 --> 00:02:18,060
+depth بينها بقى ال equal frequency ان كل partition
+
+33
+00:02:18,060 --> 00:02:23,760
+في نفس العدد من ال elements لكن عشان فعليا اطبق
+
+34
+00:02:23,760 --> 00:02:29,740
+انا ال pinning لازم في البداية اعمل sort لل data
+
+35
+00:02:29,740 --> 00:02:36,350
+لو ماعملتش sort كل شغلك غلط على الفاضيلكن في موضوع
+
+36
+00:02:36,350 --> 00:02:40,370
+الـ Equal Depth ممكن انا اشتغل اذا انا فاهم ال
+
+37
+00:02:40,370 --> 00:02:44,830
+minimum و ال maximum تبعوني قداش بقدر اعمل استخدام
+
+38
+00:02:44,830 --> 00:02:48,210
+و عارف ايش ال range اللي ممكن تخدمني ال intervals
+
+39
+00:02:48,210 --> 00:02:50,430
+ممكن اشتغل لانه في الآخر بدي أصبح ال
+
+40
+00:02:50,430 --> 00:02:53,410
+representation لكل رقم بال interval اللي موجودة
+
+41
+00:02:53,410 --> 00:02:57,890
+عندها تعالوا نشوفمع بعض ال binning الان العملية
+
+42
+00:02:57,890 --> 00:02:59,370
+التانية اللى هتكلم عليها ال regression و ال
+
+43
+00:02:59,370 --> 00:03:02,030
+clustering بعدين كنا احنا بدنا مع ال binning و
+
+44
+00:03:02,030 --> 00:03:05,570
+الرقم واحد كنا بدنا نعمل sort و بالمثال هذا هشتغل
+
+45
+00:03:05,570 --> 00:03:09,510
+على equal frequency equal frequency قاللي انا الان
+
+46
+00:03:09,510 --> 00:03:10,990
+بدي اشتغل على three bins
+
+47
+00:03:19,150 --> 00:03:22,830
+الان يا جماعة الخير لو كان في عندي plus او minus
+
+48
+00:03:22,830 --> 00:03:26,890
+one في ال interval يعني لو كانت ال interval تبعتي
+
+49
+00:03:26,890 --> 00:03:34,150
+هذه 13 رقم 27 مش big deal او مش مشكلة ان الرقم
+
+50
+00:03:34,150 --> 00:03:38,300
+الأخير هذا ينضاف على ال penالاخيرة طيب لو كان في
+
+51
+00:03:38,300 --> 00:03:43,000
+عندي تلت أرقام مخص بن مخص رقم واحد ماعندي مشكلة
+
+52
+00:03:43,000 --> 00:03:47,360
+تكون البن الأخيرة بأقل من digit خصوصا لما احنا
+
+53
+00:03:47,360 --> 00:03:50,720
+بنتكلم انا بدي اعمل handling ل attribute ال
+
+54
+00:03:50,720 --> 00:03:53,740
+attribute مش اتناشر value اللي فيه تلتاشر ممكن
+
+55
+00:03:53,740 --> 00:03:57,100
+يكون فيه تلتاشر الف value فلما فعليا اجي اقول
+
+56
+00:03:57,100 --> 00:04:01,980
+والله بدي خصه عندي مائة قيمةمن الف مش قضية لسه ما
+
+57
+00:04:01,980 --> 00:04:06,200
+زال عندي فيه 900 قيمة موجودات وبقالهم وزلهم
+
+58
+00:04:06,200 --> 00:04:10,160
+وبأثروا بشكل كويس فالخطوة رقم واحد بعد ما انا اعمل
+
+59
+00:04:10,160 --> 00:04:15,140
+sort اجسم المجموعات اعملت sort بدي equal frequency
+
+60
+00:04:15,140 --> 00:04:23,160
+اربعة هاي واحدة تنتين تلاتة الخطوة رقم واحدSort
+
+61
+00:04:23,160 --> 00:04:25,860
+الخطوة الرقم اتنين تجسيمهم او ال partitioning
+
+62
+00:04:25,860 --> 00:04:32,120
+تبعتهم لمجموعات الآن بعد هيك القيام هذه مين فيها
+
+63
+00:04:32,120 --> 00:04:36,700
+ال noise انا فعليا مش عارف هل هي الأربعة هي ال
+
+64
+00:04:36,700 --> 00:04:39,680
+noise ولا الأربعة و تلاتين هي ال noise انا فعليا
+
+65
+00:04:39,680 --> 00:04:43,580
+مش عارفها لكن هذه الأربعة او الأربعة و تلاتين انا
+
+66
+00:04:43,580 --> 00:04:49,120
+فعليا هخلص منها من خلال استبدالها بإيش مع كل بن
+
+67
+00:04:49,120 --> 00:04:53,360
+الآن ممكن استبدلها بالقيامة ال meanأو الـ Median
+
+68
+00:04:53,360 --> 00:04:58,920
+أو الـ Value .. ال .. عفوا القيم ال boundaries لو
+
+69
+00:04:58,920 --> 00:05:03,160
+أنا بدأ اعتمد على ال meme هضطر اجمع تمانية زائد
+
+70
+00:05:03,160 --> 00:05:06,140
+اربعة .. اربعة زائد تمانية زائد تسعة زائد خمستاشع
+
+71
+00:05:06,140 --> 00:05:10,640
+على اربعة واروح استبدلهم قلعت تسعة بتالي المجموعة
+
+72
+00:05:10,640 --> 00:05:15,640
+الاولى كل element فيها بده يصير تسعة كل element
+
+73
+00:05:15,640 --> 00:05:18,900
+فيها بده يصير تسعة المجموعة التانية المتوسطة
+
+74
+00:05:18,900 --> 00:05:22,670
+الحسابة تبعها كانت تلاتة وعشرين ومن ثم ال ..و
+
+75
+00:05:22,670 --> 00:05:26,050
+هتكون تلاتة و عشرين والاخيرة تسعة و عشرين و هكذا
+
+76
+00:05:26,050 --> 00:05:31,470
+لو انا بدي اشتغل على ال boundaries مفهوم ال
+
+77
+00:05:31,470 --> 00:05:36,270
+boundaries هيهم الأربعة والخمستاش هدولة لل بن
+
+78
+00:05:36,270 --> 00:05:41,130
+الأول او لل partition الأول الآن الأربعة والخمستاش
+
+79
+00:05:41,130 --> 00:05:44,550
+هدولة هتكون ثابتات لاحظ في ال main و ال median انا
+
+80
+00:05:44,550 --> 00:05:48,010
+كل ال partitionالـ values تبعت ال partition
+
+81
+00:05:48,010 --> 00:05:51,970
+بستبدلها بقيمة واحدة، مظبوط؟ اللي كانت بال mean أو
+
+82
+00:05:51,970 --> 00:05:56,190
+ال median التسعة استبدلت كل القيم لكن مع ال part
+
+83
+00:05:56,190 --> 00:05:59,570
+.. مع ال boundaries point بصير .. بتكلم على لأ ال
+
+84
+00:05:59,570 --> 00:06:04,830
+partition الواحد في قيمتين ال minimum و ال maximum
+
+85
+00:06:04,830 --> 00:06:10,090
+الآن باجي بدور على القيم اللي في النص تمانية أقرب
+
+86
+00:06:10,090 --> 00:06:14,240
+لأي boundaryوبعملها replacement لل boundary الأقرب
+
+87
+00:06:14,240 --> 00:06:21,660
+8 أقرب لل 4 أكيد ومن ثم replace 4 9 لل 4 لأن الفرق
+
+88
+00:06:21,660 --> 00:06:26,380
+بينها و بين 4 و 5 و 15 و 6 فهي أقرب لل 4 وبالتالي
+
+89
+00:06:26,380 --> 00:06:31,380
+بعملها replacement بال 4 الان نفس ال 21 و 21 و 24
+
+90
+00:06:31,380 --> 00:06:36,120
+يصير 25 هنا أقرب و هكذا تمام؟ هذا مفهوم ال
+
+91
+00:06:36,120 --> 00:06:40,200
+boundaries لكن تعالى نشوف مثالنبدأ فيه من البداية
+
+92
+00:06:40,200 --> 00:06:44,240
+خالص هنشتغل فيه كتالي حاجة أقول أنا في عندي مثلا
+
+93
+00:06:44,240 --> 00:06:58,400
+القيم بسيطة سبعة تلاتة تمانية سالب واحد اتنين خمسة
+
+94
+00:06:58,400 --> 00:07:09,880
+عشرة تسعة ستة اربعة اتناشروهي كمان مرة تلاتة مش
+
+95
+00:07:09,880 --> 00:07:14,420
+هتفرج معايا الان
+
+96
+00:07:14,420 --> 00:07:19,160
+انا بدي اشتغل او بدي اعمل partition او بدي استخدم
+
+97
+00:07:19,160 --> 00:07:23,460
+two partitions الخطوة
+
+98
+00:07:23,460 --> 00:07:26,200
+رقم واحد طبعا كمان مرة بيتكلم عن ال equal
+
+99
+00:07:26,200 --> 00:07:31,700
+frequency equal frequency هشتغل الان اول خطوة رقم
+
+100
+00:07:31,700 --> 00:07:44,830
+واحد sort هي سالب واحدتنين تلاتة كمان تلاتة عندي
+
+101
+00:07:44,830 --> 00:07:57,970
+أربعة خمسة ستة سبعة تمانية تسعة عشرة معاشر هيك ال
+
+102
+00:07:57,970 --> 00:08:01,990
+data صارت sortedأنا بتكلم على equal frequency
+
+103
+00:08:01,990 --> 00:08:04,210
+equal frequency على two partitions يعني أنا بدي
+
+104
+00:08:04,210 --> 00:08:12,630
+أعدهم من النص 1,2,3,4,5,6,7,8,9,10,11,12,6 مافي
+
+105
+00:08:12,630 --> 00:08:17,290
+عندي مشكلة 1,2,3,4,5,6 هي ال partition أو البن
+
+106
+00:08:17,290 --> 00:08:25,930
+الأول وهي البن الثاني الآن بال mean لو أنا بدي
+
+107
+00:08:25,930 --> 00:08:30,610
+أشتغل بال mean بدي .. مافيش عندي مشكلة بدي أجمعبدي
+
+108
+00:08:30,610 --> 00:08:34,850
+أجمع العناصر و أجسمهم على عددهم على 6، مصبوط؟ بقى
+
+109
+00:08:34,850 --> 00:08:38,930
+بالـ Median القيمة اللي بتيجي في النص بما أن
+
+110
+00:08:38,930 --> 00:08:42,570
+الأعداد اللي عندي هان أعداد عدد العناصر أو عدد
+
+111
+00:08:42,570 --> 00:08:46,770
+البن زوجي مافيش قيمة في النص، فهجيب الـ Average
+
+112
+00:08:46,770 --> 00:08:51,410
+تبعت القيمتين اللي في النص تلاتة و تلاتة، بقى أنا
+
+113
+00:08:51,410 --> 00:08:55,490
+هتكلم بالـ Median تلاتة
+
+114
+00:08:55,490 --> 00:09:00,830
+و تلاتة ستة على اتنين، تلاتةمعناته الآن كل البن
+
+115
+00:09:00,830 --> 00:09:05,450
+هذه بدون يعملها replacement بمين؟ بالتلاتة ..
+
+116
+00:09:05,450 --> 00:09:07,710
+تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة
+
+117
+00:09:07,710 --> 00:09:07,950
+.. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة ..
+
+118
+00:09:07,950 --> 00:09:08,030
+تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة
+
+119
+00:09:08,030 --> 00:09:08,990
+.. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة ..
+
+120
+00:09:08,990 --> 00:09:10,670
+تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة
+
+121
+00:09:10,670 --> 00:09:11,390
+.. تلاتة .. تلاتة .. تلاتة .. تلاتة .. تلاتة ..
+
+122
+00:09:11,390 --> 00:09:19,130
+تلاتة .. تلاتة .. تلاتة .. تلاتة ..
+
+123
+00:09:19,130 --> 00:09:25,690
+تلاتة .. تلاتة .. تل
+
+124
+00:09:26,510 --> 00:09:30,190
+أقول لك شغلاء حتى لو كانت لو كانت ال value تبعتي
+
+125
+00:09:30,190 --> 00:09:36,070
+هذه مش اتناش بدي أخليها واحد وعشرين عشان يكون في
+
+126
+00:09:36,070 --> 00:09:42,950
+عندي out layer حقيقي وانا بدي ايش اخلص منه الان
+
+127
+00:09:42,950 --> 00:09:46,790
+مين عند ال error او ال error واضح وين يا شباب واضح
+
+128
+00:09:46,790 --> 00:09:51,710
+عندى في السالب لأن القيم كلهم موجبة كل القيم موجبة
+
+129
+00:09:51,710 --> 00:09:56,070
+باستثناء السالب واحدوكلها أقاينها حوالين العشرة
+
+130
+00:09:56,070 --> 00:10:01,770
+باستثناء ال 21 هاي ليش أنا جيبت المثال ده بالتحديد
+
+131
+00:10:01,770 --> 00:10:05,190
+عشان أقولك انتبه مش كل الخيارات ممكن تكون مناسبة
+
+132
+00:10:05,190 --> 00:10:10,310
+لك الآن بال mean وال median أنا خلصت وانحلت التمام
+
+133
+00:10:10,310 --> 00:10:14,070
+وراحت ال error زالت لكن لو أنا بدأ أشغل بال
+
+134
+00:10:14,070 --> 00:10:17,190
+boundary point بدأ أشغل على ال boundaries
+
+135
+00:10:26,090 --> 00:10:29,110
+حيظلوا موجودات في وجهي حيظلوا موجودات في ال data
+
+136
+00:10:29,110 --> 00:10:33,450
+set على الرغم إن هما ال outliers اللي أنا كنت عمال
+
+137
+00:10:33,450 --> 00:10:37,250
+بحاول أخلص منه أو بين جثين ال noise data اللي كنت
+
+138
+00:10:37,250 --> 00:10:42,510
+بحاول أخلص منها، مصبوط؟ فانت بدأت تنتبه، تنتبه إنه
+
+139
+00:10:42,510 --> 00:10:47,130
+أنا مش كل واحدة تسبق معايا، الآن اللي حيصير كتالي
+
+140
+00:10:47,130 --> 00:10:52,230
+سلب واحد، سلب اتنين أقرب لسلب واحد ولا للخمسة؟لأ
+
+141
+00:10:52,230 --> 00:10:56,470
+سالب واحد معناته هي سالب واحد سالب واحد التلاتة
+
+142
+00:10:56,470 --> 00:11:03,870
+لسالب واحد ولا خمسة لأ خمسة خمسة خمسة خمسة هان ستة
+
+143
+00:11:03,870 --> 00:11:12,450
+هان ستة ستة ستة ستة ستة ستة واحد وعشرين لاحظ ال
+
+144
+00:11:12,450 --> 00:11:14,910
+out layer بدل ما اخلص منها او ال noise ده بدل ما
+
+145
+00:11:14,910 --> 00:11:19,960
+اخلص منها عززتها كمان واحدةفانت بقتنطبه مش دائما
+
+146
+00:11:19,960 --> 00:11:25,020
+الخيارات هذه بتكوناش perfect بالنسبة لي فانت بتشوف
+
+147
+00:11:25,020 --> 00:11:29,380
+الخيار الأمثل في التعامل تمام وبالتالي خلصنا من
+
+148
+00:11:29,380 --> 00:11:32,480
+الموضوع ال binning طبعا ال binning زي ما انت شايف
+
+149
+00:11:32,480 --> 00:11:36,360
+موضوع بسيط سهل ممكن انا اسيطر عليه بشوية انتباه
+
+150
+00:11:36,360 --> 00:11:41,480
+وتركيز في التعامل الطريقة التانية ان اتخلص من ال
+
+151
+00:11:41,480 --> 00:11:45,040
+noise data ان انا اعمل regression شو يعني
+
+152
+00:11:45,040 --> 00:11:50,520
+regression؟هي عبارة عن الـ predictive task مصبوط
+
+153
+00:11:50,520 --> 00:11:55,340
+بحيث أن أصل على formula أو model يقدر يتنبأ بالقيم
+
+154
+00:11:55,340 --> 00:11:59,720
+زي ما بقول محمد by value الآن لو أنا أجيت و قلتلك
+
+155
+00:11:59,720 --> 00:12:05,860
+النقاط هذه المرسومة قدامي هي بتمثل ال data set
+
+156
+00:12:05,860 --> 00:12:11,260
+تبعتي لاحظ النقاط كلها جاية تمام حوالين الخط هذا
+
+157
+00:12:11,260 --> 00:12:19,800
+باستثناء النقطة اللي جاية هنابصبت؟ ليش جايها؟ لأن
+
+158
+00:12:19,800 --> 00:12:23,520
+فيها noise القيمة تبعتها فيها outlier أو فيها
+
+159
+00:12:23,520 --> 00:12:28,520
+noise معينة فخلتها بعيدة واحدة من الطرق تبعت ال
+
+160
+00:12:28,520 --> 00:12:32,140
+noise handling أو noise data handling ان انا اعمل
+
+161
+00:12:32,140 --> 00:12:35,000
+estimation او اعمل prediction لل regression
+
+162
+00:12:35,000 --> 00:12:41,300
+function او ال line model تبعتي ال line function
+
+163
+00:12:41,300 --> 00:12:45,200
+تبعتي بحيث ان انا ارسم الخط مستقيم اللي بيمثل كل
+
+164
+00:12:45,200 --> 00:12:51,010
+ال dataأرسم خط مستقيم يمثّل كل ال data والخط
+
+165
+00:12:51,010 --> 00:12:56,230
+المستقيم هذا له معادلة الآن بناء على قيمة X اللي
+
+166
+00:12:56,230 --> 00:13:01,190
+عندي هان اللي هي ثابتة بقدر أعمل estimation لمين
+
+167
+00:13:01,190 --> 00:13:06,250
+لقيمة Y الصحيحة هل هذا أنا بدي أطبقه على كل ال
+
+168
+00:13:06,250 --> 00:13:16,160
+data لأ فقط على ال noise data noisy pointوبالتالي
+
+169
+00:13:16,160 --> 00:13:20,580
+هذه القيمة هتطلع وين؟ معايا على الخط وبالتالي
+
+170
+00:13:20,580 --> 00:13:27,120
+هتاخد Y جديدة الفكرة أن الوصول لل regression model
+
+171
+00:13:27,120 --> 00:13:36,520
+هذا أو معادلة الخط المستقيم هي
+
+172
+00:13:36,520 --> 00:13:41,260
+بحد ذاتها data mining task predictive data mining
+
+173
+00:13:41,260 --> 00:13:45,900
+task عشان أعمل estimation لهلـ Value لـ Numeric
+
+174
+00:13:45,900 --> 00:13:49,180
+Value، مظبوط؟ لكن هذه واحدة من القرق اللي ممكن
+
+175
+00:13:49,180 --> 00:13:52,200
+برضه اطبقها انا عندى وها احنا عادة بنسميها احنا
+
+176
+00:13:52,200 --> 00:13:59,000
+Supervised Handling الشغل التالتة او الطريقة
+
+177
+00:13:59,000 --> 00:14:01,740
+التالتة اللي ممكن اعتمد عليها انا موضوع ال
+
+178
+00:14:01,740 --> 00:14:04,120
+clustering ال clustering اللي هي عبارة عن
+
+179
+00:14:04,120 --> 00:14:07,820
+descriptive task في ال data mining تقسيم ال data
+
+180
+00:14:07,820 --> 00:14:13,090
+set لمجموعة منلمجموعات من العناصر مجموعات عفوا
+
+181
+00:14:13,090 --> 00:14:17,270
+مجموعات من العناصر الآن بالصورة هذه واضح ان ال
+
+182
+00:14:17,270 --> 00:14:19,790
+data set تاني قدرت ان نشكلها في تلت مجموعات او
+
+183
+00:14:19,790 --> 00:14:23,610
+نحطها في تلت مجموعات العناصر اللي برا المجموعات
+
+184
+00:14:23,610 --> 00:14:29,930
+هذه ايش تمثل؟ تمثل noise data ممكن تكون outlier
+
+185
+00:14:29,930 --> 00:14:33,450
+صحيح هي outlier بالنسبة لل cluster لكن لل general
+
+186
+00:14:33,450 --> 00:14:36,030
+trend اللي موجود عندك هي مش outlier مش بعيدة كتير
+
+187
+00:14:36,030 --> 00:14:40,560
+يعني ال point هذه هي أقرب لل cluster هذاالـ
+
+188
+00:14:40,560 --> 00:14:43,580
+Outlier فعلياً يا شباب هي نقطة ممكن تكون موجودة
+
+189
+00:14:43,580 --> 00:14:49,200
+هنا بالنسبة للرسمة Outlier يعني نقطة شاذة، لو كانت
+
+190
+00:14:49,200 --> 00:14:52,860
+هذه نقطة واحدة، هذه النقطة فقط هي الموجودة وباقي
+
+191
+00:14:52,860 --> 00:14:56,780
+النقاط اللي برا هذه مش موجودة، بقول عنها Outlier،
+
+192
+00:14:56,780 --> 00:15:01,300
+لكن الآن بما أنه بمثل noise data، قاعد بأتكلم عليه
+
+193
+00:15:01,300 --> 00:15:08,840
+مجموعة من العناصر، الآن قدامي حل من اتنيناما اعتمد
+
+194
+00:15:08,840 --> 00:15:12,140
+فقط على ال data set أو ال elements أو ال samples
+
+195
+00:15:12,140 --> 00:15:16,380
+اللي في داخل ال clusters التلاتة هدول بعد ما عملت
+
+196
+00:15:16,380 --> 00:15:20,820
+clustering و اتجهل او اعمل delete لكل ال noise
+
+197
+00:15:20,820 --> 00:15:25,280
+data هاي بس فعليا أنا قاعد بدحّب عدد كبير من ال
+
+198
+00:15:25,280 --> 00:15:29,520
+data set ولا لأ؟لأ، الحل التاني إن ممكن أنا أستخدم
+
+199
+00:15:29,520 --> 00:15:33,920
+الـ Common Sense أو أروح أفحص كل واحدة فيهم بشكل
+
+200
+00:15:33,920 --> 00:15:38,660
+مستقل إيش الـ Outlier Value أو إيش الـ Noise
+
+201
+00:15:38,660 --> 00:15:41,260
+عفواً، إيش الـ Noise Value اللي خلتها بعيدة عن ال
+
+202
+00:15:41,260 --> 00:15:45,640
+cluster هذي حتما ال point هذه أقرب ل cluster هذا
+
+203
+00:15:45,640 --> 00:15:49,220
+من هذا، قصده ولا لأ؟ إيش اللي خلاها بعيدة هنا؟
+
+204
+00:15:49,220 --> 00:15:52,160
+هتلاقي في Single Value موجودة في attribute معين
+
+205
+00:15:52,160 --> 00:15:57,110
+ممكن هذه أروح أعملها Adjustment و أضيفها لمين؟للـ
+
+206
+00:15:57,110 --> 00:15:59,890
+cluster اللي موجود عشان مضحيش بال data لكن لو كانت
+
+207
+00:15:59,890 --> 00:16:03,410
+نقطة أو تنتين ومش قادرة تحاول تعملهم handling ضمن
+
+208
+00:16:03,410 --> 00:16:06,990
+العدد الكبير اللي موجود عندي هنا فممكن تحذفهم و
+
+209
+00:16:06,990 --> 00:16:11,130
+تخلص الان في ال clustering و بتحديدا مع ال
+
+210
+00:16:11,130 --> 00:16:15,390
+visualization سواء كنت في ال regression أو بال
+
+211
+00:16:15,390 --> 00:16:19,790
+clustering لاحظ الرسمة كانت بتخدمني بشكل كبير في
+
+212
+00:16:19,790 --> 00:16:23,790
+موضوع كده أفهم ال data اللي موجود عندي وقدرت أحدد
+
+213
+00:16:23,790 --> 00:16:30,640
+من ال outlierبكل بساطة وهيك بتكون خلصنا من معالجة
+
+214
+00:16:30,640 --> 00:16:36,220
+ال noise data خلصنا من معالجة ال noise data في ال
+
+215
+00:16:36,220 --> 00:16:40,580
+inconsistent data inconsistent data غير متناسقة
+
+216
+00:16:40,580 --> 00:16:48,580
+عمره 40 سنة و تاريخ ميلاده 1990 male و pregnant
+
+217
+00:16:48,580 --> 00:16:56,540
+مولود في 1900 وخشبة و طالب سنة أولى ابتدائيفهذه
+
+218
+00:16:56,540 --> 00:17:00,960
+المعلومات هي الـ Inconsistent تتوقع ممكن تلاقي
+
+219
+00:17:00,960 --> 00:17:08,700
+system في الدنيا يحددلك إياها؟
+
+220
+00:17:08,700 --> 00:17:12,540
+أيوة، يعني بدك يكون فعليا Dedicated System تم
+
+221
+00:17:12,540 --> 00:17:16,300
+إنشاء نظام للحالات اللي زي هذه وحط ال rules زي ما
+
+222
+00:17:16,300 --> 00:17:21,400
+عمله بجول كريم بس الآن في موضوع المال و pregnant
+
+223
+00:17:21,400 --> 00:17:26,250
+الحامل للذكور هل هذا وارد؟في عمر واحد عاجل بيفكر
+
+224
+00:17:26,250 --> 00:17:30,070
+يبني rule زي هيك عشان يدور لأنه الأصل لأ، لكن في
+
+225
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+ابنيلها system بسيط يعمل ال check تماما زي اللي
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+بتكلم عن ال spelling check programs الان الخطاء
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+233
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+اتكلم بال hands up
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+حمزة مكسورة، حمزة مفتوحة، حمزة مضمومة والإنجليز
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+بس هذا الكلام وارد عشان تقدر توافق على سبيل المثال
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+في ال integration لما نجيه كمان شوية بدي أجمع two
+
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+datasets مع بعضهم لجيت رقم واحد، اتنين، تلاتة،
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+اللي جاي من وزارة الصحة 1234 والاسم مكتوب Dennis
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+267
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+1234 و1 خليل و2 حسن
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+276
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+كيبك تصلحها؟ كيبك تصلح الـ inconsistent data؟
+
+277
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+
+278
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+Manual، يعني لازم أرجع لل documents و أقارن ال
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+279
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+فالمية من الطلاب الموجودين بيننا الآن في المحاضرة
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+284
+00:21:58,570 --> 00:22:01,290
+في ال data mining من موريد الف وتسعمائية وخشبة
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+285
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+مستحيل
+
+286
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+290
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+الـ Consistency تبع الـ Data و تحديد الـ
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+294
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+Inconsistent Values الـ Metadata ليش؟
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+295
+00:22:46,440 --> 00:22:48,820
+لأن في الـ Metadata باجي أتكلم على الـ Domain و
+
+296
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+يعني احنا بفهم بناء على الخطوة هاي إذا كان في عندي
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+two من different resources الأصل .. الأصل أن أعمل
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+cleaning لتنتين جبل ما أعمل integration ليش؟
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+السليم يعني في مرحلة ما بعد ال cleaning عشان اضمن
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+يصير في عندي combination صح لل data set الآن
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+resources تربية و التعليم و الصحة و بدي اعمل
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+samples، مظبوط؟ الشغل
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+more information for
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+لأن هان مش هعمل على ال enlargement لل data set مش
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+371
+00:29:01,940 --> 00:29:05,460
+هزيد عدد ال rows هزيد عدد ال attributes
+
+372
+00:29:12,330 --> 00:29:21,810
+الان لو انا بدي اعمل data set بسيطة هنا ال
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+00:29:21,810 --> 00:29:31,090
+ID
+
+374
+00:29:31,090 --> 00:29:36,110
+ال name ال
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+375
+00:29:36,110 --> 00:29:39,150
+age و ال level
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+376
+00:29:42,930 --> 00:29:50,070
+والـ GPA أو الـ Average GPA متوسط
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+00:29:50,070 --> 00:29:56,130
+تحصيله هذه المعلومات من وين؟ من المدرسة أو من
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+00:29:56,130 --> 00:30:04,130
+وزارة التدريب والتعليم في وزارة الصحة مافيش
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+00:30:04,130 --> 00:30:08,110
+اهم مافيش
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+بتكلم على ال weight العمر
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+382
+00:30:18,850 --> 00:30:29,210
+مثلا هاي ال age date of birth ليكن ال weight ال
+
+383
+00:30:29,210 --> 00:30:36,770
+height illness هل في أمراض ولا لأ هل بتدناول أدوية
+
+384
+00:30:36,770 --> 00:30:40,350
+ولا لأ treatment إلى آخره الأهم أنا بدي أعمل
+
+385
+00:30:40,350 --> 00:30:45,640
+combinationأو بدي أجمع الـ two data set هدول عشان
+
+386
+00:30:45,640 --> 00:30:49,500
+ال task تبعتي هدفها كمان مرة للمرة كده أشهد الألف
+
+387
+00:30:49,500 --> 00:30:54,580
+تمام؟ كمان مرة بنتكلم أنه أنا بدي أحاول أعمل
+
+388
+00:30:54,580 --> 00:31:00,560
+prediction لمستوى تحصيل الطالب بناء على سجله الصحي
+
+389
+00:31:00,560 --> 00:31:06,360
+ال combination هذا هيصير هاني علي أبو الخير صحيح؟
+
+390
+00:31:10,100 --> 00:31:15,820
+تمام هذا ال raw أو ال data set بدها تكون هنا وكأني
+
+391
+00:31:15,820 --> 00:31:24,320
+بكل بساطة بدي اعمل inner join بين two tables فهذه
+
+392
+00:31:24,320 --> 00:31:26,880
+ال combination كان هدفها او هذه ال integration
+
+393
+00:31:26,880 --> 00:31:32,420
+هدفها اضافة معلومات جديدةلكل entity لكل sample لأن
+
+394
+00:31:32,420 --> 00:31:36,600
+عشان تتحقق ال task الموجودة لكن لو قلنا والله أن
+
+395
+00:31:36,600 --> 00:31:42,360
+الطالب هذا كان فترة الإبتدائي عايش أو بدرس في
+
+396
+00:31:42,360 --> 00:31:46,520
+مدرسة خاصة أو مدرسة خاصة والمعلومات هذه ماكنتش
+
+397
+00:31:46,520 --> 00:31:50,560
+موجودة في وزارة الصحة وقدرنا نحصل المعلومات هذه من
+
+398
+00:31:50,560 --> 00:31:57,880
+المدرسة وين بدها تنضاف؟ بدها تنضاف record 10 بدها
+
+399
+00:31:57,880 --> 00:32:05,910
+تنضافrecord هان تمام وبالتالي مصادر البيانات تبعتي
+
+400
+00:32:05,910 --> 00:32:10,750
+انا تصنف على واحد من اتنين اما internal او
+
+401
+00:32:10,750 --> 00:32:14,390
+external internal لما انا بكون as a developer او
+
+402
+00:32:14,390 --> 00:32:19,890
+data scientist شغال والمعلومات هذه ملكي يعني انا
+
+403
+00:32:19,890 --> 00:32:23,530
+شغال في وزارة التربية والتعليم وبدنا نشتغل على كذا
+
+404
+00:32:23,530 --> 00:32:27,790
+هذه المعلومات عندى موجودة في ال database تبعتي
+
+405
+00:32:29,690 --> 00:32:33,650
+تمام؟ هذه بنسميها Internal Source طب و ال External
+
+406
+00:32:33,650 --> 00:32:37,930
+Source أنه أنا فعليا بيانات بدي أحاول أستعيد ..
+
+407
+00:32:37,930 --> 00:32:42,690
+ممكن أدفع حجها أحيانا أحصل عليها من برا الآن
+
+408
+00:32:42,690 --> 00:32:47,870
+بالنسبة إيه للبيانات في وزارة الصحة External ..
+
+409
+00:32:47,870 --> 00:32:54,370
+الآن لما بدك .. روحت الآن ال ..يتكلموا على الشركات
+
+410
+00:32:54,370 --> 00:32:58,270
+الإتصالات والبنوك والـ Credit Cards والمعاملات مش
+
+411
+00:32:58,270 --> 00:33:03,170
+كل المعلومات Local مصبوط؟ بنك فلسطين الآن Local
+
+412
+00:33:03,170 --> 00:33:05,990
+لما أنا بكون جوا فلسطين و بستخدم ال ATM تبعته
+
+413
+00:33:05,990 --> 00:33:09,690
+بأنتقل باستخدام ATM بتاعة البنك الإسلامي الفلسطيني
+
+414
+00:33:09,690 --> 00:33:14,440
+أو العربي بديت فيه عندي Transaction Externalكنت في
+
+415
+00:33:14,440 --> 00:33:17,440
+دولة تانية و استخدمت بطاقة بنك فلسطين برضه فيها
+
+416
+00:33:17,440 --> 00:33:20,800
+عندى external data وإن كان حصير فيه hint أو فيه
+
+417
+00:33:20,800 --> 00:33:25,400
+عندى مقاصة لل value اللى موجودة مش قضية كتير بس
+
+418
+00:33:25,400 --> 00:33:28,320
+احنا بدنا نفهم انه فيه عندى ال data تصنف بناء على
+
+419
+00:33:28,320 --> 00:33:35,540
+مصدرها وعادة التعامل مع ال internalأسهل من ال
+
+420
+00:33:35,540 --> 00:33:39,580
+external لأن عادة ال internal أنا فاهمها كويس عارف
+
+421
+00:33:39,580 --> 00:33:43,540
+إيش محتوياتها عارف إيش عيوبها بالتفصيل و بقدر لكن
+
+422
+00:33:43,540 --> 00:33:47,700
+اللي برا تحتاج مني جهد أكتر و غالبا ما هي مش على
+
+423
+00:33:47,700 --> 00:33:52,420
+مزاجي فحتى عب عليها كويس في موضوع ال integration
+
+424
+00:33:52,420 --> 00:33:58,400
+ضروري تنتبه لل identity identification أنا قبل
+
+425
+00:33:58,400 --> 00:34:03,000
+شوية قلت اسمه واحد اتنين تلاتة أربعة و مرة أحمد
+
+426
+00:34:04,240 --> 00:34:10,340
+ومرة تانية خليل اعمل
+
+427
+00:34:10,340 --> 00:34:14,960
+merge لل two rows هذول يعني اسمه هان واحد اتنين
+
+428
+00:34:14,960 --> 00:34:21,900
+تلاتة اربعة احمد وانا واحد اتنين تلاتة اربعة خليل
+
+429
+00:34:21,900 --> 00:34:27,740
+وانا بقعد بدي اعمل integration بين ال two datasets
+
+430
+00:34:27,740 --> 00:34:35,440
+هذول شو رايكوا اذا انا بدي اعتمد على ال ID هيهال
+
+431
+00:34:35,440 --> 00:34:40,940
+ID بيقوللي ادمج نصبوت؟ ال ID بيقوللي ادمج اذا كنت
+
+432
+00:34:40,940 --> 00:34:43,680
+انا بدي اعتمد فقط على ال primary key بيقوللي ادمج
+
+433
+00:34:43,680 --> 00:34:49,180
+بس في شغل عاملها بتقوللي لا ايجف يعني هذا شخص ممكن
+
+434
+00:34:49,180 --> 00:34:55,240
+يكون غيره شو بيطلب مني هذا الكلام؟ خلصنا من ال
+
+435
+00:34:55,240 --> 00:34:58,300
+noise شو بيطلب مني هذا الكلام؟ انا الآن مش عارف
+
+436
+00:34:58,300 --> 00:35:02,340
+مين فيهم ال noise داتا اذا كانت بتتكلمي تمام؟
+
+437
+00:35:02,340 --> 00:35:04,540
+ignore ال record ممتاز
+
+438
+00:35:06,980 --> 00:35:10,280
+طيب ليش ما تفكر انه ليش ما يكون في وزارة الصحة
+
+439
+00:35:10,280 --> 00:35:15,060
+مجدمين اسم العائلة مثلا يعني احنا هنعتمدنا على ال
+
+440
+00:35:15,060 --> 00:35:17,500
+first name هو اسم العائلة وبالتالي مازالين بس
+
+441
+00:35:17,500 --> 00:35:21,140
+اتحقق شو هو بقى الأسامي اللي موجودة انا أخدتها
+
+442
+00:35:21,140 --> 00:35:25,860
+الان انتبه انا بدي الاسم الأول او بدي ال full name
+
+443
+00:35:25,860 --> 00:35:30,320
+الان في حياة ال full name و ال full name مختلفين و
+
+444
+00:35:30,320 --> 00:35:34,020
+ال ID واحد لسه ما زلت انا بدي احاول اتشبث بال
+
+445
+00:35:34,020 --> 00:35:38,850
+recordو أخلّيه عندى بأكبر قدر ممكن باطلّع على باقي
+
+446
+00:35:38,850 --> 00:35:45,530
+مثلا باطلّع على ال age 17 17 إذا هل في common
+
+447
+00:35:45,530 --> 00:35:49,910
+attributes بين التنين بيأكدولي إن هذا هو نفسه هذا
+
+448
+00:35:49,910 --> 00:35:53,810
+ممكن أصيب أتجوز عن من؟ عن الإسم لأنه فعلا الإسم مش
+
+449
+00:35:53,810 --> 00:35:57,690
+هيخدمني بس أنا حاليا بدي أتأكد إن هذا real entity
+
+450
+00:35:57,690 --> 00:36:01,910
+موجودة عندى في ال data set هذه بنسميها ال entity
+
+451
+00:36:01,910 --> 00:36:03,550
+identification
+
+452
+00:36:05,840 --> 00:36:08,740
+الproblem ال value of conflict او ال value
+
+453
+00:36:08,740 --> 00:36:17,860
+conflict التعارض ما بين القيم لجيت عمره هان 17 و
+
+454
+00:36:17,860 --> 00:36:27,520
+هان لجيته 15 انا في الآخر هحتفظ ب one edge مظبوط؟
+
+455
+00:36:27,520 --> 00:36:32,840
+يعني غالبا ال edge هان مش هجيب ليه طب باس مين فيهم
+
+456
+00:36:32,840 --> 00:36:36,900
+الصح؟الخمسة عشر ولا السبعتاشر؟ ال date of birth
+
+457
+00:36:36,900 --> 00:36:43,760
+هنا موجود قاللي والله انه تاريخ ميلاده هذا الفين
+
+458
+00:36:43,760 --> 00:36:48,180
+وخمسة واحنا الفين وعشرين ميلاده خمسة عشر ميلاده
+
+459
+00:36:48,180 --> 00:36:52,240
+الخطأ عندي هنا وهذا بتطلب برضه مني manual
+
+460
+00:36:52,240 --> 00:36:56,860
+correctness عشان اعدي ال level ممكن يكون عندي
+
+461
+00:36:56,860 --> 00:37:01,120
+indicatorطبعا لكن بيظل فيه احتمال ان هو فعليا ايش
+
+462
+00:37:01,120 --> 00:37:04,600
+يكون مثلا اتأخر سنة او رصب سنة او ما شابه لكن ال
+
+463
+00:37:04,600 --> 00:37:08,140
+date of birth كان بيقول لأ يا اما هو متأكد لان هو
+
+464
+00:37:08,140 --> 00:37:12,420
+بيقطفيه تقابق ما بين ال values ال redundant
+
+465
+00:37:12,420 --> 00:37:21,100
+teachers انا مافيش عندي ال age هنا لكن
+
+466
+00:37:21,100 --> 00:37:26,140
+عنديdate of birth تاريخ الميلاد لما انا اعمل
+
+467
+00:37:26,140 --> 00:37:30,140
+marriage تاريخ الميلاد هيجينيها ك attribute لكن
+
+468
+00:37:30,140 --> 00:37:35,220
+المعلومات اللي فيها موجودة عندى سابقا فبرضه انا
+
+469
+00:37:35,220 --> 00:37:38,820
+بدى أنتبه لها يعني في عندى تلت شغلات أساسية بدى
+
+470
+00:37:38,820 --> 00:37:42,320
+أنتبه لعندي عملية ال integration اتأكد من ال
+
+471
+00:37:42,320 --> 00:37:46,020
+identification لكل entity اللي فعليا ال entity
+
+472
+00:37:46,020 --> 00:37:51,340
+تقابل ال entity المقابلة بتاعتها بشكل صحيحالـ
+
+473
+00:37:51,340 --> 00:37:54,300
+value conflict أو الـ inconsistent اللي ممكن تصير
+
+474
+00:37:54,300 --> 00:37:56,660
+عندي زي ما صار معايا في الاسم أو صار معايا في ال
+
+475
+00:37:56,660 --> 00:38:02,380
+age وفي الآخر في ال redundant features أو في تكرار
+
+476
+00:38:02,380 --> 00:38:08,060
+ال attributes اللي موجودة عندي وبرضه الشغل هيكون
+
+477
+00:38:08,060 --> 00:38:13,740
+manual ممكن اكتب code عشان يعمل integration لو انت
+
+478
+00:38:13,740 --> 00:38:17,820
+طبقت عملت ال inner join بين ال two tables هدول ايش
+
+479
+00:38:17,820 --> 00:38:24,280
+اللي بصير؟بياخد ال rows بناء على ال ID ال ID
+
+480
+00:38:24,280 --> 00:38:29,920
+المختلف بين التنين مابيطلعش يعني تخيل ان هنا واحد
+
+481
+00:38:29,920 --> 00:38:36,660
+اتنين تلاتة تسعة مافيش هنا وهنا عندي واحد اتنين
+
+482
+00:38:36,660 --> 00:38:42,860
+تلاتة تمانية مش موجود هنا هذا ال row مش هيظهر وهذا
+
+483
+00:38:42,860 --> 00:38:47,200
+ال row مش هيظهر ولا لأ؟ ليش؟ لأن فعليا مافيش
+
+484
+00:38:47,200 --> 00:38:51,220
+integration ما بين ال rows اللي موجودةلكن لاحظوا
+
+485
+00:38:51,220 --> 00:38:55,760
+المشكلة دي انا ماعانيت منها مطلقا لما روحت جيبت
+
+486
+00:38:55,760 --> 00:39:00,260
+مصدر تاني للبيانات وصرت اجمعها عشان ازيد مين؟ عدد
+
+487
+00:39:00,260 --> 00:39:04,000
+الروز لان في الآخر انا جيبت من المدرسة الخاصة جيبت
+
+488
+00:39:04,000 --> 00:39:08,180
+ال name و ال age و ال level و ال GPA لمجموع الطلاب
+
+489
+00:39:08,180 --> 00:39:13,120
+عشان ازيد ازيد محصلة الروز اللي موجودة عندها
+
+490
+00:39:19,090 --> 00:39:24,050
+هننتقل الآن لموضوع الـ Data Transformation اللي هي
+
+491
+00:39:24,050 --> 00:39:30,150
+الخطوة الرب العد ايوة أهب تفضل اسأل مثلا زي
+
+492
+00:39:30,150 --> 00:39:33,850
+الميديا اللي جيت العالم الأول بسيط هجيته فعلا فعلا
+
+493
+00:39:33,850 --> 00:39:37,070
+هذا مثلا الإنسان بدري يعمل بحث زي هيك هل فعلا مهتم
+
+494
+00:39:37,070 --> 00:39:41,430
+في ال record زي ما هذا ولا بس انه اتعلم الصحيح؟
+
+495
+00:39:41,430 --> 00:39:45,210
+شوفي أهب كل record بتضيفه على ال data set الأصل
+
+496
+00:39:45,210 --> 00:39:49,450
+بتضيف لك knowledge جديدة و بقوّي ال ruleأو الـ
+
+497
+00:39:49,450 --> 00:39:52,550
+predictors اللي انت بدك تنشئه عشان هيك فعليًا انت
+
+498
+00:39:52,550 --> 00:39:58,150
+محتاجه كل ما كانت عدد ال data set قليلة أو
+
+499
+00:39:58,150 --> 00:40:05,170
+المعلومات اللي عندك قليلة انت بحاجة لأي .. أي شغل
+
+500
+00:40:05,170 --> 00:40:08,730
+بتعزز البيانات اللي موجودة عندك حتى لو one record
+
+501
+00:40:08,730 --> 00:40:13,270
+بدك تضيفه لكن ال data set اللي عندي حجمها 100 ألف
+
+502
+00:40:13,270 --> 00:40:17,950
+recordولا جيت عشرة record أو ميت record أو ألف
+
+503
+00:40:17,950 --> 00:40:23,870
+record في مكان ما مش ضروري أفكر فيهم كتير إذا أنا
+
+504
+00:40:23,870 --> 00:40:26,450
+واثق في البيانات اللي عندي لكن لو كانوا الألف
+
+505
+00:40:26,450 --> 00:40:30,110
+record هدول بمثله حالة خاصة وانا بدي أدرجها في
+
+506
+00:40:30,110 --> 00:40:33,090
+النظام تبعتي لازم أعملها integration للميت ألف
+
+507
+00:40:33,090 --> 00:40:37,890
+اللي عندي وصيروا ميت ألف وواحد تمام؟ أو مية وواحد
+
+508
+00:40:37,890 --> 00:40:42,570
+ألف في موضوع ال transfer .. في أي شباب عنده ..
+
+509
+00:40:42,570 --> 00:40:48,020
+شباب في حد عنده أي سؤال تانيهننتقل لموضوع أو نكمل
+
+510
+00:40:48,020 --> 00:40:51,100
+في ال steps و بنحاول إن شاء الله الأسبوع هذا ننهي
+
+511
+00:40:51,100 --> 00:40:53,540
+ال chapter اللي احنا بنشتغل فيه لأنه صارنا قداشة
+
+512
+00:40:53,540 --> 00:40:55,320
+هذا الأسبوع التالت و احنا بنخد في ال data
+
+513
+00:40:55,320 --> 00:40:58,620
+understanding و ال preparation فبديش ياخد تحسه
+
+514
+00:40:58,620 --> 00:41:03,540
+بالملل فبنروح باتجاه ال mining إن شاء الله الآن في
+
+515
+00:41:03,540 --> 00:41:07,900
+ال data transformation المقصود فيها تحويل أو تحوير
+
+516
+00:41:07,900 --> 00:41:14,330
+البيانات من formمن صورتها الحالية اللى تظهر بصورة
+
+517
+00:41:14,330 --> 00:41:19,910
+تتناسب مع ال mining task عاما اللى احنا بنقول بقول
+
+518
+00:41:19,910 --> 00:41:22,430
+انا في عندى تاريخ الميلاد يا جماعة الخير date of
+
+519
+00:41:22,430 --> 00:41:22,750
+birth
+
+520
+00:41:27,040 --> 00:41:30,680
+القيم اللي موجودة فيه .. القيم اللي موجودة فيه
+
+521
+00:41:30,680 --> 00:41:35,760
+بتقول إذا أنا بدي أبني decision rules هيكون عندي
+
+522
+00:41:35,760 --> 00:41:39,580
+ال values كتيرة لأنه انولد في شهر واحد غير ان
+
+523
+00:41:39,580 --> 00:41:42,320
+انولد في شهر اتنين في عندى تلاتين خيار في شهر واحد
+
+524
+00:41:43,080 --> 00:41:49,060
+و28 في شهر 2 و 31 في شهر 3، مصبوط؟ معناته على مدار
+
+525
+00:41:49,060 --> 00:41:53,500
+السنة، يعني أنا بتكلم هيك وكأنه وكأنه عندي 365
+
+526
+00:41:53,500 --> 00:41:59,420
+variable أو value بدها تدخل في ال decision rules
+
+527
+00:41:59,420 --> 00:42:04,480
+تبعي هذاهذا الكلام مش منطق بينما كل الناس اللي في
+
+528
+00:42:04,480 --> 00:42:08,680
+مستوى أول مثلا أو في فئة الجامعة هدولة فئة واحدة
+
+529
+00:42:08,680 --> 00:42:12,260
+طلاب المدارس في الثانوية فئة تانية اللي من الإعداد
+
+530
+00:42:12,260 --> 00:42:16,880
+يو انزل فئة تالتة الخرجين فئة رابعة فهذه الفئات
+
+531
+00:42:16,880 --> 00:42:22,740
+تاريخ الميلاد هذا مابكفنيش يا راني تاريخ الميلاد
+
+532
+00:42:22,740 --> 00:42:27,460
+هذا مابنفعنيش فانا محتاج ان اغير صورة تاريخ
+
+533
+00:42:27,460 --> 00:42:28,120
+الميلاد
+
+534
+00:42:34,920 --> 00:42:42,620
+الى age بال age بكون انا عملت ايش قللت ال value
+
+535
+00:42:42,620 --> 00:42:46,360
+اللى موجودة قللت ال value اللى موجودة عندى
+
+536
+00:42:46,360 --> 00:42:53,260
+وبالتالي قللت ال decision rules تبعتي لكن لاحظ ان
+
+537
+00:42:53,260 --> 00:42:56,840
+تاريخ الميلاد و ال age اللى كتب معاه نفسه من ال
+
+538
+00:42:56,840 --> 00:43:04,190
+2005 و كتبت ال age 15 مافقدتش المعلومة تبعتيمصبوب؟
+
+539
+00:43:04,190 --> 00:43:07,090
+والأفضل من هيك لو جسمتم لفئات زي ما هنشوف كمان
+
+540
+00:43:07,090 --> 00:43:13,110
+شوية فمن ال data transformation method ل smoothing
+
+541
+00:43:13,110 --> 00:43:19,430
+method لما عملت pinning عبارة عن smoothing method
+
+542
+00:43:19,430 --> 00:43:24,190
+ال regression smoothing method بس هدفها الأساسي
+
+543
+00:43:24,190 --> 00:43:30,110
+تخلص من ال noise واحد يقول ليه ال smoothing
+
+544
+00:43:30,110 --> 00:43:33,650
+حطيناها من ال transformation؟ال data أخدت صور
+
+545
+00:43:33,650 --> 00:43:38,150
+مختلفة البن الأولى أخدت قيمة بدل كل القيم اللي
+
+546
+00:43:38,150 --> 00:43:42,810
+كانت في البن ايش أخدت؟ أخدت ال median او أخدت ال
+
+547
+00:43:42,810 --> 00:43:47,870
+mean أربعة فبالتالي القيم تغيرت كانت شكل وصارت شكل
+
+548
+00:43:47,870 --> 00:43:54,190
+آخر ال values اللي عندي كانت 17 مليون
+
+549
+00:43:57,970 --> 00:44:01,050
+الأرقام هذه كبيرة ما بتتناسبش مع ال computation
+
+550
+00:44:01,050 --> 00:44:06,770
+تبعتي فانا بدي أخليها 1.7 كذلك ال 18 وال 20 مليون
+
+551
+00:44:06,770 --> 00:44:13,410
+ال 20 صارت 2 و ال 1.5 صارت 15 و هكذا فهذا التحوير
+
+552
+00:44:13,410 --> 00:44:18,170
+ال data كانت في صورة وصارت في صورة مختلفة
+
+553
+00:44:22,870 --> 00:44:26,570
+God كان بهدف التخلص من الـ Noise، تمام؟ لكن
+
+554
+00:44:26,570 --> 00:44:30,010
+فعليًا، فعليًا الـ Data اللي صارت موجودة في الـ
+
+555
+00:44:30,010 --> 00:44:35,310
+Attribute هي عبارة عن New Transformation، تحور للـ
+
+556
+00:44:35,310 --> 00:44:38,830
+Data، مصدورة لا لأ؟ ضالت الـ Original Data؟ لأ،
+
+557
+00:44:38,830 --> 00:44:41,750
+فعليًا صار عليها تحور، عشان هيك ذكرناها أول واحدة،
+
+558
+00:44:41,750 --> 00:44:46,370
+لأنها مرت علينا سابقًا الـ Aggregation، أنا فعليًا
+
+559
+00:44:46,370 --> 00:44:50,810
+ممكن أروح أضيف أو أعمل شغلات، يعني الآن بروح بقولي
+
+560
+00:44:50,810 --> 00:44:56,410
+والله بدنا نحسبان نحاول نتنبأ ان الموظف الحكومي
+
+561
+00:44:56,410 --> 00:45:05,490
+بعد كام سنة ممكن يشتري بيت يا
+
+562
+00:45:05,490 --> 00:45:09,940
+عم الله يرزق الجميع من فضله ان شاء اللهأنا عند
+
+563
+00:45:09,940 --> 00:45:14,120
+الراتب الشهري لكن عادة الراتب الشهري مبلغ قليل
+
+564
+00:45:14,120 --> 00:45:17,620
+ماحدش بدور عليه في التعاملات اللي زي هذه بروح بده
+
+565
+00:45:17,620 --> 00:45:21,620
+الراتب السنوي طب أنا ماعنديش الراتب السنوي عند بس
+
+566
+00:45:21,620 --> 00:45:27,000
+الراتب الشهري بأضربه ب12 بأضربه ب12 مظبوط؟ ايش
+
+567
+00:45:27,000 --> 00:45:30,800
+سويت .. كل السنوات و أنا عملية ضرب بس فعليا نقلت
+
+568
+00:45:30,800 --> 00:45:36,070
+ال dataمن Range وحطتليها في Range مختلف وهذه برضه
+
+569
+00:45:36,070 --> 00:45:39,210
+Transformation فنسميها احنا Aggregation
+
+570
+00:45:39,210 --> 00:45:42,450
+Transformation او Aggregate Transformation
+
+571
+00:45:42,450 --> 00:45:46,530
+Generalization لما انا بأتكلم ان ال data ال set
+
+572
+00:45:46,530 --> 00:45:53,330
+تبعت فيه تتبع Hierarchy معينة زي ايش انا في عند ال
+
+573
+00:45:53,330 --> 00:46:00,930
+country وفي عندي ال set ال state وعندي
+
+574
+00:46:02,180 --> 00:46:08,860
+الـ city وعندي ال neighborhood الحي
+
+575
+00:46:08,860 --> 00:46:18,100
+وعندي ال street مثلا شو
+
+576
+00:46:18,100 --> 00:46:24,100
+علقت هدول في بعض الشارع عنوان تفصيل العنوان الشارع
+
+577
+00:46:24,100 --> 00:46:27,040
+موجود في حي و الحي موجود في مدينة و المدينة موجود
+
+578
+00:46:27,040 --> 00:46:32,290
+في ولاية و الولاية بتتبع دولةأنا الآن العنوان اللي
+
+579
+00:46:32,290 --> 00:46:39,890
+موجود عندي مكتوب لحالة مستوى الشارع غزة
+
+580
+00:46:39,890 --> 00:46:45,010
+الرمال شارع عمرو بن عبدالعزيز هذا بس عشان يُنذَكر
+
+581
+00:46:45,010 --> 00:46:52,070
+خلال اليومين الماضيات في الخبار طبعا؟ الآن طب هل
+
+582
+00:46:52,070 --> 00:46:55,150
+التفاصيل هذه بهمني أنا؟ طب ما هي ال redundant
+
+583
+00:46:55,150 --> 00:47:00,180
+value أو عفوا القيم الكتيرة المختلفة هذه؟برضه
+
+584
+00:47:00,180 --> 00:47:03,060
+بتصعب موضوع ال decision تبعتي طبما هي الرمال كلها
+
+585
+00:47:03,060 --> 00:47:09,420
+منطقة واحدة فانا بدي استغني عن ال street واصير
+
+586
+00:47:09,420 --> 00:47:13,760
+اتكلم على ال neighborhood وحتى ال neighborhood مش
+
+587
+00:47:13,760 --> 00:47:19,660
+فارج كبير رمال وشجعية مش فارج كتير تمام فانا هضطر
+
+588
+00:47:21,060 --> 00:47:24,080
+لاحظ انه لما انا بتكلم على transformation يا جماعة
+
+589
+00:47:24,080 --> 00:47:27,020
+الخير لاحظوا يا جماعة الخير انه لما انا بأعمل
+
+590
+00:47:27,020 --> 00:47:33,720
+transformation بحول ال value من street ل
+
+591
+00:47:33,720 --> 00:47:38,340
+neighborhood او ل city فقدت معلوماتش ايه؟ لأ هي
+
+592
+00:47:38,340 --> 00:47:41,220
+نفس المعلومات نفس ال representation بس انا مش
+
+593
+00:47:41,220 --> 00:47:44,200
+بحاجة ل two details هاي هذا برضه بنسميه
+
+594
+00:47:44,200 --> 00:47:48,810
+transformationالـ Normalization الـ Normalization
+
+595
+00:47:48,810 --> 00:47:56,310
+فعليًا أنا بده أروح أعمل Scaling لل Data Scaling
+
+596
+00:47:56,310 --> 00:47:59,710
+زي ما قلنا 17 مليون أو الأرقام اللي عندي كبيرة
+
+597
+00:47:59,710 --> 00:48:03,130
+فبده أروح أقللها أو بده أحطه ضمن Range معين وهنا
+
+598
+00:48:03,130 --> 00:48:07,910
+بدنا عمليات حسابية وهذه هروح لها بتفاصيل الآن الـ
+
+599
+00:48:07,910 --> 00:48:11,330
+Attribute Construction زي ما قلت أنا عندي تاريخ
+
+600
+00:48:11,330 --> 00:48:14,810
+الميلادو تاريخ الميلاد مابديش ايه بديش إياه بدي
+
+601
+00:48:14,810 --> 00:48:20,030
+أحط ال age أو بدي أبني الفئة العمرية و كل التفاصيل
+
+602
+00:48:20,030 --> 00:48:25,450
+هاي كلها عبارة عن different transformation لل data
+
+603
+00:48:25,450 --> 00:48:31,030
+كمان مرة transformation لا يعني إن أنا القيمة
+
+604
+00:48:31,030 --> 00:48:35,150
+تغيرت الجوهر ال value موجود لكن الصورة اللي ظهرت
+
+605
+00:48:35,150 --> 00:48:37,950
+عليها مختلفة
+
+606
+00:48:38,930 --> 00:48:44,390
+طيب، الآن بدنا نروح على الـ Transformation اللي له
+
+607
+00:48:44,390 --> 00:48:47,190
+علاقة بالـ Normalization لأن هنا في عندي
+
+608
+00:48:47,190 --> 00:48:50,770
+Mathematical Forms لازم أفهمها كويس و أفهم النتيجة
+
+609
+00:48:50,770 --> 00:48:53,910
+من كل واحدة فيهم كل الكلام اللي احنا قلناه سابقا
+
+610
+00:48:53,910 --> 00:48:57,380
+جربنا ال smoothingوالـ aggregation بسيطة هي عبارة
+
+611
+00:48:57,380 --> 00:49:00,480
+عن computation بسيطة ممكن تصير موجودة عندي و ال
+
+612
+00:49:00,480 --> 00:49:03,420
+generalization مافيش عليها شغل كتير زي ما احنا
+
+613
+00:49:03,420 --> 00:49:07,080
+شوفناه الآن ال attribute construction برضه عبارة
+
+614
+00:49:07,080 --> 00:49:09,920
+عن attribute جديد بدي انبنى بناء على values موجودة
+
+615
+00:49:09,920 --> 00:49:15,360
+مسبقا الان ال normalization هذه تقريبا أصعبهم و
+
+616
+00:49:15,360 --> 00:49:20,530
+بدنا نشتغل علىبشكل جيد لكن لأ أخفيكوا أنا الصحيح
+
+617
+00:49:20,530 --> 00:49:23,810
+اللي اليوم الصبح غيرت في ال slides فاللي طاب عليه
+
+618
+00:49:23,810 --> 00:49:26,670
+slide بيغينه الله بس ال slides هدول بدهم تعديل
+
+619
+00:49:26,670 --> 00:49:32,910
+ايوة
+
+620
+00:49:32,910 --> 00:49:37,370
+الان كويس عند أحمد فروخي بيسأل سؤال مهم جدا يا
+
+621
+00:49:37,370 --> 00:49:45,030
+شباب الان موضوع ال normalization اللي احنا أخدناه
+
+622
+00:49:45,030 --> 00:49:49,880
+في ال databaseفي database واحد ايش كان الهدف منه
+
+623
+00:49:49,880 --> 00:49:52,960
+انه
+
+624
+00:49:52,960 --> 00:49:55,980
+نقل شويه بس عشان اجيب لكياب تعريفي وطابق الكلام
+
+625
+00:49:55,980 --> 00:49:59,260
+اللي احنا بدنا يهان هو مش بعيد عنه هو عبارة عن كان
+
+626
+00:49:59,260 --> 00:50:05,080
+هدفه نقل ال data analysis تبعتي ال initial data
+
+627
+00:50:05,080 --> 00:50:12,840
+analysis الى other stage بتمنع التكرار، مصبوط؟بس
+
+628
+00:50:12,840 --> 00:50:16,020
+لاحظ في الأول كانت form كانت عبارة عن single
+
+629
+00:50:16,020 --> 00:50:19,760
+entity وفي ال form التاني في ال second normal form
+
+630
+00:50:19,760 --> 00:50:24,020
+اضطرت اعمل partitioning لأكتر من entity عشان اعمل
+
+631
+00:50:24,020 --> 00:50:28,540
+بينهماش أضمن عدم اتكرار ولا لأ مش هذا اللي صار ال
+
+632
+00:50:28,540 --> 00:50:33,200
+transformation اللي صار هذا هو نفسه او ال
+
+633
+00:50:33,200 --> 00:50:35,620
+normalization هو عبارة عن جزء من ال transformation
+
+634
+00:50:35,620 --> 00:50:39,160
+جزء من التحول هل التحول كله مش ضروري هالكلام اللي
+
+635
+00:50:39,160 --> 00:50:41,680
+احنا بيقوله فبالتالي مافيش تعرضات ما بين التانين
+
+636
+00:50:41,680 --> 00:50:46,170
+يا أحمدالأن في الـ Normalization اللي هتتكلم عليها
+
+637
+00:50:46,170 --> 00:50:50,690
+أو في الـ Scaling بالتحديد طبعا Normalization أو
+
+638
+00:50:50,690 --> 00:50:54,090
+Scaling نفس المصطلحات في علم البيانات أو في الـ
+
+639
+00:50:54,090 --> 00:50:59,610
+Data Mining بنتكلم إنه أنا بدي أروح أغير ال data
+
+640
+00:50:59,610 --> 00:51:07,630
+range تبعتي و عادة عادة بقى اتوجه إن أغير ال range
+
+641
+00:51:07,630 --> 00:51:12,730
+ل range أصغريعني بدل ما كانت الأرقام رواتب
+
+642
+00:51:12,730 --> 00:51:23,770
+الموظفين من 17 .. او من .. من 1770 مليون لـ 370
+
+643
+00:51:23,770 --> 00:51:28,430
+مليون اه
+
+644
+00:51:28,430 --> 00:51:33,690
+بالليرة .. هذا الكلام وارد جدا مصبوط؟
+
+645
+00:51:33,690 --> 00:51:37,470
+بدل ما هذا ال range بتروح اخليه يجع في range من
+
+646
+00:51:37,470 --> 00:51:46,730
+واحدلعشرة مثلا أو بدي أخلي من واحد وسبعة من عشرة
+
+647
+00:51:46,730 --> 00:51:55,810
+لتلاتة فاصلة سبعة الان في ال computation مين أسهل
+
+648
+00:51:55,810 --> 00:52:03,890
+الرقم هذا ولا الرقم هذا المفروض
+
+649
+00:52:03,890 --> 00:52:04,930
+الرقم الأصغر أسهل
+
+650
+00:52:08,520 --> 00:52:11,180
+كمان مرة مفهوم الـ Normalization ان انا بدي اعمل
+
+651
+00:52:11,180 --> 00:52:14,780
+scaling لل data او لل attributes اللي عندى هاي
+
+652
+00:52:14,780 --> 00:52:18,840
+بحيث ان احطها في different range و عادة .. عادة
+
+653
+00:52:18,840 --> 00:52:24,140
+اكثر من 95% او 99% من الشغل في ال hand انه انا بحط
+
+654
+00:52:24,140 --> 00:52:28,040
+ال range ل range اصغر لكن هذا لا يمنع .. لا يمنع
+
+655
+00:52:28,040 --> 00:52:32,980
+مطلقا انه افكر احطها في range اكبر منها و عادة يا
+
+656
+00:52:32,980 --> 00:52:37,840
+جماعة الخير تخيل انه انا في عندى two attributes
+
+657
+00:52:46,020 --> 00:52:51,060
+attribute one و attribute two ال values اللي عندي
+
+658
+00:52:51,060 --> 00:52:56,400
+هان بتتراوح
+
+659
+00:52:56,400 --> 00:53:02,320
+من الصفر للواحد و ال attribute التاني هذا من مية
+
+660
+00:53:02,320 --> 00:53:08,300
+إلى الف خليك معاه سيبر
+
+661
+00:53:11,420 --> 00:53:14,460
+عشان تفهم حاجتنا للـ Normalization أو للـ Scaling
+
+662
+00:53:14,460 --> 00:53:19,540
+تخيل إنه أنا في عندي data set فيها two attributes
+
+663
+00:53:19,540 --> 00:53:24,740
+الأول بتراوح القيم المتخلفة اللي في من صفر لواحد
+
+664
+00:53:24,740 --> 00:53:32,160
+والتاني من مية لألف و جيت أنا قلتلك بدي task بسيطة
+
+665
+00:53:32,160 --> 00:53:39,700
+جدا منك ترسمليهم على الـ 2D plane شو
+
+666
+00:53:39,700 --> 00:53:44,680
+رأيك؟كيف ال scale تبعك اللي هتستخدمه في الرسم؟
+
+667
+00:53:44,680 --> 00:53:48,700
+الان
+
+668
+00:53:48,700 --> 00:53:52,420
+كمان مرة شو رايك هاي ال .. هاي ال two attributes و
+
+669
+00:53:52,420 --> 00:53:57,020
+بدك ترسملياهم على two D plane مالهاش علاقة بال
+
+670
+00:53:57,020 --> 00:54:02,560
+mining الآن، تمام؟ شو ال scale اللي بدك تستخدمه؟
+
+671
+00:54:02,560 --> 00:54:07,180
+بدك تستخدم واحد، اتنين، تلاتة، اربعة، خمسة، ستة؟
+
+672
+00:54:07,180 --> 00:54:15,250
+ولا واحد من عشرة؟ولّا مية؟ ممتاز إذا أنت أخدت
+
+673
+00:54:15,250 --> 00:54:18,790
+المية إذا أخدت المية يعني الصحيحة التهان من صفر
+
+674
+00:54:18,790 --> 00:54:24,550
+لمية كل ال values تبعة ال attribute هذا هتيجيك في
+
+675
+00:54:24,550 --> 00:54:27,950
+النقطة هاي هتيجيك وكأنه معمود في النقطة هاي مش
+
+676
+00:54:27,950 --> 00:54:32,970
+هيبينه ليش؟ لأنه ال range تبعك اللي إنت اعتمدت لها
+
+677
+00:54:32,970 --> 00:54:38,250
+يا تناسب وإذا اعتمدت واحد من عشرة المية هتيجي هنا
+
+678
+00:54:40,520 --> 00:54:43,140
+مصبوط؟ وبالتالي مافيش مجال الرسم inconsistent
+
+679
+00:54:43,140 --> 00:54:49,400
+حيكون أو مش هتقدر ترسمهم من الآخر مافيش الحل ان
+
+680
+00:54:49,400 --> 00:54:54,020
+بدي أعمل معيار للرسم بين الاتنين إما بدي أنزل هذا
+
+681
+00:54:54,020 --> 00:54:57,920
+لنفس ال scale أو بدي أرفع هذا لنفس ال scale اللي
+
+682
+00:54:57,920 --> 00:55:05,780
+موجود وعلى الحالتين صح مين الأسهل؟ أنزل قول بدي
+
+683
+00:55:05,780 --> 00:55:12,420
+أجسمه علىعالمية بيصير هذا واحد و هذا عشرة لاحظ ال
+
+684
+00:55:12,420 --> 00:55:20,520
+range لأ بقى يختلف صفر ل واحد و واحدة عشرة نوعا ما
+
+685
+00:55:20,520 --> 00:55:23,840
+قريب لكن برضه ممكن انا ايش راح اساوي احط بنفس ال
+
+686
+00:55:23,840 --> 00:55:26,580
+range بديش اجسم على عالمية انا اجسم على الف
+
+687
+00:55:33,500 --> 00:55:37,500
+صار عند إيش؟ نفس ال scale exactly و أنا مافقدتش من
+
+688
+00:55:37,500 --> 00:55:42,320
+قيمة البيانات ولا حاجة هذا الكلام نفسه .. نفسه
+
+689
+00:55:42,320 --> 00:55:45,440
+بهمني لما يكون ال algorithm تبعي ال machine
+
+690
+00:55:45,440 --> 00:55:47,920
+learning algorithm اللي بيشتغل في ال mining task
+
+691
+00:55:47,920 --> 00:55:51,900
+تكون data set أو attribute ال values تبعته صغيرة
+
+692
+00:55:51,900 --> 00:55:56,480
+جدا و ال attribute التاني ال value تبعته كبيرة جدا
+
+693
+00:55:57,410 --> 00:56:00,830
+تبقى عندي mismatch في التعامل فأفضل حاجة ايش أسوي
+
+694
+00:56:00,830 --> 00:56:04,510
+ان احاول اعمل normalization لكل ال data تكون كلها
+
+695
+00:56:04,510 --> 00:56:10,090
+على range واحد فال scaling هذه او ال normalization
+
+696
+00:56:10,090 --> 00:56:14,810
+هذه مهمة جدا بالنسبالنا ال
+
+697
+00:56:14,810 --> 00:56:18,390
+z score او ال normalization او ال zero score
+
+698
+00:56:18,390 --> 00:56:22,510
+normalization او زي ما بتسميها ال python standard
+
+699
+00:56:22,510 --> 00:56:25,550
+scalar standard scalar
+
+700
+00:56:28,890 --> 00:56:32,550
+في عند الـ Min Max Normalization أو Min Max Scalar
+
+701
+00:56:32,550 --> 00:56:37,450
+وفي عند الـ Decimal Scalar أو Decimal Scaling أو
+
+702
+00:56:37,450 --> 00:56:43,030
+Decimal Normalization نبدأ مع الـ Zero Score أو مع
+
+703
+00:56:43,030 --> 00:56:47,070
+الـ Z Min أو الـ Z Score كلها نفس المصطلحات أو نفس
+
+704
+00:56:47,070 --> 00:56:51,590
+العنصر Standard Scalar بتكلم على الـ Zero Min
+
+705
+00:56:51,590 --> 00:56:57,270
+Normalization Zero Min Normalization مفهومها بكل
+
+706
+00:56:57,270 --> 00:57:03,450
+بساطة يا جماعة الخيرانه احنا فعليا بحاجة طبعا عشان
+
+707
+00:57:03,450 --> 00:57:05,650
+في مثال انا كتبته عند الطالبات المحاضرة الجابه
+
+708
+00:57:05,650 --> 00:57:08,470
+اللي بدي اياه نفسه مافيش داعي ان اختار مثال جديد
+
+709
+00:57:08,470 --> 00:57:15,470
+مفهومها انه بدي احول ال attribute هذا ل attribute
+
+710
+00:57:15,470 --> 00:57:19,110
+او ل value احور ال data اللي فيه ل value مختلفة
+
+711
+00:57:19,110 --> 00:57:24,590
+بحيث ان المتوسط الحسابي تبع ال new form يكون صفر
+
+712
+00:57:24,590 --> 00:57:30,160
+عشان هيك اسمه z من ال zeroأو Z-Mean، Zero-Mean،
+
+713
+00:57:30,160 --> 00:57:34,460
+Zero-Score أو Zero-Mean مفهومها إنه بعد ما أنا
+
+714
+00:57:34,460 --> 00:57:40,100
+أحور الـAttribute أحور الـAttribute، بده يكون
+
+715
+00:57:40,100 --> 00:57:44,460
+الـMean تبعه صفر ليش هذا الكلام مهم؟ لأنه كتير من
+
+716
+00:57:44,460 --> 00:57:47,420
+العمليات الحسابية المرتبطة بالـ Machine Learning
+
+717
+00:57:47,420 --> 00:57:50,700
+Algorithm لها علاقة بالـMean والـStandard
+
+718
+00:57:50,700 --> 00:57:56,610
+Deviation فإذا أنا قدرت أحول الـMean لـ0فبتصير
+
+719
+00:57:56,610 --> 00:58:03,110
+العمليات الحسابية تبعتي أسهل ما يمكن لو أنت بقيت
+
+720
+00:58:03,110 --> 00:58:06,810
+تضرب بصفر خلاص بس ال term اللي أنا جدت فيه term
+
+721
+00:58:06,810 --> 00:58:10,370
+صفر خلصنا لو بدي أجمع صفر مع أن مافيش عندي تغيير
+
+722
+00:58:10,370 --> 00:58:14,770
+وهذا هو الهدف الأساسي من ال normalization هنا إنه
+
+723
+00:58:14,770 --> 00:58:17,970
+أنا عامة في ال transformation عمالي بحاول أبدأ
+
+724
+00:58:17,970 --> 00:58:22,070
+أقلل من ال cost أو ال computational cost اللي ممكن
+
+725
+00:58:22,070 --> 00:58:27,930
+تصير عنديفالـ Zero mean أو الـ Z-score هدفها أنه
+
+726
+00:58:27,930 --> 00:58:31,890
+للـ feature هذا تكون قيمة الـ mean المتوسط الحسابي
+
+727
+00:58:31,890 --> 00:58:38,670
+صفر و ال variance أو الانحراف المعياري تبعته جداش
+
+728
+00:58:38,670 --> 00:58:46,410
+واحد عبر المعادلة اللي موجودة عندنا هنا طبعا ميزة
+
+729
+00:58:46,410 --> 00:58:50,370
+ال scaling هذا انه مافيش minimum و مافيش maximum
+
+730
+00:58:50,370 --> 00:58:54,480
+لكن بتروح تتطبق حسب القانونالقيمة الجديدة اللي هي
+
+731
+00:58:54,480 --> 00:59:00,840
+الـ Z تساوي القيمة السابقة X ناقص المتوسط الحسابي
+
+732
+00:59:00,840 --> 00:59:06,660
+على الانحراف المعياري تبعت ال value اللي موجودة
+
+733
+00:59:06,660 --> 00:59:12,240
+عندها عشان تظهر الصورة الأرقام اللي عندي أنا عشرة
+
+734
+00:59:12,240 --> 00:59:18,000
+خمس طعش عشرة خمس طعش عشرين
+
+735
+00:59:24,250 --> 00:59:27,910
+هذه الـ A original الـ attribute O الـ attribute
+
+736
+00:59:27,910 --> 00:59:33,030
+الأصلي ال values اللي فيه ال values اللي فيه تمام
+
+737
+00:59:33,030 --> 00:59:38,590
+هايهم خمس قيم عشان أقدر أشتغل مع هذا أو أطبق عليه
+
+738
+00:59:38,590 --> 00:59:43,910
+ال Z score شو بدي أساوي؟ بدي أحسب المتوسط الحسابي
+
+739
+00:59:43,910 --> 00:59:50,250
+هاي المتوسط الحسابي يساوي المجموع على العدد عشرة
+
+740
+00:59:50,250 --> 00:59:57,500
+عشرين و بتهيألي فيه كمان واحدةهم خمس قيم خمس طعش
+
+741
+00:59:57,500 --> 01:00:04,980
+عشرين تمام سبعين على خمسة كدهش الشباب سبعين على
+
+742
+01:00:04,980 --> 01:00:12,020
+خمسة يا
+
+743
+01:00:12,020 --> 01:00:17,640
+عيني عليكم عشان هيك يا حبابنا تعمل حسابك تعمل
+
+744
+01:00:17,640 --> 01:00:21,700
+حسابك تجيب ال calculator تبعتك انا بالنسبة لي
+
+745
+01:00:25,870 --> 01:00:29,150
+هيها اه مش هسمحلك تستخدم الجوال ولا في الامتحان
+
+746
+01:00:29,150 --> 01:00:32,830
+هسمحلك تستخدم الجوال فانت ما شاء الله يعني لسه عن
+
+747
+01:00:32,830 --> 01:00:35,470
+بارح طالع من الثانوية العامة او إذا في عندك حدا
+
+748
+01:00:35,470 --> 01:00:41,010
+فهي .. هي فهي إلك إذا في حد أخدها من وراك تلفها
+
+749
+01:00:41,010 --> 01:00:47,710
+منه ضروري من اليوم و طالع في عندنا حساب لأ حساب
+
+750
+01:00:47,710 --> 01:00:51,230
+عشان ما أخوف cashلأن هاي و ما شاء الله عليك انت في
+
+751
+01:00:51,230 --> 01:00:56,110
+القسمة الـ 70 على 5 أثبتتي اللي بالدليل قاطع إنك
+
+752
+01:00:56,110 --> 01:01:05,030
+ناجح ان شاء الله طيب، الآن خلاص حسبت ال main الآن
+
+753
+01:01:05,030 --> 01:01:08,710
+إيش بقول ليه؟ الانحراف المعياري أو ال sigma تساوي
+
+754
+01:01:08,710 --> 01:01:14,110
+الجذر التربيعي للفروقات ما بين ال main على العدد
+
+755
+01:01:26,700 --> 01:01:32,460
+عشرة أربعة عشر ناقص عشرة تربيع أربعة عشر ناقص عشرة
+
+756
+01:01:32,460 --> 01:01:36,680
+عشرة تربيع أربعة عشر ناقص عشرين تربيع أربعة عشر
+
+757
+01:01:36,680 --> 01:01:42,880
+ناقص عشرين تربيع أربعة عشر ناقص عشرين تربيع أربعة
+
+758
+01:01:42,880 --> 01:01:43,720
+عشر ناقص عشرين تربيع أربعة عشر ناقص عشرين تربيع
+
+759
+01:01:43,720 --> 01:01:44,240
+أربعة عشر ناقص عشرين تربيع أربعة عشر ناقص عشرين
+
+760
+01:01:44,240 --> 01:01:49,650
+تربيع أربعة عشر ناقص عشرين تربيع أربعة عشر ناق16 1
+
+761
+01:01:49,650 --> 01:02:04,310
+16 1 36 مصبوط انا حسبت المربعات الان 16 و 16 32 و
+
+762
+01:02:04,310 --> 01:02:16,360
+32 و 2 34 و 36 70 الان ال sigmaتساوي الجذر
+
+763
+01:02:16,360 --> 01:02:22,900
+التربيعي لـ 70 على 5 اللي هي جذر الـ 14 اللي هي
+
+764
+01:02:22,900 --> 01:02:29,840
+تقريبا قداش تلات
+
+765
+01:02:29,840 --> 01:02:34,060
+أو كسر، صح؟
+
+766
+01:02:34,060 --> 01:02:37,400
+ما هو لما أنت تكتب لتنين جذر مش عارف قداش مش هتحصل
+
+767
+01:02:37,400 --> 01:02:43,020
+لنتيجة تلاتة
+
+768
+01:02:43,020 --> 01:02:50,630
+pointأربعة و سبعين جذر
+
+769
+01:02:50,630 --> 01:02:57,510
+الاربعتاش هذا بنسميه الانحراف المعياري لل data set
+
+770
+01:02:57,510 --> 01:03:03,290
+او لل attribute اللي عندى sigma لسه احنا مخلصناش
+
+771
+01:03:03,290 --> 01:03:08,370
+انا كل اللي بسوته جبت المعاملات بتاعة المعادلة هاي
+
+772
+01:03:08,370 --> 01:03:13,740
+جبت ال mu جبت ال sigmaهلجت بدي أجيب Z زد لمين يا
+
+773
+01:03:13,740 --> 01:03:18,260
+جماعة الخير لكل قيمة من هدول لكل قيمة من هدول احنا
+
+774
+01:03:18,260 --> 01:03:27,880
+خلصنا هذا الان بقدر أمسحه ال
+
+775
+01:03:27,880 --> 01:03:32,420
+attribute new قيمة
+
+776
+01:03:32,420 --> 01:03:40,550
+القيمة الجديدة تساوي X ناقص ميو علىتلاتة يعني بين
+
+777
+01:03:40,550 --> 01:03:45,910
+جثين هتكون عشرة ناقص أربعة تعش على تلاتة فاصلة
+
+778
+01:03:45,910 --> 01:03:52,530
+أربعة وسبعين ولا كيف بده يكون في الآخر المتوسط
+
+779
+01:03:52,530 --> 01:03:57,970
+الحسابي صفر لازم تكون قيم موجبة وقيم سالبة لأنه في
+
+780
+01:03:57,970 --> 01:04:02,390
+الآخر صفر على أي شيء العدد مستحيل يكون صفر فلازم
+
+781
+01:04:02,390 --> 01:04:06,530
+البسطي يطلع معاك صفر مجموع القيم فبتطلع هذه سالب
+
+782
+01:04:06,530 --> 01:04:14,240
+بالنسبة للأولىأربعة تقسيم تلاتة فاصلة أربعة وسبعين
+
+783
+01:04:14,240 --> 01:04:17,340
+سالب
+
+784
+01:04:17,340 --> 01:04:22,440
+واحد point zero سبعة هم ال roundation للرقمين
+
+785
+01:04:22,440 --> 01:04:25,700
+هتكون
+
+786
+01:04:25,700 --> 01:04:31,300
+عندي عشرة ناقص او عفوا خمس طعش ناقص اربعة طعش على
+
+787
+01:04:31,300 --> 01:04:37,040
+تلاتة اربعة وسبعين اعتمد
+
+788
+01:04:37,040 --> 01:04:38,900
+يا أبو حاسم ولا في شك في الكلام
+
+789
+01:04:43,490 --> 01:04:49,430
+26% غلط لأنه بدنا نعمل roundation عندك 6 أو 7 يا
+
+790
+01:04:49,430 --> 01:04:56,250
+باشا عشان أضمن تصفر معايا المسألة الآن عشرة نفس
+
+791
+01:04:56,250 --> 01:05:00,890
+القيمة اللي فوق 1
+
+792
+01:05:00,890 --> 01:05:07,610
+.0715
+
+793
+01:05:07,610 --> 01:05:11,990
+.27 الآن
+
+794
+01:05:14,240 --> 01:05:25,220
+1.6 انا بتذكرها هي صحيحة 1.6 تمام؟ الان متوسط
+
+795
+01:05:25,220 --> 01:05:32,460
+الحساب الجديد يساوي اجمع
+
+796
+01:05:32,460 --> 01:05:40,840
+العناصر هدول على عددهم عددهم خمسة سالب
+
+797
+01:05:40,840 --> 01:05:41,240
+واحد
+
+798
+01:05:44,090 --> 01:05:52,350
+لان انت متراهلش انت بتجمع القمتين هدول وبالتالي
+
+799
+01:05:52,350 --> 01:05:59,410
+ال mean تبعتي قداش صارت صفر لازم يطلع صفر اللي مش
+
+800
+01:05:59,410 --> 01:06:04,250
+مصدق يجمعهم يا شباب مش مشكلة عندي تمام فال mean
+
+801
+01:06:04,250 --> 01:06:10,950
+صفر الانحراف المعياري الجديد يساوي الجذر التربيعي
+
+802
+01:06:10,950 --> 01:06:18,430
+لأالفروقات هدول او القيام هدول تربيع الفروق مع ال
+
+803
+01:06:18,430 --> 01:06:27,890
+mean ال mean صفر فتربيع القيام هذه 1.07 زائد 0.27
+
+804
+01:06:27,890 --> 01:06:40,490
+زائد 1.7 تربيع زائد 0.27 تربيع زائد 1.6 تربيع هدول
+
+805
+01:06:40,490 --> 01:06:43,330
+مجموحهم خمسة على خمسة
+
+806
+01:06:48,310 --> 01:06:51,770
+واحد اه لازم يطلع واحد لو ما طلعش واحد مانتوا في
+
+807
+01:06:51,770 --> 01:06:57,470
+عندك مشكلة لو ما طلعش واحد في عندك مشكلة في الحساب
+
+808
+01:06:57,470 --> 01:07:02,890
+ممكن الأرقام مشكلة لا يا باشا الأرقام إيش ما كانت
+
+809
+01:07:02,890 --> 01:07:07,950
+إذا تطبق عليها ال Z score لازم إنها تجي يطلع ال
+
+810
+01:07:07,950 --> 01:07:11,030
+main صفر و ال standard deviation واحد
+
+811
+01:07:13,890 --> 01:07:18,810
+تمام؟ تمام إيش
+
+812
+01:07:18,810 --> 01:07:27,210
+استفدت؟ الآن أنا عملت scaling .. scaling لمين؟ لل
+
+813
+01:07:27,210 --> 01:07:32,090
+A الأصلية اللي موجودة عندي بقيم جديدة عملت
+
+814
+01:07:32,090 --> 01:07:36,970
+transformation مظبوط؟ القيمة هذه تمثل العشرة وال
+
+815
+01:07:36,970 --> 01:07:41,630
+27 تمثل .. ال 27 من 100 تمثل 15يعني حطيتها في
+
+816
+01:07:41,630 --> 01:07:45,130
+Range جديد الـ Range الجديد هذا ما فقدش قيمته
+
+817
+01:07:45,130 --> 01:07:52,390
+مطلقا لكن كان فيه لميزة قال لي إن المتوسط الحسابي
+
+818
+01:07:52,390 --> 01:07:57,610
+تبع القيم هدول صفر والانحراف المياري واحد كتير من
+
+819
+01:07:57,610 --> 01:08:00,370
+ال machine learning algorithm جامعة الخير بتنبني
+
+820
+01:08:00,370 --> 01:08:05,390
+على حسبة ال main والانحراف المياري فلما أنا بأضمن
+
+821
+01:08:05,390 --> 01:08:09,320
+ال main صفرمعناته كتير من العمليات او من ال terms
+
+822
+01:08:09,320 --> 01:08:12,800
+هعملها neglect هاختصرها في ال computation ولا لأ
+
+823
+01:08:12,800 --> 01:08:16,400
+لما بتكون العمليات ضرب و بحصل على واحد في ال
+
+824
+01:08:16,400 --> 01:08:21,140
+standard deviation هذا الكلام كله بيخدمني في تسريع
+
+825
+01:08:21,140 --> 01:08:23,980
+عملية ال learning اللي هتصير عند ال data mining او
+
+826
+01:08:23,980 --> 01:08:27,940
+في مرحلة ال mining او ال data mining tasks هالكلام
+
+827
+01:08:27,940 --> 01:08:32,920
+هذا مطلوب من ناحية عملي من ناحية عملي ال standard
+
+828
+01:08:32,920 --> 01:08:37,340
+scalar موجودة في ال python as a functionتستدعيها و
+
+829
+01:08:37,340 --> 01:08:39,800
+بتقوله تديها اسم ال attribute و بتعمل generate ل
+
+830
+01:08:39,800 --> 01:08:48,540
+attribute بمباشرة بس لازم تحفظ و تفهم اش اللي بصير
+
+831
+01:08:48,540 --> 01:08:52,240
+لأنه بكل بساطة لاحقا ممكن اديك sequence من خمس
+
+832
+01:08:52,240 --> 01:08:55,960
+عناصر زي هيك و اقولك روح انا بدي نعمل
+
+833
+01:08:55,960 --> 01:08:58,900
+transformation لل data set هذه بحيث انك تتناسب مع
+
+834
+01:08:58,900 --> 01:09:02,500
+ال task الفلانية بتطبيق ال algorithm الفلاني
+
+835
+01:09:06,680 --> 01:09:11,320
+أيوة سؤال مهم أحمد فاروخ بيقول جديش ال scale مافيش
+
+836
+01:09:11,320 --> 01:09:15,160
+scale مافيش range و هذا الكلام قلناه ثابت مافيش
+
+837
+01:09:15,160 --> 01:09:20,740
+عندي minimum و maximum values ما بعرفهمش لكن بما
+
+838
+01:09:20,740 --> 01:09:24,540
+أنه العشرة هي أصغر قيمة عندي و ال data 6 أنا قادر
+
+839
+01:09:24,540 --> 01:09:31,220
+أمسكها أصغر قيمة فهذه كانت ال minimum و ال maximum
+
+840
+01:09:31,220 --> 01:09:40,300
+20 فهذه 61.6%هي ال maximum بس هي ال range تبعتي هي
+
+841
+01:09:40,300 --> 01:09:44,900
+ال range اللي موجودة عندي الآن على غرار الكلام هذا
+
+842
+01:09:44,900 --> 01:09:53,900
+في عند ال min max طبعا ال robust عشان نخلص منها ال
+
+843
+01:09:53,900 --> 01:09:58,440
+robust scalar فكرته بكل بساطة انه بيقولك يا عم إذا
+
+844
+01:09:58,440 --> 01:10:01,580
+أنا كان في عندي outlier point او في عندي noisy
+
+845
+01:10:01,580 --> 01:10:06,000
+pointفضمن ال range هذا و انا اعتمدت على ال mean
+
+846
+01:10:06,000 --> 01:10:11,720
+فهتشد ال mean باتجاه بعيد بمعنى اخر لو كانت
+
+847
+01:10:11,720 --> 01:10:18,740
+العشرين هذه 200 او ناقص 20 شو بيصير في ال mean
+
+848
+01:10:18,740 --> 01:10:24,150
+اللي عندى؟هيتغير وبالتالي صار فيه bias باتجاه الـ
+
+849
+01:10:24,150 --> 01:10:28,330
+outlier باتجاه ال noise data عشان يتجنب ال noise
+
+850
+01:10:28,330 --> 01:10:32,370
+data ال robust scalar هذا بيروح بيعتمد على ال
+
+851
+01:10:32,370 --> 01:10:39,230
+median و ال quartiles ايش ال median؟ ايش ال
+
+852
+01:10:39,230 --> 01:10:44,370
+median؟ الوسيط ال quartiles القيم تبعت الأرباع
+
+853
+01:10:44,370 --> 01:10:48,400
+تبعت العناصر اللي موجودة عندىوبهيك هو بتجنب تأثير
+
+854
+01:10:48,400 --> 01:10:53,580
+ال noise attributes لتظهر أو ال noise value لتظهر
+
+855
+01:10:53,580 --> 01:10:53,860
+عنده
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..025b7fd86febb846e37cfe51a4a8ee87e57cdc0c
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/CMRo1Sw-HX4_raw.json
@@ -0,0 +1 @@
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زائد اربعة .. اربعة زائد تمانية زائد تسعة زائد خمستاشع على اربعة واروح استبدلهم قلعت تسعة بتالي المجموعة الاولى كل element فيها بده يصير تسعة كل element فيها بده يصير تسعة المجموعة التانية المتوسطة الحسابة تبعها كانت تلاتة وعشرين ومن ثم ال ..", "tokens": [10721, 2407, 2423, 39184, 3982, 952, 34051, 2423, 39184, 39352, 4386, 2423, 4386, 6225, 5172, 14407, 25062, 32640, 2423, 13180, 45164, 41850, 47525, 10721, 1975, 34268, 2304, 3215, 15844, 2423, 21701, 8032, 11242, 9566, 2288, 1975, 7435, 2304, 3615, 46811, 7649, 10632, 30767, 16373, 3215, 1975, 25513, 27884, 4386, 1975, 25513, 27884, 30767, 16373, 3215, 46811, 7649, 10632, 30767, 16373, 3215, 6055, 3794, 27884, 30767, 16373, 3215, 16490, 2304, 14851, 33599, 3615, 15844, 1975, 25513, 27884, 4032, 9640, 2407, 5016, 44713, 44510, 1211, 16095, 12174, 1211, 34268, 6055, 3794, 27884, 39894, 6027, 1829, 9673, 7435, 2304, 2407, 27884, 42963, 12610, 7578, 28242, 4478, 8978, 11296, 47525, 3224, 7251, 9381, 13546, 6055, 3794, 27884, 28242, 4478, 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signature تبعتها مختلفة شو يعني ال signature؟ اما ال return value او ال parameter متفقين طيب يعني شو يعني overloading attribute؟ انه ال attribute هذا ظهر بشكل مختلف مع انه ال values تبعت ايش؟", "tokens": [3555, 6027, 39184, 2657, 21841, 13412, 2407, 37495, 22653, 28777, 278, 22807, 28777, 278, 3170, 16472, 3224, 8978, 43242, 7578, 3170, 39894, 35571, 1211, 8717, 36178, 2423, 32277, 2304, 44381, 2423, 13397, 6055, 3555, 34268, 11296, 3714, 46456, 46538, 3660, 13412, 2407, 37495, 22653, 2423, 13397, 22807, 1975, 15042, 2423, 2736, 2158, 1975, 2407, 2423, 13075, 44650, 5172, 4587, 9957, 23032, 1829, 3555, 37495, 22653, 13412, 2407, 37495, 22653, 28777, 278, 19667, 22807, 16472, 3224, 2423, 19667, 23758, 1357, 116, 3224, 2288, 4724, 8592, 28820, 3714, 46456, 46538, 20449, 16472, 3224, 2423, 4190, 6055, 3555, 34268, 1975, 1829, 8592, 22807], "avg_logprob": -0.18007426273704755, "compression_ratio": 1.774468085106383, "no_speech_prob": 4.76837158203125e-07, "words": [{"start": 1416.06, 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ال redundant features أو في تكرار ال attributes اللي موجودة عندي وبرضه الشغل هيكون manual ممكن اكتب code عشان يعمل integration لو انت طبقت عملت ال inner join بين ال two tables هدول ايش اللي بصير؟", "tokens": [6027, 39184, 2158, 6596, 34051, 2423, 39184, 36891, 13672, 1829, 3714, 43020, 6055, 9381, 13546, 18871, 16254, 30767, 1829, 19446, 20328, 9640, 20449, 995, 25528, 8978, 2423, 32277, 2304, 34051, 20328, 9640, 20449, 995, 25528, 8978, 2423, 3205, 4032, 41185, 6024, 95, 34740, 8978, 2423, 40997, 4122, 34051, 8978, 6055, 37983, 9640, 2423, 17212, 13672, 1829, 3714, 29245, 23328, 3660, 18871, 16254, 4032, 26890, 11242, 3224, 25124, 17082, 1211, 39896, 30544, 9688, 3714, 43020, 1975, 4117, 2655, 3555, 3089, 6225, 8592, 7649, 7251, 25957, 1211, 10980, 45164, 16472, 2655, 23032, 3555, 38149, 6225, 42213, 2655, 2423, 7284, 3917, 49374, 2423, 732, 8020, 8032, 3215, 12610, 1975, 1829, 8592, 13672, 1829, 4724, 9381, 13546, 22807], "avg_logprob": -0.16630434860353885, "compression_ratio": 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التفاصيل هذه بهمني أنا؟ طب ما هي ال redundant value أو عفوا القيم الكتيرة المختلفة هذه؟", "tokens": [10721, 8315, 6024, 48506, 18863, 1863, 2407, 7649, 13672, 1829, 3714, 29245, 23328, 18871, 16254, 3714, 4117, 2655, 37746, 5296, 5016, 6027, 3660, 3714, 14851, 2407, 7578, 25124, 9640, 3615, 32771, 11622, 3660, 34892, 2304, 6027, 13412, 9640, 3615, 6225, 29973, 2407, 44945, 6225, 44510, 6027, 3615, 11622, 1829, 11622, 23758, 4724, 3794, 6225, 8592, 7649, 7251, 10859, 1863, 8848, 6808, 37983, 16490, 1211, 6027, 45595, 20498, 9957, 9673, 46958, 1829, 9307, 8978, 33962, 3555, 9640, 23032, 3555, 3615, 995, 22807, 6024, 48506, 23032, 3555, 8032, 1211, 16712, 5172, 33546, 26895, 29538, 4724, 16095, 22653, 41850, 22807, 23032, 3555, 19446, 39896, 2423, 40997, 2158, 34051, 6225, 5172, 14407, 25062, 32640, 33251, 2655, 48923, 9673, 46456, 46538, 3660, 29538, 22807], "avg_logprob": -0.17408854514360428, "compression_ratio": 1.7312252964426877, "no_speech_prob": 5.960464477539063e-08, "words": 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"word": " في", "probability": 0.94775390625}, {"start": 2806.15, "end": 2806.65, "word": " الخبار", "probability": 0.6507975260416666}, {"start": 2806.65, "end": 2808.53, "word": " طبعا؟", "probability": 0.7947265625}, {"start": 2808.53, "end": 2810.61, "word": " الآن", "probability": 0.710693359375}, {"start": 2810.61, "end": 2811.87, "word": " طب", "probability": 0.733642578125}, {"start": 2811.87, "end": 2812.07, "word": " هل", "probability": 0.9423828125}, {"start": 2812.07, "end": 2812.61, "word": " التفاصيل", "probability": 0.9815673828125}, {"start": 2812.61, "end": 2812.83, "word": " هذه", "probability": 0.47265625}, {"start": 2812.83, "end": 2813.27, "word": " بهمني", "probability": 0.873046875}, {"start": 2813.27, "end": 2814.17, "word": " أنا؟", "probability": 0.83935546875}, {"start": 2814.17, "end": 2814.35, "word": " طب", "probability": 0.91796875}, {"start": 2814.35, "end": 2814.43, "word": " ما", "probability": 0.9521484375}, {"start": 2814.43, "end": 2814.63, "word": " هي", "probability": 0.69384765625}, {"start": 2814.63, "end": 2814.77, "word": " ال", "probability": 0.74462890625}, {"start": 2814.77, "end": 2815.15, "word": " redundant", "probability": 0.6064453125}, {"start": 2815.15, "end": 2815.79, "word": " value", "probability": 0.97705078125}, {"start": 2815.79, "end": 2816.03, "word": " أو", "probability": 0.740234375}, {"start": 2816.03, "end": 2816.31, "word": " عفوا", "probability": 0.9275716145833334}, {"start": 2816.31, "end": 2816.95, "word": " القيم", "probability": 0.913330078125}, {"start": 2816.95, "end": 2817.43, "word": " الكتيرة", "probability": 0.7369791666666666}, {"start": 2817.43, "end": 2818.03, "word": " المختلفة", "probability": 0.99267578125}, {"start": 2818.03, "end": 2818.55, "word": " هذه؟", "probability": 0.943115234375}], "temperature": 1.0}, {"id": 105, "seek": 283966, "start": 2819.76, "end": 2839.66, "text": "برضه بتصعب موضوع ال decision تبعتي طبما هي الرمال كلها منطقة واحدة فانا بدي استغني عن ال street واصير اتكلم على ال neighborhood وحتى ال neighborhood مش فارج كبير رمال وشجعية مش فارج كتير تمام فانا هضطر", "tokens": [3555, 43042, 3224, 39894, 9381, 3615, 3555, 3714, 2407, 11242, 45367, 2423, 3537, 6055, 3555, 3615, 31371, 23032, 3555, 15042, 39896, 34892, 2304, 6027, 28242, 11296, 9154, 9566, 28671, 36764, 24401, 3660, 6156, 7649, 995, 4724, 16254, 44713, 17082, 22653, 18871, 2423, 4838, 4032, 33546, 13546, 1975, 2655, 4117, 19528, 15844, 2423, 7630, 4032, 33753, 7578, 2423, 7630, 37893, 6156, 9640, 7435, 9122, 3555, 13546, 12602, 2304, 6027, 4032, 8592, 7435, 3615, 10632, 37893, 6156, 9640, 7435, 9122, 2655, 13546, 46811, 10943, 6156, 7649, 995, 8032, 11242, 9566, 2288], "avg_logprob": -0.1728298622700903, "compression_ratio": 1.6734693877551021, "no_speech_prob": 4.410743713378906e-06, "words": [{"start": 2819.76, "end": 2820.18, "word": "برضه", "probability": 0.7249348958333334}, {"start": 2820.18, "end": 2820.7, "word": " بتصعب", "probability": 0.90234375}, {"start": 2820.7, "end": 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2864.64, "text": "لاحظ انه لما انا بتكلم على transformation يا جماعة الخير لاحظوا يا جماعة الخير انه لما انا بأعمل transformation بحول ال value من street ل neighborhood او ل city فقدت معلوماتش ايه؟ لأ هي نفس المعلومات نفس ال representation بس انا مش بحاجة ل two details هاي هذا برضه بنسميه transformation", "tokens": [15040, 5016, 19913, 16472, 3224, 5296, 15042, 1975, 8315, 39894, 4117, 19528, 15844, 9887, 35186, 10874, 15042, 27884, 33962, 13546, 5296, 39319, 19913, 14407, 35186, 10874, 15042, 27884, 33962, 13546, 16472, 3224, 5296, 15042, 1975, 8315, 4724, 10721, 25957, 1211, 9887, 4724, 5016, 12610, 2423, 2158, 9154, 4838, 5296, 7630, 1975, 2407, 5296, 2307, 6156, 28543, 2655, 20449, 1211, 20498, 9307, 8592, 1975, 1829, 3224, 22807, 5296, 10721, 39896, 8717, 36178, 9673, 30241, 20498, 9307, 8717, 36178, 2423, 10290, 4724, 3794, 1975, 8315, 37893, 4724, 5016, 26108, 3660, 5296, 732, 4365, 8032, 47302, 23758, 4724, 43042, 3224, 44945, 38251, 1829, 3224, 9887], "avg_logprob": 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احنا بدنا يهان هو مش بعيد عنه هو عبارة عن كان هدفه نقل ال data analysis تبعتي ال initial data analysis الى other stage بتمنع التكرار، مصبوط؟", "tokens": [41185, 8149, 36764, 24401, 1975, 1829, 8592, 25961, 2423, 3224, 3215, 5172, 9154, 3224, 16472, 3224, 8717, 4587, 1211, 13412, 45865, 3224, 4724, 3794, 6225, 8592, 7649, 1975, 7435, 1829, 3555, 5296, 4117, 1829, 16758, 37279, 16572, 41185, 4032, 9566, 16758, 4587, 2423, 28820, 10943, 13672, 1829, 1975, 5016, 8315, 47525, 8315, 7251, 3224, 7649, 31439, 37893, 45030, 25708, 18871, 3224, 31439, 6225, 3555, 9640, 3660, 18871, 25961, 8032, 3215, 5172, 3224, 8717, 4587, 1211, 2423, 1412, 5215, 6055, 3555, 3615, 31371, 2423, 5883, 1412, 5215, 2423, 7578, 661, 3233, 39894, 27842, 3615, 16712, 37983, 9640, 12399, 3714, 9381, 3555, 2407, 9566, 22807], "avg_logprob": -0.15534855181781146, "compression_ratio": 1.65625, "no_speech_prob": 2.1457672119140625e-06, "words": [{"start": 2986.6, "end": 2986.76, "word": "في", "probability": 0.48486328125}, 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transformation اللي صار هذا هو نفسه او ال normalization هو عبارة عن جزء من ال transformation جزء من التحول هل التحول كله مش ضروري هالكلام اللي احنا بيقوله فبالتالي مافيش تعرضات ما بين التانين يا أحمد", "tokens": [3555, 3794, 20193, 5016, 19913, 8978, 16247, 12610, 25961, 2655, 1254, 25961, 2655, 6225, 3555, 9640, 3660, 18871, 2167, 13977, 4032, 41185, 2423, 1254, 16712, 7649, 1829, 8978, 2423, 1150, 2710, 1254, 1975, 11242, 9566, 43500, 1975, 25957, 1211, 24808, 278, 5296, 10721, 4117, 2655, 2288, 9154, 13977, 6225, 8592, 7649, 1975, 25957, 1211, 49374, 16095, 33599, 5551, 11242, 27842, 6225, 40448, 1975, 2655, 37983, 9640, 49429, 5296, 10721, 37893, 23758, 13672, 1829, 20328, 9640, 2423, 9887, 13672, 1829, 20328, 9640, 23758, 31439, 8717, 36178, 3224, 1975, 2407, 2423, 2710, 2144, 31439, 6225, 3555, 9640, 3660, 18871, 10874, 11622, 38207, 9154, 2423, 9887, 10874, 11622, 38207, 9154, 16712, 5016, 12610, 8032, 1211, 16712, 5016, 12610, 28242, 3224, 37893, 48812, 2288, 13063, 1829, 8032, 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4185.82, "word": " في", "probability": 0.90576171875}, {"start": 4185.82, "end": 4186.04, "word": " عند", "probability": 0.982421875}, {"start": 4186.04, "end": 4186.2, "word": " ال", "probability": 0.95751953125}, {"start": 4186.2, "end": 4186.38, "word": " min", "probability": 0.64794921875}, {"start": 4186.38, "end": 4186.86, "word": " max", "probability": 0.3505859375}, {"start": 4186.86, "end": 4187.56, "word": " طبعا", "probability": 0.96044921875}, {"start": 4187.56, "end": 4187.68, "word": " ال", "probability": 0.9521484375}, {"start": 4187.68, "end": 4187.94, "word": " robust", "probability": 0.953125}, {"start": 4187.94, "end": 4188.58, "word": " عشان", "probability": 0.9842122395833334}, {"start": 4188.58, "end": 4188.9, "word": " نخلص", "probability": 0.996826171875}, {"start": 4188.9, "end": 4189.5, "word": " منها", "probability": 0.990966796875}, {"start": 4189.5, "end": 4193.9, "word": " ال", "probability": 0.91650390625}, {"start": 4193.9, "end": 4194.18, "word": " 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"probability": 0.9658203125}, {"start": 4199.0, "end": 4199.32, "word": " عندي", "probability": 0.749267578125}, {"start": 4199.32, "end": 4200.0, "word": " outlier", "probability": 0.927978515625}, {"start": 4200.0, "end": 4200.5, "word": " point", "probability": 0.98828125}, {"start": 4200.5, "end": 4200.68, "word": " او", "probability": 0.73291015625}, {"start": 4200.68, "end": 4200.84, "word": " في", "probability": 0.98046875}, {"start": 4200.84, "end": 4201.08, "word": " عندي", "probability": 0.912353515625}, {"start": 4201.08, "end": 4201.58, "word": " noisy", "probability": 0.97705078125}, {"start": 4201.58, "end": 4202.12, "word": " point", "probability": 0.98779296875}], "temperature": 1.0}, {"id": 154, "seek": 421926, "start": 4202.78, "end": 4219.26, "text": "فضمن ال range هذا و انا اعتمدت على ال mean فهتشد ال mean باتجاه بعيد بمعنى اخر لو كانت العشرين هذه 200 او ناقص 20 شو بيصير في ال mean اللي عندى؟", "tokens": [5172, 11242, 27842, 2423, 3613, 23758, 4032, 1975, 8315, 1975, 34268, 2304, 3215, 2655, 15844, 2423, 914, 6156, 3224, 2655, 8592, 3215, 2423, 914, 4724, 9307, 7435, 40294, 45030, 25708, 4724, 2304, 3615, 1863, 7578, 1975, 34740, 45164, 25961, 2655, 18863, 46309, 9957, 29538, 2331, 1975, 2407, 8717, 995, 4587, 9381, 945, 13412, 2407, 4724, 1829, 9381, 13546, 8978, 2423, 914, 13672, 1829, 43242, 7578, 22807], "avg_logprob": -0.18038712731048243, "compression_ratio": 1.46875, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 4202.78, "end": 4203.22, "word": "فضمن", "probability": 0.7740885416666666}, {"start": 4203.22, "end": 4203.38, "word": " ال", "probability": 0.93359375}, {"start": 4203.38, "end": 4203.7, "word": " range", "probability": 0.438232421875}, {"start": 4203.7, "end": 4204.08, "word": " هذا", "probability": 0.88671875}, {"start": 4204.08, "end": 4204.58, "word": " و", "probability": 0.81982421875}, {"start": 4204.58, "end": 4204.84, "word": " انا", "probability": 0.64794921875}, {"start": 4204.84, "end": 4205.44, "word": " اعتمدت", "probability": 0.96044921875}, {"start": 4205.44, "end": 4205.6, "word": " على", "probability": 0.84033203125}, {"start": 4205.6, "end": 4205.76, "word": " ال", "probability": 0.96826171875}, {"start": 4205.76, "end": 4206.0, "word": " mean", "probability": 0.61083984375}, {"start": 4206.0, "end": 4208.48, "word": " فهتشد", "probability": 0.84833984375}, {"start": 4208.48, "end": 4208.64, "word": " ال", "probability": 0.94873046875}, {"start": 4208.64, "end": 4208.84, "word": " mean", "probability": 0.955078125}, {"start": 4208.84, "end": 4209.28, "word": " باتجاه", "probability": 0.9520263671875}, {"start": 4209.28, "end": 4209.72, "word": " بعيد", "probability": 0.995849609375}, {"start": 4209.72, "end": 4210.42, "word": " بمعنى", "probability": 0.953125}, {"start": 4210.42, "end": 4210.82, "word": " اخر", "probability": 0.86669921875}, {"start": 4210.82, "end": 4211.32, "word": " لو", "probability": 0.91943359375}, {"start": 4211.32, "end": 4211.72, "word": " كانت", "probability": 0.94482421875}, {"start": 4211.72, "end": 4212.26, "word": " العشرين", "probability": 0.86083984375}, {"start": 4212.26, "end": 4212.7, "word": " هذه", "probability": 0.44287109375}, {"start": 4212.7, "end": 4214.92, "word": " 200", "probability": 0.7177734375}, {"start": 4214.92, "end": 4215.86, "word": " او", "probability": 0.933349609375}, {"start": 4215.86, "end": 4216.36, "word": " ناقص", "probability": 0.921630859375}, {"start": 4216.36, "end": 4216.84, "word": " 20", "probability": 0.60107421875}, {"start": 4216.84, "end": 4218.04, "word": " شو", "probability": 0.74853515625}, {"start": 4218.04, "end": 4218.38, "word": " بيصير", "probability": 0.720458984375}, {"start": 4218.38, "end": 4218.5, "word": " في", "probability": 0.8994140625}, {"start": 4218.5, "end": 4218.56, "word": " ال", "probability": 0.95849609375}, {"start": 4218.56, "end": 4218.74, "word": " mean", "probability": 0.9521484375}, {"start": 4218.74, "end": 4218.86, "word": " اللي", "probability": 0.967041015625}, {"start": 4218.86, "end": 4219.26, "word": " عندى؟", "probability": 0.7560221354166666}], "temperature": 1.0}, {"id": 155, "seek": 424614, "start": 4220.37, "end": 4246.15, "text": "هيتغير وبالتالي صار فيه bias باتجاه الـ outlier باتجاه ال noise data عشان يتجنب ال noise data ال robust scalar هذا بيروح بيعتمد على ال median و ال quartiles ايش ال median؟ ايش ال median؟ الوسيط ال quartiles القيم تبعت الأرباع تبعت العناصر اللي موجودة عندى", "tokens": [3224, 36081, 17082, 13546, 46599, 6027, 2655, 6027, 1829, 20328, 9640, 8978, 3224, 12577, 4724, 9307, 7435, 40294, 2423, 39184, 484, 2753, 4724, 9307, 7435, 40294, 2423, 5658, 1412, 6225, 8592, 7649, 7251, 2655, 7435, 1863, 3555, 2423, 5658, 1412, 2423, 13956, 39684, 23758, 4724, 13546, 2407, 5016, 4724, 1829, 34268, 2304, 3215, 15844, 2423, 26779, 4032, 2423, 20837, 4680, 1975, 1829, 8592, 2423, 26779, 22807, 1975, 1829, 8592, 2423, 26779, 22807, 2423, 41779, 1829, 9566, 2423, 20837, 4680, 25062, 32640, 6055, 3555, 34268, 16247, 25513, 45761, 6055, 3555, 34268, 18863, 1863, 33546, 2288, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 7578], "avg_logprob": -0.1912924786215847, "compression_ratio": 1.7798165137614679, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 4220.37, "end": 4221.07, "word": "هيتغير", "probability": 0.9395751953125}, {"start": 4221.07, "end": 4222.07, "word": " وبالتالي", "probability": 0.90361328125}, {"start": 4222.07, "end": 4222.33, "word": " صار", "probability": 0.971435546875}, {"start": 4222.33, "end": 4222.47, "word": " فيه", "probability": 0.786376953125}, {"start": 4222.47, "end": 4222.77, "word": " bias", "probability": 0.76611328125}, {"start": 4222.77, "end": 4223.35, "word": " باتجاه", "probability": 0.86639404296875}, {"start": 4223.35, "end": 4224.15, "word": " الـ", "probability": 0.86279296875}, {"start": 4224.15, "end": 4224.81, "word": " outlier", "probability": 0.4417724609375}, {"start": 4224.81, "end": 4225.55, "word": " باتجاه", "probability": 0.825927734375}, {"start": 4225.55, "end": 4225.69, "word": " ال", "probability": 0.89697265625}, {"start": 4225.69, "end": 4226.07, "word": " noise", "probability": 0.47607421875}, {"start": 4226.07, "end": 4226.49, "word": " data", "probability": 0.486328125}, {"start": 4226.49, "end": 4227.43, "word": " عشان", "probability": 0.9542643229166666}, {"start": 4227.43, "end": 4227.91, "word": " يتجنب", "probability": 0.99453125}, {"start": 4227.91, "end": 4228.03, "word": " ال", "probability": 0.97412109375}, {"start": 4228.03, "end": 4228.33, "word": " noise", "probability": 0.97998046875}, {"start": 4228.33, "end": 4228.73, "word": " data", "probability": 0.95263671875}, {"start": 4228.73, "end": 4229.39, "word": " ال", "probability": 0.8955078125}, {"start": 4229.39, "end": 4229.69, "word": " robust", "probability": 0.92333984375}, {"start": 4229.69, "end": 4230.19, "word": " scalar", "probability": 0.65087890625}, {"start": 4230.19, "end": 4230.55, "word": " هذا", "probability": 0.8935546875}, {"start": 4230.55, "end": 4231.45, "word": " بيروح", "probability": 0.8675537109375}, {"start": 4231.45, "end": 4232.03, "word": " بيعتمد", "probability": 0.9021484375}, {"start": 4232.03, "end": 4232.23, "word": " على", "probability": 0.87841796875}, {"start": 4232.23, "end": 4232.37, "word": " ال", "probability": 0.97705078125}, {"start": 4232.37, "end": 4232.79, "word": " median", "probability": 0.6943359375}, {"start": 4232.79, "end": 4234.29, "word": " و", "probability": 0.58154296875}, {"start": 4234.29, "end": 4234.35, "word": " ال", "probability": 0.7158203125}, {"start": 4234.35, "end": 4235.01, "word": " quartiles", "probability": 0.8203125}, {"start": 4235.01, "end": 4235.93, "word": " ايش", "probability": 0.7318522135416666}, {"start": 4235.93, "end": 4236.07, "word": " ال", "probability": 0.97705078125}, {"start": 4236.07, "end": 4238.75, "word": " median؟", "probability": 0.7138671875}, {"start": 4238.75, "end": 4239.09, "word": " ايش", "probability": 0.9422200520833334}, {"start": 4239.09, "end": 4239.23, "word": " ال", "probability": 0.97314453125}, {"start": 4239.23, "end": 4239.51, "word": " median؟", "probability": 0.70654296875}, {"start": 4239.51, "end": 4240.07, "word": " الوسيط", "probability": 0.9366455078125}, {"start": 4240.07, "end": 4241.51, "word": " ال", "probability": 0.30224609375}, {"start": 4241.51, "end": 4242.15, "word": " quartiles", "probability": 0.613525390625}, {"start": 4242.15, "end": 4243.07, "word": " القيم", "probability": 0.874267578125}, {"start": 4243.07, "end": 4243.75, "word": " تبعت", "probability": 0.7802734375}, {"start": 4243.75, "end": 4244.37, "word": " الأرباع", "probability": 0.9254557291666666}, {"start": 4244.37, "end": 4244.75, "word": " تبعت", "probability": 0.8873697916666666}, {"start": 4244.75, "end": 4245.29, "word": " العناصر", "probability": 0.96435546875}, {"start": 4245.29, "end": 4245.41, "word": " اللي", "probability": 0.88818359375}, {"start": 4245.41, "end": 4245.83, "word": " موجودة", "probability": 0.9859619140625}, {"start": 4245.83, "end": 4246.15, "word": " عندى", "probability": 0.6414794921875}], "temperature": 1.0}, {"id": 156, "seek": 425385, "start": 4246.76, "end": 4253.86, "text": "وبهيك هو بتجنب تأثير ال noise attributes لتظهر أو ال noise value لتظهر عنده", "tokens": [37746, 3224, 1829, 4117, 31439, 39894, 7435, 1863, 3555, 6055, 10721, 12984, 13546, 2423, 5658, 17212, 5296, 2655, 19913, 3224, 2288, 34051, 2423, 5658, 2158, 5296, 2655, 19913, 3224, 2288, 43242, 3224], "avg_logprob": -0.15411931818181818, "compression_ratio": 1.1666666666666667, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 4246.76, "end": 4247.28, "word": "وبهيك", "probability": 0.7867431640625}, {"start": 4247.28, "end": 4247.38, "word": " هو", "probability": 0.82861328125}, {"start": 4247.38, "end": 4247.94, "word": " بتجنب", "probability": 0.9197998046875}, {"start": 4247.94, "end": 4248.4, "word": " تأثير", "probability": 0.99462890625}, {"start": 4248.4, "end": 4248.56, "word": " ال", "probability": 0.90185546875}, {"start": 4248.56, "end": 4248.98, "word": " noise", "probability": 0.5126953125}, {"start": 4248.98, "end": 4250.38, "word": " attributes", "probability": 0.3193359375}, {"start": 4250.38, "end": 4252.22, "word": " لتظهر", "probability": 0.91748046875}, {"start": 4252.22, "end": 4252.4, "word": " أو", "probability": 0.5869140625}, {"start": 4252.4, "end": 4252.52, "word": " ال", "probability": 0.935546875}, {"start": 4252.52, "end": 4252.74, "word": " noise", "probability": 0.92333984375}, {"start": 4252.74, "end": 4253.12, "word": " value", "probability": 0.978515625}, {"start": 4253.12, "end": 4253.58, "word": " لتظهر", "probability": 0.98583984375}, {"start": 4253.58, "end": 4253.86, "word": " عنده", "probability": 0.948486328125}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4254.244, "duration_after_vad": 4052.235624999988}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/GPEcN85s2Oo_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/GPEcN85s2Oo_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..a44cec872d904166253ef3444f6461bbc37da90d
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/GPEcN85s2Oo_postprocess.srt
@@ -0,0 +1,844 @@
+1
+00:00:01,140 --> 00:00:03,520
+باسم الله و الحمد لله و الصلاة والسلام علي رسول
+
+2
+00:00:03,520 --> 00:00:08,140
+الله هذا التسجيل الأخير ان شاء الله في chapter ال
+
+3
+00:00:08,140 --> 00:00:12,840
+clustering عفوا قبل الأخير بيضللنا في تسجيل ان شاء
+
+4
+00:00:12,840 --> 00:00:16,540
+الله هيكون عملي باعتماد ال python الصحيح فشوف في
+
+5
+00:00:16,540 --> 00:00:24,320
+شغل ال python بعض الإبداعات منكم و بعضكم .. حلو
+
+6
+00:00:24,320 --> 00:00:25,480
+حلو حلو طبعك ماستور
+
+7
+00:00:28,370 --> 00:00:31,030
+البداية الشبتر ان ال cluster هي عبارة عن عملية
+
+8
+00:00:31,030 --> 00:00:34,230
+تقسيم ال instances بناء على تشابه او similarities
+
+9
+00:00:34,230 --> 00:00:38,570
+ما بينهم لمجموعات في عند partition ال cluster و ال
+
+10
+00:00:38,570 --> 00:00:41,070
+partition ال cluster انه مايكونش في عنده overlap
+
+11
+00:00:41,070 --> 00:00:44,550
+clusters و في عنده hierarchical cluster انه انا
+
+12
+00:00:44,550 --> 00:00:48,870
+فعليا مقدر اشوف كل cluster بينتمي لأي cluster و
+
+13
+00:00:48,870 --> 00:00:51,330
+طبعا هان بتحكم في عدد ال clusters اللي انا بدي
+
+14
+00:00:51,330 --> 00:00:55,310
+اياها كل clusterبساطة، اليوم ان شاء الله نتكلم عن
+
+15
+00:00:55,310 --> 00:00:59,990
+جزئية evaluation طبعاً لما نتكلم عن evaluation
+
+16
+00:00:59,990 --> 00:01:07,030
+كتقييم ال ..
+
+17
+00:01:07,030 --> 00:01:11,390
+نتكلم عن التقييم، هل التقييم وارد في ال
+
+18
+00:01:11,390 --> 00:01:16,990
+clustering؟ التقييم كتقييم في ال clustering إذا ال
+
+19
+00:01:16,990 --> 00:01:21,650
+data 6 بقى unlabeled ولا عمره بيكون صحلأن انا
+
+20
+00:01:21,650 --> 00:01:27,410
+فعليا لازم اتدخل ل human عفوا المقصود ان التقييم
+
+21
+00:01:27,410 --> 00:01:35,220
+مستحيل يكون صحيح او حاليا بدي اقول انه يكاد يكونمن
+
+22
+00:01:35,220 --> 00:01:40,060
+المستحيل تطبيق التقييم إلا من خلال expert قادر
+
+23
+00:01:40,060 --> 00:01:45,460
+فعليا على دراسة كل instance و فعليا أنها تنتمي ل
+
+24
+00:01:45,460 --> 00:01:49,620
+cluster أو متشابه مع العناصر اللي موجودة عندها لكن
+
+25
+00:01:49,620 --> 00:01:54,920
+إحنا هلأ لما نتكلم عن ال clusteringأنا لدي
+
+26
+00:01:54,920 --> 00:01:58,140
+algorithm و data set و طبقت على ال data set هل في
+
+27
+00:01:58,140 --> 00:02:01,520
+مجال أعمل evaluation لل algorithm أو للناتج اللي
+
+28
+00:02:01,520 --> 00:02:06,160
+موجود؟ أه في مجال لكن في حالة واحدة فقط إذا انا
+
+29
+00:02:06,160 --> 00:02:10,720
+اعتمدت ان في عندي labelled data set طب احنا قلنا
+
+30
+00:02:10,720 --> 00:02:15,020
+من البداية ان
+
+31
+00:02:15,020 --> 00:02:17,800
+ال cluster بتشتغل على ال test set يعني ال label مش
+
+32
+00:02:17,800 --> 00:02:22,580
+موجود صحيح الفكرة وين ان انا بدي افصل ال data set
+
+33
+00:02:22,580 --> 00:02:31,250
+تبعتيمجموعة الـ attributes لحال و ال target label
+
+34
+00:02:31,250 --> 00:02:40,670
+لحالي وبعد هيك اعمل لهادي clustering بدي اعمل هنا
+
+35
+00:02:40,670 --> 00:02:44,590
+clustering لل data set اللي موجودة عندي هنا وبناء
+
+36
+00:02:44,590 --> 00:02:48,270
+على ال clusters انا عارف ان كل instance بتتبع اي
+
+37
+00:02:48,270 --> 00:02:54,960
+label فبصير انا بقى اقارن ال labelاللي عندي مع ال
+
+38
+00:02:54,960 --> 00:02:57,100
+clusters اللي هو اللي عندي هان وبناءً عن هيكت بحصل
+
+39
+00:02:57,100 --> 00:03:02,660
+على تقييم وبالتالي لما احنا بنتكلم على ال ال ال ال
+
+40
+00:03:02,660 --> 00:03:03,400
+ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال
+
+41
+00:03:03,400 --> 00:03:04,060
+ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال
+
+42
+00:03:04,060 --> 00:03:05,500
+ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال
+
+43
+00:03:05,500 --> 00:03:06,460
+ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال
+
+44
+00:03:06,460 --> 00:03:07,520
+ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال
+
+45
+00:03:07,520 --> 00:03:07,620
+ال ال ال ال
+
+46
+00:03:22,210 --> 00:03:28,550
+لأن النتائج اللي موجودة عندي ماحدش بيقول عنها صح
+
+47
+00:03:28,550 --> 00:03:31,570
+أو خطأ يعني انا استخدمت two different algorithms
+
+48
+00:03:31,570 --> 00:03:36,930
+وقلتلهم والله جسمولي ال data set كpartitional ل
+
+49
+00:03:36,930 --> 00:03:46,770
+three clusters طلعولي three clustersمش ضروري مش
+
+50
+00:03:46,770 --> 00:03:50,350
+ضروري العناصر اللي في ال cluster الأول هي نفسها
+
+51
+00:03:50,350 --> 00:03:51,970
+اللي في العناصر ال cluster التاني ناتج ال
+
+52
+00:03:51,970 --> 00:04:00,600
+algorithm وبالتالي مقارنة ال output شبه مستحيلةإذا
+
+53
+00:04:00,600 --> 00:04:02,640
+كنت أقول أن الـ Algorithm أعطاني نفس النتيجة أو
+
+54
+00:04:02,640 --> 00:04:05,880
+نفس الـ الـ فايدة من التاني، فلا تتميز التاني عنه
+
+55
+00:04:05,880 --> 00:04:10,360
+تمام، إلا فعليًا لو الـ Data كانت فعليًا الـ Data
+
+56
+00:04:10,360 --> 00:04:13,960
+Discriminant الـ Instances ميالة لـ Different Tree
+
+57
+00:04:13,960 --> 00:04:18,180
+Classes وكل واحدة، كل Instance تنتمي ل Class، يعني
+
+58
+00:04:18,180 --> 00:04:22,100
+في عندي Discriminant Attribute وجادرياش توصفليهم
+
+59
+00:04:22,100 --> 00:04:25,100
+أو توديليهم على الـ Certain Class أو الـ Target
+
+60
+00:04:25,100 --> 00:04:30,020
+Cluster عفواً بشكل كويس، لكن لما أنا فعليًابطبق
+
+61
+00:04:30,020 --> 00:04:34,000
+ممكن باعتمادي على ال training set ال training set
+
+62
+00:04:34,000 --> 00:04:39,000
+إذا أنا طبقت ال cluster algorithm على ال training
+
+63
+00:04:39,000 --> 00:04:43,020
+set تلاحظين معايا يا جماعة الخير؟ لما أنا بدي أعمل
+
+64
+00:04:43,020 --> 00:04:45,720
+evaluation .. الآن فعليا .. فعليا ليه clustering
+
+65
+00:04:45,720 --> 00:04:49,580
+unsupervised learning؟ يعني أنا بتجاهل ال label أو
+
+66
+00:04:49,580 --> 00:04:53,560
+ال label مش موجود في ال data set هذه واحدة لما أنا
+
+67
+00:04:53,560 --> 00:04:59,370
+بدي أعمله evaluation لل algorithm تمام؟بقدر اعمل
+
+68
+00:04:59,370 --> 00:05:03,170
+evaluation في حالة واحدة فقط اذا انا قدرت اطبقه
+
+69
+00:05:03,170 --> 00:05:06,410
+على training set شو training set يعني في عندي
+
+70
+00:05:06,410 --> 00:05:09,930
+label طب هل الكلام هذا موجود؟ اه موجود بصير كل
+
+71
+00:05:09,930 --> 00:05:15,670
+label كل class بمثابة cluster كل class بمثابة
+
+72
+00:05:15,670 --> 00:05:21,910
+cluster و بروح باخف ال class و بجسم ال data set
+
+73
+00:05:21,910 --> 00:05:24,210
+بدون ال cluster زي ما واجهتكوا في ال slide السابقة
+
+74
+00:05:24,210 --> 00:05:30,020
+زي ما رسلناها يعني انا الآنهي ال data set تبعي
+
+75
+00:05:30,020 --> 00:05:37,920
+كمان مرة فصلت ال cluster
+
+76
+00:05:37,920 --> 00:05:40,940
+أو فصلت ال data set ال attribute وال label أو ال
+
+77
+00:05:40,940 --> 00:05:46,720
+class جسم
+
+78
+00:05:46,720 --> 00:05:49,200
+ال data set صار عندى الآن هي ال label وهي ال
+
+79
+00:05:49,200 --> 00:05:55,150
+attribute الآن باجب اطبق ال clustering handطبق الـ
+
+80
+00:05:55,150 --> 00:05:57,170
+Clustering على الـ Attributes اللي موجودة عندها
+
+81
+00:05:57,170 --> 00:06:02,830
+على الـ Instances اللي موجودة تمام، الآن فعلياً كل
+
+82
+00:06:02,830 --> 00:06:07,870
+Instance بتبقى Class وفي عندى مجموعة Instances في
+
+83
+00:06:07,870 --> 00:06:10,470
+نفس ال class بين جسين أنه فعلياً ال data already
+
+84
+00:06:10,470 --> 00:06:15,590
+منجسمة فإذا أنا قدرت أربط ما بين ال true cluster
+
+85
+00:06:15,590 --> 00:06:21,890
+اللي هي ال label و ال predicted cluster اللي موجود
+
+86
+00:06:21,890 --> 00:06:26,610
+عندهابقدر أنشئ شغل اسمها الـ Contingency Matrix
+
+87
+00:06:26,610 --> 00:06:29,930
+ومن الـ Contingency Matrix ممكن أن اتكلم على شغل
+
+88
+00:06:29,930 --> 00:06:36,160
+اول metric هسميها الـ Durityتعالى نتكلم عن الـ
+
+89
+00:06:36,160 --> 00:06:38,920
+Contingency Matrix ايش الـ Contingency Matrix
+
+90
+00:06:38,920 --> 00:06:43,720
+بتقول ان لدي ثلاثة .. طبعا لاحظوا يا جماعة الخير
+
+91
+00:06:43,720 --> 00:06:47,960
+في موقزي انا بدي اختبر Clustering Algorithm في
+
+92
+00:06:47,960 --> 00:06:51,980
+عندي label data set ال label data set فيها عدد
+
+93
+00:06:51,980 --> 00:06:55,800
+classes معين N لما بدي استخدم ال Clustering
+
+94
+00:06:55,800 --> 00:06:59,020
+Algorithm بدي اقول جسمليها لـ N من ال cluster لأن
+
+95
+00:06:59,020 --> 00:07:02,800
+كل cluster بدي ميثل Classفأنا بفترض أنه عندي data
+
+96
+00:07:02,800 --> 00:07:07,680
+set مكوّنة من three classes label data set مكوّنة
+
+97
+00:07:07,680 --> 00:07:13,080
+من three classes بتسميهم T1 وT2 وT3 من true true
+
+98
+00:07:13,080 --> 00:07:18,520
+cluster أو true segment أو true partition سميها زي
+
+99
+00:07:18,520 --> 00:07:24,380
+ما بدك true label سميها زي ما بدكواوC1 وC2 وC3 هما
+
+100
+00:07:24,380 --> 00:07:28,060
+الـ clusters اللي انشغلياهم من ال algorithm اللي
+
+101
+00:07:28,060 --> 00:07:31,580
+موجود عندها ايش راح اجلب؟ ايش بفهم ال contingency
+
+102
+00:07:31,580 --> 00:07:41,000
+matrix؟ انه في C1 C1 خمسة وعشرين element بينتمي ل
+
+103
+00:07:41,000 --> 00:07:45,020
+T2 وخمسة
+
+104
+00:07:45,020 --> 00:07:50,410
+element بينتمي ل T3 وخمس عناصر بينتمي ل T3يعني
+
+105
+00:07:50,410 --> 00:07:56,730
+عندي 25 عنصر من T ناتج
+
+106
+00:07:56,730 --> 00:08:06,470
+ال clustering C1 بيحتوي على 30 عنصر 25 منهم حقيقة
+
+107
+00:08:06,470 --> 00:08:12,550
+من ال class التاني و 5 من ال class التالت و لا
+
+108
+00:08:12,550 --> 00:08:18,880
+واحد من ال class الأولT2 أو cluster C2 بيحتوي على
+
+109
+00:08:18,880 --> 00:08:25,100
+35 عنصر 15 من ال class الأول و 20 من ال class
+
+110
+00:08:25,100 --> 00:08:32,220
+التالت cluster تلاتة بيحتوي على عشر عناصر فقط كلهم
+
+111
+00:08:32,220 --> 00:08:40,100
+كلهم بيتبعوا T1 الآن هذا الكلام إذا انا افهمته
+
+112
+00:08:41,270 --> 00:08:45,670
+معناته أنا مش ضروري الـ Clustering algorithm تبعي
+
+113
+00:08:45,670 --> 00:08:49,250
+يكون صح مائة في المائة ممتاز طب متى بيكون صح مائة
+
+114
+00:08:49,250 --> 00:08:57,710
+في المائة إذا والله أنا إجيت قولت هيك مثلًا
+
+115
+00:08:57,710 --> 00:09:00,830
+حصرت على صورة واحدة من الصور التالية فانا هتكلم عن
+
+116
+00:09:00,830 --> 00:09:08,150
+ال matrix لو أنا إجيت قولت هنا والله عندي
+
+117
+00:09:08,150 --> 00:09:08,990
+هنا تلاتين
+
+118
+00:09:12,600 --> 00:09:24,500
+وعندي هنا 20 وعندي هنا 50 وانا
+
+119
+00:09:24,500 --> 00:09:28,740
+C1 C2
+
+120
+00:09:28,740 --> 00:09:39,400
+وC3 والباقي أصفر طبعا هنا T1 T2 T3 وانا اتعمدت احط
+
+121
+00:09:39,400 --> 00:09:45,560
+القيم نفس الكيفيةلحظوا معايا إنه فعليا كل cluster
+
+122
+00:09:45,560 --> 00:09:50,720
+completely pure صافي مافيش فيه أي .. يعني كل
+
+123
+00:09:50,720 --> 00:09:53,800
+cluster مثل واحدة من ال classes اللي موجودة عندى
+
+124
+00:09:53,800 --> 00:09:57,980
+كل cluster مثل واحدة فقط من ال classes اللي موجودة
+
+125
+00:09:57,980 --> 00:10:01,920
+عندى وهنا بتكلم إنه فعليا كل cluster نقي تماما
+
+126
+00:10:01,920 --> 00:10:06,740
+بيحتوي عناصر من نفس ال class فقط عشان هي كان
+
+127
+00:10:06,740 --> 00:10:10,900
+بنتكلم احنا على ال purity نقاوة أو نقاء درجة
+
+128
+00:10:10,900 --> 00:10:17,700
+النقاءطيب، بما أن الحالة دي هي الـ optimal case أو
+
+129
+00:10:17,700 --> 00:10:21,640
+الـ ideal case واللي أنا فعلا مش هحصل عليها، أنا
+
+130
+00:10:21,640 --> 00:10:24,400
+هحصل على شغل مشابه زي هيك من خلال الـ contingency
+
+131
+00:10:24,400 --> 00:10:28,020
+matrix كيف أحسب الـ purity؟ الـ purity هي تساوي
+
+132
+00:10:28,020 --> 00:10:35,180
+عبارة عن مجموع ال maximum في كل صفر ال maximum عدد
+
+133
+00:10:35,180 --> 00:10:40,410
+maximum للـ Ti تنتمي لCعلى الان ال maximum خمسة و
+
+134
+00:10:40,410 --> 00:10:44,750
+عشرين ال maximum عشرين ال maximum عشرة يعني خمسة و
+
+135
+00:10:44,750 --> 00:10:49,430
+عشرين زائد عشرين زائد عشرةعندما اتكلم عن خمسة و
+
+136
+00:10:49,430 --> 00:10:53,550
+خمسين على كل الان خمسة و خمسين و في عندى اضيفهم
+
+137
+00:10:53,550 --> 00:10:58,670
+هنا على خمسة و سبعين بتكلم على ال purity الان ان
+
+138
+00:10:58,670 --> 00:11:04,870
+عندي هان تلاتين خمسة و تلاتين هي خمسة و ستين خمسة
+
+139
+00:11:04,870 --> 00:11:10,750
+و سبعين معناته عندى انا هان خمسةاللي عندي هنا
+
+140
+00:11:10,750 --> 00:11:13,830
+نتكلم .. احنا قولنا ال maximum خمسة و أربعين ..
+
+141
+00:11:13,830 --> 00:11:21,510
+خمسة و خمسين .. خمسة و خمسين على خمسة و سبعين هذه
+
+142
+00:11:21,510 --> 00:11:23,970
+ال purity تبع ال cluster أو تبع ال contingency
+
+143
+00:11:23,970 --> 00:11:29,990
+matrix اللي موجودة عندي
+
+144
+00:11:29,990 --> 00:11:34,250
+طيب .. تعالى نشوف المثال البسيط اللي عندي هاد
+
+145
+00:11:41,930 --> 00:11:45,370
+أنا مش بقول، بقول إن أنا الـPurity بقدر أحسبها إذا
+
+146
+00:11:45,370 --> 00:11:50,690
+كانت بتعامل مع test set بتحتوي على target class
+
+147
+00:11:50,690 --> 00:11:56,970
+تخيل، عشان يدمج التعريف هذا الـdefinition هذا عشان
+
+148
+00:11:56,970 --> 00:12:00,610
+يدمج ما بين الشغلتين بين إنه فعليا الـclustering
+
+149
+00:12:00,610 --> 00:12:05,230
+تطبق على test set وأنا مقدرش أروح أقدر أعمل
+
+150
+00:12:05,230 --> 00:12:09,980
+evaluation إلا غير لو كان ال label موجودفجالي ال
+
+151
+00:12:09,980 --> 00:12:12,960
+test set بتحتوي على target التي بنجوزني training
+
+152
+00:12:12,960 --> 00:12:20,520
+set و لا شو رأيكوا training
+
+153
+00:12:20,520 --> 00:12:25,220
+set بيبقى الان بقول افترض ان انا في عندى test set
+
+154
+00:12:25,220 --> 00:12:29,900
+مكونة من 24 element بتنتمي ل three different
+
+155
+00:12:29,900 --> 00:12:39,530
+classes ال O او ال circleTriangle وSquare ومجسم
+
+156
+00:12:39,530 --> 00:12:45,490
+العناصر بالتساوي 8888 بعد ما طبقت ال clustering
+
+157
+00:12:45,490 --> 00:12:50,510
+تبعت ال cluster C1 فيها العناصر التالية ال cluster
+
+158
+00:12:50,510 --> 00:12:55,650
+C2 و ال cluster C3 طبعا هنا في مصطلح جديد اضيفه
+
+159
+00:12:55,650 --> 00:13:01,630
+نقاء كل cluster نقاء كل cluster بشكل مستقل اذا
+
+160
+00:13:01,630 --> 00:13:07,380
+سألتك ال cluster الأول بمثل ايش؟معظمكم حيقولوا و
+
+161
+00:13:07,380 --> 00:13:12,880
+الله هذا بيمثل المثلثات ال triangles و اللي تحت
+
+162
+00:13:12,880 --> 00:13:16,480
+التاني هيمثل المربعات الحمراء و هذه هيمثل الدوائر
+
+163
+00:13:16,480 --> 00:13:19,340
+الخضراء، مظبوط؟ فبالتالي أنا بقدر أحسب ال purity
+
+164
+00:13:19,340 --> 00:13:22,300
+تبع كل cluster ال cluster الأول بيحتوي على 9 عناصر
+
+165
+00:13:22,300 --> 00:13:26,420
+و ال maximum كانت لمين؟ للمثلثات، معناته 6 على 9
+
+166
+00:13:26,420 --> 00:13:29,880
+لكن مش هي ال target تبعتي، أنا مابهمنيش ال purity
+
+167
+00:13:29,880 --> 00:13:34,820
+تبع كل class أنا اللي بيهمني ال purity لكل output
+
+168
+00:13:34,820 --> 00:13:40,340
+مرة واحدةللـ algorithm ال element 24 element هروح
+
+169
+00:13:40,340 --> 00:13:44,920
+أدور هانالـ maximum هنا 6 الـ maximum هنا 5 الـ
+
+170
+00:13:44,920 --> 00:13:49,980
+maximum هنا 5 6 زائد 5 زايد 5 على 24 16 على 24
+
+171
+00:13:49,980 --> 00:13:53,660
+درجة النقاء اللي بيعطينا إياها ال cluster هذا بشكل
+
+172
+00:13:53,660 --> 00:14:00,460
+عام 76.67% و هيك بتتم حسبة ال purity تبعتنا هنا
+
+173
+00:14:00,460 --> 00:14:04,220
+طبعا كمان مرة برجع بقول أنا بقدر أتكلم بشكل مبدئي
+
+174
+00:14:04,220 --> 00:14:09,910
+ال majority تبع كل cluster كذاغالبية تبعت كل
+
+175
+00:14:09,910 --> 00:14:13,370
+cluster كده لكن ال purity تبعتها هتكون هذه مش
+
+176
+00:14:13,370 --> 00:14:17,330
+واضحة فعليا لو قلع عندي cluster مادة نسوشي و
+
+177
+00:14:17,330 --> 00:14:22,150
+بينتمي مثلا فقط ل two clusters ل two classes يعني
+
+178
+00:14:22,150 --> 00:14:25,770
+من نوعين مختلفين هقول ال purity لمين فبتصير ال
+
+179
+00:14:25,770 --> 00:14:29,990
+purity هذه غير واضحة أو بتصير مفهومها غير دقيق أنا
+
+180
+00:14:29,990 --> 00:14:34,770
+اللي بهمني ال purity تبعت ال cluster بشكل عامطبعاً
+
+181
+00:14:34,770 --> 00:14:38,790
+أنا فيه متريكز تانية ممكن تستخدم نفس المبدأ الـ
+
+182
+00:14:38,790 --> 00:14:41,230
+Ground Truth إن أنا فعلياً لازم يكون فيه training
+
+183
+00:14:41,230 --> 00:14:44,710
+data set وهذا مفهوم Ground Truth يعني الحقيقة
+
+184
+00:14:44,710 --> 00:14:47,690
+الأمر الواقع، إيش الأمر الواقع؟ الأمر الواقع ال
+
+185
+00:14:47,690 --> 00:14:51,510
+class اللي موجود عندها، اللي هي الأساس، تمام؟ وهذا
+
+186
+00:14:51,510 --> 00:14:57,250
+فعلياً أنا لما بطبق ال data setأو Clustering على
+
+187
+00:14:57,250 --> 00:14:59,690
+الـ Training Set اللي موجودة هنا في عندي الـ
+
+188
+00:14:59,690 --> 00:15:04,710
+Adjusted Random Index وفي عندي Normalized Mutual
+
+189
+00:15:04,710 --> 00:15:09,450
+Information وهذه بتديني قيم من صفر لواحد وكل ما
+
+190
+00:15:09,450 --> 00:15:15,390
+كانت القيمةأقرب للواحد معينته الـ purity تبعتي أو
+
+191
+00:15:15,390 --> 00:15:19,830
+الـ scale تبعي ال algorithm تبعتي أفضل الصحيح أنا
+
+192
+00:15:19,830 --> 00:15:25,010
+مش هاطلب منكوا العمليات الحسابية اللي موجودة عند
+
+193
+00:15:25,010 --> 00:15:28,810
+هان نفس الكلام هي في عند contingency matrix عند ال
+
+194
+00:15:28,810 --> 00:15:30,890
+actual class
+
+195
+00:15:32,410 --> 00:15:38,490
+عن طريق الـ Predicted Cluster في نفس الحسبة لكن
+
+196
+00:15:38,490 --> 00:15:43,770
+هنا بتكلم عن جداش الـ elements من كل عنصر تماما
+
+197
+00:15:43,770 --> 00:15:47,710
+الحسبة مش مطلوبة يا جماعة الخير لكن هوريكم إياها
+
+198
+00:15:47,710 --> 00:15:51,830
+إن شاء الله في العمل وبهيك نهينا شبترنا يعني أنا
+
+199
+00:15:51,830 --> 00:15:55,630
+الآن لما أتكلم على ال evaluation ممكن أتكلم على
+
+200
+00:15:55,630 --> 00:15:59,590
+three different metrics3 مترات مختلفة لـ Purity
+
+201
+00:15:59,590 --> 00:16:03,710
+وهي مطموعة منكوا حسابيتها لأنها سهلة ال maximum ال
+
+202
+00:16:03,710 --> 00:16:06,390
+summation للماكسيممم في كل cluster على عدد ال
+
+203
+00:16:06,390 --> 00:16:09,130
+elements كلها في ال data set وهي بتمثل ال purity
+
+204
+00:16:09,130 --> 00:16:14,890
+في عندي مجرد مصطلحين أخرين أخرين بدي أسمعهم بدي
+
+205
+00:16:14,890 --> 00:16:19,810
+أحرفهم اللي هو adjusted rank index وnormalize
+
+206
+00:16:19,810 --> 00:16:25,010
+mutual information هي عبارة عن rank بحسب ال
+
+207
+00:16:25,010 --> 00:16:30,060
+similarity between any two clustersحسبة مش مطلوبة
+
+208
+00:16:30,060 --> 00:16:33,520
+لكن فعلياً هي عبارة عن evaluation metric انا ممكن
+
+209
+00:16:33,520 --> 00:16:36,580
+او جد استخدمها مع ال clustering اللي يعطيكوا
+
+210
+00:16:36,580 --> 00:16:39,320
+العافية و بتمنالكوا التوفيق السلام عليكم ورحمة
+
+211
+00:16:39,320 --> 00:16:39,440
+الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0.srt
new file mode 100644
index 0000000000000000000000000000000000000000..84f2afc78e186b7f69c36578d8093e0df3e8c008
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0.srt
@@ -0,0 +1,882 @@
+1
+00:00:00,000 --> 00:00:02,940
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:02,940 --> 00:00:07,260
+أهلا وسهلا فيكم بالمحاضرة الثانية في الـ regression
+
+3
+00:00:07,260 --> 00:00:12,580
+وهنا هنتكلم عن الـ multiple regression كنا في
+
+4
+00:00:12,580 --> 00:00:16,400
+المحاضرة الماضية اتكلمنا عن الـ simple linear
+
+5
+00:00:16,400 --> 00:00:19,440
+regression وقلنا simple linear regression معناته
+
+6
+00:00:19,440 --> 00:00:23,960
+أنا عندي معادلة خط مستقيم واحد فقط اللي هي Y عفوا
+
+7
+00:00:23,960 --> 00:00:25,400
+خليني أُحرك الـ pointer
+
+8
+00:00:37,800 --> 00:00:44,480
+قلنا في معادلة الخط المستقيم أن الـ Y تساوي الـ M
+
+9
+00:00:44,480 --> 00:00:59,140
+X زائد الـ B وقلنا أن الـ M عندها تساوي
+
+10
+00:00:59,140 --> 00:01:14,070
+مجموع X I ناقص متوسط X مضروبة في Y I ناقص متوسط الـ
+
+11
+00:01:14,070 --> 00:01:19,330
+Y على مجموع
+
+12
+00:01:19,330 --> 00:01:30,310
+X I ناقص متوسط الـ X كل تربيع والـ B
+
+13
+00:01:33,710 --> 00:01:39,590
+متوسط Y ناقص M
+
+14
+00:01:42,630 --> 00:01:47,090
+الـ X فشوفنا مع بعض كيف احنا وصلنا للمعادلة أو
+
+15
+00:01:47,090 --> 00:01:49,950
+اشتغلنا مع بعض وشوفنا الـ simple linear regression
+
+16
+00:01:49,950 --> 00:01:52,590
+اليوم إن شاء الله تعالى هنتكلم على الـ multiple زي
+
+17
+00:01:52,590 --> 00:01:55,470
+ما وعدناكم هنتكلم على الـ multiple regression وما
+
+18
+00:01:55,470 --> 00:01:58,210
+زالَ نتكلم على الـ simple linear regression الـ
+
+19
+00:01:58,210 --> 00:02:01,450
+regression لكنَّه نتكلم على الـ multiple الآن لما أنا
+
+20
+00:02:01,450 --> 00:02:03,510
+أتكلم على الـ multiple regression معناته أنا بدي
+
+21
+00:02:03,510 --> 00:02:07,270
+أتوقع العلاقة زي ما قلنا سابقا بين الـ multiple
+
+22
+00:02:07,270 --> 00:02:11,010
+attributes أو multiple variables في عندي more than
+
+23
+00:02:12,010 --> 00:02:14,770
+one independent attribute وقلنا من الأمثلة
+
+24
+00:02:14,770 --> 00:02:19,510
+الموجودة عليها الـ income و الـ education أو تأثير
+
+25
+00:02:19,510 --> 00:02:22,830
+الـ income و الـ education و الـ living area على
+
+26
+00:02:22,830 --> 00:02:26,730
+تأثير
+
+27
+00:02:26,730 --> 00:02:31,610
+قيمة الدخل والتعليم على المنطقة اللي يعيش فيها
+
+28
+00:02:31,610 --> 00:02:35,290
+الشخص اللي موجود عندها طبعا لما بتكلم على زيادة
+
+29
+00:02:35,290 --> 00:02:38,410
+عدد الـ variables أو عدد الـ independent variables
+
+30
+00:02:39,300 --> 00:02:43,460
+معناته أنا بزيد من تعقيد عملية الـ prediction لأنَّه
+
+31
+00:02:43,460 --> 00:02:47,460
+أنا فعليا بدي أتكلّم على .. بدي أوجد علاقة ما بين
+
+32
+00:02:47,460 --> 00:02:50,660
+كل الـ attributes هذه مجتمعة طبعا يا جماعة الخير
+
+33
+00:02:50,660 --> 00:02:55,220
+عشان بس قبل ما أنا أتكلّم شغلة ليش احنا بالتحديد
+
+34
+00:02:55,220 --> 00:03:00,660
+قلنا linear regression معادلة خطية لأن الرتبة
+
+35
+00:03:00,660 --> 00:03:05,360
+تبعها هي لاحظوا يا جماعة الخير أنا بتكلم
+
+36
+00:03:08,290 --> 00:03:11,430
+لما كنت بتكلم على الـ simple regression عفوا بالـ
+
+37
+00:03:11,430 --> 00:03:15,170
+simple regression عندي x و y ففي الآخر المعادلة
+
+38
+00:03:15,170 --> 00:03:19,930
+تبعها سواء كانت خط مستقيم أو polynomial بغض النظر
+
+39
+00:03:19,930 --> 00:03:26,930
+عن طبيعتها أنا في الآخر بتكلم في العلاقة في الـ 2D
+
+40
+00:03:26,930 --> 00:03:31,230
+ليش؟ لأن في عندي two attributes تمام طب لو كانوا
+
+41
+00:03:31,230 --> 00:03:33,650
+في عندي three attributes two independent و one
+
+42
+00:03:33,650 --> 00:03:37,550
+dependent معناته بتكلم على 3D طب لو كانوا four
+
+43
+00:03:38,380 --> 00:03:43,020
+طبعا، لاحظوا معايا في الـ linear .. linear هنصف
+
+44
+00:03:43,020 --> 00:03:49,460
+بقول خط طيب، هل ممكن يكون في عندي linear multiple
+
+45
+00:03:49,460 --> 00:03:53,260
+attributes؟ اه ممكن طبعا، تعالي خلينا نتخيل
+
+46
+00:03:53,260 --> 00:03:55,920
+المعادلة تبعي بالشكل هذا الـ multiple regression
+
+47
+00:03:55,920 --> 00:03:58,340
+لما يكون في عندك K independent attributes، هيصير
+
+48
+00:03:58,340 --> 00:04:02,660
+إيش هكونها؟ طبعا، بتكلم عن linear regression لأن
+
+49
+00:04:02,660 --> 00:04:06,560
+أعلى قيمة أو أعلى أُس X بتكون واحد، هاي المفهوم
+
+50
+00:04:06,560 --> 00:04:13,730
+الـ linear الآن الـ predicted y بيتساوي الـ intercept
+
+51
+00:04:13,730 --> 00:04:22,970
+B0 زائد الـ M1 في X1 زائد M2 في X2 زائد زائد
+
+52
+00:04:22,970 --> 00:04:29,010
+Mk أو Bk في Xk ولما أنا بدي أجي أرسم معادلة بشكل
+
+53
+00:04:29,010 --> 00:04:32,290
+هذا أبسط المعادلات اللي ممكن أستوعبها أنا في الرسم
+
+54
+00:04:32,290 --> 00:04:35,950
+بعد هيك لما يكون لدي two independent variables ها
+
+55
+00:04:35,950 --> 00:04:41,050
+هي X1 و X2 two independent variables مع الـ
+
+56
+00:04:41,050 --> 00:04:45,050
+dependent variables صاروا three attributes عشان
+
+57
+00:04:45,050 --> 00:04:48,830
+أقدر أمثلهم أنا أو أتخيلهم صح بدي أتخيل الـ 3D
+
+58
+00:04:48,830 --> 00:04:52,670
+space ممتاز طيب المعادلة الخطية في الـ 3D space
+
+59
+00:04:52,670 --> 00:04:57,050
+معناته هي بتتكلم على surface سطح والسطح هذا
+
+60
+00:04:57,050 --> 00:05:03,840
+إلي هيكون ميل هيكون مع الـ X و ميل هيكون مع الـ X
+
+61
+00:05:03,840 --> 00:05:06,000
+الثاني أو المحور الثاني بما أن أنا في عندي الـ 2X
+
+62
+00:05:06,000 --> 00:05:09,680
+X1 و X2 و الـ Y ثابتة لأن الـ Y هي الـ predicted
+
+63
+00:05:09,680 --> 00:05:13,860
+value و أنا في عندي X1 و X2 بما أن في عندي ميل مع
+
+64
+00:05:13,860 --> 00:05:20,400
+X1 و X2 وبناءً عليه أنا بتكلم على معادلة خطية
+
+65
+00:05:20,400 --> 00:05:26,260
+لكنها في الـ 3D تمام، الآن لو أنا أُفضل أو أعمل
+
+66
+00:05:26,260 --> 00:05:31,140
+prediction بالـ python بتمنى هذه الجزئية تكون سهلة
+
+67
+00:05:31,140 --> 00:05:34,320
+يعني مافيش فيها كلام أنت بدك تستوعب طب لو كان في
+
+68
+00:05:34,320 --> 00:05:36,440
+عندي أنا four attribute three independent
+
+69
+00:05:36,440 --> 00:05:40,180
+attribute جماعة الخير three independent attribute
+
+70
+00:05:40,180 --> 00:05:44,540
+و one dependent attribute يعني صاروا أربعة إيش
+
+71
+00:05:44,540 --> 00:05:48,200
+الشكل تبعي اللي أحب أتخيّله في الـ space في الـ 4D
+
+72
+00:05:48,200 --> 00:05:51,900
+بسيط بتكلم على space مكعب ممكن تكون هذا الـ space
+
+73
+00:05:51,900 --> 00:05:57,480
+cube المفروض عندما أزيد عدد الـ Attributes سأزيد
+
+74
+00:05:57,480 --> 00:06:01,880
+خيالي لكي أتكلم عليها لكن بفضل الله تبارك وتعالى
+
+75
+00:06:01,880 --> 00:06:06,220
+نحن بعد الـ 3D بنبطل نستوعب إيش اللي ممكن يصير
+
+76
+00:06:06,220 --> 00:06:09,520
+الآن تعال نشوف بالـ Python بدي أشغل على نفس
+
+77
+00:06:09,520 --> 00:06:12,780
+الطريقة أو نفس الفكرة السابقة استخدمت الـ NumPy
+
+78
+00:06:12,780 --> 00:06:17,440
+ورحت وقلت له أنا في عندي Array لكن كل رو في الـ
+
+79
+00:06:17,440 --> 00:06:21,840
+Array بيحتوي على two attributes أو two variables
+
+80
+00:06:23,550 --> 00:06:27,310
+خمسة وثلاثة يعني الـ attribute X1 خمسة في الصف
+
+81
+00:06:27,310 --> 00:06:33,670
+الأول X2 ثلاثة X1 سبعة X2 خمسة وهكذا والـ Y ده هي
+
+82
+00:06:33,670 --> 00:06:37,670
+الـ value تبعتهم لاحظوا ما تغيرش معايا ولا حاجة أنا
+
+83
+00:06:37,670 --> 00:06:43,670
+غير إنّي غيرت بس الـ X الـ attributes تبعي صارت في
+
+84
+00:06:43,670 --> 00:06:47,770
+الـ 2D dimension 2D array ولاحظوا ما كنتش محتاجة reshape
+
+85
+00:06:47,770 --> 00:06:53,060
+لأن خلاص ليش؟ لأن أنا كنت بدي حلقة في صفوف في صفوف
+
+86
+00:06:53,060 --> 00:06:56,380
+وانتهى الأمر هنا مافيش داعي إنّي أعمله Reshape الـ y
+
+87
+00:06:56,380 --> 00:07:02,340
+.unarray وهي الـ target attribute تبعي نفس الكلام
+
+88
+00:07:02,340 --> 00:07:06,020
+from sklearn.linear_model import Linear
+
+89
+00:07:06,020 --> 00:07:09,520
+Regression بنيت الموديل وعملت له fit فهنا راح
+
+90
+00:07:09,520 --> 00:07:14,850
+تعرف أو بنى الموديل وحدد الـ intercept أحدد قيمة الـ
+
+91
+00:07:14,850 --> 00:07:18,810
+slope للـ attribute الأول والـ attribute الثاني أو
+
+92
+00:07:18,810 --> 00:07:20,810
+الـ coefficient للـ attribute الأول والـ attribute
+
+93
+00:07:20,810 --> 00:07:24,230
+الثاني لو أنا طبعت بنفس الطريقة السابقة قلت له الـ
+
+94
+00:07:24,230 --> 00:07:28,390
+model.coefficient و الـ model.intercept طبع ليهم،
+
+95
+00:07:28,390 --> 00:07:34,170
+لاحظوا أنّه طبع ليها الـ model.coefficient جاب ليهم
+
+96
+00:07:34,170 --> 00:07:38,430
+على إنهم مصفوفة لأ وفيه two variables أو two
+
+97
+00:07:38,430 --> 00:07:42,930
+values ليش؟ لأن أنا فعليًا عندي two independent
+
+98
+00:07:42,930 --> 00:07:47,550
+attributes X1 و X2 فأنا رحت بس جملتها أكثر و
+
+99
+00:07:47,550 --> 00:07:50,190
+فصلتهم وطبعتهم بالشكل هذا قلت له model
+
+100
+00:07:50,190 --> 00:07:55,410
+.coefficient[0] عشان أجيب القيمة الأولى ضربتها في
+
+101
+00:07:55,410 --> 00:07:59,670
+X1 as a text زائد عشان أطبع معادلة الخط الـ .. أو
+
+102
+00:07:59,670 --> 00:08:05,630
+بلاش الـ .. الـ linear space اللي موجود عندي هذا
+
+103
+00:08:09,310 --> 00:08:12,310
+تمام وبالتالي ما اتغيرش عندي في الشغل ولا حاجة إنّه
+
+104
+00:08:12,310 --> 00:08:14,730
+غير إنّه data set طب لو أنا بعد data set بعد شو بدأ
+
+105
+00:08:14,730 --> 00:08:18,250
+أُساوي بدل ما كنت أنا آخذ أو أخدت عمود واحد الآن
+
+106
+00:08:18,250 --> 00:08:21,630
+بدأ آخذ عمودين أو ثلاثة أو أربعة عشان الـ linear
+
+107
+00:08:21,630 --> 00:08:25,290
+regression اللي مولود خلينا ننتقل للـ nonlinear مش
+
+108
+00:08:25,290 --> 00:08:28,750
+ضايل كتير عندنا في الـ slides nonlinear regression
+
+109
+00:08:28,750 --> 00:08:33,770
+nonlinear معناته أنا بتكلم على nonlinear line أنا
+
+110
+00:08:33,770 --> 00:08:38,460
+في عندي خط لكن الخط هذا غير مستقيم أو ممكن يكون في
+
+111
+00:08:38,460 --> 00:08:41,880
+عندي surface الـ surface هذا ممكن يكون على شكل
+
+112
+00:08:41,880 --> 00:08:45,780
+دائرة
+
+113
+00:08:45,780 --> 00:08:52,280
+مائلة أو slow أو ellipse بالشكل هذا فأنا الآن بقول
+
+114
+00:08:52,280 --> 00:09:00,700
+نتكلم على خط مستقيم الآن لما الـ data ما بتظهرش عندي
+
+115
+00:09:00,700 --> 00:09:01,980
+linear dependency
+
+116
+00:09:08,540 --> 00:09:12,100
+معناته أنا ممكن أَدور على accurate أو أحصل على
+
+117
+00:09:12,100 --> 00:09:14,460
+accurate model لو في حالة إن كان في عندي non
+
+118
+00:09:14,460 --> 00:09:16,700
+linear regression يعني بين قرصين الجامعة الاختيار
+
+119
+00:09:16,700 --> 00:09:21,120
+أنا ممكن أجرب وأجرب الـ linear وأجرب الـ non
+
+120
+00:09:21,120 --> 00:09:24,660
+linear وأشوف إيش المعادلة الأفضل example لو أنا
+
+121
+00:09:24,660 --> 00:09:29,940
+قلت لك هي في عندي y تساوي w0 الـ intercept لو أنا
+
+122
+00:09:29,940 --> 00:09:33,820
+بدي أتكلّم على معادلة خط اللي هي نقطة التقاطع مع الـ
+
+123
+00:09:33,820 --> 00:09:40,050
+y يوجد الـ Y و الـ W الـ coefficient تبع المتغير
+
+124
+00:09:40,050 --> 00:09:46,310
+الأول العلاقة الخطية الـ Y و W الـ W الـ Y و W الـ
+
+125
+00:09:46,310 --> 00:09:49,350
+W الـ Y و W الـ W الـ Y و W الـ W الـ Y و W الـ Y و W
+
+126
+00:09:49,350 --> 00:09:49,630
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+127
+00:09:49,630 --> 00:09:50,770
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+128
+00:09:50,770 --> 00:09:56,070
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+129
+00:09:56,070 --> 00:10:02,610
+الـ Y و W الـ  الـ equation تبعي بتأخذ different
+
+130
+00:10:02,610 --> 00:10:06,910
+forms أشكال مختلفة زي ما شفنا في ملف الـ Excel و
+
+131
+00:10:06,910 --> 00:10:11,670
+هنرجع لها على السريع في ملف الـ Excel لما قلت له الـ
+
+132
+00:10:11,670 --> 00:10:15,970
+line trend أو الـ trend line كان فيه عنده
+
+133
+00:10:15,970 --> 00:10:18,450
+exponential عنده linear عنده logarithmic عنده
+
+134
+00:10:18,450 --> 00:10:22,330
+polynomial عنده power إلى آخره الآن أنا فيه عنده
+
+135
+00:10:22,330 --> 00:10:29,910
+الـ exponential والعلاقة ما بين الـ y و الـ x إن الـ X
+
+136
+00:10:29,910 --> 00:10:35,370
+موجودة كأساس للـ exponential value E أساس B ضرب X و
+
+137
+00:10:35,370 --> 00:10:38,510
+الـ B هي الـ intercept اللي احنا بتكلم عليها يعني
+
+138
+00:10:38,510 --> 00:10:45,430
+الـ coefficient تبع الـ X الـ power value برضه
+
+139
+00:10:45,430 --> 00:10:50,150
+أنا ما زلت بتكلم هنا هذه
+
+140
+00:10:50,150 --> 00:10:53,830
+المعادلة اللي موجودة عندي هنا الـ growth saturation
+
+141
+00:10:53,830 --> 00:10:58,970
+model تبعها وفي عندي الـ polynomial اللي احنا
+
+142
+00:10:58,970 --> 00:11:05,790
+شوفناها قبل لحظات polynomial هذا الرسمة لو كان
+
+143
+00:11:05,790 --> 00:11:08,230
+عندي بيانات ورحت رسمتها وقلت لها ارسم لي الـ
+
+144
+00:11:08,230 --> 00:11:13,010
+trend اللي موجود ارسم لي المعادلة اللي موجودة مش
+
+145
+00:11:13,010 --> 00:11:16,150
+هيكون في عندي مشكلة لأن هذه مستحيل أنا ألاقي خط
+
+146
+00:11:16,150 --> 00:11:25,530
+مستقيم ما بين النقطة هاي ونقطة هاي والنقطة
+
+147
+00:11:25,530 --> 00:11:30,270
+هاي مباشرة ليش؟ لأن الخط المستقيم أبعد لكن لو
+
+148
+00:11:30,270 --> 00:11:32,710
+أنت قلت له والله أنا ممكن أتكلم عن خط مستقيم في
+
+149
+00:11:32,710 --> 00:11:37,310
+المنطقة high نسبة الخطأ أقل لكن في الأول مستحيل
+
+150
+00:11:37,310 --> 00:11:40,430
+يكون لكن واضح إن الـ trend تبعها non-linear
+
+151
+00:11:42,880 --> 00:11:47,180
+يعني أنا بدي أجرب وأحاول للفهم للـ data وعلاقة الـ
+
+152
+00:11:47,180 --> 00:11:50,420
+attributes اللي اشتغل عليها هو اللي بيحدد أنا فعلا
+
+153
+00:11:50,420 --> 00:11:54,380
+هأشتغل على linear ولا على non-linear طيب في الموضوع
+
+154
+00:11:54,380 --> 00:11:56,900
+الـ evaluation يا جماعة الخير في الموضوع الـ
+
+155
+00:11:56,900 --> 00:12:02,000
+evaluation أنا بدي في عندي prediction في عندي true
+
+156
+00:12:02,000 --> 00:12:07,980
+values هي لأن خلينا أهم metric لقياس الـ regression
+
+157
+00:12:07,980 --> 00:12:12,700
+هو الـ root mean square error والبعض يعتمد فقط على
+
+158
+00:12:12,700 --> 00:12:15,600
+الـ mean square error وليس فرق كتير لأنّي أريد
+
+159
+00:12:15,600 --> 00:12:19,020
+فرق وأزيل الجذر بعد ذلك لكن الـ root mean square
+
+160
+00:12:19,020 --> 00:12:22,540
+error ماهو الـ error اللي موجود عندي؟ الـ error هي
+
+161
+00:12:22,540 --> 00:12:27,450
+عبارة عن الـ actual value ناقص الـ Predicted Value
+
+162
+00:12:27,450 --> 00:12:30,610
+لأن أنا بتكلم على continuous بتكلم على continuous
+
+163
+00:12:30,610 --> 00:12:34,270
+value أنا عامل الـ prediction والـ actual value
+
+164
+00:12:34,270 --> 00:12:36,970
+لازم تكون continuous الفرق بينهم هو نسبة الخطأ
+
+165
+00:12:36,970 --> 00:12:40,070
+اللي موجود عندها لو بدي أجي للرسم يا جماعة الخير
+
+166
+00:12:40,070 --> 00:12:44,830
+هذه النقطة بتمثل الـ actual point النقطة الحقيقية
+
+167
+00:12:44,830 --> 00:12:50,490
+مصبوط؟ طيب والـ predicted value تبعها اللي هتكون
+
+168
+00:12:50,490 --> 00:12:55,890
+هنا اللي على الخط كذلك هنا، لاحظوا الـ distance
+
+169
+00:12:55,890 --> 00:12:59,870
+المسافة اللي هنا بحسب الـ Euclidean distance اللي
+
+170
+00:12:59,870 --> 00:13:03,490
+احنا شفناها لـ predicted value ناقص الـ true value
+
+171
+00:13:03,490 --> 00:13:10,210
+تربيع، مصبوط؟ هاي الـ Euclidean الآن لو أنا رحت
+
+172
+00:13:10,210 --> 00:13:16,150
+اجمعت كل المسافات هاي وجمعتها على عدد النقاط اللي
+
+173
+00:13:16,150 --> 00:13:21,190
+موجودة عندها أنا بكون حصلت على الـ mean square
+
+174
+00:13:21,190 --> 00:13:25,390
+error الـ mean square error بأخذها وبحطها تحت
+
+175
+00:13:25,390 --> 00:13:29,520
+الجذر اللي موجود عندها طبعا الـ Residual المقصود
+
+176
+00:13:29,520 --> 00:13:32,600
+فيه المسافة أو الـ Error الموجود بين العناصر اللي
+
+177
+00:13:32,600 --> 00:13:36,340
+موجودة عندك يعني بكل بساطة بأخذ الفروقات ما بين
+
+178
+00:13:36,340 --> 00:13:40,460
+
+223
+00:16:52,350 --> 00:16:56,330
+squared error حسب، احنا الآن هطبقها، الـ main square
+
+224
+00:16:56,330 --> 00:17:01,000
+errorاللي في الـ slide السابق، هنا أنا كنت بتكلم على
+
+225
+00:17:01,000 --> 00:17:05,080
+الـ root اللي هي الجذر التربيعي اللي موجود
+
+226
+00:17:05,080 --> 00:17:10,300
+عندي هنا، فممكن أنت تستدعي كذلك الـ print الـ mean
+
+227
+00:17:10,300 --> 00:17:14,440
+square error percent to F عشان بقى يجيب لي الـ two
+
+228
+00:17:14,440 --> 00:17:19,920
+digits بعد الفاصلة العشرية، الـ mean square error هي
+
+229
+00:17:19,920 --> 00:17:22,280
+الدالة اللي استدعيتها هنا، أو الـ metric اللي
+
+230
+00:17:22,280 --> 00:17:28,150
+استدعيته، وزودته بالـ y test و الـ y predicted، و
+
+231
+00:17:28,150 --> 00:17:33,310
+يديني الـ value اللي موجودة عندنا، وبهيك بنكون احنا
+
+232
+00:17:33,310 --> 00:17:40,430
+فعلياً انتهينا من موضوع الـ regression، شابتر ظريف و
+
+233
+00:17:40,430 --> 00:17:48,510
+خفيف نشتغل عليه، بتمنى يكون... بقدر أتوصل الفكرة
+
+234
+00:17:48,510 --> 00:17:53,690
+بشكل كويس، لكن في عندنا شغل آخر، اللي علاقة بالـ
+
+235
+00:17:53,690 --> 00:17:59,090
+assignment، لما أتكلم عن الـ assignment، أنا مش عارف
+
+236
+00:17:59,090 --> 00:18:03,730
+مش عامله hide، أتكلم بالـ assignment إنه جامعة الخير،
+
+237
+00:18:03,730 --> 00:18:09,790
+لازم احنا نشتغل و نطبق مع بعض، لازم لازم لازم الآن
+
+238
+00:18:09,790 --> 00:18:16,270
+إيش مطلوب منك؟ أنت في عندك data set، عندك data set، و
+
+239
+00:18:16,270 --> 00:18:22,560
+الـ data set تبعتك مخصصة للـ linear regression،
+
+240
+00:18:22,560 --> 00:18:25,840
+ريجريشن أو nonlinear regression، احنا لسه ما بنعرف
+
+241
+00:18:25,840 --> 00:18:29,800
+بدك تروح على الـ data set اللي موجود عندكم، و تفحص
+
+242
+00:18:29,800 --> 00:18:37,060
+تتعرف على الـ data set بشكل كويس، وبعد هيك تروح
+
+243
+00:18:37,060 --> 00:18:43,520
+تختار multiple attributes
+
+244
+00:18:45,410 --> 00:18:53,590
+تعمل regression
+
+245
+00:18:53,590 --> 00:18:55,610
+(repeated "تعمل" removed)
+
+246
+00:18:55,610 --> 00:18:55,650
+(repeated "تعمل" removed)
+
+247
+00:18:55,650 --> 00:18:55,770
+(repeated "تعمل" removed)
+
+248
+00:18:55,770 --> 00:18:55,830
+(repeated "تعمل" removed)
+
+249
+00:18:55,830 --> 00:19:06,590
+(repeated "تعمل" removed)
+
+250
+00:19:06,590 --> 00:19:09,450
+(removed extra "ت")
+
+251
+00:19:09,890 --> 00:19:13,130
+تقارن بين كل الحالات اللي موجودة، يعني بالتفصيل
+
+252
+00:19:13,130 --> 00:19:16,870
+بالآخر، بالتفصيل، بدك تروح تجرب linear regression،
+
+253
+00:19:16,870 --> 00:19:19,050
+simple linear regression، و multiple linear
+
+254
+00:19:19,050 --> 00:19:23,750
+regression، ماشي الحال على one attribute، وعلى two
+
+255
+00:19:23,750 --> 00:19:28,770
+attributes، الـ multiple اعتبرها two، والـ simple
+
+256
+00:19:28,770 --> 00:19:34,830
+الاعتبرها one، لكن الـ multiple تكون two attributes،
+
+257
+00:19:34,830 --> 00:19:38,680
+at least، بتطبق عليها Linear، وتطبق عليها Unlinear،
+
+258
+00:19:38,680 --> 00:19:43,680
+طبعاً المفروض هذا يتسلم يوم اثنين عشر اثنين، لكن بما أن
+
+259
+00:19:43,680 --> 00:19:48,700
+التواريخ كلها اتغيرت، فبكون في عندنا تاريخ تاني
+
+260
+00:19:48,700 --> 00:19:54,080
+للتسليم، وحوضح أكتر إن شاء الله تعالى، إن خلال الـ
+
+261
+00:19:54,080 --> 00:19:57,900
+model، بتمنى لكم التوفيق، وأتمنى يكون الموضوع الـ
+
+262
+00:19:57,900 --> 00:20:00,660
+regression واضح بالنسبة لكم، وإذا في أي استفسار
+
+263
+00:20:00,660 --> 00:20:04,320
+الـ model من خلال الـ model أو الـ email، أو جلسات
+
+264
+00:20:04,320 --> 00:20:08,180
+النقاش اللي هنعملها لاحقاً، السلام عليكم ورحمة الله
+
+265
+00:20:08,180 --> 00:20:09,220
+وبركاته
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..36bcce9ea42d9e606969db86bd24e35874589ee6
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_postprocess.srt
@@ -0,0 +1,1060 @@
+1
+00:00:00,000 --> 00:00:02,940
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:02,940 --> 00:00:07,260
+أهلا وسهلا فيكم بالمحاضرة الثانية في ال regression
+
+3
+00:00:07,260 --> 00:00:12,580
+وهنا هنتكلم عن ال multiple regression كنا في
+
+4
+00:00:12,580 --> 00:00:16,400
+المحاضرة الماضية اتكلمنا عن ال simple linear
+
+5
+00:00:16,400 --> 00:00:19,440
+regression وقلنا simple linear regression معناته
+
+6
+00:00:19,440 --> 00:00:23,960
+انا عندي معادلة خط مستقيم واحد فقط اللي هي Y عفوا
+
+7
+00:00:23,960 --> 00:00:25,400
+خليني ادهر ال pointer
+
+8
+00:00:37,800 --> 00:00:44,480
+قلنا في معادلة الخط المستقيم أن الـ Y تساوي الـ M
+
+9
+00:00:44,480 --> 00:00:59,140
+X زائد الـ B وقلنا أن الـ M عندها تساوي
+
+10
+00:00:59,140 --> 00:01:14,070
+مجميع X I ناقص وتوسط Xمضروبة في Y I ناقص متوسط الـ
+
+11
+00:01:14,070 --> 00:01:19,330
+Y على مجموع
+
+12
+00:01:19,330 --> 00:01:30,310
+X I ناقص متوسط الـ X كل تربيع والـ B
+
+13
+00:01:33,710 --> 00:01:39,590
+متوسط Y ناقص M
+
+14
+00:01:42,630 --> 00:01:47,090
+الـ X فشوفنا مع بعض كيف احنا وصلنا للمعادلة او
+
+15
+00:01:47,090 --> 00:01:49,950
+اشتغلنا مع بعض وشوفنا ال simple linear regression
+
+16
+00:01:49,950 --> 00:01:52,590
+اليوم ان شاء الله تعالى هنتكلم على ال multiple زي
+
+17
+00:01:52,590 --> 00:01:55,470
+ما وعدناكم هنتكلم على ال multiple regression وما
+
+18
+00:01:55,470 --> 00:01:58,210
+زلت بتكلم على ال simple linear regression ال
+
+19
+00:01:58,210 --> 00:02:01,450
+regression لكنه بتكلم على المultiple الان لما انا
+
+20
+00:02:01,450 --> 00:02:03,510
+بتكلم على ال multiple regression معناته انا بدى
+
+21
+00:02:03,510 --> 00:02:07,270
+اتنبأ بالعلاقة زي ما قلنا سابقا بين ال multiple
+
+22
+00:02:07,270 --> 00:02:11,010
+attributes او multiple variables في عندي more than
+
+23
+00:02:12,010 --> 00:02:14,770
+one independent attribute وقلنا من الأمثلة
+
+24
+00:02:14,770 --> 00:02:19,510
+الموجودة عليها ال income و ال education أو تأثير
+
+25
+00:02:19,510 --> 00:02:22,830
+ال income و ال education و ال living area على
+
+26
+00:02:22,830 --> 00:02:26,730
+تأثير
+
+27
+00:02:26,730 --> 00:02:31,610
+قيمة الدخل و التعليم على المنطقة اللي يعيش فيها
+
+28
+00:02:31,610 --> 00:02:35,290
+الشخص اللي موجود عندها طبعا لما بتكلم على زيادة
+
+29
+00:02:35,290 --> 00:02:38,410
+عدد ال variables أو عدد ال independent variables
+
+30
+00:02:39,300 --> 00:02:43,460
+معناته أنا بزيد من تعقيد عملية ال prediction لأنه
+
+31
+00:02:43,460 --> 00:02:47,460
+انا فعليا بدي اتكلم على .. بدي اوجد علاقة ما بين
+
+32
+00:02:47,460 --> 00:02:50,660
+كل ال attributes هذه مجتمعها طبعا يا جماعة الخير
+
+33
+00:02:50,660 --> 00:02:55,220
+عشان بس قبل ما انا اتكلم شغلة ليش احنا بالتحديد
+
+34
+00:02:55,220 --> 00:03:00,660
+قولنا linear regression معادلة خطية لأنه الرتبة
+
+35
+00:03:00,660 --> 00:03:05,360
+تبعتها هي لاحظوا يا جماعة الخير انا بتكلم
+
+36
+00:03:08,290 --> 00:03:11,430
+لما كنت بتكلم على الـ simple regression عفوا بالـ
+
+37
+00:03:11,430 --> 00:03:15,170
+simple regression عندي x و y ففي الآخر المعادلة
+
+38
+00:03:15,170 --> 00:03:19,930
+تبعت سواء كانت خط مستقيم أو polynomial بغض النظر
+
+39
+00:03:19,930 --> 00:03:26,930
+عن طبيعتها أنا في الآخر بتكلم في العلاقة في الـ 2D
+
+40
+00:03:26,930 --> 00:03:31,230
+ليش؟ لأن في عندي two attributes تمام طب لو كانوا
+
+41
+00:03:31,230 --> 00:03:33,650
+في عندي three attributes two independent و one
+
+42
+00:03:33,650 --> 00:03:37,550
+dependent معناته بتكلم على 3D طب لو كانوا four
+
+43
+00:03:38,380 --> 00:03:43,020
+طبعا، لاحظوا معايا في الـ linear .. linear هنصف
+
+44
+00:03:43,020 --> 00:03:49,460
+بقول خط طيب، هل ممكن يكون في عندي linear multiple
+
+45
+00:03:49,460 --> 00:03:53,260
+attributes؟ أه ممكن طبعا، تعالي خلينا نتخيل
+
+46
+00:03:53,260 --> 00:03:55,920
+المعادلة تبعتي بالشكل هذا ال multiple regression
+
+47
+00:03:55,920 --> 00:03:58,340
+لما يكون في عندك K independent attributes، هيوم
+
+48
+00:03:58,340 --> 00:04:02,660
+إيش هكونها؟ طبعا، بتكلم عن linear regression لأن
+
+49
+00:04:02,660 --> 00:04:06,560
+أعلى قيمة أو أعلى أصلة X بتكون واحد، هاي المفهوم
+
+50
+00:04:06,560 --> 00:04:13,730
+ال linearالان الـ predicted y بيتساوي ال intercept
+
+51
+00:04:13,730 --> 00:04:22,970
+B0 زائد ال mail M1 في X1 زائد M2 في X2 زائد زائد
+
+52
+00:04:22,970 --> 00:04:29,010
+Mk أو Bk في Xk ولمّا أنا بدي أجي أرسم معادلة بشكل
+
+53
+00:04:29,010 --> 00:04:32,290
+هذا أبسط المعادلات اللي ممكن أستوعبها أنا في الرسم
+
+54
+00:04:32,290 --> 00:04:35,950
+بعد هيكلما يكون لدي two independent variables ها
+
+55
+00:04:35,950 --> 00:04:41,050
+هي X1 و X2 two independent variables مع ال
+
+56
+00:04:41,050 --> 00:04:45,050
+dependent variables صاروا three attributes عشان
+
+57
+00:04:45,050 --> 00:04:48,830
+اقدر امثلهم انا او اتخيلهم صح بدي اتخيل ال 3D
+
+58
+00:04:48,830 --> 00:04:52,670
+space ممتاز طيب المعادلة الخطية في ال 3D space
+
+59
+00:04:52,670 --> 00:04:57,050
+معناته هي بتتكلم على surface سطح والسطح هذا
+
+60
+00:04:57,050 --> 00:05:03,840
+الومنين ميل هيكونمع الـ X و ميلم بيكون مع الـ X
+
+61
+00:05:03,840 --> 00:05:06,000
+التاني أو المحور التاني بما أن أنا في عيني الـ 2X
+
+62
+00:05:06,000 --> 00:05:09,680
+X1 و X2 و الـ Y ثابتة لأن الـ Y هي الـ predicted
+
+63
+00:05:09,680 --> 00:05:13,860
+value و أنا في عندي X1 و X2 بما أن في عندي ميلم مع
+
+64
+00:05:13,860 --> 00:05:20,400
+X1 و X2 وبناءً عليه أنا بتتكلم على معادلة خطية
+
+65
+00:05:20,400 --> 00:05:26,260
+لكنها في الـ 3D تمام، الآن لو أنا أفضل أو أعمل
+
+66
+00:05:26,260 --> 00:05:31,140
+predictionبالـ python بتمنى هذه الجزئية تكون سهلة
+
+67
+00:05:31,140 --> 00:05:34,320
+يعني مافيش فيها كلام انت بدك تستوعب طب لو كان في
+
+68
+00:05:34,320 --> 00:05:36,440
+عندي انا four attribute three independent
+
+69
+00:05:36,440 --> 00:05:40,180
+attribute جماعة الخير three independent attribute
+
+70
+00:05:40,180 --> 00:05:44,540
+و one independent attribute يعني صاروا اربعة ايش
+
+71
+00:05:44,540 --> 00:05:48,200
+الشكل تبعي اللي احب اتخيله في ال space في ال 4D
+
+72
+00:05:48,200 --> 00:05:51,900
+بسيط بتكلم على space مكعب ممكن تكون هذا ال space
+
+73
+00:05:51,900 --> 00:05:57,480
+cubeالمفروض عندما أزيد عدد الـ Attributes سأزيد
+
+74
+00:05:57,480 --> 00:06:01,880
+مخيلتي لكي أتكلم عليها لكن بفضل الله تبارك وتعالى
+
+75
+00:06:01,880 --> 00:06:06,220
+نحن بعد الـ 3D بنبطل نستوعب أيش اللي ممكن أصير
+
+76
+00:06:06,220 --> 00:06:09,520
+الآن بتعالي نشوف بالـ Python بدي أشغل على نفس
+
+77
+00:06:09,520 --> 00:06:12,780
+الطريقة أو نفس الفكرة السابقة استخدمت الـ NumPy
+
+78
+00:06:12,780 --> 00:06:17,440
+وروح وقلت له أنا في عندي Array لكن كل رو في الـ
+
+79
+00:06:17,440 --> 00:06:21,840
+Array بيحتوي على two attributes أو two variables
+
+80
+00:06:23,550 --> 00:06:27,310
+خمسة و ثلاثة يعني ال attribute X1 خمسة في الصف
+
+81
+00:06:27,310 --> 00:06:33,670
+الأول X2 ثلاثة X1 سبعة X2 خمسة و هكذا و ال Y ده هي
+
+82
+00:06:33,670 --> 00:06:37,670
+ال value تبعتهم لاحظوا ماتغيرش معايا ولا حاجة انا
+
+83
+00:06:37,670 --> 00:06:43,670
+غير انه غيرت بس ال X ال attributes تبعتي صارت في
+
+84
+00:06:43,670 --> 00:06:47,770
+ال 2D dimension 2D array و لاحظوا ماكنت لشري shape
+
+85
+00:06:47,770 --> 00:06:53,060
+لأنه خلاص ليش لأن انا كنت بده حلقت في صفوففي صفوف
+
+86
+00:06:53,060 --> 00:06:56,380
+وانتهى الأمر هنا مافيش داعي ان اعمله Reshape الـ y
+
+87
+00:06:56,380 --> 00:07:02,340
+.unarray وهي ال target attribute تبعتي نفس الكلام
+
+88
+00:07:02,340 --> 00:07:06,020
+from ASCII learn.linear model import linear
+
+89
+00:07:06,020 --> 00:07:09,520
+regression بنيت الموديل وعملته له fit فهنا راح
+
+90
+00:07:09,520 --> 00:07:14,850
+تعرف او بنى الموديل وحدد ال interceptأحدد قيمة الـ
+
+91
+00:07:14,850 --> 00:07:18,810
+slope للـ attribute الأول والـ attribute التاني أو
+
+92
+00:07:18,810 --> 00:07:20,810
+الـ coefficient للـ attribute الأول والـ attribute
+
+93
+00:07:20,810 --> 00:07:24,230
+التاني لو أنا طبعت بنفس القالية السابقة قلت له ال
+
+94
+00:07:24,230 --> 00:07:28,390
+model.coefficient و ال model.intercept طبع ليهم،
+
+95
+00:07:28,390 --> 00:07:34,170
+لاحظوا أنه طبع ليها ال model.coefficient جاب ليهم
+
+96
+00:07:34,170 --> 00:07:38,430
+على إنهم مصفوفة لأ و فيها two variablesأو two
+
+97
+00:07:38,430 --> 00:07:42,930
+values ليش؟ لأن أنا فعليًا عندي two independent
+
+98
+00:07:42,930 --> 00:07:47,550
+attributes X1 و X2 فانا روحت بس جملتها أكتر و
+
+99
+00:07:47,550 --> 00:07:50,190
+فصلتهم و طبعتهم بالشكل هذا قلت له model
+
+100
+00:07:50,190 --> 00:07:55,410
+.coefficient 0 عشان أجيب القيمة الأولى ضربتها في
+
+101
+00:07:55,410 --> 00:07:59,670
+X1 as a text زائد عشان أطبع معادلة الخط ال .. أو
+
+102
+00:07:59,670 --> 00:08:05,630
+بلاش ال .. ال linear space اللي موجود عندي هذا
+
+103
+00:08:09,310 --> 00:08:12,310
+تمام وبالتالي ما اتغيرش عندى في الشغل ولا حاجة انه
+
+104
+00:08:12,310 --> 00:08:14,730
+غير انه data set طب لو انا بعد data set بعد شو بدأ
+
+105
+00:08:14,730 --> 00:08:18,250
+اساوي بدل ما كنت انا تصيت او اخدت عمود واحد الآن
+
+106
+00:08:18,250 --> 00:08:21,630
+بدأ اخد عمودين او تلاتة او اربع عشان ال linear
+
+107
+00:08:21,630 --> 00:08:25,290
+regression اللي مولود خلينا ننتقل لل nonlinear مش
+
+108
+00:08:25,290 --> 00:08:28,750
+ضايل كتير عندنا في ال slides nonlinear regression
+
+109
+00:08:28,750 --> 00:08:33,770
+nonlinear معناته انا بتكلم على nonlinear line انا
+
+110
+00:08:33,770 --> 00:08:38,460
+في عندي خط لكن الخط هذا غير مستقيمأو ممكن يكون في
+
+111
+00:08:38,460 --> 00:08:41,880
+عندي surface ال surface هذا ممكن يكون على شكل
+
+112
+00:08:41,880 --> 00:08:45,780
+دائرة
+
+113
+00:08:45,780 --> 00:08:52,280
+مائلة أو slow أو ellipse بالشكل هذا فانا الآن بقلت
+
+114
+00:08:52,280 --> 00:09:00,700
+تتكلم على خط مستقيم الآن لما ال data مابتظهرش عندي
+
+115
+00:09:00,700 --> 00:09:01,980
+linear dependency
+
+116
+00:09:08,540 --> 00:09:12,100
+معناته انا ممكن ادور على accurate او احصل على
+
+117
+00:09:12,100 --> 00:09:14,460
+accurate model لو في حالة ان كان في عندي non
+
+118
+00:09:14,460 --> 00:09:16,700
+linear regression يعني بين قرصين الجامعة التخيار
+
+119
+00:09:16,700 --> 00:09:21,120
+انا ممكن اجرب و اجرب ال linear و اجرب ال non
+
+120
+00:09:21,120 --> 00:09:24,660
+linear و اشوف ايش المعادلة الأفضل example لو انا
+
+121
+00:09:24,660 --> 00:09:29,940
+قلتلك هى في عندى y تساوي w0 ال intercept لو انا
+
+122
+00:09:29,940 --> 00:09:33,820
+بدى اتكلم على معادل خط اللى هى نقطة التقاطع مع ال
+
+123
+00:09:33,820 --> 00:09:40,050
+yيوجد الـ Y و الـ W الـ coefficient تبع المتغير
+
+124
+00:09:40,050 --> 00:09:46,310
+الأول العلاقة الخطية الـ Y و W الـ W الـ Y و W الـ
+
+125
+00:09:46,310 --> 00:09:49,350
+W الـ Y و W الـ W الـ Y و W الـ Y و W الـ Y و W
+
+126
+00:09:49,350 --> 00:09:49,630
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+127
+00:09:49,630 --> 00:09:50,770
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+128
+00:09:50,770 --> 00:09:56,070
+الـ Y و W الـ Y و W الـ Y و W الـ Y و W الـ Y و W
+
+129
+00:09:56,070 --> 00:10:02,610
+الـ Y و W الـالـ equation تبعتي بتاخد different
+
+130
+00:10:02,610 --> 00:10:06,910
+forms أشكال مختلفة زي ما شوفنا في ملف ال Excel و
+
+131
+00:10:06,910 --> 00:10:11,670
+هنرجع لها على السريع في ملف ال Excel لما قلت له ال
+
+132
+00:10:11,670 --> 00:10:15,970
+line trend أو ال trend line كان فيه عنده
+
+133
+00:10:15,970 --> 00:10:18,450
+exponential عنده linear عنده logarithmic عنده
+
+134
+00:10:18,450 --> 00:10:22,330
+polynomial عنده power إلى آخره الآن أنا فيه عنده
+
+135
+00:10:22,330 --> 00:10:29,910
+ال exponential والعلاقة ما بين ال y و ال xإن الـ X
+
+136
+00:10:29,910 --> 00:10:35,370
+موجودة كأُص للـ exponential value E أُص B ضرب X و
+
+137
+00:10:35,370 --> 00:10:38,510
+الـ B هي الـ intercept اللي احنا بتكلم عليها يعني
+
+138
+00:10:38,510 --> 00:10:45,430
+ال coefficient تبعت ال X ال power value برضه
+
+139
+00:10:45,430 --> 00:10:50,150
+أنا ما زلت بتتكلم هنا هذه
+
+140
+00:10:50,150 --> 00:10:53,830
+المعادلة اللي موجودة عندي هنا ال growth saturation
+
+141
+00:10:53,830 --> 00:10:58,970
+model تبعتيو في عندى ال polynomial اللى احنا
+
+142
+00:10:58,970 --> 00:11:05,790
+شوفناها قبل لحظات polynomial هذا الرسمة لو كان
+
+143
+00:11:05,790 --> 00:11:08,230
+عندى بيانات و روحت رسمتها و قلت لها ارسملي ال
+
+144
+00:11:08,230 --> 00:11:13,010
+trend اللى موجود ارسملي المعادلة اللى موجودة مش
+
+145
+00:11:13,010 --> 00:11:16,150
+هكون في عندي مشكلة لان هذه مستحيل انا الاقي خط
+
+146
+00:11:16,150 --> 00:11:25,530
+مستقيم ما بين النقطة هاي نقفون النقطة هاي و النقطة
+
+147
+00:11:25,530 --> 00:11:30,270
+هاي مباشرةلحظه ليش؟ لأن الخط المستقيم أبعد لكن لو
+
+148
+00:11:30,270 --> 00:11:32,710
+انت قلتله والله انا ممكن اتكلم عن خط مستقيم في
+
+149
+00:11:32,710 --> 00:11:37,310
+المنطقة high نسبة الخطأ أقل لكن في الأول مستحيل
+
+150
+00:11:37,310 --> 00:11:40,430
+يكون لكن واضح ان ال trend تبعها non-linear
+
+151
+00:11:42,880 --> 00:11:47,180
+يعني انا بدي اجرب و احاول للفهم لل data و علاقة ال
+
+152
+00:11:47,180 --> 00:11:50,420
+attributes اللي اشتغل عليها هو اللي بيحدد انا فعلا
+
+153
+00:11:50,420 --> 00:11:54,380
+هشغل على linear ولا على non-linear طيب في الموضوع
+
+154
+00:11:54,380 --> 00:11:56,900
+ال evaluation يا جماعة الخير في الموضوع ال
+
+155
+00:11:56,900 --> 00:12:02,000
+evaluation انا بدي في عندي prediction في عندي true
+
+156
+00:12:02,000 --> 00:12:07,980
+values هي لأن خليناأهم metric لقياس ال regression
+
+157
+00:12:07,980 --> 00:12:12,700
+هو الـ root mean square error والبعض يعتمد فقط على
+
+158
+00:12:12,700 --> 00:12:15,600
+الـ mean square error وليس فارق كتير لأنني أريد
+
+159
+00:12:15,600 --> 00:12:19,020
+فرق و أزيل الجذر بعد ذلك لكن الـ root mean square
+
+160
+00:12:19,020 --> 00:12:22,540
+error ماهو ال error اللي موجود عندي؟ ال error هي
+
+161
+00:12:22,540 --> 00:12:27,450
+عبارة عن ال actual valueنقص الـ Predicted Value
+
+162
+00:12:27,450 --> 00:12:30,610
+لان انا بتكلم على continuous بتكلم على continuous
+
+163
+00:12:30,610 --> 00:12:34,270
+value انا عمال ال prediction و ال actual value
+
+164
+00:12:34,270 --> 00:12:36,970
+لازم تكون continuous الفرق بينهم هو نسبة الخطأ
+
+165
+00:12:36,970 --> 00:12:40,070
+اللي موجود عندها لو بدي اجي للرسم يا جماعة الخير
+
+166
+00:12:40,070 --> 00:12:44,830
+هذه النقطة بتمثل ال actual point النقطة الحقيقية
+
+167
+00:12:44,830 --> 00:12:50,490
+مصبوط؟ طيب و ال predicted value تبعتها اللي هتكون
+
+168
+00:12:50,490 --> 00:12:55,890
+هنا اللي على الخطكذلك هنا، لاحظوا الـ distance
+
+169
+00:12:55,890 --> 00:12:59,870
+المسافة اللي هنا بحسب الـ Euclidean distance اللي
+
+170
+00:12:59,870 --> 00:13:03,490
+احنا شوفناها لـ predicted value ناقص ل true value
+
+171
+00:13:03,490 --> 00:13:10,210
+تربيه، بصبوط؟ هاي الـ Euclidean الآن لو انا روح
+
+172
+00:13:10,210 --> 00:13:16,150
+اتجمعت كل المسافات هايوجسمتها على عدد النقاط اللي
+
+173
+00:13:16,150 --> 00:13:21,190
+موجودة عندها أنا بكون حصلت على الـ main square
+
+174
+00:13:21,190 --> 00:13:25,390
+error الـ main square error rotated بحطهم تحت
+
+175
+00:13:25,390 --> 00:13:29,520
+الجذر اللي موجود عندهاطبعا الـ Residual المقصود
+
+176
+00:13:29,520 --> 00:13:32,600
+فيها المسافة أو الـ Error الموجود بين العناصر اللي
+
+177
+00:13:32,600 --> 00:13:36,340
+موجودة عندك يعني بكل بساطة باخد الفروقات ما بين
+
+178
+00:13:36,340 --> 00:13:40,460
+الـ Predicted Value و الـ Actual Value بربعهم بجمع
+
+179
+00:13:40,460 --> 00:13:43,820
+الفروقات هذه بعد مربعات الفروقات و بجسمها على عدد
+
+180
+00:13:43,820 --> 00:13:47,860
+ال test value أو ال test set اللي موجودة عندها
+
+181
+00:13:47,860 --> 00:13:53,890
+طبعا لما تكونالفرق بينهم Zero معناته أنا فعليًا
+
+182
+00:13:53,890 --> 00:13:57,770
+أوصلت Actually للقيمة الحقيقية اللي موجودة عندهان
+
+183
+00:13:57,770 --> 00:14:01,490
+طبعًا الآن في عندي ال observation القيمة الحقيقية
+
+184
+00:14:01,490 --> 00:14:06,050
+طبعًا هو عمله بغير للرسم high كل ال X أو النقطة
+
+185
+00:14:06,050 --> 00:14:08,610
+السودة هي الحقيقية والخط اللي وقع الخط الأحمر
+
+186
+00:14:08,610 --> 00:14:10,950
+الكلام اللي أنا شرحته سابقًا هي فعليًا ال
+
+187
+00:14:10,950 --> 00:14:15,590
+predicted value اللي موجودة عندها وبالتالي مع كل
+
+188
+00:14:15,590 --> 00:14:18,870
+observation أنا فعليًا عندي ال Y الحقيقية ال
+
+189
+00:14:18,870 --> 00:14:23,780
+actual تساوي ال predictedزائد قيمة الخطأ اللي
+
+190
+00:14:23,780 --> 00:14:33,240
+موجود بينهم تمام okay معناته انا sum of error لو
+
+191
+00:14:33,240 --> 00:14:36,540
+انا بدى اجمع قيمة الخطأ فقط بجمعهم لكن احنا بنشتغل
+
+192
+00:14:36,540 --> 00:14:40,060
+على squared error تعالى نشوف ال implementation
+
+193
+00:14:40,060 --> 00:14:43,840
+ونشوف فعليا شغل مع data base موجودة في عندي data
+
+194
+00:14:43,840 --> 00:14:48,200
+base موجودة في ال .. ال .. الascular ال diabetes
+
+195
+00:14:48,200 --> 00:14:52,320
+اللي هي علاقة بمرض السكريfrom ascii learn import
+
+196
+00:14:52,320 --> 00:14:55,240
+dataset linear model اعملت import لهدول الشغلتين
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+197
+00:14:55,240 --> 00:14:59,140
+مع بعض انا ال diabetes تساوي diabetes dot load
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+198
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+diabetes اعملت load لل dataset و اذا بقيت اطباعها
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+199
+00:15:02,420 --> 00:15:06,920
+مش مشكلة روحت اعملت import لل non-bi طبعا انا كنت
+
+200
+00:15:06,920 --> 00:15:09,880
+بدي اعمل cut عشان اخد ال X لحالة و ممكن اخده طريقة
+
+201
+00:15:09,880 --> 00:15:14,300
+تانية بعيدا عن ال non-bi مش هستخدمها الآن X تساوي
+
+202
+00:15:14,300 --> 00:15:15,420
+ال diabetes dot
+
+203
+00:15:18,860 --> 00:15:24,920
+data 2.3 وكان شغالها على ال first attribute فقط اه
+
+204
+00:15:24,920 --> 00:15:28,120
+احنا بنشغل على ال linear نحصها على ال simple
+
+205
+00:15:28,120 --> 00:15:34,240
+linear فأخدت ال first attribute اللي هو ترقيه هيه
+
+206
+00:15:34,240 --> 00:15:38,020
+المحصور ما بين ال index 2 و index 3 خدت one
+
+207
+00:15:38,020 --> 00:15:43,250
+attribute فقطالان روحت في ال forum ال scale model
+
+208
+00:15:43,250 --> 00:15:47,910
+selection روحت ال data set عملت لها split صار في
+
+209
+00:15:47,910 --> 00:15:52,330
+عند X train او X test و Y train و Y test حسب ما
+
+210
+00:15:52,330 --> 00:15:55,390
+بنعرف و نسبة 30% لل test set ال data set اللي
+
+211
+00:15:55,390 --> 00:15:59,870
+موجود عندى يعني فيها حوالي 5000 record او اكتر
+
+212
+00:15:59,870 --> 00:16:05,040
+شوية modelلينيار موديل اللي انا عملته لها
+
+213
+00:16:05,040 --> 00:16:08,280
+important فوق لينيار regression اعمل fit حصلت على
+
+214
+00:16:08,280 --> 00:16:13,240
+ال coefficient اللي موجود عندهان روحت و قلت له ال
+
+215
+00:16:13,240 --> 00:16:16,860
+y predictه ساوي الموديل ده ت predict و زودته بال X
+
+216
+00:16:16,860 --> 00:16:21,920
+test اللي موجود عندهان قلت له هيه جيب لي ال label
+
+217
+00:16:21,920 --> 00:16:25,580
+هدول طبعا ال label ال predicted label ال actual
+
+218
+00:16:25,580 --> 00:16:30,140
+label هيه موجود عندهان تمام فانا روحت بعد هيه قلت
+
+219
+00:16:30,140 --> 00:16:35,830
+له اطبع لل interceptوالـ coefficient عشان اتأكد او
+
+220
+00:16:35,830 --> 00:16:41,950
+افحص المعادلة الخطية اللى موجودة عندى وفي الآخر
+
+221
+00:16:41,950 --> 00:16:46,790
+from asclean dot matrix import ال main square
+
+222
+00:16:46,790 --> 00:16:52,350
+error ال main square error او ال rooted main
+
+223
+00:16:52,350 --> 00:16:56,330
+squared error حسب احنا الآن هطبقها ال main square
+
+224
+00:16:56,330 --> 00:17:01,000
+errorاللي في ال slide السابق هنا أنا كنت بتكلم على
+
+225
+00:17:01,000 --> 00:17:05,080
+ال route route اللي هي الجدر الترديعي اللي موجود
+
+226
+00:17:05,080 --> 00:17:10,300
+عندي هنا فممكن انت تستدعي كذلك ال print ال mean
+
+227
+00:17:10,300 --> 00:17:14,440
+square error percent to F عشان بقى جيبلي ال two
+
+228
+00:17:14,440 --> 00:17:19,920
+digits بعد الفاصلة العشرية ال mean square error هي
+
+229
+00:17:19,920 --> 00:17:22,280
+الدالة اللي استدعيتها هنا او ال metric اللي
+
+230
+00:17:22,280 --> 00:17:28,150
+استدعيته وزودته بالy test و ال y predicted و
+
+231
+00:17:28,150 --> 00:17:33,310
+يدّيني ال value اللي موجودة عندنا وبهيك بنكون احنا
+
+232
+00:17:33,310 --> 00:17:40,430
+فعليا انتهينا من موضوع ال regression شبتر زريف و
+
+233
+00:17:40,430 --> 00:17:48,510
+خفيف نشتغل عليه بتمنى يكون .. بقدر توصل الفكرة
+
+234
+00:17:48,510 --> 00:17:53,690
+بشكل كويس بل في عندنا شغل اخرى اللي علاقة بال
+
+235
+00:17:53,690 --> 00:17:59,090
+assignmentلما أتكلم عن ال assignment أنا مش عارف
+
+236
+00:17:59,090 --> 00:18:03,730
+مش عامله hide اتكلم بال assignment انه جامعة الخير
+
+237
+00:18:03,730 --> 00:18:09,790
+لازم احنا نشتغل و نطبق مع بعض لازم لازم لازم الان
+
+238
+00:18:09,790 --> 00:18:16,270
+ايش مطلوب منك انت في عندك data set عندك data set و
+
+239
+00:18:16,270 --> 00:18:22,560
+ال data set تبعتك مخصصة لل regressionلينيار
+
+240
+00:18:22,560 --> 00:18:25,840
+ريجريشن او نون لينيار ريجريشن احنا لسه عما بتعرف
+
+241
+00:18:25,840 --> 00:18:29,800
+بدك تروح على ال data set اللى موجود عندكوا و تفحص
+
+242
+00:18:29,800 --> 00:18:37,060
+تتعرف على ال data set اللى بشكل كويس وبعد هيك تروح
+
+243
+00:18:37,060 --> 00:18:43,520
+تختار multiple multiple attribute
+
+244
+00:18:45,410 --> 00:18:53,590
+تعمل تعمل تعمل تعمل regression تعمل تعمل تعمل تعمل
+
+245
+00:18:53,590 --> 00:18:55,610
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+246
+00:18:55,610 --> 00:18:55,650
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+247
+00:18:55,650 --> 00:18:55,770
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+248
+00:18:55,770 --> 00:18:55,830
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+249
+00:18:55,830 --> 00:19:06,590
+تعمل تعمل تعمل تعمل تعمل تعمل
+
+250
+00:19:06,590 --> 00:19:09,450
+ت
+
+251
+00:19:09,890 --> 00:19:13,130
+تقارن بين كل الحالات اللي موجودة يعني بالتفصيل
+
+252
+00:19:13,130 --> 00:19:16,870
+بالآخر بالتفصيل بدك تروح تجرب linear regression
+
+253
+00:19:16,870 --> 00:19:19,050
+simple linear regression و multiple linear
+
+254
+00:19:19,050 --> 00:19:23,750
+regression ماشي الحال على one attribute وعلى two
+
+255
+00:19:23,750 --> 00:19:28,770
+attributes ال multiple اعتبرها two والsimple
+
+256
+00:19:28,770 --> 00:19:34,830
+الاعتبرها one لكن ال multiple تكون two attributes
+
+257
+00:19:34,830 --> 00:19:38,680
+at leastبتطبق عليها Linear وتطبق عليها Unlinear
+
+258
+00:19:38,680 --> 00:19:43,680
+طبعا المفروض هذا يتسلم يوم اتناش اتنين لكن بما ان
+
+259
+00:19:43,680 --> 00:19:48,700
+التواريخ كلها تشجلبت فهيكون في عناياش التبتيب تاني
+
+260
+00:19:48,700 --> 00:19:54,080
+للتسليم وحوضح اكتر ان شاء الله تعالى ان خلال ال
+
+261
+00:19:54,080 --> 00:19:57,900
+modelبتمنى لكم التوفيق واتمنى يكون الموضوع ال
+
+262
+00:19:57,900 --> 00:20:00,660
+regression واضح بالنسبة لكم وإذا في أي استفسار
+
+263
+00:20:00,660 --> 00:20:04,320
+الموديل من خلال الموديل أو ال email أو جلسات
+
+264
+00:20:04,320 --> 00:20:08,180
+النقاش اللي هنعملها لاحقا السلام عليكم ورحمة الله
+
+265
+00:20:08,180 --> 00:20:09,220
+وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..0de906477086136096c54a6c60c9996913a74027
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/S8_leI0rRZ0_raw.json
@@ -0,0 +1 @@
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"probability": 0.7734375}, {"start": 396.41, "end": 396.91, "word": " حاجة", "probability": 0.9944661458333334}, {"start": 396.91, "end": 397.67, "word": " انا", "probability": 0.6885986328125}, {"start": 397.67, "end": 399.11, "word": " غير", "probability": 0.983642578125}, {"start": 399.11, "end": 399.53, "word": " انه", "probability": 0.92236328125}, {"start": 399.53, "end": 400.07, "word": " غيرت", "probability": 0.9514973958333334}, {"start": 400.07, "end": 400.45, "word": " بس", "probability": 0.96533203125}, {"start": 400.45, "end": 400.71, "word": " ال", "probability": 0.9638671875}, {"start": 400.71, "end": 401.13, "word": " X", "probability": 0.9755859375}, {"start": 401.13, "end": 401.67, "word": " ال", "probability": 0.93212890625}, {"start": 401.67, "end": 402.13, "word": " attributes", "probability": 0.89111328125}, {"start": 402.13, "end": 402.61, "word": " تبعتي", "probability": 0.8115234375}, {"start": 402.61, "end": 403.13, "word": " صارت", "probability": 0.9635416666666666}, {"start": 403.13, "end": 403.67, "word": " في", "probability": 0.88232421875}, {"start": 403.67, "end": 403.79, "word": " ال", "probability": 0.9111328125}, {"start": 403.79, "end": 404.07, "word": " 2D", "probability": 0.6893310546875}, {"start": 404.07, "end": 404.61, "word": " dimension", "probability": 0.90771484375}, {"start": 404.61, "end": 405.37, "word": " 2D", "probability": 0.754638671875}, {"start": 405.37, "end": 405.71, "word": " array", "probability": 0.87353515625}, {"start": 405.71, "end": 406.65, "word": " و", "probability": 0.1949462890625}, {"start": 406.65, "end": 406.89, "word": " لاحظوا", "probability": 0.97119140625}, {"start": 406.89, "end": 407.11, "word": " ماكنت", "probability": 0.6918131510416666}, {"start": 407.11, "end": 407.43, "word": " لشري", "probability": 0.4375813802083333}, {"start": 407.43, "end": 407.77, "word": " shape", "probability": 0.291748046875}, {"start": 407.77, "end": 408.85, "word": " لأنه", "probability": 0.7711588541666666}, {"start": 408.85, "end": 409.23, "word": " خلاص", "probability": 0.9930013020833334}, {"start": 409.23, "end": 410.17, "word": " ليش", "probability": 0.815185546875}, {"start": 410.17, "end": 410.27, "word": " لأن", "probability": 0.5703125}, {"start": 410.27, "end": 410.39, "word": " انا", "probability": 0.7137451171875}, {"start": 410.39, "end": 410.57, "word": " كنت", "probability": 0.96923828125}, {"start": 410.57, "end": 410.79, "word": " بده", "probability": 0.4420166015625}, {"start": 410.79, "end": 411.29, "word": " حلقت", "probability": 0.4256184895833333}, {"start": 411.29, "end": 411.45, "word": " في", "probability": 0.95703125}, {"start": 411.45, "end": 411.89, "word": " صفوف", "probability": 0.986328125}], "temperature": 1.0}, {"id": 16, "seek": 43260, "start": 412.56, "end": 432.6, "text": "في صفوف وانتهى الأمر هنا مافيش داعي ان اعمله Reshape الـ y.unarray وهي ال target attribute تبعتي نفس الكلام from ASCII learn.linear model import linear regression بنيت الموديل وعملته له fit فهنا راح تعرف او بنى الموديل وحدد ال intercept", "tokens": [41185, 20328, 5172, 38688, 4032, 7649, 47395, 7578, 16247, 29973, 34105, 19446, 41185, 8592, 11778, 45761, 1829, 16472, 1975, 25957, 43761, 5015, 42406, 2423, 39184, 288, 13, 409, 2284, 320, 37037, 1829, 2423, 3779, 19667, 6055, 3555, 3615, 31371, 8717, 36178, 2423, 28820, 10943, 490, 7469, 34, 9503, 1466, 13, 28263, 2316, 974, 8213, 24590, 44945, 36081, 9673, 2407, 16254, 1211, 4032, 25957, 1211, 47395, 46740, 3318, 6156, 3224, 8315, 12602, 39319, 37279, 28480, 1975, 2407, 44945, 7578, 9673, 2407, 16254, 1211, 4032, 24401, 3215, 2423, 24700], "avg_logprob": -0.29882812601598824, "compression_ratio": 1.425, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 412.56, "end": 412.74, "word": "في", "probability": 0.05242919921875}, {"start": 412.74, "end": 413.06, "word": " صفوف", "probability": 0.9563802083333334}, {"start": 413.06, "end": 413.56, "word": " وانتهى", "probability": 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"end": 419.32, "word": " target", "probability": 0.84912109375}, {"start": 419.32, "end": 420.06, "word": " attribute", "probability": 0.857421875}, {"start": 420.06, "end": 420.66, "word": " تبعتي", "probability": 0.9095458984375}, {"start": 420.66, "end": 421.92, "word": " نفس", "probability": 0.959716796875}, {"start": 421.92, "end": 422.34, "word": " الكلام", "probability": 0.9627278645833334}, {"start": 422.34, "end": 422.56, "word": " from", "probability": 0.6396484375}, {"start": 422.56, "end": 422.98, "word": " ASCII", "probability": 0.7150065104166666}, {"start": 422.98, "end": 423.3, "word": " learn", "probability": 0.4619140625}, {"start": 423.3, "end": 424.64, "word": ".linear", "probability": 0.7939453125}, {"start": 424.64, "end": 425.02, "word": " model", "probability": 0.71240234375}, {"start": 425.02, "end": 425.58, "word": " import", "probability": 0.830078125}, {"start": 425.58, "end": 426.02, "word": " linear", "probability": 0.9228515625}, {"start": 426.02, "end": 426.58, "word": " regression", "probability": 0.95849609375}, {"start": 426.58, "end": 427.36, "word": " بنيت", "probability": 0.7421875}, {"start": 427.36, "end": 427.72, "word": " الموديل", "probability": 0.7470703125}, {"start": 427.72, "end": 428.04, "word": " وعملته", "probability": 0.90673828125}, {"start": 428.04, "end": 428.22, "word": " له", "probability": 0.400390625}, {"start": 428.22, "end": 428.52, "word": " fit", "probability": 0.89013671875}, {"start": 428.52, "end": 429.3, "word": " فهنا", "probability": 0.9313151041666666}, {"start": 429.3, "end": 429.52, "word": " راح", "probability": 0.80126953125}, {"start": 429.52, "end": 430.1, "word": " تعرف", "probability": 0.8984375}, {"start": 430.1, "end": 430.34, "word": " او", "probability": 0.7266845703125}, {"start": 430.34, "end": 430.58, "word": " بنى", "probability": 0.8759765625}, {"start": 430.58, "end": 431.04, "word": " الموديل", "probability": 0.9412841796875}, {"start": 431.04, "end": 432.02, "word": " وحدد", 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"probability": 0.947021484375}, {"start": 453.87, "end": 454.17, "word": " ليهم", "probability": 0.92138671875}, {"start": 454.17, "end": 454.37, "word": " على", "probability": 0.74853515625}, {"start": 454.37, "end": 454.67, "word": " إنهم", "probability": 0.694091796875}, {"start": 454.67, "end": 455.41, "word": " مصفوفة", "probability": 0.953125}, {"start": 455.41, "end": 455.89, "word": " لأ", "probability": 0.5758056640625}, {"start": 455.89, "end": 455.99, "word": " و", "probability": 0.70556640625}, {"start": 455.99, "end": 456.23, "word": " فيها", "probability": 0.833740234375}, {"start": 456.23, "end": 456.43, "word": " two", "probability": 0.76416015625}, {"start": 456.43, "end": 456.91, "word": " variables", "probability": 0.9443359375}], "temperature": 1.0}, {"id": 18, "seek": 48563, "start": 458.07, "end": 485.63, "text": "أو two values ليش؟ لأن أنا فعليًا عندي two independent attributes X1 و X2 فانا روحت بس جملتها أكتر و فصلتهم و طبعتهم بالشكل هذا قلت له model.coefficient 0 عشان أجيب القيمة الأولى ضربتها في X1 as a text زائد عشان أطبع معادلة الخط ال .. أو بلاش ال .. ال linear space اللي موجود عندي هذا", "tokens": [10721, 2407, 732, 4190, 32239, 8592, 22807, 5296, 33456, 41850, 6156, 3615, 20292, 14111, 995, 18871, 16254, 732, 6695, 17212, 1783, 16, 4032, 1783, 17, 6156, 7649, 995, 12602, 2407, 33753, 4724, 3794, 10874, 42213, 2655, 11296, 5551, 4117, 2655, 2288, 4032, 6156, 36520, 2655, 16095, 4032, 23032, 3555, 34268, 16095, 20666, 8592, 28820, 23758, 12174, 1211, 2655, 46740, 2316, 13, 1291, 68, 7816, 1958, 6225, 8592, 7649, 5551, 7435, 1829, 3555, 25062, 32640, 3660, 16247, 12610, 7578, 48812, 25513, 2655, 11296, 8978, 1783, 16, 382, 257, 2487, 30767, 16373, 3215, 6225, 8592, 7649, 5551, 9566, 3555, 3615, 20449, 18513, 37977, 33962, 9566, 2423, 4386, 34051, 4724, 1211, 33599, 2423, 4386, 2423, 8213, 1901, 13672, 1829, 3714, 29245, 23328, 18871, 16254, 23758], "avg_logprob": -0.2118902499598216, "compression_ratio": 1.5575539568345325, 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"end": 744.68, "word": " actual", "probability": 0.284423828125}, {"start": 744.68, "end": 745.26, "word": " value", "probability": 0.98779296875}], "temperature": 1.0}, {"id": 29, "seek": 77311, "start": 746.21, "end": 773.11, "text": "نقص الـ Predicted Value لان انا بتكلم على continuous بتكلم على continuous value انا عمال ال prediction و ال actual value لازم تكون continuous الفرق بينهم هو نسبة الخطأ اللي موجود عندها لو بدي اجي للرسم يا جماعة الخير هذه النقطة بتمثل ال actual point النقطة الحقيقية مصبوط؟ طيب و ال predicted value تبعتها اللي هتكون هنا اللي على الخط", "tokens": [1863, 4587, 9381, 2423, 39184, 32969, 11254, 39352, 5296, 7649, 1975, 8315, 39894, 4117, 19528, 15844, 10957, 39894, 4117, 19528, 15844, 10957, 2158, 1975, 8315, 6225, 2304, 6027, 2423, 17630, 4032, 2423, 3539, 2158, 5296, 31377, 2304, 6055, 30544, 10957, 27188, 2288, 4587, 49374, 16095, 31439, 8717, 35457, 3660, 33962, 9566, 10721, 13672, 1829, 3714, 29245, 23328, 43242, 11296, 45164, 4724, 16254, 1975, 7435, 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{"start": 761.51, "end": 761.63, "word": " ال", "probability": 0.9697265625}, {"start": 761.63, "end": 761.95, "word": " actual", "probability": 0.7998046875}, {"start": 761.95, "end": 762.39, "word": " point", "probability": 0.97607421875}, {"start": 762.39, "end": 763.63, "word": " النقطة", "probability": 0.8782552083333334}, {"start": 763.63, "end": 764.83, "word": " الحقيقية", "probability": 0.988037109375}, {"start": 764.83, "end": 766.85, "word": " مصبوط؟", "probability": 0.7753092447916666}, {"start": 766.85, "end": 767.73, "word": " طيب", "probability": 0.8828125}, {"start": 767.73, "end": 768.11, "word": " و", "probability": 0.77490234375}, {"start": 768.11, "end": 768.21, "word": " ال", "probability": 0.88330078125}, {"start": 768.21, "end": 768.57, "word": " predicted", "probability": 0.7216796875}, {"start": 768.57, "end": 769.07, "word": " value", "probability": 0.98828125}, {"start": 769.07, "end": 770.01, "word": " تبعتها", "probability": 0.9117431640625}, {"start": 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عن ال assignment أنا مش عارف مش عامله hide اتكلم بال assignment انه جامعة الخير لازم احنا نشتغل و نطبق مع بعض لازم لازم لازم الان ايش مطلوب منك انت في عندك data set عندك data set و ال data set تبعتك مخصصة لل regression", "tokens": [1211, 15042, 5551, 2655, 4117, 19528, 18871, 2423, 15187, 41850, 37893, 6225, 9640, 5172, 37893, 6225, 10943, 43761, 6479, 1975, 2655, 4117, 19528, 20666, 15187, 16472, 3224, 10874, 10943, 27884, 33962, 13546, 5296, 31377, 2304, 1975, 5016, 8315, 8717, 8592, 2655, 17082, 1211, 4032, 8717, 9566, 3555, 4587, 20449, 45030, 11242, 5296, 31377, 2304, 5296, 31377, 2304, 5296, 31377, 2304, 2423, 7649, 1975, 1829, 8592, 3714, 9566, 1211, 37746, 9154, 4117, 16472, 2655, 8978, 43242, 4117, 1412, 992, 43242, 4117, 1412, 992, 4032, 2423, 1412, 992, 6055, 3555, 34268, 4117, 3714, 9778, 9381, 9381, 3660, 24976, 24590], "avg_logprob": -0.23230229409373537, "compression_ratio": 1.8112244897959184, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1076.67, "end": 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0.819091796875}, {"start": 1185.74, "end": 1185.88, "word": " في", "probability": 0.50146484375}, {"start": 1185.88, "end": 1186.5, "word": " عناياش", "probability": 0.62725830078125}, {"start": 1186.5, "end": 1188.36, "word": " التبتيب", "probability": 0.8631591796875}, {"start": 1188.36, "end": 1188.7, "word": " تاني", "probability": 0.86279296875}, {"start": 1188.7, "end": 1189.36, "word": " للتسليم", "probability": 0.91845703125}, {"start": 1189.36, "end": 1191.3, "word": " وحوضح", "probability": 0.761328125}, {"start": 1191.3, "end": 1191.68, "word": " اكتر", "probability": 0.844482421875}, {"start": 1191.68, "end": 1191.8, "word": " ان", "probability": 0.92236328125}, {"start": 1191.8, "end": 1191.96, "word": " شاء", "probability": 0.960205078125}, {"start": 1191.96, "end": 1192.02, "word": " الله", "probability": 0.92431640625}, {"start": 1192.02, "end": 1192.5, "word": " تعالى", "probability": 0.7899576822916666}, {"start": 1192.5, "end": 1193.36, "word": " ان", "probability": 0.420166015625}, {"start": 1193.36, "end": 1193.86, "word": " خلال", "probability": 0.8513997395833334}, {"start": 1193.86, "end": 1194.08, "word": " ال", "probability": 0.720703125}, {"start": 1194.08, "end": 1194.34, "word": " model", "probability": 0.58251953125}], "temperature": 1.0}, {"id": 47, "seek": 120922, "start": 1194.7, "end": 1209.22, "text": "بتمنى لكم التوفيق واتمنى يكون الموضوع ال regression واضح بالنسبة لكم وإذا في أي استفسار الموديل من خلال الموديل أو ال email أو جلسات النقاش اللي هنعملها لاحقا السلام عليكم ورحمة الله وبركاته", "tokens": [3555, 2655, 27842, 7578, 5296, 24793, 16712, 38688, 1829, 4587, 4032, 9307, 27842, 7578, 7251, 30544, 9673, 2407, 11242, 45367, 2423, 24590, 4032, 46958, 5016, 20666, 1863, 35457, 3660, 5296, 24793, 4032, 28814, 15730, 8978, 36632, 44713, 36178, 9640, 9673, 2407, 16254, 1211, 9154, 16490, 1211, 6027, 9673, 2407, 16254, 1211, 34051, 2423, 3796, 34051, 10874, 1211, 3794, 9307, 28239, 4587, 33599, 13672, 1829, 8032, 1863, 25957, 1211, 11296, 20193, 5016, 4587, 995, 21136, 37440, 25894, 24793, 4032, 2288, 35571, 3660, 21984, 4032, 26890, 4117, 9307, 3224], "avg_logprob": -0.17959872785617004, "compression_ratio": 1.6989795918367347, "no_speech_prob": 9.143352508544922e-05, "words": [{"start": 1194.7, "end": 1195.78, "word": "بتمنى", "probability": 0.70428466796875}, {"start": 1195.78, "end": 1195.94, "word": " لكم", "probability": 0.5882568359375}, {"start": 1195.94, "end": 1196.46, "word": " التوفيق", "probability": 0.965087890625}, {"start": 1196.46, "end": 1196.86, "word": " واتمنى", "probability": 0.714385986328125}, {"start": 1196.86, "end": 1197.08, "word": " يكون", "probability": 0.87158203125}, {"start": 1197.08, "end": 1197.82, "word": " الموضوع", "probability": 0.895263671875}, {"start": 1197.82, "end": 1197.9, "word": " ال", "probability": 0.58203125}, {"start": 1197.9, "end": 1198.16, "word": " regression", "probability": 0.77392578125}, {"start": 1198.16, "end": 1198.62, "word": " واضح", "probability": 0.9191080729166666}, {"start": 1198.62, "end": 1199.0, "word": " بالنسبة", "probability": 0.940185546875}, {"start": 1199.0, "end": 1199.34, "word": " لكم", "probability": 0.856201171875}, {"start": 1199.34, "end": 1199.78, "word": " وإذا", "probability": 0.8015950520833334}, {"start": 1199.78, "end": 1199.9, "word": " في", "probability": 0.350341796875}, {"start": 1199.9, "end": 1200.04, "word": " أي", "probability": 0.363037109375}, {"start": 1200.04, "end": 1200.66, "word": " استفسار", "probability": 0.97705078125}, {"start": 1200.66, "end": 1202.22, "word": " الموديل", "probability": 0.69683837890625}, {"start": 1202.22, "end": 1202.36, "word": " من", "probability": 0.94873046875}, {"start": 1202.36, "end": 1202.62, "word": " خلال", "probability": 0.9915364583333334}, {"start": 1202.62, "end": 1203.06, "word": " الموديل", "probability": 0.8834228515625}, {"start": 1203.06, "end": 1203.22, "word": " أو", "probability": 0.830078125}, {"start": 1203.22, "end": 1203.3, "word": " ال", "probability": 0.64111328125}, {"start": 1203.3, "end": 1203.6, "word": " email", "probability": 0.876953125}, {"start": 1203.6, "end": 1203.9, "word": " أو", "probability": 0.94287109375}, {"start": 1203.9, "end": 1204.32, "word": " جلسات", "probability": 0.9520263671875}, {"start": 1204.32, "end": 1204.82, "word": " النقاش", "probability": 0.9664713541666666}, {"start": 1204.82, "end": 1205.2, "word": " اللي", "probability": 0.845947265625}, {"start": 1205.2, "end": 1205.78, "word": " هنعملها", "probability": 0.89951171875}, {"start": 1205.78, "end": 1206.36, "word": " لاحقا", "probability": 0.95751953125}, {"start": 1206.36, "end": 1207.12, "word": " السلام", "probability": 0.8681640625}, {"start": 1207.12, "end": 1207.46, "word": " عليكم", "probability": 0.959228515625}, {"start": 1207.46, "end": 1207.88, "word": " ورحمة", "probability": 0.9677734375}, {"start": 1207.88, "end": 1208.18, "word": " الله", "probability": 0.97314453125}, {"start": 1208.18, "end": 1209.22, "word": " وبركاته", "probability": 0.98701171875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 1210.920625, "duration_after_vad": 1154.3265937500005}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY.srt
new file mode 100644
index 0000000000000000000000000000000000000000..50ec9ef179781aad466abae2b5f45742ad72be7b
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY.srt
@@ -0,0 +1,2164 @@
+1
+00:00:04,940 --> 00:00:07,280
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,280 --> 00:00:12,260
+أهلا وسهلا بكم في محاضرتنا المستمرّة... في
+
+3
+00:00:12,260 --> 00:00:15,740
+محاضراتنا المستمرّة في مساق الـ data mining وما زلنا
+
+4
+00:00:15,740 --> 00:00:20,980
+نتكلم في باب الـ classification، وبالتحديد سنتكلم
+
+5
+00:00:20,980 --> 00:00:24,660
+اليوم على decision tree induction. كنا في المحاضرات
+
+6
+00:00:24,660 --> 00:00:27,540
+السابقة، أو المحاضرة الأخيرة، أضفنا شغلة جديدة. كنا
+
+7
+00:00:27,540 --> 00:00:31,040
+نتكلم على الـ Naive Bayes. كانت فعليًا
+
+8
+00:00:31,040 --> 00:00:34,320
+هي واحدة من الـ probabilistic approach المستخدمة
+
+9
+00:00:34,320 --> 00:00:36,800
+في الـ machine learning من أجل الـ classification.
+
+10
+00:00:36,800 --> 00:00:41,680
+وقلنا إنّه يلزمنا أن نقوم بحساب لمجموعة من
+
+11
+00:00:41,680 --> 00:00:44,300
+probabilities. أنا عندي الـ instance اللي بدي...
+
+12
+00:00:44,300 --> 00:00:46,600
+اللي هي الـ unseen instance اللي أنا بدي أعمل لها
+
+13
+00:00:46,600 --> 00:00:50,440
+classification بناءً على... وبالتالي الـ class
+
+14
+00:00:50,440 --> 00:00:54,380
+الطبعة للـ instance هذه الموجودة عندي تساوي
+
+15
+00:00:54,380 --> 00:00:58,370
+maximum probability للـ probabilities of the class.
+
+16
+00:00:58,370 --> 00:01:05,470
+في احتمالية أن تكون الـ instance هذه مع الـ class
+
+17
+00:01:05,470 --> 00:01:10,110
+المعين. ولما رجعنا بالتفصيل، قلت أنا فعليًا بحاجة
+
+18
+00:01:10,110 --> 00:01:14,070
+أن آخذ هذه الـ data set، وأذهب لأنشئ الجدول هذا بحيث أنني
+
+19
+00:01:14,070 --> 00:01:18,550
+أذهب، حسبت الـ probability لكل element أو لكل
+
+20
+00:01:18,550 --> 00:01:21,770
+classes الموجودة عندي. ومن ثم انتقلنا في الخطوة
+
+21
+00:01:21,770 --> 00:01:24,910
+التي بعدها، أخذت الـ attributes التي من المفترض
+
+22
+00:01:24,910 --> 00:01:27,370
+التي من المفترض أن يكون لديها nominal attributes، أخذت
+
+23
+00:01:27,370 --> 00:01:30,950
+distinct values، وعملت حساب لكل واحدة منهم، وانتبهوا
+
+24
+00:01:30,950 --> 00:01:35,520
+دائمًا، وانتبهوا دائمًا أنني فعليًا هنا قاعد بأشتغل على
+
+25
+00:01:35,520 --> 00:01:38,840
+أن الـ probability نفسها، يعني الآن عدد الـ yes في الـ
+
+26
+00:01:38,840 --> 00:01:42,880
+data، اللي عندي هنا 4 على 10. ومن ثم مع كل route
+
+27
+00:01:42,880 --> 00:01:48,400
+أو كل attribute تحت الـ yes سيكون 4، وكل مجموع
+
+28
+00:01:48,400 --> 00:01:51,920
+العناصر تحت كل no سيكون 6، وهكذا. وهذا مفتاح
+
+29
+00:01:51,920 --> 00:01:56,510
+النجاح، للعناصر الموجودة. ولما جئنا نُصنّف الـ
+
+30
+00:01:56,510 --> 00:01:59,230
+sunny والـ mild والـ high، قلنا حسبت الـ
+
+31
+00:01:59,230 --> 00:02:01,670
+probability للـ yes التي كانت 4 على 10 في الـ
+
+32
+00:02:01,670 --> 00:02:04,690
+probability للـ sunny على الـ yes، وقلنا هذا الجدول
+
+33
+00:02:04,690 --> 00:02:07,810
+الأساس في الموضوع، هي sunny و yes، هيها 4 على 10
+
+34
+00:02:07,810 --> 00:02:12,530
+مضروبة في العنصر الثاني، كانت mild، الـ probability
+
+35
+00:02:12,530 --> 00:02:17,190
+تبعت الـ mild، يعني بين قوسين هي الـ yes هذه مضروبة
+
+36
+00:02:17,190 --> 00:02:22,410
+في هذه في الـ mild في الـ high، وهذه العناصر كانت
+
+37
+00:02:22,410 --> 00:02:25,050
+تمثّل الـ probability. فأنا حسبت الـ probability للـ
+
+38
+00:02:25,050 --> 00:02:27,850
+different classes الموجودة عندي، وأخذت الـ
+
+39
+00:02:27,850 --> 00:02:31,810
+maximum probability، على أن هذه هي الأكثر احتمالية
+
+40
+00:02:31,810 --> 00:02:36,090
+في موضوع أن هذا العنصر أو هذه الـ instance تنتمي للـ
+
+41
+00:02:36,090 --> 00:02:40,850
+class الموجودة عندها. الآن اليوم إن شاء الله
+
+42
+00:02:40,850 --> 00:02:45,620
+سنتنتقل إلى الموضوع الجديد، وهو موضوع الـ
+
+43
+00:02:45,620 --> 00:02:49,500
+decision tree في التعامل أو كـ different classifier.
+
+44
+00:02:49,500 --> 00:02:53,300
+الـ decision tree هي واحدة من الـ classifiers المهمة
+
+45
+00:02:53,300 --> 00:02:57,200
+جدا، المستخدمة في موضوع الـ classification، وأهميتها
+
+46
+00:02:57,200 --> 00:03:00,840
+أنّي أمكنني أن أرسم الشجرة، وبالتالي يصير تفسير
+
+47
+00:03:00,840 --> 00:03:04,000
+الـ model الموجود عندي، أو فهم الـ model الذي عندي
+
+48
+00:03:04,000 --> 00:03:07,210
+أكثر من غيره. على سبيل المثال، قلنا في الـ
+
+49
+00:03:07,210 --> 00:03:10,610
+classifier الماضي، وهو naive Bayes، أنني فعليًا
+
+50
+00:03:10,610 --> 00:03:13,970
+عند الـ classifier هذا، مهم أو جيد، لأنه أنا أقدر
+
+51
+00:03:13,970 --> 00:03:17,090
+أفسر لماذا النتيجة طلعت معي هكذا، بناءً على
+
+52
+00:03:17,090 --> 00:03:21,310
+الاحتمالات الموجودة. في الـ decision tree كذلك، في
+
+53
+00:03:21,310 --> 00:03:24,590
+decision tree هي عبارة عن أنني فعليًا أُبني
+
+54
+00:03:24,590 --> 00:03:26,930
+decision tree. أيها السادة، لما أنا بأتكلم على
+
+55
+00:03:26,930 --> 00:03:31,210
+decision tree، تذكروا، دعونا نتذكر بسرعة الـ
+
+56
+00:03:31,210 --> 00:03:34,930
+binary search tree. لا أريد أكثر من ذلك. الـ binary
+
+57
+00:03:34,930 --> 00:03:38,490
+search tree كانت عناصرها أنّ كل node على
+
+58
+00:03:38,490 --> 00:03:43,580
+الأكثر لديها two child، صحيح؟ هذه هي الـ binary tree.
+
+59
+00:03:43,580 --> 00:03:47,140
+وكان فيه rule يحكمها، الـ rule أنني في الـ binary
+
+60
+00:03:47,140 --> 00:03:51,200
+search tree، أنّ كل القيم التي على اليمين هنا ستكون
+
+61
+00:03:51,200 --> 00:03:55,570
+أكبر من الـ element، وكل القيم التي موجودة عندها هنا
+
+62
+00:03:55,570 --> 00:03:59,330
+ستكون أصغر. طيب، القيم المتساوية؟ مالها وجود، المكررة
+
+63
+00:03:59,330 --> 00:04:02,830
+مالها وجود. وبالتالي الـ element مع كل node، الـ node
+
+64
+00:04:02,830 --> 00:04:05,690
+التي عندها القيم الموجودة هنا ستكون أصغر من القيم
+
+65
+00:04:05,690 --> 00:04:08,810
+التي موجودة هنا، وهذه طبيعتها ستكون أصغر من القيم
+
+66
+00:04:08,810 --> 00:04:12,330
+التي موجودة عندها. بمعنى آخر، أنّ الـ structure تبع الـ
+
+67
+00:04:12,330 --> 00:04:15,250
+decision tree، أنا بالفعل أعرفها، هي عبارة عن
+
+68
+00:04:15,250 --> 00:04:18,270
+مجموعة من الـ nodes والـ connection أو الـ connected
+
+69
+00:04:18,270 --> 00:04:22,790
+أو الـ graph with no circuit، زي ما كنا نسميها في الـ
+
+70
+00:04:22,790 --> 00:04:25,670
+discrete mathematics، أشبه بالـ flow chart، زي ما
+
+71
+00:04:25,670 --> 00:04:28,750
+قلنا سابقًا. في عندي الـ internal node، واللي أنا
+
+72
+00:04:28,750 --> 00:04:32,150
+فعليًا هي الـ value تبعها... ستمثل الـ value تبع الـ
+
+73
+00:04:32,150 --> 00:04:35,490
+attribute التي سأحمل عليها الفحص، سأسأل: كم الـ GPA
+
+74
+00:04:35,490 --> 00:04:40,550
+أكبر أو تساوي كذا، أذهب يمينًا، أقل أو false، أذهب يسارًا.
+
+75
+00:04:40,550 --> 00:04:45,090
+وهكذا. فهذه الـ internal node، التي هي عادة non-leaf،
+
+76
+00:04:45,950 --> 00:04:49,790
+تحدد الـ test تبع الـ attribute، الـ branch يمثل الـ
+
+77
+00:04:49,790 --> 00:04:53,210
+outcome، وصولًا للـ leaf الموجودة عندي، والـ leaf
+
+78
+00:04:53,210 --> 00:04:58,070
+node تمثّل الـ class، وطبعًا لازم كل شجرة يكون لها
+
+79
+00:04:58,070 --> 00:05:03,690
+root node. تعالوا نشوف الـ data set البسيطة التي
+
+80
+00:05:03,690 --> 00:05:08,870
+موجودة عندنا. هذه الـ data set مكوّنة من 14 row، الـ
+
+81
+00:05:08,870 --> 00:05:12,490
+Age والـ income والـ student والـ credit rating والـ
+
+82
+00:05:12,490 --> 00:05:15,710
+class تبعي. وطبعًا، أيها السادة، لما نحن نذهب
+
+83
+00:05:15,710 --> 00:05:20,610
+باتجاه الـ binary class، يعني two classes، الأمر الذي
+
+84
+00:05:20,610 --> 00:05:23,690
+أسهل، لأجل استيعاب ماذا يحدث، لأنه لما تصبح عندي
+
+85
+00:05:23,690 --> 00:05:26,430
+ثلاثة، ستتشعب الأمور قليلًا في الحساب، لكنّها
+
+86
+00:05:26,430 --> 00:05:32,030
+عبارة عن تكرار لما سبق. الآن أنا... عندي مجموعة
+
+87
+00:05:32,030 --> 00:05:35,530
+من الطلاب، أو بيانات مجموعة من الناس الذين اشتروا
+
+88
+00:05:35,530 --> 00:05:39,190
+حاسبات. والـ data set كانت قديمة، في الـ 2000، وكان
+
+89
+00:05:39,190 --> 00:05:42,630
+يسأل: هل هذا الشخص مؤهّل، أو ممكن، مع احتمال أن يشتري
+
+90
+00:05:42,630 --> 00:05:47,430
+جهازًا أم لا، بناءً على حالته. الـ age، لاحظوا الـ age، أنا
+
+91
+00:05:47,430 --> 00:05:52,190
+أتكلم على discrete أو categorial data. الـ income،
+
+92
+00:05:52,190 --> 00:05:56,210
+high و low و medium. طالب أم غير طالب، yes أو no. والـ
+
+93
+00:05:56,210 --> 00:06:00,750
+credit rating، عادي أو معتدل أو excellent.
+
+94
+00:06:00,750 --> 00:06:03,830
+بالنسبة للمتوسط الراتب تبعه، وفي الآخر الـ class
+
+95
+00:06:03,830 --> 00:06:07,330
+الموجودة عندهم. الآن، لما أنا بدي أبني tree، الـ
+
+96
+00:06:07,330 --> 00:06:11,730
+tree ستأخذ بالشكل هذا. دعونا، لأجل أن نأخذ على
+
+97
+00:06:11,730 --> 00:06:16,110
+السريع، نأخذ الـ role أولًا، لأجل أن نتذكر، ونشوف كيف بدي
+
+98
+00:06:16,110 --> 00:06:19,350
+أتناول الـ tree، أو كيف تعمل كـ classifier. yes،
+
+99
+00:06:19,350 --> 00:06:24,090
+high، no، fair.
+
+100
+00:06:26,540 --> 00:06:32,680
+الـ target تبعي؟ لا، هذا أول row. بس أنا، لأجل أن أغيّر،
+
+101
+00:06:32,680 --> 00:06:36,700
+بدي أحط هنا yes، لأجل أن تصبح هذه الـ data أشبه بالـ
+
+102
+00:06:36,700 --> 00:06:41,660
+unseen، وأشوف بالـ classification تبعها كيف بدها
+
+103
+00:06:41,660 --> 00:06:47,620
+تكون. الآن، زي ما قلنا، لدينا الـ age، الـ income،
+
+104
+00:06:47,620 --> 00:06:50,860
+student،
+
+105
+00:06:50,860 --> 00:06:54,920
+وفي الآخر التي هي الـ credit
+
+106
+00:07:02,220 --> 00:07:06,100
+rate. حاجة على decision tree. الـ decision tree أو الـ
+
+107
+00:07:06,100 --> 00:07:09,400
+model، لما تم بناؤه، جاء يقول: أهم element في
+
+108
+00:07:09,400 --> 00:07:13,660
+القرار عندي، الـ age. وسنتعرّف كمان لحظات، إن شاء الله
+
+109
+00:07:13,660 --> 00:07:17,240
+تعالى، كيف نحن اخترنا الـ age. لماذا لم تكن
+
+110
+00:07:17,240 --> 00:07:20,060
+student، أو لـ credit rating، التي هي الـ attributes
+
+111
+00:07:20,060 --> 00:07:23,260
+الأخرى؟ ولاحظوا أنّ عندي، بالكامل، عندي
+
+112
+00:07:23,260 --> 00:07:27,950
+attribute غائب، وهو موضوع الـ income في الـ
+
+113
+00:07:27,950 --> 00:07:30,530
+decision tree الموجودة عندي. يعني هو كأنه يقول
+
+114
+00:07:30,530 --> 00:07:35,270
+الـ income هنا ليس له تأثير كثير على الـ decision
+
+115
+00:07:35,270 --> 00:07:39,010
+أو على القرار الموجود عندي. طيب، كيف هذا الكلام
+
+116
+00:07:39,010 --> 00:07:44,590
+صار؟ سنراه قليلًا، لماذا؟ في دلالة أخرى هنا، يأتي
+
+117
+00:07:44,590 --> 00:07:47,350
+يقول إنّ الـ income الأقل تأثيرًا، أو ليس له تأثير، يعني
+
+118
+00:07:47,350 --> 00:07:50,130
+بإمكاني أن أشيله، أو أستغني عنه. بجمع البيانات الأخرى
+
+119
+00:07:50,130 --> 00:07:55,510
+ستكون أسهل. الآن، الـ age: youth, middle age، و senior.
+
+120
+00:07:55,510 --> 00:07:59,210
+في عندي تفرعات أخرى؟ لا، هؤلاء الـ three discrete
+
+121
+00:07:59,210 --> 00:08:02,850
+values الموجودة عندي بالـ age، تمام؟ حسب الـ rule
+
+122
+00:08:02,850 --> 00:08:09,970
+عندنا هنا، هي الـ age. إذا أنا سألته age، يعني خلاص كل
+
+123
+00:08:09,970 --> 00:08:14,010
+branch السابق هذه ليس لي دخل بها. إذا كان هو
+
+124
+00:08:14,010 --> 00:08:19,770
+student، غالبًا سيشتري، ولن أبحث عن المزيد، لن
+
+125
+00:08:19,770 --> 00:08:22,210
+تحتاجني. تعالوا، طلع معي هنا.
+
+126
+00:08:26,000 --> 00:08:28,800
+وهذا الطالب سيكون يشتري كمبيوتر، لماذا؟ لأنّ إذا
+
+127
+00:08:28,800 --> 00:08:31,800
+كان هو في الـ middle age، أو في الـ youth، صغير أو شاب
+
+128
+00:08:31,800 --> 00:08:35,300
+يافع وطالب في نفس الوقت، يعني طالب جامعة، فغالبًا
+
+129
+00:08:35,300 --> 00:08:38,820
+هذا سيحتاج كمبيوتر، ومن ثم سيذهب ليشتريه. لو أنا بدي
+
+130
+00:08:38,820 --> 00:08:42,000
+أعود إلى الـ data set الموجودة عندي هنا، youth و
+
+131
+00:08:42,000 --> 00:08:49,200
+student و fair، yes. youth، student، و fair،
+
+132
+00:08:51,960 --> 00:08:54,880
+لأجل أن تلاحظوا أنّ هذين هما اللذان كانا أكثر
+
+133
+00:08:54,880 --> 00:09:00,340
+تأثيرًا في حالة الـ elements الموجودة. وهكذا، لو
+
+134
+00:09:00,340 --> 00:09:05,040
+كان still age في الـ middle age، مباشرة سيكون يشتري
+
+135
+00:09:05,040 --> 00:09:08,040
+الـ attribute، لو كان senior،
+
+136
+00:09:10,850 --> 00:09:14,250
+والـ income rate الذي عنده fair، غالبًا لن يشتريه.
+
+137
+00:09:14,250 --> 00:09:17,210
+وهكذا تصبح موضوع الـ decision أو موضوع الـ
+
+138
+00:09:17,210 --> 00:09:19,950
+classification. يعني الـ leaves التي عندي في الـ node
+
+139
+00:09:19,950 --> 00:09:23,850
+أو عفواً في الـ... في الـ trees، الـ leaf nodes تمثّل
+
+140
+00:09:23,850 --> 00:09:27,930
+الـ classes التي أنا أبحث عنها. وطبعًا عمق
+
+141
+00:09:27,930 --> 00:09:33,210
+الشجرة وحجمها مرتبط بعدد الـ attributes وحجم الـ
+
+142
+00:09:33,210 --> 00:09:35,970
+data set الموجودة عندي.
+
+143
+00:09:38,250 --> 00:09:42,710
+الآن، الـ algorithm المستخدم مع الـ decision tree،
+
+144
+00:09:42,710 --> 00:09:50,490
+وهو الـ basic algorithm، نسميه C4.5. وهذا يعمل
+
+145
+00:09:50,490 --> 00:09:54,150
+في مبدأ الـ top-down recursive divide and conquer.
+
+146
+00:09:54,150 --> 00:09:58,730
+الآن، الناس الذين أخذوا خوارزميات، حتمًا مرّ عليهم مصطلح
+
+147
+00:09:58,730 --> 00:10:03,170
+divide and conquer. الفكرة في الـ algorithm هذا، أنّ
+
+148
+00:10:03,170 --> 00:10:07,810
+المشكلة الكبيرة نجزّئها، ونستطيع السيطرة عليها. يعني
+
+149
+00:10:07,810 --> 00:10:11,630
+بنجزئها، نحل جزء جزء من الـ data set الموجودة عندك
+
+150
+00:10:11,630 --> 00:10:14,890
+هنا، وسنرى قليلًا. وهذا المبدأ هو مبدأ الـ
+
+151
+00:10:14,890 --> 00:10:17,870
+greedy، طبعًا. ومن ثم الـ algorithm هذا أخذ الـ greedy
+
+152
+00:10:17,870 --> 00:10:21,450
+algorithm. ماذا يعني greedy؟ يعني الطماع. فكرته، بكل
+
+153
+00:10:21,450 --> 00:10:24,710
+بساطة، أنني أنظر إلى best solution في الـ current
+
+154
+00:10:24,710 --> 00:10:29,210
+stage، لا أهتم على المدى البعيد، ماذا سيحدث عندي؟
+
+155
+00:10:30,520 --> 00:10:33,720
+سأبدأ مع كل examples، سآخذ مع الـ data الـ attributes
+
+156
+00:10:33,720 --> 00:10:38,280
+لكل الـ data set، وأذهب لأجل أن أوجد، أو أجد من
+
+157
+00:10:38,280 --> 00:10:45,240
+خلالها الـ root. الآن، كل الـ data set التي عندي هنا
+
+158
+00:10:45,240 --> 00:10:52,780
+must be categorical. الآن في الـ C4.5، كل الـ
+
+159
+00:10:52,780 --> 00:10:56,500
+attribute لازم تكون categorical. طيب، أنا ما عنديش، أنا
+
+160
+00:10:56,500 --> 00:11:01,750
+عندي continuous value، سأقوم بعمل discretization، ولكل
+
+161
+00:11:01,750 --> 00:11:06,030
+بإمكاني أن أُعطيها label، وأعتمد، أشتغل على الـ label الموجودة
+
+162
+00:11:06,030 --> 00:11:09,810
+عندك هنا. يعني لما تأتي مثلاً الـ age، نقول والله
+
+163
+00:11:09,810 --> 00:11:19,390
+youth من 16 مثلاً إلى 22، youth. الـ
+
+164
+00:11:19,390 --> 00:11:24,870
+age، أقول مثلاً من 23 إلى 35، senior.
+
+165
+00:11:26,900 --> 00:11:30,060
+وبالتالي أنا أقدر أشتغل... بما أنّ الـ algorithm يريد
+
+166
+00:11:30,060 --> 00:11:33,260
+مني discrete أو nominal data، فأقدر أعمل
+
+167
+00:11:33,260 --> 00:11:37,140
+discretization، أعمل binning، وبعد ذلك أذهب، أضع
+
+168
+00:11:37,140 --> 00:11:43,280
+label لكل bin أو لكل interval في الـ continuous
+
+169
+00:11:43,280 --> 00:11:47,000
+attribute الموجودة عندهم. وعلى الرغم من ذلك، سأتكلم
+
+170
+00:11:47,000 --> 00:11:51,160
+كذلك قليلًا، بشكل بسيط، في موضوع، فعليًا كيف أمكنني
+
+171
+00:11:51,160 --> 00:11:54,620
+أفحص لو كان عندي continuous. في algorithms مختلفة.
+
+172
+00:11:54,620 --> 00:11:55,680
+طيب.
+
+173
+00:11:58,590 --> 00:12:03,350
+ممتاز. معناته أنا فعليًا سآخذ الـ data set، وأبدأ أمرر
+
+174
+00:12:03,350 --> 00:12:08,530
+على كل attribute وعلى كل الـ rows، وأُجزّئ العناصر
+
+175
+00:12:0
+
+223
+00:15:57,930 --> 00:16:01,530
+student فكانت هي الـ student الـ student هدفي yes و
+
+224
+00:16:01,530 --> 00:16:06,370
+no بناء عليه، الـ data set بتنجي سيملة two data sets
+
+225
+00:16:06,370 --> 00:16:10,450
+كمان مرة واحدة مع الـ yes و واحدة مع الـ no، و بنقل
+
+226
+00:16:10,450 --> 00:16:14,510
+طبعا بما أنه أنا student yes و no بروح بدور صارت
+
+227
+00:16:14,510 --> 00:16:17,450
+هدولة بينتموا لدولة class و هدولة كل partition بينتموا لـ
+
+228
+00:16:17,450 --> 00:16:22,100
+الـ class معناته أنا وجفت، طيب فحصت الـ .. عفوا، فحصت
+
+229
+00:16:22,100 --> 00:16:26,320
+الـ age و فحصت الـ student و فحصت الـ income و في
+
+230
+00:16:26,320 --> 00:16:28,940
+الآخر، لاجيت أن أنا فعليا ما فيش عندي attributes
+
+231
+00:16:28,940 --> 00:16:32,200
+فخلصنا، فهذه الـ condition أو stopping conditions
+
+232
+00:16:32,200 --> 00:16:35,900
+اللي أنا ممكن أوقف عليها طالما الـ data ستة بقت
+
+233
+00:16:35,900 --> 00:16:40,840
+كبيرة و فيها شغل، الـ decision tree بياخد مني وقت طويل في
+
+234
+00:16:40,840 --> 00:16:44,820
+موضوع القرار اللي موجود هنا، كمان مرة بلخص بشكل
+
+235
+00:16:44,820 --> 00:16:50,430
+سريع، متى أنا ممكن أوقف، أظل أبحث، مين اللي بيحدد الـ
+
+236
+00:16:50,430 --> 00:16:53,630
+depth تبعت letter E، الـ depth تبعت letter E تحدد
+
+237
+00:16:53,630 --> 00:16:56,810
+تبع الـ dimensionality تبع الـ data set، عدد الـ
+
+238
+00:16:56,810 --> 00:17:01,550
+attributes و عدد الـ rows، الآن متى بدي أوقف؟ لما
+
+239
+00:17:01,550 --> 00:17:04,890
+تكون كل الـ sample في الـ given node تنتمي لنفس الـ
+
+240
+00:17:04,890 --> 00:17:07,950
+class، يعني لما أنا اخترت الـ attribute و روحت أعمل
+
+241
+00:17:07,950 --> 00:17:11,970
+split، لاجيت واحدة من الـ partitions اللي موجودة
+
+242
+00:17:11,970 --> 00:17:13,970
+بتنتمي لنفس الـ class، خلاص، هاد ابني، ما فيش فيها شغل
+
+243
+00:17:13,970 --> 00:17:16,870
+لإن هاد الـ decision تبعتها مباشرة، لإنها بتنتمي
+
+244
+00:17:16,870 --> 00:17:20,850
+لنفس الـ class، معناته خلاص وصلت لـ leave node، الـ
+
+245
+00:17:20,850 --> 00:17:29,750
+leave node تبعتي، الـ leave node، الـ leave، لما الخيار
+
+246
+00:17:29,750 --> 00:17:32,690
+التاني، أنه لما بكون فعليا أنا عملت splitting للـ
+
+247
+00:17:32,690 --> 00:17:35,250
+data set على كل الـ attributes و خلصت الـ attributes
+
+248
+00:17:35,250 --> 00:17:40,030
+تبعتي، برضه ما عنديش شغل، و there is no sample left
+
+249
+00:17:40,030 --> 00:17:43,610
+ما بقاش عندي ولا حاجة في الـ data set عشان أجسمها
+
+250
+00:17:43,610 --> 00:17:47,510
+على مستوى الرأس، تعالوا نروح مع بعض من خلال نشوف الـ
+
+251
+00:17:47,510 --> 00:17:52,910
+information gain و هي الأكثر و الأشهر استخداما، و
+
+252
+00:17:52,910 --> 00:17:55,830
+الـ Gain Index، هنتكلم على الـ information gain بكل
+
+253
+00:17:55,830 --> 00:17:59,970
+بساطة، الـ information gain بتعتمد على الـ
+
+254
+00:17:59,970 --> 00:18:02,830
+probability، مش إحنا قلنا قبل شوية موضوع الـ
+
+255
+00:18:02,830 --> 00:18:06,970
+splitting أو الفصل في الـ attributes بيعتمد اعتمادا
+
+256
+00:18:06,970 --> 00:18:12,250
+كله على فعليا العناصر اللي موجودة، على احتمال
+
+257
+00:18:12,250 --> 00:18:15,930
+يقول لنا إما heuristic rules أو statistical
+
+258
+00:18:15,930 --> 00:18:19,650
+measurement، لما بتكلم على probability معناته أنا
+
+259
+00:18:19,650 --> 00:18:22,950
+جاي بتكلم على احتمالات، الـ statistics إلى آخره
+
+260
+00:18:23,780 --> 00:18:27,160
+بقول، افترض أن الـ P I هي عبارة عن الـ probability
+
+261
+00:18:27,160 --> 00:18:34,780
+of an arbitrary tuple في الـ data الـ 6 تبعتي
+
+262
+00:18:34,780 --> 00:18:36,740
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+263
+00:18:36,740 --> 00:18:36,820
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+264
+00:18:36,820 --> 00:18:37,520
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+265
+00:18:37,520 --> 00:18:40,280
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+266
+00:18:40,280 --> 00:18:49,560
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبع
+
+267
+00:18:51,740 --> 00:18:55,960
+الـ Probability للـ CD، الـ CI على الـ D، على كل
+
+268
+00:18:55,960 --> 00:18:59,300
+Probability تبع الـ data set اللي موجودة، بكل بساطة
+
+269
+00:18:59,300 --> 00:19:04,400
+أنا في عندي تلت عمليات حسابية هعملها عشان آخد الـ
+
+270
+00:19:04,400 --> 00:19:07,560
+decision و أحدد من الـ test node اللي موجود عندي
+
+271
+00:19:07,560 --> 00:19:11,540
+الأولى، هسميها الـ expected information أو الـ
+
+272
+00:19:11,540 --> 00:19:19,260
+entropy، وهي لكل الـ data set اللي موجودة عندي هنا
+
+273
+00:19:19,260 --> 00:19:27,600
+شو يعني؟ الآن مطلوب مني أن أحسب الـ information أو
+
+274
+00:19:27,600 --> 00:19:31,140
+الـ entropy للـ classes اللي موجودة في الـ data set
+
+275
+00:19:31,140 --> 00:19:34,700
+لكل الـ data set، وهنا بنجو سين، وكأني بده يقول لي
+
+276
+00:19:34,700 --> 00:19:40,940
+احسب احتمالية، أو احسب الـ probability لكل class في
+
+277
+00:19:40,940 --> 00:19:43,880
+الـ data set، عدد مرات ظهور الـ class في الـ data set
+
+278
+00:19:43,880 --> 00:19:46,840
+اللي موجودة عندي هنا، وبعد هيك بروح أطبق عليهم
+
+279
+00:19:46,840 --> 00:19:51,840
+العملية، يعني أنا لو كنت على سبيل المثال، الـ data 6
+
+280
+00:19:51,840 --> 00:19:57,580
+تبعتي فيها عشر elements، أربعة منهم yes وستة منهم no
+
+281
+00:19:57,580 --> 00:20:01,040
+أنا
+
+282
+00:20:01,040 --> 00:20:04,100
+في عيني بتكلم على binary classification yes or no
+
+283
+00:20:04,100 --> 00:20:10,200
+أربعة yes وستة no، الـ information gained للـ data 6
+
+284
+00:20:10,200 --> 00:20:16,720
+تبعتي كلها هي عبارة عن مجموع ناقص
+
+285
+00:20:16,720 --> 00:20:20,600
+مضروبة فيه الـ probability تبعت الـ data الأولى
+
+286
+00:20:22,150 --> 00:20:28,310
+احتمال الـ class الأول 4 على 10 مضروبة في log الـ 4
+
+287
+00:20:28,310 --> 00:20:33,210
+على 10 للأساس 2، زائد
+
+288
+00:20:34,590 --> 00:20:40,310
+6 على 10 مضروبة في الـ logarithm 6 على 10، الـ
+
+289
+00:20:40,310 --> 00:20:44,350
+logarithm، الـ binary logarithm، وهكذا، ليش القيمة
+
+290
+00:20:44,350 --> 00:20:48,030
+هتداني إشارة سالبة؟ لأن الـ logarithm تبعت الـ binary
+
+291
+00:20:48,030 --> 00:20:52,690
+بتاعة الكسل هتطلع عندي سالب، وإذا بتذكروا، في عندي
+
+292
+00:20:52,690 --> 00:21:01,740
+log الـ X على الـ Y تساوي log X ناقص log Y، وبما أن الـ
+
+293
+00:21:01,740 --> 00:21:05,200
+Y عندي أكبر من الـ X فستكون القيمة اللي عندي سالبة
+
+294
+00:21:05,200 --> 00:21:07,880
+عشان أنا أخلص منها، أخلص منها، فكانت القيمة اللي
+
+295
+00:21:07,880 --> 00:21:12,360
+عندي هنا هتطلع قيم موجبة، واضح الأمور إن شاء الله
+
+296
+00:21:12,360 --> 00:21:18,090
+يا جماعة الخير، الآن يعني أول شغلة فعليا أنا هسويها
+
+297
+00:21:18,090 --> 00:21:21,350
+هروح أحسب الـ probability لكل class أو بين جثين
+
+298
+00:21:21,350 --> 00:21:27,670
+هحسب الـ entropy، هي عبارة عن حاصل .. عبارة عن مجموع
+
+299
+00:21:27,670 --> 00:21:33,310
+حاصل ضرب الـ probability لكل class في الـ logarithm
+
+300
+00:21:33,310 --> 00:21:38,830
+أو الـ binary log لـ الـ probability لـ الـ class اللي
+
+301
+00:21:38,830 --> 00:21:41,930
+موجود عندي، و زي ما بقوله بالـ .. بالـ .. بالـ ..
+
+302
+00:21:42,360 --> 00:21:45,340
+بالمثال يتضح، كمان شوية هنتقل للمثال
+
+303
+00:21:45,340 --> 00:21:50,740
+بالتفصيل إن شاء الله تعالى، الخطوة اللي بعد هيك بدي
+
+304
+00:21:50,740 --> 00:21:58,260
+أروح لكل attribute A، أحاول فعليا أجسم الـ data set
+
+305
+00:21:58,260 --> 00:22:02,040
+لمجموعة من الـ partitions، جداش عدد الـ V هذه، أو جداش
+
+306
+00:22:02,040 --> 00:22:07,420
+عدد الـ partitions، بعدد الـ distinct values اللي
+
+307
+00:22:07,420 --> 00:22:12,630
+موجودة عندي في الـ attribute، يعني الـ age كان في
+
+308
+00:22:12,630 --> 00:22:19,910
+عندي تلاتة، three values، يث و middle age و
+
+309
+00:22:19,910 --> 00:22:23,570
+senior، ففعليا الـ attribute الـ age هي
+
+310
+00:22:26,960 --> 00:22:30,380
+الـ Attribute الـ Age، يث و Middle Age و senior
+
+311
+00:22:30,380 --> 00:22:33,860
+هي الـ three distinct values، ففعليا بناء على الـ
+
+312
+00:22:33,860 --> 00:22:38,600
+attribute هذا، هجسم الـ data set تبعتي كلها لـ three
+
+313
+00:22:38,600 --> 00:22:43,860
+.. لـ three subsets، لـ three partitions، مع كل واحدة
+
+314
+00:22:43,860 --> 00:22:46,600
+من الـ values اللي موجودة عندي هنا، عشان أنا فعليا
+
+315
+00:22:46,600 --> 00:22:52,190
+أروح أحسب الـ information للـ attribute اللي موجودة
+
+316
+00:22:52,190 --> 00:22:56,050
+عندها، إيش الـ information للـ attribute؟ الـ
+
+317
+00:22:56,050 --> 00:23:01,870
+information للـ attribute يساوي الـ summation، احتمال
+
+318
+00:23:01,870 --> 00:23:04,870
+الـ element اللي عندي، أو الـ class اللي موجودة عندي
+
+319
+00:23:04,870 --> 00:23:08,310
+هنا للـ attribute، فيه الـ information تبعت الـ subset
+
+320
+00:23:08,310 --> 00:23:12,390
+اللي موجودة، يعني بين جسيم الـ subset الجديدة، أنا
+
+321
+00:23:12,390 --> 00:23:16,770
+هشتغل عليها، و أحسبها، الـ intro b السابقة، بعد ما
+
+322
+00:23:16,770 --> 00:23:23,570
+أحسب الـ information للـ attribute، الـ gain، الانحياز
+
+323
+00:23:25,400 --> 00:23:28,740
+لـ الـ element اللي موجود عندي هنا، أو التحصيل اللي
+
+324
+00:23:28,740 --> 00:23:33,400
+ممكن نسميه التحصيل الـ a، هي عبارة عن الـ
+
+325
+00:23:33,400 --> 00:23:38,760
+information للـ D الأولى، ناقص الـ information أو الـ
+
+326
+00:23:38,760 --> 00:23:41,640
+entropy تبعت الـ attribute اللي عندي، الـ entropy
+
+327
+00:23:41,640 --> 00:23:47,180
+تبعت الـ attribute اللي عندي، يعني أنا فعليا هاخد
+
+328
+00:23:47,180 --> 00:23:53,540
+هاي و هايهطرحهم من بعض، بس ما تنسوش أن فعليا هذه
+
+329
+00:23:53,540 --> 00:23:59,580
+هي نفسها اللي فوق، بس على different subset أو على
+
+330
+00:23:59,580 --> 00:24:03,680
+different data set أو بين جسين، على subset set تبعا
+
+331
+00:24:03,680 --> 00:24:07,320
+للـ values اللي جسمتها، للـ partition اللي جسمتها ليها
+
+332
+00:24:07,320 --> 00:24:11,480
+الـ attribute اللي عندنا، تعالوا نروح هنا و نشوف
+
+333
+00:24:11,480 --> 00:24:17,140
+المثال اللي موجود عندنا، قلنا في الخطوة رقم واحد، في
+
+334
+00:24:17,140 --> 00:24:21,600
+الخطوة رقم واحد، قلنا أنا اتفقنا أن أنا فعليا هروح
+
+335
+00:24:21,600 --> 00:24:24,800
+أحسب الـ information gain أو الـ entropy لكل الـ data
+
+336
+00:24:24,800 --> 00:24:29,260
+set، ممتاز، عشان أحسب الـ entropy لكل الـ data set
+
+337
+00:24:29,260 --> 00:24:33,540
+بنذكر، قلنا هو عبارة عن الـ summation، سالب واحد في
+
+338
+00:24:33,540 --> 00:24:40,160
+الـ summation في probability للـ I في log لـ الـ P I
+
+339
+00:24:40,160 --> 00:24:43,960
+الـ probability للـ I، وإيش قلنا؟ هاي الـ class، والـ I
+
+340
+00:24:43,960 --> 00:24:46,920
+بيتساوى من واحد لعدد الـ classes اللي موجودة
+
+341
+00:24:46,920 --> 00:24:51,360
+حسب الـ data set اللي موجودة عندها، حسب الـ data set
+
+342
+00:24:51,360 --> 00:24:53,900
+اللي موجودة عندها، أنا في عندي two different
+
+343
+00:24:53,900 --> 00:24:58,680
+classes، only two different classes only، اللي هم
+
+344
+00:24:58,680 --> 00:25:05,940
+yes و no، حجم الـ data set كله جداش يا جماعة الخير؟ 14
+
+345
+00:25:05,940 --> 00:25:11,280
+عدد الـ yes 9، معناته الـ probability تبعتها 9 على 14
+
+346
+00:25:13,570 --> 00:25:18,130
+الـ Probability للـ Yes 9 على 14، طب عدد الـ No
+
+347
+00:25:18,130 --> 00:25:24,810
+بجيتها 5، 5 على 14، هي الاحتمالية تبعتها 5 على 14
+
+348
+00:25:24,810 --> 00:25:31,190
+وبالهيك أنا حصلت على أول خطوة، اللي هي عرفت الـ
+
+349
+00:25:31,190 --> 00:25:34,790
+probability تبعت لـ classes اللي موجودة عندي، اللي
+
+350
+00:25:34,790 --> 00:25:37,570
+هي الـ probability للـ yes و الـ probability للـ no
+
+351
+00:25:37,570 --> 00:25:40,030
+الخطوة التالية اللي المفروض أن أنا أشتغل عليها
+
+352
+00:25:40,030 --> 00:25:43,410
+الآن، أن أنا بدي أروح أحسب الـ information أو الـ
+
+353
+00:25:43,410 --> 00:25:48,210
+entropy تبعتي، بالمعادلة التالية، الـ information
+
+354
+00:25:48,210 --> 00:25:57,610
+هنرمزلها للـ I للـ data set تبعتي، تساوي تساوي
+
+355
+00:25:59,800 --> 00:26:04,940
+I، تسعة وكما خمسة، تسعة وخمسة، هدول هم الأربعة عشر
+
+356
+00:26:04,940 --> 00:26:07,660
+تبعوتي يا جماعة الخير، الآن، هي القانون تبع الـ
+
+357
+00:26:07,660 --> 00:26:12,580
+information، هيه بيلزمني فيها أن أعرف الـ
+
+358
+00:26:12,580 --> 00:26:16,020
+probability للـ yes و الـ probability للـ no، وهذا
+
+359
+00:26:16,020 --> 00:26:24,260
+الكلام يساوي، ما قص مضروبة فيه كام class؟ and two
+
+360
+00:26:24,260 --> 00:26:27,790
+class، هيهم هدول، لو كانوا تلاتة هيكونوا تلاتة، لو
+
+361
+00:26:27,790 --> 00:26:32,130
+أربعة هيكونوا أربعة، إلى آخره، مع كل واحدة فيهم، الآن
+
+362
+00:26:32,130 --> 00:26:36,270
+تسعة على أربعة عشر، هي تبعت الـ class الأول اللي
+
+363
+00:26:36,270 --> 00:26:42,030
+بين جثين، إحنا قلنا الـ yes مضروبة في الـ binary
+
+364
+00:26:42,030 --> 00:26:48,970
+logarithm للتسعة على أربعة عشر، مجموعة لهم مجموعة
+
+365
+00:26:48,970 --> 00:26:54,010
+الخمسة تبعتها، الخمسة تبعت الـ no، خمسة على أربعة عشر
+
+366
+00:26:54,010 --> 00:27:01,670
+مضروبة في الـ logarithm، الـ binary logarithm، الخمسة
+
+367
+00:27:01,670 --> 00:27:07,950
+على أربعة عشر، هذا الـ gain تبعت كل الـ data set
+
+368
+00:27:07,950 --> 00:27:11,230
+توزيعت الـ data set عندي على two classes، تذكر كمان
+
+369
+00:27:11,230 --> 00:27:17,750
+مرة واحدة، اتنين، تلاتة، أربعة، خمسة no، خمسة من أربعة
+
+370
+00:27:17,750 --> 00:27:21,290
+عشر، معناته عندي تسعة yes، والآن قولنا، هي قانونهم
+
+371
+00:27:21,290 --> 00:27:25,670
+قانون الـ information أو الـ gain، عفوا، الـ entropy للـ
+
+372
+00:27:25,670 --> 00:27:30,730
+data set هي عبارة عن سالب واحد مضروبة في مجموع لـ
+
+373
+00:27:30,730 --> 00:27:35,410
+probability لكل class مضروبة في الـ log لـ log لـ
+
+374
+00:27:35,410 --> 00:27:38,650
+probability لكل class، فأنا هنا حسبت المعادلة اللي
+
+375
+00:27:38,650 --> 00:27:40,670
+موجودة عندي، هتظهر من خلال
+
+376
+00:27:43,770 --> 00:27:51,650
+سلايد هنا، وهذه
+
+377
+00:27:51,650 --> 00:27:59,370
+قيمتها 0.94 أو أربعة وتسعين من مية، هذه
+
+378
+00:27:59,370 --> 00:28:03,130
+ثابتة هتكون لكل الـ data set، لكل training set اللي
+
+379
+00:28:03,130 --> 00:28:06,830
+أنا ببني عليها الـ model، ممتاز، أنا مشيت أول خطوة في
+
+380
+00:28:06,830 --> 00:28:12,030
+الحل، الخطوة التالية أن أنا فعليا بدي أروح، أي اتنين
+
+381
+00:28:16,020 --> 00:28:22,480
+أبدأ أحسب الـ information لكل attribute موجود في الـ
+
+382
+00:28:22,480 --> 00:28:28,200
+data set، لكل attribute؟ صحيح، فهأخد أحسب الـ intro
+
+383
+00:28:28,200 --> 00:28:33,140
+بالإن أو الـ information gain للـ age، وأحسب الـ
+
+384
+00:28:33,140 --> 00:28:39,490
+information Gain للـ income، للـ student، للـ credit
+
+385
+00:28:39,490 --> 00:28:45,670
+rating، وهكذا، خليني أنا أبدأ معاكم وأذكركم أن
+
+386
+00:28:45,670 --> 00:28:48,670
+أنا فعليا بحسب الـ information gain للـ attribute
+
+387
+00:28:52,790 --> 00:28:56,270
+تبع على الـ data set اللي موجودة عندها، لأن الـ
+
+388
+00:28:56,270 --> 00:28:59,750
+summation على عدد الـ partitions، الـ summation، الـ V
+
+389
+00:28:59,750 --> 00:29:02,830
+زي ما قلنا قبل شوية، هيها، اللي هي عدد الـ partitions
+
+390
+00:29:02,830 --> 00:29:08,650
+اللي عندها، number of partitions، حجم
+
+391
+00:29:08,650 --> 00:29:12,850
+الـ partition للـ data set، عدد عناصر الـ partition
+
+392
+00:29:12,850 --> 00:29:16,290
+على عدد عناصر الـ data set، ratio، احتمال ولا لأ؟
+
+393
+0
+
+445
+00:34:25,000 --> 00:34:30,520
+لهاي وهد اللي المفروض تساوي ناقص مضروبة فيه ثلاثة
+
+446
+00:34:30,520 --> 00:34:37,040
+على خمسة في الـ log أيوة جداش في الـ binary log صحيح
+
+447
+00:34:37,040 --> 00:34:43,800
+ثلاثة على خمسة زائد اثنين على خمسة في الـ log اثنين على
+
+448
+00:34:43,800 --> 00:34:49,600
+خمسة هذه الـ intro بالأولى هذه جمعة الخير صفر ليش
+
+449
+00:34:49,600 --> 00:34:59,080
+ناقص أربعة على خمسة أربعة على خمسة أربعة على خمسة
+
+450
+00:34:59,080 --> 00:35:07,160
+أربعة على أربعة sorry أربعة على أربعة في الـ log الـ
+
+451
+00:35:07,160 --> 00:35:13,210
+binary للـ أربعة على أربعة اللي هي واحد صفر زائد صفر
+
+452
+00:35:13,210 --> 00:35:21,090
+على أربعة في الـ log صفر على أربعة ومن ثم القيمة هذه
+
+453
+00:35:21,090 --> 00:35:24,430
+هتروح عندي وهذه هي نفس اللي فوق بس مع تغيير الـ
+
+454
+00:35:24,430 --> 00:35:30,110
+terms اللي موجودة عندها بنفس الحسبة وبالتالي أنا
+
+455
+00:35:30,110 --> 00:35:33,450
+حسبتها في الجدول فطلعت معايا هيها
+
+456
+00:35:39,160 --> 00:35:43,280
+خلصت؟ لأ لسه مخلصش بقال علي خطوة واحدة عشان أعرف
+
+457
+00:35:43,280 --> 00:35:51,340
+أن الـ gain تبعت الـ age جداش بدي أروح أقوله الـ gain
+
+458
+00:35:51,340 --> 00:35:56,140
+تبعت الـ data set اللي كلها اللي هي جمع الـ i للتسعة
+
+459
+00:35:56,140 --> 00:36:02,380
+وخمسة حسبناها point تسعة أربعة صفر في الـ slide
+
+460
+00:36:02,380 --> 00:36:03,020
+السادق هي
+
+461
+00:36:06,330 --> 00:36:10,670
+لما حسبناها هنا لكل الـ data set الـ gain أو الـ
+
+462
+00:36:10,670 --> 00:36:13,470
+intro لكل الـ data set حسبت الآن الـ intro لـ الـ age
+
+463
+00:36:13,470 --> 00:36:19,210
+هيها الآن الخطوة اللي هشتغل عليها أنه بدي أجيب الـ
+
+464
+00:36:19,210 --> 00:36:23,510
+information gain لكل واحد فيهم طبعا المفروض أنا
+
+465
+00:36:23,510 --> 00:36:27,350
+ممكن أشتغل الخطوة هاي تباعا أجرّح أقوله مباشرة الآن
+
+466
+00:36:27,350 --> 00:36:35,550
+الـ information gain للـ age تساوي
+
+467
+00:36:36,360 --> 00:36:40,700
+أو الـ Gain للـ Age تساوي الـ Entropy لكل الـ data
+
+468
+00:36:40,700 --> 00:36:46,120
+set ناقص الـ Entropy تبع الـ Age الـ
+
+469
+00:36:46,120 --> 00:36:53,940
+Gain للـ Age تساوي الـ Entropy للـ data set 0.94 ناقص
+
+470
+00:36:53,940 --> 00:37:02,900
+الـ Entropy لـ الـ Age اللي موجود عندي 0.694 تساوي طبعا
+
+471
+00:37:02,900 --> 00:37:06,620
+ممكن تشتغل الخطوة التالية تشتغل مع الـ income بنفس
+
+472
+00:37:06,620 --> 00:37:09,200
+الـ concept الـ income في عندي برضه .. برضه هنا في
+
+473
+00:37:09,200 --> 00:37:12,420
+عندي three different values الـ income في عندي
+
+474
+00:37:12,420 --> 00:37:16,340
+three different values high و medium و low
+
+475
+00:37:16,340 --> 00:37:19,840
+توزيعتهم بنفس الكيفية وبحسب الـ entropy لـ الـ yes و
+
+476
+00:37:19,840 --> 00:37:28,780
+الـ no وهكذا هي حسبت الـ entropy لـ الـ ..Informat ..
+
+477
+00:37:28,780 --> 00:37:32,880
+للـ income الـ intro بي لـ الـ student الـ intro بي لـ
+
+478
+00:37:32,880 --> 00:37:39,660
+مين لـ الـ credit rating الآن خطوة تالية هروح أحسب
+
+479
+00:37:39,660 --> 00:37:45,500
+الـ information gain أو الـ gain تبعت الـ age و الـ
+
+480
+00:37:45,500 --> 00:37:50,660
+gain تبعت هنا في slides مفقودة المفروض أنا شكلي
+
+481
+00:37:50,660 --> 00:37:54,420
+نسيتها أو ما شابه لأ هي نفس الـ .. okay بس مش مفصلة
+
+482
+00:37:54,420 --> 00:38:01,550
+فحسبت الـ gain للـ age الـ gain للـ age هي
+
+483
+00:38:01,550 --> 00:38:08,250
+عبارة عن الـ entropy لكل الـ data 0.694 ناقص الـ
+
+484
+00:38:08,250 --> 00:38:13,450
+entropy تبعت الـ age اللي هي 0.694 من الألف وهيكون
+
+485
+00:38:13,450 --> 00:38:19,370
+الفرق بينهم 0.246 من الألف و روحت حسبت الـ income أو الـ
+
+486
+00:38:19,370 --> 00:38:25,090
+gain للـ income الـ gain للـ student و الـ gain للـ
+
+487
+00:38:25,090 --> 00:38:29,630
+credit rating لاحظ الـ credit rating أقل ما يمكن
+
+488
+00:38:29,630 --> 00:38:36,270
+أقل أصغر واحدة من العناصر الموجودة عندي أقل
+
+489
+00:38:36,270 --> 00:38:40,830
+واحدة مع الـ income مالهاش كان لهاش أقل تأثيرا
+
+490
+00:38:42,420 --> 00:38:47,460
+الفكرة أن أنا بدي أروح آخذ أو بدي أعمل split على
+
+491
+00:38:47,460 --> 00:38:56,160
+الـ maximum gain للـ attributes مين
+
+492
+00:38:56,160 --> 00:39:05,760
+الـ maximum؟ هي لأن 0.246 من 1000 أكبر من أكبر قيمة
+
+493
+00:39:05,760 --> 00:39:09,680
+موجودة فيهم اللي هي هنا مع الـ student وهذا بتعطيني
+
+494
+00:39:09,680 --> 00:39:12,040
+إشارة أن ممكن الـ student تكون هي الـ next element
+
+495
+00:39:12,040 --> 00:39:14,920
+اللي أنحمل عليه splitting لكن مش قضيتي في الآخر
+
+496
+00:39:14,920 --> 00:39:26,420
+أنا هاي الآن الآن الـ data set هرجع لها الـ
+
+497
+00:39:26,420 --> 00:39:30,660
+data set الآن هنعملها partitioning هي الـ data set
+
+498
+00:39:30,660 --> 00:39:37,180
+كيف الـ partition تبعتي؟ بيبقى إنه قال لي أن الـ age
+
+499
+00:39:37,180 --> 00:39:43,030
+هي هتكون الأساس كل الـ rows المحاطة باللون الأحمر هذه
+
+500
+00:39:43,030 --> 00:39:49,510
+أو بين قوسين تبعت الـ youth هتمثل
+
+501
+00:39:49,510 --> 00:39:56,030
+one data set خمسة
+
+502
+00:39:56,030 --> 00:40:00,950
+rows تمام؟
+
+503
+00:40:00,950 --> 00:40:05,930
+بعد هيك الـ middle age لحالهم اللي باللون الأزرق
+
+504
+00:40:05,930 --> 00:40:07,010
+عمالي بأحوط عليهم
+
+505
+00:40:15,180 --> 00:40:19,840
+هدولة أربعة .. أربعة وضلوا الـ senior العناصر
+
+506
+00:40:19,840 --> 00:40:23,460
+الباقية يعني بين قوسين أن الـ data set بقى هتنجسم
+
+507
+00:40:23,460 --> 00:40:28,020
+الآن بعد ما أخدت الـ root أنا هيها بقول الـ age هي
+
+508
+00:40:28,020 --> 00:40:32,220
+الأساس لأن هي صاحبة الأكبر gain هيها فبدي أجسم الـ
+
+509
+00:40:32,220 --> 00:40:35,000
+data set بقى للـ three values اللي موجودة عندي يعني
+
+510
+00:40:35,000 --> 00:40:38,940
+الـ youth و الـ middle age و الـ senior ممتاز
+
+511
+00:40:44,580 --> 00:40:48,980
+جسمناهم هذه الـ data set اللي موجودة عندي الآن على
+
+512
+00:40:48,980 --> 00:40:54,480
+السريع شو هروح أساوي هاخد كل data set لأن لاحظ أن
+
+513
+00:40:54,480 --> 00:40:56,040
+عمود الـ student اختفت
+
+514
+00:40:58,670 --> 00:41:03,170
+عمود الـ age اختفت ..عمود الـ age اختفت ..الآن كل
+
+515
+00:41:03,170 --> 00:41:08,270
+واحدة من الـ data set هشتغل عليها بشكل مستقل لحد ما
+
+516
+00:41:08,270 --> 00:41:13,150
+أحقق واحد من الشروط الثلاثة أما فعليا كل الـ
+
+517
+00:41:13,150 --> 00:41:17,690
+attributes أو كل الـ symbols تنتمي لنفس الـ class أو
+
+518
+00:41:17,690 --> 00:41:21,290
+ما ضلش فيه عندي more attributes أنا جسمها أو ما ضلش
+
+519
+00:41:21,290 --> 00:41:24,450
+فيه عندي rows بعد هيك يعني بين قوسين حاجة هنا الآن
+
+520
+00:41:24,450 --> 00:41:28,890
+وهشتغل عليها بشكل مستقل هذه الآن new data set
+
+521
+00:41:28,890 --> 00:41:34,490
+هأحسب لها information لمين؟ هذه كلها خمس عناصر اثنين
+
+522
+00:41:34,490 --> 00:41:39,330
+وثلاثة هذه الـ information اللي أديه كلها الـ ID
+
+523
+00:41:39,330 --> 00:41:42,630
+تبعتي I
+
+524
+00:41:43,610 --> 00:41:49,410
+ثلا .. اثنين للـ yes وثلاثة للـ no وهذا يساوي سالب في
+
+525
+00:41:49,410 --> 00:41:55,770
+مجموع .. في مجموع أو بلاش نحط المجموع هيها اثنين
+
+526
+00:41:55,770 --> 00:42:02,790
+على خمسة في الـ log اثنين على خمسة زائد ثلاثة على خمسة
+
+527
+00:42:02,790 --> 00:42:09,060
+في الـ log ثلاثة على خمسة هذه المعلومات لكل الـ data set
+
+528
+00:42:09,060 --> 00:42:12,940
+هذه as all ممتاز الآن كم attribute موجود عندي؟
+
+529
+00:42:12,940 --> 00:42:16,060
+عندي three different attributes عندي الـ income و
+
+530
+00:42:16,060 --> 00:42:19,500
+عندي الـ age عفوا الـ student و الـ credit rating
+
+531
+00:42:19,500 --> 00:42:23,640
+هروح أحسب الـ information لمين؟ هروح أبدأ أبني
+
+532
+00:42:23,640 --> 00:42:27,500
+الجدول الآن للـ attribute الأول مش اتفقنا هيك هشتغل
+
+533
+00:42:27,500 --> 00:42:31,360
+مع كل جدول على السريع أنا هشتغل بس مع هذه والخطوة
+
+534
+00:42:31,360 --> 00:42:34,900
+الثانية حاططها للباقية حاططها كواجب الآن
+
+535
+00:42:37,170 --> 00:42:42,950
+مع العمود الأول الـ income قلت
+
+536
+00:42:42,950 --> 00:42:49,250
+الـ value تبعت الـ income بعد هيك في عندي الـ yes
+
+537
+00:42:49,250 --> 00:42:55,150
+وعندي الـ no وعندي الـ intro بلا الـ yes والـ no بناء
+
+538
+00:42:55,150 --> 00:42:59,090
+على العدد اللي موجود عندي وبالتالي كم value موجود
+
+539
+00:42:59,090 --> 00:43:05,010
+عندي أنا هنا عندي low و medium و high هي
+
+540
+00:43:05,010 --> 00:43:05,290
+low
+
+541
+00:43:08,440 --> 00:43:16,120
+medium و high عد العناصر الموجودة مع بعضنا الآن مع
+
+542
+00:43:16,120 --> 00:43:24,500
+الـ low عندي قيمة واحدة فقط لمين بتنتمي للـ yes واحد
+
+543
+00:43:24,500 --> 00:43:33,560
+yes وهنا صفر معناته الـ entropy لواحد وصفر آجي
+
+544
+00:43:33,560 --> 00:43:35,780
+لـ الـ medium medium عندي اثنين
+
+545
+00:43:43,250 --> 00:43:50,310
+واحد yes وواحد no معناته entropy لواحد وواحد وضل
+
+546
+00:43:50,310 --> 00:43:53,950
+في عندي high اثنين وبينتموا لنفس الـ class
+
+547
+00:43:53,950 --> 00:43:59,710
+معناته صفر واثنين entropy لصفر واثنين وهذا بذكر أن
+
+548
+00:43:59,710 --> 00:44:03,650
+هذا القانون السابق اللي اعتمدت عليه حصل بحسب الـ
+
+549
+00:44:03,650 --> 00:44:08,810
+gain الآن أو بحسب الـ information للـ attribute اللي
+
+550
+00:44:08,810 --> 00:44:15,860
+موجود عندي من خلال الـ summation كمان مرة عدد الـ
+
+551
+00:44:15,860 --> 00:44:21,840
+data set زي ما قلنا جداش جمعة الخير خمسة الآن
+
+552
+00:44:21,840 --> 00:44:31,420
+واحد على خمسة في الـ I واحد وصفر زائد هذه الـ
+
+553
+00:44:31,420 --> 00:44:40,050
+information اثنين على خمسة في الـ I واحد وواحد زائد
+
+554
+00:44:40,050 --> 00:44:49,530
+اثنين على خمسة اثنين على خمسة صحيح اثنين على خمسة
+
+555
+00:44:49,530 --> 00:44:58,530
+في الـ I صفر
+
+556
+00:44:58,530 --> 00:45:04,690
+واثنين بحصل على الـ information gain اللي موجود
+
+557
+00:45:04,690 --> 00:45:12,160
+عندي هنا بعد هيك بقوله الـ gain تبعت الـ income هتمثل
+
+558
+00:45:12,160 --> 00:45:21,900
+الـ I اللي عندي فوق ناقص الـ I للـ income اللي
+
+559
+00:45:21,900 --> 00:45:28,380
+موجودة عندها هأحسبها وبالتالي بأحسب لهذه وبأحسب للـ
+
+560
+00:45:28,380 --> 00:45:31,780
+العناصر
+
+561
+00:45:31,780 --> 00:45:37,640
+اللي موجودة عندي تماما للـ student بعيد الكرة و للـ
+
+562
+00:45:37,640 --> 00:45:41,780
+credit rating وصاحب الـ attribute صاحب أكبر gain
+
+563
+00:45:41,780 --> 00:45:46,480
+هو اللي حيكون فعليا أنا هأعتمد وين في الـ .. في
+
+564
+00:45:46,480 --> 00:45:49,740
+الرسمة أو في الـ decision node التالية حسب الحسبة
+
+565
+00:45:49,740 --> 00:45:54,200
+تبعتي حسبناها سابقا لازم أنتم تكملوها للاخر حسب
+
+566
+00:45:54,200 --> 00:45:57,740
+الحسبة تبعتي الـ student حصلت أعلى gain الـ student
+
+567
+00:45:57,740 --> 00:46:02,680
+تبعتي حصلت أعلى gain وبالتالي أنا الآن هنا هأصير
+
+568
+00:46:02,680 --> 00:46:07,260
+في عندي الـ student هي الـ Internal node الجاية وفيها
+
+569
+00:46:07,260 --> 00:46:13,680
+two different values هأقسم الـ data set بعد هيك هأقسم
+
+570
+00:46:13,680 --> 00:46:16,860
+الـ data set تبعا للـ nodes اللي موجودة عندي هيك و
+
+571
+00:46:16,860 --> 00:46:20,960
+بهيك صارت كل الـ nodes تنتمي لنفس الـ class كل الـ
+
+572
+00:46:20,960 --> 00:46:24,620
+samples تنتمي لنفس الـ class فهنا بوقف هذه already
+
+573
+00:46:24,620 --> 00:46:28,260
+كلها تنتمي لنفس الـ class فأنا وقفت هنا ووقفت هنا
+
+574
+00:46:28,260 --> 00:46:31,540
+هتكون الـ final tree تبعتي طبعا هي الحسبة اللي
+
+575
+00:46:31,540 --> 00:46:36,430
+عندناها مرة ثانية أنا في الآخر الـ Tree تبعتي أحصل
+
+576
+00:46:36,430 --> 00:46:40,330
+عليها اللي إحنا شفناها مسبقا المفروض قبل ما يبدأ
+
+577
+00:46:40,330 --> 00:46:50,130
+بالشغل اللي هي هذه الـ income ما بينتش عندي لأن
+
+578
+00:46:50,130 --> 00:46:54,770
+فعليا وزنها كان لا يذكر مقارنة بالـ data set ولما
+
+579
+00:46:54,770 --> 00:46:57,570
+أنا ما ضلش عندي rows أو ما ضلش عندي sample أروح
+
+580
+00:46:57,570 --> 00:47:01,650
+أجسمها الآن عشان
+
+581
+00:47:02,490 --> 00:47:06,390
+ما نطولش عليكم بعد ما حسبنا العناصر اللي موجودة
+
+582
+00:47:06,390 --> 00:47:11,430
+عندها في الـ continuous attributes في حالة الـ
+
+583
+00:47:11,430 --> 00:47:14,470
+attributes اللي عندك continuous attribute إيش الحل؟
+
+584
+00:47:14,470 --> 00:47:19,610
+اعمل discretization اعملها categories جسمها لفئات
+
+585
+00:47:19,610 --> 00:47:22,830
+استخدم الـ binning و أعطي label لكل bin و اشتغل
+
+586
+00:47:22,830 --> 00:47:28,710
+عليها بتكاشي اشتغل عليك في حل بسيط جدا الحل بيقولك
+
+587
+00:47:28,710 --> 00:47:33,760
+رتب الـ data set تبعا للـ items اللي موجودة عندك رتب
+
+588
+00:47:33,760 --> 00:47:38,260
+الـ items تمام فصارت الـ data sorted إن في حال كانت
+
+589
+00:47:38,260 --> 00:47:43,260
+عندي الـ age عبارة عن number صار عندي خمسة وعشرين و
+
+590
+00:47:43,260 --> 00:47:48,780
+ثلاثين سبعة وثلاثين أربعين الآن أنت بقى
+
+591
+00:47:48,780 --> 00:47:55,500
+تيجي تفحص بين كل two nodes يعني هتأخذ
+
+592
+00:47:55,500 --> 00:48:00,200
+الـ midpoint اللي بين هدول الاثنين أو الأسهل لك
+
+593
+00:48:01,200 --> 00:48:03,600
+فعلا هي عبارة عن Discretization لكنها Binary
+
+594
+00:48:03,600 --> 00:48:07,780
+Discretization مع الأرقام أنت إيش المقارنات تبعتك؟
+
+595
+00:48:07,780 --> 00:48:12,460
+أما هتقول لي أقل إذا قلت أقل من كده فهي أكبر أو
+
+596
+00:48:12,460 --> 00:48:16,340
+تساوي كده إذا قلت أكبر من أكبر من أو تساوي كده
+
+597
+00:48:16,340 --> 00:48:19,280
+فهي أقل من كده عكسها تماما فحيكون بشغل عليها مع
+
+598
+00:48:19,280 --> 00:48:23,080
+binary يعني بين قوسين بصير بأخذ decision هنا بقوله
+
+599
+00:48:23,080 --> 00:48:30,500
+أقل أو تساوي خمسة وعشرين طب ما هي خمسة وعشرين باجي هنا
+
+600
+00:48:33,210 --> 00:48:39,230
+أقل أو تساوي ثلاثين  معتبر هدول في partitions و
+
+601
+00:48:39,230 --> 00:48:42,190
+هدول في partitions مع الـ continuous attributes إذا
+
+602
+00:48:42,190 --> 00:48:45,830
+أنت بدك تشتغل مع الـ continuous values معناته أنت
+
+603
+00:48:45,830 --> 00:48:49,990
+هيكون في عندك too many partitions لحد ما تصل لـ
+
+604
+00:48:49,990 --> 00:48:55,300
+best point اللي بتعمل split يعني هأحسب الآن الجسم
+
+605
+00:48:55,300 --> 00:48:58,920
+كده كانت هنا ولا لما كانوا اثنين وثلاثة ولما
+
+606
+00:48:58,920 --> 00:49:03,160
+كانوا ثلاثة واثنين وأجرب كلهم وآخذ أعلى gain
+
+607
+00:49:03,160 --> 00:49:06,900
+فيهم لأن في الآخر أنا بدور على الـ gain لكل الـ data
+
+608
+00:49:06,900 --> 00:49:12,320
+set تبعتي اللي موجودة عندي هنا الآن هدف الموضوع الـ
+
+609
+00:49:12,320 --> 00:49:15,810
+splitting للـ continuous values لكن الـ Information
+
+610
+00:49:15,810 --> 00:49:21,330
+Gain دائما بيحاز للـ attributes أو للـ test اللي
+
+611
+00:49:21,330 --> 00:49:25,230
+بيكون فيها two أو فيها many outcomes اللي فيها
+
+612
+00:49:25,230 --> 00:49:30,490
+values كثيرة عشان هي كانت في الأول عندي الـ age
+
+613
+00:49:30,490 --> 00:49:33,190
+كانت هي أكثر الـ values اللي موجودة جالك ممكن إحنا
+
+614
+00:49:33,190 --> 00:49:37,070
+نحَل هذه المشكلة ونعتمد أو نحاول نقضي على موضوع
+
+615
+00:49:37,070 --> 00:49:39,930
+إنحياز الـ values الكثيرة اللي هو موضوع الـ gain
+
+616
+00:49:39,930 --> 00:49:43,500
+ratio الـ Gain Ratio فكرتها يا جماعة الخير أنه أنا
+
+617
+00:49:43,500 --> 00:49:48,240
+بدي أروح أحسب الـ split info إحنا سابقا كانت هذه
+
+618
+00:49:48,240 --> 00:49:52,240
+القيمة موجودة عندنا هي عدد عناصر الـ partition على
+
+619
+00:49:52
+
+667
+00:53:11,450 --> 00:53:15,430
+موجود عندي آخر خطوة أو آخر slide في الموضوع
+
+668
+00:53:15,430 --> 00:53:18,630
+كيف بدي أستدعيها، الخطوات السابقة في الـ python نفسها؟
+
+669
+00:53:18,630 --> 00:53:22,590
+from sklearn.tree import DecisionTreeClassifier
+
+670
+00:53:24,140 --> 00:53:27,880
+النموذج الـ Decision Tree Classifier عملت له fit
+
+671
+00:53:27,880 --> 00:53:31,720
+قلت له، وهذه الجزئية في السطر هذا، بتبني الشجرة.
+
+672
+00:53:31,720 --> 00:53:36,500
+الآن الـ
+
+673
+00:53:36,500 --> 00:53:39,340
+sample test نفسها، لأنها شغالة، نفس الشيء، بدنا نجربها معاكم من
+
+674
+00:53:39,340 --> 00:53:44,060
+البداية. جربتها مع الـ kenia sniper، وجربتها مع الـ naive
+
+675
+00:53:44,060 --> 00:53:48,840
+بايز. بروح تعمل الـ test، وهنحدد  setosa بكل
+
+676
+00:53:48,840 --> 00:53:53,600
+تأكيد، وبهيك بنكون إحنا فعلياً انتهينا من موضوع الـ
+
+677
+00:53:53,600 --> 00:53:57,040
+Decision Tree لمحاضرتنا اليوم. المطلوب منكم
+
+678
+00:53:57,040 --> 00:53:59,500
+تجربوا يا جماعة الخير، في عندنا different data set
+
+679
+00:53:59,500 --> 00:54:02,780
+موجودة في الـ slide سابقاً. جربوا الكلام هذا عليها، و
+
+680
+00:54:02,780 --> 00:54:05,000
+جربوا الكلام هذا عليها، يعني بينتج سيناريو
+
+681
+00:54:05,000 --> 00:54:08,470
+هذا الكلام مش هتتقنوه من مرة واثنتين وثلاث، الشغل
+
+682
+00:54:08,470 --> 00:54:12,130
+التاني اللي بدي إياه منكم، بعد تجريب العمل يبدو
+
+683
+00:54:12,130 --> 00:54:15,730
+تعتبروها كـ assignment عليكم. الآن، يبدو تروح تفكروا
+
+684
+00:54:15,730 --> 00:54:18,570
+أو تدوروا لي كيف ممكن أنا، إذا كانت هذه عبارة عن الـ
+
+685
+00:54:18,570 --> 00:54:21,930
+tree، بعد ما أنا عملت لها fit، هل في مجال أرسم الـ tree
+
+686
+00:54:21,930 --> 00:54:25,690
+بتاعتها بالبايثون؟ اه، في مجال، وهذه متروكة لكم. والسلام
+
+687
+00:54:25,690 --> 00:54:27,470
+عليكم ورحمة الله وبركاته
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..f3888fe18ffcd679c566e1175b6a61563737f426
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/URknbds3fEY_raw.srt
@@ -0,0 +1,2752 @@
+1
+00:00:04,940 --> 00:00:07,280
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,280 --> 00:00:12,260
+أهلا وسهلا فيكم في محاضرتنا المستمر .. في
+
+3
+00:00:12,260 --> 00:00:15,740
+محاضراتنا المستمرة في مساق ال data mining وما زلنا
+
+4
+00:00:15,740 --> 00:00:20,980
+بنتكلم في باب ال classification و بالتحديد هنتكلم
+
+5
+00:00:20,980 --> 00:00:24,660
+اليوم على decision tree induction كنا في المحاضرات
+
+6
+00:00:24,660 --> 00:00:27,540
+السابقة أو المحاضرة الأخيرة أضفنا شغلة جديدة كنا
+
+7
+00:00:27,540 --> 00:00:31,040
+بنتكلم على النايف بياسوالـ Naive bias كانت فعليًا
+
+8
+00:00:31,040 --> 00:00:34,320
+هي واحدة من الـ Probabilistic approach المستخدمة
+
+9
+00:00:34,320 --> 00:00:36,800
+في ال machine learning من أجل ال classification
+
+10
+00:00:36,800 --> 00:00:41,680
+وقلنا احنا بيلزمني ان اعمل حسبة لمجموعة من ال
+
+11
+00:00:41,680 --> 00:00:44,300
+probabilities انا في عند ال instance اللي بدي ..
+
+12
+00:00:44,300 --> 00:00:46,600
+اللي هي ال unseen instance اللي انا بدي اعملها
+
+13
+00:00:46,600 --> 00:00:50,440
+classification بناء على ال .. وبالتالي ال class
+
+14
+00:00:50,440 --> 00:00:54,380
+طبعة ال instance هاي الموجودة عندى تساوي ال
+
+15
+00:00:54,380 --> 00:00:58,370
+maximum probabilityلل probabilities of the class
+
+16
+00:00:58,370 --> 00:01:05,470
+في احتمالية ان تكون ال instance هذه مع ال class
+
+17
+00:01:05,470 --> 00:01:10,110
+المعين و لما هروحنا بالتفصيل قلت انا فعليا بحاجة
+
+18
+00:01:10,110 --> 00:01:14,070
+انه هي data set اروح انشئ الجدول هذا بحيث انه انا
+
+19
+00:01:14,070 --> 00:01:18,550
+فالأروح حسبت ال probability لكل element أو لكل
+
+20
+00:01:18,550 --> 00:01:21,770
+classes اللي موجودة عندى ومن ثم انتقلنا في الخطوة
+
+21
+00:01:21,770 --> 00:01:24,910
+اللي بعدها جسمت أخدت ال attributes اللي المفروض
+
+22
+00:01:24,910 --> 00:01:27,370
+اللي المفروض عندها nominal attributes أخدت
+
+23
+00:01:27,370 --> 00:01:30,950
+distinct values وعملت حساب لكل واحدة فيهم وانتبه
+
+24
+00:01:30,950 --> 00:01:35,520
+دائما وانتبه دائما ان انا فعليا هان قاعد باشتغلعلى
+
+25
+00:01:35,520 --> 00:01:38,840
+ان ال probability نفسها يعني الآن عدد ال yes في ال
+
+26
+00:01:38,840 --> 00:01:42,880
+data 6 اللي عندي هنا 4 على 10 ومن ثم مع كل route
+
+27
+00:01:42,880 --> 00:01:48,400
+او كل attribute تحت ال yes هيكون 4 وكل مجموع
+
+28
+00:01:48,400 --> 00:01:51,920
+العناصر تحت كل no هيكون 6 و هكذا و هذا مفتاح
+
+29
+00:01:51,920 --> 00:01:56,510
+النجاح للعناصر الموجودة و لما اجينا بدنا نصنفالـ
+
+30
+00:01:56,510 --> 00:01:59,230
+sunny و ال mild و ال height قلنا حسبت ال
+
+31
+00:01:59,230 --> 00:02:01,670
+probability لل yes اللي كانت 4 على 10 في ال
+
+32
+00:02:01,670 --> 00:02:04,690
+probability لل sunny على ال yes و قلنا هذا الجدول
+
+33
+00:02:04,690 --> 00:02:07,810
+الأساس في الموضوع هي sunny و yes هيها 4 على 10
+
+34
+00:02:07,810 --> 00:02:12,530
+مضروبة فيه العنصر التاني كانت mild ال probability
+
+35
+00:02:12,530 --> 00:02:17,190
+تبعت ال mild يعني بين جسين هي ال yes ها دي مضروبة
+
+36
+00:02:17,190 --> 00:02:22,410
+في هيفي الـ mild في الـ high وهذه العناصر كانت
+
+37
+00:02:22,410 --> 00:02:25,050
+بتمثل ال probability فانا حسبت ال probability لل
+
+38
+00:02:25,050 --> 00:02:27,850
+different classes اللي موجودة عندى واخدت ال
+
+39
+00:02:27,850 --> 00:02:31,810
+maximum probability على ان هذه هي الاكتر احتمالا
+
+40
+00:02:31,810 --> 00:02:36,090
+في موضوع ان هذا العنصر او هذه ال instance تنتمي لل
+
+41
+00:02:36,090 --> 00:02:40,850
+class اللي موجود عندها الان اليوم ان شاء الله
+
+42
+00:02:40,850 --> 00:02:45,620
+تعالى هننتقلالموضوع الجديد اللي هو موضوع ال
+
+43
+00:02:45,620 --> 00:02:49,500
+decision tree في التعامل او ك different classifier
+
+44
+00:02:49,500 --> 00:02:53,300
+ال decision tree هي واحدة من ال classifiers المهمة
+
+45
+00:02:53,300 --> 00:02:57,200
+جدا المستخدمة في موضوع ال classification وهميتها
+
+46
+00:02:57,200 --> 00:03:00,840
+نبتكمن ان ممكن انا ارسم الشجرة وبالتالي بصير تفسير
+
+47
+00:03:00,840 --> 00:03:04,000
+ال model اللي موجود عندى او فهم ال model اللي عندى
+
+48
+00:03:04,000 --> 00:03:07,210
+اكثر منغيره على سبيل المثال احنا قولنا في ال
+
+49
+00:03:07,210 --> 00:03:10,610
+classifier الماضي اللي هو naive bias ان انا فعليا
+
+50
+00:03:10,610 --> 00:03:13,970
+عند ال classifier هذا مهم او جيد لأنه انا بقدر
+
+51
+00:03:13,970 --> 00:03:17,090
+افسر ليش النتيجة طلعت معايا هيك بناء انا على
+
+52
+00:03:17,090 --> 00:03:21,310
+الاحتمالات اللي موجودة في ال decision tree كذلكفي
+
+53
+00:03:21,310 --> 00:03:24,590
+decision tree هي عبارة عن انه انا فعليا حبني
+
+54
+00:03:24,590 --> 00:03:26,930
+decision tree جماعة الخير لما انا بتكلم على
+
+55
+00:03:26,930 --> 00:03:31,210
+decision tree اتذكروا خلينا نتذكر بشكل سريع ال
+
+56
+00:03:31,210 --> 00:03:34,930
+binary search tree مابديش اكتر من هيك ال binary
+
+57
+00:03:34,930 --> 00:03:38,490
+search tree كانت العناصر تبعتها انه كل node على
+
+58
+00:03:38,490 --> 00:03:43,580
+الاكثر عندها two childمظبوط هذه هي ال binary tree
+
+59
+00:03:43,580 --> 00:03:47,140
+وكان فيه rule بيحكمها ال rule انه انا في ال binary
+
+60
+00:03:47,140 --> 00:03:51,200
+search tree ان كل القيم اللي على اليمين هان هتكون
+
+61
+00:03:51,200 --> 00:03:55,570
+اكبرمن ال element وكل القيم اللي موجود عندها هن
+
+62
+00:03:55,570 --> 00:03:59,330
+هتكون أصغر طب القيم المتساوية مالهاش وجود المكررة
+
+63
+00:03:59,330 --> 00:04:02,830
+مالهاش وجود وبالتالي ال element مع كل node ال node
+
+64
+00:04:02,830 --> 00:04:05,690
+اللي عنده القيم اللي موجودة هن هتكون أصغر من القيم
+
+65
+00:04:05,690 --> 00:04:08,810
+اللي موجودة هن وهذه طبيعتها هتكون أصغر من القيم
+
+66
+00:04:08,810 --> 00:04:12,330
+اللي موجودة عندها بمعنى أخر أن ال structure تبع ال
+
+67
+00:04:12,330 --> 00:04:15,250
+decision tree أنا already بعرفها هي عبارة عن
+
+68
+00:04:15,250 --> 00:04:18,270
+مجموعة من ال nodes و ال connection أو ال connected
+
+69
+00:04:18,270 --> 00:04:22,790
+أو الgraph with no circuit زي ما كنا نسميها في الـ
+
+70
+00:04:22,790 --> 00:04:25,670
+discrete mathematics أشبه بالـ flow chart زي ما
+
+71
+00:04:25,670 --> 00:04:28,750
+قلنا سابقا في عند الـ internal node و اللي أنا
+
+72
+00:04:28,750 --> 00:04:32,150
+فعليا هي ال value تبعت .. هتمثل ال value تبعت ال
+
+73
+00:04:32,150 --> 00:04:35,490
+attribute اللي هحمل عليها الفحص هسأل قداش ال GPA
+
+74
+00:04:35,490 --> 00:04:40,550
+أكبر أو تساوي كذا بروح يمين أقل أو false بروح يسار
+
+75
+00:04:40,550 --> 00:04:45,090
+و هكذا فهذه ال internal node اللي هي عادة non-leaf
+
+76
+00:04:45,950 --> 00:04:49,790
+بتحدد ال test تبع ال attribute ال branch بيمثل ال
+
+77
+00:04:49,790 --> 00:04:53,210
+outcome وصولا لل leaf اللي موجودة عندى و ال leaf
+
+78
+00:04:53,210 --> 00:04:58,070
+node بتمثل ال class و طبعا لازم كل شجرة يكون لها
+
+79
+00:04:58,070 --> 00:05:03,690
+root node تعالى نشوف ال data set البسيطة اللى
+
+80
+00:05:03,690 --> 00:05:08,870
+موجودة عندها ال data set هاي مكونة من 14 rowالـ
+
+81
+00:05:08,870 --> 00:05:12,490
+Age و ال income و ال student و ال credit rating و
+
+82
+00:05:12,490 --> 00:05:15,710
+ال class تبعتي و طبعا جماعة الخير لما احنا بنروح
+
+83
+00:05:15,710 --> 00:05:20,610
+باتجاه ال binary class يعني two classes الأمر اللي
+
+84
+00:05:20,610 --> 00:05:23,690
+أسهل عشان استوعب إيش اللي بيصير لإنه لما تصير في
+
+85
+00:05:23,690 --> 00:05:26,430
+عندي تلاتة هتتشعب الأمور شوية في الحسبة لكن هي
+
+86
+00:05:26,430 --> 00:05:32,030
+عبارة عن تكرار لما سبق الآن أنا هذا .. عندي مجموعة
+
+87
+00:05:32,030 --> 00:05:35,530
+من الطلاب أو بيانات مجموعة من الناس اللي اشترت
+
+88
+00:05:35,530 --> 00:05:39,190
+حاسبات و ال data set كانت قديمة في ال 2000فكان
+
+89
+00:05:39,190 --> 00:05:42,630
+بيسأل هل هذا الشخص مؤهل أو ممكن مع احتمال ان يشتري
+
+90
+00:05:42,630 --> 00:05:47,430
+جهاز ولا لأ بناء على حالته ال age لاحظ ال age أنا
+
+91
+00:05:47,430 --> 00:05:52,190
+بتكلم على discrete او categorial data ال income
+
+92
+00:05:52,190 --> 00:05:56,210
+high و low و medium طالب ولا غير طالب yes or no و
+
+93
+00:05:56,210 --> 00:06:00,750
+ال credit ratingعادي او معتد الولا excellent
+
+94
+00:06:00,750 --> 00:06:03,830
+بالنسبة للمتوسط الراتب تبعته وفي الآخر ال class
+
+95
+00:06:03,830 --> 00:06:07,330
+اللي موجود عندهم الان لما انا بدي ابني tree ال
+
+96
+00:06:07,330 --> 00:06:11,730
+tree هتاخد بالشكل هذا خلينا بس عشان ناخد على
+
+97
+00:06:11,730 --> 00:06:16,110
+السريع ناخد ال role أول عشان نتذكر و نشوف كيف بدي
+
+98
+00:06:16,110 --> 00:06:19,350
+اتعامل مع ال tree او كيف تشغل ك calisphere yes يث
+
+99
+00:06:19,350 --> 00:06:24,090
+و high و no fair
+
+100
+00:06:26,540 --> 00:06:32,680
+الـ target تبعتي؟ لا هذا أول روح بس أنا عشان أغير
+
+101
+00:06:32,680 --> 00:06:36,700
+بدي أحق هنا yes عشان تصير هذا ال data أشبه بال
+
+102
+00:06:36,700 --> 00:06:41,660
+unseen و أشوف بال classification تبعتها كيف بدها
+
+103
+00:06:41,660 --> 00:06:47,620
+تكون الآن زي ما قلنا اللي يفهد ال age ال income
+
+104
+00:06:47,620 --> 00:06:50,860
+student
+
+105
+00:06:50,860 --> 00:06:54,920
+و في الآخر اللي هي ال credit
+
+106
+00:07:02,220 --> 00:07:06,100
+rate حاجة على decision tree ال decision tree او ال
+
+107
+00:07:06,100 --> 00:07:09,400
+model لما تم بناءه جالبه بيقول اهم element في
+
+108
+00:07:09,400 --> 00:07:13,660
+القرار عندي ال edge و هنتعرف كمان لحظات ان شاء
+
+109
+00:07:13,660 --> 00:07:17,240
+الله تعالى كيف احنا اختارنا ال edge ليش ماكنتش ل
+
+110
+00:07:17,240 --> 00:07:20,060
+student او ل credit rating اللي هي ال attributes
+
+111
+00:07:20,060 --> 00:07:23,260
+التانية و لاحظة ان في عندي بالكامل في عندي
+
+112
+00:07:23,260 --> 00:07:27,950
+attribute غايب اللي هي موضوعالـ income في الـ
+
+113
+00:07:27,950 --> 00:07:30,530
+decision tree اللي موجود عندي يعني هو كأنه بيقول
+
+114
+00:07:30,530 --> 00:07:35,270
+ال income هان مش صاحب تأثير كتير على ال decision
+
+115
+00:07:35,270 --> 00:07:39,010
+أو على القرار اللي موجود عندي طب كيف هذا الكلام
+
+116
+00:07:39,010 --> 00:07:44,590
+صار؟ هنشوفه كمان شوية ليش؟ في دلالة تانية هان بيجي
+
+117
+00:07:44,590 --> 00:07:47,350
+بيقول إنه ال high الأقل تأثيرا أو مالش تأثير يعني
+
+118
+00:07:47,350 --> 00:07:50,130
+بقدر أنا أشيله أو أستغني عنه بجمع البيانات التانية
+
+119
+00:07:50,130 --> 00:07:55,510
+بتكون أسهل الآن ال ageYouth, middle age و senior
+
+120
+00:07:55,510 --> 00:07:59,210
+فى عندى تفرعات غير هيك لأ هدولة ال three discrete
+
+121
+00:07:59,210 --> 00:08:02,850
+values اللى موجودة عندى بال age تمام حسب ال role
+
+122
+00:08:02,850 --> 00:08:09,970
+عندهان يف هي ال يف إذا أنا سألته يف يعني خلاص كل
+
+123
+00:08:09,970 --> 00:08:14,010
+branch السابق هاي ماليش دخل فيها إذا كان هو
+
+124
+00:08:14,010 --> 00:08:19,770
+student غالبا هيشتري ومش هدور على الفيرم مش
+
+125
+00:08:19,770 --> 00:08:22,210
+هتلزمني تعال طلع معايا عندهان
+
+126
+00:08:26,000 --> 00:08:28,800
+و هذا الطالب بيكون هيشتري كمبيوتر لإيش؟ لأن إذا
+
+127
+00:08:28,800 --> 00:08:31,800
+كان هو في ال middle ايه؟ أو في اليث صغير أو شاب
+
+128
+00:08:31,800 --> 00:08:35,300
+يافع و طالب في نفس الوقت يعني طالب جامعة فغالبا
+
+129
+00:08:35,300 --> 00:08:38,820
+هذا هيحتاج كمبيوتر و من ثم هيروح يشتريه لو أنا بدي
+
+130
+00:08:38,820 --> 00:08:42,000
+أرجع لل data set اللي موجودة عندي هان وان اليث و
+
+131
+00:08:42,000 --> 00:08:49,200
+student و fair yes يث student و fair
+
+132
+00:08:51,960 --> 00:08:54,880
+عشان تلاحظ ان هدولة التنتين هما اللي كانوا اكتر
+
+133
+00:08:54,880 --> 00:09:00,340
+تأثيرا في حالة ال elements اللي مولودة وهكذا لو
+
+134
+00:09:00,340 --> 00:09:05,040
+كان still age في ال middle age مباشرة هيكون هيشتري
+
+135
+00:09:05,040 --> 00:09:08,040
+ال attribute لو كان senior
+
+136
+00:09:10,850 --> 00:09:14,250
+وال income rate اللي عنده fair غالبا مش هيشتريه
+
+137
+00:09:14,250 --> 00:09:17,210
+وهذه هيك بتصير موضوع ال decision او موضوع ال
+
+138
+00:09:17,210 --> 00:09:19,950
+classification يعني ال leaves اللي عندي في ال node
+
+139
+00:09:19,950 --> 00:09:23,850
+او عفوا في ال .. في ال trees ال leaf nodes بتمثل
+
+140
+00:09:23,850 --> 00:09:27,930
+ال classes اللي انا بقى ادور عليها وطبعا عمق
+
+141
+00:09:27,930 --> 00:09:33,210
+الشجرة وحجمها مرتبط بعدد ال attributes وحجم ال
+
+142
+00:09:33,210 --> 00:09:35,970
+data set اللي موجودة عندى
+
+143
+00:09:38,250 --> 00:09:42,710
+الأن ال algorithm المستخدم مع ال decision tree
+
+144
+00:09:42,710 --> 00:09:50,490
+اللي هو ال basic algorithm بنسميه C4.5 وهذا بيشتغل
+
+145
+00:09:50,490 --> 00:09:54,150
+في مبدأ ال top-down recursive divide and conquer
+
+146
+00:09:54,150 --> 00:09:58,730
+الان الناس اللي أخدت خوارزميات حتما مر عليها مصطلح
+
+147
+00:09:58,730 --> 00:10:03,170
+divide and conquer الفكرة في ال algorithm هذا ان
+
+148
+00:10:03,170 --> 00:10:07,810
+المشكلة الكبيرة جزئها بتقدر تسيطر عليهايعني
+
+149
+00:10:07,810 --> 00:10:11,630
+بنجوسين حل جزء جزء من ال data set اللي موجودة عندك
+
+150
+00:10:11,630 --> 00:10:14,890
+هنا و هنشوف كمان شوية و هذا المبدأ هو مبدأ ال
+
+151
+00:10:14,890 --> 00:10:17,870
+greedy طبعا و من ثم ال algorithm هذا أخد ال greedy
+
+152
+00:10:17,870 --> 00:10:21,450
+algorithm شو يعني greedy يعني الطماع فكرته بكل
+
+153
+00:10:21,450 --> 00:10:24,710
+بساطة أنه أنا بنظر لل best solution في ال current
+
+154
+00:10:24,710 --> 00:10:29,210
+stage ماليش على المدى البعيد إيش اللي بيصير عندي؟
+
+155
+00:10:30,520 --> 00:10:33,720
+هبدأ مع كل examples هاخد مع ال data ال attributes
+
+156
+00:10:33,720 --> 00:10:38,280
+لكل ال data set و اروح عشان اوجدها او اوجد من
+
+157
+00:10:38,280 --> 00:10:45,240
+خلالها ال route الان كل ال data set اللي عندي هنا
+
+158
+00:10:45,240 --> 00:10:52,780
+must be categorical الان في ال C4.5 كل ال
+
+159
+00:10:52,780 --> 00:10:56,500
+attribute لازم تكون categorical طب انا ماعنديش انا
+
+160
+00:10:56,500 --> 00:11:01,750
+عندي continuous value اعملها discretizationو كل بن
+
+161
+00:11:01,750 --> 00:11:06,030
+اديها label و اعتمد اشتغل على ال label اللي موجود
+
+162
+00:11:06,030 --> 00:11:09,810
+عندك هان يعني لما تيجي مثلا ال age نقول والله
+
+163
+00:11:09,810 --> 00:11:19,390
+الياث من 16 مثلا ل 22 هيث ال
+
+164
+00:11:19,390 --> 00:11:24,870
+age اقول مثلا من 23 الى 35 senior
+
+165
+00:11:26,900 --> 00:11:30,060
+وبالتالي انا بقدر اشتغل .. بما ان ال algorithm بدو
+
+166
+00:11:30,060 --> 00:11:33,260
+مني discrete او nominal data فبقدر اعمل
+
+167
+00:11:33,260 --> 00:11:37,140
+discretization بعمل binning و بعد هيك بروح بحط
+
+168
+00:11:37,140 --> 00:11:43,280
+label لكل bin او لكل interval في ال continuous
+
+169
+00:11:43,280 --> 00:11:47,000
+attribute اللي موجودة عندهم على الرغم من هيك هتكلم
+
+170
+00:11:47,000 --> 00:11:51,160
+كمان شوية بشكل بسيط في موضوع فعليا كيف ممكن انا
+
+171
+00:11:51,160 --> 00:11:54,620
+افحص لو كان عندي continuous في algorithm مختلفة
+
+172
+00:11:54,620 --> 00:11:55,680
+طيب
+
+173
+00:11:58,590 --> 00:12:03,350
+ممتاز معناته انا فعليا هاخد ال data set و ابدأ امر
+
+174
+00:12:03,350 --> 00:12:08,530
+على كل attribute و على كل ال rows و اجسم العناصر
+
+175
+00:12:08,530 --> 00:12:12,510
+اللي موجودة ال test attribute اللي هيمثل ال node
+
+176
+00:12:12,510 --> 00:12:16,170
+اللي هاخد عليها decision اللي سمينها بين جثين ال
+
+177
+00:12:16,170 --> 00:12:19,930
+internal nodes سواء كانت هاي او هاي او هاي ماليش
+
+178
+00:12:19,930 --> 00:12:24,510
+beliefs لأن ال leaves بتمثل ال classes الآن هذه ال
+
+179
+00:12:24,510 --> 00:12:29,850
+test nodesأو test attributes هختارها تبعًا
+
+180
+00:12:29,850 --> 00:12:34,690
+لهيوريستيك أو statistical measurement بناءً على
+
+181
+00:12:34,690 --> 00:12:38,510
+مجموعة من ال rules المكتسبة سابقًا أو مجموعة من ال
+
+182
+00:12:38,510 --> 00:12:43,130
+statistics هعتمدها مثل الinformation gain أو
+
+183
+00:12:43,130 --> 00:12:47,920
+الgenie indexاللي هنشوف طبعا احنا هنكتفي في ال
+
+184
+00:12:47,920 --> 00:12:51,460
+course هذا على حسبة ال information gain وممكن
+
+185
+00:12:51,460 --> 00:12:55,480
+ازودكوا لاحقا ب description او بشرح لواحدة من ال
+
+186
+00:12:55,480 --> 00:13:00,440
+algorithm التانية اللي موجودة بتاعنا متى بدي اوقف
+
+187
+00:13:00,440 --> 00:13:05,800
+بوقف لما بتكون كل يعني في كل مرة احنا قولنا divide
+
+188
+00:13:05,800 --> 00:13:11,020
+and conquer في ال data set بروح باخد ال data set و
+
+189
+00:13:11,020 --> 00:13:13,480
+ببدأ بشتغل على ال attribute الأول ال attribute هذا
+
+190
+00:13:13,480 --> 00:13:21,080
+جسم ال data set ل2 أو 3 data sets مع كل data set
+
+191
+00:13:21,080 --> 00:13:24,700
+بأخدها إذا ال data set هذه كل العناصر اللي فيها
+
+192
+00:13:24,700 --> 00:13:28,480
+بتنتمي لنفس ال class يعني خلاص مافيش شغل على ال
+
+193
+00:13:28,480 --> 00:13:32,680
+data set هاي بمعنى آخر أنا أجيت لل middle age هنا
+
+194
+00:13:32,680 --> 00:13:37,500
+لما روحت قلت طبعا احنا حسبنا قلنا اخترنا ان ال
+
+195
+00:13:37,500 --> 00:13:40,760
+index هو ال major او ال root تبعتي الأول test
+
+196
+00:13:40,760 --> 00:13:44,420
+attribute وجيت دورت في ال middle age
+
+197
+00:13:47,510 --> 00:13:58,370
+Middle Age Middle Age تلاتاشة
+
+198
+00:13:58,370 --> 00:14:02,890
+واربعتاش بكل ال middle age هدولة يشملهم هدولة
+
+199
+00:14:02,890 --> 00:14:07,250
+بينتميوا لنفس ال class كلهم yes وبالتالي عند ال
+
+200
+00:14:07,250 --> 00:14:09,810
+middle age مافيش عندي continuous خلاص أنا وصلت
+
+201
+00:14:09,810 --> 00:14:13,590
+للنهايةلأ، طيب، ممتاز، معناته أول condition للـ
+
+202
+00:14:13,590 --> 00:14:18,070
+stopping أن كل ال samples لل node المعضاها بتنتمي
+
+203
+00:14:18,070 --> 00:14:21,530
+لنفس ال class زي ما شوفنا مع ال middle edge الحالة
+
+204
+00:14:21,530 --> 00:14:24,970
+التانية، أنه أنا فعليا بضلني بأجسم أو بعمل
+
+205
+00:14:24,970 --> 00:14:32,250
+partitioning لحد ما أصل أنه no remaining sample لل
+
+206
+00:14:32,250 --> 00:14:37,540
+attributes الموجودة، بدي أرجع معاك كمان مرة عفواno
+
+207
+00:14:37,540 --> 00:14:40,260
+remaining attributes او خلصت كل ال attributes اللي
+
+208
+00:14:40,260 --> 00:14:45,120
+عندي او فعليا ماضلش عندي samples موجودة بدي ارجع
+
+209
+00:14:45,120 --> 00:14:48,840
+معاك كمان مرهان انا الان هاتفقنا ان ال age هو اول
+
+210
+00:14:48,840 --> 00:14:55,700
+واحد خلصت من ال middle age انا ايش
+
+211
+00:14:55,700 --> 00:15:04,270
+بقي عندي بقي عندي ال young ال youthو ال senior ال
+
+212
+00:15:04,270 --> 00:15:08,610
+data set تبعتي هتنجسم ل two data sets يث و senior
+
+213
+00:15:08,610 --> 00:15:15,110
+يث و senior معناته انا هحصل على هاي
+
+214
+00:15:15,110 --> 00:15:19,990
+ال data set اللي موجودة عندي ها هي اليث فهروح انا
+
+215
+00:15:19,990 --> 00:15:26,650
+اخد هتعامل مع ال data set بعد هيك هايعلى إنها data
+
+216
+00:15:26,650 --> 00:15:30,390
+set مستقلة و أعمل و أبدأ بالحسبة مرة تانية يعني
+
+217
+00:15:30,390 --> 00:15:36,370
+بين جوسين أصبحت اليف الآن هي ال branch الآن مين
+
+218
+00:15:36,370 --> 00:15:40,830
+ضال عندي income و student و ال credit هروح أدور
+
+219
+00:15:40,830 --> 00:15:45,850
+بين هدول مين اللي هتكون عند ال test node هانو هعمل
+
+220
+00:15:45,850 --> 00:15:50,210
+split لل data هذه ال data set انسي الباقي كله هعمل
+
+221
+00:15:50,210 --> 00:15:54,570
+split لل data set هذه بناء على selected attribute
+
+222
+00:15:54,570 --> 00:15:57,930
+بين جثين احنا شفنا بال example مسبقا انه ال
+
+223
+00:15:57,930 --> 00:16:01,530
+student فكانت هي ال student ال student هدفي yes و
+
+224
+00:16:01,530 --> 00:16:06,370
+no بناء عليهالـ data set بتنجي سيملة two data sets
+
+225
+00:16:06,370 --> 00:16:10,450
+كمان مرة واحدة مع ال yes و واحدة مع ال no و بنقل
+
+226
+00:16:10,450 --> 00:16:14,510
+طبعا بما انه انا student yes و no بروح بدور صارت
+
+227
+00:16:14,510 --> 00:16:17,450
+هدولة بينتم دولة class و هدولة كل partition بينتم
+
+228
+00:16:17,450 --> 00:16:22,100
+ال class معناته انا وجفتطيب فحصت ال .. عفوا فحصت
+
+229
+00:16:22,100 --> 00:16:26,320
+ال age و فحصت ال student و فحصت ال income و في
+
+230
+00:16:26,320 --> 00:16:28,940
+الآخر لاجيت ان انا فعليا مافيش عندي attributes
+
+231
+00:16:28,940 --> 00:16:32,200
+فخلصنا فهذه ال condition او stopping conditions
+
+232
+00:16:32,200 --> 00:16:35,900
+اللي انا ممكن اوقف عليها طالما ال data ستة بقعت
+
+233
+00:16:35,900 --> 00:16:40,840
+كبيرة و فيها شغل ال decision tree بياخد مني وجد في
+
+234
+00:16:40,840 --> 00:16:44,820
+موضوع القرار اللي موجود هنا كمان مرة بلخص بشكل
+
+235
+00:16:44,820 --> 00:16:50,430
+سريعمتى انا ممكن اوقف اظل ابحث مين اللي بيحدد ال
+
+236
+00:16:50,430 --> 00:16:53,630
+depth تبعت letter E ال depth تبعت letter E تحدد
+
+237
+00:16:53,630 --> 00:16:56,810
+تبع ال dimensionality تبع ال data set عدد ال
+
+238
+00:16:56,810 --> 00:17:01,550
+attributes و عدد ال rows الان متى بدي اوقف لما
+
+239
+00:17:01,550 --> 00:17:04,890
+تكون كل ال sample في ال given node تنتمي لنفس ال
+
+240
+00:17:04,890 --> 00:17:07,950
+class يعني لما انا اخترت ال attribute و روحت اعمل
+
+241
+00:17:07,950 --> 00:17:11,970
+splitلاجيت واحدة من الـ partitions اللي موجودة
+
+242
+00:17:11,970 --> 00:17:13,970
+بتنتمي لنفس ال class خلاص هاد ابنا مافيش فيها شغل
+
+243
+00:17:13,970 --> 00:17:16,870
+لإن هاد ال decision تبعتها مباشرة لإنها بتنتمي
+
+244
+00:17:16,870 --> 00:17:20,850
+لنفس ال class معناته خلاص اوصلت ال leave node ال
+
+245
+00:17:20,850 --> 00:17:29,750
+leave node تبعتي ال leave node ال leave لماالخيار
+
+246
+00:17:29,750 --> 00:17:32,690
+التاني أنه لما بكون فعليًا أنا عملت splitting لل
+
+247
+00:17:32,690 --> 00:17:35,250
+data set على كل ال attributes وخلصت ال attributes
+
+248
+00:17:35,250 --> 00:17:40,030
+تبعتي برضه ماعنديش شغل و there is no sample left
+
+249
+00:17:40,030 --> 00:17:43,610
+مابغيش عندي ولا حاجة في ال data set عشان أجسمها
+
+250
+00:17:43,610 --> 00:17:47,510
+على مستوى الرأس تعالوا نروح مع بعض من خلال نشوف ال
+
+251
+00:17:47,510 --> 00:17:52,910
+information gain و هي الأكثر و الأشهر استخدامها و
+
+252
+00:17:52,910 --> 00:17:55,830
+ال Gain Index هنتكلم على ال information gain بكل
+
+253
+00:17:55,830 --> 00:17:59,970
+بساطةالـ information gain بتعتمد على ال
+
+254
+00:17:59,970 --> 00:18:02,830
+probability مش احنا قلنا قبل شوية موضوع ال
+
+255
+00:18:02,830 --> 00:18:06,970
+splitting او الفصل في ال attributes بيعتمد اعتماد
+
+256
+00:18:06,970 --> 00:18:12,250
+كله على فعليا العناصر اللي موجودة على احتمال
+
+257
+00:18:12,250 --> 00:18:15,930
+يقولنا اما heuristic rules او statistical
+
+258
+00:18:15,930 --> 00:18:19,650
+measurement لما بتكلم على probability معناته انا
+
+259
+00:18:19,650 --> 00:18:22,950
+جاي بتتكلم على احتمالات ال statistics الى اخرين
+
+260
+00:18:23,780 --> 00:18:27,160
+بقول افترض ان الـ P I هي عبارة عن ال probability
+
+261
+00:18:27,160 --> 00:18:34,780
+of an arbitrary tuple في ال data ال 6 تبعتي تبعتي
+
+262
+00:18:34,780 --> 00:18:36,740
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+263
+00:18:36,740 --> 00:18:36,820
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+264
+00:18:36,820 --> 00:18:36,820
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+265
+00:18:36,820 --> 00:18:37,520
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+266
+00:18:37,520 --> 00:18:40,280
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي
+
+267
+00:18:40,280 --> 00:18:49,560
+تبعتي تبعتي تبعتي تبعتي تبعتي تبعتي تبع
+
+268
+00:18:51,740 --> 00:18:55,960
+الـ Probability للـ CD الـ CI على ال D على كل
+
+269
+00:18:55,960 --> 00:18:59,300
+Probability تبع ال data set اللي موجودة بكل بساطة
+
+270
+00:18:59,300 --> 00:19:04,400
+أنا في عندي تلت عمليات حسابية هعملها عشان أخد ال
+
+271
+00:19:04,400 --> 00:19:07,560
+decision و أحدد من ال test node اللي موجود عندي
+
+272
+00:19:07,560 --> 00:19:11,540
+الأولى هسميها ال expected information أو ال
+
+273
+00:19:11,540 --> 00:19:19,260
+entropy وهي لكل ال data set اللي موجودة عندي هنا
+
+274
+00:19:19,260 --> 00:19:27,600
+شو يعني؟الان مطلوب مني ان احسب ال information او
+
+275
+00:19:27,600 --> 00:19:31,140
+ال entropy لل classes اللي موجودة في ال data set
+
+276
+00:19:31,140 --> 00:19:34,700
+لكل ال data set وهنا بنجو سين وكأني بده يقوللي
+
+277
+00:19:34,700 --> 00:19:40,940
+احسب احتمالية او احسب ال probability لكل class في
+
+278
+00:19:40,940 --> 00:19:43,880
+ال data set عدد مرات ظهور ل class في ال data set
+
+279
+00:19:43,880 --> 00:19:46,840
+اللي موجودة عندي هنا وبعد هيك بروح طبق عليهم
+
+280
+00:19:46,840 --> 00:19:51,840
+العملية يعني انا لو كنت على سبيل المثالال data 6
+
+281
+00:19:51,840 --> 00:19:57,580
+تبعتي فيها عشر element أربعة منهم yes وستة منهم no
+
+282
+00:19:57,580 --> 00:20:01,040
+أنا
+
+283
+00:20:01,040 --> 00:20:04,100
+في عيني بتكلم على binary classification yes or no
+
+284
+00:20:04,100 --> 00:20:10,200
+أربعة yes وستة no ال information gained لل data 6
+
+285
+00:20:10,200 --> 00:20:16,720
+تبعتي كلها هي عبارة عن مجموع ناقص
+
+286
+00:20:16,720 --> 00:20:20,600
+مضروبة فيه ال probability تبعت ال data الأولى
+
+287
+00:20:22,150 --> 00:20:28,310
+احتمال ال class الأول 4 على 10 مضروبة في log ال 4
+
+288
+00:20:28,310 --> 00:20:33,210
+على 10 للأساس 2 زائد
+
+289
+00:20:34,590 --> 00:20:40,310
+6 على 10 مضروبة في ال logarithm 6 على 10 ال
+
+290
+00:20:40,310 --> 00:20:44,350
+logarithm ال binary logarithm و هكذا ليش القيمة
+
+291
+00:20:44,350 --> 00:20:48,030
+هتداني إشارة سالبة لأن ال logarithm تبعت ال binary
+
+292
+00:20:48,030 --> 00:20:52,690
+بتاعة الكسل هتطلع عندى سالب و إذا بتذكروا في عندى
+
+293
+00:20:52,690 --> 00:21:01,740
+log ال X على ال Yتساوي log X ناقص log Y وبما ان ال
+
+294
+00:21:01,740 --> 00:21:05,200
+Y عندي اكبر من ال X فستكون القيمة اللي عندي سالبة
+
+295
+00:21:05,200 --> 00:21:07,880
+عشان انا اخلص منها اخلص منها فكانت القيام اللي
+
+296
+00:21:07,880 --> 00:21:12,360
+عندي هان هتطلع قيم موجبة واضح الأمور ان شاء الله
+
+297
+00:21:12,360 --> 00:21:18,090
+جماعة الخيرالان يعني اول شغلة فعليا انا هسويها
+
+298
+00:21:18,090 --> 00:21:21,350
+هروح احسب ال probability لكل class او بين جثين
+
+299
+00:21:21,350 --> 00:21:27,670
+هحسب ال entropy هي عبارة عن حاصل .. عبارة عن مجموع
+
+300
+00:21:27,670 --> 00:21:33,310
+حاصل ضرب ال probability لكل class في ال logarithm
+
+301
+00:21:33,310 --> 00:21:38,830
+او ال binary log ل ال probability ل ال class اللي
+
+302
+00:21:38,830 --> 00:21:41,930
+موجود عندى و زي ما بقوله بال .. بال .. بال ..
+
+303
+00:21:42,360 --> 00:21:45,340
+بالمثال يتضح المقار كمان شوية هنتقل للمثال
+
+304
+00:21:45,340 --> 00:21:50,740
+بالتفصيل ان شاء الله تعالى الخطوة اللي بعد هيك بدي
+
+305
+00:21:50,740 --> 00:21:58,260
+اروح لكل attribute A احاول فعليا هيجسم ال data set
+
+306
+00:21:58,260 --> 00:22:02,040
+لمجموعة من ال partitions جداش عدد ال V هذه او جداش
+
+307
+00:22:02,040 --> 00:22:07,420
+عدد ال partitions بعدد ال distinct values اللي
+
+308
+00:22:07,420 --> 00:22:12,630
+موجودة عندى فيه ال attributeيعني ال age كان في
+
+309
+00:22:12,630 --> 00:22:19,910
+عندي تلاتة three three values يث و middle age و
+
+310
+00:22:19,910 --> 00:22:23,570
+senior ففعليا ال attribute ال age هي
+
+311
+00:22:26,960 --> 00:22:30,380
+الـ Attribute الـ Age يث و Middle Age والسينيور
+
+312
+00:22:30,380 --> 00:22:33,860
+هيلي الـ three distinct values ففعليا بناء على ال
+
+313
+00:22:33,860 --> 00:22:38,600
+attribute هذا هجسم ال data ستة باعتي كلها ل three
+
+314
+00:22:38,600 --> 00:22:43,860
+.. ل three subsets ل three partitions مع كل واحدة
+
+315
+00:22:43,860 --> 00:22:46,600
+من ال values اللي موجودة عندي هنا عشان انا فعليا
+
+316
+00:22:46,600 --> 00:22:52,190
+اروحأحسب ال information لل attribute اللي موجودة
+
+317
+00:22:52,190 --> 00:22:56,050
+عندها ايش ال information لل attribute ال
+
+318
+00:22:56,050 --> 00:23:01,870
+information لل attribute يساوي ال summationاحتمال
+
+319
+00:23:01,870 --> 00:23:04,870
+ال element اللي عندي او ال class اللي موجودة عندي
+
+320
+00:23:04,870 --> 00:23:08,310
+هنا لل attribute فيه ال information تبعت ال subset
+
+321
+00:23:08,310 --> 00:23:12,390
+اللي موجودة يعني بين جسيم ال subset الجديدة انا
+
+322
+00:23:12,390 --> 00:23:16,770
+هشتغل عليها و احسبها ال intro b السابقة بعد ما
+
+323
+00:23:16,770 --> 00:23:23,570
+احسب ال information لل attribute ال gain الانحياز
+
+324
+00:23:25,400 --> 00:23:28,740
+لأ ال element اللى موجود عندى هان أو التحصيل اللى
+
+325
+00:23:28,740 --> 00:23:33,400
+ممكن نسميها التحصيل ال a هي عبارة عن ال
+
+326
+00:23:33,400 --> 00:23:38,760
+information لل D الأولى ناقص ال information أو ال
+
+327
+00:23:38,760 --> 00:23:41,640
+entropy تبعت ال attribute اللى عندى ال entropy
+
+328
+00:23:41,640 --> 00:23:47,180
+تبعت ال attribute اللى عندى يعني أنا فعليا هاخد
+
+329
+00:23:47,180 --> 00:23:53,540
+هاي و هايهتراحهم من بعض بس ما تنسوش انه فعليا هذه
+
+330
+00:23:53,540 --> 00:23:59,580
+هي نفسها اللي فوق بس على different subset او على
+
+331
+00:23:59,580 --> 00:24:03,680
+different data set او بين جسين على subset set تبعا
+
+332
+00:24:03,680 --> 00:24:07,320
+لل values اللي جسمها لل partition اللي جسمت ليها
+
+333
+00:24:07,320 --> 00:24:11,480
+ال attribute اللي عندنا تعالوا نروح هن و نشوف
+
+334
+00:24:11,480 --> 00:24:17,140
+المثال اللي موجود عندنا قلنا في الخطوة رقم واحدفي
+
+335
+00:24:17,140 --> 00:24:21,600
+الخطوة رقم واحد قلنا انا اتفقنا ان انا فعليا هروح
+
+336
+00:24:21,600 --> 00:24:24,800
+احسب ال information gain او ال entropy لكل ال data
+
+337
+00:24:24,800 --> 00:24:29,260
+set ممتاز عشان احسب ال entropy لكل ال data set
+
+338
+00:24:29,260 --> 00:24:33,540
+بنذكر قلنا هو عبارة عن ال summation سالب واحد في
+
+339
+00:24:33,540 --> 00:24:40,160
+ال summation في probability لل I في log ل ال P I
+
+340
+00:24:40,160 --> 00:24:43,960
+ال probability لل I و ايش قلنا هاي ال classوالـ I
+
+341
+00:24:43,960 --> 00:24:46,920
+بيتساوى من واحد لأن بعدد ال classes اللي موجودة
+
+342
+00:24:46,920 --> 00:24:51,360
+حسب ال data set اللي موجودة عندها حسب ال data set
+
+343
+00:24:51,360 --> 00:24:53,900
+اللي موجودة عندها انا في عندى two different
+
+344
+00:24:53,900 --> 00:24:58,680
+classes only two different classes only اللي هم
+
+345
+00:24:58,680 --> 00:25:05,940
+yes و no حجم ال data set كل هجدش يا جماعة الخير 14
+
+346
+00:25:05,940 --> 00:25:11,280
+عدد ال yes 9 معناته ال probability تبعتها 9 على 14
+
+347
+00:25:13,570 --> 00:25:18,130
+الـ Probability للـ Yes 9 على 14 طب عدد الـ No
+
+348
+00:25:18,130 --> 00:25:24,810
+بجيتها 5 5 على 14 هي الاحتمالية تبعتها 5 على 14
+
+349
+00:25:24,810 --> 00:25:31,190
+وبهيك أنا حصلت على أول خطوةاللي هي عرفت ال
+
+350
+00:25:31,190 --> 00:25:34,790
+probability تبعت لـ classes اللي موجودة عندي اللي
+
+351
+00:25:34,790 --> 00:25:37,570
+هي ال probability لل yes و ال probability لل no
+
+352
+00:25:37,570 --> 00:25:40,030
+الخطوة التالية اللي المفروض ان انا اشتغل عليها
+
+353
+00:25:40,030 --> 00:25:43,410
+الان ان انا بدروح احسب ال information او ال
+
+354
+00:25:43,410 --> 00:25:48,210
+entropy تبعتي بالمعادلة التالية ال information
+
+355
+00:25:48,210 --> 00:25:57,610
+هنرمزلها لل I لل data set تبعتي تساوي تساوي
+
+356
+00:25:59,800 --> 00:26:04,940
+I تسعة كما خمسة تسعة و خمسة هدول هم الاربعتاش
+
+357
+00:26:04,940 --> 00:26:07,660
+تبعوتي يا جماعة الخير الان هي القانون تبع ال
+
+358
+00:26:07,660 --> 00:26:12,580
+information هيه بيلزمني فيها ان اعرف ال
+
+359
+00:26:12,580 --> 00:26:16,020
+probability لل yes و ال probability لل no وهذا
+
+360
+00:26:16,020 --> 00:26:24,260
+الكلام يساوي ماقص مضروبة فيه كام class and two
+
+361
+00:26:24,260 --> 00:26:27,790
+class هيهم هدوللو كانوا تلاتة هيكونوا تلاتة لو
+
+362
+00:26:27,790 --> 00:26:32,130
+أربعة هيكونوا أربعة إلى آخره مع كل واحدة فيهم الان
+
+363
+00:26:32,130 --> 00:26:36,270
+تسعة على أربعة اتناش هي تبعت ال class الأول اللي
+
+364
+00:26:36,270 --> 00:26:42,030
+بين جثين احنا قلنا ال yes مضروبة في ال binary
+
+365
+00:26:42,030 --> 00:26:48,970
+logarithm للتسعة على أربعة اتناشمجموعة لهم مجموعة
+
+366
+00:26:48,970 --> 00:26:54,010
+الخمسة تبعتها الخمسة تبعت النو خمسة على أربعة عاش
+
+367
+00:26:54,010 --> 00:27:01,670
+مضروبة في ال logarithm ال binary logarithm الخمسة
+
+368
+00:27:01,670 --> 00:27:07,950
+على أربعة عاش هذا ال gain تبعت كل ال data set
+
+369
+00:27:07,950 --> 00:27:11,230
+توزيعت ال data set عندي على two classes تذكر كمان
+
+370
+00:27:11,230 --> 00:27:17,750
+مرةواحدة اتين تلاتة اربعة خمسة no خمسة من اربعة
+
+371
+00:27:17,750 --> 00:27:21,290
+اتاشر معناته عندى تسعة yes والان قولنا هي قانونهم
+
+372
+00:27:21,290 --> 00:27:25,670
+قانون ال information او ال gain عفوا ال entropy لل
+
+373
+00:27:25,670 --> 00:27:30,730
+data set هي عبارة عن سالب واحد مضروبة في مجميع ل
+
+374
+00:27:30,730 --> 00:27:35,410
+probability لكل class مضروبة في ال log ل log ل
+
+375
+00:27:35,410 --> 00:27:38,650
+probability لكل class فانا هيني حسبت المعادلة اللى
+
+376
+00:27:38,650 --> 00:27:40,670
+موجودة عندى هتظهر من خلال
+
+377
+00:27:43,770 --> 00:27:51,650
+سلايد هيه وهذه
+
+378
+00:27:51,650 --> 00:27:59,370
+قيمتها point تسعة أربعة أو أربعة وتسعين من مية هذه
+
+379
+00:27:59,370 --> 00:28:03,130
+ثابتة هتكون لكل ال data set لكل training set اللي
+
+380
+00:28:03,130 --> 00:28:06,830
+أنا ببني عليها ال model ممتاز انا مشيت اول خطوة في
+
+381
+00:28:06,830 --> 00:28:12,030
+الحل الخطوة التالية ان انا فعليا بدي اروح اي اتنين
+
+382
+00:28:16,020 --> 00:28:22,480
+بدأ أحسب ال information لكل attribute موجود في ال
+
+383
+00:28:22,480 --> 00:28:28,200
+data set لكل attribute؟ صحيح فهأخد احسب ال intro
+
+384
+00:28:28,200 --> 00:28:33,140
+بالان او ال information gain لل age و احسب ال
+
+385
+00:28:33,140 --> 00:28:39,490
+informationGain للـ income لل student لل credit
+
+386
+00:28:39,490 --> 00:28:45,670
+rating و هكذا خليني انا ابدأ معاكوا و اذكركم ان
+
+387
+00:28:45,670 --> 00:28:48,670
+انا فعليا بحسب ال information gain لل attribute
+
+388
+00:28:52,790 --> 00:28:56,270
+تبقى على ال data set اللي موجودة عندها لأن ال
+
+389
+00:28:56,270 --> 00:28:59,750
+summation على عدد ال partitions ال summation ال V
+
+390
+00:28:59,750 --> 00:29:02,830
+زي ما قلنا قبل شوية هيها اللي هي عدد ال partitions
+
+391
+00:29:02,830 --> 00:29:08,650
+اللي عندها number of partitions حجم
+
+392
+00:29:08,650 --> 00:29:12,850
+ال partition لل data set عدد عناصر ال partition
+
+393
+00:29:12,850 --> 00:29:16,290
+لعدد عناصر ال data set ratio احتمال ولا لأ
+
+394
+00:29:16,290 --> 00:29:21,880
+probability ضرب ال informationلل data set أو لل
+
+395
+00:29:21,880 --> 00:29:25,700
+partition اللي موجودة عندي يعني مع كل partition
+
+396
+00:29:25,700 --> 00:29:30,060
+انا بجسمه هروح احسب ال information لل data set
+
+397
+00:29:30,060 --> 00:29:33,120
+لجديدة و هذه مبدأ ال divide and conquer زي ما قلنا
+
+398
+00:29:33,120 --> 00:29:36,300
+سابقا في الالجو في الخصائص اللي موجودة هنا خلينا
+
+399
+00:29:36,300 --> 00:29:41,780
+ناخد ال age ال age بجسم ال data set اللي عندي ل
+
+400
+00:29:41,780 --> 00:29:45,280
+three partitions بناء على مين؟ بناء على ان عندي
+
+401
+00:29:45,280 --> 00:29:51,120
+youthو middle age و senior فش عني غيرهم هايهم ال
+
+402
+00:29:51,120 --> 00:29:56,100
+different elements اللي موجودين عندى الآن إيش هروح
+
+403
+00:29:56,100 --> 00:30:08,600
+أساوي بهمش هروح أشتغل التالي هعمل جدول بسيط
+
+404
+00:30:08,600 --> 00:30:11,680
+إيش
+
+405
+00:30:11,680 --> 00:30:15,570
+ال values اللي موجودة عندى هناطب انا بتكلم على ال
+
+406
+00:30:15,570 --> 00:30:26,170
+age الان ك attribute ال value تبعتي جدش
+
+407
+00:30:26,170 --> 00:30:32,330
+منهم yes جدش منهم no و بدى اروح احسب ال intro بيه
+
+408
+00:30:32,330 --> 00:30:35,610
+تبعت ال yes و ال no
+
+409
+00:30:41,850 --> 00:30:47,750
+متفقين الآن احنا في عيننا قولنا three elements او
+
+410
+00:30:47,750 --> 00:30:59,670
+three different values موجودة عندى الأولى يث هى
+
+411
+00:30:59,670 --> 00:31:07,030
+واحدة يث تنتين تلاتة اربعة خمسة
+
+412
+00:31:10,000 --> 00:31:17,900
+no بتعد ال yes الان واحدة تنتين تلاتة تلاتة yes
+
+413
+00:31:17,900 --> 00:31:21,380
+وتنتين
+
+414
+00:31:21,380 --> 00:31:27,740
+no الان المطلوب مني هو فعليا انا عند خمسة yes
+
+415
+00:31:27,740 --> 00:31:32,760
+العدد هم هتوزع تلاتة و اتنين مقلوب مني احسب I
+
+416
+00:31:32,760 --> 00:31:38,540
+تلاتة و اتنينالـ Entropy للـ Yes والـ No تبع لل
+
+417
+00:31:38,540 --> 00:31:41,540
+class اللي موجود عندهم تعالى نشوف البعد هيك ال
+
+418
+00:31:41,540 --> 00:31:47,300
+middle age هي واحدة واحدة middle age اتنين تلاتة
+
+419
+00:31:47,300 --> 00:31:58,720
+اربعة اربعة middle age توزعتهم
+
+420
+00:31:58,720 --> 00:32:09,170
+واحدة yes تنتين yes تلاتة yesأربعة yes أربعة yes
+
+421
+00:32:09,170 --> 00:32:12,830
+هم كله عددهم أربعة فكم منهم أربعة yes معناته صفر
+
+422
+00:32:12,830 --> 00:32:18,930
+منهم no صحيح الكلام هيك و هيك صار في عندي أربعة و
+
+423
+00:32:18,930 --> 00:32:26,250
+zero بالنسبة لل senior الآن
+
+424
+00:32:26,250 --> 00:32:30,290
+صار في عندي تلاتة عفوا احنا قولنا هنا خمسة وهنا
+
+425
+00:32:30,290 --> 00:32:34,970
+أربعة مجموحهم تسعة جدش باقي عندي جدش باقي عندي
+
+426
+00:32:39,130 --> 00:32:43,930
+خمسة ليش؟ لأن ال data set حجمها 14 element فصار في
+
+427
+00:32:43,930 --> 00:32:47,070
+عندي تسعة rows موجودين مع ال value الأولى و
+
+428
+00:32:47,070 --> 00:32:50,070
+التانية لأنه ماتنساش و ماتنسيش أنه أنا قلت بدي
+
+429
+00:32:50,070 --> 00:32:55,270
+أجسم ال data set ل N من ال partition ال H بتجسم ال
+
+430
+00:32:55,270 --> 00:32:59,710
+data set اللي هي ال 14 row ل 3 partitions أنا حصلت
+
+431
+00:32:59,710 --> 00:33:04,610
+خمسة مع الياث مع الياثو 4 rows مع ال middle و خمسة
+
+432
+00:33:04,610 --> 00:33:08,430
+هم الباقين هيكونوا مع مين مع ال senior تعالى نعد
+
+433
+00:33:08,430 --> 00:33:14,270
+مع ال senior senior
+
+434
+00:33:14,270 --> 00:33:21,250
+yes senior yes no
+
+435
+00:33:22,980 --> 00:33:28,620
+senior yes وهي قيمة الأخيرة yes معناته انا عندي مع
+
+436
+00:33:28,620 --> 00:33:35,160
+ال senior تنتين yes و تلاتة no اتنين و تلاتة
+
+437
+00:33:35,160 --> 00:33:41,780
+وبالتالي انا لازم احسب ال entropy لتنين و تلاتة ال
+
+438
+00:33:41,780 --> 00:33:46,340
+entropy هاي او ال information gain كيف حسبناها
+
+439
+00:33:46,340 --> 00:33:51,320
+قانونها معروف سابقا ماتنسوش او ماتنسوش مطلقا عبارة
+
+440
+00:33:51,320 --> 00:33:58,630
+عن ناقصفي مجموع ال probabilities للبي في log ال
+
+441
+00:33:58,630 --> 00:34:04,270
+binary log للبي ال probability وال I تسوى من واحد
+
+442
+00:34:04,270 --> 00:34:13,010
+لعدد ال classes ساميه C الآن
+
+443
+00:34:14,700 --> 00:34:17,760
+ال data set هاي مش احنا قولنا divide and conquer
+
+444
+00:34:17,760 --> 00:34:21,940
+جسمنا ال data set والان بدي اعيد نفس الشغل عليها
+
+445
+00:34:21,940 --> 00:34:25,000
+نفس الحسبة فبرحت انا بدي احسب ال information gain
+
+446
+00:34:25,000 --> 00:34:30,520
+لهاي وهد اللي المفروض تساوي ناقص مضروبة فيه تلاتة
+
+447
+00:34:30,520 --> 00:34:37,040
+على خمسة في log أيوة جداش في ال binary log صحيح
+
+448
+00:34:37,040 --> 00:34:43,800
+تلاتة على خمسة زائد اتنين على خمسة في logاثنين على
+
+449
+00:34:43,800 --> 00:34:49,600
+خمسة هذه ال intro بالأولى هذه جمعة الخير صفر ليش
+
+450
+00:34:49,600 --> 00:34:59,080
+ناقص اربعة على خمسة اربعة على خمسة اربعة على خمسة
+
+451
+00:34:59,080 --> 00:35:07,160
+اربعة على اربعة sorry اربعة على اربعة في log ال
+
+452
+00:35:07,160 --> 00:35:13,210
+binary للاربعة على اربعة اللي هي واحد صفرزائد صفر
+
+453
+00:35:13,210 --> 00:35:21,090
+على أربعة في log صفر على أربعة ومن ثم القيمة هذه
+
+454
+00:35:21,090 --> 00:35:24,430
+هتروح عندي وهذه هي نفس اللي فوق بس مع تغيير ال
+
+455
+00:35:24,430 --> 00:35:30,110
+terms اللي موجودة عندها بنفس الحسبة وبالتالي أنا
+
+456
+00:35:30,110 --> 00:35:33,450
+حسبتها في الجدول فطلعت معايا هيها
+
+457
+00:35:39,160 --> 00:35:43,280
+خلصت؟ لأ لسه مخلصش بقال علي خطوة واحدة عشان اعرف
+
+458
+00:35:43,280 --> 00:35:51,340
+ان ال gain تبعت ال age جديش بدي اروح اقوله ال gain
+
+459
+00:35:51,340 --> 00:35:56,140
+تبعت ال data set اللي كلها اللي هي جمع الاي للتسعة
+
+460
+00:35:56,140 --> 00:36:02,380
+وخمسة حسبناها point تسعة اربعة صفر في ال slide
+
+461
+00:36:02,380 --> 00:36:03,020
+السادق هي
+
+462
+00:36:06,330 --> 00:36:10,670
+لما حسبناها هان لكل ال data set ال gain او ال
+
+463
+00:36:10,670 --> 00:36:13,470
+intro لكل ال data set حسبت الان ال intro ل ال age
+
+464
+00:36:13,470 --> 00:36:19,210
+هيها الان الخطوة اللي هشتغل عليها انه بدي اجيب ال
+
+465
+00:36:19,210 --> 00:36:23,510
+information gain لكل واحد فيهم طبعا المفروض انا
+
+466
+00:36:23,510 --> 00:36:27,350
+ممكن اشتغل الخطوة هاي تباعا اجرح اقوله مباشرة الان
+
+467
+00:36:27,350 --> 00:36:35,550
+ال information gain لل age تساوي
+
+468
+00:36:36,360 --> 00:36:40,700
+أو الـ Gain للـ Age تساوي ال Entropy لكل ال data
+
+469
+00:36:40,700 --> 00:36:46,120
+set نقص ال Entropy تبع ال Age ال
+
+470
+00:36:46,120 --> 00:36:53,940
+Gain لل Age تساوي ال Entropy لل data set 0.94 ناقص
+
+471
+00:36:53,940 --> 00:37:02,900
+ال Entropy ل ال Age اللي موجود عندى 6.94تساوي طبعا
+
+472
+00:37:02,900 --> 00:37:06,620
+ممكن تشتغل الخطوة التالية تشتغل مع ال income بنفس
+
+473
+00:37:06,620 --> 00:37:09,200
+ال concept ال income في عندي برضه .. برضه هان في
+
+474
+00:37:09,200 --> 00:37:12,420
+عندي three different values ال income في عندي
+
+475
+00:37:12,420 --> 00:37:16,340
+three different values high و medium و low
+
+476
+00:37:16,340 --> 00:37:19,840
+توزيعتهم بنفس الكيفية و بحسب ال entropy ل ال yes و
+
+477
+00:37:19,840 --> 00:37:28,780
+ال no و هكذا هى حسبت ال entropy ل ال ..Informat ..
+
+478
+00:37:28,780 --> 00:37:32,880
+لل income ال intro بي ل ال student ال intro بي ل
+
+479
+00:37:32,880 --> 00:37:39,660
+مين ل ال credit rating الآن خطوة تالية هروح رحسب
+
+480
+00:37:39,660 --> 00:37:45,500
+ال information gain او ال gain تبعت ال age و ال
+
+481
+00:37:45,500 --> 00:37:50,660
+gain تبعت هنا في slides مفقودة المفروض انا شكلي
+
+482
+00:37:50,660 --> 00:37:54,420
+نسيها او ما شابه لأ هي نفس ال .. okay بس مش مفصلة
+
+483
+00:37:54,420 --> 00:38:01,550
+فحسبت ال gain لل ageالـ gain للـ age هي
+
+484
+00:38:01,550 --> 00:38:08,250
+عبارة عن الـ entropy لكل ال data 6.94% ناقص ال
+
+485
+00:38:08,250 --> 00:38:13,450
+entropy تبعت ال age اللي هي 694 من الف و هيكون
+
+486
+00:38:13,450 --> 00:38:19,370
+الفرق بينهم 246 من الف و روحت حسبت ال incomeأو ال
+
+487
+00:38:19,370 --> 00:38:25,090
+gain لل income ال gain لل student و ال gain لل
+
+488
+00:38:25,090 --> 00:38:29,630
+credit rating لاحظ ال credit rating اقل ما يمكن
+
+489
+00:38:29,630 --> 00:38:36,270
+اقل اصغر واحدة من العناصر الموجودة عندى اقل
+
+490
+00:38:36,270 --> 00:38:40,830
+واحدة مع ال income مالهاش كان الهاش اقل تأثيرا
+
+491
+00:38:42,420 --> 00:38:47,460
+الفكرة ان انا بدي اروح اخد او بدي اعمل split على
+
+492
+00:38:47,460 --> 00:38:56,160
+ال maximum gain لل attributes مين
+
+493
+00:38:56,160 --> 00:39:05,760
+ال maximum؟ هي لان 244 من 1000 اكبر من اكبر قيمة
+
+494
+00:39:05,760 --> 00:39:09,680
+موجودة فيهم اللي هي هنا مع ال studentوهذا بتديني
+
+495
+00:39:09,680 --> 00:39:12,040
+إشارة إن ممكن ال student تكون هي ال next element
+
+496
+00:39:12,040 --> 00:39:14,920
+اللي أنحمل عليه splitting لكن مش قضيتي في الآخر
+
+497
+00:39:14,920 --> 00:39:26,420
+أنا هاي الآن الآن ال data set هرجعلها ال
+
+498
+00:39:26,420 --> 00:39:30,660
+data set الآن هنعملها partitioning هي ال data set
+
+499
+00:39:30,660 --> 00:39:37,180
+كيف ال partition تبعتي؟ بيبقى إنه قال لي إن ال age
+
+500
+00:39:37,180 --> 00:39:43,030
+هي هتكون الأساسكل الروز المحوطة باللون الأحمر هذه
+
+501
+00:39:43,030 --> 00:39:49,510
+أو بين جثين التبعت اليف هتمثل
+
+502
+00:39:49,510 --> 00:39:56,030
+one data set خمسة
+
+503
+00:39:56,030 --> 00:40:00,950
+روز تمام؟
+
+504
+00:40:00,950 --> 00:40:05,930
+بعد هيك ال middle age لحالهم اللي باللون الأزرق
+
+505
+00:40:05,930 --> 00:40:07,010
+عمالي بحوط عليهم
+
+506
+00:40:15,180 --> 00:40:19,840
+هدولة أربعة .. أربعة وضلوا ال senior العناصر
+
+507
+00:40:19,840 --> 00:40:23,460
+الباقية يعني بين قوسين إن ال data ستة بقى هتنجسم
+
+508
+00:40:23,460 --> 00:40:28,020
+الآن بعد ما أخدت ال route أنا هيها بقول ال age هي
+
+509
+00:40:28,020 --> 00:40:32,220
+الأساس لإن هي صاحبة الأكبر gain هيها فبدي أجسم ال
+
+510
+00:40:32,220 --> 00:40:35,000
+data ستة بقى لل three values اللي موجودة عندي يعني
+
+511
+00:40:35,000 --> 00:40:38,940
+ال youth و ال middle age و ال senior ممتاز
+
+512
+00:40:44,580 --> 00:40:48,980
+جسمناهم هذه ال data set اللى موجودة عندى الآن على
+
+513
+00:40:48,980 --> 00:40:54,480
+السريع شو هروح أساوي هاخد كل data set لان لاحظ ان
+
+514
+00:40:54,480 --> 00:40:56,040
+عمود ال student اختفت
+
+515
+00:40:58,670 --> 00:41:03,170
+عمود ال age اختفت ..عمود ال age اختفت ..الان كل
+
+516
+00:41:03,170 --> 00:41:08,270
+واحدة من ال data set هشتغل عليها بشكل مستقل لحد ما
+
+517
+00:41:08,270 --> 00:41:13,150
+احقق واحد من الشروط التلاتة اما فعليا كل ال
+
+518
+00:41:13,150 --> 00:41:17,690
+attributes او كل ال symbols تمتم لنفس ال classأو
+
+519
+00:41:17,690 --> 00:41:21,290
+ماضلش فيه عندي more attributes أنا جسمها أو ماضلش
+
+520
+00:41:21,290 --> 00:41:24,450
+فيه عنده rows بعد هيك يعني بين جثين حاجة لهان الآن
+
+521
+00:41:24,450 --> 00:41:28,890
+و هشتغل عليها بشكل مستقل هذه الآن new data set
+
+522
+00:41:28,890 --> 00:41:34,490
+هحسبلها information لمين؟ هذه كلها خمس عناصر اتنين
+
+523
+00:41:34,490 --> 00:41:39,330
+و تلاتة هذه ال information اللي اديه كلها ال ID
+
+524
+00:41:39,330 --> 00:41:42,630
+تبعتي I
+
+525
+00:41:43,610 --> 00:41:49,410
+تلا .. اتنين لليس و تلاتة لل no وهذا تساوي سالب في
+
+526
+00:41:49,410 --> 00:41:55,770
+مجموع .. في مجموع او بلاش نحط المجموع هيها اتنين
+
+527
+00:41:55,770 --> 00:42:02,790
+على خمسة في log اتنين على خمسة زائد تلاتة على خمسة
+
+528
+00:42:02,790 --> 00:42:09,060
+في log تلاتة على خمسةهذه المعلومات لكل ال data set
+
+529
+00:42:09,060 --> 00:42:12,940
+هذه as all ممتاز الآن كم attribute موجود عندي؟
+
+530
+00:42:12,940 --> 00:42:16,060
+عندي three different attributes عندي ال income و
+
+531
+00:42:16,060 --> 00:42:19,500
+عندي ال age يعفو ال student و ال credit rating
+
+532
+00:42:19,500 --> 00:42:23,640
+هروح أحسب ال information لمين؟ هروح أبدأ أبني
+
+533
+00:42:23,640 --> 00:42:27,500
+الجدول الآن لل attribute الأول مش اتفقنا هيك هشتغل
+
+534
+00:42:27,500 --> 00:42:31,360
+مع كل جدول على السريع أنا هشتغل بس مع هذه و الخطوة
+
+535
+00:42:31,360 --> 00:42:34,900
+التانية حاطر للباقية حاطر كواقلك الآن
+
+536
+00:42:37,170 --> 00:42:42,950
+مع العمود الأول ال income قلت
+
+537
+00:42:42,950 --> 00:42:49,250
+ال value تبعت ال income بعد هيك في عندي ال yes
+
+538
+00:42:49,250 --> 00:42:55,150
+وعندي ال no وعندي ال intro بلا ال yes و ال no بناء
+
+539
+00:42:55,150 --> 00:42:59,090
+على العدد اللي موجود عندي وبالتالي كام value موجود
+
+540
+00:42:59,090 --> 00:43:05,010
+عندي انا هان عندي low و medium و high هي
+
+541
+00:43:05,010 --> 00:43:05,290
+low
+
+542
+00:43:08,440 --> 00:43:16,120
+medium و high عد العناصر الموجودة مع بعضنا الان مع
+
+543
+00:43:16,120 --> 00:43:24,500
+ال law عندي قيمة واحدة فقط لمين بتنتمي لل yes واحد
+
+544
+00:43:24,500 --> 00:43:33,560
+yes و هنا صفر معناته ال entropy لواحد و صفر اجي
+
+545
+00:43:33,560 --> 00:43:35,780
+ل ال medium medium عندي تنتين
+
+546
+00:43:43,250 --> 00:43:50,310
+واحد yes وواحد no معناته انترو بي لواحد وواحد وضل
+
+547
+00:43:50,310 --> 00:43:53,950
+في عندي height انتين وبينتميوا لنفس ال class
+
+548
+00:43:53,950 --> 00:43:59,710
+معناته صفر واثنين انترو بي لصفر واثنين وذا بذكر ان
+
+549
+00:43:59,710 --> 00:44:03,650
+هاي القانون السابق اللي اعتند عليه حصل بحسب ال
+
+550
+00:44:03,650 --> 00:44:08,810
+gain الآن او بحسب ال information لل attribute اللي
+
+551
+00:44:08,810 --> 00:44:15,860
+موجود عندي من خلالالـ summation كمان مرة عدد ال
+
+552
+00:44:15,860 --> 00:44:21,840
+data set زي ما قلنا جديش جامعة الخير خمسة الان
+
+553
+00:44:21,840 --> 00:44:31,420
+واحد على خمسة في I واحد و صفر زائد هذه ال
+
+554
+00:44:31,420 --> 00:44:40,050
+information اتنين على خمسة في Iواحد و واحد زائد
+
+555
+00:44:40,050 --> 00:44:49,530
+اتنين على خمسة اتنين على خمسة صحيح اتنين على خمسة
+
+556
+00:44:49,530 --> 00:44:58,530
+في ال I صفر
+
+557
+00:44:58,530 --> 00:45:04,690
+و اتنين بحصل على ال information gain اللي موجود
+
+558
+00:45:04,690 --> 00:45:12,160
+عندي هان بعد هيك بقوله ال gainتبعت ال income هتمثل
+
+559
+00:45:12,160 --> 00:45:21,900
+ال ID اللي عندي فوق ناقص ال I لل income اللي
+
+560
+00:45:21,900 --> 00:45:28,380
+موجودة عندها هحسبها و فتالي بحسب لهذه و بحسب لل
+
+561
+00:45:28,380 --> 00:45:31,780
+العناصر
+
+562
+00:45:31,780 --> 00:45:37,640
+اللي موجودة عندى تماملل student بعيد الكرة و لل
+
+563
+00:45:37,640 --> 00:45:41,780
+credit rating و صاحب ال attribute صاحب أكبر gain
+
+564
+00:45:41,780 --> 00:45:46,480
+هو اللي حكون فعليا انا هعتمد وين في ال .. في
+
+565
+00:45:46,480 --> 00:45:49,740
+الرسمة او في decision node التالية حسب الحسبة
+
+566
+00:45:49,740 --> 00:45:54,200
+تبعتي حسبناها سابقا لازم انتوا تكملوها للاخر حسب
+
+567
+00:45:54,200 --> 00:45:57,740
+الحسبة تبعتي ال student حصلت اعلى game ال student
+
+568
+00:45:57,740 --> 00:46:02,680
+تبعتي حصلت اعلى game و بالتالي انا الان هان هصير
+
+569
+00:46:02,680 --> 00:46:07,260
+في عند ال studentهي الـ Internal node الجاية وفيها
+
+570
+00:46:07,260 --> 00:46:13,680
+two different values حقسم ال data set بعد هيك حقسم
+
+571
+00:46:13,680 --> 00:46:16,860
+ال data set تبعا لل nodes اللي موجودة عندي هيك و
+
+572
+00:46:16,860 --> 00:46:20,960
+بهكد صارت كل ال nodes بتنتمي لنفس ال class كل ال
+
+573
+00:46:20,960 --> 00:46:24,620
+samples بتنتمي لنفس ال class فهان بوقف هذه already
+
+574
+00:46:24,620 --> 00:46:28,260
+كلها بتنتمي لنفس ال class فانا وقفت هان ووقفت هان
+
+575
+00:46:28,260 --> 00:46:31,540
+هتكون ال final tree تبعتي طبعا هي الحسبة اللي
+
+576
+00:46:31,540 --> 00:46:36,430
+عندناها مرة تانية انا في الآخرالـ Tree تبعتي أحصل
+
+577
+00:46:36,430 --> 00:46:40,330
+عليها اللي احنا شفناها مسبقا المفروض قبل ما يبدأ
+
+578
+00:46:40,330 --> 00:46:50,130
+بالشغل اللي هي هذه ال income مابينتش عندي لإن
+
+579
+00:46:50,130 --> 00:46:54,770
+فعليا وزنها كان لا يذكر مقارنة بال data set و لما
+
+580
+00:46:54,770 --> 00:46:57,570
+أنا ماضلش عندي rows أو ماضلش عندي sample أروح
+
+581
+00:46:57,570 --> 00:47:01,650
+أجسمها الآن عشان
+
+582
+00:47:02,490 --> 00:47:06,390
+مانطولش عليكم بعد ما حسبنا العناصر اللي موجودة
+
+583
+00:47:06,390 --> 00:47:11,430
+عندها في ال continuous attributes في حالة ال
+
+584
+00:47:11,430 --> 00:47:14,470
+attributes اللي عندك continuous attribute ايش الحل
+
+585
+00:47:14,470 --> 00:47:19,610
+اعمل discretization اعملها categories جسمها لفئات
+
+586
+00:47:19,610 --> 00:47:22,830
+استخدم ال binning و اعطي label لكل bin و اشتغل
+
+587
+00:47:22,830 --> 00:47:28,710
+عليها بتكاشي تشتغل عليك في حل بسيط جدا الحل بيقولك
+
+588
+00:47:28,710 --> 00:47:33,760
+رتب ال data set تبع لل items اللي موجودة عندكرتبت
+
+589
+00:47:33,760 --> 00:47:38,260
+ال items تمام فصارت ال data sorted ان في حال كانت
+
+590
+00:47:38,260 --> 00:47:43,260
+عندي ال age عبارة عن number صار عندي تمنتعش خمسة و
+
+591
+00:47:43,260 --> 00:47:48,780
+عشرين تلاتين سبعة و تلاتين اربعين الان انت بقى
+
+592
+00:47:48,780 --> 00:47:55,500
+تيجي تفحص بين كل two nodes يعني هتاخد
+
+593
+00:47:55,500 --> 00:48:00,200
+ال midpoint اللي بين هدول الاتنين او الأسهل لك
+
+594
+00:48:01,200 --> 00:48:03,600
+فعلاً هي عبارة عن Discretization لكنها Binary
+
+595
+00:48:03,600 --> 00:48:07,780
+Discretization مع الأرقام انت ايش المقارنات تبعتك؟
+
+596
+00:48:07,780 --> 00:48:12,460
+اما هتقوللي أقل إذا قولت أقل من كده فهي أكبر أو
+
+597
+00:48:12,460 --> 00:48:16,340
+تساوي كده إذا قولت أكبر من أكبر من أو تساوي كده
+
+598
+00:48:16,340 --> 00:48:19,280
+فهي أقل من كده عكسها تماما فحكون بشغل عليها مع
+
+599
+00:48:19,280 --> 00:48:23,080
+binary يعني بين جسين بصير باخد decision هان بقوله
+
+600
+00:48:23,080 --> 00:48:30,500
+أقل أو تساوي خمسة وعشرين طب ما هي تمنتعش باجي هان
+
+601
+00:48:33,210 --> 00:48:39,230
+أقل أو تساوي تلاتين معتوا هدول في partitions و
+
+602
+00:48:39,230 --> 00:48:42,190
+هدول في partitions مع ال continuous attributes إذا
+
+603
+00:48:42,190 --> 00:48:45,830
+انت بدك تشتغل مع ال continuous values معناته انت
+
+604
+00:48:45,830 --> 00:48:49,990
+هيكون في عندك too many partitions لحد ما تصل ل
+
+605
+00:48:49,990 --> 00:48:55,300
+best point اللي بتعمل splitيعني هحسب الآن الجسم
+
+606
+00:48:55,300 --> 00:48:58,920
+كده كانت هان و لا لما كانوا تنتين و تلاتة و لما
+
+607
+00:48:58,920 --> 00:49:03,160
+كانوا تلاتة و اتنين و تجرب كلهم و تاخد أعلى gene
+
+608
+00:49:03,160 --> 00:49:06,900
+فيهم لأن في الآخر أنا بدور على ال gene لكل ال data
+
+609
+00:49:06,900 --> 00:49:12,320
+set تبعتي اللي موجودة عندي هان الان هدف الموضوع ال
+
+610
+00:49:12,320 --> 00:49:15,810
+spring لل continuous valuesلكن الـ Information
+
+611
+00:49:15,810 --> 00:49:21,330
+Game دائما بيحاز للـ attributes أو للـ test اللي
+
+612
+00:49:21,330 --> 00:49:25,230
+بيكون فيها two أو فيها many outcomes اللي فيها
+
+613
+00:49:25,230 --> 00:49:30,490
+values كتيرة عشان هي كانت في الأول عندى ال age
+
+614
+00:49:30,490 --> 00:49:33,190
+كانت هي أكثر ال values اللي موجودة جالك ممكن احنا
+
+615
+00:49:33,190 --> 00:49:37,070
+نحل هذه المشكلة و نعتمد أو نحاول نقضي على موضوع
+
+616
+00:49:37,070 --> 00:49:39,930
+انحياز ال values الكتيرة اللي هي موضوع ال gain
+
+617
+00:49:39,930 --> 00:49:43,500
+ratioالـ Gain Ratio فكرتها يا جماعة الخير انه انا
+
+618
+00:49:43,500 --> 00:49:48,240
+بده اروح احسب ال split info احنا سابقا كانت هذه
+
+619
+00:49:48,240 --> 00:49:52,240
+القيمة موجودة عندنا هي عدد عناصر ال partition على
+
+620
+00:49:52,240 --> 00:49:56,200
+.. على كل ال partition في موضوع ال probability لكل
+
+621
+00:49:56,200 --> 00:49:58,660
+ال partition اللي موجودة عندها و بعد ما بحسب ال
+
+622
+00:49:58,660 --> 00:50:02,280
+gain بروح بحط عليها ال split ratio و هيك برضه برجع
+
+623
+00:50:02,280 --> 00:50:07,180
+باخد ال maximum split ratio كذلك في عند ال gain
+
+624
+00:50:07,180 --> 00:50:13,020
+indexبيعتمد على الـ Multi-Valued Attributes بشكل
+
+625
+00:50:13,020 --> 00:50:19,340
+كبير الـ Ched بيعتمد على الـ Chi-Square عشان تحسب
+
+626
+00:50:19,340 --> 00:50:21,420
+الـ Independences أو في موضوع الـ Independences
+
+627
+00:50:21,420 --> 00:50:24,980
+وفي عند الكارت وإلى أخرى أي واحدة منهم أنا أختار
+
+628
+00:50:24,980 --> 00:50:28,580
+لعشان أنا أشتغل مافيش فرق ما بينهم كتير انت حسب ال
+
+629
+00:50:28,580 --> 00:50:32,500
+data set وحسب فهمك ال data set ممكن تختار أي واحدة
+
+630
+00:50:32,500 --> 00:50:36,810
+منهم لكن الأكثر عفواالأكتر استخداما الـ
+
+631
+00:50:36,810 --> 00:50:40,990
+Information Gain ومن ثم الجني أو العكس احنا بهيك
+
+632
+00:50:40,990 --> 00:50:44,190
+بنكون تقريبا خلصنا وضع لعينا one slide خلينا
+
+633
+00:50:44,190 --> 00:50:51,390
+ننهيها الآن رسمت لتري وحصلت على لتري و ال data set
+
+634
+00:50:51,390 --> 00:50:56,290
+تبعت كبيرة و كانت ال depth أو عمق الشجرة تبعت كتير
+
+635
+00:50:56,290 --> 00:51:01,370
+عالية طب ايش الحل؟ هاد احنا بنسميها ال tree هاد ..
+
+636
+00:51:01,370 --> 00:51:06,880
+او بيحصلنا على مرحلة اسمها ال overfittingمشكلة إنه
+
+637
+00:51:06,880 --> 00:51:10,900
+الـTree هذه جابته تماما مع مين؟ مع الـTraining
+
+638
+00:51:10,900 --> 00:51:14,060
+Data اللي أنا بديتها Overfit Fit يا شباب مناسب
+
+639
+00:51:14,060 --> 00:51:19,440
+ولمّا أقول Overfit مناسب بدرجة كبيرة لمين؟ للحالة
+
+640
+00:51:19,440 --> 00:51:23,240
+اللي هذه، يعني بين جوسينت وكأنه الشجرة هذه زبطت
+
+641
+00:51:23,240 --> 00:51:27,320
+حالها تماما مع الـDataset طب غير هي كانت لأ بتديني
+
+642
+00:51:27,320 --> 00:51:31,700
+مشاكل إيش الحل؟ الـOverfitting مع الـBinary Tree
+
+643
+00:51:31,700 --> 00:51:34,620
+أو مع الـDecision Tree بيعني Too Many Branches
+
+644
+00:51:37,860 --> 00:51:41,240
+ممكن يعكس الـ outlayer لو كان في عندي outlayer
+
+645
+00:51:41,240 --> 00:51:44,620
+موجودة عندي هان و بديني بور accuracy for unseen
+
+646
+00:51:44,620 --> 00:51:48,580
+هذا المفهوم ال outfitting ال overfitting ال
+
+647
+00:51:48,580 --> 00:51:51,880
+overfitting يعني اتنا سوات اكثر مع ال data set
+
+648
+00:51:51,880 --> 00:51:56,190
+اللي انا عملت عليها trainingو غير صالحة للـ .. للـ
+
+649
+00:51:56,190 --> 00:51:59,150
+correct prediction مع الـ unseen إيش الحل؟ في عندي
+
+650
+00:51:59,150 --> 00:52:02,150
+two approaches طبعا انت مش هتشتغل ولا واحد فيهم
+
+651
+00:52:02,150 --> 00:52:05,410
+هيتم الشغل تلقائي المفروض من خلال الـ python pre
+
+652
+00:52:05,410 --> 00:52:09,090
+-pruning انه انا فعليا ال attributes أو أدور على
+
+653
+00:52:09,090 --> 00:52:11,190
+ال attributes أو ال weak attribute و أخلص منها من
+
+654
+00:52:11,190 --> 00:52:19,550
+البداية انه .. ان اربط بناء الشجرة بالإيه؟ do not
+
+655
+00:52:19,550 --> 00:52:21,530
+split a node if ..
+
+656
+00:52:26,240 --> 00:52:28,680
+مالهاش علاقة كتير بالـ threshold الموجود يعني بين
+
+657
+00:52:28,680 --> 00:52:32,040
+جوسين أروح أحط minimum للـ threshold مش احنا قولنا
+
+658
+00:52:32,040 --> 00:52:36,500
+ال gain .. المفروض .. ال gain تبعتي أعلى gain طب
+
+659
+00:52:36,500 --> 00:52:38,780
+مابديش بس أحط gain أعلى gain و أروح أعمل .. و ألخ
+
+660
+00:52:38,780 --> 00:52:42,420
+.. و ألخم حالي في كل الحسبات لأ كمان هدول اللي تحت
+
+661
+00:52:42,420 --> 00:52:46,260
+اللي بدون gain قليلة من أول مرة بده أروح كلهم بدي
+
+662
+00:52:46,260 --> 00:52:50,160
+أعملهم neglect و مابديش إياهم طبعا هاي حيكون في
+
+663
+00:52:50,160 --> 00:52:53,400
+عندي تحدي كيف ممكن أختار ال threshold الصحيحة ال
+
+664
+00:52:53,400 --> 00:52:58,310
+boss browning بعد ما أنابنيت الشجرة بالكامل أروح
+
+665
+00:52:58,310 --> 00:53:03,150
+أبدأ أجشبر فيها بعبرة لإني أروح أفحص مين الأكثر
+
+666
+00:53:03,150 --> 00:53:06,970
+rows أو أكثر branches مستخدمة هي اللي أبقيها و
+
+667
+00:53:06,970 --> 00:53:11,450
+الأقل استخداما أخلص منها حسب ال data set اللي
+
+668
+00:53:11,450 --> 00:53:15,430
+موجود عندى أخر خطوة أو أخر slide في موضوع في موضوع
+
+669
+00:53:15,430 --> 00:53:18,630
+كي بدى أستدعيها الخطوات السابقة في ال python نفسها
+
+670
+00:53:18,630 --> 00:53:22,590
+from sklearn.tree import decision tree classifier
+
+671
+00:53:24,140 --> 00:53:27,880
+الموديل الـ Decision Tree Classifier عملت له fit
+
+672
+00:53:27,880 --> 00:53:31,720
+قلت له و هذه الجزئية في السطر هذا بتنبنى الشجرة
+
+673
+00:53:31,720 --> 00:53:36,500
+الآن ال
+
+674
+00:53:36,500 --> 00:53:39,340
+sample test نفسها لان شغالة نفسي بدا تست معاكم من
+
+675
+00:53:39,340 --> 00:53:44,060
+البداية جربتها مع ال kenia sniper وجربتها معالنايف
+
+676
+00:53:44,060 --> 00:53:48,840
+بايسين اروح تعمل ال test و هنحددني setosa بكل
+
+677
+00:53:48,840 --> 00:53:53,600
+تأكيد وبهيك بنكون احنا فعليا انتهينا من موضوع ال
+
+678
+00:53:53,600 --> 00:53:57,040
+decision tree لمحاضرتنا اليوم المطلوب بينكوا
+
+679
+00:53:57,040 --> 00:53:59,500
+تجربوا يا جماعة الخير في عندنا different data set
+
+680
+00:53:59,500 --> 00:54:02,780
+موجودة في ال slide سابقا جربوا الكلام هذا عليها و
+
+681
+00:54:02,780 --> 00:54:05,000
+جربوا الكلام عليها هذا كلام عليها يعني بينجو سين
+
+682
+00:54:05,000 --> 00:54:08,470
+هذا الكلام مش هتتقنوه من مرة و تنتين و تلاتةالشغل
+
+683
+00:54:08,470 --> 00:54:12,130
+التاني اللي بدي اياها منكوا بعد تجريب العمل يبدو
+
+684
+00:54:12,130 --> 00:54:15,730
+تعتبروها ك assignment عليكم الآن تبدو تروح تفكروا
+
+685
+00:54:15,730 --> 00:54:18,570
+او تدورولي كيف ممكن انا اذا كانت هذه عبارة عن ال
+
+686
+00:54:18,570 --> 00:54:21,930
+tree بعد ما انا عملتلها فت هل في مجال ارسم ال tree
+
+687
+00:54:21,930 --> 00:54:25,690
+تبعت بال بايثون اه في مجال وهذه متروكة لكم والسلام
+
+688
+00:54:25,690 --> 00:54:27,470
+عليكم ورحمة الله وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4.srt
new file mode 100644
index 0000000000000000000000000000000000000000..451a318463c61d82907fd0a93cceb5b070173ea9
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4.srt
@@ -0,0 +1,2702 @@
+1
+00:00:05,040 --> 00:00:07,160
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,160 --> 00:00:11,860
+أهلا وسهلا بكم يا شباب في محاضرتنا الثانية في
+
+3
+00:00:11,860 --> 00:00:16,180
+موضوع الـclassification. كنا حكينا في المحاضرة
+
+4
+00:00:16,180 --> 00:00:20,100
+الماضية أن موضوع الـclassification هي عبارة عن
+
+5
+00:00:20,100 --> 00:00:26,320
+تحديد عضوية المجموعات المعروفة. على سبيل المثال لو
+
+6
+00:00:26,320 --> 00:00:31,920
+قلت أنا بدي... في عندي تلك مجموعات طلاب... في عندي
+
+7
+00:00:31,920 --> 00:00:35,340
+تلك مجموعات للطلاب: مجموعات الامتياز، ومجموعات
+
+8
+00:00:35,340 --> 00:00:41,180
+الجيد جداً، ومجموعة الجيد. الآن جئنا قلنا والله
+
+9
+00:00:41,180 --> 00:00:46,940
+في عندنا سين من الناس أو سين من الطلاب. الآن سين من
+
+10
+00:00:46,940 --> 00:00:51,180
+الطلاب هذا لازم يصنف أو لازم ينتمي لوحدة من
+
+11
+00:00:51,180 --> 00:00:56,530
+المجموعات الثلاث بناءً على ماذا؟ على معدله، ولا
+
+12
+00:00:56,530 --> 00:01:01,030
+لا، على المعدل. إن كان شرطنا أن المعدلات هذه معروفة
+
+13
+00:01:01,030 --> 00:01:06,790
+تبعاً لمستواهم أو تحصيلهم العلمي. لأن هذا التصنيف
+
+14
+00:01:06,790 --> 00:01:09,670
+لاحظ أن أنا ماليش سلطة كثيرة على المجموعات.
+
+15
+00:01:09,670 --> 00:01:13,570
+المجموعات already predefined. الآن بدي أحاول أعرف
+
+16
+00:01:13,570 --> 00:01:16,690
+خصائص كل مجموعة، ماذا... ما معدلات الامتياز، أو ماذا
+
+17
+00:01:16,690 --> 00:01:20,010
+خصائص الأشخاص أصحاب الامتياز، خصائص المجموعة
+
+18
+00:01:20,010 --> 00:01:23,470
+الأولى، ما خصائص المجموعة الثانية، ما خصائص
+
+19
+00:01:23,470 --> 00:01:26,670
+المجموعة الثالثة. وسين من الطلاب هذا هو الـ
+
+20
+00:01:26,670 --> 00:01:29,070
+instance اللي عندي اللي أنا بدي أضيفه لمجموعة من
+
+21
+00:01:29,070 --> 00:01:33,050
+المجموعات الثلاث. بدي أشوف إيش الخصائص اللي عنده،
+
+22
+00:01:33,050 --> 00:01:36,770
+و التي تتقاطع مع أي خصائص من المجموعات الثلاث. وبناءً
+
+23
+00:01:36,770 --> 00:01:40,600
+عليه، هكذا أنا أصنفُه للمجموعة التي لدينا.
+
+24
+00:01:40,600 --> 00:01:43,680
+وكنا قد تكلمنا في الـlearning، الـmachine learning
+
+25
+00:01:43,680 --> 00:01:47,340
+كون تقنيات بشكل عام فيها supervised و unsupervised
+
+26
+00:01:47,340 --> 00:01:50,920
+تبعاً هل الإنسان متدخل أو غير متدخل في الموضوع.
+
+27
+00:01:50,920 --> 00:01:54,420
+و قلنا أن موضوع الـlearning أيضاً incrementally، هل
+
+28
+00:01:54,420 --> 00:01:58,760
+هو batch أو online؟ وقلنا أيضاً في عندي model based
+
+29
+00:01:58,760 --> 00:02:03,120
+أو instance based، بناءً على هل الـalgorithm هذا يُخرج
+
+30
+00:02:03,120 --> 00:02:06,040
+تبع الـalgorithm، الـmachine learning، يُعطيني model
+
+31
+00:02:06,040 --> 00:02:10,540
+أو لا يُعطيني model. قلنا في الآخر بكل الأحوال أنا
+
+32
+00:02:10,540 --> 00:02:14,220
+عندي خيطين في أي عملية classification: الـmodel
+
+33
+00:02:14,220 --> 00:02:18,860
+construction: كيف أنا بدي أكون في عندي function لما
+
+34
+00:02:18,860 --> 00:02:24,810
+أنا أُعطِيها الـobject، تذهب وتصنفُه تحت المصنفات
+
+35
+00:02:24,810 --> 00:02:29,110
+المعروفة مسبقاً، و الـmodel usage: كيف أنا بدي
+
+36
+00:02:29,110 --> 00:02:33,190
+أستخدم الـmodel الموجود هنا. وقلنا عادةً أنا بأقسم
+
+37
+00:02:33,190 --> 00:02:36,390
+الـdata set تبعتي لـtraining set و testing set
+
+38
+00:02:36,390 --> 00:02:39,550
+عشان أعمل evaluation. ومن أهم الـconcept اللي لازم
+
+39
+00:02:39,550 --> 00:02:43,190
+أنا أعرفه الـaccuracy، وهي المقدار أو الـratio تبع
+
+40
+00:02:43,190 --> 00:02:46,760
+الـcorrect prediction، الـcorrect classification
+
+41
+00:02:46,760 --> 00:02:50,360
+على كل الـinstances اللي عملت لها classification.
+
+42
+00:02:50,360 --> 00:02:54,240
+وقلنا لـspeed و robustness،  جدّيش بيُعطيني result
+
+43
+00:02:54,240 --> 00:02:58,640
+صحيحة مع وجود الـnoisy data.  الـscalability والـ
+
+44
+00:02:58,640 --> 00:03:01,860
+interpretability حكينا عليهم، وكان المفروض اليوم
+
+45
+00:03:01,860 --> 00:03:06,420
+إن شاء الله تعالى نبدأ مع الـalgorithms، ونشوف كيف
+
+46
+00:03:06,420 --> 00:03:08,720
+الـalgorithm قاعدة بتشتغل مع العناصر التي موجودة
+
+47
+00:03:08,720 --> 00:03:13,570
+عندي أو في الـclassification. وأول algorithm بيشتغل
+
+48
+00:03:13,570 --> 00:03:17,670
+أو هنتكلم عليه الـK nearest neighbor. الآن K
+
+49
+00:03:17,670 --> 00:03:21,410
+nearest neighbor، شو يعني nearest neighbor في الأول؟
+
+50
+00:03:21,410 --> 00:03:27,710
+أقرب جار. أقرب جار. لو أنا جئت اسمك هاني، هاني بدي
+
+51
+00:03:27,710 --> 00:03:32,410
+أعرف هاني جيداً.
+
+52
+00:03:32,410 --> 00:03:37,490
+ماذا يمكن أن أفعل؟ أذهب وأطبق، من هم أصحاب هاني، من
+
+53
+00:03:37,490 --> 00:03:45,200
+هم أصحاب هاني المقربون. وبناءً عليه نقول إن هاني صفاته
+
+54
+00:03:45,200 --> 00:03:49,840
+بصفات الناس اللي أنا بعرفهم من مين؟ من أصحابه أو من
+
+55
+00:03:49,840 --> 00:03:53,380
+جيرانه. Can your neighbor. يعني أنا بدي أحط لهم عدد
+
+56
+00:03:53,380 --> 00:03:57,450
+من الأقرب: اثنين لهاني، من الأقرب ثلاثة، من الأقرب خمسة، و
+
+57
+00:03:57,450 --> 00:04:01,150
+هنتكلم لماذا الـK هذه، وما أهميتها. الـnaive bayesian
+
+58
+00:04:01,150 --> 00:04:04,270
+هو أنا بعتمد على probability. decision tree. هنتشوف
+
+59
+00:04:04,270 --> 00:04:07,930
+كيف ممكن أنا أبني decision بناءً على العناصر هذه، و
+
+60
+00:04:07,930 --> 00:04:11,230
+بعدين ننتقل لباقي الـpropagate، الـneural network. نبدأ
+
+61
+00:04:11,230 --> 00:04:15,010
+مع الـK nearest neighbor. الـK nearest neighbor هو
+
+62
+00:04:15,010 --> 00:04:19,850
+عبارة عن instance based learning. التصنيف الأخير
+
+63
+00:04:19,850 --> 00:04:23,610
+خالص، لما قلت إنه هل الـalgorithm تبعي بيبني لي
+
+64
+00:04:23,610 --> 00:04:28,020
+model أم لا يُبني لي model؟ يُعطيني value مباشرةً. الـ
+
+65
+00:04:28,020 --> 00:04:30,780
+K nearest neighbor من الـalgorithms اللي ما بتعطيني
+
+66
+00:04:30,780 --> 00:04:37,020
+model، بتعطيني نتيجة... بتعطيني نتيجة، وبالتالي it
+
+67
+00:04:37,020 --> 00:04:40,460
+doesn't use any model to fit...  لا يُبني model
+
+68
+00:04:40,460 --> 00:04:47,060
+مطلقاً... it's only based on memory. فقط تعتمد على
+
+69
+00:04:47,060 --> 00:04:51,040
+الذاكرة. لماذا الذاكرة؟ لأنه فعلياً عملية الحساب كلها
+
+70
+00:04:51,040 --> 00:04:55,460
+تتم في الـmemory. وكلما كانت الـmemory أكبر، لأن
+
+71
+00:04:55,460 --> 00:05:01,100
+الـdata set أكبر، يكون أنسب الـK-nearest neighbor ك
+
+72
+00:05:01,100 --> 00:05:04,240
+classification algorithm. بتعطيني نتيجة أو نتيجة
+
+73
+00:05:04,240 --> 00:05:13,400
+تبعته أو الـclass بناءً على الـmajority أو الأغلبية
+
+74
+00:05:13,400 --> 00:05:22,400
+في جيران العنصر هذا. لو أنا جئت قلت في عندي مجموعة
+
+75
+00:05:22,400 --> 00:05:23,020
+من الأشخاص.
+
+76
+00:05:50,980 --> 00:05:56,060
+قلنا أخونا هذا أو صاحبنا هذا بدنا نحطه لمجموعة من
+
+77
+00:05:56,060 --> 00:06:02,460
+المجموعتين، ماذا سنفعل؟ الـ
+
+78
+00:06:02,460 --> 00:06:06,160
+K-nearest neighbor algorithm أو الـKNN algorithm
+
+79
+00:06:06,160 --> 00:06:13,880
+يشتغل كالتالي: يقول احسب الفرق ما بين العنصر هذا و
+
+80
+00:06:13,880 --> 00:06:21,380
+كل العناصر التي موجودة. يعني  أقارن أنا العنصر هذا
+
+81
+00:06:21,380 --> 00:06:26,160
+مع هذا، ومع هذا، ومع هذا، ومع هذا، ومع هذا، ومع
+
+82
+00:06:26,160 --> 00:06:31,520
+هذا كـinstance، كـobject، بغض النظر عن طريقة
+
+83
+00:06:31,520 --> 00:06:39,420
+المقارنة، وأقارنه أيضاً مع
+
+84
+00:06:39,420 --> 00:06:45,340
+كل الأشخاص هؤلاء. لاحظ أن أنا ضمنت كل الـdata set
+
+85
+00:06:45,340 --> 00:06:49,950
+التي موجودة عندي. أُصبت؟ يعني إذا كانت هؤلاء هم الـ
+
+86
+00:06:49,950 --> 00:06:53,110
+data set في الـtwo classes، فأنا ضمنت كل الـdata
+
+87
+00:06:53,110 --> 00:06:57,810
+set. الآن نشوف، يذهب ويقول لي الـK nearest neighbor
+
+88
+00:06:57,810 --> 00:07:03,950
+من هم أقرب الناس كانوا إليه؟ أقرب الناس كانوا إليه، أقرب
+
+89
+00:07:03,950 --> 00:07:07,570
+ثلاثة.
+
+90
+00:07:07,570 --> 00:07:14,810
+هؤلاء.
+
+91
+00:07:22,800 --> 00:07:30,980
+مضبوط؟ أقرب ثلاثة هؤلاء للناس، فهو سينتمي لنفس
+
+92
+00:07:30,980 --> 00:07:35,920
+المجموعة التي فيها غالبية الـclosest neighbors.
+
+93
+00:07:35,920 --> 00:07:42,080
+هؤلاء، ما الغالبية هنا؟ أزرق. فأخونا هذا ينضم لمن؟
+
+94
+00:07:42,080 --> 00:07:47,290
+للأزرق بناءً على مبدأ الـvoting للمجاورة أو حساب
+
+95
+00:07:47,290 --> 00:07:51,450
+المجاورة أو الأغلبية تبع الأشخاص أو تبع العناصر
+
+96
+00:07:51,450 --> 00:07:56,650
+الموجودة عنده. يعني يا إيهاب، تأخذ وقت كثير أكيد، أو
+
+97
+00:07:56,650 --> 00:07:59,230
+تشوف الـmean مثلاً من الجهة الأولى، والـmean
+
+98
+00:07:59,230 --> 00:08:11,730
+الثانية، وتشوف من أقرب درجة. اه، بس الآن هاي
+
+99
+00:08:11,730 --> 00:08:12,690
+الـcenter، صحيح؟
+
+100
+00:08:19,480 --> 00:08:24,340
+وهي الـcenter تبع المجموعة الثانية. إذا أنا هنا
+
+101
+00:08:24,340 --> 00:08:34,140
+أو بلاش إذا، أنا هنا المسافة للـcenter أكبر من
+
+102
+00:08:34,140 --> 00:08:43,980
+المسافة للـcenter، بينما كعناصر أنا أقرب هنا. نعم.
+
+103
+00:08:43,980 --> 00:08:47,120
+خليناها.
+
+104
+00:08:49,960 --> 00:08:52,440
+ونشوف من أبعد واحد من أنا، مراقبة، يعني مش أنه
+
+105
+00:08:52,440 --> 00:08:57,660
+مقارنة كذلك، بس المهم أنا الآن كريم... كريم يحمل
+
+106
+00:08:57,660 --> 00:09:05,180
+صفات صاحبه القريب منه الذي دائماً ملازم له، مش على
+
+107
+00:09:05,180 --> 00:09:09,340
+الذي بعيد، ولا؟ يعني زي النقطة، نحن بنعمل زي الـ
+
+108
+00:09:09,340 --> 00:09:15,460
+cut للـpicture اللي بدنا، والغراف ده، طيب، أعطيني
+
+109
+00:09:15,460 --> 00:09:18,060
+كلام، اترك لي من الـdimension معين، عشان... أعطيني كلام
+
+110
+00:09:18,060 --> 00:09:22,820
+أبسط، عشان أنا في الغراف مجد... طيب، طبعاً عندنا كثير
+
+111
+00:09:22,820 --> 00:09:26,580
+يعني مثلاً عندنا مئة ألف، تمام. والنقطة اللي بدنا
+
+112
+00:09:26,580 --> 00:09:30,920
+نعرفها، فإنهي، وفإنهي. وواحدة ضابطة حوالي مثلاً عشرين، اه.
+
+113
+00:09:36,820 --> 00:09:39,300
+طيب، ماهي... مهمش... بقى أنت الرسم ال... الوجد اللي
+
+114
+00:09:39,300 --> 00:09:42,600
+أنت أخذته في رسم العناصر هو عبارة عن computation
+
+115
+00:09:42,600 --> 00:09:46,720
+لما ذهبت جلبت العشرين... لا، لما أنت ذهبت جلبت العشرين
+
+116
+00:09:46,720 --> 00:09:50,240
+ووضعت النقطة هذه بينهم، أنت already عملت الـ
+
+117
+00:09:50,240 --> 00:09:53,040
+computation كله.  عشان تقدر تجيبهم في نفس النقطة.
+
+118
+00:09:53,040 --> 00:09:57,960
+بقعه على الرسم، ولا كيف؟ إن وضعت النقطة هذه أبعد من
+
+119
+00:09:57,960 --> 00:10:01,760
+هذه بالمسافة هذه بالتحديد، وهذه أبعد، برضه أنت
+
+120
+00:10:01,760 --> 00:10:03,580
+عملت هنا قياس بالمثل.
+
+121
+00:10:06,130 --> 00:10:10,230
+كيف حددت المائتي ألف أن هؤلاء هم الأقرب؟ المائتي؟
+
+122
+00:10:10,230 --> 00:10:12,610
+اه، أو المائتي عنصر هؤلاء... كيف أنت حددتهم أن هؤلاء
+
+123
+00:10:12,610 --> 00:10:16,750
+الأقرب؟ كيف عرفت الـposition تبعها أن هؤلاء الـ
+
+124
+00:10:16,750 --> 00:10:22,730
+مائتي هم الأقرب لها؟ فعلياً مررت عليهم جميعاً؟ مضبوط؟
+
+125
+00:10:22,730 --> 00:10:25,850
+أم أنا مخطئ؟ أنت الآن أيضاً، مرة أخرى، أنا عندي مئة ألف
+
+126
+00:10:25,850 --> 00:10:29,710
+عندي
+
+127
+00:10:29,710 --> 00:10:34,010
+مئة ألف instance، أنت تعمل وتقول لي أنا حددت الـ
+
+128
+00:10:34,010 --> 00:10:38,620
+مئتي نقطة الأقرب، كيف حددت المئتي نقطة الأقرب من
+
+129
+00:10:38,620 --> 00:10:45,000
+المئة ألف؟ مرت عليهم جميعاً، أنت تقول أنا اعتمدت
+
+130
+00:10:45,000 --> 00:10:47,980
+الرسم. ما هو الرسم أيضاً هو نفسه لنفس الكلام، هو عبارة
+
+131
+00:10:47,980 --> 00:10:50,940
+عن تحديد النقاط، ويجب أن يرسم لك إياهم أو يعمل لهم
+
+132
+00:10:50,940 --> 00:10:57,180
+simulation تبع للـdistance أو قربهم من بعضهم، تمام.
+
+133
+00:10:57,180 --> 00:11:01,200
+تمام.
+
+134
+00:11:05,870 --> 00:11:09,630
+إذا لم يوجد، يعني صفر فقط، كم نزيد؟ عشرين، ممتاز، ممتاز.
+
+135
+00:11:09,630 --> 00:11:12,670
+يعني أنت بدأت بشكل random مع عشرة سم، وهل في
+
+136
+00:11:12,670 --> 00:11:17,070
+عناصر في العشرة سم، أم لا؟ ماشي الحال، وبعد
+
+137
+00:11:17,070 --> 00:11:24,250
+هذا ماذا فعلت؟ زدت المسافة. طيب، إيه أساساً أساساً
+
+138
+00:11:24,250 --> 00:11:28,050
+النقطة تبعك، النقطة تبعك أين موجودة؟ ستقول التي
+
+139
+00:11:28,050 --> 00:11:31,790
+موجودة في XY، صحيح؟
+
+140
+00:11:32,780 --> 00:11:35,880
+أصبت، لا، ليس أسهل، أنا أُدقق أنني لست أسهل، هي
+
+141
+00:11:35,880 --> 00:11:43,520
+النقطة هنا، عشان تحدد النقاط التي في القطر عشرة
+
+142
+00:11:43,520 --> 00:11:48,060
+سم أو نصف قطر عشرة، بدك تمر على كل النقاط عشان
+
+143
+00:11:48,060 --> 00:11:52,060
+تعرف من هي النقاط التي تبعد عن القطر هذا، وتجيبهم.
+
+144
+00:11:55,650 --> 00:11:59,390
+مش بعد المحاولة، أنا أظل أُناقش معك، لماذا؟ لأنه في
+
+145
+00:11:59,390 --> 00:12:03,450
+الآخر، الشغل اللي أنت غائب عنه أن الـgraph أو الرسم
+
+146
+00:12:03,450 --> 00:12:09,390
+هذا ما جاء إلا بعملية حسابية، تمام؟  والعملية
+
+147
+00:12:09,390 --> 00:12:13,230
+الحسابية هي هي نفسها، أنا عمال أُمر على كل العناصر
+
+148
+00:12:13,230 --> 00:12:17,050
+عشان أُحدد من المئتي. الآن أنا ماذا أعرفني؟ عندي
+
+149
+00:12:17,050 --> 00:12:23,190
+نقطة هيها موجودة هنا، صحيح؟ هي نقطة، مجموعة الـ
+
+150
+00:12:23,190 --> 00:12:28,160
+attributes هؤلاء، أو بلاش X وY، النقطة هذه ضمن المحيط
+
+151
+00:12:28,160 --> 00:12:32,020
+وهذه ليست من ضمن المحيط، ماذا أفعل؟ ماذا أفعل؟ بدي
+
+152
+00:12:32,020 --> 00:12:36,240
+أحسب الفرق ما بينه وبين النقطة هذه، مضبوط؟ التي هي
+
+153
+00:12:36,240 --> 00:12:42,180
+الـdistance. حسبت الـdistance، لا، طلعت برا، فأنا
+
+154
+00:12:42,180 --> 00:12:48,100
+أُتْرِك الحسبة هذه، صحيح؟ سأذهب إلى الـX واحد والـY واحد،
+
+155
+00:12:48,100 --> 00:12:53,510
+اه، هذه كانت في المنطقة هذه، فأنت العناصر هذه ليست
+
+156
+00:12:53,510 --> 00:12:57,970
+ستقدر تحصر من بينهم النقاط الموجودة التي تمر على كل
+
+157
+00:12:57,970 --> 00:13:03,190
+الـdata set، صحيح؟ لما
+
+158
+00:13:03,190 --> 00:13:06,890
+تجد طريقة أخرى، نستطيع أن نتناقش أنا وإياك فيها
+
+159
+00:13:06,890 --> 00:13:13,650
+بالمنطق هذا الـ
+
+160
+00:13:13,650 --> 00:13:16,590
+two dimension، البرنامج الجامعي يعكس صورة الـdata set
+
+161
+00:13:16,590 --> 00:13:17,550
+تبعك، كم attribute؟
+
+162
+00:13:20,870 --> 00:13:28,570
+الـdata set تبعك كم attribute؟ الـinstance
+
+163
+00:13:28,570 --> 00:13:35,210
+تبعك فيها عشرة attributes، تستطيع رسمها؟
+
+164
+00:13:35,210 --> 00:13:38,190
+على أنها two values التي موجودة عندي: الـpoint والـ
+
+165
+00:13:38,190 --> 00:13:44,130
+label، فقط one attribute والـlabel تبعته والعشرة؟
+
+166
+00:13:44,130 --> 00:13:45,510
+العشرة تستطيع رسمها كيف؟
+
+167
+00:13:48,930 --> 00:13:51,790
+ماشي، ماشي، سأُريك إياها أكثر إن شاء الله تعالى.
+
+168
+00:13:51,790 --> 00:13:57,590
+طيب، الآن التي الرسمة كانت لتوضيح، عشان أوصلك
+
+169
+00:13:57,590 --> 00:14:01,510
+مفهوم الـconcept تبع الجيران، ليس أكثر، فلا تصبح
+
+170
+00:14:01,510 --> 00:14:06,570
+الرسمة هي إيش هي الحل الموجود عندك. طيب، الآن
+
+171
+00:14:06,570 --> 00:14:10,130
+الفكرة مرة أخرى تدور حول الـK nearest neighbor
+
+172
+00:14:10,130 --> 00:14:15,180
+أني أذهب أبحث عن الـclosest object للنقطة التي
+
+173
+00:14:15,180 --> 00:14:18,040
+موجودة تبعي هنا، للـinstance الذي أنا فعلياً
+
+174
+00:14:18,040 --> 00:14:21,880
+أعرفها، عشان أنا أشوف من جيرانها أو من الأقرب
+
+175
+00:14:21,880 --> 00:14:27,060
+لها. لازم أعمل computation بينها وبين كل الـ
+
+176
+00:14:27,060 --> 00:14:31,
+
+223
+00:18:28,030 --> 00:18:32,590
+تقدر تعمل voting صح، أو عشان يصير في عندك فرصة للـ
+
+224
+00:18:32,590 --> 00:18:36,430
+voting أكبر. يعني مثلاً في الـ three classes، أربعة is
+
+225
+00:18:36,430 --> 00:18:43,650
+not enough، وخمسة غالباً is not enough. سبعة ممكن
+
+226
+00:18:43,650 --> 00:18:46,230
+تكون fair، بس برضه ممكن يصير في مشكلة. اتنين اتنين
+
+227
+00:18:46,230 --> 00:18:51,450
+واحد قال لي: طب في حالة... خد تمانية، التمانية والـ
+
+228
+00:18:51,450 --> 00:18:54,910
+ثلاثة. يعني بين قوسين، إذا كان عدد الـ classes فردي،
+
+229
+00:18:54,910 --> 00:19:03,050
+خد عدد الـ keys تبعتك عدد زوجي، وأكبر من ضعف الرقم.
+
+230
+00:19:03,050 --> 00:19:06,350
+هذا عشان إيش؟ تقدر تعمل بينهم voting على الأقل،
+
+231
+00:19:06,350 --> 00:19:10,910
+بتضمن أن في class منهم أكبر، أو صار فيه أغلبية،
+
+232
+00:19:10,910 --> 00:19:15,850
+أكبر من الثاني في المقابل. لو كانوا الآن العدد الـ K
+
+233
+00:19:15,850 --> 00:19:20,870
+تبعتك، أو عدد الـ classes تبعتك زوجي، تمام؟ خد عدد
+
+234
+00:19:20,870 --> 00:19:25,270
+فردي أكبر من ضعفه. كمان مرة، هذا الكلام مش قرآن،
+
+235
+00:19:25,270 --> 00:19:28,630
+هذا مجرد نصيحة عشان تقدر تاخد K وتضمن فيها
+
+236
+00:19:28,630 --> 00:19:32,210
+voting. اللي أنا بقوله كالتالي: لو كان عدد الـ
+
+237
+00:19:32,210 --> 00:19:38,370
+classes عندي ثلاثة، ضعفهم ستة، تمام؟ فبدي آخد
+
+238
+00:19:38,370 --> 00:19:42,660
+سبعة، أو أنا بقول لك خد ثمانية. خد الـ K تبعتك ثمانية.
+
+239
+00:19:42,660 --> 00:19:47,320
+هنا الـ A، لو الـ three classes دول بدهم يتوزعوا
+
+240
+00:19:47,320 --> 00:19:51,500
+إيش الاحتمالات يكونوا موجودين؟ الثمانية كلهم لنفس
+
+241
+00:19:51,500 --> 00:19:55,500
+الـ class، وهذا بيعمل الـ prediction تبعتي صحيحة 100
+
+242
+00:19:55,500 --> 00:20:00,660
+%. تمام؟
+
+243
+00:20:00,660 --> 00:20:08,770
+أربعة أو أربعة أو أربعة للـ class، و 2 و 2. برضه الـ
+
+244
+00:20:08,770 --> 00:20:12,230
+majority. لاحظ أنا بتكلم على الـ... لاحظ صرت أتكلم
+
+245
+00:20:12,230 --> 00:20:16,090
+على الأغلبية، مُجسّمين على عدد العناصر، مش على الأغلبية
+
+246
+00:20:16,090 --> 00:20:22,390
+50%. صار قد إيش؟ هو الـ top rank، ده اللي هنسميه. طيب بس
+
+247
+00:20:22,390 --> 00:20:27,970
+برضه ممكن يصير في مشكلة. ثلاثة ثلاثة اتنين. عشان هيك
+
+248
+00:20:27,970 --> 00:20:29,970
+بقول لك الكلام اللي أنا بقوله، أو النصيحة اللي أنا
+
+249
+00:20:29,970 --> 00:20:34,840
+بجيبها، بقولها مش أساس، هي مجرد...بدأ نرضى على مبدأ
+
+250
+00:20:34,840 --> 00:20:39,720
+التجربة والخطأ، أو التجربة والقياس لحد ما تصل لـ K
+
+251
+00:20:39,720 --> 00:20:43,700
+مناسبة بالنسبة لك. والـ K المناسبة هذه ممكن تختلف
+
+252
+00:20:43,700 --> 00:20:47,400
+في domain ثاني. ليش؟ لأنه فعلياً هذه واحدة من الـ
+
+253
+00:20:47,400 --> 00:20:51,020
+challenges الخاصة، أو من المشاكل الموجودة مع الـ K
+
+254
+00:20:51,020 --> 00:20:54,300
+-nearest neighbor. أي جيران؟ قد إيش عدد الجيران اللي أنا
+
+255
+00:20:54,300 --> 00:21:00,100
+اعتمد فيهم؟ زي ما قلنا سابقاً. طيب، الآن بما أنه أنا
+
+256
+00:21:00,100 --> 00:21:03,560
+بتحاول...بتحاول أشوف الـ K اللي بتتناسب مع عملية
+
+257
+00:21:03,560 --> 00:21:08,540
+الـ voting. زي ما قلت لك، حاول تكبرها شوية، وشوف بينها
+
+258
+00:21:08,540 --> 00:21:13,320
+وبين عدد عناصر الـ elements. يعني لو كان زوجي أو فردي،
+
+259
+00:21:13,320 --> 00:21:19,740
+إلى آخره. عفواً، الـ
+
+260
+00:21:19,740 --> 00:21:24,540
+main concept. أنا فيه عندي unseen instance، unseen
+
+261
+00:21:24,540 --> 00:21:29,610
+instance X، اللي قطعت الـ puzzle. هايوفي عندي...في
+
+262
+00:21:29,610 --> 00:21:39,050
+عندي two classes: suns و moons. شموس وقمر. وبيسألني
+
+263
+00:21:39,050 --> 00:21:44,250
+الخيار، الصورة هذه هتكون قمر ولا شمس؟ لأنها موجودة
+
+264
+00:21:44,250 --> 00:21:49,470
+هنا في الرسمة، بناء على الرسمة. إذا كانت الـ keys
+
+265
+00:21:49,470 --> 00:21:50,570
+تبعتي هنا أربعة،
+
+266
+00:21:53,580 --> 00:21:56,780
+هيصير في عندي اتنين واتنين. إذا اخترت الـ K أربعة،
+
+267
+00:21:56,780 --> 00:22:01,160
+اتنين واتنين، مش هقدر أعمل voting. لكن لو روحت للـ K
+
+268
+00:22:01,160 --> 00:22:08,360
+equal 11،  الدائرة باللون الأزرق، هيكون في عندي أربعة و
+
+269
+00:22:08,360 --> 00:22:14,400
+سبعة. الـ majority، الـ majority لمين؟ للـ moons. وبالتالي
+
+270
+00:22:14,400 --> 00:22:18,540
+هاي الـ instance هذه عبارة عن قمر.
+
+271
+00:22:22,570 --> 00:22:26,470
+النصيحة، to avoid any noisy data، أو أي نصيحة. نصيحة
+
+272
+00:22:26,470 --> 00:22:29,550
+نصيحة، تستخدم more than one neighbor. ماتشتغلش
+
+273
+00:22:29,550 --> 00:22:33,350
+على one neighbor. ودائماً زي ما قلت لك، حاول اختار عدد
+
+274
+00:22:33,350 --> 00:22:36,190
+اللي له علاقة بعدد الـ classes، بحيث أن يكون في عندك
+
+275
+00:22:36,190 --> 00:22:41,010
+estimation، ولو بسيطة، كيف تفرّق ما بين الـ classes
+
+276
+00:22:41,010 --> 00:22:44,310
+اللي موجودة، وتقدر تعمل أغلبية. مين عنده الـ data
+
+277
+00:22:44,310 --> 00:22:47,050
+set تبعت الـ classification أكثر من الـ two classes؟
+
+278
+00:22:47,050 --> 00:22:55,140
+الآن معظمكم، كمجموعات، اشتغلتوا في data sets. الـ data
+
+279
+00:22:55,140 --> 00:22:58,940
+set اللي لها علاقة بالـ classification. مين عنده
+
+280
+00:22:58,940 --> 00:23:03,240
+data set، الـ labels تبعتها أكثر من two classes؟ طب
+
+281
+00:23:03,240 --> 00:23:07,280
+مين عنده binary classification، مجموعة واحدة فقط؟
+
+282
+00:23:07,280 --> 00:23:13,100
+اللي عارفة، اللي عندها. والباقي، والباقي ما أحد عارفها.
+
+283
+00:23:13,100 --> 00:23:16,440
+اللي سلمته، مجرد جربنا data for classification
+
+284
+00:23:16,440 --> 00:23:23,020
+ورفعناها وخلصنا. كان الله بالسر علينا. الآن
+
+285
+00:23:23,850 --> 00:23:28,830
+بما أن كل الـ instances اللي عندي موجودة في الـ N D
+
+286
+00:23:28,830 --> 00:23:32,830
+Space. بين
+
+287
+00:23:32,830 --> 00:23:35,870
+قوسين. الـ N هي عبارة عن عدد الـ attributes اللي
+
+288
+00:23:35,870 --> 00:23:39,550
+موجودة في الـ data set. اللي ممكن تكون واحدة، وممكن
+
+289
+00:23:39,550 --> 00:23:42,890
+تكون اتنين، وممكن تكون ثلاثة، وممكن تكون عشرة، وممكن
+
+290
+00:23:42,890 --> 00:23:50,700
+تكون مئة، وممكن تكون ألف. آه، ألف attributes. آه، الـ
+
+291
+00:23:50,700 --> 00:23:54,220
+datasets اللي لها علاقة بالصور، والألف attributes
+
+292
+00:23:54,220 --> 00:23:59,520
+قليل كمان! يعني هو عبارة عن pixels. الآن لو اتكلمت
+
+293
+00:23:59,520 --> 00:24:02,160
+على صورة مئة في مئة pixels، قد إيش الـ resolution
+
+294
+00:24:02,160 --> 00:24:07,340
+تبعتها عالية؟ لأ، صورة صغيرة جداً، صح؟ هذه لحالها عشان
+
+295
+00:24:07,340 --> 00:24:15,700
+تفردها، هي عشر آلاف attributes. و ليش؟ رأيكم؟ بس،
+
+296
+00:24:15,700 --> 00:24:17,900
+هذه بس، إحنا نتكلمنا على عشر آلاف attributes على
+
+297
+00:24:17,900 --> 00:24:22,480
+صورة صغيرة. تخيلي الصورة full HD، قد إيش عدد الـ
+
+298
+00:24:22,480 --> 00:24:27,820
+attributes تبعتها؟ طيب، الآن طبعاً في حالة إذا كل
+
+299
+00:24:27,820 --> 00:24:33,420
+pixel مثّلت attribute، الـ k-nearest neighbor بدور، أو
+
+300
+00:24:33,420 --> 00:24:36,900
+بعتمد على، أو بعرف أن الشخص... اسمه similarity
+
+301
+00:24:36,900 --> 00:24:43,170
+function. شو يعني similarity؟ تشابه، أو تقارب بين الـ
+
+302
+00:24:43,170 --> 00:24:47,650
+instances اللي موجودة سابقاً. أنا كنت بقول لك مين
+
+303
+00:24:47,650 --> 00:24:53,750
+أقرب الناس لفلان. لو أنا أجيت قلت لك في الـ one D شو
+
+304
+00:24:53,750 --> 00:25:03,130
+يعني one D؟ one attribute. أنا عندي عشرة، وعندي خمسة،
+
+305
+00:25:03,130 --> 00:25:08,890
+وعندي سبعة. العشرة
+
+306
+00:25:08,890 --> 00:25:14,030
+أقرب لمين؟ بناءً على إيش أنت حسبتها هي هيك؟ غالباً أن
+
+307
+00:25:14,030 --> 00:25:19,390
+هي أقرب للسبعة، لأن الفرق بين العشرة والسبعة
+
+308
+00:25:19,390 --> 00:25:24,530
+أقل من الفرق بين العشرة والخمسة. وبالتالي العشرة
+
+309
+00:25:24,530 --> 00:25:30,910
+أقرب للسبعة. بين قوسين، العشرة والسبعة more similar
+
+310
+00:25:30,910 --> 00:25:34,470
+than العشرة والخمسة. ولا شو رأيكم؟ يعني أقرب
+
+311
+00:25:34,470 --> 00:25:38,650
+تشابه مع بعض أكثر. كل ما قربت من الرقم، بكون أنا
+
+312
+00:25:38,650 --> 00:25:43,330
+مُشابه له، تمام؟ يعني إحنا في الآخر عملنا عشرة ناقص
+
+313
+00:25:43,330 --> 00:25:53,270
+خمسة، وعشرة ناقص سبعة. لو كانت الـ data set اللي أنا
+
+314
+00:25:53,270 --> 00:25:57,850
+بتكلم عليها في الـ 2D: عشرة
+
+315
+00:25:57,850 --> 00:26:01,850
+واتنين، خمسة
+
+316
+00:26:01,850 --> 00:26:09,670
+وثلاثة، سبعة، وواحد. كيف بدك تشوف، تفحص الـ
+
+317
+00:26:09,670 --> 00:26:16,000
+similarity ما بينهم؟ الـ X ناقص الـ X، والـ Y ناقص
+
+318
+00:26:16,000 --> 00:26:22,760
+الـ Y تحت الجذر. بدأنا الآن نبدأ نتكلم...أنت ملاحظ
+
+319
+00:26:22,760 --> 00:26:26,980
+بتتكلم على distance في الآخر، على مسافة. لكن لما أنا
+
+320
+00:26:26,980 --> 00:26:35,040
+بتكلم في الـ 2D، يا كريم. أي نقطتين في الـ 2D، بهم
+
+321
+00:26:35,040 --> 00:26:40,100
+نتكلم على distance بينهم. إيش الـ distance هي بتمثل؟
+
+322
+00:26:42,700 --> 00:26:46,380
+الفرق بين النقطتين. بس في كلام أبسط بالنسبة لما
+
+323
+00:26:46,380 --> 00:26:51,180
+الفرق بين النقطتين هذول. الـ distance هاي بتمثل الوتر
+
+324
+00:26:51,180 --> 00:27:00,720
+في مثلث قائم الزاوية. إذا شو رأيكم؟ التغير على الـ Y
+
+325
+00:27:00,720 --> 00:27:16,230
+هي Y2-Y1، الارتفاع. والـ base تبعتي المثلث X2 ناقص X1، و
+
+326
+00:27:16,230 --> 00:27:23,110
+لا، لأ. المسافة، اللي هو طول الضلع في المثلث قائم
+
+327
+00:27:23,110 --> 00:27:31,110
+الزاوية، شو بتساوي؟ X2 ناقص X1 تربيع، زائد Y2 ناقص Y1
+
+328
+00:27:31,110 --> 00:27:36,910
+تربيع، تحت الجذر. قانون فيثاغورس، مضبوط؟ وبالتالي
+
+329
+00:27:36,910 --> 00:27:40,110
+أنا عندي الـ Euclidean distance هيها.
+
+330
+00:27:43,080 --> 00:27:47,060
+إذا أنا حصلت على الـ distance. لو كان في عندي ثلاث
+
+331
+00:27:47,060 --> 00:27:52,540
+نقاط، معناته
+
+332
+00:27:52,540 --> 00:27:58,500
+أنا في عندي مثلث مختلف هنا، ولا
+
+333
+00:27:58,500 --> 00:28:06,760
+لأ؟ وهذه المسافة اللي أنا بدي إياها. إذا
+
+334
+00:28:06,760 --> 00:28:15,300
+كانت D2 أصغر من D1، فالنقطتين أقرب لبعض، تمام؟ طب في
+
+335
+00:28:15,300 --> 00:28:19,140
+الـ 3D: عشرة
+
+336
+00:28:19,140 --> 00:28:26,760
+واتنين، وسبعة، خمسة، وثلاثة، وواحد، سبعة، وواحد، و
+
+337
+00:28:26,760 --> 00:28:35,920
+ثلاثة. شو بدك تساوي؟ نفس الفكرة، بس إيش أساوي؟ أضيف
+
+338
+00:28:35,920 --> 00:28:42,770
+تحت الجذر، تربيع الفرق ما بين Z واحد و Z اتنين. يعني
+
+339
+00:28:42,770 --> 00:28:45,870
+بين النقطة الأولى والنقطة الثانية. طب لو كان عندي
+
+340
+00:28:45,870 --> 00:28:51,110
+عشرة attributes، ليش الـ off؟ ما إحنا متفقين إنه
+
+341
+00:28:51,110 --> 00:28:55,850
+ممكن يكون فيه عشرة attributes. نفس الكلام، فبنتكلم
+
+342
+00:28:55,850 --> 00:29:01,970
+إحنا على summation تحت الجذر لمجموع، للفرق ما بين
+
+343
+00:29:01,970 --> 00:29:06,810
+عدد الـ attributes اللي موجودة عندنا. الفرق ما بين
+
+344
+00:29:06,810 --> 00:29:09,610
+قيم الـ attributes اللي موجودة عندنا. وبالتالي هذي
+
+345
+00:29:09,610 --> 00:29:13,550
+بنسميها الـ Euclidean distance. لو كان أنا فيه عندي
+
+346
+00:29:13,550 --> 00:29:21,710
+two points X و Y، two different points. الـ
+
+347
+00:29:21,710 --> 00:29:27,270
+dimensionality تبعتهم N. الفرق
+
+348
+00:29:27,270 --> 00:29:35,770
+بين النقطتين هذول، يساوي الجذر التربيعي لمجموع XI
+
+349
+00:29:35,770 --> 00:29:41,570
+ناقص YI تربيع، تحت الجذر. والـ I بدها تساوي من واحد
+
+350
+00:29:42,250 --> 00:30:02,970
+لـ N. وبالتالي أنا بتكلم فعلياً على الفروقات. هذا
+
+351
+00:30:02,970 --> 00:30:08,710
+الـ Euclidean distance بشكل عام. بما أنه أنا قاعد
+
+352
+00:30:08,710 --> 00:30:13,970
+بربّع القيم، وبأخذ الجذر. لو غيرت الجذر من معادلتي،
+
+353
+00:30:13,970 --> 00:30:18,370
+لو غيرت الجذر من معادلتي، شو بيصير؟ بتصير القيمة
+
+354
+00:30:18,370 --> 00:30:22,890
+أكبر، بس مش أكثر، ولا لأ؟ بس فعلياً القيمة الكبيرة
+
+355
+00:30:22,890 --> 00:30:27,950
+تحت الجذر، هتكون هي القيمة الكبيرة بعد الجذر، بس
+
+356
+00:30:27,950 --> 00:30:31,170
+الـ scale اختلف، مضبوط؟ فبعض الناس إيش بتروح
+
+357
+00:30:31,170 --> 00:30:35,670
+بتساوي؟ بتستغنى عن الجذر التربيعي. وبما أن التربيع
+
+358
+00:30:35,670 --> 00:30:41,160
+بيعطيني قيمة موجبة، فقال لك: إحنا في Manhattan
+
+359
+00:30:41,160 --> 00:30:45,960
+distance. قال لك: ليش ما نتكلم على مجموع الـ absolute
+
+360
+00:30:45,960 --> 00:30:50,060
+أو الفروقات؟ مجموع الفروقات بين النقاط. لو أنا أجيت
+
+361
+00:30:50,060 --> 00:30:55,080
+سألتك، كريم وهاني. هاني، قد إيش الفرق بينك وبين كريم
+
+362
+00:30:55,080 --> 00:31:00,820
+في المعدل؟ هقول خمسة. لأ، ما سألتش قد إيش معدلك، قد إيش الفرق
+
+363
+00:31:00,820 --> 00:31:06,850
+بينك وبين كريم في المعدل؟ قال خمسة بالمئة. لو روحت سألت كريم
+
+364
+00:31:06,850 --> 00:31:11,730
+كريم: قد إيش الفرق بينك وبين هاني في المعدل؟ خمسة بالمئة. لاحظ
+
+365
+00:31:11,730 --> 00:31:14,510
+أنا ما فَرّقت معايا مين أعلى من الثاني، لأن في
+
+366
+00:31:14,510 --> 00:31:17,670
+الحالتين الـ distance... بتكلم distance، والـ
+
+367
+00:31:17,670 --> 00:31:20,810
+distance لن تكون بالسالب. فالـ distance دائماً
+
+368
+00:31:20,810 --> 00:31:24,430
+موجبة. فجالك أنا من هنا، الـ distance جالك أنا
+
+369
+00:31:24,430 --> 00:31:29,010
+بروحة بأشتغل، بعتمد على الـ absolute value للفرق ما
+
+370
+00:31:29,010 --> 00:31:33,810
+بين الـ attributes values، وبجمعهم، وبهيك حصلت على
+
+371
+00:31:33,810 --> 00:31:39,050
+نفس الـ concepts، بس فعلياً...فعلياً بتفرق. الـ distance
+
+372
+00:31:39,050 --> 00:31:44,910
+الرسمة هاي بتوضح الفرق الفعلي ما بين الـ Manhattan
+
+373
+00:31:44,910 --> 00:31:51,330
+والـ Euclidean. الـ Euclidean، طبعاً هاي النقطتين X1 و X2
+
+374
+00:31:51,330 --> 00:31:59,510
+2 و 8... 3 أو 6 و 3. رسمناهم. الآن قلنا الخط الأخضر
+
+375
+00:31:59,510 --> 00:32:05,400
+هذا هو عبارة عن الـ Euclidean distance. بينما الـ
+
+376
+00:32:05,400 --> 00:32:08,860
+Manhattan في أكثر من مسار. فكرة الـ Manhattan
+
+377
+00:32:08,860 --> 00:32:12,880
+distance، أنه دائماً أنا بمشي في خطوط مستقيمة
+
+378
+00:32:12,880 --> 00:32:18,020
+متعامدة على بعضها. بمشي على خطوط متعامدة، بينما الـ
+
+379
+00:32:18,020 --> 00:32:23,380
+Euclidean أخذت القطر، مضبوط؟ الآن الخطوط...الخط
+
+380
+00:32:23,380 --> 00:32:29,320
+الأحمر هذا هو عبارة عن مثل الـ Manhattan distance.
+
+381
+00:32:29,320 --> 00:32:35,850
+الخط الأصفر هذا كذلك، عبّر عن الـ Manhattan distance،
+
+382
+00:32:35,850 --> 00:32:41,430
+ونفس الـ value. لو أنت حسبت واحد، اتنين، ثلاثة،
+
+383
+00:32:41,430 --> 00:32:47,710
+أربعة، خمسة، و واحد، اتنين، ثلاثة، أربعة، تسعة. واحد،
+
+384
+00:32:47,710 --> 00:32:52,710
+اتنين، ثلاثة، أربعة، خمسة، ستة، سبعة، ثمانية، تسعة. كـ
+
+385
+00:32:52,710 --> 00:32:56,970
+units. فالـ Manhattan distance هي فعلياً هتلاقي فيه
+
+386
+00:32:56,970 --> 00:33:01,800
+implementation، يستحيل تجي تتكلم على أنك تطبق الـ
+
+387
+00:33:01,800 --> 00:33:05,720
+Euclidean distance. مثال: جالك سيارة بدها تتحرك ما
+
+388
+00:33:05,720 --> 00:33:09,760
+بين النقطتين هذول ضمن مدينة. هي خلّقتها تقول والله
+
+389
+00:33:09,760 --> 00:33:14,160
+أنا ببدأ أخشّ من البيوت اللي هنا، ما فيش مجال السيارة
+
+390
+0
+
+445
+00:39:00,120 --> 00:39:21,660
+إيه؟ إيه؟ إيه؟
+
+446
+00:39:30,670 --> 00:39:33,870
+بتمنى بس على الناس المبتسمة أن تكون فعليا مبتسمة
+
+447
+00:39:33,870 --> 00:39:38,690
+لأنها عارفة الحل، مش لأنها مش مبتسمة لأنها إيش مش فاهمة
+
+448
+00:39:38,690 --> 00:39:46,610
+حاجة نعم، كمل لحالك، احنا شرحنا الـ algorithm
+
+449
+00:40:14,010 --> 00:40:16,410
+احنا نسأل على شخصين في العالم اللي ممكن
+
+450
+00:40:16,410 --> 00:40:20,710
+يتعامل معه بالتعامل بالتعامل بالتعامل بالتعامل
+
+451
+00:40:20,710 --> 00:40:21,210
+بالدرس
+
+452
+00:40:25,680 --> 00:40:29,820
+اكتب .. اكتب .. اكتب الجواب، الـ class تبعت الـ
+
+453
+00:40:29,820 --> 00:40:36,160
+instance هي على الورقة، في حالة كانت K = 1
+
+454
+00:40:36,160 --> 00:40:42,680
+و في حالة الـ K = 3 حطوا
+
+455
+00:40:42,680 --> 00:40:47,180
+جواب ما قلنا، اعمل مجاورته، حدد الـ .. الـ .. nearest
+
+456
+00:40:47,180 --> 00:40:50,600
+neighbor و اعمل voting ما بينهم، في حالة
+
+457
+00:40:50,600 --> 00:40:53,200
+الواحد مافيش voting، هو في حالة التلاتة بقى تعمل
+
+458
+00:40:53,200 --> 00:41:00,320
+voting. يلا شباب، لما الورق اديني إياه، خلصت الخمس
+
+459
+00:41:00,320 --> 00:41:03,380
+دقايق، مش دقيقة يا أستاذ، وحورجيك إنه هذا بينحل في
+
+460
+00:41:03,380 --> 00:41:12,800
+أقل من دقيقة. يلا شباب، اديني الورق، الله يسعدك، اديني
+
+461
+00:41:12,800 --> 00:41:21,700
+الورق، يلا شباب، واحد
+
+462
+00:41:33,590 --> 00:41:44,490
+خذين، ماشي الورق يا شباب، إذا
+
+463
+00:41:44,490 --> 00:41:46,870
+اللي وراك لسه بيحل، سيبك منه، اديه الورق اللي قدامك و
+
+464
+00:41:46,870 --> 00:41:48,950
+تاخدش منه، خليه يجمع من مكانه
+
+465
+00:41:53,690 --> 00:42:08,930
+ما تاخدش من حد من ورا، إيش
+
+466
+00:42:08,930 --> 00:42:13,610
+المفروض يسوي فيهم هدول؟
+
+467
+00:42:13,610 --> 00:42:17,350
+خلصت؟
+
+468
+00:42:30,080 --> 00:42:35,900
+طيب طيب يا شباب، خلاصنا من الصوت، خلاصنا، تعالى نشوف
+
+469
+00:42:35,900 --> 00:42:39,500
+جدًّا فعليا انت تلات عقول أو أربعة اشتغلت أحيانا أو
+
+470
+00:42:39,500 --> 00:42:42,400
+اتنين في موضوع حل مسألة زي هيك، وهي القوانين
+
+471
+00:42:42,400 --> 00:42:48,880
+التانية قدامك الآن: 3 - 7 + 4² +
+
+472
+00:42:48,880 --> 00:42:52,660
+0²، الـ instance الأولى، وهذه كانت الـ
+
+473
+00:42:52,660 --> 00:43:01,000
+classification تبعتها bad. الآن 4² +
+
+474
+00:43:01,000 --> 00:43:09,240
+3²، وبرضه هذه كانت bad. الآن الثانية: 0²
+
+475
+00:43:09,240 --> 00:43:14,820
++ 1²، وهذه good، الـ instance
+
+476
+00:43:14,820 --> 00:43:23,680
+الأخيرة: 2² + 3، عفواً، عفواً
+
+477
+00:43:23,680 --> 00:43:27,440
+3² = 7
+
+478
+00:43:27,440 --> 00:43:37,600
+- 4 + 3²، وهذه good. أقصر
+
+479
+00:43:37,600 --> 00:43:44,500
+مسافة اللي بعديها، اللي بعديها
+
+480
+00:43:47,000 --> 00:43:54,760
+إذا كانت الـ K = 1 فهي Good، إذا كانت الـ K
+
+481
+00:43:54,760 --> 00:44:00,700
+= 3، بعمل voting بين التلاتة الأصغر: اتنين
+
+482
+00:44:00,700 --> 00:44:04,680
+Good و واحدة Bad، حسب المجاورة باخد الـ Good، فكل
+
+483
+00:44:04,680 --> 00:44:09,080
+الحالتين كانت عندك Good، Euclidean distance، أنا
+
+484
+00:44:09,080 --> 00:44:14,250
+اعتمدت، يا دكتور، ما طبقتش التربيع، مافيش مشكلة،
+
+485
+00:44:14,250 --> 00:44:16,330
+معاملنا ذاكرين إنه جماعة الخير، بما أنه التربيع
+
+486
+00:44:16,330 --> 00:44:19,450
+بيقعد يتطبق، نشتغل مع الكل، فأنا ممكن أنا أشتغل بسرعة
+
+487
+00:44:19,450 --> 00:44:22,770
+بدون ما أقلق حالي، وأستخدم قياس الجوال لأول مرة، بدي
+
+488
+00:44:22,770 --> 00:44:28,230
+أستخدمها على الـ include، على المنهاجتين، الناس اللي
+
+489
+00:44:28,230 --> 00:44:35,090
+اشتغلت على المنهاجتين، ما اختلفتش كتير، الآن: 3
+
+490
+00:44:35,090 --> 00:44:40,450
++ 4 + 0 + 4
+
+491
+00:44:40,450 --> 00:44:52,940
++ 3 + 0 + 3 + 2 + 3، الـ
+
+492
+00:44:52,940 --> 00:45:01,500
+shortest: 1، 2، 3
+
+493
+00:45:01,500 --> 00:45:10,480
+good، في حالة الـ K = 1، وين خمسة
+
+494
+00:45:13,140 --> 00:45:19,040
+ترتيب اختلف، اوكي، ماشي الحال، 2، 3، تمام
+
+495
+00:45:19,040 --> 00:45:26,500
+اتنين جود، واحدة bad، جود
+
+496
+00:45:26,500 --> 00:45:34,060
+فهي الـ label تمام، الشباب، الله
+
+497
+00:45:34,060 --> 00:45:34,600
+يعطيك العافية
+
+498
+00:45:41,260 --> 00:45:55,340
+أصارت عندك X2، المشكلة جزئيا
+
+499
+00:45:55,340 --> 00:45:58,800
+أستاذ، أنا حليت مع K = 3، هاي الـ query اللي
+
+500
+00:45:58,800 --> 00:46:01,760
+بدي اعملها، الـ instance (3، 7)، هي اللي بدي قيمها
+
+501
+00:46:01,760 --> 00:46:07,800
+فروحت حسبت المسافة بينها وبين كل نقطة، تربيع
+
+502
+00:46:10,590 --> 00:46:17,190
+الآن رتبت تبع للـ distance من الأصغر للأكبر
+
+503
+00:46:17,190 --> 00:46:20,630
+وبالتالي الأولى هي الـ most closest، وراها الثانية و
+
+504
+00:46:20,630 --> 00:46:24,870
+الثالثة، والرابعة، الرابعة هي the farthest one، الآن
+
+505
+00:46:24,870 --> 00:46:29,430
+إذا كانت الـ K تبعتي = 1، فالأولى
+
+506
+00:46:29,430 --> 00:46:35,690
+كانت، الـ K تبعتي = 3، هي التلاتة، هعمل بينهم
+
+507
+00:46:35,690 --> 00:46:40,780
+voting، الآن، فهتكون النتيجة تبعتها، الـ class تبعت الـ
+
+508
+00:46:40,780 --> 00:46:50,580
+instance هذي good. اجرب مسافة، نعم، 7 - 7 +
+
+509
+00:46:50,580 --> 00:46:53,380
+أنا، الـ 7 - 7، بس الـ 7 - 7 مش لحالها
+
+510
+00:46:53,380 --> 00:46:59,240
+في عندك هنا 7 - 3، لأن هذا distance في الـ
+
+511
+00:46:59,240 --> 00:47:05,180
+2D، في الـ 2D، خط بس الخط هذا جاي معاك، خط أفقي أو خط
+
+512
+00:47:05,180 --> 00:47:06,780
+عمودي، لما يكون قيمته متساويات
+
+513
+00:47:09,850 --> 00:47:14,810
+الآن لو طلعوا النسب في كل مقارنة نسبتها طبعاً هي
+
+514
+00:47:14,810 --> 00:47:18,470
+بعض ضد، وبعض نفس الـ .. اه اه، الآن هذه مشكلة زي ما
+
+515
+00:47:18,470 --> 00:47:22,450
+قلت لك أنا سابقاً، مشكلة الـ voting، أنك انت بدك تحاول
+
+516
+00:47:22,450 --> 00:47:27,030
+تسعى أنك تلاقي value أفضل كي تتناسب مع العملية
+
+517
+00:47:27,030 --> 00:47:31,050
+الآن بكل الأحوال، لو طلعوا فعلياً فعلياً عندي two
+
+518
+00:47:31,050 --> 00:47:35,750
+classes اللي هم نفس الـ level، نفس الـ distance، حطيته
+
+519
+00:47:35,750 --> 00:47:39,170
+في إيه؟ حطيته في دي؟ نفس النتيجة في الآخر، انت
+
+520
+00:47:39,170 --> 00:47:42,510
+حصلت، تمام؟ بس في الآخر، هي اللي موجودة، هي الـ
+
+521
+00:47:42,510 --> 00:47:45,710
+algorithm، ما حدش قالك أن الـ algorithm هذا perfect،
+
+522
+00:47:45,710 --> 00:47:50,390
+100%، أنا قدمته لسبب واحد فقط، أنه
+
+523
+00:47:50,390 --> 00:47:56,070
+أسهل algorithm ممكن تستوعبه أنت الآن، تمام؟ أسهل
+
+524
+00:47:56,070 --> 00:48:03,520
+algorithm، ما بيبدأش يخلّي دماغك يشتغل معانا، ممتاز؟ هذه
+
+525
+00:48:03,520 --> 00:48:12,320
+الـ data الستة تبعتنا .. بدي ارجع لهيك شوية، X
+
+526
+00:48:12,320 --> 00:48:23,960
+3: true .. false .. false .. true، أنا
+
+527
+00:48:23,960 --> 00:48:29,040
+سابقا لما كنت بحسب distance أو ping و cell، لما صرت
+
+528
+00:48:29,040 --> 00:48:34,150
+back كنت بعكس الـ similarity as a distance، تمام، الـ
+
+529
+00:48:34,150 --> 00:48:38,070
+shortest distance، الـ most similar، والعكس صحيح، كانت
+
+530
+00:48:38,070 --> 00:48:42,550
+الـ numeric value، الآن أنا فيه عندي Boolean value
+
+531
+00:48:42,550 --> 00:48:47,430
+شو بدي أسوي فيها؟ 0 و 1، أحولها 0 و 1، يعني
+
+532
+00:48:47,430 --> 00:48:53,990
+أرجع أعمل preprocessing، 0 و 1، حل، بس أنا رجعني
+
+533
+00:48:53,990 --> 00:49:00,550
+كتير لورا، مضطر له، تمام. طيب، لو كان عندي كمان
+
+534
+00:49:04,990 --> 00:49:13,930
+X3 أو X4 بمثل الـ Marital Status: Single، Divorced،
+
+535
+00:49:13,930 --> 00:49:22,910
+Widowed، Married، مقولج، بعيد عنك، أرمل، Widowed،
+
+536
+00:49:22,910 --> 00:49:27,190
+أرمل، Divorced، مقولق، مش هاي الحالات الاجتماعية
+
+537
+00:49:27,190 --> 00:49:36,660
+الأربعة، على شخص أعزب، متزوج، widowed .. widowed .. widowed
+
+538
+00:49:36,660 --> 00:49:42,360
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+539
+00:49:42,360 --> 00:49:47,400
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+540
+00:49:47,400 --> 00:49:47,980
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+541
+00:49:47,980 --> 00:49:51,640
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+542
+00:49:51,640 --> 00:49:51,760
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+543
+00:49:51,760 --> 00:49:57,740
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+544
+00:49:57,740 --> 00:49:57,780
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+545
+00:49:57,780 --> 00:49:59,800
+.. widowed .. widowed .. widowed .. widowed .. widowed .. widowed
+
+546
+00:50:03,060 --> 00:50:12,200
+تقدرش تحولها، أيوة، دون إبداعات نسمع منكم، وبالتالي
+
+547
+00:50:12,200 --> 00:50:15,140
+انت حقيت .. يعني لو لو هي للأعزب، يعني المفروض يكون
+
+548
+00:50:15,140 --> 00:50:20,780
+قيمة الأعزب أكبر، غير صحيح، نعم، نحسب الـ X، و X1، و X2،
+
+549
+00:50:20,780 --> 00:50:24,960
+و X3، و X4، و X5، و X6، و X7، و X8، و X9، و X10، و X11، و
+
+550
+00:50:24,960 --> 00:50:27,160
+X12، و X12، و X13، و X14، و X14، و X15، و X16، و X17، و
+
+551
+00:50:27,160 --> 00:50:28,820
+X18، و X19، و X20، و X21، و X22، و X22، و X22، و X22، و
+
+552
+00:50:28,820 --> 00:50:28,940
+X22، و X22، و X22، و X22، و X22، و X22، و X22، و X22، و
+
+553
+00:50:28,940 --> 00:50:31,370
+X22، و X22، و X22، و X22، و X22، و X22، لما يكون في عندي
+
+554
+00:50:31,370 --> 00:50:36,130
+nominal attribute أو Boolean attribute، الـ distance
+
+555
+00:50:36,130 --> 00:50:41,450
+هتزيد بصفر أو بواحد، بناء على إيش؟ هل الـ value هذه
+
+556
+00:50:41,450 --> 00:50:47,970
+equal أو not equal؟ true، يعني الـ instance اللي أنا
+
+557
+00:50:47,970 --> 00:50:55,910
+بدي أقرأها الآن، كانت هنا عندي 3 و 7 و false
+
+558
+00:50:55,910 --> 00:50:58,530
+و D
+
+559
+01:00:01,610 --> 01:00:09,330
+الآن المسافة اللي بحسبها هي ل
+
+560
+01:00:09,330 --> 01:00:17,950
+الـ instance الأولى، الآن 7 - 7² +
+
+561
+01:00:17,950 --> 01:00:26,530
+7 - 3² + 1
+
+562
+01:00:26,530 --> 01:00:34,590
+في حالة التساوي 0، في حالة الاختلاف 0 + 0
+
+563
+01:00:34,590 --> 01:00:40,630
+في الحالة الثانية مع الـ instance الثانية 4
+
+564
+01:00:40,630 --> 01:00:48,890
+- 7² + 7 - 3² +
+
+565
+01:00:48,890 --> 01:01:01,390
+false و false، 1، دي و دي 1، وبالتالي صار موضوع
+
+566
+01:01:01,390 --> 01:01:03,910
+الـ String اللي هندي، أو لو كانت الـ Nominal Data
+
+567
+01:01:03,910 --> 01:01:07,990
+أو Boolean Data، مافيش داعي أرجع للـ preprocessing
+
+568
+01:01:07,990 --> 01:01:13,170
+مافيش داعي أرجع للـ preprocessing، بالعكس أنا ممكن
+
+569
+01:01:13,170 --> 01:01:19,050
+أكمل بكل بساطة، بتصير الآن similar or dissimilar
+
+570
+01:01:19,050 --> 01:01:24,530
+لأنه فعلاً هل هي نفس القيمة ولا قيمة مختلفة؟ طبعاً؟
+
+571
+01:01:24,530 --> 01:01:28,550
+قيمة ولا قيمة مختلفة، لكن لأ أخفيكوا إن هاي في
+
+572
+01:01:28,550 --> 01:01:33,370
+برضه فيها مشكلة
+
+573
+01:01:33,370 --> 01:01:38,650
+رحلة
+
+574
+01:01:38,650 --> 01:01:47,150
+شوية، لو كان في عندي two values بالشكل هذا: أحمد و
+
+575
+01:01:47,150 --> 01:01:53,250
+أحمد، واحدة بتبدأ بـ capital، واحدة small، المفروض تكون
+
+576
+01:01:53,250 --> 01:01:56,490
+انت حليتها، أنا جيبتك كمثال كاسم بالاسم، الآن يا
+
+577
+01:01:56,490 --> 01:02:08,030
+سيدي، بلاش نتكلم على الوظيفة، الـ job manager، الآن
+
+578
+01:02:08,030 --> 01:02:12,810
+هادي و هادي في الـ semantic واحدة، لكن على حسب
+
+579
+01:02:12,810 --> 01:02:17,010
+القانون اللي أنا بقوله: إذا متساويات بياخدوا 1،
+
+580
+01:02:17,010 --> 01:02:19,830
+مختلفات بياخدوا 0، هدول من الناس اللي هتاخد 0
+
+581
+01:02:22,450 --> 01:02:25,770
+ليش؟ لأن الـ case .. بدي أدخل الـ ignore case في
+
+582
+01:02:25,770 --> 01:02:34,610
+الموضوع، ابتجيني قضية أخطر من هيك، واحد
+
+583
+01:02:34,610 --> 01:02:38,950
+كتب بـ A، وواحد كتب بـ E، مش هذا اللي احنا
+
+584
+01:02:38,950 --> 01:02:44,450
+اتسميناها سابقاً، ignore syntax، حلتك من الـ capital
+
+585
+01:02:44,450 --> 01:02:48,290
+letter و الـ capital letter و الـ small letter، بس ما
+
+586
+01:02:48,290 --> 01:02:56,190
+حلت الـ case، أن هذه A، و هادي إيه؟ هتظل في عندي
+
+587
+01:02:56,190 --> 01:02:59,690
+استثناءات، وإن الـ data فيها .. يعني مش ضروري كل شيء
+
+588
+01:02:59,690 --> 01:03:03,890
+ييجي .. يعني أنا بهمش، أنا بحاول أظبط الـ data تمشي
+
+589
+01:03:03,890 --> 01:03:08,650
+مع القوانين، بحاولش أكيف القوانين تمشي مع الـ data
+
+590
+01:03:08,650 --> 01:03:11,690
+وبالتالي، هي القانون اللي موجودة عندي هنا، في حالة
+
+591
+01:03:11,690 --> 01:03:17,110
+الـ nominal data، equal values: 0، يعني الـ distance
+
+592
+01:03:17,110 --> 01:03:21,830
+بينهم 0، ليش؟ لأنهم متطابقين، نفس الشيء، مافيش فرق
+
+593
+01:03:21,830 --> 01:03:25,730
+بقى بينهم، different values، بغض النظر إيش كانوا
+
+594
+01:03:25,730 --> 01:03:30,870
+الفرق بينهم 1، ولما أنا بضيف الفرق بينهم، لما
+
+595
+01:03:30,870 --> 01:03:37,890
+أقول قيمتهم مختلفات: 1، متساويات: 0، عكست في
+
+596
+01:03:37,890 --> 01:03:45,090
+المثال هذا: true
+
+597
+01:03:45,090 --> 01:03:54,230
+و false: 1، اختلاف، اختلاف، بعدت، بعدت، كويس أنكم
+
+598
+01:03:54,230 --> 01:03:56,470
+انتبهتوا، أنا بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+599
+01:03:56,470 --> 01:03:56,730
+بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+600
+01:03:56,730 --> 01:03:57,570
+بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+601
+01:03:57,570 --> 01:03:58,070
+بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+602
+01:03:58,070 --> 01:04:01,530
+بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+603
+01:04:01,530 --> 01:04:14,790
+بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم، بتكلم
+
+604
+01:04:14,790 --> 01:04:18,130
+بتكلم
+
+605
+01:04:18,130 --> 01:04:25,030
+بتصفر، و 0 بين جوسين، بين جوسين، أن الـ instance
+
+606
+01:04:25,030 --> 01:04:30,810
+الأولى من ناحية الـ text من
+
+607
+01:04:30,810 --> 01:04:39,250
+ناحية الـ text أبعد عادة من الـ instance من الثانية
+
+608
+01:04:39,250 --> 01:04:43,050
+أبعد، يعني صار في 1، صار في مسافة تنجمّع للقانون
+
+609
+01:04:43,050 --> 01:04:45,990
+اللي عندي، نعم
+
+610
+01:04:54,750 --> 01:04:57,730
+جدًّا عدد الـ values، الـ different values اللي عندك
+
+611
+01:04:57,730 --> 01:05:05,330
+و الحالات التانية، الوظائف، الـ occupation، جدًّا
+
+612
+01:05:05,330 --> 01:05:10,610
+عدد الوظائف إيه؟ واديني مثال، فرضاً عشرة، مين قال مين
+
+613
+01:05:10,610 --> 01:05:14,970
+قال
+
+667
+01:00:47,830 --> 01:00:51,210
+موضوع الـ scaling هو اللي بيحل القضية وبحطهم كلهم
+
+668
+01:00:51,210 --> 01:00:56,510
+بنفس الأوزان في موضوع الـ distance تخيل أنا بدرّب
+
+669
+01:00:56,510 --> 01:01:00,690
+أطبّق عليهم الـ min max normalization من صفر لواحد
+
+670
+01:01:00,690 --> 01:01:04,050
+شكل
+
+671
+01:01:04,050 --> 01:01:12,030
+الـ data set هيصير صفر مع أنّه كانت الفروقات بينهم
+
+672
+01:01:13,850 --> 01:01:18,590
+كبيرة جداً، وعلى نفس النظام، على نفس النظام الألفين
+
+673
+01:01:18,590 --> 01:01:22,830
+لما أنا بقدر أطبّقها، بقدر أخضعها لنفس المبدأ الـ min
+
+674
+01:01:22,830 --> 01:01:27,870
+max 01 على نفس الحسبة اللي اشتغلت عليها هان هي الـ
+
+675
+01:01:27,870 --> 01:01:33,990
+maximum value 55000 وهي الـ minimum value الـ
+
+676
+01:01:33,990 --> 01:01:39,010
+minimum والـ old minimum والـ old maximum للـ
+
+677
+01:01:39,010 --> 01:01:43,370
+الـ new minimum 0 والـ New Maximum 1 وبدّي أطبّق
+
+678
+01:01:43,370 --> 01:01:47,030
+الألف عليهم، الألفين عليهم، ونفس النظام بدّي أطبّق
+
+679
+01:01:47,030 --> 01:01:51,410
+باقي العناصر اللي أنا كتبتها، فعلياً الـ values
+
+680
+01:01:51,410 --> 01:01:58,970
+تبعتها بصير تفرج، وبصير كلهم إيش؟ متساويات. نعم، بس
+
+681
+01:01:58,970 --> 01:02:02,490
+احنا اتفقنا إنّه في موضوع الـ data normalization
+
+682
+01:02:02,490 --> 01:02:07,850
+في الـ preprocessing مهم جداً، بس شغلة زي السابقة أنا
+
+683
+01:02:07,850 --> 01:02:12,450
+ما شفتهاش، ما كانتش... ما كانتش تخطر في أحلامي إنّه فعلياً
+
+684
+01:02:12,450 --> 01:02:16,150
+ألاقي إنّه الـ nominal attribute أو ألاقي algorithm
+
+685
+01:02:16,150 --> 01:02:21,530
+فقط شغال على الـ numeric data، مصبوط؟ في ناحية الـ
+
+686
+01:02:21,530 --> 01:02:23,890
+preprocessing، احنا حكينا سابقاً إنّه الـ scaling
+
+687
+01:02:23,890 --> 01:02:29,530
+شغلة أساسية، الـ scaling شغلة أساسية، إيش الـ
+
+688
+01:02:29,530 --> 01:02:33,670
+advantages والـ disadvantages تبعت الـ algorithm
+
+689
+01:02:33,670 --> 01:02:41,090
+اللي عندنا؟ الـ advantages robust، شو يعني robust؟
+
+690
+01:02:41,090 --> 01:02:50,190
+قوي في وجود الـ noise data، في عندي data طيّب، هي
+
+691
+01:02:50,190 --> 01:02:55,770
+distinguish ولا distinguish، أنتَ
+
+692
+01:02:55,770 --> 01:02:58,010
+اللي بتقول، عشانك روحت على بلد ومارست فيها لغة
+
+693
+01:02:58,010 --> 01:03:00,730
+بلفظوها بالشكل هذا، بقى هذا لا يعني أن الناس
+
+694
+01:03:00,730 --> 01:03:04,510
+التانية بلفظوها باللهجات مختلفة. شكراً لك، تمام
+
+695
+01:03:04,510 --> 01:03:06,470
+سيدي؟ الآن
+
+696
+01:03:08,130 --> 01:03:13,890
+advantages robust أو robust noise training data
+
+697
+01:03:13,890 --> 01:03:17,590
+لما بكون في عندي noise data أنا بأضمن إنّه بدّيني
+
+698
+01:03:17,590 --> 01:03:23,050
+prediction صحيحة، بهدف إنّه فعلياً ما بتأثّرش، هو عمّال
+
+699
+01:03:23,050 --> 01:03:25,950
+بيحسب الـ instance أو العلاقة مع كل الـ instances و
+
+700
+01:03:25,950 --> 01:03:30,570
+لما تكون في عندي واحدة noise بتدوب ما بين العناصر
+
+701
+01:03:30,570 --> 01:03:34,730
+اللي موجودة، effective في حالة إذا كانت الـ data
+
+702
+01:03:34,730 --> 01:03:39,490
+تبعتي large enough، كبيرة. ليش؟ لأنّ بكون الـ decision
+
+703
+01:03:39,490 --> 01:03:43,810
+تبعي بعتمد على أكبر عدد ممكن من الـ neighbors
+
+704
+01:03:43,810 --> 01:03:48,070
+وبالتالي، كل ما كترت النقاط، صرت أنا بدوّر إنّه يكون
+
+705
+01:03:48,070 --> 01:03:52,710
+...احتمالية إنّه يكون في نقاط أقرب، أعلى الـ
+
+706
+01:03:52,710 --> 01:03:58,670
+disadvantages إنّه لازم أحدّد الكلمة  الجابلة، والـ
+
+707
+01:03:58,670 --> 01:04:02,090
+الكلمة التحديد هذه بحد ذاتها مشكلة، أنا ما بعرف ولا
+
+708
+01:04:02,090 --> 01:04:07,150
+حد في الدنيا بيعرف إيش أفضل key، الشغلة التانية الـ
+
+709
+01:04:07,150 --> 01:04:11,230
+distance based learning is not clear، مفهوم الـ
+
+710
+01:04:11,230 --> 01:04:13,470
+distance لما كنت بتكلّم على الـ numerical كنت مقتنع
+
+711
+01:04:13,470 --> 01:04:18,370
+فيها، بس لما دخلت الـ nominal data بدّنا نأخذ ونعطف
+
+712
+01:04:18,370 --> 01:04:23,190
+الكلام، مصبوط، وبالتالي ما صار مفهوم الـ similarity
+
+713
+01:04:23,190 --> 01:04:28,350
+مش clear بالنسبة لي كتير، عندي هان الشغلة التالتة
+
+714
+01:04:28,350 --> 01:04:33,650
+أو الأخيرة، إنّه أنا فعلياً هذا الـ algorithm بدّيني
+
+715
+01:04:33,650 --> 01:04:38,970
+high computation cost، ليش؟ أنتَ تخيّل عندي 100 ألف
+
+716
+01:04:38,970 --> 01:04:45,090
+instance، عشان أقدر أصنّف one instance بدّي أحسب
+
+717
+01:04:45,090 --> 01:04:51,830
+المسافة بينها وبين 100 ألف نقطة، طبعاً عندي 10 نقاط
+
+718
+01:04:51,830 --> 01:04:57,150
+بدّي أصنّفهم، بدّي أحسب الـ distance عشرة في 100 ألف
+
+719
+01:04:57,150 --> 01:05:02,810
+يعني مليون مرة، مليون distance بدّي أحسب وهكذا، لكن
+
+720
+01:05:02,810 --> 01:05:06,470
+هذا برضه، على الرغم من العيوب هذه، الـ algorithm هذه
+
+721
+01:05:06,470 --> 01:05:11,870
+في حالات كتيرة efficient إذا كانت في عندي memory
+
+722
+01:05:11,870 --> 01:05:16,150
+كافية، والـ data set تبعتي كويسة، بتدّيني prediction
+
+723
+01:05:16,150 --> 01:05:19,670
+عالي، لأنّ أحياناً يا جماعة الخير، بقدرش أبني model
+
+724
+01:05:19,670 --> 01:05:26,720
+أنا ما بلاحظ أي تغيير في الـ environment، مش هتأثّر فيه، في
+
+725
+01:05:26,720 --> 01:05:29,560
+الآخر، أنتَ بتدّيني قيم وأنا بحسب قرب أو بعد النقطة
+
+726
+01:05:29,560 --> 01:05:33,720
+جربت أو بعدت، أنا ما عندي مشكلة، لكن في حالة بناء الـ
+
+727
+01:05:33,720 --> 01:05:36,420
+model زي ما هشوف لاحقاً، أنا ببني model، الـ model
+
+728
+01:05:36,420 --> 01:05:42,540
+خلاص صار if then، طب اتغيّرت الدنيا، بدّك تغيّر الـ if
+
+729
+01:05:42,540 --> 01:05:45,840
+then، يعني بدّك تعمل الـ training مرة ثانية، وعادة
+
+730
+01:05:45,840 --> 01:05:51,020
+بنطلق على الـ K-Nearest Neighbor lazy learning
+
+731
+01:05:51,020 --> 01:05:54,020
+algorithm
+
+732
+01:06:01,130 --> 01:06:05,630
+براحتَه، ليش lazy؟ لأنّه فعلاً ما بيبنيش model، كسلان
+
+733
+01:06:05,630 --> 01:06:09,030
+ما عندوش استعداد يرهق نفسه في بناء model أو يحطّ
+
+734
+01:06:09,030 --> 01:06:12,970
+role كصُور العلاقة ما بين الـ attributes والـ class
+
+735
+01:06:12,970 --> 01:06:17,410
+فبيعتمد هو كل مرة على إيش؟ على الـ computation بدل
+
+736
+01:06:17,410 --> 01:06:25,380
+من حساب الـ model، متطفّل؟ لأ، هو شغال بذاته، هو كسول
+
+737
+01:06:25,380 --> 01:06:29,020
+بدّوش يبني، بقول لك لما بتيجي تعمل instance بعملك
+
+738
+01:06:29,020 --> 01:06:31,560
+الحسبة وبدّيك إياها وخلاصنا، بدّيش أبني model
+
+739
+01:06:31,560 --> 01:06:40,320
+واحتفظ فيه، اللي هي لأ
+
+740
+01:06:40,320 --> 01:06:43,520
+لأ، هذا الـ algorithm من الـ deterministic algorithm
+
+741
+01:06:43,520 --> 01:06:49,550
+يعني لو دوّرت له نفس الـ data set ونفس الـ Instance
+
+742
+01:06:49,550 --> 01:06:53,910
+Set وجرّبت 7000 مليون مرة تعمل الـ classification
+
+743
+01:06:53,910 --> 01:07:00,670
+تدّيك نفس النتيجة، آه
+
+744
+01:07:00,670 --> 01:07:04,670
+ممكن، أنا ما قلتش إنّ الـ algorithm هذا هو الأفضل
+
+745
+01:07:04,670 --> 01:07:09,550
+طبعاً؟ لكن هذا الـ algorithm هو الأسهل من ناحية
+
+746
+01:07:09,550 --> 01:07:13,490
+الاستيعاب، إيش اللي بيصير؟ فعشان هيك أنا بدّيت فيه،
+
+747
+01:07:13,490 --> 01:07:17,870
+الآن، هل هو أفضل algorithm؟ لأ، الآن، بس أنا بالنسبة
+
+748
+01:07:17,870 --> 01:07:21,950
+لي تجربة شخصية في الدكتوراه، كان الـ algorithm هذا
+
+749
+01:07:21,950 --> 01:07:26,850
+هو قُوت النجاة تبعي، قارنته بالـ support vector
+
+750
+01:07:26,850 --> 01:07:30,470
+machine وقارنته بالـ neural network، كان أداءه أقلّ
+
+751
+01:07:30,470 --> 01:07:33,930
+منهم، على الرغم من هيك كان اختيار إنّ هذا الـ
+
+752
+01:07:33,930 --> 01:07:36,910
+algorithm هو الأكثر مناسبة، أنا بأشتغل في dynamic
+
+753
+01:07:36,910 --> 01:07:41,430
+environment، بعمل computation على الجوال، وبالتالي
+
+754
+01:07:41,430 --> 01:07:44,830
+مستحيل موضوع الـ learning، إنّي أبني model كل ما تتغيّر
+
+755
+01:07:44,830 --> 01:07:49,540
+الـ environment، ومقارنة الـ Accuracy لـ Neural
+
+756
+01:07:49,540 --> 01:07:53,320
+Network ادّتني حوالي 97%، الـ support vector machine
+
+757
+01:07:53,320 --> 01:07:59,360
+الدنيا مقاربة لها، وهذا الدرّب الدنيا 94%، فبالضبط
+
+758
+01:07:59,360 --> 01:08:03,780
+فصرت هذا مش فارق، في مقابل إنّه هذا بيشتغل مع الـ
+
+759
+01:08:03,780 --> 01:08:06,020
+dynamic environment، لأنّ أنا مش بحاجة في كل ما
+
+760
+01:08:06,020 --> 01:08:10,700
+تتغيّر عوامل البيئة أروح أبني model جديد، فكان هو
+
+761
+01:08:10,700 --> 01:08:13,620
+فعلياً قُوّة النجاح زي ما قلت لك بالنسبة لي من تجربة
+
+762
+01:08:13,620 --> 01:08:17,430
+فهذا لا يعني أنّه سيّئ، لكن أنا قاعد بتكلّم advantages
+
+763
+01:08:17,430 --> 01:08:21,770
+أو disadvantages موجودة عندها، الـ code اللي موجود
+
+764
+01:08:21,770 --> 01:08:26,070
+عندها، بكل بساطة بيبني أو بيستخدم الـ KNN
+
+765
+01:08:26,070 --> 01:08:32,830
+algorithm بالـ Python، طبعاً أنا بفترض إنّي عامل
+
+766
+01:08:32,830 --> 01:08:33,210
+import
+
+767
+01:08:36,030 --> 01:08:38,790
+الآن، بكل بساطة، الشباب اللي أنا سويته في الـ code
+
+768
+01:08:38,790 --> 01:08:42,510
+هذا، كنت بدأت أشتغلَه، أو رابط مدامك، عملي الآن، عملت
+
+769
+01:08:42,510 --> 01:08:46,830
+import للـ pandas as bd، والـ bd مجرد أي أي shortcut
+
+770
+01:08:46,830 --> 01:08:50,350
+عشان تختصر من كتابة أسماء الـ libraries بأكثر من
+
+771
+01:08:50,350 --> 01:08:54,930
+طريقة، وقلت له الـ data 6 بعت equal pandas.read
+
+772
+01:08:54,930 --> 01:09:02,390
+csv iris.csv، data بتتكلم على تصنيف زهر السوسن
+
+773
+01:09:02,390 --> 01:09:08,680
+لثلاث أصناف، الـ data set هذه for training معدّة بشكل
+
+774
+01:09:08,680 --> 01:09:13,480
+جيد للـ classification، طبعاً يعني إذا أريد أن أفهم
+
+775
+01:09:13,480 --> 01:09:15,580
+الـ classification وأجرب الـ algorithm وأقارن ما
+
+776
+01:09:15,580 --> 01:09:18,880
+بين الـ algorithm، هذه واحدة من الـ data set المناسبة
+
+777
+01:09:18,880 --> 01:09:23,240
+عدد الـ rows اللي فيها 150 row، three classes، خمسين
+
+778
+01:09:23,240 --> 01:09:28,560
+row في كل class، طبعاً زي ما قلت لك هي عشان أنا أجرب
+
+779
+01:09:28,560 --> 01:09:33,520
+عليها، الآن قرأت الـ data set، عادة الـ data set تبعتي
+
+780
+01:09:35,720 --> 01:09:43,940
+هذه من الـ five attributes، السبل
+
+781
+01:09:43,940 --> 01:09:48,500
+length والسّبل width، عرض أقول السّبلة، والـ petal
+
+782
+01:09:48,500 --> 01:09:52,960
+length والـ petal width، عرض أقول البتلة تبع الزهرة
+
+783
+01:09:52,960 --> 01:09:59,800
+تمام؟ الكأس والورقة تبع الزهرة، والنوع، النوع اسمه
+
+784
+01:09:59,800 --> 01:10:00,180
+variety
+
+785
+01:10:04,190 --> 01:10:07,070
+Kindhand في الـ data set اللي أنا استخدمتها، في
+
+786
+01:10:07,070 --> 01:10:10,510
+data ثانية ممكن تسمّيها kind أو type أو citrus الـ
+
+787
+01:10:10,510 --> 01:10:15,570
+iris type إلى آخره، هذا الـ data set كلها جاية في
+
+788
+01:10:15,570 --> 01:10:19,890
+جدول واحد، block واحد، أنا الخطوة رقم واحد المفروض
+
+789
+01:10:19,890 --> 01:10:25,910
+أسويها مع أي عملية classification، أفصل، أفصل ما بين
+
+790
+01:10:25,910 --> 01:10:32,070
+الـ label والـ attributes، كيف بدّي أفصل بين الـ label
+
+791
+01:10:32,070 --> 01:10:35,790
+والـ attributes؟ وقلت له الـ attributes تبعتي تساوي
+
+792
+01:10:35,790 --> 01:10:40,930
+الـ data set.drop(variety)، drop للـ variety
+
+793
+01:10:40,930 --> 01:10:45,470
+إيش يعني؟ يشيله بس من وين؟ هيشيله من الـ
+
+794
+01:10:45,470 --> 01:10:49,750
+data set ويحطّها في data set جديدة يسمّيها ليها
+
+795
+01:10:49,750 --> 01:10:54,470
+features، و ليش قلت له x = 1؟ لأنّ أنا بدّي
+
+796
+01:10:54,470 --> 01:10:58,550
+أشيل column، الآن بعضكم ممكن يخطئ ويروح يحطّ يقول له
+
+797
+01:10:58,550 --> 01:11:02,410
+الـ IRIS أو الـ data set = كده بيصير يحدث عليها
+
+798
+01:11:02,410 --> 01:11:06,510
+بيلزمه يحطّ in place = True عشان يعدّل على نفس الـ data
+
+799
+01:11:06,510 --> 01:11:11,190
+set اللي هو شغال عليها، أنا هيك أخدت مين؟ أخدت الـ
+
+800
+01:11:11,190 --> 01:11:17,730
+features في data set جديدة، بدّي آخذ الـ labels أو الـ
+
+801
+01:11:17,730 --> 01:11:20,810
+target، هقول له الـ target = الـ data set.
+
+802
+01:11:20,810 --> 01:11:24,570
+variety أو الـ data set
+
+803
+01:11:32,680 --> 01:11:37,640
+variety، هنتعامل معاها as an instance من الـ
+
+804
+01:11:37,640 --> 01:11:41,260
+framework اللي موجود عندك هان class، واعتبرها
+
+805
+01:11:41,260 --> 01:11:43,900
+variable منه، وأخدها منه، مشاركة، وهان روحت أنتَ
+
+806
+01:11:43,900 --> 01:11:47,780
+اعتبرته ليها as dictionary أو كـ array أو vector
+
+807
+01:11:47,780 --> 01:11:51,340
+وراح يقطع لك إياه ويقول لك اتفضّل هذه وهذه، هديك نفس
+
+808
+01:11:51,340 --> 01:11:55,200
+النتيجة، الآن اللي هيصير عندي بعد هيك from the
+
+809
+01:11:55,200 --> 01:11:59,010
+sklearn.neighbors لأنّ هذه سلسلة algorithm
+
+810
+01:11:59,010 --> 01:12:07,370
+import KNeighborsClassifier، الـ model = K
+
+811
+01:12:07,370 --> 01:12:10,970
+Neighbors(5)، أخدت constructor وقلت له الـ k تبعتي
+
+812
+01:12:10,970 --> 01:12:15,950
+خمسة، وقلت له هاي الـ association بين الـ features والـ
+
+813
+01:12:15,950 --> 01:12:22,490
+label اللي عندي، الـ model.fit، بعد هيك قلت له
+
+814
+01:12:22,490 --> 01:12:26,750
+اعمل prediction لمين؟ للـ model.predict(test)، والـ
+
+815
+01:12:26,750 --> 01:12:32,070
+test إيش الـ test؟ هي عبارة عن sample instance فيها
+
+816
+01:12:32,070 --> 01:12:35,650
+خمسة وثلاثة وستة من عشرة، واحد واتنين وواحد و
+
+817
+01:12:35,650 --> 01:12:38,470
+سبعة، قلت له reshape عشان يعمل ليهم as a vector
+
+818
+01:12:38,470 --> 01:12:43,030
+تتطابق تماماً بالـ direction مع الـ instances اللي
+
+819
+01:12:43,030 --> 01:12:46,130
+موجودة في الـ predictions هذه، خزّنت إنّها الـ value في
+
+820
+01:12:46,130 --> 01:12:50,180
+الـ predictions، ما فيش الـ predictions يا شباب، هي
+
+821
+01:12:50,180 --> 01:12:58,240
+عبارة عن الـ array من خمس عناصر، تمام؟ إيش فيها؟ فيها
+
+822
+01:12:58,240 --> 01:13:05,420
+الـ shortest distances، الـ distances، أقصر مسافات، مش
+
+823
+01:13:05,420 --> 01:13:07,880
+أنا بقول له دوّر على الـ shortest five neighbors
+
+824
+01:13:07,880 --> 01:13:12,520
+فجاب لي أقصر خمس مسافات، هذا الـ role الأول في الـ array
+
+825
+01:13:12,520 --> 01:13:18,010
+الـ row الثاني، عبارة عن الـ array في الـ index تبعت الـ
+
+826
+01:13:18,010 --> 01:13:24,250
+instances، أصحاب أقصر مسافات، بضلّ عليك تاخذ الـ index
+
+827
+01:13:24,250 --> 01:13:29,210
+هدول، وتروح تجيب الـ label تبعتّهم، عشان إيش؟ تعمل
+
+828
+01:13:29,210 --> 01:13:33,290
+بينهم voting وتاخذ القيمة اللي موجودة، الله
+
+829
+01:13:33,290 --> 01:13:35,910
+يعطيكم العافية، وبشوفكم إن شاء الله لأسبوع القادم
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..577037daede77ec6830863a088ad3325f5955d03
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_postprocess.srt
@@ -0,0 +1,3316 @@
+1
+00:00:05,040 --> 00:00:07,160
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,160 --> 00:00:11,860
+أهلا وسهلا فيكم يا شباب في محاضرتنا الثانية في
+
+3
+00:00:11,860 --> 00:00:16,180
+موضوع ال classification كنا حكينا في المحاضرة
+
+4
+00:00:16,180 --> 00:00:20,100
+الماضية أن موضوع ال classification هي عبارة عن
+
+5
+00:00:20,100 --> 00:00:26,320
+تحديد عضوية المجموعات المعروفةعلى سبيل المثال لو
+
+6
+00:00:26,320 --> 00:00:31,920
+قلت أنا بدي .. في عندى تلك مجموعات طلاب .. في عندى
+
+7
+00:00:31,920 --> 00:00:35,340
+تلك مجموعات للطلاب مجموعات الامتياز و مجموعات
+
+8
+00:00:35,340 --> 00:00:41,180
+الجيد جدا و مجموعة الجيد الآن و جينا قولنا و الله
+
+9
+00:00:41,180 --> 00:00:46,940
+في عندنا سين من الناس او سين من الطلاب الآن سين من
+
+10
+00:00:46,940 --> 00:00:51,180
+الطلاب هذا لازم يصنف او لازم ينتمي لوحدة من
+
+11
+00:00:51,180 --> 00:00:56,530
+المجموعات التلاتة بناء علىعلى ايش؟ على معدله و لا
+
+12
+00:00:56,530 --> 00:01:01,030
+لأ على المعدل ان كان شرطنا ان المعدلات هذه معروفة
+
+13
+00:01:01,030 --> 00:01:06,790
+تبعا لمستوهم او تحصيلهم العلمى لان هذه التصنيف
+
+14
+00:01:06,790 --> 00:01:09,670
+لاحظ ان انا ماليش سلطة كتيرة على المجموعات
+
+15
+00:01:09,670 --> 00:01:13,570
+المجموعات already predefinedالان بدي أحاول أعرف
+
+16
+00:01:13,570 --> 00:01:16,690
+خصائص كل مجموعة، شو .. شو معدلات الامتياز أو شو
+
+17
+00:01:16,690 --> 00:01:20,010
+خصائص الأشخاص أصحاب الامتياز، خصائص المجموعة
+
+18
+00:01:20,010 --> 00:01:23,470
+الأولى، شو خصائص المجموعة التانية، شو خصائص
+
+19
+00:01:23,470 --> 00:01:26,670
+المجموعة التالتة، وسيم من الطلاب هذا اللي هي ال
+
+20
+00:01:26,670 --> 00:01:29,070
+instance اللي عندي اللي أنا بدي أضيفه لمجموعة من
+
+21
+00:01:29,070 --> 00:01:33,050
+المجموعات التلاتة، بدي أشوف إيش الخصائص اللي عنده،
+
+22
+00:01:33,050 --> 00:01:36,770
+و بتتقاطع مع أي خصائص من المجموعات التلاتة وبناء
+
+23
+00:01:36,770 --> 00:01:40,600
+عليه هيكده أنا بقىبقى صنفه للمجموعة اللي عندنا
+
+24
+00:01:40,600 --> 00:01:43,680
+وكنا اتكلمنا في ال learning ال machine learning
+
+25
+00:01:43,680 --> 00:01:47,340
+كون تقنيكس بشكل عام فيها supervised و unsupervised
+
+26
+00:01:47,340 --> 00:01:50,920
+تبع هل الإنسان متدخل ولا غير متدخل في الموضوع
+
+27
+00:01:50,920 --> 00:01:54,420
+وقولنا ان موضوع ال learning كمان incrementally هل
+
+28
+00:01:54,420 --> 00:01:58,760
+هو batch ولاonline وقلنا كمان في عندي model based
+
+29
+00:01:58,760 --> 00:02:03,120
+ولا instance based بناء هل ال algorithm هذا المخرج
+
+30
+00:02:03,120 --> 00:02:06,040
+تبع ال algorithm ال machine learning هديني model
+
+31
+00:02:06,040 --> 00:02:10,540
+ولا مش هديني model قلنا في الآخر بكل الأحوال انا
+
+32
+00:02:10,540 --> 00:02:14,220
+عندي خيوطين في اي عملية classification ال model
+
+33
+00:02:14,220 --> 00:02:18,860
+construction كيف انا بدي اكون في عندي function لما
+
+34
+00:02:18,860 --> 00:02:24,810
+انا اديهاالـ object تروح تصنف ليه تحت المصنفات
+
+35
+00:02:24,810 --> 00:02:29,110
+المعروفة مسبقًا و ال model usage كيف أنا بدي
+
+36
+00:02:29,110 --> 00:02:33,190
+استخدم ال model الموجود هنا و قولنا عادة أنا بأجسم
+
+37
+00:02:33,190 --> 00:02:36,390
+ال data set تبعتي ل training set و testing set
+
+38
+00:02:36,390 --> 00:02:39,550
+عشان أعمل evaluation و من أهم ال concept اللي لازم
+
+39
+00:02:39,550 --> 00:02:43,190
+أنا أعرفه ال accuracy و هي المقدار أو ال ratio تبع
+
+40
+00:02:43,190 --> 00:02:46,760
+ال correct predictionالـ Correct Classification
+
+41
+00:02:46,760 --> 00:02:50,360
+على كل الـ instances اللي عملها Classification
+
+42
+00:02:50,360 --> 00:02:54,240
+وقلنا لـ Speed و Robustness جدّيشبو يدّيني result
+
+43
+00:02:54,240 --> 00:02:58,640
+صحيحة مع وجود ال noise data ال scalability و ال
+
+44
+00:02:58,640 --> 00:03:01,860
+interpretability حكينا عليهم و كان المفروض اليوم
+
+45
+00:03:01,860 --> 00:03:06,420
+ان شاء الله تعالى نبدأ مع ال algorithms و نشوف كيف
+
+46
+00:03:06,420 --> 00:03:08,720
+ال algorithm قاعدة بتشتغل مع العناصر اللي موجودة
+
+47
+00:03:08,720 --> 00:03:13,570
+عندى او في ال classification و اول algorithmبيشتغل
+
+48
+00:03:13,570 --> 00:03:17,670
+او هنتكلم عليه الـ K nearest neighbor الان K
+
+49
+00:03:17,670 --> 00:03:21,410
+nearest neighbor شو يعني nearest neighbor في الأول
+
+50
+00:03:21,410 --> 00:03:27,710
+أقرب جار اقرب جار لو انا اجيت اسمك هاني هاني بدي
+
+51
+00:03:27,710 --> 00:03:32,410
+اعرف هاني كويس
+
+52
+00:03:32,410 --> 00:03:37,490
+ايش ممكن اروح اسوي اروح اطبق مين اصحاب هاني مين
+
+53
+00:03:37,490 --> 00:03:45,200
+اصحاب هاني المقربين وبناء عليهبنقول إنه هاني صفاته
+
+54
+00:03:45,200 --> 00:03:49,840
+بصفات الناس اللي أنا بعرفهم من مين من أصحابه أو من
+
+55
+00:03:49,840 --> 00:03:53,380
+جيرانه Can your neighbor يعني أنا بدي أحطلهم عدد
+
+56
+00:03:53,380 --> 00:03:57,450
+من أقرب اتنين لهاني من أقرب تلاتة من أقرب خمسةو
+
+57
+00:03:57,450 --> 00:04:01,150
+هنتكلم ليش الكيه هذي و إيش أهميتها النايف بيسيان
+
+58
+00:04:01,150 --> 00:04:04,270
+هو أنا بعتمد على probability decision tree هنتشوف
+
+59
+00:04:04,270 --> 00:04:07,930
+كيف ممكن أنا أبني decision بناء على العناصر هي و
+
+60
+00:04:07,930 --> 00:04:11,230
+بعدين ننتقل لباقي propagate ال neural network نبدأ
+
+61
+00:04:11,230 --> 00:04:15,010
+مع ال kenyer's neighbor ال kenyer's neighbor هو
+
+62
+00:04:15,010 --> 00:04:19,850
+عبارة عن instance based learning التصنيف الأخير
+
+63
+00:04:19,850 --> 00:04:23,610
+خالص لما قلت إنه هل ال algorithm تبعي بيبنيلي
+
+64
+00:04:23,610 --> 00:04:28,020
+model ولا ماببديليش model بيديني value مباشرةالـ
+
+65
+00:04:28,020 --> 00:04:30,780
+Canary Snapper من الـ algorithm اللي ما بتعطيني
+
+66
+00:04:30,780 --> 00:04:37,020
+model بتعطيني نتيجة .. بتعطيني نتيجة وبالتالي it
+
+67
+00:04:37,020 --> 00:04:40,460
+doesn't use any model to fit .. مابتبنيش model
+
+68
+00:04:40,460 --> 00:04:47,060
+مطلقا .. it's only based on memory فقط بتعتمد على
+
+69
+00:04:47,060 --> 00:04:51,040
+الذاكرة .. ليش الذاكرة؟ انه فعليا عملية حساب كلها
+
+70
+00:04:51,040 --> 00:04:55,460
+تبتصيرفي ال memory و كل ما كانت ال memory أكبر لأن
+
+71
+00:04:55,460 --> 00:05:01,100
+ال data set أكبر بكون أنسب ال k-nearest neighbor ك
+
+72
+00:05:01,100 --> 00:05:04,240
+classification algorithm بتديني نتيجة او نتيجة
+
+73
+00:05:04,240 --> 00:05:13,400
+تبعته أو ال class بناء على ال majority أو الأغلبية
+
+74
+00:05:13,400 --> 00:05:22,400
+في جيران العنصر هذا لو انا اجيت قلت في عندىمجموعة
+
+75
+00:05:22,400 --> 00:05:23,020
+من الأشخاص
+
+76
+00:05:50,980 --> 00:05:56,060
+قلنا أخونا هذا أو صاحبنا هذا بدنا نحطه لمجموعة من
+
+77
+00:05:56,060 --> 00:06:02,460
+المجموعتين شو بدنا نسوي ال
+
+78
+00:06:02,460 --> 00:06:06,160
+K-nearest neighbor algorithm أو ال KNN algorithm
+
+79
+00:06:06,160 --> 00:06:13,880
+بشتغل كالتالي بقول احسب الفرق ما بين العنصر هذا و
+
+80
+00:06:13,880 --> 00:06:21,380
+كل العناصر اللي موجودة يعني حد اقارن اناالعنصر هذا
+
+81
+00:06:21,380 --> 00:06:26,160
+مع هذا و مع هذا و مع هذا و مع هذا و مع هذا و مع
+
+82
+00:06:26,160 --> 00:06:31,520
+هذا ك instance ك object بغض النظر عن طريقة
+
+83
+00:06:31,520 --> 00:06:39,420
+المقارنة و اقارنه كمان مع
+
+84
+00:06:39,420 --> 00:06:45,340
+كل الأشخاص هدول لاحظ ان انا ضمنت كل ال data set
+
+85
+00:06:45,340 --> 00:06:49,950
+اللي موجودة عندىأصبت؟ يعني إذا كانت هدول هم ال
+
+86
+00:06:49,950 --> 00:06:53,110
+data set في ال two classes فانا ضمنت كل ال data
+
+87
+00:06:53,110 --> 00:06:57,810
+set الانشوف بيروح بيقوللي ال key nearest neighbor
+
+88
+00:06:57,810 --> 00:07:03,950
+مين أقرب ناس كانوا لإله أقرب ناس كانوا لإله أقرب
+
+89
+00:07:03,950 --> 00:07:07,570
+تلاتة
+
+90
+00:07:07,570 --> 00:07:14,810
+هيهم
+
+91
+00:07:22,800 --> 00:07:30,980
+مصبوط؟ أقرب تلاتة هدول للناس فهو هينتمي لنفس
+
+92
+00:07:30,980 --> 00:07:35,920
+المجموعة اللي فيها غالبية ال closest neighbors
+
+93
+00:07:35,920 --> 00:07:42,080
+هدول إيش الغالبية هان؟ أزرق فأخونا هذا بينضم لمين؟
+
+94
+00:07:42,080 --> 00:07:47,290
+للأزرق بناء على مبدأالـ Voting للمجارة أو حسبة
+
+95
+00:07:47,290 --> 00:07:51,450
+المجارة أو الأغلبية تبعت الأشخاص أو تبعت العناصر
+
+96
+00:07:51,450 --> 00:07:56,650
+الموجودة عنده يعني يا إيهاب تأخذ وقت كتير أكيد او
+
+97
+00:07:56,650 --> 00:07:59,230
+تشوف ال media مثلا من الجهة الأولى و ال media
+
+98
+00:07:59,230 --> 00:08:11,730
+التانية و تشوف من أقرب درجة اه بس الآن هاي
+
+99
+00:08:11,730 --> 00:08:12,690
+ال center صح؟
+
+100
+00:08:19,480 --> 00:08:24,340
+و هي ال center تبعت المجموعة التانية اذا انا هنا
+
+101
+00:08:24,340 --> 00:08:34,140
+او بلاش اذا انا هنا المسافة لل center اكبر من
+
+102
+00:08:34,140 --> 00:08:43,980
+المسافة لل center بينما كعناصر انا اقرب لهنا نعم
+
+103
+00:08:43,980 --> 00:08:47,120
+خليها
+
+104
+00:08:49,960 --> 00:08:52,440
+و نشوف مين أبعد واحد من انا ترقبى يعنى مش انه
+
+105
+00:08:52,440 --> 00:08:57,660
+مقارنة كذلك بس مهمش انا الان كريم .. كريم بيحمل
+
+106
+00:08:57,660 --> 00:09:05,180
+صفات صاحبه القريب منه اللي دائما ملازم له مش على
+
+107
+00:09:05,180 --> 00:09:09,340
+اللي بعيد ولا لا؟ يعني زي النقطة احنا بنعمل زي ال
+
+108
+00:09:09,340 --> 00:09:15,460
+cut ل ال picture اللي بدنا و الجرافة ده طيب ديني
+
+109
+00:09:15,460 --> 00:09:18,060
+كلام سيبني من ال dimension معين عشان .. ديني كلام
+
+110
+00:09:18,060 --> 00:09:22,820
+أبسط عشان انا في الدرافة مجدطيب طبعا عندنا كتير
+
+111
+00:09:22,820 --> 00:09:26,580
+يعني مثلا عندنا مية ألف تمام والنقطة اللي بدنا
+
+112
+00:09:26,580 --> 00:09:30,920
+نعرفها فانهي وفانهي وواحدة ضابط حوالي مثلا متين اه
+
+113
+00:09:36,820 --> 00:09:39,300
+طب ماهي .. مهمش .. بقى انت الرسم ال .. الوجد اللي
+
+114
+00:09:39,300 --> 00:09:42,600
+انت أخدته في رسم العناصر هو عبارة عن computation
+
+115
+00:09:42,600 --> 00:09:46,720
+لما روحت جبت المتين .. لأ لما انت روحت جبت المتين
+
+116
+00:09:46,720 --> 00:09:50,240
+و حطيت النقطة هاي بينهم انت already عملت ال
+
+117
+00:09:50,240 --> 00:09:53,040
+computation كلهيتها عشان تقدر تجيبهم في نفس النقطة
+
+118
+00:09:53,040 --> 00:09:57,960
+بقعة على الرسم ولا كيف ان حطت النقطة هذه أبعد من
+
+119
+00:09:57,960 --> 00:10:01,760
+هذه بالمسافة هاي بالتحديد و هذه أبعد بل برضه انت
+
+120
+00:10:01,760 --> 00:10:03,580
+عملت هنا قران بالمثل
+
+121
+00:10:06,130 --> 00:10:10,230
+كيف حددت الـ 200 ألف ان هدول هم الأقرب؟ الـ 200؟
+
+122
+00:10:10,230 --> 00:10:12,610
+اه او الـ 200 عنصر هدول .. كيف انت حددتهم ان هدول
+
+123
+00:10:12,610 --> 00:10:16,750
+الأقرب؟ كيف عرفت الـ position تبعتها ان هدول الـ
+
+124
+00:10:16,750 --> 00:10:22,730
+200 هم الأقرب لإلها؟ فعليا لفت عليهم كلهم؟ مصبوط؟
+
+125
+00:10:22,730 --> 00:10:25,850
+و لا أنا غلطان انت الآن كمان مرة انا عندي 100 ألف
+
+126
+00:10:25,850 --> 00:10:29,710
+عندي
+
+127
+00:10:29,710 --> 00:10:34,010
+100 ألف in instance انت عمالك بتقوللي انا حددت الـ
+
+128
+00:10:34,010 --> 00:10:38,620
+200 نقطة الأقربكيف حددت المتين نقطة الأقرب من
+
+129
+00:10:38,620 --> 00:10:45,000
+الميت ألف مرت عليهم كلهم انت بتقولي انا اعتمدت
+
+130
+00:10:45,000 --> 00:10:47,980
+الرسم ما هو الرسم برضه نفسه لنفس الكلام هو عبارة
+
+131
+00:10:47,980 --> 00:10:50,940
+عن حدد النقاط و جدر يرسم لك اياهم او يعملهم
+
+132
+00:10:50,940 --> 00:10:57,180
+simulation تبع لل distance او قربهم او بعضهم تمام
+
+133
+00:10:57,180 --> 00:11:01,200
+تمام
+
+134
+00:11:05,870 --> 00:11:09,630
+إذا مافيش يعني صفر فقط كم بتزود عشرين ممتاز ممتاز
+
+135
+00:11:09,630 --> 00:11:12,670
+يعني أنت بدأت بشكل random مع عشرة صنطي و هل في
+
+136
+00:11:12,670 --> 00:11:17,070
+عناصر في العشرة صنطي و لا مافيش ماشي الحال و بعد
+
+137
+00:11:17,070 --> 00:11:24,250
+هيك شو روحت سويت زودت المسافة طب إيه أساسا أساسا
+
+138
+00:11:24,250 --> 00:11:28,050
+النقطة تبعتك النقطة تبعتك وين موجودة هتقول اللي
+
+139
+00:11:28,050 --> 00:11:31,790
+موجودة في XY صح
+
+140
+00:11:32,780 --> 00:11:35,880
+أصبت، لأ مش أسهل، انا بتدقق ان انا مش أسهل، هي
+
+141
+00:11:35,880 --> 00:11:43,520
+النقطة، هان عشان تحدد النقاط اللي في القطر عشرة
+
+142
+00:11:43,520 --> 00:11:48,060
+صنطي أو نص قطر عشرة، بدك تمر على كل النقاط عشان
+
+143
+00:11:48,060 --> 00:11:52,060
+تعرف مين النقاط اللي بتجهز من القطر هذا، و تجيبهم
+
+144
+00:11:55,650 --> 00:11:59,390
+مش بعد المحاولة، أنا بضل بتناقش معاك ليش؟ لأنه في
+
+145
+00:11:59,390 --> 00:12:03,450
+الآخر الشغل اللي انت غايب عنك ان ال graph أو الرسم
+
+146
+00:12:03,450 --> 00:12:09,390
+هذا ما إجا إلا غير بعملية حسابية، تمام؟ والعملية
+
+147
+00:12:09,390 --> 00:12:13,230
+الحسابية هي هي نفسها، أنا عمالي بمر على كل العناصر
+
+148
+00:12:13,230 --> 00:12:17,050
+عشان أحدد من الميتين، الآن أنا إيش بعرفني؟ عندي
+
+149
+00:12:17,050 --> 00:12:23,190
+نقطة هيها موجودة هنا، صح؟ هي نقطة، مجموعة ال
+
+150
+00:12:23,190 --> 00:12:28,160
+attributes هدول أو بلاش X وYالنقطة هذه ضمن المحيط
+
+151
+00:12:28,160 --> 00:12:32,020
+وهذه ليست من ضمن المحيط، ماذا أفعل؟ ماذا أفعل؟ بدي
+
+152
+00:12:32,020 --> 00:12:36,240
+أحسب الفرق ما بينه وبين النقطة هذه، مظبوط؟ اللي هي
+
+153
+00:12:36,240 --> 00:12:42,180
+الـ distance حسبت الـ distance، لأ طلعت برة، فانا
+
+154
+00:12:42,180 --> 00:12:48,100
+أتبرة الحسبة هذه، صح؟ هروح على ال X واحد و Y واحد،
+
+155
+00:12:48,100 --> 00:12:53,510
+أه هذه كانت في المنطقة هذهفانت العناصر هذه مش
+
+156
+00:12:53,510 --> 00:12:57,970
+هتقدر تحصر من منهم النقاط الموجودة اللي تمر على كل
+
+157
+00:12:57,970 --> 00:13:03,190
+ال data set صح؟ لما
+
+158
+00:13:03,190 --> 00:13:06,890
+تلاقي طريقة تانية بتعرف نتناقش أنا وياك فيها
+
+159
+00:13:06,890 --> 00:13:13,650
+بالمنطق هذا ال
+
+160
+00:13:13,650 --> 00:13:16,590
+two dimension الرمج جامعي بتعكس الصورة ال data set
+
+161
+00:13:16,590 --> 00:13:17,550
+تبعتك كام attribute
+
+162
+00:13:20,870 --> 00:13:28,570
+ال data set تبعتك كام attributes؟ ال instance
+
+163
+00:13:28,570 --> 00:13:35,210
+تبعتي فيها عشرة attributes بتقدر ترسمها؟
+
+164
+00:13:35,210 --> 00:13:38,190
+على أنه two values اللي موجودة عندي ال point و ال
+
+165
+00:13:38,190 --> 00:13:44,130
+label فقط one attribute و ال label كبعته و العشرة؟
+
+166
+00:13:44,130 --> 00:13:45,510
+العشرة بتقدر ترسمها كيف؟
+
+167
+00:13:48,930 --> 00:13:51,790
+ماشي ماشي قعدة بوريك إياها أكتر ان شاء الله تعالى
+
+168
+00:13:51,790 --> 00:13:57,590
+طيب الآن اللي الرسمة كانت لك توضيح عشان هوصلك
+
+169
+00:13:57,590 --> 00:14:01,510
+مفهوم ال concept تبع الجيران مش أكتر فماصيرش
+
+170
+00:14:01,510 --> 00:14:06,570
+الرسمة هي إيش هي الحل اللي موجود عندك طيب الآن
+
+171
+00:14:06,570 --> 00:14:10,130
+الفكرة كمان مرة بتدور حوالين ال canary's neighbor
+
+172
+00:14:10,130 --> 00:14:15,180
+انه أنا بروح بدور على ال closest objectللنقطة اللي
+
+173
+00:14:15,180 --> 00:14:18,040
+موجودة تبعتي هان لل instance اللي انا فعليا
+
+174
+00:14:18,040 --> 00:14:21,880
+بعرفهاش عشان انا اشوف مين جيرانها او مين الأقرب
+
+175
+00:14:21,880 --> 00:14:27,060
+لها لازم اعمل computation بينها و بين كل ال
+
+176
+00:14:27,060 --> 00:14:31,480
+instances اللي موجودة الان عشان انا اعرف مين اصحاب
+
+177
+00:14:31,480 --> 00:14:37,160
+كريمانت صاحب كريم؟ انت صاحب كريم؟ انت صاحب كريم؟
+
+178
+00:14:37,160 --> 00:14:40,280
+بتعرف كريم؟ بتعرف كريم؟ همر على كل اللي في القاعة
+
+179
+00:14:40,280 --> 00:14:44,660
+عشان أحدد بشكل دقيق كم واحد بيعرف كريم أو كم واحد
+
+180
+00:14:44,660 --> 00:14:48,960
+صحاب كريم، مصبوط؟ وبعد هيك بقرر صفة كريم بناء على
+
+181
+00:14:48,960 --> 00:14:54,060
+أغلبيتهم عشان هيك بروح بدور على ال closest K point
+
+182
+00:14:54,060 --> 00:14:59,480
+الان كمان ال K تبعتي هذه فيها مشكلة الان لما يكون
+
+183
+00:14:59,480 --> 00:15:02,500
+ال label تبعي binary
+
+184
+00:15:07,590 --> 00:15:11,090
+classification شو يعني binary classification؟ just
+
+185
+00:15:11,090 --> 00:15:22,450
+عندي two labels positive و negative أجل
+
+186
+00:15:22,450 --> 00:15:28,110
+عدد K عشان اتكلم علي majority بينهم جداش أجل عدد K
+
+187
+00:15:28,110 --> 00:15:34,610
+عشان اقدر اش ال majority اش الأغلبيةأكتر من النص،
+
+188
+00:15:34,610 --> 00:15:40,370
+50% مش أغلبية، تعادل، مظبوط، بدك أكتر من النص،
+
+189
+00:15:40,370 --> 00:15:44,710
+يعني زي ما نتكلم as integer values من 100، 51
+
+190
+00:15:44,710 --> 00:15:48,610
+value من 100، هيك بكون أتكلم عن أغلبية، فأقل
+
+191
+00:15:48,610 --> 00:15:53,250
+أغلبية هي، مظبوط؟ وابقاش الكل ممكن تحقق الأغلبية
+
+192
+00:15:53,250 --> 00:15:58,630
+عندي، في حالة two أقل classification، binary
+
+193
+00:15:58,630 --> 00:16:09,310
+classificationK على 2 زائد 1 K على 2 زائد 1 إيش
+
+194
+00:16:09,310 --> 00:16:19,330
+يعني؟ وين الخمسين؟ شو يا K أنا قاعد بقولك الآن لما
+
+195
+00:16:19,330 --> 00:16:22,990
+أنا بدي أجيب عدد الجيران إيش عدد الجيران اللي أنا
+
+196
+00:16:22,990 --> 00:16:27,830
+بدي أهتم فيها عشان أتكلم على ال majority الحي أو
+
+197
+00:16:27,830 --> 00:16:32,680
+أصحاب كريم الآن اللي موجودينخمسين، كل اللقاعة
+
+198
+00:16:32,680 --> 00:16:35,600
+بقولك احنا أصحاب كريم، ماشي الحال، بدي ال closest
+
+199
+00:16:35,600 --> 00:16:43,060
+أقل عدتهم جداش، أقل K، عشان فعليا لما أنا أجي
+
+200
+00:16:43,060 --> 00:16:47,680
+أقارن كريم بينهم، يكون في voting ما بينهم، يكون في
+
+201
+00:16:47,680 --> 00:16:53,560
+أغلبية، تلاتة، ليش تلاتة؟إتنين و واحد هاي ال key
+
+202
+00:16:53,560 --> 00:16:56,100
+اللي أنا بدور عليها يا جماعة الخير أنا الآن بقول
+
+203
+00:16:56,100 --> 00:16:59,860
+عدد العناصر الموجودة زي ما رسمته في الرسم هان عشان
+
+204
+00:16:59,860 --> 00:17:04,760
+أقدر أعمل مقارنة و أروح باتجاه الأغلبية لازم يكون
+
+205
+00:17:04,760 --> 00:17:09,320
+في عندي عدد محدد الآن بما أنه أنا في عندي two
+
+206
+00:17:09,320 --> 00:17:13,300
+labels فقط بينفعش أقول ال key تبعتي equal اتنين
+
+207
+00:17:13,300 --> 00:17:17,840
+لأنه مافيش فيها voting لأنه مافيش فيها قرار ممكن
+
+208
+00:17:17,840 --> 00:17:21,390
+يصير خمسين و لو قلت ال key تبعتي واحدبرضه مافيش
+
+209
+00:17:21,390 --> 00:17:27,150
+فيها voting بروح بسمته بسمة أقرب point له خلصنا طب
+
+210
+00:17:27,150 --> 00:17:33,010
+هد ماهي لو كانت ال point هد noise point نجلته بعيد
+
+211
+00:17:33,010 --> 00:17:38,270
+مين جالك انت شيلت كل ال noise point مين جالك انك
+
+212
+00:17:38,270 --> 00:17:41,470
+انت خلصت منهم كلهم انت خلصت من اللي قدرت تحددها من
+
+213
+00:17:41,470 --> 00:17:46,490
+اللي قدرت تشوفهامصبوط لكن الان فعليا point هي
+
+214
+00:17:46,490 --> 00:17:49,090
+بعيدة نوعا ما فيها بعض ال noisy لكن ال noisy
+
+215
+00:17:49,090 --> 00:17:53,850
+بالنسبالك مش واضحة فشو هتسوي فيه هتاخدوا لإلها
+
+216
+00:17:53,850 --> 00:17:59,870
+الآن الفكرة اذا
+
+217
+00:17:59,870 --> 00:18:03,650
+كنت انا بتكلم على اتنين فاتنين زائد واحد عشان اقدر
+
+218
+00:18:03,650 --> 00:18:08,570
+اعمل فيهم voting طب لو كانوا three classes اربعة
+
+219
+00:18:08,570 --> 00:18:15,930
+طب ما هم الأربعة ممكن يكونوااتنين اتنين او ال
+
+220
+00:18:15,930 --> 00:18:19,210
+class التالت وينه مش موجود و برضه ماجدتش اعمل
+
+221
+00:18:19,210 --> 00:18:21,910
+voting الفكرة اللي انا بده اقولها يا جماعة الخير
+
+222
+00:18:21,910 --> 00:18:28,030
+دائما حاول تخلي العدد تبعك فردي و كبره شوية عشان
+
+223
+00:18:28,030 --> 00:18:32,590
+تقدر تعمل voting صح او عشان يصير في عندك فرصة لل
+
+224
+00:18:32,590 --> 00:18:36,430
+voting أكبر يعني مثلا في ال three classes أربعة is
+
+225
+00:18:36,430 --> 00:18:43,650
+not enough و خمسة غالبا is not enoughسبعة ممكن
+
+226
+00:18:43,650 --> 00:18:46,230
+تكون fair بس برضه ممكن أجع في مشكلة اتنين اتنين
+
+227
+00:18:46,230 --> 00:18:51,450
+واحد قوللي طب في حالة .. خد تمانية التمانية و
+
+228
+00:18:51,450 --> 00:18:54,910
+التلاتة يعني بين جثين إذا كان عدد ال classes فردي
+
+229
+00:18:54,910 --> 00:19:03,050
+خد عدد ال key تبعتك عدد زوجي و أكبر من ضعف الرقم
+
+230
+00:19:03,050 --> 00:19:06,350
+هذا عشان إيش تقدر تعمل بينهم voting على الأقل
+
+231
+00:19:06,350 --> 00:19:10,910
+بتضمن إن في class منهم أكبر أو صار فيه المجارية
+
+232
+00:19:10,910 --> 00:19:15,850
+أكتر من التانيفي المقابل، لو كانوا الآن العدد الـK
+
+233
+00:19:15,850 --> 00:19:20,870
+تبعتي أو عدد ال classes تبعتي زوجي، تمام؟ خد عدد
+
+234
+00:19:20,870 --> 00:19:25,270
+فردي أكبر من ضعفه، كمان مرة هذا الكلام مش قرآن،
+
+235
+00:19:25,270 --> 00:19:28,630
+هذا مجرد نصيحة عشان تقدر تاخد K و تضمن فيها
+
+236
+00:19:28,630 --> 00:19:32,210
+voting، اللي أنا بقوله كالتالي، لو كان عدد ال
+
+237
+00:19:32,210 --> 00:19:38,370
+classes عندي تلاتة، ضعفهم ستة، تمام؟ فبدي أخد
+
+238
+00:19:38,370 --> 00:19:42,660
+سبعة، أو أنا بقولك خد تمانيةخُد الـ K تبعتك تمانية
+
+239
+00:19:42,660 --> 00:19:47,320
+هنا الـ A لو الـ three classes دول بدهم يتوزعوا
+
+240
+00:19:47,320 --> 00:19:51,500
+إيش الاحتمالات يكونوا موجودين؟ التمانية كلهم لنفس
+
+241
+00:19:51,500 --> 00:19:55,500
+ال class وهذا بيعملت ال prediction تبعتي صحيحة 100
+
+242
+00:19:55,500 --> 00:20:00,660
+% تمام؟
+
+243
+00:20:00,660 --> 00:20:08,770
+أربعة أو أربعة أو أربعة ل classو 2 و 2 برضه ال
+
+244
+00:20:08,770 --> 00:20:12,230
+majority لاحظ انا بتكلم على ال .. لاحظ صرت أتكلم
+
+245
+00:20:12,230 --> 00:20:16,090
+على الأغلبية مجسمين على عدد العناصر بطلة الأغلبية
+
+246
+00:20:16,090 --> 00:20:22,390
+50% صار قداش هو ال top rank ده اللي هنسميه طيب بس
+
+247
+00:20:22,390 --> 00:20:27,970
+برضه ممكن أجع في مشكلة تلاتة تلاتة اتنين عشان هيك
+
+248
+00:20:27,970 --> 00:20:29,970
+بقولك الكلام اللي أنا بقوله أو النصيحة اللي أنا
+
+249
+00:20:29,970 --> 00:20:34,840
+جاعت بقولها مش أساس مهي مجردبدأ ترضي على مبدأ
+
+250
+00:20:34,840 --> 00:20:39,720
+التجربة والخطأ أو التجربة والقياس لحد ما تصل كيه
+
+251
+00:20:39,720 --> 00:20:43,700
+مناسبة بالنسبة لك والكيه المناسبة هذه ممكن تختلف
+
+252
+00:20:43,700 --> 00:20:47,400
+في domain تاني ليش؟ لأنه فعليا هذه واحدة من ال
+
+253
+00:20:47,400 --> 00:20:51,020
+challenge الخاصة او من المشاكل الموجودة مع ال k
+
+254
+00:20:51,020 --> 00:20:54,300
+-nearest neighbor اي جران قداش عدد الجران اللي انا
+
+255
+00:20:54,300 --> 00:21:00,100
+اعتمد فيهم زي ما قلنا سابقا طيب الآنبما أنه انا
+
+256
+00:21:00,100 --> 00:21:03,560
+بتحاول .. بتحاول أشوف ال K اللي بتتناسب مع عملية
+
+257
+00:21:03,560 --> 00:21:08,540
+ال voting زي ما قلتلك حاول تكبرها شوية وخلف بينها
+
+258
+00:21:08,540 --> 00:21:13,320
+وبين عدد عناصر ال element يعني لو كان زوجي أو فردي
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+259
+00:21:13,320 --> 00:21:19,740
+إلى آخره عفوا ال
+
+260
+00:21:19,740 --> 00:21:24,540
+main concept أنا فيه عندي unseen instance unseen
+
+261
+00:21:24,540 --> 00:21:29,610
+instance X اللي قطعت ال puzzle هايوفي عندي .. في
+
+262
+00:21:29,610 --> 00:21:39,050
+عندي two classes suns و moons شموس وقمار وبيسألني
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+263
+00:21:39,050 --> 00:21:44,250
+خيارة البصر هذه هتكون قمر ولا شمس لأن هي موجودة
+
+264
+00:21:44,250 --> 00:21:49,470
+هنا في الرسمة بناء على الرسمة إذا كانت ال key
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+265
+00:21:49,470 --> 00:21:50,570
+تبعتي هنا أربعة
+
+266
+00:21:53,580 --> 00:21:56,780
+هيصير في عندي اتنين و اتنين اذا اختارت ال K أربعة
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+267
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+اتنين و اتنين مش هقدر اعمل voting لكن لو روحت لل K
+
+268
+00:22:01,160 --> 00:22:08,360
+equal 11 دائرة البلون الأزرق هصار في عندي أربعة و
+
+269
+00:22:08,360 --> 00:22:14,400
+سبعة ال majority ال majority لمين؟ للمون وبالتالي
+
+270
+00:22:14,400 --> 00:22:18,540
+هاي ال instance هذه عبارة عن قمر
+
+271
+00:22:22,570 --> 00:22:26,470
+النصيحة to avoid any noisy data او أي نصيحة نصيحة
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+272
+00:22:26,470 --> 00:22:29,550
+نصيحة نصيحة تستخدم more than one neighbor ماتشتغلش
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+273
+00:22:29,550 --> 00:22:33,350
+على one neighbor ودائما زي ما قلتلك حاول اختار عدد
+
+274
+00:22:33,350 --> 00:22:36,190
+اللي له علاقة بعدد ال classes بحيث ان يكون في عندك
+
+275
+00:22:36,190 --> 00:22:41,010
+estimation لو بسيطة كيف تفرق ما بين ال classes
+
+276
+00:22:41,010 --> 00:22:44,310
+اللي موجودة و تقدر تعمل مجارتي مين عنده ال data
+
+277
+00:22:44,310 --> 00:22:47,050
+set تبعد ال classification اكتر من ال two classes
+
+278
+00:22:47,050 --> 00:22:55,140
+الان معظمكم كمجموعات اشتغلتوا في data setsال data
+
+279
+00:22:55,140 --> 00:22:58,940
+set اللي لها علاقة بال classification مين عنده
+
+280
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+data set ال label تبعتها اكتر من two classes طب
+
+281
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+مين عنده binary ال classification مجموعة واحدة فقط
+
+282
+00:23:07,280 --> 00:23:13,100
+اللي عارفش اللي عندها والباقي والباقي ماحدش عارفش
+
+283
+00:23:13,100 --> 00:23:16,440
+اللي سلمه مجرد جرينا data for classification
+
+284
+00:23:16,440 --> 00:23:23,020
+ورفعناها وخلصنا كان الله بالسر علينا الان
+
+285
+00:23:23,850 --> 00:23:28,830
+بما ان كل ال instances اللي عندي موجودة في ال N D
+
+286
+00:23:28,830 --> 00:23:32,830
+Space بين
+
+287
+00:23:32,830 --> 00:23:35,870
+جثين ال N هي عبارة عن عدد ال attributes اللي
+
+288
+00:23:35,870 --> 00:23:39,550
+موجودة في ال data set اللي ممكن تكون واحد وممكن
+
+289
+00:23:39,550 --> 00:23:42,890
+تكون اتنين وممكن تكون تلاتة وممكن تكون عشرة وممكن
+
+290
+00:23:42,890 --> 00:23:50,700
+تكون مية وممكن تكون الف اه الف attributes اهالـ
+
+291
+00:23:50,700 --> 00:23:54,220
+datasets اللي لها علاقة بالصور والألف attributes
+
+292
+00:23:54,220 --> 00:23:59,520
+قليل كمان يعني هو عبارة عن بيكسلز الآن لو اتكلمت
+
+293
+00:23:59,520 --> 00:24:02,160
+على صورة مية في مية بيكسلز جدش ال resolution
+
+294
+00:24:02,160 --> 00:24:07,340
+تبعتها عالية لأ صورة صغيرة جدا صح؟ هذه لحالها عشان
+
+295
+00:24:07,340 --> 00:24:15,700
+تفردها هي عشر تلاف attributes وليش رأي كرامي؟بس،
+
+296
+00:24:15,700 --> 00:24:17,900
+هذه بس انت تتكلمنا على عشر تلاف attributes على
+
+297
+00:24:17,900 --> 00:24:22,480
+صورة صغيرة تيك تتخيلي الصورة full HD جداش عدد ال
+
+298
+00:24:22,480 --> 00:24:27,820
+attributes تبعتها طيب، الآن طبعا في حالة إذا كل
+
+299
+00:24:27,820 --> 00:24:33,420
+pixel مثلت attribute ال kennerist neighbor بدور أو
+
+300
+00:24:33,420 --> 00:24:36,900
+باعتمد على أو عرف إن الشخص اسمه similarity
+
+301
+00:24:36,900 --> 00:24:43,170
+function شو يعني similarity؟ تشابهأو تقابق بين ال
+
+302
+00:24:43,170 --> 00:24:47,650
+instances اللي موجودة سابقًا أنا كنت بقولك مين
+
+303
+00:24:47,650 --> 00:24:53,750
+أقرب الناس لفلان لو أنا إجيت قولتلك في ال one D شو
+
+304
+00:24:53,750 --> 00:25:03,130
+يعني one D؟ one attribute انا عندي عشرة وعندي خمسة
+
+305
+00:25:03,130 --> 00:25:08,890
+وعندي سبعة العشرة
+
+306
+00:25:08,890 --> 00:25:14,030
+أقرب لمين؟بناءً على إيش أنت حسبتها هي كده؟ غررت أن
+
+307
+00:25:14,030 --> 00:25:19,390
+هي أقرب على السابعة لأن الفرق بين العشرة والسبعة
+
+308
+00:25:19,390 --> 00:25:24,530
+أقل من الفرق بين العشرة والخمسة وبالتالي العشرة
+
+309
+00:25:24,530 --> 00:25:30,910
+أقرب للسبعة بين جثين العشرة والسبعة more similar
+
+310
+00:25:30,910 --> 00:25:34,470
+than العشرة والخمسة.ولّا شو رايكوا؟ يعني أقرب
+
+311
+00:25:34,470 --> 00:25:38,650
+تشابه مع بعض أكتر لكل ما جربت من الرقم بكون أنا
+
+312
+00:25:38,650 --> 00:25:43,330
+مشابه إله تمام؟يعني احنا في الآخر عملنا عشرة ناقص
+
+313
+00:25:43,330 --> 00:25:53,270
+خمسة و عشرة ناقص سبعة لو كانت ال data ست اللي أنا
+
+314
+00:25:53,270 --> 00:25:57,850
+بتكلم عليها في ال 2D عشرة
+
+315
+00:25:57,850 --> 00:26:01,850
+و اتنين خمسة
+
+316
+00:26:01,850 --> 00:26:09,670
+و تلاتة سبعة و واحد كيف بدك تشوف تفحص ال
+
+317
+00:26:09,670 --> 00:26:16,000
+similarity ما بينهمالـ X ناقص الـ X والـ Y ناقص
+
+318
+00:26:16,000 --> 00:26:22,760
+الـ Y تحت الجذر بدأت الآن تبدأ تتكلم .. انت ملاحظ
+
+319
+00:26:22,760 --> 00:26:26,980
+بتتكلم على distance في الآخر على مسافة لكن لما أنا
+
+320
+00:26:26,980 --> 00:26:35,040
+بتكلم في الـ 2D يا كريم أي نقطين في الـ 2D هيهم
+
+321
+00:26:35,040 --> 00:26:40,100
+بتكلم على distance بينهم أيش ال distance هي بتمثل؟
+
+322
+00:26:42,700 --> 00:26:46,380
+الفرق بين النقطين بس في كلام أبسط بالنسبة لما
+
+323
+00:26:46,380 --> 00:26:51,180
+الفرق بين النقطين هدول ال distance هاي بتمثل الوتر
+
+324
+00:26:51,180 --> 00:27:00,720
+في مثلث قائم الزاوية اذا شو رايكوا التغير على ال Y
+
+325
+00:27:00,720 --> 00:27:16,230
+هي Y2-Y1 الارتفاع وال base تبعتي المثلثX2 نقص X1 و
+
+326
+00:27:16,230 --> 00:27:23,110
+لا لأ المسافة اللي هان طول الضلع في المثلث قائم
+
+327
+00:27:23,110 --> 00:27:31,110
+الزاوية شو بتساوي X2 نقص X1 تربيع زائد Y2 نقص 1
+
+328
+00:27:31,110 --> 00:27:36,910
+تربيع تحت الجذر قانون في ثغورس، مصبوط؟ و بالتالي
+
+329
+00:27:36,910 --> 00:27:40,110
+انا عند ال equilibrium distance هيها
+
+330
+00:27:43,080 --> 00:27:47,060
+إذا أنا حصلت على ال distance لو كان في عنده التلات
+
+331
+00:27:47,060 --> 00:27:52,540
+نقاط معناته
+
+332
+00:27:52,540 --> 00:27:58,500
+أنا في عنده مثلث مختلف هنا ولا
+
+333
+00:27:58,500 --> 00:28:06,760
+لأ؟ وهذه المسافة اللي أنا بدي إياها إذا
+
+334
+00:28:06,760 --> 00:28:15,300
+كانت D2 أصغر من D1 فالنقطين أقرب لبعضتمام؟ طب في
+
+335
+00:28:15,300 --> 00:28:19,140
+الـ 3D عشرة
+
+336
+00:28:19,140 --> 00:28:26,760
+و اتنين و سبعة خمسة و تلاتة و واحد سبعة و واحد و
+
+337
+00:28:26,760 --> 00:28:35,920
+تلاتة شو بدك تساوي؟ نفس الفكرة، بس إيش أساوي؟ ضيف
+
+338
+00:28:35,920 --> 00:28:42,770
+تحت الجذر تربيع الفرق ما بين Z واحد و Z اتنينيعني
+
+339
+00:28:42,770 --> 00:28:45,870
+بين النقطة الأولى و النقطة التالية طب لو كان تندي
+
+340
+00:28:45,870 --> 00:28:51,110
+عشرة attributes ليش ال off؟ ماحنا عاملا متفقين إنه
+
+341
+00:28:51,110 --> 00:28:55,850
+ممكن يكون فيه عشرة attributes نفس الكلام فبنتكلم
+
+342
+00:28:55,850 --> 00:29:01,970
+احنا على summation تحت الجدر لمجموعة للفرق ما بين
+
+343
+00:29:01,970 --> 00:29:06,810
+عدد ال attributes اللي موجودة عندهان الفرق ما بين
+
+344
+00:29:06,810 --> 00:29:09,610
+قيم ال attributes اللي موجودة عندهان وبالتالي هذي
+
+345
+00:29:09,610 --> 00:29:13,550
+بنسميها ال Eclidean distanceلو كان انا فيه عندي
+
+346
+00:29:13,550 --> 00:29:21,710
+two points X وY two different points ال
+
+347
+00:29:21,710 --> 00:29:27,270
+dimensionality تبعتهم N الفرق
+
+348
+00:29:27,270 --> 00:29:35,770
+بين النقطين هدول يساوي الجدر التربيعي لمجموعة XI
+
+349
+00:29:35,770 --> 00:29:41,570
+ناقص وYI تربيع تحت الجدر والـ I بدها تساوي من واحد
+
+350
+00:29:42,250 --> 00:30:02,970
+لأن وبالتالي أنا بتتكلم فعليا على الفروقات هذا
+
+351
+00:30:02,970 --> 00:30:08,710
+ال equilibrium distance بشكل عام بما أنه أنا قاعد
+
+352
+00:30:08,710 --> 00:30:13,970
+بربع القيموبأخد الجذر، لو قيّرت الجذر من معدلتي،
+
+353
+00:30:13,970 --> 00:30:18,370
+لو قيّرت الجذر من معدلتي، شو بيصير؟ بتصير القيمة
+
+354
+00:30:18,370 --> 00:30:22,890
+أكبر، بس مش أكتر، ولا لأ، بس فعليًا القيمة الأكبر
+
+355
+00:30:22,890 --> 00:30:27,950
+تحت الجذر، هتكون هي القيمة الأكبر بعد الجذر، بس
+
+356
+00:30:27,950 --> 00:30:31,170
+الـscale اختلف، مصبوط؟ فبعض الناس إيش بتروح
+
+357
+00:30:31,170 --> 00:30:35,670
+متساوي؟ تستغنى عن الجذر التربيعي، وبما إن التربيع
+
+358
+00:30:35,670 --> 00:30:41,160
+بيعطيني قيمة موجبة،فقال لك احنا في Manhattan
+
+359
+00:30:41,160 --> 00:30:45,960
+distance قال لك ليش ما اتكلم على مجموع ال absolute
+
+360
+00:30:45,960 --> 00:30:50,060
+او الفروقات مجموع الفروقات بين النقاط لو انا اجيت
+
+361
+00:30:50,060 --> 00:30:55,080
+سألتك كريم و هاني هاني قداش الفرق بينك وبين كريم
+
+362
+00:30:55,080 --> 00:31:00,820
+في المعدل هقول 5 لأ ماسألتش قداش معدلك قداش الفرق
+
+363
+00:31:00,820 --> 00:31:06,850
+بينك وبين كريم في المعدل قال 5%لو روحت سألة كريم
+
+364
+00:31:06,850 --> 00:31:11,730
+كريم جدتش الفرق بينك وبين هاني في المعدل؟ 5% لاحظ
+
+365
+00:31:11,730 --> 00:31:14,510
+أنا مافرجتش معايا مين أعلى من التاني لأن في
+
+366
+00:31:14,510 --> 00:31:17,670
+الحالتين ال distance .. بتكلم distance و ال
+
+367
+00:31:17,670 --> 00:31:20,810
+distance لن تكون بال negative فال distance دائما
+
+368
+00:31:20,810 --> 00:31:24,430
+موجب فجالك أنا من المنهات ال distance جالك أنا
+
+369
+00:31:24,430 --> 00:31:29,010
+بروح بأشتغل باعتمد على ال absolute value للفرق ما
+
+370
+00:31:29,010 --> 00:31:33,810
+بين ال attributes values و بجمعهم وبهيك حصلت على
+
+371
+00:31:33,810 --> 00:31:39,050
+نفس ال conceptsبس فعليا .. فعليا بتفرق ال distance
+
+372
+00:31:39,050 --> 00:31:44,910
+الرسمة هاي بتوضح الفرق الفعلي ما بين ال Manhattan
+
+373
+00:31:44,910 --> 00:31:51,330
+و ال Eclidean ال Eclidean طبعا هاي النقطين X1 و X2
+
+374
+00:31:51,330 --> 00:31:59,510
+2 و 8 .. 3 أو 6 و 3 رسمناهم الآن قلنا الخط الأخضر
+
+375
+00:31:59,510 --> 00:32:05,400
+هذا هو عبارة عن ال Eclidean distanceبينما الـ
+
+376
+00:32:05,400 --> 00:32:08,860
+Manhattan في الأكثر من مسار فكرة الـ Manhattan
+
+377
+00:32:08,860 --> 00:32:12,880
+distance أنه دائما أنا بمشي في خطوط مستقيمة
+
+378
+00:32:12,880 --> 00:32:18,020
+متعامدة على بعضها بمشي على خطوط متعامدة بينما ال
+
+379
+00:32:18,020 --> 00:32:23,380
+Euclidean أخدت القطر، مصبوط؟ الآن الخطوط .. الخط
+
+380
+00:32:23,380 --> 00:32:29,320
+الأحمر هذا هو عبارة عن مثل الـ Manhattan distance
+
+381
+00:32:29,320 --> 00:32:35,850
+الخط الأصفر هذا كذلكعبّر عن الـ Manhattan distance
+
+382
+00:32:35,850 --> 00:32:41,430
+و نفس الـ value لو انت حسبت واحدة اتنين تلاتة
+
+383
+00:32:41,430 --> 00:32:47,710
+اربعة خمسة و واحدة اتنين تلاتة اربعة تسعة واحدة
+
+384
+00:32:47,710 --> 00:32:52,710
+اتنين تلاتة اربعة خمسة ستة سبعة تمانية تسعة ك
+
+385
+00:32:52,710 --> 00:32:56,970
+units فال Manhattan distance هي فعلياً هتلاقي فيه
+
+386
+00:32:56,970 --> 00:33:01,800
+implementation يستحيلتجي تتكلم على انك تطبق الـ
+
+387
+00:33:01,800 --> 00:33:05,720
+Euclidean distance مثال جالك سيارة بدها تتحرك ما
+
+388
+00:33:05,720 --> 00:33:09,760
+بين النقطين هدول ضمن مدينة هي خلقتها تقول والله
+
+389
+00:33:09,760 --> 00:33:14,160
+انا بدأ أخش من البيوت اللي هنا مافيش مجال السيارة
+
+390
+00:33:14,160 --> 00:33:16,860
+فيها لها طرق مواضحة بدها تنشي عليها وبالتالي الـ
+
+391
+00:33:16,860 --> 00:33:20,440
+Manhattan distance هي الأنسب بالنسبة لإلك في
+
+392
+00:33:20,440 --> 00:33:24,680
+التعامل الآن
+
+393
+00:33:24,680 --> 00:33:26,860
+ايش المطلوب عشان اطبق الـ Canary Snapper
+
+394
+00:33:31,350 --> 00:33:37,990
+أولاً لازم تحدد ال parameter عدد ال K كم جار اللي
+
+395
+00:33:37,990 --> 00:33:44,670
+بتتكلم عليهم تلاتة، خمسة، سبعة، تمانية، عشرين،
+
+396
+00:33:44,670 --> 00:33:51,510
+سبعة وعشرين لازم تحددهم انت calculate
+
+397
+00:33:51,510 --> 00:33:54,410
+the distance بغض النظر عن ال Manhattan ولا ال
+
+398
+00:33:54,410 --> 00:33:59,590
+Includionبين النقطة الـ query instance اللي هي
+
+399
+00:33:59,590 --> 00:34:03,230
+النقطة اللي انا بدي اصنفها وبين كل النقاط اللي
+
+400
+00:34:03,230 --> 00:34:10,550
+موجودة عندى رتب ال data وهي النقطة رقم تلاتة يا
+
+401
+00:34:10,550 --> 00:34:14,510
+شباب رتب ال data .. رتب ال data مش أساس بالنسبة
+
+402
+00:34:14,510 --> 00:34:19,190
+ليه؟ ليش؟ لأنه في كل بساطة لو كان هم تلت نقاط طب
+
+403
+00:34:19,190 --> 00:34:22,130
+انا بقدر بعناية بميز التلت نقاط و بشوف بعرف مين
+
+404
+00:34:22,130 --> 00:34:25,790
+الأقرب منهم وبقدر اعمل بينهم votingلو كان .. لكن
+
+405
+00:34:25,790 --> 00:34:29,770
+لو كان عدد الـK الـK اللي أنا بستخدمه كبير خمسين
+
+406
+00:34:29,770 --> 00:34:35,530
+.. خمسين مثلا صعب إن أنا أقدر أشوف الخمسين ورا بعض
+
+407
+00:34:35,530 --> 00:34:40,250
+بدون ما أرتبهم ولا لأ؟ فعشان هيك بيجي الترتيب كويس
+
+408
+00:34:40,250 --> 00:34:44,710
+أو مناسب لما بيكون عدد الـK تباعت كبير عشرة و أطلع
+
+409
+00:34:44,710 --> 00:34:48,370
+أقولك خمسة و أطلع خصوصا لما كان .. لما تكون النقاط
+
+410
+00:34:48,370 --> 00:34:51,670
+متباعدة ال data set فيها ألف recordوالـ Most
+
+411
+00:34:51,670 --> 00:34:57,330
+Closest Point كانت الـ Point رقم 100 و الـ Point
+
+412
+00:34:57,330 --> 00:35:04,410
+رقم 170 و الـ Point 370 و الـ Point 470، ضال عندي
+
+413
+00:35:04,410 --> 00:35:09,690
+Point و الـ Point 950، هاي خمس نقاط كيف بدى أشوفهم
+
+414
+00:35:09,690 --> 00:35:13,530
+هدول؟ اللي هضطر أروح أكتبهم على الجانب عشان أعرف
+
+415
+00:35:13,530 --> 00:35:17,150
+إيش ال label تبعتهم، هذا الكلام هنطبقه فعليا أنا
+
+416
+00:35:17,150 --> 00:35:22,680
+شكل عملي لكن لما بيعملني Sorting لهمبصير قادر انا
+
+417
+00:35:22,680 --> 00:35:26,780
+اشوف وين بشوفهم كلهم ورا بعض عشان اتسهل علي عملية
+
+418
+00:35:26,780 --> 00:35:33,120
+ال voting بعد هيك select ال key nearest instances
+
+419
+00:35:33,120 --> 00:35:37,320
+بنقل على ال value اللي حطيها في واحد وفي الآخر
+
+420
+00:35:37,320 --> 00:35:43,380
+بعمل تصويت ما بينهم وبحسب ال majority بحسب ال
+
+421
+00:35:43,380 --> 00:35:47,520
+majority ال example اللي موجود عندي هان انت بقى
+
+422
+00:35:47,520 --> 00:35:48,000
+تشتغله
+
+423
+00:35:51,630 --> 00:35:56,590
+كل تلاتة في جنب بعض اللي هم ورقة واحدة و أسميكوا
+
+424
+00:35:56,590 --> 00:35:59,870
+بدها تنحط على جافة الورقة انتوا تلاتة مع بعض غير
+
+425
+00:35:59,870 --> 00:36:06,210
+شباب اه روح هان تلاتة اهب رجعلي لورا هنا انت لغيت
+
+426
+00:36:06,210 --> 00:36:11,530
+مجموعة ارجع عندهم يلا تشتغلوا
+
+427
+00:36:11,530 --> 00:36:14,090
+اتنين اتنين اتنين اتنين مافيش مشكلة اشتغلوا اتنين
+
+428
+00:36:14,090 --> 00:36:19,450
+اتنين انت لحالك مافيش يروح عنده .. هو عنده كرسي
+
+429
+00:36:19,450 --> 00:36:25,780
+يروح على كرسي اللي عندهعلى جافة الورجة أسميكم على
+
+430
+00:36:25,780 --> 00:36:29,880
+جافة الورجة يا شباب أسميكم كمجموع على جافة الورجة
+
+431
+00:36:29,880 --> 00:36:35,720
+الشغل التاني ابدأ بتصنيف الآن هي عندي الـ new
+
+432
+00:36:35,720 --> 00:36:40,180
+instance وهي ال data set ال data set فيها five
+
+433
+00:36:40,180 --> 00:36:46,120
+instances يا كريم وفي عندي الآن instance x equal 3
+
+434
+00:36:46,120 --> 00:36:53,850
+و x2 equal 7 قل لي .. قل ليالان باعتمادك على اي
+
+435
+00:36:53,850 --> 00:36:57,090
+distance على مانهاتين على ال Euclidean تنتهي حدك
+
+436
+00:36:57,090 --> 00:37:00,350
+نفس النتيجة اشتغل على ال Euclidean distance تمام؟
+
+437
+00:37:00,350 --> 00:37:07,710
+ايش ال class تبع ال instance هاي؟ الان بديك تشتغل
+
+438
+00:37:07,710 --> 00:37:11,770
+على ال canaries equal واحد وعلى ال canaries equal
+
+439
+00:37:11,770 --> 00:37:20,830
+تلاتة شو من هما التنتين؟ ود المشكلة في الموضوعأنا
+
+440
+00:37:20,830 --> 00:37:24,150
+بقولك اشتغل مرة أول لقطة اشتغل احسب ال distances
+
+441
+00:37:24,150 --> 00:37:27,010
+على السريع يالا القانون
+
+442
+00:38:02,420 --> 00:38:08,360
+جلط وين يا أخو؟ أنا مالي، هي القانون
+
+443
+00:38:27,330 --> 00:38:29,610
+الوقت كالسيف
+
+444
+00:38:40,600 --> 00:38:53,080
+دقيقة .. دقيقة المسألة هتتنحل ..
+
+445
+00:39:00,120 --> 00:39:21,660
+إيه؟ إيه؟ إيه؟
+
+446
+00:39:30,670 --> 00:39:33,870
+بتمنى بس على الناس المبتسمة انها تكون فعليا مبتسمة
+
+447
+00:39:33,870 --> 00:39:38,690
+لإنها عارفة حل مش لإن مش مبتسمة لإنها إيش مش فاهمة
+
+448
+00:39:38,690 --> 00:39:46,610
+حاجة نعم كمل لحالك احنا شرحنا ال algorithm
+
+449
+00:40:14,010 --> 00:40:16,410
+أحنا نسأل على شخصين اللي في العالم اللي ممكن
+
+450
+00:40:16,410 --> 00:40:20,710
+يتعامل معه بالتعامل بالتعامل بالتعامل بالتعامل
+
+451
+00:40:20,710 --> 00:40:21,210
+بالدرس
+
+452
+00:40:25,680 --> 00:40:29,820
+اكتب .. اكتب .. اكتب الجواب ال class تبعت ال
+
+453
+00:40:29,820 --> 00:40:36,160
+instance هي على الورقة في حالة كانت one K K equal
+
+454
+00:40:36,160 --> 00:40:42,680
+one و في حالة ال K equal تلاتة حطوا
+
+455
+00:40:42,680 --> 00:40:47,180
+جواب ماقلنا اعمل مجارتي حدد ال .. ال .. can
+
+456
+00:40:47,180 --> 00:40:50,600
+nearest neighbor و اعمل voting ما بينهم في حالة
+
+457
+00:40:50,600 --> 00:40:53,200
+الواحد مافيش voting هو في حالة التلاتة بقى تعمل
+
+458
+00:40:53,200 --> 00:41:00,320
+votingيلا شباب لما الورق اديني إياه خلصت الخمس
+
+459
+00:41:00,320 --> 00:41:03,380
+دقايق مش دقيقة يا أستاذ وحورجيك إنه هذا بينحل في
+
+460
+00:41:03,380 --> 00:41:12,800
+أقل من دقيقة يلا شباب اديني الورق الله يسعدك اديني
+
+461
+00:41:12,800 --> 00:41:21,700
+الورق يلا شباب واحد
+
+462
+00:41:33,590 --> 00:41:44,490
+كنين ماشي الورق يا شباب إذا
+
+463
+00:41:44,490 --> 00:41:46,870
+اللي وراك لسه ع بحل سيبك منه اديه الورق لجدامك و
+
+464
+00:41:46,870 --> 00:41:48,950
+تاخدش منه خليه يجمهو من مكانه
+
+465
+00:41:53,690 --> 00:42:08,930
+ما تاخدش من حد من ورا ايش
+
+466
+00:42:08,930 --> 00:42:13,610
+المفروض يسوي فيهم هادول؟
+
+467
+00:42:13,610 --> 00:42:17,350
+خلصت؟
+
+468
+00:42:30,080 --> 00:42:35,900
+طيب طيب يا شباب خلاصنا من الصوت خلاصنا تعالى نشوف
+
+469
+00:42:35,900 --> 00:42:39,500
+جداش فعليا انت تلت عقول او اربعة اشتغلت احيانا او
+
+470
+00:42:39,500 --> 00:42:42,400
+اتنين في موضوع حل مسألة زي هيك وهي القوانين
+
+471
+00:42:42,400 --> 00:42:48,880
+التانية قدامك الآن تلاتة ناقص سبعةأربعة تربيع زائد
+
+472
+00:42:48,880 --> 00:42:52,660
+صفر تربيع ال instance الأولى وهذه كانت ال
+
+473
+00:42:52,660 --> 00:43:01,000
+classification تبعتها bad الآن أربعة تربيع زائد
+
+474
+00:43:01,000 --> 00:43:09,240
+تلاتة تربيع وبرضه هذه كانت bad الآن البعديها صفر
+
+475
+00:43:09,240 --> 00:43:14,820
+تربيع زائد واحد تربيع وهذه good ال instance
+
+476
+00:43:14,820 --> 00:43:23,680
+الأخيرةاتنين تربيع زائد تلاتة عفوا تلاتة عفوا
+
+477
+00:43:23,680 --> 00:43:27,440
+تربيع سبعة
+
+478
+00:43:27,440 --> 00:43:37,600
+ناقص أربعة تلاتة تربيع وهذه good أقصر
+
+479
+00:43:37,600 --> 00:43:44,500
+مسافة اللي بعديها اللي بعديها
+
+480
+00:43:47,000 --> 00:43:54,760
+إذا كانت الـ K equal واحد فهي Good إذا كانت الـ K
+
+481
+00:43:54,760 --> 00:44:00,700
+equal تلاتة بعمل voting بين التلاتة الأصغر تنتين
+
+482
+00:44:00,700 --> 00:44:04,680
+Good و واحدة Bad حسب المجارية باخد الـ Good فكل
+
+483
+00:44:04,680 --> 00:44:09,080
+الحالتين كانت عندك Good Eclidean distance أنا
+
+484
+00:44:09,080 --> 00:44:14,250
+اعتمدت يا دكتور ماطبقتش الترديعمافيش مشكلة،
+
+485
+00:44:14,250 --> 00:44:16,330
+معامالنا ذاكرين إنه جماعة الخير بما أنه التربيه
+
+486
+00:44:16,330 --> 00:44:19,450
+يقعد يتطبق نشتغل مع الكل فأنا ممكن أنا أشتغل بسرعة
+
+487
+00:44:19,450 --> 00:44:22,770
+بدون مقلخم حالي وأستخدم قالة الجوال لأول مرة بدي
+
+488
+00:44:22,770 --> 00:44:28,230
+أستخدمها على ال include على المنهاتين الناس اللي
+
+489
+00:44:28,230 --> 00:44:35,090
+اشتغلت على المنهاتين مااختلفتش كتير الآن تلاتة
+
+490
+00:44:35,090 --> 00:44:40,450
+أربعة زائد صفر وأربعة
+
+491
+00:44:40,450 --> 00:44:52,940
+زائد تلاتةو صفر زائد تلاتة و اتنين زائد تلاتة ال
+
+492
+00:44:52,940 --> 00:45:01,500
+shortest واحد اتنين تلاتة
+
+493
+00:45:01,500 --> 00:45:10,480
+good في حالة ال K equal one وين خمسة
+
+494
+00:45:13,140 --> 00:45:19,040
+ترتيب اختلف اوكي ماشي الحال اتنين تلاتة تمام
+
+495
+00:45:19,040 --> 00:45:26,500
+تنتين جود واحدة bad جود
+
+496
+00:45:26,500 --> 00:45:34,060
+فهي ال label تمام الشباب الله
+
+497
+00:45:34,060 --> 00:45:34,600
+يعطيك العافية
+
+498
+00:45:41,260 --> 00:45:55,340
+أصارت عندك X2 المشكلة جزاعل
+
+499
+00:45:55,340 --> 00:45:58,800
+استاد انا حليت مع K equal تلاتة هاي ال query اللي
+
+500
+00:45:58,800 --> 00:46:01,760
+بدي اعمل ال instance تلاتة سبعة هي اللي بدي قيمها
+
+501
+00:46:01,760 --> 00:46:07,800
+فروحت حسبت المسافة بينها وبين كل نقطة تربيع
+
+502
+00:46:10,590 --> 00:46:17,190
+الان رتبت تبع لل distance من الأصغر للأكبر
+
+503
+00:46:17,190 --> 00:46:20,630
+وبالتالي الأولى هي ال most closest وراها التانية و
+
+504
+00:46:20,630 --> 00:46:24,870
+التالتة و الرابعة الرابعة هي the farthest one الآن
+
+505
+00:46:24,870 --> 00:46:29,430
+إذا كانت ال K تبعتي equal K equal واحد فالأولى
+
+506
+00:46:29,430 --> 00:46:35,690
+كانت ال K تبعتي equal تلاتة هي التلاتة هعمل بينهم
+
+507
+00:46:35,690 --> 00:46:40,780
+voting الآن فهتكون الناتج تبعتيال class تبعت ال
+
+508
+00:46:40,780 --> 00:46:50,580
+instance هذي good اجرب مسافة نعم سبعة نقص سبعة و
+
+509
+00:46:50,580 --> 00:46:53,380
+انا السبعة نقص سبعة بس السبعة نقص سبعة مش لحالها
+
+510
+00:46:53,380 --> 00:46:59,240
+في عندك هنا سبعة نقص ثلاثة لأن هذا distance في ال
+
+511
+00:46:59,240 --> 00:47:05,180
+2D في ال 2D خط بس الخط هذا جاي معاك خط أفق أو خط
+
+512
+00:47:05,180 --> 00:47:06,780
+عمود لما يكون قيمته متساويات
+
+513
+00:47:09,850 --> 00:47:14,810
+الان لو طلعوا النساء في كل مقالي نسبتها طبعا هي
+
+514
+00:47:14,810 --> 00:47:18,470
+بعض ضد وبعض نفس ال .. اه اه الان هذه مشكلة زي ما
+
+515
+00:47:18,470 --> 00:47:22,450
+قلتلك انا سابقا مشكلة ال voting انك انت بدك تحاول
+
+516
+00:47:22,450 --> 00:47:27,030
+تسعى انك تلاقي value افضل كي تتناسب مع العملية
+
+517
+00:47:27,030 --> 00:47:31,050
+الان بكل الأحوال لو طلعوا فعليا فعليا عندي two
+
+518
+00:47:31,050 --> 00:47:35,750
+classes اللي هم نفس ال level نفس ال distanceحطيته
+
+519
+00:47:35,750 --> 00:47:39,170
+في ايه؟ حطيته في دي؟ نفس النتيجة في الآخر انت
+
+520
+00:47:39,170 --> 00:47:42,510
+حصلت، تمام؟ بس في الآخر، هي اللي موجود، هي ال
+
+521
+00:47:42,510 --> 00:47:45,710
+algorithm ماحدش جالك أن ال algorithm هاد perfect،
+
+522
+00:47:45,710 --> 00:47:50,390
+one hundred percent أنا قدمته لسبب واحد فقط أنه
+
+523
+00:47:50,390 --> 00:47:56,070
+أسهل algorithm ممكن تستوعبه أنت الآن، تمام؟ أسهل
+
+524
+00:47:56,070 --> 00:48:03,520
+algorithm ببدأش يخل دماغك يشتغل معانا، ممتاز؟هذه
+
+525
+00:48:03,520 --> 00:48:12,320
+ال data ال 6 تبعتنا .. بدي أرجع لهيك شوية X
+
+526
+00:48:12,320 --> 00:48:23,960
+تلاتة true .. false .. false .. true أنا
+
+527
+00:48:23,960 --> 00:48:29,040
+سابقا لما كنت بحسب distance أو ping و cell لما صرت
+
+528
+00:48:29,040 --> 00:48:34,150
+back كنت بعكس ال similarity as a distanceتمام ال
+
+529
+00:48:34,150 --> 00:48:38,070
+shortest distance ال most similar والعكس صحيح كانت
+
+530
+00:48:38,070 --> 00:48:42,550
+ال numeric value الان انا فيه عندى boolean value
+
+531
+00:48:42,550 --> 00:48:47,430
+شو بدي اسوي فيها صفر و واحد احولها صفر و واحد يعني
+
+532
+00:48:47,430 --> 00:48:53,990
+ارجع اعمل preprocessing صفر و واحد حل بس انا رجعني
+
+533
+00:48:53,990 --> 00:49:00,550
+كتير لورا مضطرله تمام طيب لو كان عندى كمان
+
+534
+00:49:04,990 --> 00:49:13,930
+X3 أو X4 بمثل الـ Marital Status Single Divorced
+
+535
+00:49:13,930 --> 00:49:22,910
+Woodward Married مقولج، بعيد عنك أرمل Woodward
+
+536
+00:49:22,910 --> 00:49:27,190
+أرمل Divorced مقولق مش هاي الحالات الاجتماعية
+
+537
+00:49:27,190 --> 00:49:36,660
+الأربعة على شخص أعزب متزوجwidow ..widow ..widow
+
+538
+00:49:36,660 --> 00:49:42,360
+..widow ..widow ..widow ..widow ..widow ..widow
+
+539
+00:49:42,360 --> 00:49:47,400
+..widow ..widow ..widow ..widow ..widow ..widow
+
+540
+00:49:47,400 --> 00:49:47,980
+..widow ..widow ..widow ..widow ..widow ..widow
+
+541
+00:49:47,980 --> 00:49:51,640
+..widow ..widow ..widow ..widow ..widow ..widow
+
+542
+00:49:51,640 --> 00:49:51,760
+..widow ..widow ..widow ..widow ..widow ..widow
+
+543
+00:49:51,760 --> 00:49:57,740
+..widow ..widow ..widow ..widow ..widow ..widow
+
+544
+00:49:57,740 --> 00:49:57,780
+..widow ..widow ..widow ..widow ..widow ..widow
+
+545
+00:49:57,780 --> 00:49:59,800
+..widow ..widow ..widow ..widow ..widow ..widow
+
+546
+00:50:03,060 --> 00:50:12,200
+تقدرش تحولها ايوة دون إبداعات نسمع منكم وبالتالي
+
+547
+00:50:12,200 --> 00:50:15,140
+انت حقيت .. يعني لو لو هي للأعزب يعني المفروض كون
+
+548
+00:50:15,140 --> 00:50:20,780
+قيمة الأعزب أكبر غير صحيح نعم نحسب ال X و X1 و X2
+
+549
+00:50:20,780 --> 00:50:24,960
+و X3 و X4 و X5 و X6 و X7 و X8 و X9 و X10 و X11 و
+
+550
+00:50:24,960 --> 00:50:27,160
+X12 و X12 و X13 و X14 و X14 و X15 و X16 و X17 و
+
+551
+00:50:27,160 --> 00:50:28,820
+X18 و X19 و X20 و X21 و X22 و X22 و X22 و X22 و
+
+552
+00:50:28,820 --> 00:50:28,940
+X22 و X22 و X22 و X22 و X22 و X22 و X22 و X22 و
+
+553
+00:50:28,940 --> 00:50:31,370
+X22 و X22 و X22 و X22 و X22 و X22لما يكون في عندي
+
+554
+00:50:31,370 --> 00:50:36,130
+nominal attribute او Boolean attribute ال distance
+
+555
+00:50:36,130 --> 00:50:41,450
+هتزيد بصفر او بواحد بناء على ايش هل ال value هذي
+
+556
+00:50:41,450 --> 00:50:47,970
+equal او not equal true يعني ال instance اللي انا
+
+557
+00:50:47,970 --> 00:50:55,910
+بدي اقرأها الان كانت هنا عندي تلاتة و سبعة و false
+
+558
+00:50:55,910 --> 00:50:58,530
+و D
+
+559
+00:51:01,610 --> 00:51:09,330
+الان المسافة اللي بحسبها هي ل
+
+560
+00:51:09,330 --> 00:51:17,950
+ال instance الأولى الان سبعة ناقص سبعة تربيع زائد
+
+561
+00:51:17,950 --> 00:51:26,530
+سبعة ناقص تلاتة تربيع زائد واحد
+
+562
+00:51:26,530 --> 00:51:34,590
+في حالة التساوي صفر في حالة الاختلافصفر زائد صفر
+
+563
+00:51:34,590 --> 00:51:40,630
+في الحالة التانية مع ال instance التانية أربعة
+
+564
+00:51:40,630 --> 00:51:48,890
+ناقص سبعة تربيع زائد سبعة ناقص تلاتة تربيع زائد
+
+565
+00:51:48,890 --> 00:52:01,390
+false و false واحد دي و دي واحدوبالتالي صار موضوع
+
+566
+00:52:01,390 --> 00:52:03,910
+الـ String اللي هندي أو لو كانت الـ Nominal Data
+
+567
+00:52:03,910 --> 00:52:07,990
+أو Boolean Data مافيش داعي أرجع لل preprocessing
+
+568
+00:52:07,990 --> 00:52:13,170
+مافيش داعي أرجع لل preprocessing بالعكس أنا ممكن
+
+569
+00:52:13,170 --> 00:52:19,050
+أكمل بكل بساطة بتصير الآن similar or dissimilar
+
+570
+00:52:19,050 --> 00:52:24,530
+لأنه فعلاً هل هي نفس القيمة ولا قيمة مختلفة؟طبعا؟
+
+571
+00:52:24,530 --> 00:52:28,550
+قيمة و لا قيمة مختلفة لكن لأ أخفيكوا إن هاي في
+
+572
+00:52:28,550 --> 00:52:33,370
+برضه فيها مشكلة
+
+573
+00:52:33,370 --> 00:52:38,650
+رحلة
+
+574
+00:52:38,650 --> 00:52:47,150
+شوية لو كان في عندى two values بالشكل هذا أحمد و
+
+575
+00:52:47,150 --> 00:52:53,250
+أحمد واحدة بتبدأ بcapital واحدة smallالمفروض تكون
+
+576
+00:52:53,250 --> 00:52:56,490
+انت حليتها أنا جيبتك كمثال كاسم بالاسم الآن يا
+
+577
+00:52:56,490 --> 00:53:08,030
+سيدي بلاش نتكلم على الوظيفة ال job manager الان
+
+578
+00:53:08,030 --> 00:53:12,810
+هادي وهادي في ال semantic واحدة لكن على حسب
+
+579
+00:53:12,810 --> 00:53:17,010
+القانون اللي أنا بقوله إذا متساويات بياخدوا واحد
+
+580
+00:53:17,010 --> 00:53:19,830
+مختلفات بياخدوا صفر هدولة من الناس اللي هتاخد صفر
+
+581
+00:53:22,450 --> 00:53:25,770
+ليش؟ لأن ال case .. بدي أدخل ال ignore case في
+
+582
+00:53:25,770 --> 00:53:34,610
+الموضوع ابتجيني قضية أخطر من هيك واحد
+
+583
+00:53:34,610 --> 00:53:38,950
+كتب بال A و واحد كتب بال E مش هذا اللي احنا
+
+584
+00:53:38,950 --> 00:53:44,450
+اتسمناها سابقا ignore syntax حلتك من ال capital
+
+585
+00:53:44,450 --> 00:53:48,290
+letter و ال capital letter و ال small letter بس ما
+
+586
+00:53:48,290 --> 00:53:56,190
+حلت ال cash ان هذه Aوها دي إيه؟ هتظل في عندي
+
+587
+00:53:56,190 --> 00:53:59,690
+استثناءات وإن ال data فيها .. يعني مش ضروري كل شيء
+
+588
+00:53:59,690 --> 00:54:03,890
+ييجي .. يعني أنا بهمش أنا بحاول أظبط ال data تمشي
+
+589
+00:54:03,890 --> 00:54:08,650
+مع القوانين بحاولش أكيف القوانين تمشي مع ال data
+
+590
+00:54:08,650 --> 00:54:11,690
+وبالتالي هي القانون اللي موجودة عندي هنا في حالة
+
+591
+00:54:11,690 --> 00:54:17,110
+ال nominal data equal values zero يعني ال distance
+
+592
+00:54:17,110 --> 00:54:21,830
+بينهم zero ليش؟ لأنهم متطابقيننفس الشيء مافيش فرق
+
+593
+00:54:21,830 --> 00:54:25,730
+بقى بينهم different values بغض النظر إيش كانوا
+
+594
+00:54:25,730 --> 00:54:30,870
+الفرق بينهم واحد و لما أنا بضيف الفرق بينهم لما
+
+595
+00:54:30,870 --> 00:54:37,890
+أقول قيمتهم مختلفات واحد متساويات Zero عكست في
+
+596
+00:54:37,890 --> 00:54:45,090
+المثال هذا true
+
+597
+00:54:45,090 --> 00:54:54,230
+و false واحد اختلاف اختلافابعدت ابعدت كويس انكم
+
+598
+00:54:54,230 --> 00:54:56,470
+انتبهتوا انا بتكلم باتكلم ببتكلم ببتكلم ببتكلم
+
+599
+00:54:56,470 --> 00:54:56,730
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+600
+00:54:56,730 --> 00:54:57,570
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+601
+00:54:57,570 --> 00:54:58,070
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+602
+00:54:58,070 --> 00:55:01,530
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+603
+00:55:01,530 --> 00:55:14,790
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+604
+00:55:14,790 --> 00:55:18,130
+ببتكلم
+
+605
+00:55:18,130 --> 00:55:25,030
+ببتصفر و صفر بين جوسين بين جوسين ان ال instance
+
+606
+00:55:25,030 --> 00:55:30,810
+الأولى من ناحية ال text من
+
+607
+00:55:30,810 --> 00:55:39,250
+ناحية ال text أبعد عادة ال instance من التانية
+
+608
+00:55:39,250 --> 00:55:43,050
+أبعد يعني صار في واحد صار في مسافة تنجمع للقانون
+
+609
+00:55:43,050 --> 00:55:45,990
+اللي عندي نعم
+
+610
+00:55:54,750 --> 00:55:57,730
+جدّيش عدد ال values ال different values اللي عندك
+
+611
+00:55:57,730 --> 00:56:05,330
+و الحالات التانية الوظائف ال occupation جدّيش
+
+612
+00:56:05,330 --> 00:56:10,610
+عدد الوظائف ايه و اديني مثال فرضا عشرة مين قال مين
+
+613
+00:56:10,610 --> 00:56:14,970
+قال ان ال manager بيختلف عن الموظف العادي بتسعة
+
+614
+00:56:14,970 --> 00:56:16,390
+درجات او بعشرة درجات
+
+615
+00:56:18,950 --> 00:56:26,210
+أنا قاعد باسألك مين اللي جال يعني
+
+616
+00:56:26,210 --> 00:56:29,690
+انت فعليا بدك تروح تعمل attribute جديد بناء على ال
+
+617
+00:56:29,690 --> 00:56:33,970
+data اللي عندك بنجو سين مؤمن جاعد ب mail انه خلاص
+
+618
+00:56:33,970 --> 00:56:39,330
+بما انه انا بدي استخدم ال algorithm كل ال data
+
+619
+00:56:39,330 --> 00:56:44,850
+تصير ال data نمريكية بس بدي ارجع اقولك ان ال way
+
+620
+00:56:44,850 --> 00:56:51,080
+اللي انت كمان بتتكلم عليههيظل subjective انت هتصير
+
+621
+00:56:51,080 --> 00:56:57,420
+تقرب و تبعد في الموظفين حسب حسب
+
+622
+00:56:57,420 --> 00:57:00,520
+ال character تبعتك حسب الشخص اللي عمله بيحلل و ده
+
+623
+00:57:00,520 --> 00:57:04,920
+ممكن يختلف لأنه في الآخر مافيش قانون واضح يقول
+
+624
+00:57:04,920 --> 00:57:08,860
+الفرق بين كده و كده لكن لو على سبيل المثال احنا
+
+625
+00:57:08,860 --> 00:57:13,740
+كنا بنتكلم على ال salary gradeأو الـ Grade تبع
+
+626
+00:57:13,740 --> 00:57:17,600
+الموظف آه، ممكن أعكس هذه بالـ Basic Salary تبع كل
+
+627
+00:57:17,600 --> 00:57:21,700
+Grade و هيك .. هيك بتكون الأمور سهلة تمام؟ لكن في
+
+628
+00:57:21,700 --> 00:57:26,280
+حالة زي هذه زي ما كتبت و قلت انتهان True و False
+
+629
+00:57:26,280 --> 00:57:29,280
+صفر و واحد، ماقلت الـ Cash، لأ، قلتلك صح لأنه
+
+630
+00:57:29,280 --> 00:57:32,180
+منطقية و لو كانت الـ Gender Male و Female، هقولك
+
+631
+00:57:32,180 --> 00:57:34,780
+صح و هذا الكلام هيتطابق مع الكلام الأساسي اللي
+
+632
+00:57:34,780 --> 00:57:39,500
+احنا بنقوله قاعدين بس في الحالة هذه انت روح
+
+633
+00:57:39,500 --> 00:57:46,390
+تعتبرهم Ordinal Dataمرتبط مصبوط و كل ما زادت
+
+634
+00:57:46,390 --> 00:57:51,770
+الرتبة زاد الفرق مش دايما هذا الكلام متوفر عندي
+
+635
+00:57:51,770 --> 00:57:56,330
+دكتور تفضلي على ال regression او ال .. مش بس على
+
+636
+00:57:56,330 --> 00:57:58,130
+ال .. مالهاش تدخل بال regression هاد ال
+
+637
+00:57:58,130 --> 00:58:00,890
+classification algorithm ال classification
+
+638
+00:58:00,890 --> 00:58:04,810
+algorithm طيب هد زي تقريبا اللي قلت عشان تفتح
+
+639
+00:58:04,810 --> 00:58:07,230
+الرواتب المليون
+
+640
+00:58:11,370 --> 00:58:17,610
+هي تعالى نشوف المثال
+
+641
+00:58:17,610 --> 00:58:22,230
+هذا الان عندي data set اللي علاقة بالاتصالات
+
+642
+00:58:26,670 --> 00:58:31,190
+المستخدم رقم المستخدم عند ال call بال duration
+
+643
+00:58:31,190 --> 00:58:42,130
+الاتصال بالدقائق 25000 40000 55000 27000 53000 ال
+
+644
+00:58:42,130 --> 00:58:51,940
+SMS count 24 27 32 25 30الـ Data Counter الـ
+
+645
+00:58:51,940 --> 00:58:56,520
+Mobile Data بالميجا بايت أربعة خمسة سبعة ستة خمسة
+
+646
+00:58:56,520 --> 00:59:01,780
+الآن لو أنا بدأ أروح أطبق ال distance الـ Numeric
+
+647
+00:59:01,780 --> 00:59:07,620
+Data ولا لأ؟ لو بدأ أطبق ال distance أنا بقولك
+
+648
+00:59:07,620 --> 00:59:09,900
+حرام ما تغلبش حالك كفاية تعتمد على ال attribute
+
+649
+00:59:09,900 --> 00:59:14,600
+الأول ليش؟
+
+650
+00:59:14,600 --> 00:59:19,220
+لأن الفرق ما بين القيم كبير جداوبالتالي هو صاحب
+
+651
+00:59:19,220 --> 00:59:23,800
+القرار في ال distance و لا شو رايكوا؟ أو بين
+
+652
+00:59:23,800 --> 00:59:30,880
+جوسين؟ تأثير ال attribute هذا تأثيره أكبر مئات
+
+653
+00:59:30,880 --> 00:59:36,580
+المرات من ال attribute التاني والتالت على مين؟ على
+
+654
+00:59:36,580 --> 00:59:41,640
+ال distance أنت تخيل ال instance اللي أنا بدي
+
+655
+00:59:41,640 --> 00:59:45,980
+أفحصها القيم اللي فيها ألفين
+
+656
+00:59:53,040 --> 00:59:59,260
+17 تلاتة مع
+
+657
+00:59:59,260 --> 01:00:03,380
+ال distance الأولى فقط مع ال distance الأولى خمس
+
+658
+01:00:03,380 --> 01:00:07,840
+.. خمس آلاف تربيع .. أنا ألفين؟ هذا بدك تقول عشرين
+
+659
+01:00:07,840 --> 01:00:17,460
+ألف عشرين ألف خمس آلاف تربيع زائد سبعة تربيعزائد
+
+660
+01:00:17,460 --> 01:00:20,320
+واحد تربيع فعلياً ما لهو مش قيمة في مقابل الخمس
+
+661
+01:00:20,320 --> 01:00:24,200
+تلاف تربيع ولا لأ؟ يعني هو كأنه ال value اللي طلعت
+
+662
+01:00:24,200 --> 01:00:29,000
+عندي هي عبارة عن جزر الخمس تلاف والباقي كله ولا
+
+663
+01:00:29,000 --> 01:00:33,140
+حاجة ماليش معنى كتير عندي أو تأثيره قليل جداً بس
+
+664
+01:00:33,140 --> 01:00:38,860
+هل الكلام هذا صح؟ هل فعليا ال cold duration هو ال
+
+665
+01:00:38,860 --> 01:00:43,180
+dominant في ال distance؟ لأ هو لاحظ أن ال
+
+666
+01:00:43,180 --> 01:00:47,830
+attribute كلهالقيم تبعته عالية ايش الحل بييجي
+
+667
+01:00:47,830 --> 01:00:51,210
+موضوع ال scaling هو اللي بيحل القضية وبحطهم كلهم
+
+668
+01:00:51,210 --> 01:00:56,510
+بنفس الأوزان في موضوع ال distance تخيل انا بدرح
+
+669
+01:00:56,510 --> 01:01:00,690
+اطبق عليهم ال min max normalization من صفر لواحد
+
+670
+01:01:00,690 --> 01:01:04,050
+شكل
+
+671
+01:01:04,050 --> 01:01:12,030
+ال data set هيها صفر مع انه كانت الفروقات بينهم
+
+672
+01:01:13,850 --> 01:01:18,590
+كبيرة جدا وعلى نفس النظام على نفس النظام الألفين
+
+673
+01:01:18,590 --> 01:01:22,830
+لما انا بقدر أطبقها بقدر اخضعها لنفس المبدأ ال min
+
+674
+01:01:22,830 --> 01:01:27,870
+max 01 على نفس الحسبة اللي اشتغل عليها هان هي ال
+
+675
+01:01:27,870 --> 01:01:33,990
+maximum value 55000 وهي ال minimum value ال
+
+676
+01:01:33,990 --> 01:01:39,010
+minimum و ال old ال old minimum و ال old maximum ل
+
+677
+01:01:39,010 --> 01:01:43,370
+ال new minimum 0و الـ New Maximum واحد و بدي أطبق
+
+678
+01:01:43,370 --> 01:01:47,030
+الألف عليهم الألفين عليهم و نفس النظام بدي أطبق
+
+679
+01:01:47,030 --> 01:01:51,410
+باقي العناصر اللي أنا كتبتها ففعليا ال values
+
+680
+01:01:51,410 --> 01:01:58,970
+تبعتها بصير تفرج و بصير كلهم إيش متساويات نعم بس
+
+681
+01:01:58,970 --> 01:02:02,490
+احنا اتفقنا إنه في موضوع ال data ال normalization
+
+682
+01:02:02,490 --> 01:02:07,850
+في ال preprocessing مهم جدا بس شغلة زي السابقة أنا
+
+683
+01:02:07,850 --> 01:02:12,450
+ماشوفتهاشماكنتش .. ماكنتش تخطر في أحلامي إنه فعليا
+
+684
+01:02:12,450 --> 01:02:16,150
+ألاقي إنه الـ nominal attribute أو ألاقي algorithm
+
+685
+01:02:16,150 --> 01:02:21,530
+فقط شغال على الـ numeric data، مصبوط؟ في ناحية الـ
+
+686
+01:02:21,530 --> 01:02:23,890
+preprocessing، احنا حكينا سابقا إنه الـ scaling
+
+687
+01:02:23,890 --> 01:02:29,530
+شغلة أساسية، الـ scaling شغلة أساسية إيش ال
+
+688
+01:02:29,530 --> 01:02:33,670
+advantages و ال disadvantages تبعت ال algorithm
+
+689
+01:02:33,670 --> 01:02:41,090
+اللي عندنا؟ ال advantages robustشو يعني robust؟
+
+690
+01:02:41,090 --> 01:02:50,190
+قوي في موجود ال noise data في عند data طيب هي
+
+691
+01:02:50,190 --> 01:02:55,770
+distinguish ولا distinguish انت
+
+692
+01:02:55,770 --> 01:02:58,010
+اللي بتقول عشانك روحت على بلد و مارست فيها لغة
+
+693
+01:02:58,010 --> 01:03:00,730
+بلفضوها بالشكل هذا بقى هذا لا يعني ان الناس
+
+694
+01:03:00,730 --> 01:03:04,510
+التانية بتلفضوها بالهديات مختلفة شكرا لك تمام
+
+695
+01:03:04,510 --> 01:03:06,470
+سيدي؟ الآن
+
+696
+01:03:08,130 --> 01:03:13,890
+advantages robust أو robust noise training data
+
+697
+01:03:13,890 --> 01:03:17,590
+لما بكون في عندي noise data أنا بأضمن أنه بديني
+
+698
+01:03:17,590 --> 01:03:23,050
+prediction صحيحة بهدف أنه فعليا ما بتأثرش هو عماله
+
+699
+01:03:23,050 --> 01:03:25,950
+بيحسب ال instance أو العلاقة مع كل ال instances و
+
+700
+01:03:25,950 --> 01:03:30,570
+لما تكون في عندي واحدة noise بتدوب ما بين العناصر
+
+701
+01:03:30,570 --> 01:03:34,730
+اللي موجودة effective في حالة إذا كانت ال data
+
+702
+01:03:34,730 --> 01:03:39,490
+تبعتي large enough كبيرةليش؟ لأن بكون ال decision
+
+703
+01:03:39,490 --> 01:03:43,810
+تبعي بعتمد على أكبر عدد ممكن من ال neighbors
+
+704
+01:03:43,810 --> 01:03:48,070
+وبالتالي كل ما كترت النقاط صرت انا بدور انه يكون
+
+705
+01:03:48,070 --> 01:03:52,710
+.. احتمالية انه يكون في نقاط اقرب اعلى ال
+
+706
+01:03:52,710 --> 01:03:58,670
+disadvantages انه لازم احدد الكلمة الجابلة و
+
+707
+01:03:58,670 --> 01:04:02,090
+الكلمة التحديدة هذه بحد ذاته مشكلة انا ما بعرف ولا
+
+708
+01:04:02,090 --> 01:04:07,150
+حد في الدنيا بيعرف ايش افضل key الشغل التانيةالـ
+
+709
+01:04:07,150 --> 01:04:11,230
+distance based learning is not clear مفهوم الـ
+
+710
+01:04:11,230 --> 01:04:13,470
+distance لما كنت بتكلم على ال numerical كنت مقتنع
+
+711
+01:04:13,470 --> 01:04:18,370
+فيها بس لما دخلت ال nominal data بدنا ناخد و نعطف
+
+712
+01:04:18,370 --> 01:04:23,190
+الكلام مصبوط وبالتالي ما صارت مفهوم ال similarity
+
+713
+01:04:23,190 --> 01:04:28,350
+مش clear بالنسبة لي كتير عندي هان الشغلة التالتة
+
+714
+01:04:28,350 --> 01:04:33,650
+أو الأخيرة أنه أنا فعليا هذا ال algorithm بديني
+
+715
+01:04:33,650 --> 01:04:38,970
+high computation costليش؟ انت تخيل عندي 100 ألف
+
+716
+01:04:38,970 --> 01:04:45,090
+instance عشان أقدر أصنف one instance بدي أحسب
+
+717
+01:04:45,090 --> 01:04:51,830
+المسافة بينها وبين 100 ألف نقطة طبعا عندي 10 نقاط
+
+718
+01:04:51,830 --> 01:04:57,150
+بدي أصنفهم بدي أحسب ال distance عشرة في 100 ألف
+
+719
+01:04:57,150 --> 01:05:02,810
+يعني مليون مرة مليون distance بدي أحسب و هكذا لكن
+
+720
+01:05:02,810 --> 01:05:06,470
+هذا برضه على الرغم من العيوب هذهالـ algorithm هذه
+
+721
+01:05:06,470 --> 01:05:11,870
+في حالات كتيرة efficient إذا كانت في عندي memory
+
+722
+01:05:11,870 --> 01:05:16,150
+كافية و ال data set تباعتي كويسة بتديني prediction
+
+723
+01:05:16,150 --> 01:05:19,670
+عالي لأن أحيانا يا جماعة الخير بقدرش أبني model
+
+724
+01:05:19,670 --> 01:05:26,720
+أنا لاحظ أي تغيير في ال environment مش هتأثر فيهفي
+
+725
+01:05:26,720 --> 01:05:29,560
+الآخر انت بتديني قيم وانا بحسب قربي او بعدي النقطة
+
+726
+01:05:29,560 --> 01:05:33,720
+جربت ولا بعدت انا ماعندي مشكلة لكن في حالة بناء ال
+
+727
+01:05:33,720 --> 01:05:36,420
+model زى ما هشوف لاحقا انا ببنى model ال model
+
+728
+01:05:36,420 --> 01:05:42,540
+خلاص صار if then طب اتغيرت الدنيا بدك تغير ال if
+
+729
+01:05:42,540 --> 01:05:45,840
+then يعني بدك تعمل ال training مرة تانية و عادة
+
+730
+01:05:45,840 --> 01:05:51,020
+بنطلق على ال kennerist labor hand lazy learning
+
+731
+01:05:51,020 --> 01:05:54,020
+algorithm
+
+732
+01:06:01,130 --> 01:06:05,630
+براحته، ليش lazy؟ لأنه فعلا بيبنيش model كاسلان
+
+733
+01:06:05,630 --> 01:06:09,030
+ماعندهش استعداد يرهق نفسه في بناء model أو يحط
+
+734
+01:06:09,030 --> 01:06:12,970
+role كصفر العلاقة ما بين ال attributes و ال class
+
+735
+01:06:12,970 --> 01:06:17,410
+فبيعتمد هو كل مرة على إيش؟ على ال computation بدل
+
+736
+01:06:17,410 --> 01:06:25,380
+من حساب ال model متطفل؟ لاهو شغال بذاته هو كسول
+
+737
+01:06:25,380 --> 01:06:29,020
+بدوش يبني بقولك لما بتيجي تعمل instance بعملك
+
+738
+01:06:29,020 --> 01:06:31,560
+الحسبة و بديكي اياه و خلاصنا بديش ابني model
+
+739
+01:06:31,560 --> 01:06:40,320
+واحتفظ فيه اللي هي لأ
+
+740
+01:06:40,320 --> 01:06:43,520
+لأ هذا ال algorithm من ال deterministic algorithm
+
+741
+01:06:43,520 --> 01:06:49,550
+يعني لو دوفرتله نفس ال data setو نفس الـ Instant
+
+742
+01:06:49,550 --> 01:06:53,910
+Set وجربت 7000 مليون مرة تعمل ال classification
+
+743
+01:06:53,910 --> 01:07:00,670
+تحديك نفس النتيجة اه
+
+744
+01:07:00,670 --> 01:07:04,670
+ممكن انا ماقلتش ان ال algorithm هذا هو الأفضل
+
+745
+01:07:04,670 --> 01:07:09,550
+طبعا؟ لكن هذا ال algorithm هو الأسهل من ناحية
+
+746
+01:07:09,550 --> 01:07:13,490
+الاستيعاب، أيش اللي بيصير فعشان هيك أنا بديت فيه،
+
+747
+01:07:13,490 --> 01:07:17,870
+الآن هل هو أفضل algorithm؟ لأالان بس أنا بالنسبة
+
+748
+01:07:17,870 --> 01:07:21,950
+لي تجربة شخصية في الدكتوراه كان ال algorithm هذا
+
+749
+01:07:21,950 --> 01:07:26,850
+هو قوق النجاة تبعي قارنته بال support vector
+
+750
+01:07:26,850 --> 01:07:30,470
+machine وقارنته بال neural network كان أداءه أقل
+
+751
+01:07:30,470 --> 01:07:33,930
+منهم على الرغم من هي كان اختيار ان هذا ال
+
+752
+01:07:33,930 --> 01:07:36,910
+algorithm هو الأكثر مناسبة انا بأشتغل في dynamic
+
+753
+01:07:36,910 --> 01:07:41,430
+environment بعمل computation على الجوال وبالتالي
+
+754
+01:07:41,430 --> 01:07:44,830
+يستحيل موضوع ال learning ان ابني model كل ما تتغير
+
+755
+01:07:44,830 --> 01:07:49,540
+ال environmentومقاربة الـ Accuracy لـ Neural
+
+756
+01:07:49,540 --> 01:07:53,320
+Network دتني حوالي 97% الـ support vector machine
+
+757
+01:07:53,320 --> 01:07:59,360
+الدنيا مقاربة لها وهذا الدرح الدنيا 94% فبالضبط
+
+758
+01:07:59,360 --> 01:08:03,780
+فصرت هذا مش فارق في مقابل أنه هذا بيشتغل مع الـ
+
+759
+01:08:03,780 --> 01:08:06,020
+dynamic environment لأنه أنا مش بحاجة في كل ما
+
+760
+01:08:06,020 --> 01:08:10,700
+تتغير عوامل البيئة أروح أبني model جديد فكان هو
+
+761
+01:08:10,700 --> 01:08:13,620
+فعليا أوق النجاح زي ما قلتلك بالنسبة لي من تجربة
+
+762
+01:08:13,620 --> 01:08:17,430
+فهذا لا يعني أنه سيءلكن أنا قاعد بتكلم advantages
+
+763
+01:08:17,430 --> 01:08:21,770
+او disadvantages موجودة عندها ال code اللي موجود
+
+764
+01:08:21,770 --> 01:08:26,070
+عندها بكل بساطة بيبني او بيستخدم ال kenyan sniper
+
+765
+01:08:26,070 --> 01:08:32,830
+algorithm بال بايثون طبعا انا بفترض ان انا عامل
+
+766
+01:08:32,830 --> 01:08:33,210
+import
+
+767
+01:08:36,030 --> 01:08:38,790
+الان بكل بساطة الشباب اللي انا سويته في ال code
+
+768
+01:08:38,790 --> 01:08:42,510
+هذا كنت بدأ اشتغله او رابط مدامك عملي الان عملت
+
+769
+01:08:42,510 --> 01:08:46,830
+import لل pandas as bd و ال bd مجرد اي اي shortcut
+
+770
+01:08:46,830 --> 01:08:50,350
+عشان تختصر من كتابة أسماء ال libraries باكتر من
+
+771
+01:08:50,350 --> 01:08:54,930
+طريقة و قلتله ال data 6 بعت equal pandas dot read
+
+772
+01:08:54,930 --> 01:09:02,390
+csv iris dot csv data بتتكلم على تصنيف زهر السوسن
+
+773
+01:09:02,390 --> 01:09:08,680
+لتلت أصنافال data set هذه for training معدّة بشكل
+
+774
+01:09:08,680 --> 01:09:13,480
+جيد لل classification طبعا يعني إذا أريد أن أفهم
+
+775
+01:09:13,480 --> 01:09:15,580
+ال classification و أجرب ال algorithm و أقارن ما
+
+776
+01:09:15,580 --> 01:09:18,880
+بين ال algorithm هذه واحدة من ال data set المناسبة
+
+777
+01:09:18,880 --> 01:09:23,240
+عدد ال rows اللي فيها 150 row three classes خمسين
+
+778
+01:09:23,240 --> 01:09:28,560
+row في كل class طبعا زي بسم قلتلك هي عشان أنا أجرب
+
+779
+01:09:28,560 --> 01:09:33,520
+عليها الآن قرأت ال data set عادة ال data set تبعتي
+
+780
+01:09:35,720 --> 01:09:43,940
+هذه من الـ five attributes السبل
+
+781
+01:09:43,940 --> 01:09:48,500
+length و السبل width عرض أقول السبلة و ال beta
+
+782
+01:09:48,500 --> 01:09:52,960
+length و ال beta width عرض أقول البتلة تبع الزهرة
+
+783
+01:09:52,960 --> 01:09:59,800
+تمام؟ الكأس و الورقة تبع الزهرة و النوع النوع اسمه
+
+784
+01:09:59,800 --> 01:10:00,180
+variety
+
+785
+01:10:04,190 --> 01:10:07,070
+Kindhand في الـ data set اللي أنا استخدمتها في
+
+786
+01:10:07,070 --> 01:10:10,510
+data تانية ممكن تسميها kind أو type أو citrus ال
+
+787
+01:10:10,510 --> 01:10:15,570
+iris type إلى أخرها هذا ال data set كلها جاية في
+
+788
+01:10:15,570 --> 01:10:19,890
+جدول واحد block واحد أنا الخطوة رقم واحد المفروض
+
+789
+01:10:19,890 --> 01:10:25,910
+أسويها مع أي عملية classification أفصل أفصل ما بين
+
+790
+01:10:25,910 --> 01:10:32,070
+ال label وال attributes كيف بدي أفصل بين ال label
+
+791
+01:10:32,070 --> 01:10:35,790
+وال attributes؟و قلت له ال attributes تبعتي تساوي
+
+792
+01:10:35,790 --> 01:10:40,930
+ال data set ضد ال drop ال variety drop لل variety
+
+793
+01:10:40,930 --> 01:10:45,470
+إيش يعني؟ يشيله بس من وين هيشيله؟ هيشيله من ال
+
+794
+01:10:45,470 --> 01:10:49,750
+data set و يحطها في data set جديد يسميه ليها
+
+795
+01:10:49,750 --> 01:10:54,470
+features و ليش قلت له x is equal 1؟ لأنه أنا بدي
+
+796
+01:10:54,470 --> 01:10:58,550
+أشيل columnالان بعضكم ممكن يخطئ ويروح يحط يقوله
+
+797
+01:10:58,550 --> 01:11:02,410
+الـ IRIS او ال data set equal كده بيصير يحدث عليها
+
+798
+01:11:02,410 --> 01:11:06,510
+بيلزم يحط in place true عشان يعدل على نفس ال data
+
+799
+01:11:06,510 --> 01:11:11,190
+set اللي هو شغال عليها انا هيك اخدت مين اخدت ال
+
+800
+01:11:11,190 --> 01:11:17,730
+features في data set جديدة بدي اخد ال labels او ال
+
+801
+01:11:17,730 --> 01:11:20,810
+target هقوله ال target تساوي ال data set dot
+
+802
+01:11:20,810 --> 01:11:24,570
+variety او ال data set
+
+803
+01:11:32,680 --> 01:11:37,640
+variety هانتعامل معاها as an instance من ال
+
+804
+01:11:37,640 --> 01:11:41,260
+framework اللي موجود عندك هان class وعتبرها
+
+805
+01:11:41,260 --> 01:11:43,900
+variable منه وأخدها منه مواشرة و هان روحت انت
+
+806
+01:11:43,900 --> 01:11:47,780
+اعتبرته ليها as dictionary او ك array او vector
+
+807
+01:11:47,780 --> 01:11:51,340
+وراح يقطعلك ايه ويقولك اتفضل هذه و هذه هديك نفس
+
+808
+01:11:51,340 --> 01:11:55,200
+النتيجة الان اللي هيصير عندي بعد هيك from the
+
+809
+01:11:55,200 --> 01:11:59,010
+escalars dot neighborsلأن هذه سلسلة algorithm
+
+810
+01:11:59,010 --> 01:12:07,370
+import nearest neighbor k and n ال model equal k
+
+811
+01:12:07,370 --> 01:12:10,970
+and n خمسة أخدت constructor و قلت له ال k تبعتي
+
+812
+01:12:10,970 --> 01:12:15,950
+خمسة و قلت له هاي ال association بين ال features و
+
+813
+01:12:15,950 --> 01:12:22,490
+ال label اللي عندي ال model dot fitبعد هي قلت له
+
+814
+01:12:22,490 --> 01:12:26,750
+اعمل prediction لمين؟ لـ model.neighbors ال test و
+
+815
+01:12:26,750 --> 01:12:32,070
+ال S ايش ال test؟ هي عبارة عن sample instance فيها
+
+816
+01:12:32,070 --> 01:12:35,650
+خمسة و تلاتة و ستة من عشرة واحد و اتنين و واحد و
+
+817
+01:12:35,650 --> 01:12:38,470
+سبعة قلت له re shape عشان يعمل ليهم as a vector
+
+818
+01:12:38,470 --> 01:12:43,030
+تتطابق تماما بال direction مع ال instances اللي
+
+819
+01:12:43,030 --> 01:12:46,130
+موجودة في ال predictions هذه خزنت انها ال value في
+
+820
+01:12:46,130 --> 01:12:50,180
+ال predictions مافيش ال predictions يا شبابهي
+
+821
+01:12:50,180 --> 01:12:58,240
+عبارة عن الـ Ray من خمس عناصر تمام؟ إيش فيها؟ فيها
+
+822
+01:12:58,240 --> 01:13:05,420
+الـ shortest distances ال distances أقصر مسافات مش
+
+823
+01:13:05,420 --> 01:13:07,880
+أنا بقوله دور على ال shortest five neighbors
+
+824
+01:13:07,880 --> 01:13:12,520
+فجابلي أقصر خمس مسافات هذا ال role أول في ال array
+
+825
+01:13:12,520 --> 01:13:18,010
+ال road تاني عبارة عن ال Rayفي ال index تبعت ال
+
+826
+01:13:18,010 --> 01:13:24,250
+instances أصحاب أقصر مسافات بضل عليك تاخد ال index
+
+827
+01:13:24,250 --> 01:13:29,210
+هدول و تروح تجيب ال label تبعتهم عشان إيش تعمل
+
+828
+01:13:29,210 --> 01:13:33,290
+بينهما voting وتاخد القيمة اللي موجودة الله
+
+829
+01:13:33,290 --> 01:13:35,910
+يعطيكوا العافية و بشوفكوا ان شاء الله لسبوع القادم
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..328fe5f8fc92c43db36e16532afe3aa9feac7dc5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 2382, "start": 5.04, "end": 23.82, "text": "بسم الله والحمد لله والصلاة والسلام على رسول الله أهلا وسهلا فيكم يا شباب في محاضرتنا الثانية في موضوع ال classification كنا حكينا في المحاضرة الماضية أن موضوع ال classification هي عبارة عن تحديد عضوية المجموعات المعروفة", "tokens": [3555, 38251, 21984, 16070, 35571, 3215, 24976, 3224, 16070, 9381, 15040, 3660, 16070, 3794, 37440, 15844, 12602, 3794, 12610, 21984, 5551, 3224, 15040, 46952, 3224, 15040, 8978, 24793, 35186, 13412, 3555, 16758, 8978, 3714, 5016, 46958, 43500, 8315, 6024, 104, 7649, 10632, 8978, 3714, 2407, 11242, 45367, 2423, 21538, 9122, 8315, 11331, 4117, 1829, 8315, 8978, 9673, 5016, 46958, 25720, 9673, 46958, 10632, 14739, 3714, 2407, 11242, 45367, 2423, 21538, 39896, 6225, 3555, 9640, 3660, 18871, 6055, 5016, 16254, 3215, 6225, 11242, 2407, 10632, 9673, 7435, 2304, 45367, 9307, 9673, 3615, 32887, 5172, 3660], "avg_logprob": -0.0982730242766832, "compression_ratio": 1.9583333333333333, 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0.83056640625}, {"start": 185.18, "end": 185.98, "word": " و", "probability": 0.97265625}, {"start": 185.98, "end": 186.22, "word": " نشوف", "probability": 0.9524739583333334}, {"start": 186.22, "end": 186.42, "word": " كيف", "probability": 0.98388671875}, {"start": 186.42, "end": 186.52, "word": " ال", "probability": 0.9609375}, {"start": 186.52, "end": 186.92, "word": " algorithm", "probability": 0.85400390625}, {"start": 186.92, "end": 187.28, "word": " قاعدة", "probability": 0.79534912109375}, {"start": 187.28, "end": 187.76, "word": " بتشتغل", "probability": 0.9435546875}, {"start": 187.76, "end": 187.9, "word": " مع", "probability": 0.99267578125}, {"start": 187.9, "end": 188.38, "word": " العناصر", "probability": 0.92626953125}, {"start": 188.38, "end": 188.48, "word": " اللي", "probability": 0.947509765625}, {"start": 188.48, "end": 188.72, "word": " موجودة", "probability": 0.9771728515625}, {"start": 188.72, "end": 188.96, "word": " عندى", "probability": 0.70263671875}, {"start": 188.96, "end": 189.14, "word": " او", "probability": 0.822998046875}, {"start": 189.14, "end": 189.32, "word": " في", "probability": 0.8828125}, {"start": 189.32, "end": 189.42, "word": " ال", "probability": 0.98583984375}, {"start": 189.42, "end": 190.0, "word": " classification", "probability": 0.88134765625}, {"start": 190.0, "end": 190.74, "word": " و", "probability": 0.474609375}, {"start": 190.74, "end": 191.16, "word": " اول", "probability": 0.730224609375}, {"start": 191.16, "end": 191.82, "word": " algorithm", "probability": 0.92431640625}], "temperature": 1.0}, {"id": 9, "seek": 22091, "start": 192.91, "end": 220.91, "text": "بيشتغل او هنتكلم عليه الـ K nearest neighbor الان K nearest neighbor شو يعني nearest neighbor في الأول أقرب جار اقرب جار لو انا اجيت اسمك هاني هاني بدي اعرف هاني كويس ايش ممكن اروح اسوي اروح اطبق مين اصحاب هاني مين اصحاب هاني المقربين وبناء عليه", "tokens": [21292, 8592, 2655, 17082, 1211, 1975, 2407, 8032, 29399, 4117, 19528, 47356, 2423, 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"word": " هاني", "probability": 0.88525390625}, {"start": 207.05, "end": 207.71, "word": " بدي", "probability": 0.6768798828125}, {"start": 207.71, "end": 208.31, "word": " اعرف", "probability": 0.87353515625}, {"start": 208.31, "end": 209.39, "word": " هاني", "probability": 0.9676106770833334}, {"start": 209.39, "end": 212.41, "word": " كويس", "probability": 0.9010416666666666}, {"start": 212.41, "end": 212.77, "word": " ايش", "probability": 0.85888671875}, {"start": 212.77, "end": 212.93, "word": " ممكن", "probability": 0.990234375}, {"start": 212.93, "end": 213.15, "word": " اروح", "probability": 0.9236653645833334}, {"start": 213.15, "end": 213.51, "word": " اسوي", "probability": 0.57421875}, {"start": 213.51, "end": 214.73, "word": " اروح", "probability": 0.9169921875}, {"start": 214.73, "end": 215.19, "word": " اطبق", "probability": 0.46881103515625}, {"start": 215.19, "end": 215.45, "word": " مين", "probability": 0.8427734375}, {"start": 215.45, "end": 215.99, "word": " اصحاب", "probability": 0.8475341796875}, {"start": 215.99, "end": 216.53, "word": " هاني", "probability": 0.9835611979166666}, {"start": 216.53, "end": 217.49, "word": " مين", "probability": 0.84912109375}, {"start": 217.49, "end": 217.95, "word": " اصحاب", "probability": 0.97705078125}, {"start": 217.95, "end": 218.31, "word": " هاني", "probability": 0.9850260416666666}, {"start": 218.31, "end": 219.09, "word": " المقربين", "probability": 0.9669189453125}, {"start": 219.09, "end": 220.51, "word": " وبناء", "probability": 0.8175455729166666}, {"start": 220.51, "end": 220.91, "word": " عليه", "probability": 0.953125}], "temperature": 1.0}, {"id": 10, "seek": 23676, "start": 222.02, "end": 236.76, "text": "بنقول إنه هاني صفاته بصفات الناس اللي أنا بعرفهم من مين من أصحابه أو من جيرانه Can your neighbor يعني أنا بدي أحطلهم عدد من أقرب اتنين لهاني من أقرب تلاتة من أقرب خمسة", "tokens": [3555, 1863, 39648, 36145, 3224, 8032, 7649, 1829, 20328, 5172, 9307, 3224, 4724, 9381, 5172, 9307, 2423, 8315, 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"probability": 0.9923502604166666}, {"start": 226.28, "end": 226.56, "word": " اللي", "probability": 0.93603515625}, {"start": 226.56, "end": 226.76, "word": " أنا", "probability": 0.787109375}, {"start": 226.76, "end": 227.4, "word": " بعرفهم", "probability": 0.9796549479166666}, {"start": 227.4, "end": 227.6, "word": " من", "probability": 0.95263671875}, {"start": 227.6, "end": 227.86, "word": " مين", "probability": 0.80224609375}, {"start": 227.86, "end": 229.12, "word": " من", "probability": 0.48095703125}, {"start": 229.12, "end": 229.58, "word": " أصحابه", "probability": 0.96533203125}, {"start": 229.58, "end": 229.7, "word": " أو", "probability": 0.88525390625}, {"start": 229.7, "end": 229.84, "word": " من", "probability": 0.93994140625}, {"start": 229.84, "end": 230.38, "word": " جيرانه", "probability": 0.971435546875}, {"start": 230.38, "end": 231.46, "word": " Can", "probability": 0.296630859375}, {"start": 231.46, "end": 231.66, "word": " your", "probability": 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"end": 1440.14, "word": " صورة", "probability": 0.9933268229166666}, {"start": 1440.14, "end": 1440.46, "word": " مية", "probability": 0.56842041015625}, {"start": 1440.46, "end": 1440.66, "word": " في", "probability": 0.93603515625}, {"start": 1440.66, "end": 1440.9, "word": " مية", "probability": 0.96875}, {"start": 1440.9, "end": 1441.44, "word": " بيكسلز", "probability": 0.9585774739583334}, {"start": 1441.44, "end": 1441.76, "word": " جدش", "probability": 0.4792073567708333}, {"start": 1441.76, "end": 1441.84, "word": " ال", "probability": 0.966796875}, {"start": 1441.84, "end": 1442.16, "word": " resolution", "probability": 0.65185546875}, {"start": 1442.16, "end": 1442.68, "word": " تبعتها", "probability": 0.933837890625}, {"start": 1442.68, "end": 1443.06, "word": " عالية", "probability": 0.9775390625}, {"start": 1443.06, "end": 1444.02, "word": " لأ", "probability": 0.70556640625}, {"start": 1444.02, "end": 1444.3, "word": " صورة", "probability": 0.8968098958333334}, {"start": 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0.6110432942708334}, {"start": 1453.4, "end": 1453.54, "word": " رأي", "probability": 0.8190104166666666}, {"start": 1453.54, "end": 1454.02, "word": " كرامي؟", "probability": 0.9478515625}], "temperature": 1.0}, {"id": 55, "seek": 148068, "start": 1454.96, "end": 1480.68, "text": "بس، هذه بس انت تتكلمنا على عشر تلاف attributes على صورة صغيرة تيك تتخيلي الصورة full HD جداش عدد ال attributes تبعتها طيب، الآن طبعا في حالة إذا كل pixel مثلت attribute ال kennerist neighbor بدور أو باعتمد على أو عرف إن الشخص اسمه similarity function شو يعني similarity؟ تشابه", "tokens": [3555, 3794, 12399, 29538, 4724, 3794, 16472, 2655, 6055, 2655, 4117, 19528, 8315, 15844, 6225, 46309, 6055, 15040, 5172, 17212, 15844, 20328, 13063, 3660, 20328, 17082, 48923, 6055, 1829, 4117, 6055, 2655, 9778, 26895, 1829, 31767, 13063, 3660, 1577, 12149, 10874, 3215, 33599, 6225, 3215, 3215, 2423, 17212, 6055, 3555, 34268, 11296, 23032, 1829, 3555, 12399, 6024, 48506, 23032, 3555, 3615, 995, 8978, 11331, 6027, 3660, 11933, 15730, 28242, 19261, 50113, 1211, 2655, 19667, 2423, 18787, 1193, 468, 5987, 47525, 13063, 34051, 4724, 995, 34268, 2304, 3215, 15844, 34051, 6225, 28480, 36145, 25124, 9778, 9381, 24525, 2304, 3224, 32194, 2445, 13412, 2407, 37495, 22653, 32194, 22807, 6055, 8592, 16758, 3224], "avg_logprob": -0.2653434738382563, "compression_ratio": 1.5655430711610487, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1454.96, "end": 1455.7, "word": "بس،", "probability": 0.7162679036458334}, {"start": 1455.7, "end": 1455.86, "word": " هذه", "probability": 0.281005859375}, {"start": 1455.86, "end": 1456.06, "word": " بس", "probability": 0.97412109375}, {"start": 1456.06, "end": 1456.24, "word": " انت", "probability": 0.571533203125}, {"start": 1456.24, "end": 1456.66, "word": " تتكلمنا", "probability": 0.76728515625}, {"start": 1456.66, "end": 1456.78, "word": " على", "probability": 0.56982421875}, {"start": 1456.78, "end": 1457.04, "word": " عشر", "probability": 0.602294921875}, {"start": 1457.04, "end": 1457.3, "word": " تلاف", "probability": 0.8328450520833334}, {"start": 1457.3, "end": 1457.7, "word": " attributes", "probability": 0.4931640625}, {"start": 1457.7, "end": 1457.9, "word": " على", "probability": 0.8701171875}, {"start": 1457.9, "end": 1458.16, "word": " صورة", "probability": 0.98291015625}, {"start": 1458.16, "end": 1458.5, "word": " صغيرة", "probability": 0.994140625}, {"start": 1458.5, "end": 1458.98, "word": " تيك", "probability": 0.492919921875}, {"start": 1458.98, "end": 1459.46, "word": " تتخيلي", "probability": 0.9318359375}, {"start": 1459.46, "end": 1459.8, "word": " الصورة", "probability": 0.9518229166666666}, {"start": 1459.8, "end": 1459.98, "word": " full", "probability": 0.5263671875}, {"start": 1459.98, "end": 1460.54, "word": " HD", "probability": 0.912109375}, {"start": 1460.54, "end": 1462.14, "word": " جداش", "probability": 0.62744140625}, {"start": 1462.14, "end": 1462.38, "word": " عدد", "probability": 0.9690755208333334}, {"start": 1462.38, "end": 1462.48, "word": " ال", "probability": 0.984375}, {"start": 1462.48, "end": 1462.86, "word": " attributes", "probability": 0.8193359375}, {"start": 1462.86, "end": 1463.52, "word": " تبعتها", "probability": 0.95166015625}, {"start": 1463.52, "end": 1465.92, "word": " طيب،", "probability": 0.9033203125}, {"start": 1465.92, "end": 1466.3, "word": " الآن", "probability": 0.791748046875}, {"start": 1466.3, "end": 1467.08, "word": " طبعا", "probability": 0.9134521484375}, {"start": 1467.08, "end": 1467.2, "word": " في", "probability": 0.8798828125}, {"start": 1467.2, "end": 1467.48, "word": " حالة", "probability": 0.9921875}, {"start": 1467.48, "end": 1467.64, "word": " إذا", "probability": 0.780517578125}, {"start": 1467.64, "end": 1467.82, "word": " كل", "probability": 0.9755859375}, {"start": 1467.82, "end": 1468.18, "word": " pixel", "probability": 0.7646484375}, {"start": 1468.18, "end": 1468.88, "word": " مثلت", "probability": 0.8699544270833334}, {"start": 1468.88, "end": 1470.54, "word": " attribute", "probability": 0.86376953125}, {"start": 1470.54, "end": 1471.74, "word": " ال", "probability": 0.8310546875}, {"start": 1471.74, "end": 1472.34, "word": " kennerist", "probability": 0.3778076171875}, {"start": 1472.34, "end": 1472.64, "word": " neighbor", "probability": 0.67236328125}, {"start": 1472.64, "end": 1473.14, "word": " بدور", "probability": 0.91845703125}, {"start": 1473.14, "end": 1473.42, "word": " أو", "probability": 0.86767578125}, {"start": 1473.42, "end": 1473.9, "word": " باعتمد", "probability": 0.845458984375}, {"start": 1473.9, "end": 1474.22, "word": " على", "probability": 0.9228515625}, {"start": 1474.22, "end": 1475.26, "word": " أو", "probability": 0.7255859375}, {"start": 1475.26, "end": 1475.6, "word": " عرف", "probability": 0.715576171875}, {"start": 1475.6, "end": 1475.7, "word": " إن", "probability": 0.137451171875}, {"start": 1475.7, "end": 1475.94, "word": " الشخص", "probability": 0.7308756510416666}, {"start": 1475.94, "end": 1476.4, "word": " اسمه", "probability": 0.8465169270833334}, {"start": 1476.4, "end": 1476.9, "word": " similarity", "probability": 0.8203125}, {"start": 1476.9, "end": 1477.58, "word": " function", "probability": 0.96875}, {"start": 1477.58, "end": 1478.44, "word": " شو", "probability": 0.922119140625}, {"start": 1478.44, "end": 1478.62, "word": " يعني", "probability": 0.96337890625}, {"start": 1478.62, "end": 1479.7, "word": " similarity؟", "probability": 0.82177734375}, {"start": 1479.7, "end": 1480.68, "word": " تشابه", "probability": 0.9892578125}], "temperature": 1.0}, {"id": 56, "seek": 150975, "start": 1481.27, "end": 1509.75, "text": "أو تقابق بين ال instances اللي موجودة سابقًا أنا كنت بقولك مين أقرب الناس لفلان لو أنا إجيت قولتلك في ال one D شو يعني one D؟ one attribute انا عندي عشرة وعندي خمسة وعندي سبعة العشرة أقرب لمين؟", "tokens": [10721, 2407, 6055, 4587, 16758, 4587, 49374, 2423, 14519, 13672, 1829, 3714, 29245, 23328, 3660, 8608, 16758, 4587, 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{"start": 1483.59, "end": 1484.09, "word": " اللي", "probability": 0.919921875}, {"start": 1484.09, "end": 1484.63, "word": " موجودة", "probability": 0.992431640625}, {"start": 1484.63, "end": 1486.35, "word": " سابقًا", "probability": 0.861279296875}, {"start": 1486.35, "end": 1486.47, "word": " أنا", "probability": 0.359619140625}, {"start": 1486.47, "end": 1486.61, "word": " كنت", "probability": 0.991455078125}, {"start": 1486.61, "end": 1487.11, "word": " بقولك", "probability": 0.9093424479166666}, {"start": 1487.11, "end": 1487.65, "word": " مين", "probability": 0.876953125}, {"start": 1487.65, "end": 1488.03, "word": " أقرب", "probability": 0.9583333333333334}, {"start": 1488.03, "end": 1488.47, "word": " الناس", "probability": 0.9930013020833334}, {"start": 1488.47, "end": 1489.01, "word": " لفلان", "probability": 0.9530029296875}, {"start": 1489.01, "end": 1489.97, "word": " لو", "probability": 0.6455078125}, {"start": 1489.97, "end": 1490.17, "word": " أنا", "probability": 0.7685546875}, {"start": 1490.17, "end": 1490.39, "word": " إجيت", "probability": 0.722900390625}, {"start": 1490.39, "end": 1490.83, "word": " قولتلك", "probability": 0.73834228515625}, {"start": 1490.83, "end": 1490.97, "word": " في", "probability": 0.955078125}, {"start": 1490.97, "end": 1491.11, "word": " ال", "probability": 0.984375}, {"start": 1491.11, "end": 1491.31, "word": " one", "probability": 0.5810546875}, {"start": 1491.31, "end": 1491.61, "word": " D", "probability": 0.41796875}, {"start": 1491.61, "end": 1493.75, "word": " شو", "probability": 0.93994140625}, {"start": 1493.75, "end": 1493.95, "word": " يعني", "probability": 0.947998046875}, {"start": 1493.95, "end": 1494.13, "word": " one", "probability": 0.88916015625}, {"start": 1494.13, "end": 1494.63, "word": " D؟", "probability": 0.801025390625}, {"start": 1494.63, "end": 1494.75, "word": " one", "probability": 0.80517578125}, {"start": 1494.75, "end": 1495.31, "word": " attribute", "probability": 0.93798828125}, 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select ال key nearest instances بنقل على ال value اللي حطيها في واحد وفي الآخر بعمل تصويت ما بينهم وبحسب ال majority بحسب ال majority ال example اللي موجود عندي هان انت بقى تشتغله", "tokens": [3555, 9381, 13546, 12174, 18513, 2288, 1975, 8315, 1975, 8592, 38688, 4032, 9957, 4724, 8592, 38688, 16095, 28242, 16095, 4032, 23557, 45030, 11242, 6225, 8592, 7649, 1975, 2655, 3794, 3224, 1211, 25894, 6225, 42213, 10632, 2423, 10419, 39182, 39896, 4117, 3048, 2423, 2141, 23831, 14519, 4724, 1863, 4587, 1211, 15844, 2423, 2158, 13672, 1829, 11331, 9566, 1829, 11296, 8978, 36764, 24401, 4032, 41185, 6024, 95, 34740, 4724, 25957, 1211, 6055, 9381, 2407, 36081, 19446, 49374, 16095, 4032, 49628, 35457, 2423, 6286, 4724, 5016, 35457, 2423, 6286, 2423, 1365, 13672, 1829, 3714, 29245, 23328, 18871, 16254, 8032, 7649, 16472, 2655, 4724, 4587, 7578, 6055, 8592, 2655, 17082, 43761], "avg_logprob": -0.2026909758095388, "compression_ratio": 1.6720647773279351, "no_speech_prob": 1.1920928955078125e-07, 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"probability": 0.9718017578125}, {"start": 2578.56, "end": 2581.0, "word": " زائد", "probability": 0.9596354166666666}, {"start": 2581.0, "end": 2581.46, "word": " تلاتة", "probability": 0.954833984375}, {"start": 2581.46, "end": 2582.08, "word": " تربيع", "probability": 0.9757080078125}, {"start": 2582.08, "end": 2582.78, "word": " وبرضه", "probability": 0.779296875}, {"start": 2582.78, "end": 2582.94, "word": " هذه", "probability": 0.861328125}, {"start": 2582.94, "end": 2583.32, "word": " كانت", "probability": 0.990478515625}, {"start": 2583.32, "end": 2583.68, "word": " bad", "probability": 0.93310546875}, {"start": 2583.68, "end": 2586.36, "word": " الآن", "probability": 0.80224609375}, {"start": 2586.36, "end": 2587.68, "word": " البعديها", "probability": 0.81158447265625}, {"start": 2587.68, "end": 2589.24, "word": " صفر", "probability": 0.9684244791666666}, {"start": 2589.24, "end": 2589.96, "word": " تربيع", "probability": 0.9791259765625}, {"start": 2589.96, "end": 2590.88, "word": " زائد", "probability": 0.9666341145833334}, {"start": 2590.88, "end": 2591.24, "word": " واحد", "probability": 0.990478515625}, {"start": 2591.24, "end": 2591.92, "word": " تربيع", "probability": 0.971923828125}, {"start": 2591.92, "end": 2592.52, "word": " وهذه", "probability": 0.736083984375}, {"start": 2592.52, "end": 2592.9, "word": " good", "probability": 0.81103515625}, {"start": 2592.9, "end": 2594.56, "word": " ال", "probability": 0.98291015625}, {"start": 2594.56, "end": 2594.82, "word": " instance", "probability": 0.97412109375}, {"start": 2594.82, "end": 2595.54, "word": " الأخيرة", "probability": 0.9601236979166666}], "temperature": 1.0}, {"id": 95, "seek": 262450, "start": 2596.76, "end": 2624.5, "text": "اتنين تربيع زائد تلاتة عفوا تلاتة عفوا تربيع سبعة ناقص أربعة تلاتة تربيع وهذه good أقصر مسافة اللي بعديها اللي بعديها", "tokens": [9307, 1863, 9957, 6055, 2288, 21292, 3615, 30767, 16373, 3215, 6055, 1211, 9307, 3660, 6225, 5172, 14407, 6055, 1211, 9307, 3660, 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"probability": 0.9773763020833334}, {"start": 2603.68, "end": 2604.18, "word": " تربيع", "probability": 0.937744140625}, {"start": 2604.18, "end": 2607.44, "word": " سبعة", "probability": 0.9147135416666666}, {"start": 2607.44, "end": 2607.8, "word": " ناقص", "probability": 0.936279296875}, {"start": 2607.8, "end": 2608.2, "word": " أربعة", "probability": 0.8938802083333334}, {"start": 2608.2, "end": 2609.92, "word": " تلاتة", "probability": 0.9693603515625}, {"start": 2609.92, "end": 2610.42, "word": " تربيع", "probability": 0.971923828125}, {"start": 2610.42, "end": 2610.76, "word": " وهذه", "probability": 0.614501953125}, {"start": 2610.76, "end": 2611.16, "word": " good", "probability": 0.3623046875}, {"start": 2611.16, "end": 2617.6, "word": " أقصر", "probability": 0.9259033203125}, {"start": 2617.6, "end": 2618.82, "word": " مسافة", "probability": 0.9825846354166666}, {"start": 2618.82, "end": 2621.5, "word": " اللي", "probability": 0.971923828125}, {"start": 2621.5, "end": 2622.08, "word": " بعديها", "probability": 0.8463541666666666}, {"start": 2622.08, "end": 2623.94, "word": " اللي", "probability": 0.95947265625}, {"start": 2623.94, "end": 2624.5, "word": " بعديها", "probability": 0.98779296875}], "temperature": 1.0}, {"id": 96, "seek": 265196, "start": 2627.0, "end": 2651.96, "text": "إذا كانت الـ K equal واحد فهي Good إذا كانت الـ K equal تلاتة بعمل voting بين التلاتة الأصغر تنتين Good و واحدة Bad حسب المجارية باخد الـ Good فكل الحالتين كانت عندك Good Eclidean distance أنا اعتمدت يا دكتور ماطبقتش الترديع", "tokens": [28814, 15730, 25961, 2655, 2423, 39184, 591, 2681, 36764, 24401, 6156, 3224, 1829, 2205, 11933, 15730, 25961, 2655, 2423, 39184, 591, 2681, 6055, 1211, 9307, 3660, 4724, 25957, 1211, 10419, 49374, 16712, 1211, 9307, 3660, 16247, 9381, 17082, 2288, 6055, 29399, 9957, 2205, 4032, 36764, 24401, 3660, 11523, 11331, 35457, 9673, 7435, 9640, 10632, 4724, 47283, 3215, 2423, 39184, 2205, 6156, 28820, 21542, 6027, 2655, 9957, 25961, 2655, 43242, 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"word": " عندك", "probability": 0.971923828125}, {"start": 2645.72, "end": 2646.04, "word": " Good", "probability": 0.921875}, {"start": 2646.04, "end": 2648.46, "word": " Eclidean", "probability": 0.578643798828125}, {"start": 2648.46, "end": 2648.9, "word": " distance", "probability": 0.83251953125}, {"start": 2648.9, "end": 2649.08, "word": " أنا", "probability": 0.7392578125}, {"start": 2649.08, "end": 2649.7, "word": " اعتمدت", "probability": 0.95126953125}, {"start": 2649.7, "end": 2650.36, "word": " يا", "probability": 0.853515625}, {"start": 2650.36, "end": 2650.64, "word": " دكتور", "probability": 0.986083984375}, {"start": 2650.64, "end": 2651.28, "word": " ماطبقتش", "probability": 0.7513020833333334}, {"start": 2651.28, "end": 2651.96, "word": " الترديع", "probability": 0.8470458984375}], "temperature": 1.0}, {"id": 97, "seek": 268161, "start": 2653.41, "end": 2681.61, "text": "مافيش مشكلة، معامالنا ذاكرين إنه جماعة الخير بما أنه التربيه يقعد يتطبق نشتغل مع الكل فأنا ممكن أنا أشتغل بسرعة بدون مقلخم حالي وأستخدم قالة الجوال لأول مرة بدي أستخدمها على ال include على المنهاتين الناس اللي اشتغلت على المنهاتين مااختلفتش كتير الآن تلاتة أربعة زائد صفر وأربعة زائد تلاتة", "tokens": [15042, 41185, 8592, 37893, 28820, 3660, 12399, 20449, 10943, 6027, 8315, 29910, 995, 37983, 9957, 36145, 3224, 10874, 15042, 27884, 33962, 13546, 4724, 15042, 14739, 3224, 16712, 2288, 21292, 3224, 7251, 4587, 22488, 7251, 2655, 9566, 3555, 4587, 8717, 8592, 2655, 17082, 1211, 20449, 2423, 28820, 6156, 10721, 8315, 3714, 43020, 41850, 5551, 8592, 2655, 17082, 1211, 4724, 3794, 2288, 27884, 47525, 11536, 3714, 4587, 1211, 9778, 2304, 11331, 6027, 1829, 36725, 14851, 9778, 40448, 12174, 6027, 3660, 25724, 2407, 6027, 5296, 10721, 12610, 3714, 25720, 4724, 16254, 5551, 14851, 9778, 40448, 11296, 15844, 2423, 4090, 15844, 9673, 1863, 3224, 9307, 9957, 2423, 8315, 3794, 13672, 1829, 1975, 8592, 2655, 17082, 1211, 2655, 15844, 9673, 1863, 3224, 9307, 9957, 19446, 47283, 2655, 46538, 2655, 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3028.94, "word": " X22", "probability": 0.847900390625}, {"start": 3028.94, "end": 3028.94, "word": " و", "probability": 0.95556640625}, {"start": 3028.94, "end": 3028.94, "word": " X22", "probability": 0.84033203125}, {"start": 3028.94, "end": 3028.94, "word": " و", "probability": 0.95654296875}, {"start": 3028.94, "end": 3028.94, "word": " X22", "probability": 0.83837890625}, {"start": 3028.94, "end": 3028.94, "word": " و", "probability": 0.955078125}, {"start": 3028.94, "end": 3029.48, "word": " X22", "probability": 0.837890625}, {"start": 3029.48, "end": 3029.48, "word": " و", "probability": 0.95751953125}, {"start": 3029.48, "end": 3029.48, "word": " X22", "probability": 0.828125}, {"start": 3029.48, "end": 3029.48, "word": " و", "probability": 0.96240234375}, {"start": 3029.48, "end": 3030.2, "word": " X22", "probability": 0.8251953125}], "temperature": 1.0}, {"id": 110, "seek": 305853, "start": 3030.41, "end": 3058.53, "text": "لما يكون في عندي nominal attribute او Boolean attribute ال distance هتزيد بصفر او بواحد بناء على ايش هل ال value هذي equal او not equal true يعني ال instance اللي انا بدي اقرأها الان كانت هنا عندي تلاتة و سبعة و false و D", "tokens": [1211, 15042, 7251, 30544, 8978, 6225, 1863, 16254, 41641, 19667, 1975, 2407, 23351, 28499, 19667, 2423, 4560, 8032, 2655, 11622, 25708, 4724, 9381, 5172, 2288, 1975, 2407, 4724, 14407, 24401, 44945, 16606, 15844, 1975, 1829, 8592, 8032, 1211, 2423, 2158, 8032, 8848, 1829, 2681, 1975, 2407, 406, 2681, 2074, 37495, 22653, 2423, 5197, 13672, 1829, 1975, 8315, 4724, 16254, 1975, 4587, 2288, 10721, 11296, 2423, 7649, 25961, 2655, 34105, 18871, 16254, 6055, 1211, 9307, 3660, 4032, 8608, 3555, 27884, 4032, 7908, 4032, 413], "avg_logprob": -0.29241070293244864, "compression_ratio": 1.5555555555555556, "no_speech_prob": 0.0, "words": [{"start": 3030.41, "end": 3030.73, "word": "لما", "probability": 0.76171875}, {"start": 3030.73, "end": 3030.93, "word": " يكون", "probability": 0.9033203125}, {"start": 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{"start": 3038.03, "end": 3038.67, "word": " بواحد", "probability": 0.96875}, {"start": 3038.67, "end": 3039.71, "word": " بناء", "probability": 0.8623046875}, {"start": 3039.71, "end": 3039.87, "word": " على", "probability": 0.481201171875}, {"start": 3039.87, "end": 3040.31, "word": " ايش", "probability": 0.81298828125}, {"start": 3040.31, "end": 3040.79, "word": " هل", "probability": 0.68603515625}, {"start": 3040.79, "end": 3040.91, "word": " ال", "probability": 0.9501953125}, {"start": 3040.91, "end": 3041.17, "word": " value", "probability": 0.98193359375}, {"start": 3041.17, "end": 3041.45, "word": " هذي", "probability": 0.5498046875}, {"start": 3041.45, "end": 3041.91, "word": " equal", "probability": 0.91845703125}, {"start": 3041.91, "end": 3043.01, "word": " او", "probability": 0.7347412109375}, {"start": 3043.01, "end": 3043.23, "word": " not", "probability": 0.90625}, {"start": 3043.23, "end": 3043.71, "word": " equal", "probability": 0.90283203125}, {"start": 3043.71, "end": 3046.25, "word": " true", "probability": 0.64453125}, {"start": 3046.25, "end": 3046.95, "word": " يعني", "probability": 0.90185546875}, {"start": 3046.95, "end": 3047.09, "word": " ال", "probability": 0.62451171875}, {"start": 3047.09, "end": 3047.61, "word": " instance", "probability": 0.79248046875}, {"start": 3047.61, "end": 3047.83, "word": " اللي", "probability": 0.90576171875}, {"start": 3047.83, "end": 3047.97, "word": " انا", "probability": 0.757080078125}, {"start": 3047.97, "end": 3048.19, "word": " بدي", "probability": 0.629150390625}, {"start": 3048.19, "end": 3048.63, "word": " اقرأها", "probability": 0.8841796875}, {"start": 3048.63, "end": 3049.03, "word": " الان", "probability": 0.57794189453125}, {"start": 3049.03, "end": 3049.69, "word": " كانت", "probability": 0.97412109375}, {"start": 3049.69, "end": 3049.83, "word": " هنا", "probability": 0.49072265625}, {"start": 3049.83, "end": 3050.23, "word": " عندي", "probability": 0.800537109375}, {"start": 3050.23, "end": 3051.77, "word": " تلاتة", "probability": 0.875244140625}, {"start": 3051.77, "end": 3053.59, "word": " و", "probability": 0.8798828125}, {"start": 3053.59, "end": 3054.11, "word": " سبعة", "probability": 0.8792317708333334}, {"start": 3054.11, "end": 3055.45, "word": " و", "probability": 0.484130859375}, {"start": 3055.45, "end": 3055.91, "word": " false", "probability": 0.6904296875}, {"start": 3055.91, "end": 3058.31, "word": " و", "probability": 0.92578125}, {"start": 3058.31, "end": 3058.53, "word": " D", "probability": 0.61962890625}], "temperature": 1.0}, {"id": 111, "seek": 308995, "start": 3061.61, "end": 3089.95, "text": "الان المسافة اللي بحسبها هي ل ال instance الأولى الان سبعة ناقص سبعة تربيع زائد سبعة ناقص تلاتة تربيع زائد واحد في حالة التساوي صفر في حالة الاختلاف", "tokens": [6027, 7649, 9673, 3794, 31845, 3660, 13672, 1829, 4724, 5016, 35457, 11296, 39896, 5296, 2423, 5197, 16247, 12610, 7578, 2423, 7649, 8608, 3555, 27884, 8717, 995, 4587, 9381, 8608, 3555, 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3080.61, "end": 3081.31, "word": " تربيع", "probability": 0.967041015625}, {"start": 3081.31, "end": 3082.89, "word": " زائد", "probability": 0.9754231770833334}, {"start": 3082.89, "end": 3086.53, "word": " واحد", "probability": 0.968017578125}, {"start": 3086.53, "end": 3086.69, "word": " في", "probability": 0.955078125}, {"start": 3086.69, "end": 3087.01, "word": " حالة", "probability": 0.9910481770833334}, {"start": 3087.01, "end": 3087.73, "word": " التساوي", "probability": 0.97900390625}, {"start": 3087.73, "end": 3088.77, "word": " صفر", "probability": 0.939453125}, {"start": 3088.77, "end": 3088.95, "word": " في", "probability": 0.984375}, {"start": 3088.95, "end": 3089.25, "word": " حالة", "probability": 0.99169921875}, {"start": 3089.25, "end": 3089.95, "word": " الاختلاف", "probability": 0.860986328125}], "temperature": 1.0}, {"id": 112, "seek": 311821, "start": 3091.73, "end": 3118.21, "text": "صفر زائد صفر في الحالة التانية مع ال instance التانية أربعة ناقص سبعة تربيع زائد سبعة ناقص تلاتة تربيع زائد false و false واحد دي و دي واحد", "tokens": [9381, 5172, 2288, 30767, 16373, 3215, 20328, 5172, 2288, 8978, 21542, 6027, 3660, 16712, 7649, 10632, 20449, 2423, 5197, 16712, 7649, 10632, 5551, 25513, 27884, 8717, 995, 4587, 9381, 8608, 3555, 27884, 6055, 2288, 21292, 3615, 30767, 16373, 3215, 8608, 3555, 27884, 8717, 995, 4587, 9381, 6055, 1211, 9307, 3660, 6055, 2288, 21292, 3615, 30767, 16373, 3215, 7908, 4032, 7908, 36764, 24401, 11778, 1829, 4032, 11778, 1829, 36764, 24401], "avg_logprob": -0.12198660927159445, "compression_ratio": 1.7651515151515151, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 3091.73, "end": 3092.33, "word": "صفر", "probability": 0.6906331380208334}, {"start": 3092.33, "end": 3094.09, "word": " زائد", "probability": 0.719482421875}, {"start": 3094.09, "end": 3094.59, "word": " صفر", "probability": 0.97998046875}, {"start": 3094.59, "end": 3096.19, "word": " في", "probability": 0.80615234375}, {"start": 3096.19, "end": 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{"start": 3105.69, "end": 3106.33, "word": " ناقص", "probability": 0.989501953125}, {"start": 3106.33, "end": 3107.61, "word": " تلاتة", "probability": 0.9541015625}, {"start": 3107.61, "end": 3108.19, "word": " تربيع", "probability": 0.962890625}, {"start": 3108.19, "end": 3108.89, "word": " زائد", "probability": 0.9777018229166666}, {"start": 3108.89, "end": 3111.85, "word": " false", "probability": 0.74072265625}, {"start": 3111.85, "end": 3112.05, "word": " و", "probability": 0.9482421875}, {"start": 3112.05, "end": 3112.49, "word": " false", "probability": 0.81396484375}, {"start": 3112.49, "end": 3113.79, "word": " واحد", "probability": 0.93359375}, {"start": 3113.79, "end": 3116.13, "word": " دي", "probability": 0.787841796875}, {"start": 3116.13, "end": 3116.31, "word": " و", "probability": 0.97314453125}, {"start": 3116.31, "end": 3116.79, "word": " دي", "probability": 0.880615234375}, {"start": 3116.79, "end": 3118.21, "word": " واحد", "probability": 0.98828125}], "temperature": 1.0}, {"id": 113, "seek": 314227, "start": 3119.55, "end": 3142.27, "text": "وبالتالي صار موضوع الـ String اللي هندي أو لو كانت الـ Nominal Data أو Boolean Data مافيش داعي أرجع لل preprocessing مافيش داعي أرجع لل preprocessing بالعكس أنا ممكن أكمل بكل بساطة بتصير الآن similar or dissimilar لأنه فعلاً هل هي نفس القيمة ولا قيمة مختلفة؟", "tokens": [37746, 6027, 2655, 6027, 1829, 20328, 9640, 3714, 2407, 11242, 45367, 2423, 39184, 745, 2937, 13672, 1829, 8032, 1863, 16254, 34051, 45164, 25961, 2655, 2423, 39184, 31272, 2071, 11888, 34051, 3286, 4812, 282, 11888, 19446, 41185, 8592, 11778, 45761, 1829, 5551, 47341, 3615, 24976, 2666, 340, 780, 278, 19446, 41185, 8592, 11778, 45761, 1829, 5551, 47341, 3615, 24976, 2666, 340, 780, 278, 20666, 3615, 4117, 3794, 41850, 3714, 43020, 5551, 24793, 1211, 4724, 28820, 4724, 3794, 41193, 3660, 39894, 9381, 13546, 6024, 48506, 2531, 420, 7802, 332, 2202, 5296, 33456, 3224, 6156, 3615, 15040, 14111, 8032, 1211, 39896, 8717, 36178, 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"start": 3983.36, "end": 4007.48, "text": "هو شغال بذاته هو كسول بدوش يبني بقولك لما بتيجي تعمل instance بعملك الحسبة و بديكي اياه و خلاصنا بديش ابني model واحتفظ فيه اللي هي لأ لأ هذا ال algorithm من ال deterministic algorithm يعني لو دوفرتله نفس ال data set", "tokens": [3224, 2407, 13412, 17082, 6027, 4724, 8848, 9307, 3224, 31439, 9122, 3794, 12610, 47525, 2407, 8592, 7251, 3555, 22653, 4724, 39648, 4117, 5296, 15042, 4724, 31371, 7435, 1829, 6055, 25957, 1211, 5197, 4724, 25957, 23275, 21542, 35457, 3660, 4032, 4724, 16254, 4117, 1829, 1975, 25528, 3224, 4032, 16490, 1211, 33546, 8315, 4724, 16254, 8592, 48127, 22653, 2316, 36764, 33753, 5172, 19913, 8978, 3224, 13672, 1829, 39896, 5296, 10721, 5296, 10721, 23758, 2423, 9284, 9154, 2423, 15957, 3142, 9284, 37495, 22653, 45164, 11778, 38688, 43500, 43761, 8717, 36178, 2423, 1412, 992], "avg_logprob": -0.23986951007947818, "compression_ratio": 1.566820276497696, "no_speech_prob": 0.0, "words": [{"start": 3983.36, "end": 3983.58, 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"probability": 0.858154296875}, {"start": 4032.29, "end": 4032.41, "word": " أنا", "probability": 0.671875}, {"start": 4032.41, "end": 4032.67, "word": " بديت", "probability": 0.702880859375}, {"start": 4032.67, "end": 4033.49, "word": " فيه،", "probability": 0.80810546875}, {"start": 4033.49, "end": 4034.01, "word": " الآن", "probability": 0.80126953125}, {"start": 4034.01, "end": 4034.49, "word": " هل", "probability": 0.758544921875}, {"start": 4034.49, "end": 4034.65, "word": " هو", "probability": 0.99560546875}, {"start": 4034.65, "end": 4034.97, "word": " أفضل", "probability": 0.966796875}, {"start": 4034.97, "end": 4035.51, "word": " algorithm؟", "probability": 0.762939453125}, {"start": 4035.51, "end": 4035.75, "word": " لأ", "probability": 0.74072265625}], "temperature": 1.0}, {"id": 146, "seek": 406533, "start": 4036.57, "end": 4065.33, "text": "الان بس أنا بالنسبة لي تجربة شخصية في الدكتوراه كان ال algorithm هذا هو قوق النجاة تبعي قارنته بال support vector machine وقارنته بال neural network كان أداءه أقل منهم على الرغم من هي كان اختيار ان هذا ال algorithm هو الأكثر مناسبة انا بأشتغل في dynamic environment بعمل computation على الجوال وبالتالي يستحيل موضوع ال learning ان ابني model كل ما تتغير ال environment", "tokens": [6027, 7649, 4724, 3794, 41850, 20666, 1863, 35457, 3660, 32239, 6055, 7435, 25513, 3660, 13412, 9778, 9381, 10632, 8978, 32748, 4117, 2655, 13063, 40294, 25961, 2423, 9284, 23758, 31439, 12174, 30543, 28239, 7435, 995, 3660, 6055, 3555, 3615, 1829, 12174, 9640, 29399, 3224, 20666, 1406, 8062, 3479, 4032, 4587, 9640, 29399, 3224, 20666, 18161, 3209, 25961, 5551, 3215, 16606, 3224, 5551, 4587, 1211, 9154, 16095, 15844, 34892, 17082, 2304, 9154, 39896, 25961, 1975, 9778, 31371, 9640, 16472, 23758, 2423, 9284, 31439, 16247, 4117, 49115, 3714, 8315, 35457, 3660, 1975, 8315, 4724, 10721, 8592, 2655, 17082, 1211, 8978, 8546, 2823, 4724, 25957, 1211, 24903, 15844, 25724, 2407, 6027, 46599, 6027, 2655, 6027, 1829, 7251, 14851, 5016, 26895, 3714, 2407, 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مش بحاجة في كل ما تتغير عوامل البيئة أروح أبني model جديد فكان هو فعليا أوق النجاح زي ما قلتلك بالنسبة لي من تجربة فهذا لا يعني أنه سيء", "tokens": [20498, 4587, 9640, 49401, 2423, 39184, 5725, 374, 2551, 5296, 39184, 1734, 1807, 12640, 11778, 2655, 22653, 11331, 2407, 6027, 1829, 23399, 4, 2423, 39184, 1406, 8062, 3479, 32748, 22653, 995, 3714, 4587, 9640, 49401, 5296, 11296, 37037, 15730, 32748, 2288, 5016, 32748, 22653, 995, 30849, 4, 6156, 3555, 6027, 11242, 3555, 9566, 6156, 9381, 43500, 23758, 37893, 6156, 9640, 4587, 8978, 3714, 4587, 16758, 1211, 14739, 3224, 23758, 4724, 1829, 8592, 2655, 17082, 1211, 20449, 2423, 39184, 8546, 2823, 5296, 33456, 3224, 41850, 37893, 4724, 5016, 26108, 3660, 8978, 28242, 19446, 6055, 2655, 17082, 13546, 6225, 2407, 10943, 1211, 2423, 21292, 19986, 3660, 5551, 32887, 5016, 5551, 3555, 22653, 2316, 10874, 16254, 3215, 6156, 41361, 31439, 6156, 3615, 20292, 995, 34051, 4587, 28239, 7435, 39319, 30767, 1829, 19446, 12174, 1211, 2655, 23275, 20666, 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"probability": 0.68701171875}, {"start": 4366.61, "end": 4367.41, "word": " مافيش", "probability": 0.7181803385416666}, {"start": 4367.41, "end": 4367.55, "word": " ال", "probability": 0.6923828125}, {"start": 4367.55, "end": 4368.61, "word": " predictions", "probability": 0.6044921875}, {"start": 4368.61, "end": 4368.75, "word": " يا", "probability": 0.818359375}, {"start": 4368.75, "end": 4369.11, "word": " شباب", "probability": 0.9900716145833334}], "temperature": 1.0}, {"id": 158, "seek": 439496, "start": 4369.88, "end": 4394.96, "text": "هي عبارة عن الـ Ray من خمس عناصر تمام؟ إيش فيها؟ فيها الـ shortest distances ال distances أقصر مسافات مش أنا بقوله دور على ال shortest five neighbors فجابلي أقصر خمس مسافات هذا ال role أول في ال array ال road تاني عبارة عن ال Ray", "tokens": [3224, 1829, 6225, 3555, 9640, 3660, 18871, 2423, 39184, 10883, 9154, 16490, 2304, 3794, 18871, 33546, 2288, 46811, 10943, 22807, 11933, 1829, 8592, 8978, 11296, 22807, 8978, 11296, 2423, 39184, 31875, 22182, 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4373.34, "word": " خمس", "probability": 0.8878580729166666}, {"start": 4373.34, "end": 4373.98, "word": " عناصر", "probability": 0.9817708333333334}, {"start": 4373.98, "end": 4376.3, "word": " تمام؟", "probability": 0.80810546875}, {"start": 4376.3, "end": 4376.78, "word": " إيش", "probability": 0.7518717447916666}, {"start": 4376.78, "end": 4377.9, "word": " فيها؟", "probability": 0.9807942708333334}, {"start": 4377.9, "end": 4378.24, "word": " فيها", "probability": 0.97021484375}, {"start": 4378.24, "end": 4378.42, "word": " الـ", "probability": 0.630615234375}, {"start": 4378.42, "end": 4378.96, "word": " shortest", "probability": 0.64794921875}, {"start": 4378.96, "end": 4379.9, "word": " distances", "probability": 0.89697265625}, {"start": 4379.9, "end": 4382.66, "word": " ال", "probability": 0.426513671875}, {"start": 4382.66, "end": 4383.58, "word": " distances", "probability": 0.1798095703125}, {"start": 4383.58, "end": 4384.28, "word": " أقصر", "probability": 0.9056396484375}, {"start": 4384.28, "end": 4384.88, "word": " مسافات", "probability": 0.9892578125}, {"start": 4384.88, "end": 4385.42, "word": " مش", "probability": 0.93701171875}, {"start": 4385.42, "end": 4385.56, "word": " أنا", "probability": 0.88671875}, {"start": 4385.56, "end": 4385.86, "word": " بقوله", "probability": 0.9267578125}, {"start": 4385.86, "end": 4386.14, "word": " دور", "probability": 0.747802734375}, {"start": 4386.14, "end": 4386.34, "word": " على", "probability": 0.8056640625}, {"start": 4386.34, "end": 4386.48, "word": " ال", "probability": 0.77099609375}, {"start": 4386.48, "end": 4386.88, "word": " shortest", "probability": 0.75048828125}, {"start": 4386.88, "end": 4387.4, "word": " five", "probability": 0.88037109375}, {"start": 4387.4, "end": 4387.88, "word": " neighbors", "probability": 0.63623046875}, {"start": 4387.88, "end": 4389.58, "word": " فجابلي", "probability": 0.9434814453125}, {"start": 4389.58, "end": 4389.92, "word": " أقصر", "probability": 0.9935302734375}, {"start": 4389.92, "end": 4390.22, "word": " خمس", "probability": 0.9773763020833334}, {"start": 4390.22, "end": 4390.82, "word": " مسافات", "probability": 0.9938151041666666}, {"start": 4390.82, "end": 4391.44, "word": " هذا", "probability": 0.61279296875}, {"start": 4391.44, "end": 4391.58, "word": " ال", "probability": 0.970703125}, {"start": 4391.58, "end": 4391.72, "word": " role", "probability": 0.4384765625}, {"start": 4391.72, "end": 4392.04, "word": " أول", "probability": 0.941650390625}, {"start": 4392.04, "end": 4392.16, "word": " في", "probability": 0.98486328125}, {"start": 4392.16, "end": 4392.26, "word": " ال", "probability": 0.9833984375}, {"start": 4392.26, "end": 4392.52, "word": " array", "probability": 0.5048828125}, {"start": 4392.52, "end": 4393.1, "word": " ال", "probability": 0.96435546875}, {"start": 4393.1, "end": 4393.4, "word": " road", "probability": 0.53759765625}, {"start": 4393.4, "end": 4393.78, "word": " تاني", "probability": 0.89794921875}, {"start": 4393.78, "end": 4394.36, "word": " عبارة", "probability": 0.997314453125}, {"start": 4394.36, "end": 4394.52, "word": " عن", "probability": 0.9951171875}, {"start": 4394.52, "end": 4394.74, "word": " ال", "probability": 0.96875}, {"start": 4394.74, "end": 4394.96, "word": " Ray", "probability": 0.52783203125}], "temperature": 1.0}, {"id": 159, "seek": 441591, "start": 4396.09, "end": 4415.91, "text": "في ال index تبعت ال instances أصحاب أقصر مسافات بضل عليك تاخد ال index هدول و تروح تجيب ال label تبعتهم عشان إيش تعمل بينهما voting وتاخد القيمة اللي موجودة الله يعطيكوا العافية و بشوفكوا ان شاء الله لسبوع القادم", "tokens": [41185, 2423, 8186, 6055, 3555, 34268, 2423, 14519, 5551, 9381, 5016, 16758, 5551, 4587, 9381, 2288, 47524, 31845, 9307, 4724, 11242, 1211, 25894, 4117, 6055, 47283, 3215, 2423, 8186, 8032, 3215, 12610, 4032, 6055, 32887, 5016, 6055, 7435, 1829, 3555, 2423, 7645, 6055, 3555, 34268, 16095, 6225, 8592, 7649, 11933, 1829, 8592, 6055, 25957, 1211, 49374, 3224, 15042, 10419, 34683, 47283, 3215, 25062, 32640, 3660, 13672, 1829, 3714, 29245, 23328, 3660, 21984, 37495, 9566, 1829, 4117, 14407, 18863, 31845, 10632, 4032, 4724, 8592, 38688, 4117, 14407, 16472, 13412, 16606, 21984, 5296, 35457, 45367, 25062, 18513, 2304], "avg_logprob": -0.1528672729570841, "compression_ratio": 1.658878504672897, "no_speech_prob": 0.00838470458984375, "words": [{"start": 4396.09, "end": 4396.39, "word": "في", "probability": 0.6884765625}, {"start": 4396.39, "end": 4396.65, "word": " ال", "probability": 0.6640625}, {"start": 4396.65, "end": 4397.17, "word": " index", "probability": 0.64892578125}, {"start": 4397.17, "end": 4397.65, "word": " تبعت", "probability": 0.8186848958333334}, {"start": 4397.65, "end": 4398.01, "word": " ال", "probability": 0.9306640625}, {"start": 4398.01, "end": 4398.75, "word": " instances", "probability": 0.994140625}, {"start": 4398.75, "end": 4399.65, "word": " أصحاب", "probability": 0.90478515625}, {"start": 4399.65, "end": 4400.25, "word": " أقصر", "probability": 0.9669189453125}, {"start": 4400.25, "end": 4401.97, "word": " مسافات", "probability": 0.96630859375}, {"start": 4401.97, "end": 4402.47, "word": " بضل", "probability": 0.5701497395833334}, {"start": 4402.47, "end": 4403.05, "word": " عليك", "probability": 0.96533203125}, {"start": 4403.05, "end": 4403.85, "word": " تاخد", "probability": 0.9529622395833334}, {"start": 4403.85, "end": 4403.95, "word": " ال", "probability": 0.97607421875}, {"start": 4403.95, "end": 4404.25, "word": " index", "probability": 0.85791015625}, {"start": 4404.25, "end": 4404.81, "word": " هدول", "probability": 0.8548177083333334}, {"start": 4404.81, "end": 4405.43, "word": " و", "probability": 0.61962890625}, {"start": 4405.43, "end": 4405.77, "word": " تروح", "probability": 0.98974609375}, {"start": 4405.77, "end": 4406.15, "word": " تجيب", "probability": 0.9931640625}, {"start": 4406.15, "end": 4406.25, "word": " ال", "probability": 0.95068359375}, {"start": 4406.25, "end": 4406.61, "word": " label", "probability": 0.982421875}, {"start": 4406.61, "end": 4407.21, "word": " تبعتهم", "probability": 0.97509765625}, {"start": 4407.21, "end": 4407.53, "word": " عشان", "probability": 0.9742838541666666}, {"start": 4407.53, "end": 4407.81, "word": " إيش", "probability": 0.82080078125}, {"start": 4407.81, "end": 4409.21, "word": " تعمل", "probability": 0.92626953125}, {"start": 4409.21, "end": 4409.65, "word": " بينهما", "probability": 0.7859700520833334}, {"start": 4409.65, "end": 4410.03, "word": " voting", "probability": 0.953125}, {"start": 4410.03, "end": 4410.79, "word": " وتاخد", "probability": 0.8468424479166666}, {"start": 4410.79, "end": 4411.79, "word": " القيمة", "probability": 0.9736328125}, {"start": 4411.79, "end": 4412.05, "word": " اللي", "probability": 0.9326171875}, {"start": 4412.05, "end": 4412.69, "word": " موجودة", "probability": 0.9881591796875}, {"start": 4412.69, "end": 4413.29, "word": " الله", "probability": 0.86083984375}, {"start": 4413.29, "end": 4413.51, "word": " يعطيكوا", "probability": 0.760498046875}, {"start": 4413.51, "end": 4413.83, "word": " العافية", "probability": 0.8448893229166666}, {"start": 4413.83, "end": 4413.93, "word": " و", "probability": 0.62646484375}, {"start": 4413.93, "end": 4414.27, "word": " بشوفكوا", "probability": 0.956640625}, {"start": 4414.27, "end": 4414.37, "word": " ان", "probability": 0.63623046875}, {"start": 4414.37, "end": 4414.55, "word": " شاء", "probability": 0.982177734375}, {"start": 4414.55, "end": 4414.65, "word": " الله", "probability": 0.94873046875}, {"start": 4414.65, "end": 4415.49, "word": " لسبوع", "probability": 0.627685546875}, {"start": 4415.49, "end": 4415.91, "word": " القادم", "probability": 0.8997395833333334}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4416.272875, "duration_after_vad": 4172.901249999986}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..16b052b30a976ae9735d9d3f044a8e75fe275905
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XT1mhqzo-E4_raw.srt
@@ -0,0 +1,3336 @@
+1
+00:00:05,040 --> 00:00:07,160
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,160 --> 00:00:11,860
+أهلا وسهلا فيكم يا شباب في محاضرتنا الثانية في
+
+3
+00:00:11,860 --> 00:00:16,180
+موضوع ال classification كنا حكينا في المحاضرة
+
+4
+00:00:16,180 --> 00:00:20,100
+الماضية أن موضوع ال classification هي عبارة عن
+
+5
+00:00:20,100 --> 00:00:26,320
+تحديد عضوية المجموعات المعروفةعلى سبيل المثال لو
+
+6
+00:00:26,320 --> 00:00:31,920
+قلت أنا بدي .. في عندى تلك مجموعات طلاب .. في عندى
+
+7
+00:00:31,920 --> 00:00:35,340
+تلك مجموعات للطلاب مجموعات الامتياز و مجموعات
+
+8
+00:00:35,340 --> 00:00:41,180
+الجيد جدا و مجموعة الجيد الآن و جينا قولنا و الله
+
+9
+00:00:41,180 --> 00:00:46,940
+في عندنا سين من الناس او سين من الطلاب الآن سين من
+
+10
+00:00:46,940 --> 00:00:51,180
+الطلاب هذا لازم يصنف او لازم ينتمي لوحدة من
+
+11
+00:00:51,180 --> 00:00:56,530
+المجموعات التلاتة بناء علىعلى ايش؟ على معدله و لا
+
+12
+00:00:56,530 --> 00:01:01,030
+لأ على المعدل ان كان شرطنا ان المعدلات هذه معروفة
+
+13
+00:01:01,030 --> 00:01:06,790
+تبعا لمستوهم او تحصيلهم العلمى لان هذه التصنيف
+
+14
+00:01:06,790 --> 00:01:09,670
+لاحظ ان انا ماليش سلطة كتيرة على المجموعات
+
+15
+00:01:09,670 --> 00:01:13,570
+المجموعات already predefinedالان بدي أحاول أعرف
+
+16
+00:01:13,570 --> 00:01:16,690
+خصائص كل مجموعة، شو .. شو معدلات الامتياز أو شو
+
+17
+00:01:16,690 --> 00:01:20,010
+خصائص الأشخاص أصحاب الامتياز، خصائص المجموعة
+
+18
+00:01:20,010 --> 00:01:23,470
+الأولى، شو خصائص المجموعة التانية، شو خصائص
+
+19
+00:01:23,470 --> 00:01:26,670
+المجموعة التالتة، وسيم من الطلاب هذا اللي هي ال
+
+20
+00:01:26,670 --> 00:01:29,070
+instance اللي عندي اللي أنا بدي أضيفه لمجموعة من
+
+21
+00:01:29,070 --> 00:01:33,050
+المجموعات التلاتة، بدي أشوف إيش الخصائص اللي عنده،
+
+22
+00:01:33,050 --> 00:01:36,770
+و بتتقاطع مع أي خصائص من المجموعات التلاتة وبناء
+
+23
+00:01:36,770 --> 00:01:40,600
+عليه هيكده أنا بقىبقى صنفه للمجموعة اللي عندنا
+
+24
+00:01:40,600 --> 00:01:43,680
+وكنا اتكلمنا في ال learning ال machine learning
+
+25
+00:01:43,680 --> 00:01:47,340
+كون تقنيكس بشكل عام فيها supervised و unsupervised
+
+26
+00:01:47,340 --> 00:01:50,920
+تبع هل الإنسان متدخل ولا غير متدخل في الموضوع
+
+27
+00:01:50,920 --> 00:01:54,420
+وقولنا ان موضوع ال learning كمان incrementally هل
+
+28
+00:01:54,420 --> 00:01:58,760
+هو batch ولاonline وقلنا كمان في عندي model based
+
+29
+00:01:58,760 --> 00:02:03,120
+ولا instance based بناء هل ال algorithm هذا المخرج
+
+30
+00:02:03,120 --> 00:02:06,040
+تبع ال algorithm ال machine learning هديني model
+
+31
+00:02:06,040 --> 00:02:10,540
+ولا مش هديني model قلنا في الآخر بكل الأحوال انا
+
+32
+00:02:10,540 --> 00:02:14,220
+عندي خيوطين في اي عملية classification ال model
+
+33
+00:02:14,220 --> 00:02:18,860
+construction كيف انا بدي اكون في عندي function لما
+
+34
+00:02:18,860 --> 00:02:24,810
+انا اديهاالـ object تروح تصنف ليه تحت المصنفات
+
+35
+00:02:24,810 --> 00:02:29,110
+المعروفة مسبقًا و ال model usage كيف أنا بدي
+
+36
+00:02:29,110 --> 00:02:33,190
+استخدم ال model الموجود هنا و قولنا عادة أنا بأجسم
+
+37
+00:02:33,190 --> 00:02:36,390
+ال data set تبعتي ل training set و testing set
+
+38
+00:02:36,390 --> 00:02:39,550
+عشان أعمل evaluation و من أهم ال concept اللي لازم
+
+39
+00:02:39,550 --> 00:02:43,190
+أنا أعرفه ال accuracy و هي المقدار أو ال ratio تبع
+
+40
+00:02:43,190 --> 00:02:46,760
+ال correct predictionالـ Correct Classification
+
+41
+00:02:46,760 --> 00:02:50,360
+على كل الـ instances اللي عملها Classification
+
+42
+00:02:50,360 --> 00:02:54,240
+وقلنا لـ Speed و Robustness جدّيشبو يدّيني result
+
+43
+00:02:54,240 --> 00:02:58,640
+صحيحة مع وجود ال noise data ال scalability و ال
+
+44
+00:02:58,640 --> 00:03:01,860
+interpretability حكينا عليهم و كان المفروض اليوم
+
+45
+00:03:01,860 --> 00:03:06,420
+ان شاء الله تعالى نبدأ مع ال algorithms و نشوف كيف
+
+46
+00:03:06,420 --> 00:03:08,720
+ال algorithm قاعدة بتشتغل مع العناصر اللي موجودة
+
+47
+00:03:08,720 --> 00:03:13,570
+عندى او في ال classification و اول algorithmبيشتغل
+
+48
+00:03:13,570 --> 00:03:17,670
+او هنتكلم عليه الـ K nearest neighbor الان K
+
+49
+00:03:17,670 --> 00:03:21,410
+nearest neighbor شو يعني nearest neighbor في الأول
+
+50
+00:03:21,410 --> 00:03:27,710
+أقرب جار اقرب جار لو انا اجيت اسمك هاني هاني بدي
+
+51
+00:03:27,710 --> 00:03:32,410
+اعرف هاني كويس
+
+52
+00:03:32,410 --> 00:03:37,490
+ايش ممكن اروح اسوي اروح اطبق مين اصحاب هاني مين
+
+53
+00:03:37,490 --> 00:03:45,200
+اصحاب هاني المقربين وبناء عليهبنقول إنه هاني صفاته
+
+54
+00:03:45,200 --> 00:03:49,840
+بصفات الناس اللي أنا بعرفهم من مين من أصحابه أو من
+
+55
+00:03:49,840 --> 00:03:53,380
+جيرانه Can your neighbor يعني أنا بدي أحطلهم عدد
+
+56
+00:03:53,380 --> 00:03:57,450
+من أقرب اتنين لهاني من أقرب تلاتة من أقرب خمسةو
+
+57
+00:03:57,450 --> 00:04:01,150
+هنتكلم ليش الكيه هذي و إيش أهميتها النايف بيسيان
+
+58
+00:04:01,150 --> 00:04:04,270
+هو أنا بعتمد على probability decision tree هنتشوف
+
+59
+00:04:04,270 --> 00:04:07,930
+كيف ممكن أنا أبني decision بناء على العناصر هي و
+
+60
+00:04:07,930 --> 00:04:11,230
+بعدين ننتقل لباقي propagate ال neural network نبدأ
+
+61
+00:04:11,230 --> 00:04:15,010
+مع ال kenyer's neighbor ال kenyer's neighbor هو
+
+62
+00:04:15,010 --> 00:04:19,850
+عبارة عن instance based learning التصنيف الأخير
+
+63
+00:04:19,850 --> 00:04:23,610
+خالص لما قلت إنه هل ال algorithm تبعي بيبنيلي
+
+64
+00:04:23,610 --> 00:04:28,020
+model ولا ماببديليش model بيديني value مباشرةالـ
+
+65
+00:04:28,020 --> 00:04:30,780
+Canary Snapper من الـ algorithm اللي ما بتعطيني
+
+66
+00:04:30,780 --> 00:04:37,020
+model بتعطيني نتيجة .. بتعطيني نتيجة وبالتالي it
+
+67
+00:04:37,020 --> 00:04:40,460
+doesn't use any model to fit .. مابتبنيش model
+
+68
+00:04:40,460 --> 00:04:47,060
+مطلقا .. it's only based on memory فقط بتعتمد على
+
+69
+00:04:47,060 --> 00:04:51,040
+الذاكرة .. ليش الذاكرة؟ انه فعليا عملية حساب كلها
+
+70
+00:04:51,040 --> 00:04:55,460
+تبتصيرفي ال memory و كل ما كانت ال memory أكبر لأن
+
+71
+00:04:55,460 --> 00:05:01,100
+ال data set أكبر بكون أنسب ال k-nearest neighbor ك
+
+72
+00:05:01,100 --> 00:05:04,240
+classification algorithm بتديني نتيجة او نتيجة
+
+73
+00:05:04,240 --> 00:05:13,400
+تبعته أو ال class بناء على ال majority أو الأغلبية
+
+74
+00:05:13,400 --> 00:05:22,400
+في جيران العنصر هذا لو انا اجيت قلت في عندىمجموعة
+
+75
+00:05:22,400 --> 00:05:23,020
+من الأشخاص
+
+76
+00:05:50,980 --> 00:05:56,060
+قلنا أخونا هذا أو صاحبنا هذا بدنا نحطه لمجموعة من
+
+77
+00:05:56,060 --> 00:06:02,460
+المجموعتين شو بدنا نسوي ال
+
+78
+00:06:02,460 --> 00:06:06,160
+K-nearest neighbor algorithm أو ال KNN algorithm
+
+79
+00:06:06,160 --> 00:06:13,880
+بشتغل كالتالي بقول احسب الفرق ما بين العنصر هذا و
+
+80
+00:06:13,880 --> 00:06:21,380
+كل العناصر اللي موجودة يعني حد اقارن اناالعنصر هذا
+
+81
+00:06:21,380 --> 00:06:26,160
+مع هذا و مع هذا و مع هذا و مع هذا و مع هذا و مع
+
+82
+00:06:26,160 --> 00:06:31,520
+هذا ك instance ك object بغض النظر عن طريقة
+
+83
+00:06:31,520 --> 00:06:39,420
+المقارنة و اقارنه كمان مع
+
+84
+00:06:39,420 --> 00:06:45,340
+كل الأشخاص هدول لاحظ ان انا ضمنت كل ال data set
+
+85
+00:06:45,340 --> 00:06:49,950
+اللي موجودة عندىأصبت؟ يعني إذا كانت هدول هم ال
+
+86
+00:06:49,950 --> 00:06:53,110
+data set في ال two classes فانا ضمنت كل ال data
+
+87
+00:06:53,110 --> 00:06:57,810
+set الانشوف بيروح بيقوللي ال key nearest neighbor
+
+88
+00:06:57,810 --> 00:07:03,950
+مين أقرب ناس كانوا لإله أقرب ناس كانوا لإله أقرب
+
+89
+00:07:03,950 --> 00:07:07,570
+تلاتة
+
+90
+00:07:07,570 --> 00:07:14,810
+هيهم
+
+91
+00:07:22,800 --> 00:07:30,980
+مصبوط؟ أقرب تلاتة هدول للناس فهو هينتمي لنفس
+
+92
+00:07:30,980 --> 00:07:35,920
+المجموعة اللي فيها غالبية ال closest neighbors
+
+93
+00:07:35,920 --> 00:07:42,080
+هدول إيش الغالبية هان؟ أزرق فأخونا هذا بينضم لمين؟
+
+94
+00:07:42,080 --> 00:07:47,290
+للأزرق بناء على مبدأالـ Voting للمجارة أو حسبة
+
+95
+00:07:47,290 --> 00:07:51,450
+المجارة أو الأغلبية تبعت الأشخاص أو تبعت العناصر
+
+96
+00:07:51,450 --> 00:07:56,650
+الموجودة عنده يعني يا إيهاب تأخذ وقت كتير أكيد او
+
+97
+00:07:56,650 --> 00:07:59,230
+تشوف ال media مثلا من الجهة الأولى و ال media
+
+98
+00:07:59,230 --> 00:08:11,730
+التانية و تشوف من أقرب درجة اه بس الآن هاي
+
+99
+00:08:11,730 --> 00:08:12,690
+ال center صح؟
+
+100
+00:08:19,480 --> 00:08:24,340
+و هي ال center تبعت المجموعة التانية اذا انا هنا
+
+101
+00:08:24,340 --> 00:08:34,140
+او بلاش اذا انا هنا المسافة لل center اكبر من
+
+102
+00:08:34,140 --> 00:08:43,980
+المسافة لل center بينما كعناصر انا اقرب لهنا نعم
+
+103
+00:08:43,980 --> 00:08:47,120
+خليها
+
+104
+00:08:49,960 --> 00:08:52,440
+و نشوف مين أبعد واحد من انا ترقبى يعنى مش انه
+
+105
+00:08:52,440 --> 00:08:57,660
+مقارنة كذلك بس مهمش انا الان كريم .. كريم بيحمل
+
+106
+00:08:57,660 --> 00:09:05,180
+صفات صاحبه القريب منه اللي دائما ملازم له مش على
+
+107
+00:09:05,180 --> 00:09:09,340
+اللي بعيد ولا لا؟ يعني زي النقطة احنا بنعمل زي ال
+
+108
+00:09:09,340 --> 00:09:15,460
+cut ل ال picture اللي بدنا و الجرافة ده طيب ديني
+
+109
+00:09:15,460 --> 00:09:18,060
+كلام سيبني من ال dimension معين عشان .. ديني كلام
+
+110
+00:09:18,060 --> 00:09:22,820
+أبسط عشان انا في الدرافة مجدطيب طبعا عندنا كتير
+
+111
+00:09:22,820 --> 00:09:26,580
+يعني مثلا عندنا مية ألف تمام والنقطة اللي بدنا
+
+112
+00:09:26,580 --> 00:09:30,920
+نعرفها فانهي وفانهي وواحدة ضابط حوالي مثلا متين اه
+
+113
+00:09:36,820 --> 00:09:39,300
+طب ماهي .. مهمش .. بقى انت الرسم ال .. الوجد اللي
+
+114
+00:09:39,300 --> 00:09:42,600
+انت أخدته في رسم العناصر هو عبارة عن computation
+
+115
+00:09:42,600 --> 00:09:46,720
+لما روحت جبت المتين .. لأ لما انت روحت جبت المتين
+
+116
+00:09:46,720 --> 00:09:50,240
+و حطيت النقطة هاي بينهم انت already عملت ال
+
+117
+00:09:50,240 --> 00:09:53,040
+computation كلهيتها عشان تقدر تجيبهم في نفس النقطة
+
+118
+00:09:53,040 --> 00:09:57,960
+بقعة على الرسم ولا كيف ان حطت النقطة هذه أبعد من
+
+119
+00:09:57,960 --> 00:10:01,760
+هذه بالمسافة هاي بالتحديد و هذه أبعد بل برضه انت
+
+120
+00:10:01,760 --> 00:10:03,580
+عملت هنا قران بالمثل
+
+121
+00:10:06,130 --> 00:10:10,230
+كيف حددت الـ 200 ألف ان هدول هم الأقرب؟ الـ 200؟
+
+122
+00:10:10,230 --> 00:10:12,610
+اه او الـ 200 عنصر هدول .. كيف انت حددتهم ان هدول
+
+123
+00:10:12,610 --> 00:10:16,750
+الأقرب؟ كيف عرفت الـ position تبعتها ان هدول الـ
+
+124
+00:10:16,750 --> 00:10:22,730
+200 هم الأقرب لإلها؟ فعليا لفت عليهم كلهم؟ مصبوط؟
+
+125
+00:10:22,730 --> 00:10:25,850
+و لا أنا غلطان انت الآن كمان مرة انا عندي 100 ألف
+
+126
+00:10:25,850 --> 00:10:29,710
+عندي
+
+127
+00:10:29,710 --> 00:10:34,010
+100 ألف in instance انت عمالك بتقوللي انا حددت الـ
+
+128
+00:10:34,010 --> 00:10:38,620
+200 نقطة الأقربكيف حددت المتين نقطة الأقرب من
+
+129
+00:10:38,620 --> 00:10:45,000
+الميت ألف مرت عليهم كلهم انت بتقولي انا اعتمدت
+
+130
+00:10:45,000 --> 00:10:47,980
+الرسم ما هو الرسم برضه نفسه لنفس الكلام هو عبارة
+
+131
+00:10:47,980 --> 00:10:50,940
+عن حدد النقاط و جدر يرسم لك اياهم او يعملهم
+
+132
+00:10:50,940 --> 00:10:57,180
+simulation تبع لل distance او قربهم او بعضهم تمام
+
+133
+00:10:57,180 --> 00:11:01,200
+تمام
+
+134
+00:11:05,870 --> 00:11:09,630
+إذا مافيش يعني صفر فقط كم بتزود عشرين ممتاز ممتاز
+
+135
+00:11:09,630 --> 00:11:12,670
+يعني أنت بدأت بشكل random مع عشرة صنطي و هل في
+
+136
+00:11:12,670 --> 00:11:17,070
+عناصر في العشرة صنطي و لا مافيش ماشي الحال و بعد
+
+137
+00:11:17,070 --> 00:11:24,250
+هيك شو روحت سويت زودت المسافة طب إيه أساسا أساسا
+
+138
+00:11:24,250 --> 00:11:28,050
+النقطة تبعتك النقطة تبعتك وين موجودة هتقول اللي
+
+139
+00:11:28,050 --> 00:11:31,790
+موجودة في XY صح
+
+140
+00:11:32,780 --> 00:11:35,880
+أصبت، لأ مش أسهل، انا بتدقق ان انا مش أسهل، هي
+
+141
+00:11:35,880 --> 00:11:43,520
+النقطة، هان عشان تحدد النقاط اللي في القطر عشرة
+
+142
+00:11:43,520 --> 00:11:48,060
+صنطي أو نص قطر عشرة، بدك تمر على كل النقاط عشان
+
+143
+00:11:48,060 --> 00:11:52,060
+تعرف مين النقاط اللي بتجهز من القطر هذا، و تجيبهم
+
+144
+00:11:55,650 --> 00:11:59,390
+مش بعد المحاولة، أنا بضل بتناقش معاك ليش؟ لأنه في
+
+145
+00:11:59,390 --> 00:12:03,450
+الآخر الشغل اللي انت غايب عنك ان ال graph أو الرسم
+
+146
+00:12:03,450 --> 00:12:09,390
+هذا ما إجا إلا غير بعملية حسابية، تمام؟ والعملية
+
+147
+00:12:09,390 --> 00:12:13,230
+الحسابية هي هي نفسها، أنا عمالي بمر على كل العناصر
+
+148
+00:12:13,230 --> 00:12:17,050
+عشان أحدد من الميتين، الآن أنا إيش بعرفني؟ عندي
+
+149
+00:12:17,050 --> 00:12:23,190
+نقطة هيها موجودة هنا، صح؟ هي نقطة، مجموعة ال
+
+150
+00:12:23,190 --> 00:12:28,160
+attributes هدول أو بلاش X وYالنقطة هذه ضمن المحيط
+
+151
+00:12:28,160 --> 00:12:32,020
+وهذه ليست من ضمن المحيط، ماذا أفعل؟ ماذا أفعل؟ بدي
+
+152
+00:12:32,020 --> 00:12:36,240
+أحسب الفرق ما بينه وبين النقطة هذه، مظبوط؟ اللي هي
+
+153
+00:12:36,240 --> 00:12:42,180
+الـ distance حسبت الـ distance، لأ طلعت برة، فانا
+
+154
+00:12:42,180 --> 00:12:48,100
+أتبرة الحسبة هذه، صح؟ هروح على ال X واحد و Y واحد،
+
+155
+00:12:48,100 --> 00:12:53,510
+أه هذه كانت في المنطقة هذهفانت العناصر هذه مش
+
+156
+00:12:53,510 --> 00:12:57,970
+هتقدر تحصر من منهم النقاط الموجودة اللي تمر على كل
+
+157
+00:12:57,970 --> 00:13:03,190
+ال data set صح؟ لما
+
+158
+00:13:03,190 --> 00:13:06,890
+تلاقي طريقة تانية بتعرف نتناقش أنا وياك فيها
+
+159
+00:13:06,890 --> 00:13:13,650
+بالمنطق هذا ال
+
+160
+00:13:13,650 --> 00:13:16,590
+two dimension الرمج جامعي بتعكس الصورة ال data set
+
+161
+00:13:16,590 --> 00:13:17,550
+تبعتك كام attribute
+
+162
+00:13:20,870 --> 00:13:28,570
+ال data set تبعتك كام attributes؟ ال instance
+
+163
+00:13:28,570 --> 00:13:35,210
+تبعتي فيها عشرة attributes بتقدر ترسمها؟
+
+164
+00:13:35,210 --> 00:13:38,190
+على أنه two values اللي موجودة عندي ال point و ال
+
+165
+00:13:38,190 --> 00:13:44,130
+label فقط one attribute و ال label كبعته و العشرة؟
+
+166
+00:13:44,130 --> 00:13:45,510
+العشرة بتقدر ترسمها كيف؟
+
+167
+00:13:48,930 --> 00:13:51,790
+ماشي ماشي قعدة بوريك إياها أكتر ان شاء الله تعالى
+
+168
+00:13:51,790 --> 00:13:57,590
+طيب الآن اللي الرسمة كانت لك توضيح عشان هوصلك
+
+169
+00:13:57,590 --> 00:14:01,510
+مفهوم ال concept تبع الجيران مش أكتر فماصيرش
+
+170
+00:14:01,510 --> 00:14:06,570
+الرسمة هي إيش هي الحل اللي موجود عندك طيب الآن
+
+171
+00:14:06,570 --> 00:14:10,130
+الفكرة كمان مرة بتدور حوالين ال canary's neighbor
+
+172
+00:14:10,130 --> 00:14:15,180
+انه أنا بروح بدور على ال closest objectللنقطة اللي
+
+173
+00:14:15,180 --> 00:14:18,040
+موجودة تبعتي هان لل instance اللي انا فعليا
+
+174
+00:14:18,040 --> 00:14:21,880
+بعرفهاش عشان انا اشوف مين جيرانها او مين الأقرب
+
+175
+00:14:21,880 --> 00:14:27,060
+لها لازم اعمل computation بينها و بين كل ال
+
+176
+00:14:27,060 --> 00:14:31,480
+instances اللي موجودة الان عشان انا اعرف مين اصحاب
+
+177
+00:14:31,480 --> 00:14:37,160
+كريمانت صاحب كريم؟ انت صاحب كريم؟ انت صاحب كريم؟
+
+178
+00:14:37,160 --> 00:14:40,280
+بتعرف كريم؟ بتعرف كريم؟ همر على كل اللي في القاعة
+
+179
+00:14:40,280 --> 00:14:44,660
+عشان أحدد بشكل دقيق كم واحد بيعرف كريم أو كم واحد
+
+180
+00:14:44,660 --> 00:14:48,960
+صحاب كريم، مصبوط؟ وبعد هيك بقرر صفة كريم بناء على
+
+181
+00:14:48,960 --> 00:14:54,060
+أغلبيتهم عشان هيك بروح بدور على ال closest K point
+
+182
+00:14:54,060 --> 00:14:59,480
+الان كمان ال K تبعتي هذه فيها مشكلة الان لما يكون
+
+183
+00:14:59,480 --> 00:15:02,500
+ال label تبعي binary
+
+184
+00:15:07,590 --> 00:15:11,090
+classification شو يعني binary classification؟ just
+
+185
+00:15:11,090 --> 00:15:22,450
+عندي two labels positive و negative أجل
+
+186
+00:15:22,450 --> 00:15:28,110
+عدد K عشان اتكلم علي majority بينهم جداش أجل عدد K
+
+187
+00:15:28,110 --> 00:15:34,610
+عشان اقدر اش ال majority اش الأغلبيةأكتر من النص،
+
+188
+00:15:34,610 --> 00:15:40,370
+50% مش أغلبية، تعادل، مظبوط، بدك أكتر من النص،
+
+189
+00:15:40,370 --> 00:15:44,710
+يعني زي ما نتكلم as integer values من 100، 51
+
+190
+00:15:44,710 --> 00:15:48,610
+value من 100، هيك بكون أتكلم عن أغلبية، فأقل
+
+191
+00:15:48,610 --> 00:15:53,250
+أغلبية هي، مظبوط؟ وابقاش الكل ممكن تحقق الأغلبية
+
+192
+00:15:53,250 --> 00:15:58,630
+عندي، في حالة two أقل classification، binary
+
+193
+00:15:58,630 --> 00:16:09,310
+classificationK على 2 زائد 1 K على 2 زائد 1 إيش
+
+194
+00:16:09,310 --> 00:16:19,330
+يعني؟ وين الخمسين؟ شو يا K أنا قاعد بقولك الآن لما
+
+195
+00:16:19,330 --> 00:16:22,990
+أنا بدي أجيب عدد الجيران إيش عدد الجيران اللي أنا
+
+196
+00:16:22,990 --> 00:16:27,830
+بدي أهتم فيها عشان أتكلم على ال majority الحي أو
+
+197
+00:16:27,830 --> 00:16:32,680
+أصحاب كريم الآن اللي موجودينخمسين، كل اللقاعة
+
+198
+00:16:32,680 --> 00:16:35,600
+بقولك احنا أصحاب كريم، ماشي الحال، بدي ال closest
+
+199
+00:16:35,600 --> 00:16:43,060
+أقل عدتهم جداش، أقل K، عشان فعليا لما أنا أجي
+
+200
+00:16:43,060 --> 00:16:47,680
+أقارن كريم بينهم، يكون في voting ما بينهم، يكون في
+
+201
+00:16:47,680 --> 00:16:53,560
+أغلبية، تلاتة، ليش تلاتة؟إتنين و واحد هاي ال key
+
+202
+00:16:53,560 --> 00:16:56,100
+اللي أنا بدور عليها يا جماعة الخير أنا الآن بقول
+
+203
+00:16:56,100 --> 00:16:59,860
+عدد العناصر الموجودة زي ما رسمته في الرسم هان عشان
+
+204
+00:16:59,860 --> 00:17:04,760
+أقدر أعمل مقارنة و أروح باتجاه الأغلبية لازم يكون
+
+205
+00:17:04,760 --> 00:17:09,320
+في عندي عدد محدد الآن بما أنه أنا في عندي two
+
+206
+00:17:09,320 --> 00:17:13,300
+labels فقط بينفعش أقول ال key تبعتي equal اتنين
+
+207
+00:17:13,300 --> 00:17:17,840
+لأنه مافيش فيها voting لأنه مافيش فيها قرار ممكن
+
+208
+00:17:17,840 --> 00:17:21,390
+يصير خمسين و لو قلت ال key تبعتي واحدبرضه مافيش
+
+209
+00:17:21,390 --> 00:17:27,150
+فيها voting بروح بسمته بسمة أقرب point له خلصنا طب
+
+210
+00:17:27,150 --> 00:17:33,010
+هد ماهي لو كانت ال point هد noise point نجلته بعيد
+
+211
+00:17:33,010 --> 00:17:38,270
+مين جالك انت شيلت كل ال noise point مين جالك انك
+
+212
+00:17:38,270 --> 00:17:41,470
+انت خلصت منهم كلهم انت خلصت من اللي قدرت تحددها من
+
+213
+00:17:41,470 --> 00:17:46,490
+اللي قدرت تشوفهامصبوط لكن الان فعليا point هي
+
+214
+00:17:46,490 --> 00:17:49,090
+بعيدة نوعا ما فيها بعض ال noisy لكن ال noisy
+
+215
+00:17:49,090 --> 00:17:53,850
+بالنسبالك مش واضحة فشو هتسوي فيه هتاخدوا لإلها
+
+216
+00:17:53,850 --> 00:17:59,870
+الآن الفكرة اذا
+
+217
+00:17:59,870 --> 00:18:03,650
+كنت انا بتكلم على اتنين فاتنين زائد واحد عشان اقدر
+
+218
+00:18:03,650 --> 00:18:08,570
+اعمل فيهم voting طب لو كانوا three classes اربعة
+
+219
+00:18:08,570 --> 00:18:15,930
+طب ما هم الأربعة ممكن يكونوااتنين اتنين او ال
+
+220
+00:18:15,930 --> 00:18:19,210
+class التالت وينه مش موجود و برضه ماجدتش اعمل
+
+221
+00:18:19,210 --> 00:18:21,910
+voting الفكرة اللي انا بده اقولها يا جماعة الخير
+
+222
+00:18:21,910 --> 00:18:28,030
+دائما حاول تخلي العدد تبعك فردي و كبره شوية عشان
+
+223
+00:18:28,030 --> 00:18:32,590
+تقدر تعمل voting صح او عشان يصير في عندك فرصة لل
+
+224
+00:18:32,590 --> 00:18:36,430
+voting أكبر يعني مثلا في ال three classes أربعة is
+
+225
+00:18:36,430 --> 00:18:43,650
+not enough و خمسة غالبا is not enoughسبعة ممكن
+
+226
+00:18:43,650 --> 00:18:46,230
+تكون fair بس برضه ممكن أجع في مشكلة اتنين اتنين
+
+227
+00:18:46,230 --> 00:18:51,450
+واحد قوللي طب في حالة .. خد تمانية التمانية و
+
+228
+00:18:51,450 --> 00:18:54,910
+التلاتة يعني بين جثين إذا كان عدد ال classes فردي
+
+229
+00:18:54,910 --> 00:19:03,050
+خد عدد ال key تبعتك عدد زوجي و أكبر من ضعف الرقم
+
+230
+00:19:03,050 --> 00:19:06,350
+هذا عشان إيش تقدر تعمل بينهم voting على الأقل
+
+231
+00:19:06,350 --> 00:19:10,910
+بتضمن إن في class منهم أكبر أو صار فيه المجارية
+
+232
+00:19:10,910 --> 00:19:15,850
+أكتر من التانيفي المقابل، لو كانوا الآن العدد الـK
+
+233
+00:19:15,850 --> 00:19:20,870
+تبعتي أو عدد ال classes تبعتي زوجي، تمام؟ خد عدد
+
+234
+00:19:20,870 --> 00:19:25,270
+فردي أكبر من ضعفه، كمان مرة هذا الكلام مش قرآن،
+
+235
+00:19:25,270 --> 00:19:28,630
+هذا مجرد نصيحة عشان تقدر تاخد K و تضمن فيها
+
+236
+00:19:28,630 --> 00:19:32,210
+voting، اللي أنا بقوله كالتالي، لو كان عدد ال
+
+237
+00:19:32,210 --> 00:19:38,370
+classes عندي تلاتة، ضعفهم ستة، تمام؟ فبدي أخد
+
+238
+00:19:38,370 --> 00:19:42,660
+سبعة، أو أنا بقولك خد تمانيةخُد الـ K تبعتك تمانية
+
+239
+00:19:42,660 --> 00:19:47,320
+هنا الـ A لو الـ three classes دول بدهم يتوزعوا
+
+240
+00:19:47,320 --> 00:19:51,500
+إيش الاحتمالات يكونوا موجودين؟ التمانية كلهم لنفس
+
+241
+00:19:51,500 --> 00:19:55,500
+ال class وهذا بيعملت ال prediction تبعتي صحيحة 100
+
+242
+00:19:55,500 --> 00:20:00,660
+% تمام؟
+
+243
+00:20:00,660 --> 00:20:08,770
+أربعة أو أربعة أو أربعة ل classو 2 و 2 برضه ال
+
+244
+00:20:08,770 --> 00:20:12,230
+majority لاحظ انا بتكلم على ال .. لاحظ صرت أتكلم
+
+245
+00:20:12,230 --> 00:20:16,090
+على الأغلبية مجسمين على عدد العناصر بطلة الأغلبية
+
+246
+00:20:16,090 --> 00:20:22,390
+50% صار قداش هو ال top rank ده اللي هنسميه طيب بس
+
+247
+00:20:22,390 --> 00:20:27,970
+برضه ممكن أجع في مشكلة تلاتة تلاتة اتنين عشان هيك
+
+248
+00:20:27,970 --> 00:20:29,970
+بقولك الكلام اللي أنا بقوله أو النصيحة اللي أنا
+
+249
+00:20:29,970 --> 00:20:34,840
+جاعت بقولها مش أساس مهي مجردبدأ ترضي على مبدأ
+
+250
+00:20:34,840 --> 00:20:39,720
+التجربة والخطأ أو التجربة والقياس لحد ما تصل كيه
+
+251
+00:20:39,720 --> 00:20:43,700
+مناسبة بالنسبة لك والكيه المناسبة هذه ممكن تختلف
+
+252
+00:20:43,700 --> 00:20:47,400
+في domain تاني ليش؟ لأنه فعليا هذه واحدة من ال
+
+253
+00:20:47,400 --> 00:20:51,020
+challenge الخاصة او من المشاكل الموجودة مع ال k
+
+254
+00:20:51,020 --> 00:20:54,300
+-nearest neighbor اي جران قداش عدد الجران اللي انا
+
+255
+00:20:54,300 --> 00:21:00,100
+اعتمد فيهم زي ما قلنا سابقا طيب الآنبما أنه انا
+
+256
+00:21:00,100 --> 00:21:03,560
+بتحاول .. بتحاول أشوف ال K اللي بتتناسب مع عملية
+
+257
+00:21:03,560 --> 00:21:08,540
+ال voting زي ما قلتلك حاول تكبرها شوية وخلف بينها
+
+258
+00:21:08,540 --> 00:21:13,320
+وبين عدد عناصر ال element يعني لو كان زوجي أو فردي
+
+259
+00:21:13,320 --> 00:21:19,740
+إلى آخره عفوا ال
+
+260
+00:21:19,740 --> 00:21:24,540
+main concept أنا فيه عندي unseen instance unseen
+
+261
+00:21:24,540 --> 00:21:29,610
+instance X اللي قطعت ال puzzle هايوفي عندي .. في
+
+262
+00:21:29,610 --> 00:21:39,050
+عندي two classes suns و moons شموس وقمار وبيسألني
+
+263
+00:21:39,050 --> 00:21:44,250
+خيارة البصر هذه هتكون قمر ولا شمس لأن هي موجودة
+
+264
+00:21:44,250 --> 00:21:49,470
+هنا في الرسمة بناء على الرسمة إذا كانت ال key
+
+265
+00:21:49,470 --> 00:21:50,570
+تبعتي هنا أربعة
+
+266
+00:21:53,580 --> 00:21:56,780
+هيصير في عندي اتنين و اتنين اذا اختارت ال K أربعة
+
+267
+00:21:56,780 --> 00:22:01,160
+اتنين و اتنين مش هقدر اعمل voting لكن لو روحت لل K
+
+268
+00:22:01,160 --> 00:22:08,360
+equal 11 دائرة البلون الأزرق هصار في عندي أربعة و
+
+269
+00:22:08,360 --> 00:22:14,400
+سبعة ال majority ال majority لمين؟ للمون وبالتالي
+
+270
+00:22:14,400 --> 00:22:18,540
+هاي ال instance هذه عبارة عن قمر
+
+271
+00:22:22,570 --> 00:22:26,470
+النصيحة to avoid any noisy data او أي نصيحة نصيحة
+
+272
+00:22:26,470 --> 00:22:29,550
+نصيحة نصيحة تستخدم more than one neighbor ماتشتغلش
+
+273
+00:22:29,550 --> 00:22:33,350
+على one neighbor ودائما زي ما قلتلك حاول اختار عدد
+
+274
+00:22:33,350 --> 00:22:36,190
+اللي له علاقة بعدد ال classes بحيث ان يكون في عندك
+
+275
+00:22:36,190 --> 00:22:41,010
+estimation لو بسيطة كيف تفرق ما بين ال classes
+
+276
+00:22:41,010 --> 00:22:44,310
+اللي موجودة و تقدر تعمل مجارتي مين عنده ال data
+
+277
+00:22:44,310 --> 00:22:47,050
+set تبعد ال classification اكتر من ال two classes
+
+278
+00:22:47,050 --> 00:22:55,140
+الان معظمكم كمجموعات اشتغلتوا في data setsال data
+
+279
+00:22:55,140 --> 00:22:58,940
+set اللي لها علاقة بال classification مين عنده
+
+280
+00:22:58,940 --> 00:23:03,240
+data set ال label تبعتها اكتر من two classes طب
+
+281
+00:23:03,240 --> 00:23:07,280
+مين عنده binary ال classification مجموعة واحدة فقط
+
+282
+00:23:07,280 --> 00:23:13,100
+اللي عارفش اللي عندها والباقي والباقي ماحدش عارفش
+
+283
+00:23:13,100 --> 00:23:16,440
+اللي سلمه مجرد جرينا data for classification
+
+284
+00:23:16,440 --> 00:23:23,020
+ورفعناها وخلصنا كان الله بالسر علينا الان
+
+285
+00:23:23,850 --> 00:23:28,830
+بما ان كل ال instances اللي عندي موجودة في ال N D
+
+286
+00:23:28,830 --> 00:23:32,830
+Space بين
+
+287
+00:23:32,830 --> 00:23:35,870
+جثين ال N هي عبارة عن عدد ال attributes اللي
+
+288
+00:23:35,870 --> 00:23:39,550
+موجودة في ال data set اللي ممكن تكون واحد وممكن
+
+289
+00:23:39,550 --> 00:23:42,890
+تكون اتنين وممكن تكون تلاتة وممكن تكون عشرة وممكن
+
+290
+00:23:42,890 --> 00:23:50,700
+تكون مية وممكن تكون الف اه الف attributes اهالـ
+
+291
+00:23:50,700 --> 00:23:54,220
+datasets اللي لها علاقة بالصور والألف attributes
+
+292
+00:23:54,220 --> 00:23:59,520
+قليل كمان يعني هو عبارة عن بيكسلز الآن لو اتكلمت
+
+293
+00:23:59,520 --> 00:24:02,160
+على صورة مية في مية بيكسلز جدش ال resolution
+
+294
+00:24:02,160 --> 00:24:07,340
+تبعتها عالية لأ صورة صغيرة جدا صح؟ هذه لحالها عشان
+
+295
+00:24:07,340 --> 00:24:15,700
+تفردها هي عشر تلاف attributes وليش رأي كرامي؟بس،
+
+296
+00:24:15,700 --> 00:24:17,900
+هذه بس انت تتكلمنا على عشر تلاف attributes على
+
+297
+00:24:17,900 --> 00:24:22,480
+صورة صغيرة تيك تتخيلي الصورة full HD جداش عدد ال
+
+298
+00:24:22,480 --> 00:24:27,820
+attributes تبعتها طيب، الآن طبعا في حالة إذا كل
+
+299
+00:24:27,820 --> 00:24:33,420
+pixel مثلت attribute ال kennerist neighbor بدور أو
+
+300
+00:24:33,420 --> 00:24:36,900
+باعتمد على أو عرف إن الشخص اسمه similarity
+
+301
+00:24:36,900 --> 00:24:43,170
+function شو يعني similarity؟ تشابهأو تقابق بين ال
+
+302
+00:24:43,170 --> 00:24:47,650
+instances اللي موجودة سابقًا أنا كنت بقولك مين
+
+303
+00:24:47,650 --> 00:24:53,750
+أقرب الناس لفلان لو أنا إجيت قولتلك في ال one D شو
+
+304
+00:24:53,750 --> 00:25:03,130
+يعني one D؟ one attribute انا عندي عشرة وعندي خمسة
+
+305
+00:25:03,130 --> 00:25:08,890
+وعندي سبعة العشرة
+
+306
+00:25:08,890 --> 00:25:14,030
+أقرب لمين؟بناءً على إيش أنت حسبتها هي كده؟ غررت أن
+
+307
+00:25:14,030 --> 00:25:19,390
+هي أقرب على السابعة لأن الفرق بين العشرة والسبعة
+
+308
+00:25:19,390 --> 00:25:24,530
+أقل من الفرق بين العشرة والخمسة وبالتالي العشرة
+
+309
+00:25:24,530 --> 00:25:30,910
+أقرب للسبعة بين جثين العشرة والسبعة more similar
+
+310
+00:25:30,910 --> 00:25:34,470
+than العشرة والخمسة.ولّا شو رايكوا؟ يعني أقرب
+
+311
+00:25:34,470 --> 00:25:38,650
+تشابه مع بعض أكتر لكل ما جربت من الرقم بكون أنا
+
+312
+00:25:38,650 --> 00:25:43,330
+مشابه إله تمام؟يعني احنا في الآخر عملنا عشرة ناقص
+
+313
+00:25:43,330 --> 00:25:53,270
+خمسة و عشرة ناقص سبعة لو كانت ال data ست اللي أنا
+
+314
+00:25:53,270 --> 00:25:57,850
+بتكلم عليها في ال 2D عشرة
+
+315
+00:25:57,850 --> 00:26:01,850
+و اتنين خمسة
+
+316
+00:26:01,850 --> 00:26:09,670
+و تلاتة سبعة و واحد كيف بدك تشوف تفحص ال
+
+317
+00:26:09,670 --> 00:26:16,000
+similarity ما بينهمالـ X ناقص الـ X والـ Y ناقص
+
+318
+00:26:16,000 --> 00:26:22,760
+الـ Y تحت الجذر بدأت الآن تبدأ تتكلم .. انت ملاحظ
+
+319
+00:26:22,760 --> 00:26:26,980
+بتتكلم على distance في الآخر على مسافة لكن لما أنا
+
+320
+00:26:26,980 --> 00:26:35,040
+بتكلم في الـ 2D يا كريم أي نقطين في الـ 2D هيهم
+
+321
+00:26:35,040 --> 00:26:40,100
+بتكلم على distance بينهم أيش ال distance هي بتمثل؟
+
+322
+00:26:42,700 --> 00:26:46,380
+الفرق بين النقطين بس في كلام أبسط بالنسبة لما
+
+323
+00:26:46,380 --> 00:26:51,180
+الفرق بين النقطين هدول ال distance هاي بتمثل الوتر
+
+324
+00:26:51,180 --> 00:27:00,720
+في مثلث قائم الزاوية اذا شو رايكوا التغير على ال Y
+
+325
+00:27:00,720 --> 00:27:16,230
+هي Y2-Y1 الارتفاع وال base تبعتي المثلثX2 نقص X1 و
+
+326
+00:27:16,230 --> 00:27:23,110
+لا لأ المسافة اللي هان طول الضلع في المثلث قائم
+
+327
+00:27:23,110 --> 00:27:31,110
+الزاوية شو بتساوي X2 نقص X1 تربيع زائد Y2 نقص 1
+
+328
+00:27:31,110 --> 00:27:36,910
+تربيع تحت الجذر قانون في ثغورس، مصبوط؟ و بالتالي
+
+329
+00:27:36,910 --> 00:27:40,110
+انا عند ال equilibrium distance هيها
+
+330
+00:27:43,080 --> 00:27:47,060
+إذا أنا حصلت على ال distance لو كان في عنده التلات
+
+331
+00:27:47,060 --> 00:27:52,540
+نقاط معناته
+
+332
+00:27:52,540 --> 00:27:58,500
+أنا في عنده مثلث مختلف هنا ولا
+
+333
+00:27:58,500 --> 00:28:06,760
+لأ؟ وهذه المسافة اللي أنا بدي إياها إذا
+
+334
+00:28:06,760 --> 00:28:15,300
+كانت D2 أصغر من D1 فالنقطين أقرب لبعضتمام؟ طب في
+
+335
+00:28:15,300 --> 00:28:19,140
+الـ 3D عشرة
+
+336
+00:28:19,140 --> 00:28:26,760
+و اتنين و سبعة خمسة و تلاتة و واحد سبعة و واحد و
+
+337
+00:28:26,760 --> 00:28:35,920
+تلاتة شو بدك تساوي؟ نفس الفكرة، بس إيش أساوي؟ ضيف
+
+338
+00:28:35,920 --> 00:28:42,770
+تحت الجذر تربيع الفرق ما بين Z واحد و Z اتنينيعني
+
+339
+00:28:42,770 --> 00:28:45,870
+بين النقطة الأولى و النقطة التالية طب لو كان تندي
+
+340
+00:28:45,870 --> 00:28:51,110
+عشرة attributes ليش ال off؟ ماحنا عاملا متفقين إنه
+
+341
+00:28:51,110 --> 00:28:55,850
+ممكن يكون فيه عشرة attributes نفس الكلام فبنتكلم
+
+342
+00:28:55,850 --> 00:29:01,970
+احنا على summation تحت الجدر لمجموعة للفرق ما بين
+
+343
+00:29:01,970 --> 00:29:06,810
+عدد ال attributes اللي موجودة عندهان الفرق ما بين
+
+344
+00:29:06,810 --> 00:29:09,610
+قيم ال attributes اللي موجودة عندهان وبالتالي هذي
+
+345
+00:29:09,610 --> 00:29:13,550
+بنسميها ال Eclidean distanceلو كان انا فيه عندي
+
+346
+00:29:13,550 --> 00:29:21,710
+two points X وY two different points ال
+
+347
+00:29:21,710 --> 00:29:27,270
+dimensionality تبعتهم N الفرق
+
+348
+00:29:27,270 --> 00:29:35,770
+بين النقطين هدول يساوي الجدر التربيعي لمجموعة XI
+
+349
+00:29:35,770 --> 00:29:41,570
+ناقص وYI تربيع تحت الجدر والـ I بدها تساوي من واحد
+
+350
+00:29:42,250 --> 00:30:02,970
+لأن وبالتالي أنا بتتكلم فعليا على الفروقات هذا
+
+351
+00:30:02,970 --> 00:30:08,710
+ال equilibrium distance بشكل عام بما أنه أنا قاعد
+
+352
+00:30:08,710 --> 00:30:13,970
+بربع القيموبأخد الجذر، لو قيّرت الجذر من معدلتي،
+
+353
+00:30:13,970 --> 00:30:18,370
+لو قيّرت الجذر من معدلتي، شو بيصير؟ بتصير القيمة
+
+354
+00:30:18,370 --> 00:30:22,890
+أكبر، بس مش أكتر، ولا لأ، بس فعليًا القيمة الأكبر
+
+355
+00:30:22,890 --> 00:30:27,950
+تحت الجذر، هتكون هي القيمة الأكبر بعد الجذر، بس
+
+356
+00:30:27,950 --> 00:30:31,170
+الـscale اختلف، مصبوط؟ فبعض الناس إيش بتروح
+
+357
+00:30:31,170 --> 00:30:35,670
+متساوي؟ تستغنى عن الجذر التربيعي، وبما إن التربيع
+
+358
+00:30:35,670 --> 00:30:41,160
+بيعطيني قيمة موجبة،فقال لك احنا في Manhattan
+
+359
+00:30:41,160 --> 00:30:45,960
+distance قال لك ليش ما اتكلم على مجموع ال absolute
+
+360
+00:30:45,960 --> 00:30:50,060
+او الفروقات مجموع الفروقات بين النقاط لو انا اجيت
+
+361
+00:30:50,060 --> 00:30:55,080
+سألتك كريم و هاني هاني قداش الفرق بينك وبين كريم
+
+362
+00:30:55,080 --> 00:31:00,820
+في المعدل هقول 5 لأ ماسألتش قداش معدلك قداش الفرق
+
+363
+00:31:00,820 --> 00:31:06,850
+بينك وبين كريم في المعدل قال 5%لو روحت سألة كريم
+
+364
+00:31:06,850 --> 00:31:11,730
+كريم جدتش الفرق بينك وبين هاني في المعدل؟ 5% لاحظ
+
+365
+00:31:11,730 --> 00:31:14,510
+أنا مافرجتش معايا مين أعلى من التاني لأن في
+
+366
+00:31:14,510 --> 00:31:17,670
+الحالتين ال distance .. بتكلم distance و ال
+
+367
+00:31:17,670 --> 00:31:20,810
+distance لن تكون بال negative فال distance دائما
+
+368
+00:31:20,810 --> 00:31:24,430
+موجب فجالك أنا من المنهات ال distance جالك أنا
+
+369
+00:31:24,430 --> 00:31:29,010
+بروح بأشتغل باعتمد على ال absolute value للفرق ما
+
+370
+00:31:29,010 --> 00:31:33,810
+بين ال attributes values و بجمعهم وبهيك حصلت على
+
+371
+00:31:33,810 --> 00:31:39,050
+نفس ال conceptsبس فعليا .. فعليا بتفرق ال distance
+
+372
+00:31:39,050 --> 00:31:44,910
+الرسمة هاي بتوضح الفرق الفعلي ما بين ال Manhattan
+
+373
+00:31:44,910 --> 00:31:51,330
+و ال Eclidean ال Eclidean طبعا هاي النقطين X1 و X2
+
+374
+00:31:51,330 --> 00:31:59,510
+2 و 8 .. 3 أو 6 و 3 رسمناهم الآن قلنا الخط الأخضر
+
+375
+00:31:59,510 --> 00:32:05,400
+هذا هو عبارة عن ال Eclidean distanceبينما الـ
+
+376
+00:32:05,400 --> 00:32:08,860
+Manhattan في الأكثر من مسار فكرة الـ Manhattan
+
+377
+00:32:08,860 --> 00:32:12,880
+distance أنه دائما أنا بمشي في خطوط مستقيمة
+
+378
+00:32:12,880 --> 00:32:18,020
+متعامدة على بعضها بمشي على خطوط متعامدة بينما ال
+
+379
+00:32:18,020 --> 00:32:23,380
+Euclidean أخدت القطر، مصبوط؟ الآن الخطوط .. الخط
+
+380
+00:32:23,380 --> 00:32:29,320
+الأحمر هذا هو عبارة عن مثل الـ Manhattan distance
+
+381
+00:32:29,320 --> 00:32:35,850
+الخط الأصفر هذا كذلكعبّر عن الـ Manhattan distance
+
+382
+00:32:35,850 --> 00:32:41,430
+و نفس الـ value لو انت حسبت واحدة اتنين تلاتة
+
+383
+00:32:41,430 --> 00:32:47,710
+اربعة خمسة و واحدة اتنين تلاتة اربعة تسعة واحدة
+
+384
+00:32:47,710 --> 00:32:52,710
+اتنين تلاتة اربعة خمسة ستة سبعة تمانية تسعة ك
+
+385
+00:32:52,710 --> 00:32:56,970
+units فال Manhattan distance هي فعلياً هتلاقي فيه
+
+386
+00:32:56,970 --> 00:33:01,800
+implementation يستحيلتجي تتكلم على انك تطبق الـ
+
+387
+00:33:01,800 --> 00:33:05,720
+Euclidean distance مثال جالك سيارة بدها تتحرك ما
+
+388
+00:33:05,720 --> 00:33:09,760
+بين النقطين هدول ضمن مدينة هي خلقتها تقول والله
+
+389
+00:33:09,760 --> 00:33:14,160
+انا بدأ أخش من البيوت اللي هنا مافيش مجال السيارة
+
+390
+00:33:14,160 --> 00:33:16,860
+فيها لها طرق مواضحة بدها تنشي عليها وبالتالي الـ
+
+391
+00:33:16,860 --> 00:33:20,440
+Manhattan distance هي الأنسب بالنسبة لإلك في
+
+392
+00:33:20,440 --> 00:33:24,680
+التعامل الآن
+
+393
+00:33:24,680 --> 00:33:26,860
+ايش المطلوب عشان اطبق الـ Canary Snapper
+
+394
+00:33:31,350 --> 00:33:37,990
+أولاً لازم تحدد ال parameter عدد ال K كم جار اللي
+
+395
+00:33:37,990 --> 00:33:44,670
+بتتكلم عليهم تلاتة، خمسة، سبعة، تمانية، عشرين،
+
+396
+00:33:44,670 --> 00:33:51,510
+سبعة وعشرين لازم تحددهم انت calculate
+
+397
+00:33:51,510 --> 00:33:54,410
+the distance بغض النظر عن ال Manhattan ولا ال
+
+398
+00:33:54,410 --> 00:33:59,590
+Includionبين النقطة الـ query instance اللي هي
+
+399
+00:33:59,590 --> 00:34:03,230
+النقطة اللي انا بدي اصنفها وبين كل النقاط اللي
+
+400
+00:34:03,230 --> 00:34:10,550
+موجودة عندى رتب ال data وهي النقطة رقم تلاتة يا
+
+401
+00:34:10,550 --> 00:34:14,510
+شباب رتب ال data .. رتب ال data مش أساس بالنسبة
+
+402
+00:34:14,510 --> 00:34:19,190
+ليه؟ ليش؟ لأنه في كل بساطة لو كان هم تلت نقاط طب
+
+403
+00:34:19,190 --> 00:34:22,130
+انا بقدر بعناية بميز التلت نقاط و بشوف بعرف مين
+
+404
+00:34:22,130 --> 00:34:25,790
+الأقرب منهم وبقدر اعمل بينهم votingلو كان .. لكن
+
+405
+00:34:25,790 --> 00:34:29,770
+لو كان عدد الـK الـK اللي أنا بستخدمه كبير خمسين
+
+406
+00:34:29,770 --> 00:34:35,530
+.. خمسين مثلا صعب إن أنا أقدر أشوف الخمسين ورا بعض
+
+407
+00:34:35,530 --> 00:34:40,250
+بدون ما أرتبهم ولا لأ؟ فعشان هيك بيجي الترتيب كويس
+
+408
+00:34:40,250 --> 00:34:44,710
+أو مناسب لما بيكون عدد الـK تباعت كبير عشرة و أطلع
+
+409
+00:34:44,710 --> 00:34:48,370
+أقولك خمسة و أطلع خصوصا لما كان .. لما تكون النقاط
+
+410
+00:34:48,370 --> 00:34:51,670
+متباعدة ال data set فيها ألف recordوالـ Most
+
+411
+00:34:51,670 --> 00:34:57,330
+Closest Point كانت الـ Point رقم 100 و الـ Point
+
+412
+00:34:57,330 --> 00:35:04,410
+رقم 170 و الـ Point 370 و الـ Point 470، ضال عندي
+
+413
+00:35:04,410 --> 00:35:09,690
+Point و الـ Point 950، هاي خمس نقاط كيف بدى أشوفهم
+
+414
+00:35:09,690 --> 00:35:13,530
+هدول؟ اللي هضطر أروح أكتبهم على الجانب عشان أعرف
+
+415
+00:35:13,530 --> 00:35:17,150
+إيش ال label تبعتهم، هذا الكلام هنطبقه فعليا أنا
+
+416
+00:35:17,150 --> 00:35:22,680
+شكل عملي لكن لما بيعملني Sorting لهمبصير قادر انا
+
+417
+00:35:22,680 --> 00:35:26,780
+اشوف وين بشوفهم كلهم ورا بعض عشان اتسهل علي عملية
+
+418
+00:35:26,780 --> 00:35:33,120
+ال voting بعد هيك select ال key nearest instances
+
+419
+00:35:33,120 --> 00:35:37,320
+بنقل على ال value اللي حطيها في واحد وفي الآخر
+
+420
+00:35:37,320 --> 00:35:43,380
+بعمل تصويت ما بينهم وبحسب ال majority بحسب ال
+
+421
+00:35:43,380 --> 00:35:47,520
+majority ال example اللي موجود عندي هان انت بقى
+
+422
+00:35:47,520 --> 00:35:48,000
+تشتغله
+
+423
+00:35:51,630 --> 00:35:56,590
+كل تلاتة في جنب بعض اللي هم ورقة واحدة و أسميكوا
+
+424
+00:35:56,590 --> 00:35:59,870
+بدها تنحط على جافة الورقة انتوا تلاتة مع بعض غير
+
+425
+00:35:59,870 --> 00:36:06,210
+شباب اه روح هان تلاتة اهب رجعلي لورا هنا انت لغيت
+
+426
+00:36:06,210 --> 00:36:11,530
+مجموعة ارجع عندهم يلا تشتغلوا
+
+427
+00:36:11,530 --> 00:36:14,090
+اتنين اتنين اتنين اتنين مافيش مشكلة اشتغلوا اتنين
+
+428
+00:36:14,090 --> 00:36:19,450
+اتنين انت لحالك مافيش يروح عنده .. هو عنده كرسي
+
+429
+00:36:19,450 --> 00:36:25,780
+يروح على كرسي اللي عندهعلى جافة الورجة أسميكم على
+
+430
+00:36:25,780 --> 00:36:29,880
+جافة الورجة يا شباب أسميكم كمجموع على جافة الورجة
+
+431
+00:36:29,880 --> 00:36:35,720
+الشغل التاني ابدأ بتصنيف الآن هي عندي الـ new
+
+432
+00:36:35,720 --> 00:36:40,180
+instance وهي ال data set ال data set فيها five
+
+433
+00:36:40,180 --> 00:36:46,120
+instances يا كريم وفي عندي الآن instance x equal 3
+
+434
+00:36:46,120 --> 00:36:53,850
+و x2 equal 7 قل لي .. قل ليالان باعتمادك على اي
+
+435
+00:36:53,850 --> 00:36:57,090
+distance على مانهاتين على ال Euclidean تنتهي حدك
+
+436
+00:36:57,090 --> 00:37:00,350
+نفس النتيجة اشتغل على ال Euclidean distance تمام؟
+
+437
+00:37:00,350 --> 00:37:07,710
+ايش ال class تبع ال instance هاي؟ الان بديك تشتغل
+
+438
+00:37:07,710 --> 00:37:11,770
+على ال canaries equal واحد وعلى ال canaries equal
+
+439
+00:37:11,770 --> 00:37:20,830
+تلاتة شو من هما التنتين؟ ود المشكلة في الموضوعأنا
+
+440
+00:37:20,830 --> 00:37:24,150
+بقولك اشتغل مرة أول لقطة اشتغل احسب ال distances
+
+441
+00:37:24,150 --> 00:37:27,010
+على السريع يالا القانون
+
+442
+00:38:02,420 --> 00:38:08,360
+جلط وين يا أخو؟ أنا مالي، هي القانون
+
+443
+00:38:27,330 --> 00:38:29,610
+الوقت كالسيف
+
+444
+00:38:40,600 --> 00:38:53,080
+دقيقة .. دقيقة المسألة هتتنحل ..
+
+445
+00:39:00,120 --> 00:39:21,660
+إيه؟ إيه؟ إيه؟
+
+446
+00:39:30,670 --> 00:39:33,870
+بتمنى بس على الناس المبتسمة انها تكون فعليا مبتسمة
+
+447
+00:39:33,870 --> 00:39:38,690
+لإنها عارفة حل مش لإن مش مبتسمة لإنها إيش مش فاهمة
+
+448
+00:39:38,690 --> 00:39:46,610
+حاجة نعم كمل لحالك احنا شرحنا ال algorithm
+
+449
+00:40:14,010 --> 00:40:16,410
+أحنا نسأل على شخصين اللي في العالم اللي ممكن
+
+450
+00:40:16,410 --> 00:40:20,710
+يتعامل معه بالتعامل بالتعامل بالتعامل بالتعامل
+
+451
+00:40:20,710 --> 00:40:21,210
+بالدرس
+
+452
+00:40:25,680 --> 00:40:29,820
+اكتب .. اكتب .. اكتب الجواب ال class تبعت ال
+
+453
+00:40:29,820 --> 00:40:36,160
+instance هي على الورقة في حالة كانت one K K equal
+
+454
+00:40:36,160 --> 00:40:42,680
+one و في حالة ال K equal تلاتة حطوا
+
+455
+00:40:42,680 --> 00:40:47,180
+جواب ماقلنا اعمل مجارتي حدد ال .. ال .. can
+
+456
+00:40:47,180 --> 00:40:50,600
+nearest neighbor و اعمل voting ما بينهم في حالة
+
+457
+00:40:50,600 --> 00:40:53,200
+الواحد مافيش voting هو في حالة التلاتة بقى تعمل
+
+458
+00:40:53,200 --> 00:41:00,320
+votingيلا شباب لما الورق اديني إياه خلصت الخمس
+
+459
+00:41:00,320 --> 00:41:03,380
+دقايق مش دقيقة يا أستاذ وحورجيك إنه هذا بينحل في
+
+460
+00:41:03,380 --> 00:41:12,800
+أقل من دقيقة يلا شباب اديني الورق الله يسعدك اديني
+
+461
+00:41:12,800 --> 00:41:21,700
+الورق يلا شباب واحد
+
+462
+00:41:33,590 --> 00:41:44,490
+كنين ماشي الورق يا شباب إذا
+
+463
+00:41:44,490 --> 00:41:46,870
+اللي وراك لسه ع بحل سيبك منه اديه الورق لجدامك و
+
+464
+00:41:46,870 --> 00:41:48,950
+تاخدش منه خليه يجمهو من مكانه
+
+465
+00:41:53,690 --> 00:42:08,930
+ما تاخدش من حد من ورا ايش
+
+466
+00:42:08,930 --> 00:42:13,610
+المفروض يسوي فيهم هادول؟
+
+467
+00:42:13,610 --> 00:42:17,350
+خلصت؟
+
+468
+00:42:30,080 --> 00:42:35,900
+طيب طيب يا شباب خلاصنا من الصوت خلاصنا تعالى نشوف
+
+469
+00:42:35,900 --> 00:42:39,500
+جداش فعليا انت تلت عقول او اربعة اشتغلت احيانا او
+
+470
+00:42:39,500 --> 00:42:42,400
+اتنين في موضوع حل مسألة زي هيك وهي القوانين
+
+471
+00:42:42,400 --> 00:42:48,880
+التانية قدامك الآن تلاتة ناقص سبعةأربعة تربيع زائد
+
+472
+00:42:48,880 --> 00:42:52,660
+صفر تربيع ال instance الأولى وهذه كانت ال
+
+473
+00:42:52,660 --> 00:43:01,000
+classification تبعتها bad الآن أربعة تربيع زائد
+
+474
+00:43:01,000 --> 00:43:09,240
+تلاتة تربيع وبرضه هذه كانت bad الآن البعديها صفر
+
+475
+00:43:09,240 --> 00:43:14,820
+تربيع زائد واحد تربيع وهذه good ال instance
+
+476
+00:43:14,820 --> 00:43:23,680
+الأخيرةاتنين تربيع زائد تلاتة عفوا تلاتة عفوا
+
+477
+00:43:23,680 --> 00:43:27,440
+تربيع سبعة
+
+478
+00:43:27,440 --> 00:43:37,600
+ناقص أربعة تلاتة تربيع وهذه good أقصر
+
+479
+00:43:37,600 --> 00:43:44,500
+مسافة اللي بعديها اللي بعديها
+
+480
+00:43:47,000 --> 00:43:54,760
+إذا كانت الـ K equal واحد فهي Good إذا كانت الـ K
+
+481
+00:43:54,760 --> 00:44:00,700
+equal تلاتة بعمل voting بين التلاتة الأصغر تنتين
+
+482
+00:44:00,700 --> 00:44:04,680
+Good و واحدة Bad حسب المجارية باخد الـ Good فكل
+
+483
+00:44:04,680 --> 00:44:09,080
+الحالتين كانت عندك Good Eclidean distance أنا
+
+484
+00:44:09,080 --> 00:44:14,250
+اعتمدت يا دكتور ماطبقتش الترديعمافيش مشكلة،
+
+485
+00:44:14,250 --> 00:44:16,330
+معامالنا ذاكرين إنه جماعة الخير بما أنه التربيه
+
+486
+00:44:16,330 --> 00:44:19,450
+يقعد يتطبق نشتغل مع الكل فأنا ممكن أنا أشتغل بسرعة
+
+487
+00:44:19,450 --> 00:44:22,770
+بدون مقلخم حالي وأستخدم قالة الجوال لأول مرة بدي
+
+488
+00:44:22,770 --> 00:44:28,230
+أستخدمها على ال include على المنهاتين الناس اللي
+
+489
+00:44:28,230 --> 00:44:35,090
+اشتغلت على المنهاتين مااختلفتش كتير الآن تلاتة
+
+490
+00:44:35,090 --> 00:44:40,450
+أربعة زائد صفر وأربعة
+
+491
+00:44:40,450 --> 00:44:52,940
+زائد تلاتةو صفر زائد تلاتة و اتنين زائد تلاتة ال
+
+492
+00:44:52,940 --> 00:45:01,500
+shortest واحد اتنين تلاتة
+
+493
+00:45:01,500 --> 00:45:10,480
+good في حالة ال K equal one وين خمسة
+
+494
+00:45:13,140 --> 00:45:19,040
+ترتيب اختلف اوكي ماشي الحال اتنين تلاتة تمام
+
+495
+00:45:19,040 --> 00:45:26,500
+تنتين جود واحدة bad جود
+
+496
+00:45:26,500 --> 00:45:34,060
+فهي ال label تمام الشباب الله
+
+497
+00:45:34,060 --> 00:45:34,600
+يعطيك العافية
+
+498
+00:45:41,260 --> 00:45:55,340
+أصارت عندك X2 المشكلة جزاعل
+
+499
+00:45:55,340 --> 00:45:58,800
+استاد انا حليت مع K equal تلاتة هاي ال query اللي
+
+500
+00:45:58,800 --> 00:46:01,760
+بدي اعمل ال instance تلاتة سبعة هي اللي بدي قيمها
+
+501
+00:46:01,760 --> 00:46:07,800
+فروحت حسبت المسافة بينها وبين كل نقطة تربيع
+
+502
+00:46:10,590 --> 00:46:17,190
+الان رتبت تبع لل distance من الأصغر للأكبر
+
+503
+00:46:17,190 --> 00:46:20,630
+وبالتالي الأولى هي ال most closest وراها التانية و
+
+504
+00:46:20,630 --> 00:46:24,870
+التالتة و الرابعة الرابعة هي the farthest one الآن
+
+505
+00:46:24,870 --> 00:46:29,430
+إذا كانت ال K تبعتي equal K equal واحد فالأولى
+
+506
+00:46:29,430 --> 00:46:35,690
+كانت ال K تبعتي equal تلاتة هي التلاتة هعمل بينهم
+
+507
+00:46:35,690 --> 00:46:40,780
+voting الآن فهتكون الناتج تبعتيال class تبعت ال
+
+508
+00:46:40,780 --> 00:46:50,580
+instance هذي good اجرب مسافة نعم سبعة نقص سبعة و
+
+509
+00:46:50,580 --> 00:46:53,380
+انا السبعة نقص سبعة بس السبعة نقص سبعة مش لحالها
+
+510
+00:46:53,380 --> 00:46:59,240
+في عندك هنا سبعة نقص ثلاثة لأن هذا distance في ال
+
+511
+00:46:59,240 --> 00:47:05,180
+2D في ال 2D خط بس الخط هذا جاي معاك خط أفق أو خط
+
+512
+00:47:05,180 --> 00:47:06,780
+عمود لما يكون قيمته متساويات
+
+513
+00:47:09,850 --> 00:47:14,810
+الان لو طلعوا النساء في كل مقالي نسبتها طبعا هي
+
+514
+00:47:14,810 --> 00:47:18,470
+بعض ضد وبعض نفس ال .. اه اه الان هذه مشكلة زي ما
+
+515
+00:47:18,470 --> 00:47:22,450
+قلتلك انا سابقا مشكلة ال voting انك انت بدك تحاول
+
+516
+00:47:22,450 --> 00:47:27,030
+تسعى انك تلاقي value افضل كي تتناسب مع العملية
+
+517
+00:47:27,030 --> 00:47:31,050
+الان بكل الأحوال لو طلعوا فعليا فعليا عندي two
+
+518
+00:47:31,050 --> 00:47:35,750
+classes اللي هم نفس ال level نفس ال distanceحطيته
+
+519
+00:47:35,750 --> 00:47:39,170
+في ايه؟ حطيته في دي؟ نفس النتيجة في الآخر انت
+
+520
+00:47:39,170 --> 00:47:42,510
+حصلت، تمام؟ بس في الآخر، هي اللي موجود، هي ال
+
+521
+00:47:42,510 --> 00:47:45,710
+algorithm ماحدش جالك أن ال algorithm هاد perfect،
+
+522
+00:47:45,710 --> 00:47:50,390
+one hundred percent أنا قدمته لسبب واحد فقط أنه
+
+523
+00:47:50,390 --> 00:47:56,070
+أسهل algorithm ممكن تستوعبه أنت الآن، تمام؟ أسهل
+
+524
+00:47:56,070 --> 00:48:03,520
+algorithm ببدأش يخل دماغك يشتغل معانا، ممتاز؟هذه
+
+525
+00:48:03,520 --> 00:48:12,320
+ال data ال 6 تبعتنا .. بدي أرجع لهيك شوية X
+
+526
+00:48:12,320 --> 00:48:23,960
+تلاتة true .. false .. false .. true أنا
+
+527
+00:48:23,960 --> 00:48:29,040
+سابقا لما كنت بحسب distance أو ping و cell لما صرت
+
+528
+00:48:29,040 --> 00:48:34,150
+back كنت بعكس ال similarity as a distanceتمام ال
+
+529
+00:48:34,150 --> 00:48:38,070
+shortest distance ال most similar والعكس صحيح كانت
+
+530
+00:48:38,070 --> 00:48:42,550
+ال numeric value الان انا فيه عندى boolean value
+
+531
+00:48:42,550 --> 00:48:47,430
+شو بدي اسوي فيها صفر و واحد احولها صفر و واحد يعني
+
+532
+00:48:47,430 --> 00:48:53,990
+ارجع اعمل preprocessing صفر و واحد حل بس انا رجعني
+
+533
+00:48:53,990 --> 00:49:00,550
+كتير لورا مضطرله تمام طيب لو كان عندى كمان
+
+534
+00:49:04,990 --> 00:49:13,930
+X3 أو X4 بمثل الـ Marital Status Single Divorced
+
+535
+00:49:13,930 --> 00:49:22,910
+Woodward Married مقولج، بعيد عنك أرمل Woodward
+
+536
+00:49:22,910 --> 00:49:27,190
+أرمل Divorced مقولق مش هاي الحالات الاجتماعية
+
+537
+00:49:27,190 --> 00:49:36,660
+الأربعة على شخص أعزب متزوجwidow ..widow ..widow
+
+538
+00:49:36,660 --> 00:49:42,360
+..widow ..widow ..widow ..widow ..widow ..widow
+
+539
+00:49:42,360 --> 00:49:47,400
+..widow ..widow ..widow ..widow ..widow ..widow
+
+540
+00:49:47,400 --> 00:49:47,980
+..widow ..widow ..widow ..widow ..widow ..widow
+
+541
+00:49:47,980 --> 00:49:51,640
+..widow ..widow ..widow ..widow ..widow ..widow
+
+542
+00:49:51,640 --> 00:49:51,760
+..widow ..widow ..widow ..widow ..widow ..widow
+
+543
+00:49:51,760 --> 00:49:57,740
+..widow ..widow ..widow ..widow ..widow ..widow
+
+544
+00:49:57,740 --> 00:49:57,740
+..widow ..widow ..widow ..widow ..widow ..widow
+
+545
+00:49:57,740 --> 00:49:57,740
+..widow ..widow ..widow ..widow ..widow ..widow
+
+546
+00:49:57,740 --> 00:49:57,780
+..widow ..widow ..widow ..widow ..widow ..widow
+
+547
+00:49:57,780 --> 00:49:57,780
+..widow ..widow ..widow ..widow ..widow ..widow
+
+548
+00:49:57,780 --> 00:49:57,780
+..widow ..widow ..widow ..widow ..widow ..widow
+
+549
+00:49:57,780 --> 00:49:59,800
+..widow ..widow ..widow ..widow ..widow ..widow
+
+550
+00:50:03,060 --> 00:50:12,200
+تقدرش تحولها ايوة دون إبداعات نسمع منكم وبالتالي
+
+551
+00:50:12,200 --> 00:50:15,140
+انت حقيت .. يعني لو لو هي للأعزب يعني المفروض كون
+
+552
+00:50:15,140 --> 00:50:20,780
+قيمة الأعزب أكبر غير صحيح نعم نحسب ال X و X1 و X2
+
+553
+00:50:20,780 --> 00:50:24,960
+و X3 و X4 و X5 و X6 و X7 و X8 و X9 و X10 و X11 و
+
+554
+00:50:24,960 --> 00:50:27,160
+X12 و X12 و X13 و X14 و X14 و X15 و X16 و X17 و
+
+555
+00:50:27,160 --> 00:50:28,820
+X18 و X19 و X20 و X21 و X22 و X22 و X22 و X22 و
+
+556
+00:50:28,820 --> 00:50:28,940
+X22 و X22 و X22 و X22 و X22 و X22 و X22 و X22 و
+
+557
+00:50:28,940 --> 00:50:28,940
+X22 و X22 و X22 و X22 و X22 و X22 و X22 و X22 و
+
+558
+00:50:28,940 --> 00:50:31,370
+X22 و X22 و X22 و X22 و X22 و X22لما يكون في عندي
+
+559
+00:50:31,370 --> 00:50:36,130
+nominal attribute او Boolean attribute ال distance
+
+560
+00:50:36,130 --> 00:50:41,450
+هتزيد بصفر او بواحد بناء على ايش هل ال value هذي
+
+561
+00:50:41,450 --> 00:50:47,970
+equal او not equal true يعني ال instance اللي انا
+
+562
+00:50:47,970 --> 00:50:55,910
+بدي اقرأها الان كانت هنا عندي تلاتة و سبعة و false
+
+563
+00:50:55,910 --> 00:50:58,530
+و D
+
+564
+00:51:01,610 --> 00:51:09,330
+الان المسافة اللي بحسبها هي ل
+
+565
+00:51:09,330 --> 00:51:17,950
+ال instance الأولى الان سبعة ناقص سبعة تربيع زائد
+
+566
+00:51:17,950 --> 00:51:26,530
+سبعة ناقص تلاتة تربيع زائد واحد
+
+567
+00:51:26,530 --> 00:51:34,590
+في حالة التساوي صفر في حالة الاختلافصفر زائد صفر
+
+568
+00:51:34,590 --> 00:51:40,630
+في الحالة التانية مع ال instance التانية أربعة
+
+569
+00:51:40,630 --> 00:51:48,890
+ناقص سبعة تربيع زائد سبعة ناقص تلاتة تربيع زائد
+
+570
+00:51:48,890 --> 00:52:01,390
+false و false واحد دي و دي واحدوبالتالي صار موضوع
+
+571
+00:52:01,390 --> 00:52:03,910
+الـ String اللي هندي أو لو كانت الـ Nominal Data
+
+572
+00:52:03,910 --> 00:52:07,990
+أو Boolean Data مافيش داعي أرجع لل preprocessing
+
+573
+00:52:07,990 --> 00:52:13,170
+مافيش داعي أرجع لل preprocessing بالعكس أنا ممكن
+
+574
+00:52:13,170 --> 00:52:19,050
+أكمل بكل بساطة بتصير الآن similar or dissimilar
+
+575
+00:52:19,050 --> 00:52:24,530
+لأنه فعلاً هل هي نفس القيمة ولا قيمة مختلفة؟طبعا؟
+
+576
+00:52:24,530 --> 00:52:28,550
+قيمة و لا قيمة مختلفة لكن لأ أخفيكوا إن هاي في
+
+577
+00:52:28,550 --> 00:52:33,370
+برضه فيها مشكلة
+
+578
+00:52:33,370 --> 00:52:38,650
+رحلة
+
+579
+00:52:38,650 --> 00:52:47,150
+شوية لو كان في عندى two values بالشكل هذا أحمد و
+
+580
+00:52:47,150 --> 00:52:53,250
+أحمد واحدة بتبدأ بcapital واحدة smallالمفروض تكون
+
+581
+00:52:53,250 --> 00:52:56,490
+انت حليتها أنا جيبتك كمثال كاسم بالاسم الآن يا
+
+582
+00:52:56,490 --> 00:53:08,030
+سيدي بلاش نتكلم على الوظيفة ال job manager الان
+
+583
+00:53:08,030 --> 00:53:12,810
+هادي وهادي في ال semantic واحدة لكن على حسب
+
+584
+00:53:12,810 --> 00:53:17,010
+القانون اللي أنا بقوله إذا متساويات بياخدوا واحد
+
+585
+00:53:17,010 --> 00:53:19,830
+مختلفات بياخدوا صفر هدولة من الناس اللي هتاخد صفر
+
+586
+00:53:22,450 --> 00:53:25,770
+ليش؟ لأن ال case .. بدي أدخل ال ignore case في
+
+587
+00:53:25,770 --> 00:53:34,610
+الموضوع ابتجيني قضية أخطر من هيك واحد
+
+588
+00:53:34,610 --> 00:53:38,950
+كتب بال A و واحد كتب بال E مش هذا اللي احنا
+
+589
+00:53:38,950 --> 00:53:44,450
+اتسمناها سابقا ignore syntax حلتك من ال capital
+
+590
+00:53:44,450 --> 00:53:48,290
+letter و ال capital letter و ال small letter بس ما
+
+591
+00:53:48,290 --> 00:53:56,190
+حلت ال cash ان هذه Aوها دي إيه؟ هتظل في عندي
+
+592
+00:53:56,190 --> 00:53:59,690
+استثناءات وإن ال data فيها .. يعني مش ضروري كل شيء
+
+593
+00:53:59,690 --> 00:54:03,890
+ييجي .. يعني أنا بهمش أنا بحاول أظبط ال data تمشي
+
+594
+00:54:03,890 --> 00:54:08,650
+مع القوانين بحاولش أكيف القوانين تمشي مع ال data
+
+595
+00:54:08,650 --> 00:54:11,690
+وبالتالي هي القانون اللي موجودة عندي هنا في حالة
+
+596
+00:54:11,690 --> 00:54:17,110
+ال nominal data equal values zero يعني ال distance
+
+597
+00:54:17,110 --> 00:54:21,830
+بينهم zero ليش؟ لأنهم متطابقيننفس الشيء مافيش فرق
+
+598
+00:54:21,830 --> 00:54:25,730
+بقى بينهم different values بغض النظر إيش كانوا
+
+599
+00:54:25,730 --> 00:54:30,870
+الفرق بينهم واحد و لما أنا بضيف الفرق بينهم لما
+
+600
+00:54:30,870 --> 00:54:37,890
+أقول قيمتهم مختلفات واحد متساويات Zero عكست في
+
+601
+00:54:37,890 --> 00:54:45,090
+المثال هذا true
+
+602
+00:54:45,090 --> 00:54:54,230
+و false واحد اختلاف اختلافابعدت ابعدت كويس انكم
+
+603
+00:54:54,230 --> 00:54:56,470
+انتبهتوا انا بتكلم باتكلم ببتكلم ببتكلم ببتكلم
+
+604
+00:54:56,470 --> 00:54:56,730
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+605
+00:54:56,730 --> 00:54:57,570
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+606
+00:54:57,570 --> 00:54:58,070
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+607
+00:54:58,070 --> 00:55:01,530
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+608
+00:55:01,530 --> 00:55:14,790
+ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم ببتكلم
+
+609
+00:55:14,790 --> 00:55:18,130
+ببتكلم
+
+610
+00:55:18,130 --> 00:55:25,030
+ببتصفر و صفر بين جوسين بين جوسين ان ال instance
+
+611
+00:55:25,030 --> 00:55:30,810
+الأولى من ناحية ال text من
+
+612
+00:55:30,810 --> 00:55:39,250
+ناحية ال text أبعد عادة ال instance من التانية
+
+613
+00:55:39,250 --> 00:55:43,050
+أبعد يعني صار في واحد صار في مسافة تنجمع للقانون
+
+614
+00:55:43,050 --> 00:55:45,990
+اللي عندي نعم
+
+615
+00:55:54,750 --> 00:55:57,730
+جدّيش عدد ال values ال different values اللي عندك
+
+616
+00:55:57,730 --> 00:56:05,330
+و الحالات التانية الوظائف ال occupation جدّيش
+
+617
+00:56:05,330 --> 00:56:10,610
+عدد الوظائف ايه و اديني مثال فرضا عشرة مين قال مين
+
+618
+00:56:10,610 --> 00:56:14,970
+قال ان ال manager بيختلف عن الموظف العادي بتسعة
+
+619
+00:56:14,970 --> 00:56:16,390
+درجات او بعشرة درجات
+
+620
+00:56:18,950 --> 00:56:26,210
+أنا قاعد باسألك مين اللي جال يعني
+
+621
+00:56:26,210 --> 00:56:29,690
+انت فعليا بدك تروح تعمل attribute جديد بناء على ال
+
+622
+00:56:29,690 --> 00:56:33,970
+data اللي عندك بنجو سين مؤمن جاعد ب mail انه خلاص
+
+623
+00:56:33,970 --> 00:56:39,330
+بما انه انا بدي استخدم ال algorithm كل ال data
+
+624
+00:56:39,330 --> 00:56:44,850
+تصير ال data نمريكية بس بدي ارجع اقولك ان ال way
+
+625
+00:56:44,850 --> 00:56:51,080
+اللي انت كمان بتتكلم عليههيظل subjective انت هتصير
+
+626
+00:56:51,080 --> 00:56:57,420
+تقرب و تبعد في الموظفين حسب حسب
+
+627
+00:56:57,420 --> 00:57:00,520
+ال character تبعتك حسب الشخص اللي عمله بيحلل و ده
+
+628
+00:57:00,520 --> 00:57:04,920
+ممكن يختلف لأنه في الآخر مافيش قانون واضح يقول
+
+629
+00:57:04,920 --> 00:57:08,860
+الفرق بين كده و كده لكن لو على سبيل المثال احنا
+
+630
+00:57:08,860 --> 00:57:13,740
+كنا بنتكلم على ال salary gradeأو الـ Grade تبع
+
+631
+00:57:13,740 --> 00:57:17,600
+الموظف آه، ممكن أعكس هذه بالـ Basic Salary تبع كل
+
+632
+00:57:17,600 --> 00:57:21,700
+Grade و هيك .. هيك بتكون الأمور سهلة تمام؟ لكن في
+
+633
+00:57:21,700 --> 00:57:26,280
+حالة زي هذه زي ما كتبت و قلت انتهان True و False
+
+634
+00:57:26,280 --> 00:57:29,280
+صفر و واحد، ماقلت الـ Cash، لأ، قلتلك صح لأنه
+
+635
+00:57:29,280 --> 00:57:32,180
+منطقية و لو كانت الـ Gender Male و Female، هقولك
+
+636
+00:57:32,180 --> 00:57:34,780
+صح و هذا الكلام هيتطابق مع الكلام الأساسي اللي
+
+637
+00:57:34,780 --> 00:57:39,500
+احنا بنقوله قاعدين بس في الحالة هذه انت روح
+
+638
+00:57:39,500 --> 00:57:46,390
+تعتبرهم Ordinal Dataمرتبط مصبوط و كل ما زادت
+
+639
+00:57:46,390 --> 00:57:51,770
+الرتبة زاد الفرق مش دايما هذا الكلام متوفر عندي
+
+640
+00:57:51,770 --> 00:57:56,330
+دكتور تفضلي على ال regression او ال .. مش بس على
+
+641
+00:57:56,330 --> 00:57:58,130
+ال .. مالهاش تدخل بال regression هاد ال
+
+642
+00:57:58,130 --> 00:58:00,890
+classification algorithm ال classification
+
+643
+00:58:00,890 --> 00:58:04,810
+algorithm طيب هد زي تقريبا اللي قلت عشان تفتح
+
+644
+00:58:04,810 --> 00:58:07,230
+الرواتب المليون
+
+645
+00:58:11,370 --> 00:58:17,610
+هي تعالى نشوف المثال
+
+646
+00:58:17,610 --> 00:58:22,230
+هذا الان عندي data set اللي علاقة بالاتصالات
+
+647
+00:58:26,670 --> 00:58:31,190
+المستخدم رقم المستخدم عند ال call بال duration
+
+648
+00:58:31,190 --> 00:58:42,130
+الاتصال بالدقائق 25000 40000 55000 27000 53000 ال
+
+649
+00:58:42,130 --> 00:58:51,940
+SMS count 24 27 32 25 30الـ Data Counter الـ
+
+650
+00:58:51,940 --> 00:58:56,520
+Mobile Data بالميجا بايت أربعة خمسة سبعة ستة خمسة
+
+651
+00:58:56,520 --> 00:59:01,780
+الآن لو أنا بدأ أروح أطبق ال distance الـ Numeric
+
+652
+00:59:01,780 --> 00:59:07,620
+Data ولا لأ؟ لو بدأ أطبق ال distance أنا بقولك
+
+653
+00:59:07,620 --> 00:59:09,900
+حرام ما تغلبش حالك كفاية تعتمد على ال attribute
+
+654
+00:59:09,900 --> 00:59:14,600
+الأول ليش؟
+
+655
+00:59:14,600 --> 00:59:19,220
+لأن الفرق ما بين القيم كبير جداوبالتالي هو صاحب
+
+656
+00:59:19,220 --> 00:59:23,800
+القرار في ال distance و لا شو رايكوا؟ أو بين
+
+657
+00:59:23,800 --> 00:59:30,880
+جوسين؟ تأثير ال attribute هذا تأثيره أكبر مئات
+
+658
+00:59:30,880 --> 00:59:36,580
+المرات من ال attribute التاني والتالت على مين؟ على
+
+659
+00:59:36,580 --> 00:59:41,640
+ال distance أنت تخيل ال instance اللي أنا بدي
+
+660
+00:59:41,640 --> 00:59:45,980
+أفحصها القيم اللي فيها ألفين
+
+661
+00:59:53,040 --> 00:59:59,260
+17 تلاتة مع
+
+662
+00:59:59,260 --> 01:00:03,380
+ال distance الأولى فقط مع ال distance الأولى خمس
+
+663
+01:00:03,380 --> 01:00:07,840
+.. خمس آلاف تربيع .. أنا ألفين؟ هذا بدك تقول عشرين
+
+664
+01:00:07,840 --> 01:00:17,460
+ألف عشرين ألف خمس آلاف تربيع زائد سبعة تربيعزائد
+
+665
+01:00:17,460 --> 01:00:20,320
+واحد تربيع فعلياً ما لهو مش قيمة في مقابل الخمس
+
+666
+01:00:20,320 --> 01:00:24,200
+تلاف تربيع ولا لأ؟ يعني هو كأنه ال value اللي طلعت
+
+667
+01:00:24,200 --> 01:00:29,000
+عندي هي عبارة عن جزر الخمس تلاف والباقي كله ولا
+
+668
+01:00:29,000 --> 01:00:33,140
+حاجة ماليش معنى كتير عندي أو تأثيره قليل جداً بس
+
+669
+01:00:33,140 --> 01:00:38,860
+هل الكلام هذا صح؟ هل فعليا ال cold duration هو ال
+
+670
+01:00:38,860 --> 01:00:43,180
+dominant في ال distance؟ لأ هو لاحظ أن ال
+
+671
+01:00:43,180 --> 01:00:47,830
+attribute كلهالقيم تبعته عالية ايش الحل بييجي
+
+672
+01:00:47,830 --> 01:00:51,210
+موضوع ال scaling هو اللي بيحل القضية وبحطهم كلهم
+
+673
+01:00:51,210 --> 01:00:56,510
+بنفس الأوزان في موضوع ال distance تخيل انا بدرح
+
+674
+01:00:56,510 --> 01:01:00,690
+اطبق عليهم ال min max normalization من صفر لواحد
+
+675
+01:01:00,690 --> 01:01:04,050
+شكل
+
+676
+01:01:04,050 --> 01:01:12,030
+ال data set هيها صفر مع انه كانت الفروقات بينهم
+
+677
+01:01:13,850 --> 01:01:18,590
+كبيرة جدا وعلى نفس النظام على نفس النظام الألفين
+
+678
+01:01:18,590 --> 01:01:22,830
+لما انا بقدر أطبقها بقدر اخضعها لنفس المبدأ ال min
+
+679
+01:01:22,830 --> 01:01:27,870
+max 01 على نفس الحسبة اللي اشتغل عليها هان هي ال
+
+680
+01:01:27,870 --> 01:01:33,990
+maximum value 55000 وهي ال minimum value ال
+
+681
+01:01:33,990 --> 01:01:39,010
+minimum و ال old ال old minimum و ال old maximum ل
+
+682
+01:01:39,010 --> 01:01:43,370
+ال new minimum 0و الـ New Maximum واحد و بدي أطبق
+
+683
+01:01:43,370 --> 01:01:47,030
+الألف عليهم الألفين عليهم و نفس النظام بدي أطبق
+
+684
+01:01:47,030 --> 01:01:51,410
+باقي العناصر اللي أنا كتبتها ففعليا ال values
+
+685
+01:01:51,410 --> 01:01:58,970
+تبعتها بصير تفرج و بصير كلهم إيش متساويات نعم بس
+
+686
+01:01:58,970 --> 01:02:02,490
+احنا اتفقنا إنه في موضوع ال data ال normalization
+
+687
+01:02:02,490 --> 01:02:07,850
+في ال preprocessing مهم جدا بس شغلة زي السابقة أنا
+
+688
+01:02:07,850 --> 01:02:12,450
+ماشوفتهاشماكنتش .. ماكنتش تخطر في أحلامي إنه فعليا
+
+689
+01:02:12,450 --> 01:02:16,150
+ألاقي إنه الـ nominal attribute أو ألاقي algorithm
+
+690
+01:02:16,150 --> 01:02:21,530
+فقط شغال على الـ numeric data، مصبوط؟ في ناحية الـ
+
+691
+01:02:21,530 --> 01:02:23,890
+preprocessing، احنا حكينا سابقا إنه الـ scaling
+
+692
+01:02:23,890 --> 01:02:29,530
+شغلة أساسية، الـ scaling شغلة أساسية إيش ال
+
+693
+01:02:29,530 --> 01:02:33,670
+advantages و ال disadvantages تبعت ال algorithm
+
+694
+01:02:33,670 --> 01:02:41,090
+اللي عندنا؟ ال advantages robustشو يعني robust؟
+
+695
+01:02:41,090 --> 01:02:50,190
+قوي في موجود ال noise data في عند data طيب هي
+
+696
+01:02:50,190 --> 01:02:55,770
+distinguish ولا distinguish انت
+
+697
+01:02:55,770 --> 01:02:58,010
+اللي بتقول عشانك روحت على بلد و مارست فيها لغة
+
+698
+01:02:58,010 --> 01:03:00,730
+بلفضوها بالشكل هذا بقى هذا لا يعني ان الناس
+
+699
+01:03:00,730 --> 01:03:04,510
+التانية بتلفضوها بالهديات مختلفة شكرا لك تمام
+
+700
+01:03:04,510 --> 01:03:06,470
+سيدي؟ الآن
+
+701
+01:03:08,130 --> 01:03:13,890
+advantages robust أو robust noise training data
+
+702
+01:03:13,890 --> 01:03:17,590
+لما بكون في عندي noise data أنا بأضمن أنه بديني
+
+703
+01:03:17,590 --> 01:03:23,050
+prediction صحيحة بهدف أنه فعليا ما بتأثرش هو عماله
+
+704
+01:03:23,050 --> 01:03:25,950
+بيحسب ال instance أو العلاقة مع كل ال instances و
+
+705
+01:03:25,950 --> 01:03:30,570
+لما تكون في عندي واحدة noise بتدوب ما بين العناصر
+
+706
+01:03:30,570 --> 01:03:34,730
+اللي موجودة effective في حالة إذا كانت ال data
+
+707
+01:03:34,730 --> 01:03:39,490
+تبعتي large enough كبيرةليش؟ لأن بكون ال decision
+
+708
+01:03:39,490 --> 01:03:43,810
+تبعي بعتمد على أكبر عدد ممكن من ال neighbors
+
+709
+01:03:43,810 --> 01:03:48,070
+وبالتالي كل ما كترت النقاط صرت انا بدور انه يكون
+
+710
+01:03:48,070 --> 01:03:52,710
+.. احتمالية انه يكون في نقاط اقرب اعلى ال
+
+711
+01:03:52,710 --> 01:03:58,670
+disadvantages انه لازم احدد الكلمة الجابلة و
+
+712
+01:03:58,670 --> 01:04:02,090
+الكلمة التحديدة هذه بحد ذاته مشكلة انا ما بعرف ولا
+
+713
+01:04:02,090 --> 01:04:07,150
+حد في الدنيا بيعرف ايش افضل key الشغل التانيةالـ
+
+714
+01:04:07,150 --> 01:04:11,230
+distance based learning is not clear مفهوم الـ
+
+715
+01:04:11,230 --> 01:04:13,470
+distance لما كنت بتكلم على ال numerical كنت مقتنع
+
+716
+01:04:13,470 --> 01:04:18,370
+فيها بس لما دخلت ال nominal data بدنا ناخد و نعطف
+
+717
+01:04:18,370 --> 01:04:23,190
+الكلام مصبوط وبالتالي ما صارت مفهوم ال similarity
+
+718
+01:04:23,190 --> 01:04:28,350
+مش clear بالنسبة لي كتير عندي هان الشغلة التالتة
+
+719
+01:04:28,350 --> 01:04:33,650
+أو الأخيرة أنه أنا فعليا هذا ال algorithm بديني
+
+720
+01:04:33,650 --> 01:04:38,970
+high computation costليش؟ انت تخيل عندي 100 ألف
+
+721
+01:04:38,970 --> 01:04:45,090
+instance عشان أقدر أصنف one instance بدي أحسب
+
+722
+01:04:45,090 --> 01:04:51,830
+المسافة بينها وبين 100 ألف نقطة طبعا عندي 10 نقاط
+
+723
+01:04:51,830 --> 01:04:57,150
+بدي أصنفهم بدي أحسب ال distance عشرة في 100 ألف
+
+724
+01:04:57,150 --> 01:05:02,810
+يعني مليون مرة مليون distance بدي أحسب و هكذا لكن
+
+725
+01:05:02,810 --> 01:05:06,470
+هذا برضه على الرغم من العيوب هذهالـ algorithm هذه
+
+726
+01:05:06,470 --> 01:05:11,870
+في حالات كتيرة efficient إذا كانت في عندي memory
+
+727
+01:05:11,870 --> 01:05:16,150
+كافية و ال data set تباعتي كويسة بتديني prediction
+
+728
+01:05:16,150 --> 01:05:19,670
+عالي لأن أحيانا يا جماعة الخير بقدرش أبني model
+
+729
+01:05:19,670 --> 01:05:26,720
+أنا لاحظ أي تغيير في ال environment مش هتأثر فيهفي
+
+730
+01:05:26,720 --> 01:05:29,560
+الآخر انت بتديني قيم وانا بحسب قربي او بعدي النقطة
+
+731
+01:05:29,560 --> 01:05:33,720
+جربت ولا بعدت انا ماعندي مشكلة لكن في حالة بناء ال
+
+732
+01:05:33,720 --> 01:05:36,420
+model زى ما هشوف لاحقا انا ببنى model ال model
+
+733
+01:05:36,420 --> 01:05:42,540
+خلاص صار if then طب اتغيرت الدنيا بدك تغير ال if
+
+734
+01:05:42,540 --> 01:05:45,840
+then يعني بدك تعمل ال training مرة تانية و عادة
+
+735
+01:05:45,840 --> 01:05:51,020
+بنطلق على ال kennerist labor hand lazy learning
+
+736
+01:05:51,020 --> 01:05:54,020
+algorithm
+
+737
+01:06:01,130 --> 01:06:05,630
+براحته، ليش lazy؟ لأنه فعلا بيبنيش model كاسلان
+
+738
+01:06:05,630 --> 01:06:09,030
+ماعندهش استعداد يرهق نفسه في بناء model أو يحط
+
+739
+01:06:09,030 --> 01:06:12,970
+role كصفر العلاقة ما بين ال attributes و ال class
+
+740
+01:06:12,970 --> 01:06:17,410
+فبيعتمد هو كل مرة على إيش؟ على ال computation بدل
+
+741
+01:06:17,410 --> 01:06:25,380
+من حساب ال model متطفل؟ لاهو شغال بذاته هو كسول
+
+742
+01:06:25,380 --> 01:06:29,020
+بدوش يبني بقولك لما بتيجي تعمل instance بعملك
+
+743
+01:06:29,020 --> 01:06:31,560
+الحسبة و بديكي اياه و خلاصنا بديش ابني model
+
+744
+01:06:31,560 --> 01:06:40,320
+واحتفظ فيه اللي هي لأ
+
+745
+01:06:40,320 --> 01:06:43,520
+لأ هذا ال algorithm من ال deterministic algorithm
+
+746
+01:06:43,520 --> 01:06:49,550
+يعني لو دوفرتله نفس ال data setو نفس الـ Instant
+
+747
+01:06:49,550 --> 01:06:53,910
+Set وجربت 7000 مليون مرة تعمل ال classification
+
+748
+01:06:53,910 --> 01:07:00,670
+تحديك نفس النتيجة اه
+
+749
+01:07:00,670 --> 01:07:04,670
+ممكن انا ماقلتش ان ال algorithm هذا هو الأفضل
+
+750
+01:07:04,670 --> 01:07:09,550
+طبعا؟ لكن هذا ال algorithm هو الأسهل من ناحية
+
+751
+01:07:09,550 --> 01:07:13,490
+الاستيعاب، أيش اللي بيصير فعشان هيك أنا بديت فيه،
+
+752
+01:07:13,490 --> 01:07:17,870
+الآن هل هو أفضل algorithm؟ لأالان بس أنا بالنسبة
+
+753
+01:07:17,870 --> 01:07:21,950
+لي تجربة شخصية في الدكتوراه كان ال algorithm هذا
+
+754
+01:07:21,950 --> 01:07:26,850
+هو قوق النجاة تبعي قارنته بال support vector
+
+755
+01:07:26,850 --> 01:07:30,470
+machine وقارنته بال neural network كان أداءه أقل
+
+756
+01:07:30,470 --> 01:07:33,930
+منهم على الرغم من هي كان اختيار ان هذا ال
+
+757
+01:07:33,930 --> 01:07:36,910
+algorithm هو الأكثر مناسبة انا بأشتغل في dynamic
+
+758
+01:07:36,910 --> 01:07:41,430
+environment بعمل computation على الجوال وبالتالي
+
+759
+01:07:41,430 --> 01:07:44,830
+يستحيل موضوع ال learning ان ابني model كل ما تتغير
+
+760
+01:07:44,830 --> 01:07:49,540
+ال environmentومقاربة الـ Accuracy لـ Neural
+
+761
+01:07:49,540 --> 01:07:53,320
+Network دتني حوالي 97% الـ support vector machine
+
+762
+01:07:53,320 --> 01:07:59,360
+الدنيا مقاربة لها وهذا الدرح الدنيا 94% فبالضبط
+
+763
+01:07:59,360 --> 01:08:03,780
+فصرت هذا مش فارق في مقابل أنه هذا بيشتغل مع الـ
+
+764
+01:08:03,780 --> 01:08:06,020
+dynamic environment لأنه أنا مش بحاجة في كل ما
+
+765
+01:08:06,020 --> 01:08:10,700
+تتغير عوامل البيئة أروح أبني model جديد فكان هو
+
+766
+01:08:10,700 --> 01:08:13,620
+فعليا أوق النجاح زي ما قلتلك بالنسبة لي من تجربة
+
+767
+01:08:13,620 --> 01:08:17,430
+فهذا لا يعني أنه سيءلكن أنا قاعد بتكلم advantages
+
+768
+01:08:17,430 --> 01:08:21,770
+او disadvantages موجودة عندها ال code اللي موجود
+
+769
+01:08:21,770 --> 01:08:26,070
+عندها بكل بساطة بيبني او بيستخدم ال kenyan sniper
+
+770
+01:08:26,070 --> 01:08:32,830
+algorithm بال بايثون طبعا انا بفترض ان انا عامل
+
+771
+01:08:32,830 --> 01:08:33,210
+import
+
+772
+01:08:36,030 --> 01:08:38,790
+الان بكل بساطة الشباب اللي انا سويته في ال code
+
+773
+01:08:38,790 --> 01:08:42,510
+هذا كنت بدأ اشتغله او رابط مدامك عملي الان عملت
+
+774
+01:08:42,510 --> 01:08:46,830
+import لل pandas as bd و ال bd مجرد اي اي shortcut
+
+775
+01:08:46,830 --> 01:08:50,350
+عشان تختصر من كتابة أسماء ال libraries باكتر من
+
+776
+01:08:50,350 --> 01:08:54,930
+طريقة و قلتله ال data 6 بعت equal pandas dot read
+
+777
+01:08:54,930 --> 01:09:02,390
+csv iris dot csv data بتتكلم على تصنيف زهر السوسن
+
+778
+01:09:02,390 --> 01:09:08,680
+لتلت أصنافال data set هذه for training معدّة بشكل
+
+779
+01:09:08,680 --> 01:09:13,480
+جيد لل classification طبعا يعني إذا أريد أن أفهم
+
+780
+01:09:13,480 --> 01:09:15,580
+ال classification و أجرب ال algorithm و أقارن ما
+
+781
+01:09:15,580 --> 01:09:18,880
+بين ال algorithm هذه واحدة من ال data set المناسبة
+
+782
+01:09:18,880 --> 01:09:23,240
+عدد ال rows اللي فيها 150 row three classes خمسين
+
+783
+01:09:23,240 --> 01:09:28,560
+row في كل class طبعا زي بسم قلتلك هي عشان أنا أجرب
+
+784
+01:09:28,560 --> 01:09:33,520
+عليها الآن قرأت ال data set عادة ال data set تبعتي
+
+785
+01:09:35,720 --> 01:09:43,940
+هذه من الـ five attributes السبل
+
+786
+01:09:43,940 --> 01:09:48,500
+length و السبل width عرض أقول السبلة و ال beta
+
+787
+01:09:48,500 --> 01:09:52,960
+length و ال beta width عرض أقول البتلة تبع الزهرة
+
+788
+01:09:52,960 --> 01:09:59,800
+تمام؟ الكأس و الورقة تبع الزهرة و النوع النوع اسمه
+
+789
+01:09:59,800 --> 01:10:00,180
+variety
+
+790
+01:10:04,190 --> 01:10:07,070
+Kindhand في الـ data set اللي أنا استخدمتها في
+
+791
+01:10:07,070 --> 01:10:10,510
+data تانية ممكن تسميها kind أو type أو citrus ال
+
+792
+01:10:10,510 --> 01:10:15,570
+iris type إلى أخرها هذا ال data set كلها جاية في
+
+793
+01:10:15,570 --> 01:10:19,890
+جدول واحد block واحد أنا الخطوة رقم واحد المفروض
+
+794
+01:10:19,890 --> 01:10:25,910
+أسويها مع أي عملية classification أفصل أفصل ما بين
+
+795
+01:10:25,910 --> 01:10:32,070
+ال label وال attributes كيف بدي أفصل بين ال label
+
+796
+01:10:32,070 --> 01:10:35,790
+وال attributes؟و قلت له ال attributes تبعتي تساوي
+
+797
+01:10:35,790 --> 01:10:40,930
+ال data set ضد ال drop ال variety drop لل variety
+
+798
+01:10:40,930 --> 01:10:45,470
+إيش يعني؟ يشيله بس من وين هيشيله؟ هيشيله من ال
+
+799
+01:10:45,470 --> 01:10:49,750
+data set و يحطها في data set جديد يسميه ليها
+
+800
+01:10:49,750 --> 01:10:54,470
+features و ليش قلت له x is equal 1؟ لأنه أنا بدي
+
+801
+01:10:54,470 --> 01:10:58,550
+أشيل columnالان بعضكم ممكن يخطئ ويروح يحط يقوله
+
+802
+01:10:58,550 --> 01:11:02,410
+الـ IRIS او ال data set equal كده بيصير يحدث عليها
+
+803
+01:11:02,410 --> 01:11:06,510
+بيلزم يحط in place true عشان يعدل على نفس ال data
+
+804
+01:11:06,510 --> 01:11:11,190
+set اللي هو شغال عليها انا هيك اخدت مين اخدت ال
+
+805
+01:11:11,190 --> 01:11:17,730
+features في data set جديدة بدي اخد ال labels او ال
+
+806
+01:11:17,730 --> 01:11:20,810
+target هقوله ال target تساوي ال data set dot
+
+807
+01:11:20,810 --> 01:11:24,570
+variety او ال data set
+
+808
+01:11:32,680 --> 01:11:37,640
+variety هانتعامل معاها as an instance من ال
+
+809
+01:11:37,640 --> 01:11:41,260
+framework اللي موجود عندك هان class وعتبرها
+
+810
+01:11:41,260 --> 01:11:43,900
+variable منه وأخدها منه مواشرة و هان روحت انت
+
+811
+01:11:43,900 --> 01:11:47,780
+اعتبرته ليها as dictionary او ك array او vector
+
+812
+01:11:47,780 --> 01:11:51,340
+وراح يقطعلك ايه ويقولك اتفضل هذه و هذه هديك نفس
+
+813
+01:11:51,340 --> 01:11:55,200
+النتيجة الان اللي هيصير عندي بعد هيك from the
+
+814
+01:11:55,200 --> 01:11:59,010
+escalars dot neighborsلأن هذه سلسلة algorithm
+
+815
+01:11:59,010 --> 01:12:07,370
+import nearest neighbor k and n ال model equal k
+
+816
+01:12:07,370 --> 01:12:10,970
+and n خمسة أخدت constructor و قلت له ال k تبعتي
+
+817
+01:12:10,970 --> 01:12:15,950
+خمسة و قلت له هاي ال association بين ال features و
+
+818
+01:12:15,950 --> 01:12:22,490
+ال label اللي عندي ال model dot fitبعد هي قلت له
+
+819
+01:12:22,490 --> 01:12:26,750
+اعمل prediction لمين؟ لـ model.neighbors ال test و
+
+820
+01:12:26,750 --> 01:12:32,070
+ال S ايش ال test؟ هي عبارة عن sample instance فيها
+
+821
+01:12:32,070 --> 01:12:35,650
+خمسة و تلاتة و ستة من عشرة واحد و اتنين و واحد و
+
+822
+01:12:35,650 --> 01:12:38,470
+سبعة قلت له re shape عشان يعمل ليهم as a vector
+
+823
+01:12:38,470 --> 01:12:43,030
+تتطابق تماما بال direction مع ال instances اللي
+
+824
+01:12:43,030 --> 01:12:46,130
+موجودة في ال predictions هذه خزنت انها ال value في
+
+825
+01:12:46,130 --> 01:12:50,180
+ال predictions مافيش ال predictions يا شبابهي
+
+826
+01:12:50,180 --> 01:12:58,240
+عبارة عن الـ Ray من خمس عناصر تمام؟ إيش فيها؟ فيها
+
+827
+01:12:58,240 --> 01:13:05,420
+الـ shortest distances ال distances أقصر مسافات مش
+
+828
+01:13:05,420 --> 01:13:07,880
+أنا بقوله دور على ال shortest five neighbors
+
+829
+01:13:07,880 --> 01:13:12,520
+فجابلي أقصر خمس مسافات هذا ال role أول في ال array
+
+830
+01:13:12,520 --> 01:13:18,010
+ال road تاني عبارة عن ال Rayفي ال index تبعت ال
+
+831
+01:13:18,010 --> 01:13:24,250
+instances أصحاب أقصر مسافات بضل عليك تاخد ال index
+
+832
+01:13:24,250 --> 01:13:29,210
+هدول و تروح تجيب ال label تبعتهم عشان إيش تعمل
+
+833
+01:13:29,210 --> 01:13:33,290
+بينهما voting وتاخد القيمة اللي موجودة الله
+
+834
+01:13:33,290 --> 01:13:35,910
+يعطيكوا العافية و بشوفكوا ان شاء الله لسبوع القادم
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns.srt
new file mode 100644
index 0000000000000000000000000000000000000000..4b5b5c5f55e64af44ae01888bd6b4d4d0bec0c8c
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns.srt
@@ -0,0 +1,980 @@
+
+1
+00:00:01,030 --> 00:00:02,950
+بسم الله الرحمن الرحيم والصلاة والسلام على الرسول الكريم
+
+2
+00:00:02,950 --> 00:00:05,610
+أهلا و أهلا بكم في التسجيل الأخير أو في
+
+3
+00:00:05,610 --> 00:00:08,670
+المقطع الأخير من موضوع الـ Association role. كنا
+
+4
+00:00:08,670 --> 00:00:12,050
+نتكلم في المحاضرة السابقة على الـ FP Growth وقبلها
+
+5
+00:00:12,050 --> 00:00:16,350
+أو في التسجيل السابق، عفواً، الـ FP Growth وشوفنا
+
+6
+00:00:16,350 --> 00:00:21,290
+فعلاً ال scalability والـ a priori algorithm سابقاً
+
+7
+00:00:21,290 --> 00:00:25,110
+وتركته أقول مثل هذا تحلوه لوحدكم عشان تتدربوا عليه
+
+8
+00:00:25,510 --> 00:00:30,450
+الآن، اللي هنتكلم فيه جزئية أن أنا فعلياً موضوع الـ
+
+9
+00:00:30,450 --> 00:00:37,450
+mining له different kinds of association rules. الـ
+
+10
+00:00:37,450 --> 00:00:40,730
+association
+
+11
+00:00:40,730 --> 00:00:46,330
+rules اللي عدى عبارة عن level واحد. فهل في مجال أن
+
+12
+00:00:46,330 --> 00:00:49,710
+أنا أتكلم على multilevel association rules بمعنى
+
+13
+00:00:49,710 --> 00:00:54,450
+آخر if then else then بالشكل هذا، involve concept
+
+14
+00:00:54,450 --> 00:00:57,050
+of different levels of abstraction. هل هذا ممكن؟
+
+15
+00:00:57,050 --> 00:00:59,890
+ممكن أو لا في الـ multidimensional association
+
+16
+00:00:59,890 --> 00:01:03,710
+rules involve more than one dimension. أنا شغال بـ
+
+17
+00:01:03,710 --> 00:01:08,900
+one dimension دائماً، اللي هي الـ ... الـ ... الـ ... الـ ...
+
+18
+00:01:08,900 --> 00:01:08,920
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+19
+00:01:08,920 --> 00:01:09,460
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+20
+00:01:09,460 --> 00:01:17,480
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ...
+
+21
+00:01:17,480 --> 00:01:19,020
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+22
+00:01:19,020 --> 00:01:19,060
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+23
+00:01:19,060 --> 00:01:19,620
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+24
+00:01:19,620 --> 00:01:19,720
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+25
+00:01:19,720 --> 00:01:20,540
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+26
+00:01:20,540 --> 00:01:21,420
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+27
+00:01:21,420 --> 00:01:24,100
+الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ ... الـ
+
+28
+00:01:24,100 --> 00:01:32,780
+الـ ... الـ ... الـ ... الـ ... الـ ... هذه عبارة عن
+
+29
+00:01:32,780 --> 00:01:37,920
+مسائل مفتوحة في موضوع الـ Association Rules ومازال
+
+30
+00:01:37,920 --> 00:01:43,900
+الناس يعملون/عمالون  بمحاولة العمل عليها. هل الـ quantitative
+
+31
+00:01:43,900 --> 00:01:47,480
+هل الـ numeric values، الـ attributes، احنا سابقاً شفنا
+
+32
+00:01:47,480 --> 00:01:53,000
+أن الـ item موجود، نفسه اشتراه وما اشتراهوش، yes و no
+
+33
+00:01:53,000 --> 00:01:56,660
+صح، حوّلناهم، ولا بنحول في بداية العملية وبنحولهم لـ
+
+34
+00:01:56,660 --> 00:01:59,460
+binary. طيب الآن هذا الـ value كان في عندي different
+
+35
+00:01:59,460 --> 00:02:02,940
+values، الـ numeric values، الـ quantitative. كيف ممكن
+
+36
+00:02:02,940 --> 00:02:06,240
+أنا أتعامل مع الـ association rules؟ كذلك من الشغلات
+
+37
+00:02:06,240 --> 00:02:09,260
+المهمة بالنسبة لنا في الموضوع، الـ measurement. احنا
+
+38
+00:02:09,260 --> 00:02:13,760
+تعرفنا على الـ support والـ confidence، وهذول
+
+39
+00:02:13,760 --> 00:02:17,520
+كانوا هم الأساس. طيب شو بده يصير لو أنا كان في عندي
+
+40
+00:02:17,520 --> 00:02:20,940
+large support و large confidence، لو أنا كان هذول
+
+41
+00:02:20,940 --> 00:02:24,100
+كبار جداً، يعني هو رح يصير في عندي small number
+
+42
+00:02:24,100 --> 00:02:27,980
+من الـ association rules، بينموذجيني. يعني أن أنا في
+
+43
+00:02:27,980 --> 00:02:37,040
+عندي علاقة عكسية بين الـ support والـ
+
+44
+00:02:37,040 --> 00:02:44,990
+confidence وعدد الـ association rules. وبالتالي، كل ما
+
+45
+00:02:44,990 --> 00:02:49,690
+يزيد عدد الـ association rules بيقل العدد اللي موجود
+
+46
+00:02:49,690 --> 00:02:54,870
+عندهم الـ support، small. يعني أنا أتمنى، يعني ايش
+
+47
+00:02:54,870 --> 00:03:05,210
+أفضل الـ threshold أو the best threshold ممكن
+
+48
+00:03:05,210 --> 00:03:10,270
+أنا أطبقه في الـ finding أو في عملية البحث على الـ
+
+49
+00:03:10,270 --> 00:03:13,640
+association rules اللي موجودة عندي. كذلك أن أنا
+
+50
+00:03:13,640 --> 00:03:18,280
+ممكن يصير في موضوع الـ confidence والـ support بعض
+
+51
+00:03:18,280 --> 00:03:22,320
+الـ misleading أو بعض سوء الفهم. خلينا نشوف الـ
+
+52
+00:03:22,320 --> 00:03:26,820
+contingency table اللي موجود عندي هنا. عملوا
+
+53
+00:03:26,820 --> 00:03:33,210
+استطلاع على ٥٠٠ واحد، حاولوا... بيلعبوا... بيلعبوا
+
+54
+00:03:33,210 --> 00:03:37,230
+كرة سلة وبيشربوا... بين لاعبين كرة السلة و
+
+55
+00:03:37,230 --> 00:03:40,590
+بيشربوا حليب ولا ما بيشربوا. أو أخذوا ٥٠٠ واحد
+
+56
+00:03:40,590 --> 00:03:44,390
+واحد واشتغلوا عليه. فكان من الخمسمائة دول أن في
+
+57
+00:03:44,390 --> 00:03:48,390
+٢٠٠٠ بيقولوا أن كل لاعبين السلة لازم يشربوا الحليب
+
+58
+00:03:48,390 --> 00:03:51,570
+بينما ١٧٥٠ بيقولوا لأ، مش ضروري
+
+59
+00:03:51,570 --> 00:03:56,540
+اللي بيشربوا الحليب هولاء ما يكونوا بيلعبوا سلة. كذلك
+
+60
+00:03:56,540 --> 00:04:04,460
+في ١٠٠٠ قالوا لأ، شرب الحليب مش مرتبط باللعب
+
+61
+00:04:04,460 --> 00:04:10,140
+كرة السلة، و٢٥٠ قالوا لا بيشربوا حليب ولا
+
+62
+00:04:10,140 --> 00:04:15,410
+بيلعبوا سلة. يعني هو كأنه الاستطلاع بين رأيك أنت
+
+63
+00:04:15,410 --> 00:04:20,290
+بتشرب حليب وبتلعب كرة سلة، وتحاول أن تجمع الاثنين
+
+64
+00:04:20,290 --> 00:04:24,690
+مع بعض، يعني drinking milk و playing basketball هذول
+
+65
+00:04:24,690 --> 00:04:27,770
+binary tables أو binary attributes كانوا موجودين
+
+66
+00:04:27,770 --> 00:04:37,430
+عندي، هيهم playing و drinking، playing basketball والـ
+
+67
+00:04:37,430 --> 00:04:46,860
+values اللي موجودة عندها yes و no، والـ
+
+68
+00:04:46,860 --> 00:04:51,580
+العكس صحيح، موجود في الاثنين. تمام، وهكذا هي
+
+69
+00:04:51,580 --> 00:04:54,500
+الاستطلاع. فكانت الـ contingency table تبع الاستطلاع
+
+70
+00:04:54,500 --> 00:04:57,620
+هي من الـ contingency table اللي موجودة عندها. لما
+
+71
+00:04:57,620 --> 00:05:09,940
+أنا جاي أقول الـ ٢٠٠٠، تمام. النسبة ٤٠٪ لعب كرة السلة
+
+72
+00:05:09,940 --> 00:05:16,600
+يؤدي إلى شرب الحليب. الـ
+
+73
+00:05:16,600 --> 00:05:21,340
+Confidence
+
+74
+00:05:21,340 --> 00:05:29,640
+فعلياً ٢٠٠٠ على ٣٠٠٠، صحيح، لأن هؤلاء فئة الناس اللي
+
+75
+00:05:29,640 --> 00:05:33,900
+بتلعب السلة. فعدد مرتبط على الـ probability ٢٠٠٠
+
+76
+00:05:33,900 --> 00:05:36,280
+على عدد اللي بيلعبوا سلة، ثلاثة آلاف. الـ high
+
+77
+00:05:36,280 --> 00:05:41,160
+confidence أو الـ support تبع الأول على الـ support
+
+78
+00:05:41,160 --> 00:05:46,240
+تبع الـ association rule على الـ support تبع الأول
+
+79
+00:05:46,240 --> 00:05:49,600
+من الـ association rule. ٢٠٠٠ على ٣٠٠٠، سبعة
+
+80
+00:05:49,600 --> 00:05:55,730
+وسبعين في المائة. هذه الـ data is misleading، لأن الـ
+
+81
+00:05:55,730 --> 00:05:58,270
+over all عندي percentage بين الـ students أو بين
+
+82
+00:05:58,270 --> 00:06:02,310
+الناس اللي شاركوا في الاستطلاع، بيتكلموا عن شرب
+
+83
+00:06:02,310 --> 00:06:08,830
+الحليب هم حوالي خمسة وسبعين في المائة، تمام؟
+
+84
+00:06:08,830 --> 00:06:16,670
+وهذا الكلام أكثر من ستة وستين في المائة. طيب، تعالوا
+
+85
+00:06:16,670 --> 00:06:23,930
+نشوفها لو أنا جيت جبت أو أخذت الـ playing basketball
+
+86
+00:06:23,930 --> 00:06:24,610
+ونطلع
+
+87
+00:06:31,500 --> 00:06:36,520
+عشرة في المائة، لأن عشرة على خمسة آلاف وعشرة على
+
+88
+00:06:36,520 --> 00:06:37,240
+ثلاثة وثلاثين
+
+89
+00:06:42,770 --> 00:06:51,250
+لكن الـ support تبعها، الـ confidence والـ support
+
+90
+00:06:51,250 --> 00:06:58,330
+تبعها قليلة، وبالتالي أنا مش هاخد الـ rule هذا، لأن
+
+91
+00:06:58,330 --> 00:07:04,190
+هو فعلياً higher support و higher confidence بينما
+
+92
+00:07:04,190 --> 00:07:07,690
+هو misleading. وبالتالي موضوع الـ support والـ
+
+93
+00:07:07,690 --> 00:07:13,370
+confidence لحالهم هو غير كافٍ بالنسبة لنا في موضوع
+
+94
+00:07:13,370 --> 00:07:16,790
+الـ measuring تبع الـ Association Rules، لأنه كما
+
+95
+00:07:16,790 --> 00:07:20,970
+رأينا بنفسنا، يمكن أن يكون هناك misleading. ماهو الحل
+
+96
+00:07:20,970 --> 00:07:25,330
+اللي نحن نتكلم عنه؟ هل يمكن أن يكون هناك شيء آخر؟ هل
+
+97
+00:07:25,330 --> 00:07:28,950
+يمكن أن يكون هناك framework يشكل إضافة عندنا؟
+
+98
+00:07:36,110 --> 00:07:40,070
+الـ Correlation ممكن تستخدمها كمقياس، ممكن
+
+99
+00:07:40,070 --> 00:07:43,430
+تستخدمها كمقياس، تعمل تعمل تعمل تعمل تعمل تعمل
+
+100
+00:07:43,430 --> 00:07:44,910
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+101
+00:07:44,910 --> 00:07:45,010
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+102
+00:07:45,010 --> 00:07:45,270
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+103
+00:07:45,270 --> 00:07:45,630
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+104
+00:07:49,010 --> 00:07:54,510
+أنا ممكن أضيف الـ Correlation عشان يصير في عندي 
+
+105
+00:07:54,510 --> 00:07:58,350
+element ثالث مع الـ support والـ confidence عشان
+
+106
+00:07:58,350 --> 00:08:01,770
+أنا أشوف العلاقة. وبالتالي الـ Correlation مهم ليس
+
+107
+00:08:01,770 --> 00:08:06,210
+فقط بسبب الـ support والـ confidence، بل فقط بسبب الـ
+
+108
+00:08:06,210 --> 00:08:09,370
+Correlation بين الـ item set، العلاقة ما بين الـ item
+
+109
+00:08:09,370 --> 00:08:15,060
+set. احنا متفقين أن الـ A والـ B تقاطع بينهم من
+
+110
+00:08:15,060 --> 00:08:19,880
+البداية في نعم، والتقاطع بينهم في okay. هذا كلام
+
+111
+00:08:19,880 --> 00:08:23,180
+صحيح، يعني independent attributes. لكن هل في ممكن
+
+112
+00:08:23,180 --> 00:08:26,840
+يكون في Correlation بينهم واحنا مش شايفينه، أو الـ
+
+113
+00:08:26,840 --> 00:08:31,990
+Correlation هذا مش، أو لا ينتمي أو لا يمثل بجموعة من
+
+114
+00:08:31,990 --> 00:08:34,270
+الـ Item Sets أو من الـ Items اللي موجودين في الـ
+
+115
+00:08:34,270 --> 00:08:38,570
+Item Set. فممكن أنا أضيفه. كذلك، ممكن أنا أعتمد
+
+116
+00:08:38,570 --> 00:08:43,330
+أستخدم الـ Chi-Square، تمام، اللي لما اتكلمنا عليه
+
+117
+00:08:43,330 --> 00:08:47,690
+في الـ Correlation، أستخدم الـ Chi-Square لما
+
+118
+00:08:47,690 --> 00:08:50,850
+أكون في الـ Data اللي عندي هي categorial أو
+
+119
+00:08:50,850 --> 00:08:54,330
+nominal، أو أعتمد على شغل بنسميه احنا الـ lift
+
+120
+00:08:54,330 --> 00:08:57,790
+analysis أو الـ lift correlation وهو عبارة عن
+
+121
+00:08:57,790 --> 00:09:02,290
+Correlation.  سهلة الفكرة فيه، بكل بساطة أنه أنا
+
+122
+00:09:02,290 --> 00:09:06,830
+المفروض أن الـ item set، ظهورها الـ A والـ B
+
+123
+00:09:06,830 --> 00:09:11,370
+independent، والـ occurrence تبعتهم غير مرتبطة في
+
+124
+00:09:11,370 --> 00:09:15,360
+بعضها. وبالتالي، الـ probability تبع الـ A اتحاد الـ B
+
+125
+00:09:15,360 --> 00:09:20,100
+تساوي الـ probability للـ A في الـ probability للـ B.
+
+126
+00:09:20,100 --> 00:09:25,300
+otherwise، الـ A والـ B are dependent. يمكن أن يكون
+
+127
+00:09:25,300 --> 00:09:30,180
+بينهم dependency، والـ correlation كدليل على الـ
+
+128
+00:09:30,180 --> 00:09:35,270
+dependency اللي موجودة عندهم. فبكل بساطة ممكن أنا
+
+129
+00:09:35,270 --> 00:09:37,790
+احنا اتفقنا كمان مرة لجماعة، الخيار أنه أنا بدي
+
+130
+00:09:37,790 --> 00:09:40,970
+أضيف الـ correlation. الـ correlation هذه إما بتكون Chi
+
+131
+00:09:40,970 --> 00:09:47,550
+Square، تمام، أو بتكون اللي هي الـ lift، أو بتكون الـ
+
+132
+00:09:47,550 --> 00:09:50,350
+lift measurement. الـ lift بقول لي، لو كان في عندي
+
+133
+00:09:50,350 --> 00:09:55,360
+association rule A و B، A plus B as defined as
+
+134
+00:09:55,360 --> 00:10:00,020
+الـ lift بعرف لي إياها، أنها تساوي الـ probability للاتحادهم
+
+135
+00:10:00,020 --> 00:10:04,660
+على الـ probability حاصل ضربهم. وهذه تساوي الـ
+
+136
+00:10:04,660 --> 00:10:06,780
+probability للـ B difference الـ A على الـ
+
+137
+00:10:06,780 --> 00:10:10,160
+probability للـ B. الكلام أسهل بعيداً عن الـ
+
+138
+00:10:10,160 --> 00:10:14,260
+probability. الـ lift تساوي الـ confidence للـ A والـ B
+
+139
+00:10:14,260 --> 00:10:18,140
+على الـ support تبع الـ B. سابقاً الـ confidence هي
+
+140
+00:10:18,140 --> 00:10:23,720
+كانت الـ support تبع الـ A والـ B. الـ confidence
+
+141
+00:10:23,720 --> 00:10:29,260
+اللي كانت الـ support للـ A تبع الـ B على الـ
+
+142
+00:10:29,260 --> 00:10:35,340
+support تبع الـ A. الآن ستصبح المسألة كلها، يتضاف لها
+
+143
+00:10:35,340 --> 00:10:40,760
+الـ support تبع الـ B وهكذا سأكون حققت الـ
+
+144
+00:10:40,760 --> 00:10:44,940
+probability اللي موجودة عندها. وبالتالي هي عبارة عن
+
+145
+00:10:44,940 --> 00:10:51,460
+الـ Ratio of confidence to expected confidence
+
+146
+00:10:51,460 --> 00:10:55,940
+وهكذا أنا أتكلم أن هاتي عندي مقياس ثالث ممكن يكون
+
+147
+00:10:55,940 --> 00:10:59,660
+يضيف لي تحسين على موضوع الـ selection للـ rules
+
+148
+00:10:59,660 --> 00:11:03,720
+والأصل أنه أنا كل ما بيجي lift المفروض أن الـ lift
+
+149
+00:11:03,720 --> 00:11:08,340
+عشان أقدر أفهمها صح. إذا كانت الـ lift قيمتها أكبر
+
+150
+00:11:08,340 --> 00:11:12,240
+من واحد معناته positively correlated، معناته إذا
+
+151
+00:11:12,240 --> 00:11:18,260
+ظهر الأول هيظهر الثاني. طبعاً هذه إشارة جيدة.
+
+152
+00:11:18,260 --> 00:11:25,260
+Negatively correlated، أقل من واحد، معناته إذا الـ...
+
+153
+00:11:25,260 --> 00:11:30,440
+discouraged occurrence... معناته ظهور الأول لن
+
+154
+00:11:30,440 --> 00:11:35,660
+يظهر الثاني. وإذا كانت واحد معناته هذول الاثنين
+
+155
+00:11:35,660 --> 00:11:40,260
+independent ومافيش correlation ما بينهم. وبالتالي الـ...
+
+156
+00:11:40,260 --> 00:11:45,790
+الآن لو أنا سألت مين أفضل بالنسبة لي؟ مين يدعي
+
+157
+00:11:45,790 --> 00:11:49,170
+support أكثر، مين يدعي موثوقية أكثر في الـ confidence
+
+158
+00:11:49,170 --> 00:11:56,990
+المفروض لما تكون الـ... الـ... الـ lift عندي أكبر من
+
+159
+00:11:56,990 --> 00:12:00,380
+واحد، أروح لما تكون العلاقة independent، أقول
+
+160
+00:12:00,380 --> 00:12:03,680
+بالعكس، اللي لما تكون الـ lift أقل من واحد، معناته
+
+161
+00:12:03,680 --> 00:12:09,100
+في عندي مشكلة حقيقية في الـ association rule اللي
+
+162
+00:12:09,100 --> 00:12:14,400
+ظهر عندي، لأنه قيمته، المفروض لما يظهر واحد يختفي
+
+163
+00:12:14,400 --> 00:12:16,780
+الثاني. طيب ليش ظهروا الاثنين مع بعض في الـ
+
+164
+00:12:16,780 --> 00:12:18,980
+association rule هذا؟ معناته في عندي مشكلة
+
+165
+00:12:18,980 --> 00:12:23,060
+وبالتالي الـ rule هذا لازم أنا أتخلص منه. هيك ممكن
+
+166
+00:12:23,060 --> 00:12:25,200
+احنا خلصنا محتويات الـ chapter، إن شاء الله تعالى
+
+167
+00:12:25,200 --> 00:12:29,470
+خلينا نروح نشوف المثال اللي قمت بعمله مسبقاً في
+
+168
+00:12:29,470 --> 00:12:30,390
+الـ PyCharm
+
+169
+00:12:54,110 --> 00:12:56,910
+طيب، جماعة الخير، خلينا نكمل في الفيديو نشوف الـ
+
+170
+00:12:56,910 --> 00:13:00,630
+example
+
+171
+00:13:00,630 --> 00:13:04,410
+اللي موجود عندنا. أنا الآن بروح جوجل، أعمل import للـ
+
+172
+00:13:04,410 --> 00:13:11,030
+pandas، وعملياً بدي أبني data set، transaction من six
+
+173
+00:13:11,030 --> 00:13:17,040
+rows، من ست صفوف، وبدي أعمل import للعنصر من طريق الـ
+
+174
+00:13:17,040 --> 00:13:20,540
+machine learning extend، بدي processing import
+
+175
+00:13:20,540 --> 00:13:23,480
+transaction encoder، وهذا الـ transaction encoder
+
+176
+00:13:23,480 --> 00:13:27,080
+أنا هستخدمه من أجل أنه يحول الـ data set اللي
+
+177
+00:13:27,080 --> 00:13:31,900
+عندي، الـ data set هذه،
+
+223
+00:16:45,490 --> 00:16:53,590
+بالطبع طبعت الهاتف الخاص بالهاتف الخاص بالهاتف
+
+224
+00:16:53,590 --> 00:16:53,770
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+225
+00:16:53,770 --> 00:16:54,250
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+226
+00:16:54,250 --> 00:16:54,490
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+227
+00:16:54,490 --> 00:16:54,530
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+228
+00:16:54,530 --> 00:16:54,570
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+229
+00:16:54,570 --> 00:16:59,450
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+230
+00:16:59,450 --> 00:17:03,190
+طبعاً أنا طبعتها ثلاث مرات في ثلاث جمال قباضة
+
+231
+00:17:03,190 --> 00:17:07,670
+الجملة الأولى كانت بالـ array أو اللي إحنا سميناها
+
+232
+00:17:07,670 --> 00:17:12,810
+بـ binary 2D array هي راح تطبع الـ array اللي موجودة
+
+233
+00:17:12,810 --> 00:17:19,250
+عندي من ست صفوف true
+
+234
+00:17:19,250 --> 00:17:20,030
+false
+
+235
+00:17:25,230 --> 00:17:28,910
+الجملة الثانية جملة الطباعة كانت بتطبع الـ item set
+
+236
+00:17:28,910 --> 00:17:32,590
+اللي عندي و الـ support تبعتها، فراح جاب لي هاي الـ item
+
+237
+00:17:32,590 --> 00:17:35,350
+set، وطبعاً لما أنا قلت له استخدم أسماء الـ
+
+238
+00:17:35,350 --> 00:17:40,650
+attributes، فهي راح جاب لي الـ eggs وجاب ليها هان لو
+
+239
+00:17:40,650 --> 00:17:45,030
+أنا قلت له  نوم مش حاطين عندي هاي الـ minimum support
+
+240
+00:17:45,030 --> 00:17:53,650
+الـ 6 من 10 اللي موجودة عندك، هان جاب لي هنا ستة
+
+241
+00:17:53,650 --> 00:17:58,610
+عناصر فعلياً مختلفة، أو عفواً ست frequent item sets
+
+242
+00:17:58,610 --> 00:18:01,970
+with minimum support ستة من عشرة، أنا قصدت أن
+
+243
+00:18:01,970 --> 00:18:05,050
+أجربها، ما بتطلع مثلها الآخر، فالجملة الأخيرة لما قلت
+
+244
+00:18:05,050 --> 00:18:07,950
+له هات لي الـ association rule، فراح قال لي الـ
+
+245
+00:18:07,950 --> 00:18:12,570
+association rule هي الـ antecedent أو الـ consequent
+
+246
+00:18:12,570 --> 00:18:17,610
+طبعاً في الأول الـ antecedent implies الـ consequent
+
+247
+00:18:17,770 --> 00:18:21,450
+هو الـ antecedent support، وطبعاً في معلومات هنا
+
+248
+00:18:21,450 --> 00:18:27,630
+خفية لأن شاشة العرض أعتقد أنها غير كافية للتعامل
+
+249
+00:18:27,630 --> 00:18:31,630
+مع  الأنصار الموجودة عندها، لكن في الآخر قال لي هي
+
+250
+00:18:31,630 --> 00:18:37,880
+الـ left، وفي عند الـ average، طبعاً الـ lift واحد يعني
+
+251
+00:18:37,880 --> 00:18:42,400
+الـ attributes اللي عندي independent فعلياً، هم ما بيوجدش
+
+252
+00:18:42,400 --> 00:18:45,240
+يوجد علاقة، وبالتالي أنا ممكن أكتفي بالـ support والـ
+
+253
+00:18:45,240 --> 00:18:51,800
+confidence اللي موجودة عندنا، طيب لو أنا بدي أروح
+
+254
+00:18:51,800 --> 00:18:55,900
+طبعاً خليني بس نجرب هنا زي ما قلنا هاي هنا خمسة أو
+
+255
+00:18:55,900 --> 00:19:02,580
+بلاش أربعة من عشرة، هذه هي ترشيلتي الخاصة بها
+
+256
+00:19:16,120 --> 00:19:22,460
+عندما قلت له
+
+257
+00:19:22,460 --> 00:19:26,660
+خلي الـ confidence خمسة من عشرة، فقال لي عندي ثلاثة
+
+258
+00:19:26,660 --> 00:19:33,440
+وعشرين rules association، والـ support تبعتهم هيها
+
+259
+00:19:47,420 --> 00:19:51,500
+العناصر الموجودة هنا
+
+260
+00:20:10,880 --> 00:20:15,900
+بس ليش ما يعرضهاش؟ مش عارف الصحيح، بس في الآخر الـ
+
+261
+00:20:15,900 --> 00:20:19,200
+data موجودة عليها، طيب بالمثال الثاني لما أنا بدأت
+
+262
+00:20:19,200 --> 00:20:23,800
+أستخدم الـ app الـ fp growth، ولش مجرد بدك تستخدم
+
+263
+00:20:23,800 --> 00:20:28,740
+بكتب اسمه python fp growth، هي نفس الـ data set، قلت
+
+264
+00:20:28,740 --> 00:20:32,860
+له الـ frequent pattern تبعتي، الـ minimum support
+
+265
+00:20:32,860 --> 00:20:37,680
+تبعتي equal 3، وهنا بيقول الـ 7 من 10 مش 6 من 10
+
+266
+00:20:37,680 --> 00:20:43,020
+عفواً الحساب زي ما أنا... طبعاً هنا التجريب هيرجع
+
+267
+00:20:43,020 --> 00:20:51,140
+للمثال اللي موجود هنا طبعاً
+
+268
+00:20:51,140 --> 00:20:56,240
+هنا بتكلم على الابريوري، وإن كان هنا الـ FP growth
+
+269
+00:20:56,240 --> 00:20:58,460
+defined frequent pattern، الـ data الـ data set
+
+270
+00:20:58,460 --> 00:21:03,100
+مباشرة، لاحظوا أنا جزئية التحويل مش مسئوليتي أصلاً
+
+271
+00:21:04,100 --> 00:21:10,120
+لأن بشتغل على الـ data set مباشرة، الاثنين مجرد كان
+
+272
+00:21:10,120 --> 00:21:11,820
+السبعة مباشرة، طبعاً أسهل في الـ coding
+
+273
+00:21:17,200 --> 00:21:20,040
+الـ FP Growth and Generate Association Rules، فقلت
+
+274
+00:21:20,040 --> 00:21:22,060
+له أنا هاي الـ better أو هاي الـ association
+
+275
+00:21:22,060 --> 00:21:26,540
+التابعة لي تمام، الـ better التابعة هي الـ milk طبعاً
+
+276
+00:21:26,540 --> 00:21:32,060
+اتفقنا أن الـ better هي عبارة عن العناصر اللي أنا
+
+277
+00:21:32,060 --> 00:21:37,040
+عاملها، بجيبها طبعاً، هو بدأ مع عنصر وعنصرين الآخرين
+
+278
+00:21:37,040 --> 00:21:39,740
+لما راح جاب الـ association rule، وكيف بدأ أقرأ الـ
+
+279
+00:21:39,740 --> 00:21:42,680
+rules، هي الـ rule الأول، طبعاً هي عبارة عن جيسون في
+
+280
+00:21:42,680 --> 00:21:45,840
+الآخر، النتيجة تبع لي الـ rule الأول هي
+
+281
+00:21:51,680 --> 00:21:57,640
+الملك، يعني كيندي
+
+282
+00:21:57,640 --> 00:22:02,680
+بيز واليوجرت، وهذا الـ confidence تبعها خمسة و
+
+283
+00:22:02,680 --> 00:22:10,240
+سبعين في المئة، الثانية الـ support تبعها مئة في
+
+284
+00:22:10,240 --> 00:22:14,080
+المئة، إلى آخرهم من العناصر، الـ confidence عفواً من
+
+285
+00:22:14,080 --> 00:22:16,980
+العناصر الموجودة هنا، هذه كانت جامعة الخير...
+
+286
+00:22:16,980 --> 00:22:24,540
+انتهينا من موضوع الـ... الـ association rule... هرفق
+
+287
+00:22:24,540 --> 00:22:29,580
+لكم ملفين الـ coding هنا... عشان تجربوا في موضوع...
+
+288
+00:22:29,580 --> 00:22:35,440
+لو بقيت تجرب... شغلة عندك... وتشوف الـ result اللي
+
+289
+00:22:35,440 --> 00:22:37,260
+موجود... الله يعطيكم العافية... والسلام عليكم
+
+290
+00:22:37,260 --> 00:22:37,720
+ورحمة الله
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..536fa77a349a100a5cc7f84c7c1566c6de75cb56
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_postprocess.srt
@@ -0,0 +1,1160 @@
+1
+00:00:01,030 --> 00:00:02,950
+بسم الله الرحمن الرحيم والصلاة والسلام على الرسول
+
+2
+00:00:02,950 --> 00:00:05,610
+الله أهلا و أهلا بكم في التسجيل الأخير أو في
+
+3
+00:00:05,610 --> 00:00:08,670
+المقطع الأخير من موضوع الـ Association role كنا
+
+4
+00:00:08,670 --> 00:00:12,050
+نتكلم في المحاضرة السابقة على ال FP Growth وقبلنا
+
+5
+00:00:12,050 --> 00:00:16,350
+.. أو في التسجيل السابق عفوا ال FP Growth وشوفنا
+
+6
+00:00:16,350 --> 00:00:21,290
+فعلا ال scalability و ال a priori algorithm سابقا
+
+7
+00:00:21,290 --> 00:00:25,110
+وطركني أقول مثل هذا تحلوه لوحدكم عشان تتدربوا عليه
+
+8
+00:00:25,510 --> 00:00:30,450
+الان اللى هنتكلم في جزئية ان انا فعليا موضوع ال
+
+9
+00:00:30,450 --> 00:00:37,450
+mining له different kinds of association rules ال
+
+10
+00:00:37,450 --> 00:00:40,730
+association
+
+11
+00:00:40,730 --> 00:00:46,330
+rules اللى عدي عبارة عن level واحدفهل في مجالي ان
+
+12
+00:00:46,330 --> 00:00:49,710
+انا اتكلم على multilevel association rules بمعنى
+
+13
+00:00:49,710 --> 00:00:54,450
+اخر if then else then بالشكل هذا involve concept
+
+14
+00:00:54,450 --> 00:00:57,050
+of different level of abstraction هل هذا ممكن
+
+15
+00:00:57,050 --> 00:00:59,890
+ممتاح او لا في ال multidimensional association
+
+16
+00:00:59,890 --> 00:01:03,710
+rules involve more than one dimension انا شغال ب
+
+17
+00:01:03,710 --> 00:01:08,900
+one dimension دائمااللي هي ال .. ال .. ال .. ال ..
+
+18
+00:01:08,900 --> 00:01:08,920
+ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال
+
+19
+00:01:08,920 --> 00:01:09,460
+.. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+20
+00:01:09,460 --> 00:01:17,480
+ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+21
+00:01:17,480 --> 00:01:19,020
+ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال
+
+22
+00:01:19,020 --> 00:01:19,060
+.. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+23
+00:01:19,060 --> 00:01:19,620
+ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال
+
+24
+00:01:19,620 --> 00:01:19,720
+.. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+25
+00:01:19,720 --> 00:01:20,540
+.. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+26
+00:01:20,540 --> 00:01:21,420
+ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال
+
+27
+00:01:21,420 --> 00:01:24,100
+.. ال .. ال .. ال .. ال .. ال .. ال .. ال .. ال ..
+
+28
+00:01:24,100 --> 00:01:32,780
+.. ال .. ال .. ال .. ال .. ال .. الهذه عبارة عن
+
+29
+00:01:32,780 --> 00:01:37,920
+مسائل مفتوحة في موضوع الـ Association Rules ومازال
+
+30
+00:01:37,920 --> 00:01:43,900
+الناس عمالها بتحاول تشتغل عليهاهل الـ quantitative
+
+31
+00:01:43,900 --> 00:01:47,480
+هل الـ numeric values الاتريبوتس احنا سابقا شفنا
+
+32
+00:01:47,480 --> 00:01:53,000
+ان ال item موجود نفسه اشتراه و مااشتراهوش yes و no
+
+33
+00:01:53,000 --> 00:01:56,660
+صح حرناهم و لا بتحول في بداية العملية و بتحولهم ل
+
+34
+00:01:56,660 --> 00:01:59,460
+binary طب الآن هذا ال value كان في عندي different
+
+35
+00:01:59,460 --> 00:02:02,940
+values ال numeric values ال quantitative كيف ممكن
+
+36
+00:02:02,940 --> 00:02:06,240
+انا اتعامل مع ال association rules كذلك من الشغلات
+
+37
+00:02:06,240 --> 00:02:09,260
+المهمة بالنسبة لنا في الموضوع ال measurement احنا
+
+38
+00:02:09,260 --> 00:02:13,760
+اتعرفنا على ال support و ال confidenceو هدولة
+
+39
+00:02:13,760 --> 00:02:17,520
+كانوا هم الأساس طيب شو بده يصير لو انا كان في عندي
+
+40
+00:02:17,520 --> 00:02:20,940
+large support و large confidence لو انا كان هدولة
+
+41
+00:02:20,940 --> 00:02:24,100
+كبارة جدا يعني هو سيكون صير في عندي small number
+
+42
+00:02:24,100 --> 00:02:27,980
+من ال association rules بينموزيني يعني ان انا في
+
+43
+00:02:27,980 --> 00:02:37,040
+عندي علاقة أرضية عكسية ما بين ال support و ال
+
+44
+00:02:37,040 --> 00:02:44,990
+confidence و العدد ال association rulesوبالتالي كل
+
+45
+00:02:44,990 --> 00:02:49,690
+ما بزيد ال association rules بجل العدد اللي موجود
+
+46
+00:02:49,690 --> 00:02:54,870
+عندهم ال support small يعني انا اتومنس يعني ايش
+
+47
+00:02:54,870 --> 00:03:05,210
+افضل ال threshold او the best threshold ممكن
+
+48
+00:03:05,210 --> 00:03:10,270
+انا اطبقه في ال finding او في عملية البحث على ال
+
+49
+00:03:10,270 --> 00:03:13,640
+association rules اللي موجودة عندهمكذلك ان انا
+
+50
+00:03:13,640 --> 00:03:18,280
+ممكن يصير في موضوع ال confidence وال support بعض
+
+51
+00:03:18,280 --> 00:03:22,320
+ال misleading او بعض السوء الفهم خلينا نشوف ال
+
+52
+00:03:22,320 --> 00:03:26,820
+contingency table اللي موجود عندي هنا عملوا
+
+53
+00:03:26,820 --> 00:03:33,210
+استطلاع من 500 واحدحاول انه .. بيلعبوا .. بيلعبوا
+
+54
+00:03:33,210 --> 00:03:37,230
+كرة سلة و بيشربوا .. بين لعبين الكرة السلة و
+
+55
+00:03:37,230 --> 00:03:40,590
+بيشربوا حليب ولا مابيشربوش او خيانة اخد خمس سلاف
+
+56
+00:03:40,590 --> 00:03:44,390
+واحد و اشتغلوا ايه فكان من الخمس سلاف دول انه في
+
+57
+00:03:44,390 --> 00:03:48,390
+ألفين بيقولوا ان كل لعبين السلة لازم يشربوا الحليب
+
+58
+00:03:48,390 --> 00:03:51,570
+بينما ألف وسبعمائة و خمسين بيقولوا لأ مش ضروري
+
+59
+00:03:51,570 --> 00:03:56,540
+اللي بيشربوا الحليب هدول ما يكونوا بيلعبوا سلةكذلك
+
+60
+00:03:56,540 --> 00:04:04,460
+في الوف قالوا لأ الشرب الحليب مش مرتبط باللعب
+
+61
+00:04:04,460 --> 00:04:10,140
+السلة كرة السلة و 250 قالوا لا بيشربوا حليب ولا
+
+62
+00:04:10,140 --> 00:04:15,410
+بيلعبوا سلةيعني هو كأنه الاستطلاع بين رأيك انت
+
+63
+00:04:15,410 --> 00:04:20,290
+بتشرب حلو و بتلعب كرة سلة و تحاول أن تلعب انصارين
+
+64
+00:04:20,290 --> 00:04:24,690
+مع بعض يعني drinking milk و playing football هدولة
+
+65
+00:04:24,690 --> 00:04:27,770
+binary tables او binary attributes كانوا موجودين
+
+66
+00:04:27,770 --> 00:04:37,430
+عندي هيهم playing و drinking playing basketball و
+
+67
+00:04:37,430 --> 00:04:46,860
+ال values اللي موجودة عندهاyes و no و
+
+68
+00:04:46,860 --> 00:04:51,580
+العكس صحيح موجود في التنين تمام و هكذا هي
+
+69
+00:04:51,580 --> 00:04:54,500
+الاستطلاع فكانت ال contingency table تبع الاستطلاع
+
+70
+00:04:54,500 --> 00:04:57,620
+هي من ال contingency table اللي موجود عندها لما
+
+71
+00:04:57,620 --> 00:05:09,940
+انا جاعد بقول الفين تمامالنسبة 40% لعب كرة السلة
+
+72
+00:05:09,940 --> 00:05:16,600
+يؤدي إلى شرب الحليب الـ
+
+73
+00:05:16,600 --> 00:05:21,340
+Confidence
+
+74
+00:05:21,340 --> 00:05:29,640
+فعليا 2000 على 3000مصبوط لأن هؤلاء فئة الناس اللي
+
+75
+00:05:29,640 --> 00:05:33,900
+بتلعب السلة فعدد مرتبط على ال probability ألفين
+
+76
+00:05:33,900 --> 00:05:36,280
+على عدد اللي بيلعبوا سلة تلت تلاف ال high
+
+77
+00:05:36,280 --> 00:05:41,160
+confidence او ال support تبعت الأول على ال support
+
+78
+00:05:41,160 --> 00:05:46,240
+تبعت ال association rule على ال support تبعت الأول
+
+79
+00:05:46,240 --> 00:05:49,600
+من ال association rule ألفين على تلت تلاف سبعة
+
+80
+00:05:49,600 --> 00:05:55,730
+وسبعين في المائة هذه ال data is misleadingلأن ال
+
+81
+00:05:55,730 --> 00:05:58,270
+over all عندى percentage بين ال students او بين
+
+82
+00:05:58,270 --> 00:06:02,310
+الناس اللى زى شمالهم الاستطلاع بتكلموا عن شرب
+
+83
+00:06:02,310 --> 00:06:08,830
+الحليب هم عمارة عن خمسة و سبعين في المية تمام؟
+
+84
+00:06:08,830 --> 00:06:16,670
+وهذا الكلام اكتر من ستة و ستين في المية طيب تعالى
+
+85
+00:06:16,670 --> 00:06:23,930
+نشوفها لو انا جيت جلبت او اخدت ال playing football
+
+86
+00:06:23,930 --> 00:06:24,610
+و نطت
+
+87
+00:06:31,500 --> 00:06:36,520
+عشرين في المية لان عشرة على خمسة ألف و عشرة على
+
+88
+00:06:36,520 --> 00:06:37,240
+تلاتة و تلاتين
+
+89
+00:06:42,770 --> 00:06:51,250
+لكن ال support تبعتها confidence و ال support
+
+90
+00:06:51,250 --> 00:06:58,330
+تبعتها مجلال وبالتالي أنا مش هاخد ال role هذا لأن
+
+91
+00:06:58,330 --> 00:07:04,190
+هو فعليا higher support و higher confidence بينما
+
+92
+00:07:04,190 --> 00:07:07,690
+هو misleading وبالتالي موضوع ال support و ال
+
+93
+00:07:07,690 --> 00:07:13,370
+confidence لحالهمهو غير كافي بالنسبة لنا في موضوع
+
+94
+00:07:13,370 --> 00:07:16,790
+الـ Measuring تبع الـ Association Roles لأنه كما
+
+95
+00:07:16,790 --> 00:07:20,970
+رأينا نفسنا يمكن أن يكون هناك Misleading ماهو الحل
+
+96
+00:07:20,970 --> 00:07:25,330
+اللي نحن نتكلم عنه؟ هل يمكن أن يكون هناك زوّر؟ هل
+
+97
+00:07:25,330 --> 00:07:28,950
+يمكن أن يكون هناك Framework يشكل إضافة عندنا؟
+
+98
+00:07:36,110 --> 00:07:40,070
+الـ Correlation ممكن تستخدمها كمجارية ممكن
+
+99
+00:07:40,070 --> 00:07:43,430
+تستخدمها كمجارية تعمل تعمل تعمل تعمل تعمل تعمل
+
+100
+00:07:43,430 --> 00:07:44,910
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+101
+00:07:44,910 --> 00:07:45,010
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+102
+00:07:45,010 --> 00:07:45,270
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+103
+00:07:45,270 --> 00:07:45,630
+تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل
+
+104
+00:07:49,010 --> 00:07:54,510
+أنا ممكن أضيف الـ Correlation عشان يصير في عندي ك
+
+105
+00:07:54,510 --> 00:07:58,350
+Element تالت مع ال support و ال confidence عشان
+
+106
+00:07:58,350 --> 00:08:01,770
+انا اشوف العلاقة وبالتالي ال Correlation Major ليس
+
+107
+00:08:01,770 --> 00:08:06,210
+فقط بسبب ال support و ال confidence بل فقط بسبب ال
+
+108
+00:08:06,210 --> 00:08:09,370
+Correlation بين ال item set العلاقة ما بين ال item
+
+109
+00:08:09,370 --> 00:08:15,060
+set احنا متفقين ان ال A و ال Bتقاطع بينهم من
+
+110
+00:08:15,060 --> 00:08:19,880
+البداية في نعم و التقاطع بينهم في okay هذا كلام
+
+111
+00:08:19,880 --> 00:08:23,180
+صحيح يعني independent attributes لكن هل في ممكن
+
+112
+00:08:23,180 --> 00:08:26,840
+يكون في correlation بينهم و احنا مش شايفينه او ال
+
+113
+00:08:26,840 --> 00:08:31,990
+correlation هذا مش او لا ينتميأو لا يمثل بجموعة من
+
+114
+00:08:31,990 --> 00:08:34,270
+الـ Item Sets أو من الـ Items اللي موجودين في الـ
+
+115
+00:08:34,270 --> 00:08:38,570
+Item Set فممكن أنا أضيفه كذلك ممكن أنا أعتمد
+
+116
+00:08:38,570 --> 00:08:43,330
+أستخدم الـ Chi-Square تمام اللي لما اتكلمنا على
+
+117
+00:08:43,330 --> 00:08:47,690
+الـفي الـ Correlation أستخدم الـ Tri-Square لما
+
+118
+00:08:47,690 --> 00:08:50,850
+أكون في الـ Data اللي عندي هي categorial أو
+
+119
+00:08:50,850 --> 00:08:54,330
+nominal أو أعتمد على شغل بنسميها احنا ال left
+
+120
+00:08:54,330 --> 00:08:57,790
+analysis أو ال left correlation وهو عبارة عن
+
+121
+00:08:57,790 --> 00:09:02,290
+Correlation سهل الفكرة فيه بكل بساطة انه انا
+
+122
+00:09:02,290 --> 00:09:06,830
+المفروض ان ال item set ظهورها ال A و ال B
+
+123
+00:09:06,830 --> 00:09:11,370
+independent و ال occurrence تبعتهم غير مرتبطة في
+
+124
+00:09:11,370 --> 00:09:15,360
+ابعاطهمبالتالي ال probability تبع ال A اتحاد ال B
+
+125
+00:09:15,360 --> 00:09:20,100
+تساوي ال probability لل A في ال probability لل B
+
+126
+00:09:20,100 --> 00:09:25,300
+otherwise ال A و ال B are dependent يمكن أن يكون
+
+127
+00:09:25,300 --> 00:09:30,180
+بينهم dependent و ال correlation as دليل على ال
+
+128
+00:09:30,180 --> 00:09:35,270
+dependency اللي موجودةعندها فبكل بساطة ممكن انا
+
+129
+00:09:35,270 --> 00:09:37,790
+احنا اتفقنا كمان مرة لجماعة الخيار انه انا بدي
+
+130
+00:09:37,790 --> 00:09:40,970
+اضيف ال correlation ال correlation هذه اما بتكون H
+
+131
+00:09:40,970 --> 00:09:47,550
+I Square تمام او بتكون اللي هي ال left او بتكون ال
+
+132
+00:09:47,550 --> 00:09:50,350
+left measurement ال left بقول ليه لو كان في عندي
+
+133
+00:09:50,350 --> 00:09:55,360
+association rule A و BAA plus B as defined as
+
+134
+00:09:55,360 --> 00:10:00,020
+اللفت بعرف ليها انه تساوي ال probability للاتحادهم
+
+135
+00:10:00,020 --> 00:10:04,660
+على ال probability ل الحصل ضربهم وهذه تساوي ال
+
+136
+00:10:04,660 --> 00:10:06,780
+probability لل B difference ال A على ال
+
+137
+00:10:06,780 --> 00:10:10,160
+probability لل B الكلام أسهل بعيدا عن ال
+
+138
+00:10:10,160 --> 00:10:14,260
+probability اللفته ساوي ال confidence لل A و ال B
+
+139
+00:10:14,260 --> 00:10:18,140
+على ال support تبع ال B سابقا ال confidence هي
+
+140
+00:10:18,140 --> 00:10:23,720
+كانتالـ Support تبع الـ A و الـ B الـ Confidence
+
+141
+00:10:23,720 --> 00:10:29,260
+التي كانت الـ Support للـ A تبع الـ B على الـ
+
+142
+00:10:29,260 --> 00:10:35,340
+Support تبع الـ A الآن ستصبح المسألة كلها يتضف لها
+
+143
+00:10:35,340 --> 00:10:40,760
+الـ Support تبع الـ B وهكذا سأكون حققت الـ
+
+144
+00:10:40,760 --> 00:10:44,940
+Probability اللي موجودة عندها وبالتالي هي عبارة عن
+
+145
+00:10:44,940 --> 00:10:51,460
+الـ Ratioof confidence to expected confidence
+
+146
+00:10:51,460 --> 00:10:55,940
+وهكذا انا اتكلم ان هاتي عندى major تالت ممكن يكون
+
+147
+00:10:55,940 --> 00:10:59,660
+يضيفلي تحسين على موضوع ال selection للمولودها
+
+148
+00:10:59,660 --> 00:11:03,720
+والاصل انه انا كل ما بيجيل ابت المفروض ان ال lift
+
+149
+00:11:03,720 --> 00:11:08,340
+عشان اقدر افهمها صح اذا كانت ال lift قيمتها اكبر
+
+150
+00:11:08,340 --> 00:11:12,240
+من واحد معناته positively correlated معناته اذا
+
+151
+00:11:12,240 --> 00:11:18,260
+ظهر الاول هيظهر التانيطبعا هذه إشارة جيدة
+
+152
+00:11:18,260 --> 00:11:25,260
+Negatively correlated أقل من واحد معناته إذا ال ..
+
+153
+00:11:25,260 --> 00:11:30,440
+Discouraged occurrence .. معناته الظهر الأول لن
+
+154
+00:11:30,440 --> 00:11:35,660
+يظهر الثاني وإذا كانت واحد معناته هدول الاتنين
+
+155
+00:11:35,660 --> 00:11:40,260
+independent ومافيش correlation ما بينهم وبالتالي
+
+156
+00:11:40,260 --> 00:11:45,790
+ال .. الآن لو أنا سألت مين أفضل بالنسبة ليمن يدعي
+
+157
+00:11:45,790 --> 00:11:49,170
+support اكتر من يدعي موثوقية اكتر في ال confidence
+
+158
+00:11:49,170 --> 00:11:56,990
+المفروض لما تكون ال .. ال .. ال left عندي اكبر من
+
+159
+00:11:56,990 --> 00:12:00,380
+واحد وراها لما تكون العلاقة independentأقول
+
+160
+00:12:00,380 --> 00:12:03,680
+بالتانية اللي لما تكون ال lift أقل من واحد معناته
+
+161
+00:12:03,680 --> 00:12:09,100
+في عندي مشكلة حقيقية في ال association role اللي
+
+162
+00:12:09,100 --> 00:12:14,400
+ظهر عندي لأنه قيمته المفروض لما يظهر واحد يختفي
+
+163
+00:12:14,400 --> 00:12:16,780
+التاني طب ليش ظهروا التانين مع بعض في ال
+
+164
+00:12:16,780 --> 00:12:18,980
+association role هذا معناته في عندي مشكلة
+
+165
+00:12:18,980 --> 00:12:23,060
+وبالتانية ال role هذا لازم انا اتخلص منها هيك ممكن
+
+166
+00:12:23,060 --> 00:12:25,200
+احنا خلصنا محتويات ال chapter ان شاء الله تعالى
+
+167
+00:12:25,200 --> 00:12:29,470
+خلينا نروحبنشوف المثال اللي قمت بعمله مسبقاً في
+
+168
+00:12:29,470 --> 00:12:30,390
+الـ PyShare
+
+169
+00:12:54,110 --> 00:12:56,910
+طيب جماعة الخير خلينا نكمل في الفيلم نشوف ال
+
+170
+00:12:56,910 --> 00:13:00,630
+example
+
+171
+00:13:00,630 --> 00:13:04,410
+اللى موجود عندنا انا الان فروح جوجل اعمل import لل
+
+172
+00:13:04,410 --> 00:13:11,030
+pandas وعملي بدي ابني data set transaction من six
+
+173
+00:13:11,030 --> 00:13:17,040
+rows من ست صفوف و بدي اعمل import للعن طريق الـ
+
+174
+00:13:17,040 --> 00:13:20,540
+machine learning extend بدي processing import
+
+175
+00:13:20,540 --> 00:13:23,480
+transaction encoder وهذا ال transaction encoder
+
+176
+00:13:23,480 --> 00:13:27,080
+انا هستخدمه من أجل انه يتحول ال data set اللي
+
+177
+00:13:27,080 --> 00:13:31,900
+لديها ال data set هذه ل binary array وكذلك من ال
+
+178
+00:13:31,900 --> 00:13:34,840
+نفس ال machine learning extend بدي استخدم ال
+
+179
+00:13:34,840 --> 00:13:39,180
+frequent pattern وعملها import لل apriori هشوف في
+
+180
+00:13:39,180 --> 00:13:41,660
+ال hand ال apriori وفي المثال في ال code اللي
+
+181
+00:13:41,660 --> 00:13:42,680
+وراها هشوف
+
+182
+00:13:46,820 --> 00:13:48,400
+الخطوة الأولى كما قلنا في الفيديو الأولى هي ال
+
+183
+00:13:48,400 --> 00:13:51,640
+data set transactional data set طبعا انا انشأت
+
+184
+00:13:51,640 --> 00:13:55,540
+menu اللى بحسب المثال اللى موجود هنا سابقا حكيته
+
+185
+00:13:55,540 --> 00:13:59,940
+يعنى الخطوة الأولى انا استدعيت ل transaction
+
+186
+00:13:59,940 --> 00:14:05,860
+encoder تمام عشان احول ال array هذا ل 2d array بعد
+
+187
+00:14:05,860 --> 00:14:11,350
+الخطوة التالية روحت قلت له انا transactionalعن
+
+188
+00:14:11,350 --> 00:14:16,830
+طريق اتساوية TE.FET.TRANSFORM للـ data set اللي
+
+189
+00:14:16,830 --> 00:14:21,430
+موجود عندها و لما احاول ان اكتب قمر طبعا عشان اشوف
+
+190
+00:14:21,430 --> 00:14:26,110
+ال code اللي موجود عندها بعد هيك ال transaction ال
+
+191
+00:14:26,110 --> 00:14:28,750
+array تبعت اللي هي ال binary ال race ان سميها زي
+
+192
+00:14:28,750 --> 00:14:36,780
+ما بدك بندس data frame روح تحولت ل data frameهنا
+
+193
+00:14:36,780 --> 00:14:43,380
+في الأول انشأت data set عادية الري حولتها ل binary
+
+194
+00:14:43,380 --> 00:14:46,240
+array و الأن بدي أحولها ل data frame عشان ده من
+
+195
+00:14:46,240 --> 00:14:50,980
+خلال ال pandas أقدر أتعامل معاها و قلت له هيستخدم
+
+196
+00:14:50,980 --> 00:14:56,000
+ال columnsهذا الـ array الموجودة عندها كcolumn لمن
+
+197
+00:14:56,000 --> 00:15:01,000
+ال data frame اللي موجودة عندها الآن قلت له ال
+
+198
+00:15:01,000 --> 00:15:04,380
+frequent item set تبعتي تساوي ال a priori اللي انا
+
+199
+00:15:04,380 --> 00:15:09,720
+عملته on board فوق ال data frame work ال data
+
+200
+00:15:09,720 --> 00:15:12,700
+frame تبعتي هي ال minimum support اللي انا بدي
+
+201
+00:15:12,700 --> 00:15:18,220
+اشتغل عليها ستة واستخدم ال column names yes
+
+202
+00:15:18,220 --> 00:15:23,140
+استخدمهم لان انا بتتعامل مع ال columnاللي بتمثل
+
+203
+00:15:23,140 --> 00:15:25,980
+الـ attribute of value أو الـ items في ال sets
+
+204
+00:15:25,980 --> 00:15:31,020
+اللي موجودة عندي ما تنسوش ان ال data set هنا مافيش
+
+205
+00:15:31,020 --> 00:15:36,740
+فيها columns هي عبارة عن items فلما انا حولتها ل
+
+206
+00:15:36,740 --> 00:15:41,560
+binary data set او binary 2D array صارت ال milk و
+
+207
+00:15:41,560 --> 00:15:47,840
+ال onion و ال .. ميج و ال ..والـ items هاي عبارة
+
+208
+00:15:47,840 --> 00:15:50,660
+عن attributes أو أسماء الـ attributes و ال value
+
+209
+00:15:50,660 --> 00:15:52,860
+تبعتهم ال true و ال false ولكن هنشوفها في الموضوع
+
+210
+00:15:52,860 --> 00:15:57,330
+لما انا اروح عند عملية الطبعةعشان هي قلت له
+
+211
+00:15:57,330 --> 00:16:02,370
+استخدمها لأن ال data set مبنية على ال names على
+
+212
+00:16:02,370 --> 00:16:06,290
+المسميات وبالتالي ال frequent item set فرح جاب
+
+213
+00:16:06,290 --> 00:16:08,610
+ليها ليش؟ أنا قلت له ال minimum support لأنه ممكن
+
+214
+00:16:08,610 --> 00:16:11,710
+تتجهل من هناك ال support انت حر ممكن تتغيرها حسب
+
+215
+00:16:11,710 --> 00:16:15,870
+الحالة واتفقنا كل ما بقل ال support بتزيد عدد ال
+
+216
+00:16:15,870 --> 00:16:19,150
+minimum أو ال frequent item set فروحت طبعة ال
+
+217
+00:16:19,150 --> 00:16:24,650
+frequent item setعشان انا اجيب ال item set روحت من
+
+218
+00:16:24,650 --> 00:16:28,850
+نفس المكتبة تبعتي ال frequent patterns اللي عملت
+
+219
+00:16:28,850 --> 00:16:32,690
+منها support او import لل a priori روحت استدعيت
+
+220
+00:16:32,690 --> 00:16:37,050
+مين اللي عملت import لل association rules وقلت له
+
+221
+00:16:37,050 --> 00:16:41,630
+ال list تبع ال rules تساوي ال frequent item setقمت
+
+222
+00:16:41,630 --> 00:16:45,490
+بالاستخدام الاستخدام الخاص بالاسوشيشن رول و قمت
+
+223
+00:16:45,490 --> 00:16:53,590
+بالطبع بإطباع الهاتف الخاص بالهاتف الخاص بالهاتف
+
+224
+00:16:53,590 --> 00:16:53,770
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+225
+00:16:53,770 --> 00:16:54,250
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+226
+00:16:54,250 --> 00:16:54,490
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+227
+00:16:54,490 --> 00:16:54,530
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+228
+00:16:54,530 --> 00:16:54,570
+الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص
+
+229
+00:16:54,570 --> 00:16:59,450
+بالهاتف الخاص بالهاتف الخاص بالهاتف الخاص بالهاتف
+
+230
+00:16:59,450 --> 00:17:03,190
+الخاصطبعا انا طبعت على تلت مرات في تلت جمال قباعة
+
+231
+00:17:03,190 --> 00:17:07,670
+الجملة الأولى كانت ب ال array او اللي احنا سميتها
+
+232
+00:17:07,670 --> 00:17:12,810
+ب binary2d array هيو راح اطبع لل array اللي موجودة
+
+233
+00:17:12,810 --> 00:17:19,250
+عندي من ست صفوف true
+
+234
+00:17:19,250 --> 00:17:20,030
+false
+
+235
+00:17:25,230 --> 00:17:28,910
+الجملة التانية جملة الطباعة كانت بتطبع ال item set
+
+236
+00:17:28,910 --> 00:17:32,590
+اللي عندي و ال support تبعتها فرح جالي هاي ال item
+
+237
+00:17:32,590 --> 00:17:35,350
+set و طبعا لما انا قلتله استخدم اسماء ال
+
+238
+00:17:35,350 --> 00:17:40,650
+attributes فهيش راح جابلي ال eggs و جابليها هان لو
+
+239
+00:17:40,650 --> 00:17:45,030
+انا قلتله نوم مش حطين عندي هاي ال minimum support
+
+240
+00:17:45,030 --> 00:17:53,650
+ال 6 من 10 اللي موجودة عندك هانفجاب لي هناك ست
+
+241
+00:17:53,650 --> 00:17:58,610
+عراصر فعليا مختلفة او عفوا ست frequent item sets
+
+242
+00:17:58,610 --> 00:18:01,970
+with minimum support بعتهم ستة من عشرة انا قصدت ان
+
+243
+00:18:01,970 --> 00:18:05,050
+اجربها مبتقال مثلها الاخر فالجملة الأخيرة لما قلت
+
+244
+00:18:05,050 --> 00:18:07,950
+له انا هات ال association rule فراح قال لي ال
+
+245
+00:18:07,950 --> 00:18:12,570
+association rule هي ال antecedent او ال consequent
+
+246
+00:18:12,570 --> 00:18:17,610
+طبعا في الأول ال antecedent implies ال consequent
+
+247
+00:18:17,770 --> 00:18:21,450
+هو الـ antecedent support وطبعاً في معلومات هنا
+
+248
+00:18:21,450 --> 00:18:27,630
+خفية لأن شاشة العرض أعتقد أنها غير كافية للتعامل
+
+249
+00:18:27,630 --> 00:18:31,630
+مع الأنصار الموجودة عندها لكن في الآخر قال لي هيي
+
+250
+00:18:31,630 --> 00:18:37,880
+ال left وفي عند ال averageطبعا ال lift واحد يعني
+
+251
+00:18:37,880 --> 00:18:42,400
+ال attributes اللي عندى independent فعليا هم مبدأش
+
+252
+00:18:42,400 --> 00:18:45,240
+يوجد علاقة وبالتالي انا ممكن اكتفي بال support وال
+
+253
+00:18:45,240 --> 00:18:51,800
+confidence اللي موجودة عندنا طيب لو انا بدى اروح
+
+254
+00:18:51,800 --> 00:18:55,900
+طبعا خليني بس نجرب هان زى ما قلنا هاي هان خمسة او
+
+255
+00:18:55,900 --> 00:19:02,580
+بلاش اربعة من عشرةهذه هي ترشيلتي الخاصة بيها
+
+256
+00:19:16,120 --> 00:19:22,460
+عندما قلت له
+
+257
+00:19:22,460 --> 00:19:26,660
+خلّي ال confidence خمسة من عشرة فقال لي عندي تلاتة
+
+258
+00:19:26,660 --> 00:19:33,440
+و عشرين rules association و ال support تبعتهم هيها
+
+259
+00:19:47,420 --> 00:19:51,500
+العناصر الموجودة هنا
+
+260
+00:20:10,880 --> 00:20:15,900
+بس ليش مايعرضهاش مش عارف الصحيح بس في الآخر ال
+
+261
+00:20:15,900 --> 00:20:19,200
+data موجودة عليها طيب بالمثال التاني لما انا بدأ
+
+262
+00:20:19,200 --> 00:20:23,800
+استخدم ال app ال fp growth ولشه مجرد بدك تستخدم
+
+263
+00:20:23,800 --> 00:20:28,740
+بكتب اسمه python fp growth هي نفس ال data set قلت
+
+264
+00:20:28,740 --> 00:20:32,860
+له ال frequent pattern تبعتي ال minimum support
+
+265
+00:20:32,860 --> 00:20:37,680
+تبعتي equal 3وهنا ايقول الـ 7 من 10 مش 6 من 10
+
+266
+00:20:37,680 --> 00:20:43,020
+عفوا الحسب زي ما انا .. طبعا هنا التجريب هيرن
+
+267
+00:20:43,020 --> 00:20:51,140
+للمثال اللي موجود هنا طبعا
+
+268
+00:20:51,140 --> 00:20:56,240
+هنا بتتكلم على الابريوليه وان كان هنا ال FB growth
+
+269
+00:20:56,240 --> 00:20:58,460
+defined frequent pattern ال data ال data set
+
+270
+00:20:58,460 --> 00:21:03,100
+مباشرة لاحظوا انا جزئيتي التحويل مش مسئوليتي اصلا
+
+271
+00:21:04,100 --> 00:21:10,120
+لان بشتغل على ال data set مباشرة اتنين مجرد كان
+
+272
+00:21:10,120 --> 00:21:11,820
+السبعة مباشرة طبعا اسهل في ال coding
+
+273
+00:21:17,200 --> 00:21:20,040
+الـ FD Growth and Generate Association Rules فقلت
+
+274
+00:21:20,040 --> 00:21:22,060
+له انا هاي ال better او هاي ال association
+
+275
+00:21:22,060 --> 00:21:26,540
+التابعتي تمام ال better التابعي هيه ال milk طبعا
+
+276
+00:21:26,540 --> 00:21:32,060
+اتفقنا ان ال better هي عبارة عن العناصر اللي انا
+
+277
+00:21:32,060 --> 00:21:37,040
+عامالي بجيبها طبعا هو بدأ مع انصر وانصرين الاخرين
+
+278
+00:21:37,040 --> 00:21:39,740
+لما راح جاب ال association rule و كيف بدأ اقرأ ال
+
+279
+00:21:39,740 --> 00:21:42,680
+rules هي ال rule الأول طبعا هي عبارة عن جيسون في
+
+280
+00:21:42,680 --> 00:21:45,840
+الآخر النتيجة تبعتي للي ال rule الأول هي
+
+281
+00:21:51,680 --> 00:21:57,640
+الملك يعني كيندي
+
+282
+00:21:57,640 --> 00:22:02,680
+بيز واليوغرد وهذا ال confidence تبعتها خمسة أو
+
+283
+00:22:02,680 --> 00:22:10,240
+سبعين في المية التانية ال support تبعتها مية في
+
+284
+00:22:10,240 --> 00:22:14,080
+المية إلى آخرهم من العراسر ال confidence عفوا من
+
+285
+00:22:14,080 --> 00:22:16,980
+العراسر الموجودة هناهذه كانت جامعة الخير ..
+
+286
+00:22:16,980 --> 00:22:24,540
+انتهينا من موضوع ال .. ال association role .. هرفق
+
+287
+00:22:24,540 --> 00:22:29,580
+لكم ملفين ال coding هنا .. عشان تجربوا في موضوع ..
+
+288
+00:22:29,580 --> 00:22:35,440
+لو بقيت تجرب .. شغلة عندك .. وتشوف ال result اللي
+
+289
+00:22:35,440 --> 00:22:37,260
+موجود .. الله يعطيكم العافية .. والسلام عليكم
+
+290
+00:22:37,260 --> 00:22:37,720
+ورحمة الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..dab4193f16d32fc87ad7f7edd0d126b90a1955e4
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/XptbH5_PJns_raw.json
@@ -0,0 +1 @@
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موجود", "probability": 0.9423828125}, {"start": 204.06, "end": 204.46, "word": " عندي", "probability": 0.5372314453125}, {"start": 204.46, "end": 204.7, "word": " هنا", "probability": 0.4130859375}, {"start": 204.7, "end": 206.82, "word": " عملوا", "probability": 0.6768798828125}, {"start": 206.82, "end": 207.32, "word": " استطلاع", "probability": 0.9610595703125}, {"start": 207.32, "end": 207.46, "word": " من", "probability": 0.95703125}, {"start": 207.46, "end": 207.88, "word": " 500", "probability": 0.6796875}, {"start": 207.88, "end": 208.48, "word": " واحد", "probability": 0.827392578125}], "temperature": 1.0}, {"id": 10, "seek": 23437, "start": 210.33, "end": 234.37, "text": "حاول انه .. بيلعبوا .. بيلعبوا كرة سلة و بيشربوا .. بين لعبين الكرة السلة و بيشربوا حليب ولا مابيشربوش او خيانة اخد خمس سلاف واحد و اشتغلوا ايه فكان من الخمس سلاف دول انه في ألفين بيقولوا ان كل لعبين السلة لازم يشربوا الحليب بينما ألف وسبعمائة و خمسين بيقولوا لأ مش ضروري اللي بيشربوا الحليب هدول ما يكونوا بيلعبوا سلة", "tokens": [5016, 995, 12610, 16472, 3224, 4386, 4724, 26895, 3615, 3555, 14407, 4386, 4724, 26895, 3615, 3555, 14407, 9122, 25720, 8608, 37977, 4032, 4724, 1829, 8592, 25513, 14407, 4386, 49374, 5296, 3615, 3555, 9957, 33251, 25720, 21136, 37977, 4032, 4724, 1829, 8592, 25513, 14407, 11331, 20292, 3555, 49429, 3714, 16758, 1829, 8592, 25513, 2407, 8592, 1975, 2407, 16490, 1829, 7649, 3660, 1975, 9778, 3215, 16490, 2304, 3794, 8608, 15040, 5172, 36764, 24401, 4032, 1975, 8592, 2655, 17082, 1211, 14407, 1975, 1829, 3224, 6156, 41361, 9154, 33962, 2304, 3794, 8608, 15040, 5172, 11778, 12610, 16472, 3224, 8978, 5551, 46538, 9957, 4724, 1829, 39648, 14407, 16472, 28242, 5296, 3615, 21292, 1863, 21136, 37977, 5296, 31377, 2304, 7251, 8592, 25513, 14407, 21542, 20292, 3555, 49374, 15042, 5551, 46538, 4032, 35457, 25957, 16373, 3660, 4032, 16490, 2304, 3794, 9957, 4724, 1829, 39648, 14407, 5296, 10721, 37893, 48812, 2288, 13063, 1829, 13672, 1829, 4724, 1829, 8592, 25513, 14407, 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بيشربوا", "probability": 0.81064453125}, {"start": 214.55, "end": 214.55, "word": " ..", "probability": 0.8076171875}, {"start": 214.55, "end": 214.85, "word": " بين", "probability": 0.92822265625}, {"start": 214.85, "end": 215.33, "word": " لعبين", "probability": 0.657623291015625}, {"start": 215.33, "end": 216.57, "word": " الكرة", "probability": 0.904052734375}, {"start": 216.57, "end": 217.07, "word": " السلة", "probability": 0.989990234375}, {"start": 217.07, "end": 217.23, "word": " و", "probability": 0.955078125}, {"start": 217.23, "end": 217.91, "word": " بيشربوا", "probability": 0.854736328125}, {"start": 217.91, "end": 218.25, "word": " حليب", "probability": 0.9853515625}, {"start": 218.25, "end": 218.45, "word": " ولا", "probability": 0.650390625}, {"start": 218.45, "end": 219.13, "word": " مابيشربوش", "probability": 0.8855329241071429}, {"start": 219.13, "end": 219.35, "word": " او", "probability": 0.71728515625}, {"start": 219.35, "end": 219.79, "word": " خيانة", 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"probability": 0.97216796875}, {"start": 228.95, "end": 229.17, "word": " ألف", "probability": 0.7412109375}, {"start": 229.17, "end": 229.69, "word": " وسبعمائة", "probability": 0.7517578125}, {"start": 229.69, "end": 229.79, "word": " و", "probability": 0.99462890625}, {"start": 229.79, "end": 230.17, "word": " خمسين", "probability": 0.9027099609375}, {"start": 230.17, "end": 230.51, "word": " بيقولوا", "probability": 0.9873046875}, {"start": 230.51, "end": 230.73, "word": " لأ", "probability": 0.97314453125}, {"start": 230.73, "end": 231.15, "word": " مش", "probability": 0.978515625}, {"start": 231.15, "end": 231.57, "word": " ضروري", "probability": 0.96826171875}, {"start": 231.57, "end": 231.65, "word": " اللي", "probability": 0.976318359375}, {"start": 231.65, "end": 232.01, "word": " بيشربوا", "probability": 0.97744140625}, {"start": 232.01, "end": 232.41, "word": " الحليب", "probability": 0.9915364583333334}, {"start": 232.41, "end": 232.67, "word": " هدول", "probability": 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"words": [{"start": 235.88, "end": 236.54, "word": "كذلك", "probability": 0.6966959635416666}, {"start": 236.54, "end": 237.2, "word": " في", "probability": 0.2177734375}, {"start": 237.2, "end": 237.52, "word": " الوف", "probability": 0.3546142578125}, {"start": 237.52, "end": 237.84, "word": " قالوا", "probability": 0.78125}, {"start": 237.84, "end": 238.2, "word": " لأ", "probability": 0.725830078125}, {"start": 238.2, "end": 239.82, "word": " الشرب", "probability": 0.69677734375}, {"start": 239.82, "end": 240.24, "word": " الحليب", "probability": 0.9597981770833334}, {"start": 240.24, "end": 240.4, "word": " مش", "probability": 0.6259765625}, {"start": 240.4, "end": 240.9, "word": " مرتبط", "probability": 0.989501953125}, {"start": 240.9, "end": 244.46, "word": " باللعب", "probability": 0.8621826171875}, {"start": 244.46, "end": 244.86, "word": " السلة", "probability": 0.962646484375}, {"start": 244.86, "end": 245.14, "word": " كرة", "probability": 0.5806884765625}, {"start": 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football هدولة binary tables او binary attributes كانوا موجودين عندي هيهم playing و drinking playing basketball و ال values اللي موجودة عندها", "tokens": [40228, 22653, 31439, 9122, 33456, 3224, 42963, 14851, 9566, 15040, 3615, 49374, 12602, 10721, 1829, 4117, 16472, 2655, 39894, 8592, 25513, 11331, 1211, 2407, 4032, 39894, 1211, 3615, 3555, 9122, 25720, 8608, 37977, 4032, 6055, 5016, 995, 12610, 14739, 6055, 1211, 3615, 3555, 16472, 9381, 9640, 9957, 20449, 45030, 11242, 37495, 22653, 7583, 5392, 4032, 2433, 7346, 8032, 3215, 12610, 3660, 17434, 8020, 1975, 2407, 17434, 17212, 25961, 14407, 3714, 29245, 23328, 9957, 18871, 16254, 39896, 16095, 2433, 4032, 7583, 2433, 11767, 4032, 2423, 4190, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 11296], "avg_logprob": -0.3696808523320137, "compression_ratio": 1.6398305084745763, "no_speech_prob": 0.0, "words": [{"start": 252.31, "end": 252.55, "word": "يعني", "probability": 0.511962890625}, {"start": 252.55, "end": 252.65, "word": " هو", 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"probability": 0.67822265625}, {"start": 258.69, "end": 259.07, "word": " تحاول", "probability": 0.766021728515625}, {"start": 259.07, "end": 259.19, "word": " أن", "probability": 0.427978515625}, {"start": 259.19, "end": 259.91, "word": " تلعب", "probability": 0.693115234375}, {"start": 259.91, "end": 260.29, "word": " انصارين", "probability": 0.53363037109375}, {"start": 260.29, "end": 260.41, "word": " مع", "probability": 0.9658203125}, {"start": 260.41, "end": 260.67, "word": " بعض", "probability": 0.963134765625}, {"start": 260.67, "end": 261.19, "word": " يعني", "probability": 0.6943359375}, {"start": 261.19, "end": 261.53, "word": " drinking", "probability": 0.284912109375}, {"start": 261.53, "end": 262.09, "word": " milk", "probability": 0.94189453125}, {"start": 262.09, "end": 262.35, "word": " و", "probability": 0.81640625}, {"start": 262.35, "end": 262.59, "word": " playing", "probability": 0.78125}, {"start": 262.59, "end": 263.19, "word": " football", "probability": 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0.93603515625}, {"start": 273.91, "end": 274.47, "word": " drinking", "probability": 0.9404296875}, {"start": 274.47, "end": 275.73, "word": " playing", "probability": 0.1624755859375}, {"start": 275.73, "end": 276.67, "word": " basketball", "probability": 0.685546875}, {"start": 276.67, "end": 277.43, "word": " و", "probability": 0.62060546875}, {"start": 277.43, "end": 277.55, "word": " ال", "probability": 0.859375}, {"start": 277.55, "end": 277.85, "word": " values", "probability": 0.96484375}, {"start": 277.85, "end": 278.05, "word": " اللي", "probability": 0.853271484375}, {"start": 278.05, "end": 278.57, "word": " موجودة", "probability": 0.980712890625}, {"start": 278.57, "end": 279.03, "word": " عندها", "probability": 0.66943359375}], "temperature": 1.0}, {"id": 13, "seek": 30238, "start": 280.58, "end": 302.38, "text": "yes و no و العكس صحيح موجود في التنين تمام و هكذا هي الاستطلاع فكانت ال contingency table تبع الاستطلاع هي من ال contingency table اللي موجود عندها لما انا جاعد 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"start": 469.01, "end": 493.07, "text": "أنا ممكن أضيف الـ Correlation عشان يصير في عندي ك Element تالت مع ال support و ال confidence عشان انا اشوف العلاقة وبالتالي ال Correlation Major ليس فقط بسبب ال support و ال confidence بل فقط بسبب ال Correlation بين ال item set العلاقة ما بين ال item set احنا متفقين ان ال A و ال B", "tokens": [10721, 8315, 3714, 43020, 5551, 11242, 33911, 2423, 39184, 3925, 4419, 399, 6225, 8592, 7649, 7251, 9381, 13546, 8978, 18871, 16254, 9122, 20900, 6055, 6027, 2655, 20449, 2423, 1406, 4032, 2423, 6687, 6225, 8592, 7649, 1975, 8315, 1975, 8592, 38688, 18863, 15040, 28671, 46599, 6027, 2655, 6027, 1829, 2423, 3925, 4419, 399, 15581, 32239, 3794, 6156, 47432, 4724, 35457, 3555, 2423, 1406, 4032, 2423, 6687, 4724, 1211, 6156, 47432, 4724, 35457, 3555, 2423, 3925, 4419, 399, 49374, 2423, 3174, 992, 18863, 15040, 28671, 19446, 49374, 2423, 3174, 992, 1975, 5016, 8315, 44650, 5172, 4587, 9957, 16472, 2423, 316, 4032, 2423, 363], "avg_logprob": 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" item", "probability": 0.9404296875}, {"start": 489.37, "end": 489.71, "word": " set", "probability": 0.87890625}, {"start": 489.71, "end": 490.19, "word": " احنا", "probability": 0.8317057291666666}, {"start": 490.19, "end": 490.89, "word": " متفقين", "probability": 0.948974609375}, {"start": 490.89, "end": 491.61, "word": " ان", "probability": 0.65966796875}, {"start": 491.61, "end": 491.95, "word": " ال", "probability": 0.84619140625}, {"start": 491.95, "end": 492.25, "word": " A", "probability": 0.463623046875}, {"start": 492.25, "end": 492.47, "word": " و", "probability": 0.732421875}, {"start": 492.47, "end": 492.65, "word": " ال", "probability": 0.62890625}, {"start": 492.65, "end": 493.07, "word": " B", "probability": 0.94140625}], "temperature": 1.0}, {"id": 22, "seek": 50958, "start": 493.66, "end": 509.58, "text": "تقاطع بينهم من البداية في نعم و التقاطع بينهم في okay هذا كلام صحيح يعني independent attributes لكن هل في ممكن يكون في correlation بينهم و احنا مش شايفينه او ال correlation هذا مش او لا ينتمي", "tokens": [2655, 4587, 41193, 3615, 49374, 16095, 9154, 29739, 28259, 10632, 8978, 8717, 25957, 4032, 16712, 4587, 41193, 3615, 49374, 16095, 8978, 1392, 23758, 28242, 10943, 20328, 5016, 1829, 5016, 37495, 22653, 6695, 17212, 44381, 8032, 1211, 8978, 3714, 43020, 7251, 30544, 8978, 20009, 49374, 16095, 4032, 1975, 5016, 8315, 37893, 13412, 995, 33911, 9957, 3224, 1975, 2407, 2423, 20009, 23758, 37893, 1975, 2407, 20193, 7251, 29399, 2304, 1829], "avg_logprob": -0.17742300206336423, "compression_ratio": 1.6519337016574585, "no_speech_prob": 1.3113021850585938e-06, "words": [{"start": 493.66, "end": 494.4, "word": "تقاطع", "probability": 0.782012939453125}, {"start": 494.4, "end": 494.86, "word": " بينهم", "probability": 0.94970703125}, {"start": 494.86, "end": 495.06, "word": " من", "probability": 0.802734375}, {"start": 495.06, "end": 496.0, "word": " البداية", "probability": 0.97509765625}, {"start": 496.0, "end": 496.52, "word": " في", "probability": 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فممكن", "probability": 0.8942057291666666}, {"start": 515.31, "end": 515.53, "word": " أنا", "probability": 0.521484375}, {"start": 515.53, "end": 516.53, "word": " أضيفه", "probability": 0.9373779296875}, {"start": 516.53, "end": 517.55, "word": " كذلك", "probability": 0.9091796875}, {"start": 517.55, "end": 517.87, "word": " ممكن", "probability": 0.923828125}, {"start": 517.87, "end": 518.03, "word": " أنا", "probability": 0.267333984375}, {"start": 518.03, "end": 518.57, "word": " أعتمد", "probability": 0.830078125}, {"start": 518.57, "end": 519.09, "word": " أستخدم", "probability": 0.84625244140625}, {"start": 519.09, "end": 519.27, "word": " الـ", "probability": 0.674072265625}, {"start": 519.27, "end": 519.43, "word": " Chi", "probability": 0.101318359375}, {"start": 519.43, "end": 520.15, "word": "-Square", "probability": 0.7777099609375}, {"start": 520.15, "end": 520.97, "word": " تمام", "probability": 0.931396484375}, {"start": 520.97, "end": 522.15, "word": " اللي", 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"text": "عن طريق الـ machine learning extend بدي processing import transaction encoder وهذا ال transaction encoder انا هستخدمه من أجل انه يتحول ال data set اللي لديها ال data set هذه ل binary array وكذلك من ال نفس ال machine learning extend بدي استخدم ال frequent pattern وعملها import لل apriori هشوف في ال hand ال apriori وفي المثال في ال code اللي وراها هشوف", "tokens": [3615, 1863, 23032, 16572, 4587, 2423, 39184, 3479, 2539, 10101, 4724, 16254, 9007, 974, 14425, 2058, 19866, 37037, 15730, 2423, 14425, 2058, 19866, 1975, 8315, 8032, 14851, 9778, 40448, 3224, 9154, 5551, 7435, 1211, 16472, 3224, 7251, 2655, 5016, 12610, 2423, 1412, 992, 13672, 1829, 5296, 16254, 11296, 2423, 1412, 992, 29538, 5296, 17434, 10225, 4032, 4117, 8848, 23275, 9154, 2423, 8717, 36178, 2423, 3479, 2539, 10101, 4724, 16254, 44713, 9778, 40448, 2423, 18004, 5102, 4032, 25957, 1211, 11296, 974, 24976, 1882, 470, 7386, 8032, 8592, 38688, 8978, 2423, 1011, 2423, 1882, 470, 7386, 4032, 41185, 9673, 12984, 6027, 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transaction", "probability": 0.484619140625}, {"start": 801.26, "end": 802.02, "word": " encoder", "probability": 0.946044921875}, {"start": 802.02, "end": 802.4, "word": " وهذا", "probability": 0.748779296875}, {"start": 802.4, "end": 802.5, "word": " ال", "probability": 0.798828125}, {"start": 802.5, "end": 802.92, "word": " transaction", "probability": 0.5029296875}, {"start": 802.92, "end": 803.48, "word": " encoder", "probability": 0.951904296875}, {"start": 803.48, "end": 803.64, "word": " انا", "probability": 0.57733154296875}, {"start": 803.64, "end": 804.52, "word": " هستخدمه", "probability": 0.9583984375}, {"start": 804.52, "end": 805.26, "word": " من", "probability": 0.8388671875}, {"start": 805.26, "end": 805.5, "word": " أجل", "probability": 0.9025065104166666}, {"start": 805.5, "end": 805.76, "word": " انه", "probability": 0.6494140625}, {"start": 805.76, "end": 806.14, "word": " يتحول", "probability": 0.775146484375}, {"start": 806.14, "end": 806.32, "word": " ال", 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وعملها", "probability": 0.7901611328125}, {"start": 816.76, "end": 817.38, "word": " import", "probability": 0.9482421875}, {"start": 817.38, "end": 817.8, "word": " لل", "probability": 0.76806640625}, {"start": 817.8, "end": 818.46, "word": " apriori", "probability": 0.6212666829427084}, {"start": 818.46, "end": 819.04, "word": " هشوف", "probability": 0.9217122395833334}, {"start": 819.04, "end": 819.18, "word": " في", "probability": 0.6611328125}, {"start": 819.18, "end": 819.26, "word": " ال", "probability": 0.437744140625}, {"start": 819.26, "end": 819.4, "word": " hand", "probability": 0.509765625}, {"start": 819.4, "end": 819.5, "word": " ال", "probability": 0.231201171875}, {"start": 819.5, "end": 819.92, "word": " apriori", "probability": 0.8543294270833334}, {"start": 819.92, "end": 820.12, "word": " وفي", "probability": 0.809814453125}, {"start": 820.12, "end": 820.56, "word": " المثال", "probability": 0.8570963541666666}, {"start": 820.56, "end": 821.22, "word": " في", "probability": 0.3642578125}, {"start": 821.22, "end": 821.34, "word": " ال", "probability": 0.64111328125}, {"start": 821.34, "end": 821.52, "word": " code", "probability": 0.970703125}, {"start": 821.52, "end": 821.66, "word": " اللي", "probability": 0.88134765625}, {"start": 821.66, "end": 822.04, "word": " وراها", "probability": 0.7264811197916666}, {"start": 822.04, "end": 822.68, "word": " هشوف", "probability": 0.8727213541666666}], "temperature": 1.0}, {"id": 36, "seek": 84952, "start": 826.82, "end": 849.52, "text": "الخطوة الأولى كما قلنا في الفيديو الأولى هي ال data set transactional data set طبعا انا انشأت menu اللى بحسب المثال اللى موجود هنا سابقا حكيته يعنى الخطوة الأولى انا استدعيت ل transaction encoder تمام عشان احول ال array هذا ل 2d array بعد الخطوة التالية روحت قلت له انا transactional", "tokens": [6027, 9778, 9566, 2407, 3660, 16247, 12610, 7578, 9122, 15042, 12174, 1211, 8315, 8978, 27188, 1829, 16254, 2407, 16247, 12610, 7578, 39896, 2423, 1412, 992, 14425, 304, 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"start": 850.67, "end": 874.49, "text": "عن طريق اتساوية TE.FET.TRANSFORM للـ data set اللي موجود عندها و لما احاول ان اكتب قمر طبعا عشان اشوف ال code اللي موجود عندها بعد هيك ال transaction ال array تبعت اللي هي ال binary ال race ان سميها زي ما بدك بندس data frame روح تحولت ل data frame", "tokens": [3615, 1863, 23032, 16572, 4587, 1975, 2655, 3794, 995, 2407, 10632, 19744, 13, 37, 4850, 13, 25936, 25711, 37, 2483, 44, 24976, 39184, 1412, 992, 13672, 1829, 3714, 29245, 23328, 43242, 11296, 4032, 5296, 15042, 1975, 5016, 995, 12610, 16472, 1975, 4117, 2655, 3555, 12174, 29973, 23032, 3555, 3615, 995, 6225, 8592, 7649, 1975, 8592, 38688, 2423, 3089, 13672, 1829, 3714, 29245, 23328, 43242, 11296, 39182, 39896, 4117, 2423, 14425, 2423, 10225, 6055, 3555, 34268, 13672, 1829, 39896, 2423, 17434, 2423, 4569, 16472, 8608, 2304, 1829, 11296, 30767, 1829, 19446, 47525, 4117, 4724, 41260, 3794, 1412, 3920, 12602, 2407, 5016, 6055, 5016, 12610, 2655, 5296, 1412, 3920], "avg_logprob": 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"probability": 0.6503092447916666}, {"start": 873.25, "end": 873.73, "word": " تحولت", "probability": 0.814453125}, {"start": 873.73, "end": 873.85, "word": " ل", "probability": 0.79638671875}, {"start": 873.85, "end": 874.05, "word": " data", "probability": 0.958984375}, {"start": 874.05, "end": 874.49, "word": " frame", "probability": 0.912109375}], "temperature": 1.0}, {"id": 38, "seek": 89144, "start": 876.12, "end": 891.44, "text": "هنا في الأول انشأت data set عادية الري حولتها ل binary array و الأن بدي أحولها ل data frame عشان ده من خلال ال pandas أقدر أتعامل معاها و قلت له هيستخدم ال columns", "tokens": [3224, 8315, 8978, 16247, 12610, 16472, 8592, 10721, 2655, 1412, 992, 6225, 18513, 10632, 2423, 16572, 11331, 12610, 2655, 11296, 5296, 5171, 822, 10225, 4032, 16247, 1863, 4724, 16254, 5551, 5016, 12610, 11296, 5296, 1412, 3920, 6225, 8592, 7649, 11778, 3224, 9154, 16490, 1211, 6027, 2423, 4565, 296, 5551, 28543, 2288, 5551, 2655, 3615, 10943, 1211, 20449, 995, 11296, 4032, 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{"start": 880.76, "end": 883.38, "word": " binary", "probability": 0.54541015625}, {"start": 883.38, "end": 883.68, "word": " array", "probability": 0.69970703125}, {"start": 883.68, "end": 883.84, "word": " و", "probability": 0.2474365234375}, {"start": 883.84, "end": 884.28, "word": " الأن", "probability": 0.61175537109375}, {"start": 884.28, "end": 884.42, "word": " بدي", "probability": 0.3529052734375}, {"start": 884.42, "end": 884.78, "word": " أحولها", "probability": 0.797607421875}, {"start": 884.78, "end": 884.9, "word": " ل", "probability": 0.88134765625}, {"start": 884.9, "end": 885.08, "word": " data", "probability": 0.943359375}, {"start": 885.08, "end": 885.44, "word": " frame", "probability": 0.826171875}, {"start": 885.44, "end": 885.76, "word": " عشان", "probability": 0.7820638020833334}, {"start": 885.76, "end": 886.06, "word": " ده", "probability": 0.57958984375}, {"start": 886.06, "end": 886.24, "word": " من", "probability": 0.9736328125}, {"start": 886.24, "end": 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92094, "start": 893.0, "end": 920.94, "text": "هذا الـ array الموجودة عندها كcolumn لمن ال data frame اللي موجودة عندها الآن قلت له ال frequent item set تبعتي تساوي ال a priori اللي انا عملته on board فوق ال data frame work ال data frame تبعتي هي ال minimum support اللي انا بدي اشتغل عليها ستة واستخدم ال column names yes استخدمهم لان انا بتتعامل مع ال column", "tokens": [3224, 15730, 2423, 39184, 10225, 9673, 29245, 23328, 3660, 43242, 11296, 9122, 8768, 16449, 5296, 27842, 2423, 1412, 3920, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 11296, 6024, 48506, 12174, 1211, 2655, 46740, 2423, 18004, 3174, 992, 6055, 3555, 3615, 31371, 6055, 3794, 995, 45865, 2423, 257, 4059, 72, 13672, 1829, 1975, 8315, 6225, 42213, 47395, 322, 3150, 6156, 30543, 2423, 1412, 3920, 589, 2423, 1412, 3920, 6055, 3555, 3615, 31371, 39896, 2423, 7285, 1406, 13672, 1829, 1975, 8315, 4724, 16254, 1975, 8592, 2655, 17082, 1211, 25894, 11296, 8608, 2655, 3660, 36764, 14851, 9778, 40448, 2423, 7738, 5288, 2086, 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"probability": 0.9855143229166666}, {"start": 1355.72, "end": 1355.78, "word": " ..", "probability": 0.6064453125}, {"start": 1355.78, "end": 1356.02, "word": " الله", "probability": 0.650390625}, {"start": 1356.02, "end": 1356.22, "word": " يعطيكم", "probability": 0.63824462890625}, {"start": 1356.22, "end": 1356.5, "word": " العافية", "probability": 0.8668619791666666}, {"start": 1356.5, "end": 1356.62, "word": " ..", "probability": 0.6689453125}, {"start": 1356.62, "end": 1356.92, "word": " والسلام", "probability": 0.782958984375}, {"start": 1356.92, "end": 1357.26, "word": " عليكم", "probability": 0.939697265625}, {"start": 1357.26, "end": 1357.62, "word": " ورحمة", "probability": 0.8953857421875}, {"start": 1357.62, "end": 1357.72, "word": " الله", "probability": 0.9248046875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 1357.694, "duration_after_vad": 1270.6662499999995}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aBdn0U7iDfc.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aBdn0U7iDfc.srt
new file mode 100644
index 0000000000000000000000000000000000000000..43e1af12520e37fadff4e5820205f1b0883bfc46
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@@ -0,0 +1,2459 @@
+1
+00:00:05,030 --> 00:00:07,210
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,210 --> 00:00:11,270
+اليوم إن شاء الله تعالى هنكمل في الـ chapter الثاني
+
+3
+00:00:11,270 --> 00:00:16,410
+اللي هي data understanding وكنا حكينا المرات
+
+4
+00:00:16,410 --> 00:00:19,730
+الماضية على مجموعة أو اتناقشنا في مجموعة من
+
+5
+00:00:19,730 --> 00:00:24,430
+الأسئلة اللي لها علاقة بفهم البيانات، في حد يذكرنا
+
+6
+00:00:24,430 --> 00:00:28,250
+شباب، مجموعة من الأسئلة، كانت الأسئلة بتتمحور حول
+
+7
+00:00:28,250 --> 00:00:33,310
+شغلات أساسية اللي لها علاقة بفهم البيانات، وإيش
+
+8
+00:00:33,310 --> 00:00:36,810
+المقصود، وإيش بنية البيانات، حد بيقدر يجاوبنا؟
+
+9
+00:00:36,810 --> 00:00:49,210
+حجم البيانات المتوفرة، أيوة، غيره؟ هل
+
+10
+00:00:49,210 --> 00:00:54,710
+هناك مصادر أخرى للـ data ممكن تدعمها؟ غيره؟ هل
+
+11
+00:00:54,710 --> 00:01:02,290
+الصلاحية.. هل البيانات هذه valid أو invalid؟ كل
+
+12
+00:01:02,290 --> 00:01:07,790
+الـ data حكاها السؤال، أيوة، هل الـ data artificial
+
+13
+00:01:07,790 --> 00:01:12,790
+ولا real data؟ والسؤال الأهم من كل هذا، هل الـ data
+
+14
+00:01:12,790 --> 00:01:17,850
+هذه بتحل المشكلة هذه ولا لأ؟ relevant to the
+
+15
+00:01:17,850 --> 00:01:21,450
+problem or not؟ تمام، لأنه لو ما كانت relevant وكانت
+
+16
+00:01:21,450 --> 00:01:25,430
+valid، وكانت كبيرة وفيها مصادر أخرى، عالفاضي ما تنفعش
+
+17
+00:01:25,430 --> 00:01:28,570
+مع الـ task اللي أنا بدي أشتغل عليها، وكلنا اتكلمنا
+
+18
+00:01:28,570 --> 00:01:30,230
+أن أنواع البيانات بشكل عام
+
+19
+00:01:33,140 --> 00:01:36,220
+Structured Data اللي احنا متعاملين مع الجداول، وفي
+
+20
+00:01:36,220 --> 00:01:39,200
+عندي unstructured زي الصور والـ audio والـ text و
+
+21
+00:01:39,200 --> 00:01:42,880
+الأخره، في عندك Dynamic Data أنه بيصير في عندي
+
+22
+00:01:42,880 --> 00:01:46,860
+تحديث مستمر على البيانات اللي موجودة عندي، وفي عندي
+
+23
+00:01:46,860 --> 00:01:50,360
+Static Data، البيانات ما بيصيرش عليها تحديث، السؤال
+
+24
+00:01:50,360 --> 00:01:54,160
+الآن، لو كان في عندي صورة، والصورة هذه أنا بتصفحها
+
+25
+00:01:54,160 --> 00:01:58,910
+في اليوم عشر مرات، بتغير على محتوى هالحاجة؟ لأ
+
+26
+00:01:58,910 --> 00:02:01,390
+وبالتالي هي static، واحد يقول يا دكتور لما هو ممكن
+
+27
+00:02:01,390 --> 00:02:04,750
+أنا أروح أعدل عليها في الـ Photoshop كم مرة؟ هتعدل
+
+28
+00:02:04,750 --> 00:02:09,370
+عليها مرتين، تلاتة، بس في الآخر هترجع static ومش
+
+29
+00:02:09,370 --> 00:02:11,890
+هتكون في الـ data، وزي ما قلنا المرة الماضية احنا
+
+30
+00:02:11,890 --> 00:02:19,090
+فعلياً شغلنا هيكون في داخل الـ static data، الآن الـ
+
+31
+00:02:19,090 --> 00:02:24,470
+data set اللي عندي بشكل عام، الآن مش هقول عليها
+
+32
+00:02:24,470 --> 00:02:27,990
+database ولا هقول عليها data source، هتصير هي
+
+33
+00:02:27,990 --> 00:02:31,970
+بمثابة data set اللي هي غالباً هتكون عبارة عن جدول
+
+34
+00:02:31,970 --> 00:02:36,430
+واحد بيجمع كل الـ data اللي موجودة، لما أتعامل معاها
+
+35
+00:02:36,430 --> 00:02:39,490
+الآن، الـ data sets اللي عندي، بدي أفهم إن هنا فيه
+
+36
+00:02:39,490 --> 00:02:42,740
+ممكن يكون عبارة عن مجموعة من الـ records، والـ record
+
+37
+00:02:42,740 --> 00:02:45,740
+إما من relational data أو data matrix، مصفوفات
+
+38
+00:02:45,740 --> 00:02:51,560
+بتحتوي على بيانات، document data ممكن يتحول لـ
+
+39
+00:02:51,560 --> 00:02:54,940
+record بحيث إنه أنا يكون في عندي مثلاً في الـ data
+
+40
+00:02:54,940 --> 00:02:59,080
+set أو في الـ folder اللي معايا في عندي عشر ملفات
+
+41
+00:02:59,080 --> 00:03:04,160
+text files، معناته أنا بتكلم على عشر rows، عشر صفوف،
+
+42
+00:03:04,160 --> 00:03:08,960
+الأعمدة هي عبارة عن الـ frequent terms اللي موجودة
+
+43
+00:03:08,960 --> 00:03:12,920
+common ما بين الـ ten documents هدول،
+
+44
+00:03:12,920 --> 00:03:16,640
+بدور على الكلمات الأساسية، وبنشوفهم، فممكن أنا أعمل
+
+45
+00:03:16,640 --> 00:03:20,280
+record بناءً على الـ data، الـ transactional data، في
+
+46
+00:03:20,280 --> 00:03:24,700
+الـ graph data، كلكوا بتعرفوا أو بتستخدموا الـ Google
+
+47
+00:03:24,700 --> 00:03:27,260
+maps، وكلكوا درستوا data structure و discrete
+
+48
+00:03:27,260 --> 00:03:30,080
+mathematics، وتعرفتو على الـ graphs، الـ graph هو
+
+49
+00:03:30,080 --> 00:03:33,240
+عبارة عن مجموعة.. أزواج مرتبة من النقاط والجسور
+
+50
+00:03:33,240 --> 00:03:38,610
+اللي بينها، مظبوط؟ فهذه عبارة عن الـ Graph، والشبكات
+
+51
+00:03:38,610 --> 00:03:41,710
+أو الشبكات تمثل بالـ Graph بشكل كويس، سواء كان على
+
+52
+00:03:41,710 --> 00:03:45,170
+الشبكة العنكبوتية ولا في الـ social networks أو حتى
+
+53
+00:03:45,170 --> 00:03:52,630
+في التراكيب النووية إلى آخره، الآن في الـ order data،
+
+54
+00:03:52,630 --> 00:03:57,210
+البيانات المرتبطة بالزمن، وأنت شفت خلال الـ
+
+55
+00:03:57,210 --> 00:03:59,890
+assignment البسيط اللي كان عندما أنتو عملتم البحث
+
+56
+00:03:59,890 --> 00:04:03,630
+عن الـ time series، الـ temporal والـ spatial
+
+57
+00:04:03,630 --> 00:04:06,350
+والشغلات هذه، طبعاً بعيداً عن الـ spatial كان في عند
+
+58
+00:04:06,350 --> 00:04:10,730
+الـ time series والـ temporal والـ sequence ذاتها هي
+
+59
+00:04:10,730 --> 00:04:14,970
+عبارة عن مرتبطة أو data مرتبطة بعمل الزمن، بعمل
+
+60
+00:04:14,970 --> 00:04:22,130
+الزمن، طيب، الآن الفيديو هل هو ordered؟ بس ordered
+
+61
+00:04:22,130 --> 00:04:26,170
+ترتيب وترتيب زمني ولا لأ؟ يعني بينجو سيل لما أنا
+
+62
+00:04:26,170 --> 00:04:30,380
+باجي بأستعرض الفيديو، الفيديو هو عبارة عن sequence
+
+63
+00:04:30,380 --> 00:04:33,900
+of images، صح؟ مجموعة من الصور، أو sequence of الـ
+
+64
+00:04:33,900 --> 00:04:37,780
+frame، وكل frame ممكن يكون مكون من مجموعة صور، ففي
+
+65
+00:04:37,780 --> 00:04:41,060
+الآخر أنا مستحيل أنتقل للـ frame الثاني قبل ما أشوف
+
+66
+00:04:41,060 --> 00:04:44,540
+.. أستعرض الـ frame الأول، وكذلك عند التسجيل، لما تم
+
+67
+00:04:44,540 --> 00:04:48,120
+تسجيل الفيديو هذا، تم تسجيل الـ frame الأول قبل الـ
+
+68
+00:04:48,120 --> 00:04:51,680
+frame الثاني، ففعلياً هو عبارة عن ordered ومرتبط
+
+69
+00:04:51,680 --> 00:04:56,130
+بالزمن، من الـ order، كذلك الـ genetic sequence زي ما
+
+70
+00:04:56,130 --> 00:04:59,490
+حكينا سابقاً، وشوفنا الـ spatial والـ data والـ image
+
+71
+00:04:59,490 --> 00:05:03,550
+data، أو حكينا نوع من التبسيط، المحاضرات الماضية،
+
+72
+00:05:03,550 --> 00:05:09,630
+الآن هذا الجدول بمثل record، الجدول
+
+73
+00:05:09,630 --> 00:05:14,930
+صفوف وأعمدة هي الـ data تبعي، وهذا اللي فوق الـ
+
+74
+00:05:14,930 --> 00:05:18,330
+header تبع الأعمدة والصفوف، في عندي three
+
+75
+00:05:18,330 --> 00:05:22,560
+documents، تلات ملفات text، وهذه الـ frequent terms،
+
+76
+00:05:22,560 --> 00:05:27,700
+team و coach و play و ball و soccer و game و win و
+
+77
+00:05:27,700 --> 00:05:31,980
+lost والـ time out والـ season إلى آخره، أنا بتكلم
+
+78
+00:05:31,980 --> 00:05:35,740
+على بيانات جمعناها اللي هي علاقة عن text أو
+
+79
+00:05:35,740 --> 00:05:41,640
+تغريدات على سبيل المثال، من ناس محبين للكرة، فهي إن
+
+80
+00:05:41,640 --> 00:05:45,220
+في الآخر كـ text file، أخدت الـ frequent words، الكلمات
+
+81
+00:05:45,220 --> 00:05:48,700
+المتكررة وحطيتهم في قالب أو حطيتهم في أعمدة و
+
+82
+00:05:48,700 --> 00:05:52,060
+شكلت صفوف زي ما هي هنا، كذلك في الـ market
+
+83
+00:05:52,060 --> 00:05:56,260
+transaction set، أنا ممكن هي في الـ transaction
+
+84
+00:05:56,260 --> 00:05:59,380
+الأول، في عندي مجموعة من الـ items، ولما نتكلم على
+
+85
+00:05:59,380 --> 00:06:02,220
+الـ transaction set ممكن نشوف كيف بدي أعمل الـ
+
+86
+00:06:02,220 --> 00:06:05,960
+processing بحيث إن أحولها لـ binary matrix،
+
+87
+00:06:08,290 --> 00:06:11,030
+الآن يعني لما أنا بدي أتكلم على الـ data set الـ
+
+88
+00:06:11,030 --> 00:06:13,670
+data set تبعي هي عبارة عن مجموعة من الـ data
+
+89
+00:06:13,670 --> 00:06:19,270
+objects، الـ rows تبعي data object، والـ data object
+
+90
+00:06:19,270 --> 00:06:23,160
+هي تمثل الـ entity اللي أنا بشتغل عليها، ممكن تكون
+
+91
+00:06:23,160 --> 00:06:26,380
+طالب المدرسة، ممكن تكون السهم اللي أنا ببدأ أدرسه في
+
+92
+00:06:26,380 --> 00:06:29,900
+السوق، بدنا نتبّع حالته، بدي.. ال.. ال..
+
+93
+00:06:29,900 --> 00:06:31,740
+اليوم اللي أنا ببدأ أتوقع فيه حجم المطر اللي بدّه
+
+94
+00:06:31,740 --> 00:06:35,540
+ينزل، فهي كل واحدة فيهم بتمثل entity، أوبجيكت، وعادة
+
+95
+00:06:35,540 --> 00:06:37,920
+الـ data set تبعي أو الـ object تبعي ممكن أنا
+
+96
+00:06:37,920 --> 00:06:40,300
+أجيبها من الـ sales.. كما قلت لك في الـ sales
+
+97
+00:06:40,300 --> 00:06:44,950
+database، معناته الـ entities تبعي الـ customer والـ
+
+98
+00:06:44,950 --> 00:06:48,650
+store items والمبيعات، يعني العناصر اللي أنا
+
+99
+00:06:48,650 --> 00:06:52,070
+ببيعها، والزبون، وإيش أنا بعته، مش هلترا الـ
+
+100
+00:06:52,070 --> 00:06:58,510
+database، الآن هدول كلهم ممكن يمثلولي الـ data set،
+
+101
+00:06:58,510 --> 00:07:01,650
+كذلك في الـ medical، لما أنا بتكلم في الـ medical، في
+
+102
+00:07:01,650 --> 00:07:06,070
+الطب، بتكلم على المريض، بتكلم على الأعراض، بتكلم على
+
+103
+00:07:06,070 --> 00:07:11,840
+الـ diagnosis، بتكلم على الطبيب، الطبيب، اسم الطبيب
+
+104
+00:07:11,840 --> 00:07:16,640
+مهم في التشخيص، في العلاج، وكذا، ما هو شيء للمراجعة،
+
+105
+00:07:16,640 --> 00:07:21,580
+اسمه إجرائي، لكن فعلياً في الـ database، عشان الـ
+
+106
+00:07:21,580 --> 00:07:25,180
+knowledge، اسم الطبيب لا يعني شيء، تم تشخيص المريض
+
+107
+00:07:25,180 --> 00:07:29,060
+هذا بكذا من اللي شخصه، بيعني ليش كتير، بس فعلياً هو
+
+108
+00:07:29,060 --> 00:07:32,900
+فعلياً حالة حقيقية للمرض اللي أنا بدي أعالجه، كذلك
+
+109
+00:07:32,900 --> 00:07:35,740
+الـ database تبع الجامعة، فيها الطالب والمدرس و
+
+110
+00:07:35,740 --> 00:07:38,970
+المساقات، وغيرها، الآن شغلة أو واحدة من الشغلات
+
+111
+00:07:38,970 --> 00:07:42,790
+المهمة بالنسبة لنا، احنا عادة لما بنيجي في الـ database
+
+112
+00:07:42,790 --> 00:07:56,090
+بنقول عنه record أو table أو row، مظبوط؟ الآن هنقل
+
+113
+00:07:56,090 --> 00:08:01,150
+عليه اسم sample أو example أو instance، وهذه أشهر
+
+114
+00:08:01,150 --> 00:08:05,010
+المسميات، data point، وطبّعاً غيرها، يعني ممكن تفتح
+
+115
+00:08:05,010 --> 00:08:08,130
+الكتاب وتلاقي بيتكلم بيقول لك أخذنا example، example،
+
+116
+00:08:08,130 --> 00:08:12,350
+يعني one row، one entity، one object of data، تمام؟
+
+117
+00:08:12,350 --> 00:08:17,470
+بمثل الـ entity، هذه الـ data object، هذه عادة توصف من
+
+118
+00:08:17,470 --> 00:08:20,230
+خلال الـ attributes، لاحظوا كأني بتكلم عن الـ
+
+119
+00:08:20,230 --> 00:08:24,420
+database، بتكلم على relational database، ليش؟ لأن الـ
+
+120
+00:08:24,420 --> 00:08:28,500
+structure هي أفضل شغلة، لها الجداول عشان أحصل على
+
+121
+00:08:28,500 --> 00:08:32,760
+structure ثابت، وبالتالي الـ entity أو الـ object
+
+122
+00:08:32,760 --> 00:08:36,660
+بتمثل الـ rows، والـ attribute بتمثل الوصف تبع الـ
+
+123
+00:08:36,660 --> 00:08:40,820
+rows هذه أو الصفوف اللي موجودة عندها، الآن احنا
+
+124
+00:08:40,820 --> 00:08:45,100
+هنروح باتجاه الأعمدة، لأن في عندنا شوية شغل أو في
+
+125
+00:08:45,100 --> 00:08:51,260
+شوية كلام عليهم لازم نفهمه ونفهمه كويس، أولاً
+
+126
+00:08:53,080 --> 00:08:57,240
+الـ attribute أو الـ data field اللي موجود عندنا
+
+127
+00:08:57,240 --> 00:09:01,480
+هنا بيمثله فعلياً الـ characteristic أو الخاصية اللي
+
+128
+00:09:01,480 --> 00:09:05,940
+بتهمني، يعني بينجو سيل لما بيجي بيقول إنه في عندي الـ
+
+129
+00:09:05,940 --> 00:09:10,260
+attribute اللي اسمه الـ age، إيش الـ values اللي هنا؟
+
+130
+00:09:10,260 --> 00:09:16,800
+number، بتمثل العمر، لما بلاقي خمسين يعني أنا بعرف
+
+131
+00:09:16,800 --> 00:09:20,660
+خمسين سنة ولا لأ، لما بلاقي خمسة عشر يعني خمسة عشر سنة،
+
+132
+00:09:21,560 --> 00:09:27,900
+بس مش ممكن ألاقي 250 سنة ولا شو رأيكم؟ في.. في
+
+133
+00:09:27,900 --> 00:09:30,760
+أيام زمان.. اه ماشي الحال، طب في أيام زمان كان
+
+134
+00:09:30,760 --> 00:09:34,280
+يُقال ألف سنة إلا خمسين عاماً.. هذا بقى فترة الدعوة
+
+135
+00:09:34,280 --> 00:09:39,080
+فكان عمره، جدّش صلى الله عليه وسلم، على نبينا محمد،
+
+136
+00:09:39,080 --> 00:09:46,860
+فالفكرة أن هذه الـ attribute بتعطيني وصف عن.. يعني
+
+137
+00:09:46,860 --> 00:09:52,780
+بتديني وصف لمين؟ للـ record اللي موجود، الآن باجي
+
+138
+00:09:52,780 --> 00:10:01,680
+بلاقي مثلاً الـ gender، بقول email مثلاً 45، تمام، اللي
+
+139
+00:10:01,680 --> 00:10:06,760
+بتكلم مثلاً healthy، yes،
+
+140
+00:10:06,760 --> 00:10:12,860
+فهي كل واحدة من الـ attributes هذه بتحمل ميزة للـ
+
+141
+00:10:12,860 --> 00:10:15,880
+entity.. عفواً للـ object ككل، للشخص اللي عمّال
+
+142
+00:10:15,880 --> 00:10:22,120
+نتكلم عليه، وعادةً هذه بنسميها احنا Feature، و
+
+143
+00:10:22,120 --> 00:10:25,220
+مصطلح الـ Feature هو الأكثر استخداماً مع الـ Data
+
+144
+00:10:25,220 --> 00:10:29,720
+Mining والـ Data Science، ممكن
+
+145
+00:10:29,720 --> 00:10:32,160
+هذه الـ Feature نسميها Dimension أو Variable،
+
+146
+00:10:33,310 --> 00:10:38,830
+Dimension أو Variable، الأهم من تسمياتها وكلّياتها،
+
+147
+00:10:38,830 --> 00:10:41,770
+على الرغم من أنك لازم تحفظها وتميّز ما بينها بشكل
+
+148
+00:10:41,770 --> 00:10:48,170
+كويس، بدنا نتكلم على الـ attribute types، مش هي اللي
+
+149
+00:10:48,170 --> 00:10:51,930
+بتوصف البيانات، أصلاً، مش هي اللي بتوصف الـ object أو
+
+150
+00:10:51,930 --> 00:10:55,030
+الـ entity اللي عندي، الآن في الـ database، إيش
+
+151
+00:10:55,030 --> 00:10:59,810
+البيانات اللي عندي في الـ database؟
+
+152
+00:11:01,870 --> 00:11:07,010
+إيش الـ data اللي عندي؟ الـ number، الـ numeric، الـ
+
+153
+00:11:07,010 --> 00:11:14,250
+numeric، هذه integer وfloat، مادة من الـ float، غيره؟
+
+154
+00:11:14,250 --> 00:11:25,050
+date، text، والـ text هذه character وvar character،
+
+155
+00:11:25,050 --> 00:11:28,090
+مظبوط؟ غيره؟ blob،
+
+156
+00:11:30,730 --> 00:11:37,670
+binary large object، غيره؟ إيش الـ seal of؟ text
+
+157
+00:11:37,670 --> 00:11:42,630
+كبير؟ طب ما فيه عشان؟ ما احنا قلنا خلاص text يعني
+
+158
+00:11:42,630 --> 00:11:46,970
+خلاص، ده كل الـ data type بغض النظر عن الحجم، غيره؟
+
+159
+00:11:46,970 --> 00:11:56,330
+sequence؟ الـ boolean، غيره؟
+
+160
+00:11:56,330 --> 00:11:59,510
+تقريباً هي الـ data type اللي أنا بتعامل معاها، الآن
+
+161
+00:11:59,510 --> 00:12:03,110
+على الرغم من أهمية الـ Data Types هذه إلا إنه مش
+
+162
+00:12:03,110 --> 00:12:06,670
+هنعتمد عليها اعتماد كبير في التعامل مع الـ Data
+
+163
+00:12:06,670 --> 00:12:13,450
+Science أو في الـ Data Mining، هعتمد مسميات شوية أو
+
+164
+00:12:13,450 --> 00:12:18,130
+بيانات وصفية للـ Data اللي موجودة عندها، يعني مثلاً
+
+165
+00:12:18,130 --> 00:12:20,750
+الـ Numeric أكيد هتكون الـ Numeric، لكن هشوف إن في
+
+166
+00:12:20,750 --> 00:12:25,850
+عندي مسميات شوية مختلفة لها علاقة مثلاً، هل الـ value
+
+167
+00:12:25,850 --> 00:12:30,870
+اللي أنا بتعامل معاها continuous ولا discrete؟ هل
+
+168
+00:12:30,870 --> 00:12:36,890
+هي بتمثل فعلياً real number؟ رقم حقيقي ولا ratio؟
+
+169
+00:12:36,890 --> 00:12:41,330
+فالآن لو أنا أجيت وقلت لك هي أنواع الـ data أو أنواع
+
+170
+00:12:41,330 --> 00:12:44,350
+الـ attributes، عندك أنواع الـ data set، nominal،
+
+171
+00:12:44,350 --> 00:12:51,830
+nominal يعني categorial أو فئوي أو فئات،
+
+172
+00:12:55,230 --> 00:13:03,310
+binary، ثنائي، ordinal، إيش ordinal؟ ترتيبي أو مرتب،
+
+173
+00:13:03,310 --> 00:13:09,210
+numerical، رقمي، طب ممكن يكون هناك تقاطعات أو
+
+174
+00:13:09,210 --> 00:13:14,310
+تداخلات بينهم؟ اه ممكن، ليش هذا الكلام مهم يا شباب؟
+
+175
+00:13:14,310 --> 00:13:17
+
+223
+00:17:17,850 --> 00:17:22,520
+يعني فيه countable وفيه countably infinite
+
+224
+00:17:22,520 --> 00:17:26,260
+يعني مسموح فيه التزايد بس في الآخر في اللحظة اللي
+
+225
+00:17:26,260 --> 00:17:32,340
+أنا بدي أقرر أحصر الأعداد، بأحصرها، مش هيزيد، مش
+
+226
+00:17:32,340 --> 00:17:35,300
+هيزيد عن سبعة مليار، على رأي رامي، كلٌّ، كلّ، هي كلّ، مش
+
+227
+00:17:35,300 --> 00:17:38,770
+هتلاقي بشر أكثر من هي، صح؟ بالآخر إحنا هنا بنتكلم
+
+228
+00:17:38,770 --> 00:17:42,430
+بشباب، عشان ما نبعدش كتير على المسميات أو الحالات
+
+229
+00:17:42,430 --> 00:17:47,570
+اللي بتهمني، لو أنا اجيت سألت الأقسام أو أسماء
+
+230
+00:17:47,570 --> 00:17:53,470
+الأقسام أو أرقام الأقسام، مثلاً Computer Science 901
+
+231
+00:17:53,470 --> 00:18:00,290
+تطوير برمجيات 902، 901 و 902 بنفع نقول عنها
+
+232
+00:18:00,290 --> 00:18:04,730
+nominal؟ اه، nominal، ليش؟ لأن هذه تمثل category
+
+233
+00:18:04,730 --> 00:18:10,490
+تمثل فئة، بغض النظر عن القيمة اللي أنا كتبتها، لكن
+
+234
+00:18:10,490 --> 00:18:16,930
+لو أنا اجيت وقلت لك في عندي مجموعة تمثل الـ first
+
+235
+00:18:16,930 --> 00:18:22,610
+second و
+
+236
+00:18:22,610 --> 00:18:30,310
+الـ third، شو
+
+237
+00:18:30,310 --> 00:18:34,910
+رأيكم؟ هل هذه ممكن nominal؟ nominal
+
+238
+00:18:37,310 --> 00:18:42,590
+nominal، بس أصبر علينا، nominal، بس جاوبني، nominal ده
+
+239
+00:18:42,590 --> 00:18:48,550
+nominal، nominal، هاي nominal، لأنه فعلياً قاعد بتكلم
+
+240
+00:18:48,550 --> 00:18:52,830
+على categories أو أسماء أو ثلاث تصنيفات، الأول
+
+241
+00:18:52,830 --> 00:18:57,330
+والتاني والتالت، مصبوط؟ خلينا نقول الفائزين أو الـ
+
+242
+00:18:57,330 --> 00:19:02,730
+winners، الأول والتاني والتالت، لكن هذه فيها ميزة مش
+
+243
+00:19:02,730 --> 00:19:05,590
+موجودة في الـ colors في المجموعة اللي فوق
+
+244
+00:19:09,080 --> 00:19:15,140
+أن القيمة لها معنى، معنى ترتيبي، بمعنى آخر، لو أنا
+
+245
+00:19:15,140 --> 00:19:20,580
+اجيت قلت الـ color تبعي blue، my favorite color
+
+246
+00:19:20,580 --> 00:19:28,040
+blue، واحد ثاني هيقول لي white، بتفهم؟
+
+247
+00:19:28,040 --> 00:19:33,740
+هل بينهم في أولوية للأبيض عن الأزرق أو العكس؟
+
+248
+00:19:33,740 --> 00:19:37,820
+لا، ما فيش، لكن لما اجيت أنا قلت الـ first
+
+249
+00:19:42,710 --> 00:19:50,030
+winner، وقلت الـ second أو الـ third winner، والـ
+
+250
+00:19:50,030 --> 00:19:56,050
+second winner، بتفهم، الـ values عن بعضها، بتفهم على
+
+251
+00:19:56,050 --> 00:19:59,730
+الرغم أنها categorical، وهذا يجعلنا نروح باتجاه فئة
+
+252
+00:19:59,730 --> 00:20:04,110
+جديدة، اللي هي الـ ordinal، هيتكلم ويوديني على فئة
+
+253
+00:20:04,110 --> 00:20:08,470
+جديدة، اللي هي فئات الـ ordinal، تمام يا جماعة الخير؟
+
+254
+00:20:08,840 --> 00:20:13,420
+الآن يعني الـ ordinal هي عبارة عن حالة خاصة، حالة
+
+255
+00:20:13,420 --> 00:20:19,000
+خاصة من الـ categorical أو من الـ nominal، بحيث إنه
+
+256
+00:20:19,000 --> 00:20:25,660
+في عندي معنى أو sequence موجودة في معاني الكلمات
+
+257
+00:20:25,660 --> 00:20:30,040
+مش بالضرورة تظهر بالـ sequence، بس القيمة لها معنى
+
+258
+00:20:30,040 --> 00:20:36,660
+ترتيبي، تماماً مثل الرتب العسكرية، بيجي يقول لي نقيب و
+
+259
+00:20:36,660 --> 00:20:43,560
+رقيب، صح؟ عقيد ولواء أو ملازم وملازم أول، فهي كل
+
+260
+00:20:43,560 --> 00:20:46,220
+واحدة، فيهم الرتبة بتفرق عن التانية، على الرغم إنها
+
+261
+00:20:46,220 --> 00:20:50,540
+categorical، فئة، مصبوط، فئة الملازمين، فئة العقداء، فئة
+
+262
+00:20:50,540 --> 00:20:54,660
+العمداء إلى آخرهم، فبالتالي أنا اجيت بأتكلم.. أتكلم
+
+263
+00:20:54,660 --> 00:21:00,220
+على فئات، أتكلم على فئات، لكن الكلمات تحمل دلالة
+
+264
+00:21:00,220 --> 00:21:05,650
+ترتيبية، تمام؟ في داخلها، وهذا هو الـ nominal، كذلك من
+
+265
+00:21:05,650 --> 00:21:08,510
+الـ.. من الـ.. من الـ.. عفواً، من الـ ordinal كذلك
+
+266
+00:21:08,510 --> 00:21:11,590
+من الـ nominal، في عندي special type اللي هو الـ
+
+267
+00:21:11,590 --> 00:21:16,610
+binary، هي عبارة عن categorical data أو nominal data
+
+268
+00:21:16,610 --> 00:21:22,050
+لكن الـ values اللي عندي فقط two values، مش ضروري
+
+269
+00:21:22,050 --> 00:21:27,430
+يكونوا 0 و 1، one case منهم، true و false، white و
+
+270
+00:21:27,430 --> 00:21:33,810
+black، positive و negative، high و low، success و fail
+
+271
+00:21:33,810 --> 00:21:40,550
+أي category أو أي مجموعة فقط من two values، تمام
+
+272
+00:21:40,550 --> 00:21:47,590
+بسميها إيش؟ binary، كيف
+
+273
+00:21:47,590 --> 00:21:52,330
+يعني عكس بعض؟ يعني مثلاً أنا عندي فئتين، الأول
+
+274
+00:21:52,330 --> 00:21:55,630
+والتاني فقط، هاي الناس اللي أنا بدور عليهم، الترتيب
+
+275
+00:21:55,630 --> 00:22:02,480
+الأول والتاني، زي فئات الدم، تمام؟ اللي هي الـ Rh تبعتها
+
+276
+00:22:02,480 --> 00:22:07,900
+مش الفئة الـ A، لأنه A و B، اه تمام؟ الآن لو اجينا
+
+277
+00:22:07,900 --> 00:22:11,380
+نتكلم على تشغيل.. يعني إذا كانت أنت بتفرضها إن
+
+278
+00:22:11,380 --> 00:22:15,260
+هذا هي الـ opposite تبعتها، okay، لكن في الآخر أنا
+
+279
+00:22:15,260 --> 00:22:19,260
+بتكلم إن هي فعلياً two different values only في الـ
+
+280
+00:22:19,260 --> 00:22:23,560
+value أو في الـ attribute اللي موجودة عندها، لكن في
+
+281
+00:22:23,560 --> 00:22:27,280
+الـ binary values، بدي أنتبه عشان أكون فاهم صح الـ
+
+282
+00:22:27,280 --> 00:22:30,400
+data اللي عندي، هل الـ data هذه أو الـ binary هذا
+
+283
+00:22:30,400 --> 00:22:34,520
+symmetric ولا asymmetric، بمعنى هل القيمتين هدول
+
+284
+00:22:34,520 --> 00:22:38,480
+لهم نفس الوزن في التعامل، ولا أنا مهتم بالـ value
+
+285
+00:22:38,480 --> 00:22:43,100
+أكثر من التانية، مثلاً لما بدي بتكلم على الـ gender
+
+286
+00:22:43,100 --> 00:22:47,400
+في عالم المساواة، بتكلم على الـ equality، التنتين في
+
+287
+00:22:47,400 --> 00:22:52,410
+نفس الأهمية، مصبوط، اتنين بنفس الأهمية، لكن لو كانت
+
+288
+00:22:52,410 --> 00:22:57,790
+اللي بتكلم على الـ diagnosis لفيروس أو لمرض معين، الـ
+
+289
+00:22:57,790 --> 00:23:02,830
+positive أهم مليون مرة من الـ negative، على الرغم أن
+
+290
+00:23:02,830 --> 00:23:07,240
+الـ negative موجود، لكن قيمة الـ positive عالية، أهم
+
+291
+00:23:07,240 --> 00:23:11,440
+بالنسبة لي، اللي أنا بتخذ عليها action مختلفة، وهذه
+
+292
+00:23:11,440 --> 00:23:15,060
+بسميها، إحنا، إذا لو كان في عندي غير تساوي أو
+
+293
+00:23:15,060 --> 00:23:23,200
+القيمتين غير متساويات، فبسميها asymmetric، حكينا
+
+294
+00:23:23,200 --> 00:23:29,640
+مع الـ ordinal بشكل كويس، الـ numeric، في الـ numeric
+
+295
+00:23:29,640 --> 00:23:35,000
+الآن، كل الأرقام اللي ممكن تخطر على بالنا، numeric
+
+296
+00:23:35,000 --> 00:23:43,760
+لكنها تصنف كذلك لثلاث فئات، كمّيّة، وفي عندي
+
+297
+00:23:43,760 --> 00:23:50,340
+interval scaled، وفي عندي ratio scaled، هنبدأ مع الـ
+
+298
+00:23:50,340 --> 00:23:53,800
+quantitative، الـ quantitative أو الكمّي، عادة لما
+
+299
+00:23:53,800 --> 00:23:58,300
+بتكلم على الـ age، بتكلم على الشغلات اللي بدي أعرف
+
+300
+00:23:58,300 --> 00:24:03,660
+عددها أو بدي أعرف كميتها، بحط رقم، بحط value، يعني
+
+301
+00:24:03,660 --> 00:24:08,820
+الآن، لو أنت روحت بدك تشتري فاكهة ودخلت الـ
+
+302
+00:24:08,820 --> 00:24:12,820
+supermarket، ولاجيت، بيجي بيقول لك ثلاثة كيلو، أو مثلاً
+
+303
+00:24:12,820 --> 00:24:16,700
+الـ كيلو مثلاً بخمسة شيكل، ورحت أنت أخدت اثنين كيلو
+
+304
+00:24:16,700 --> 00:24:21,180
+عند الميزان، لما حطيت على الميزان، لاجا مثلاً اثنين
+
+305
+00:24:21,180 --> 00:24:27,360
+كيلو و عشرين جرام، شو وضع الـ عشرين جرام هدول؟ يا ما بيشيل
+
+306
+00:24:27,360 --> 00:24:30,740
+من الإبداع أو بيحسبك عليهم، تمام؟ وبالتالي أنا
+
+307
+00:24:30,740 --> 00:24:33,700
+بتكلم على الـ weight اللي أنت أخدته، اثنين و عشرين
+
+308
+00:24:33,700 --> 00:24:38,620
+من عشرة، مصبوط؟ وبالتالي هذه لها كمية معينة لازم
+
+309
+00:24:38,620 --> 00:24:41,740
+تُحسب، بيجي بيقول في الـ newborns، في الأطفال حديثي
+
+310
+00:24:41,740 --> 00:24:46,180
+الولادة، لما بيجي بيقول لي والله طوله كذا، مثلاً ستين
+
+311
+00:24:46,180 --> 00:24:49,960
+أو سبعين سنتيمتر، فهو فعلياً بيقصد ستين أو سبعين سنتيمتر
+
+312
+00:24:49,960 --> 00:24:54,340
+بالـ بالعفو، بالرقم اللي بيكتبه، لما بيجي بكتب وزنه
+
+313
+00:24:54,340 --> 00:25:00,240
+2450 جرام، لأن الـ 50 جرام بتفرق معاه، ما بنضلش يكتب 2
+
+314
+00:25:00,240 --> 00:25:06,700
+.5 كيلو جرام، ففعلياً هو قاعد بيكتب exact quantity
+
+315
+00:25:06,700 --> 00:25:14,020
+كمية موجودة، وطبعاً سواء كانت الكمية integer أو real
+
+316
+00:25:14,020 --> 00:25:17,480
+number، ما مش قضية كتير، بس في الآخر بنتعامل مع كمية
+
+317
+00:25:17,480 --> 00:25:23,710
+موجودة، بالـ interval scaled، النوع الثاني، وهنا أنا
+
+318
+00:25:23,710 --> 00:25:28,110
+بتكلم ضمن range، الـ value تبعتي ضمن range، لاحظ
+
+319
+00:25:28,110 --> 00:25:32,470
+بأتكلمش على discrete و continuous، بتكلم على أن
+
+320
+00:25:32,470 --> 00:25:36,670
+القيمة تبعتي هذه تُقاس تبعاً لمجموعة من الـ units
+
+321
+00:25:36,670 --> 00:25:43,190
+لمجموعة من الـ units، مثال عليها الـ temperature، درجة
+
+322
+00:25:43,190 --> 00:25:46,030
+الحرارة، الآن لو جينا وقلنا درجة الحرارة في
+
+323
+00:25:46,030 --> 00:25:50,690
+الغرفة هذه تقارب العشرين أو عشرين
+
+324
+00:25:53,880 --> 00:26:00,540
+لو كانت 19، أنا غلطان؟ طب لو كانت 21؟ برضه لا، ليش؟
+
+325
+00:26:00,540 --> 00:26:04,660
+لأن الفرق اللي بنتكلم فيه بسيط، وفي نفس الـ range
+
+326
+00:26:04,660 --> 00:26:10,820
+ما حدا هيحس فيه أو يبين، جوسين، هيميزه 100%، أقول لك حتى
+
+327
+00:26:10,820 --> 00:26:12,940
+درجة الحرارة اللي إحنا بنقراها من خلال نشرات
+
+328
+00:26:12,940 --> 00:26:13,440
+الأخبار
+
+329
+00:26:16,880 --> 00:26:20,980
+plus minus، يعني هو بيديك درجة الحرارة القصوى أو
+
+330
+00:26:20,980 --> 00:26:25,940
+العظمى المتوقعة والصغرى أو الدنيا المتوقعة، مظبوط؟
+
+331
+00:26:25,940 --> 00:26:30,920
+خلال اليوم، لكن في أي وقت في اليوم؟ ما بعرفش، الآن
+
+332
+00:26:30,920 --> 00:26:34,480
+فعلياً، لكن هو في اليوم الفلاني، زي اليوم مثلاً ستة
+
+333
+00:26:34,480 --> 00:26:41,840
+عشر، اثنين ألفين وعشرين، الـ high temperature في الـ
+
+334
+00:26:41,840 --> 00:26:48,010
+high temperature، عشرين، والله تم رصد سابعة
+
+335
+00:26:53,720 --> 00:26:57,920
+المربوطة بإيش الآن؟ أكيد إيش الـ unit تبعتي هنا؟
+
+336
+00:26:57,920 --> 00:27:02,180
+درجة الحرارة، سيلز ولا فهرنهايت، بس في الآخر في
+
+337
+00:27:02,180 --> 00:27:07,780
+الآخر، الرقم هذا لا يعبر عن القيمة الحقيقية اللي
+
+338
+00:27:07,780 --> 00:27:11,380
+كانت في اليوم، هو عمل estimation، وتوقع درجة الحرارة
+
+339
+00:27:11,380 --> 00:27:15,700
+بتكون كذا، لكن فعلياً جاسوس جديش على مدار الساعة، لأنه
+
+340
+00:27:15,700 --> 00:27:20,830
+أساساً في أي يوم عادي، ساعات الليل.. ساعات الليل
+
+341
+00:27:20,830 --> 00:27:25,970
+أبرد من ساعات النهار، وأول الليل أبرد من آخره، مصدق؟
+
+342
+00:27:25,970 --> 00:27:30,390
+أنا لا، والعكس كذلك، أول النهار أبرد من وسطه وأبرد
+
+343
+00:27:30,390 --> 00:27:33,670
+من آخره، لأن في حركة، في حركة دوران الأرض والشمس
+
+344
+00:27:33,670 --> 00:27:37,350
+الآخر كلها بتأثر، لكن الآن الـ value اللي كمان مرة
+
+345
+00:27:37,350 --> 00:27:40,350
+أهم، بيميز هذه الـ values أو هذه القيم اللي إحنا
+
+346
+00:27:40,350 --> 00:27:46,710
+بنسميها interval، ضمن range ثابتة معروفة، يعني مثلاً
+
+347
+00:27:48,020 --> 00:27:52,540
+قد إيش أقل درجة حرارة ممكن تكون عندنا في فلسطين؟ صفر
+
+348
+00:27:52,540 --> 00:27:56,600
+على جبال الشيخ، مثلاً على جبل الجرمق، جبال الشيخ، مش
+
+349
+00:27:56,600 --> 00:28:01,300
+عندنا الجليل، الجليل الأعلى عندنا، تمام؟ الآن صفر
+
+350
+00:28:01,300 --> 00:28:07,700
+سالب ثلاث، ثلاث، مش قضية كتير، وأعلى درجة حرارة
+
+351
+00:28:07,700 --> 00:28:13,360
+خمسة وثلاثين، أربعين، أريعة في الأغوار، هي الـ range
+
+352
+00:28:13,360 --> 00:28:17,460
+تبعتي، من صفر لأربعين، ما بدور فيه ولا مرة
+
+353
+00:28:17,460 --> 00:28:21,920
+على الـ fraction، دائماً بتكلم على مجموعة من القيم، و
+
+354
+00:28:21,920 --> 00:28:26,040
+عشان هيك بنسميها إحنا equal size scale، يعني أنا
+
+355
+00:28:26,040 --> 00:28:30,240
+قلت لي 10 ولا قلت لي 12، صح؟ أنا بعرف مقدار درجة
+
+356
+00:28:30,240 --> 00:28:33,420
+الحرارة زي بعض، بس في الآخر مش فارقة كتير معايا
+
+357
+00:28:33,420 --> 00:28:40,300
+الآن، تميز هذه درجة الـ interval scale، أن فيها
+
+358
+00:28:40,300 --> 00:28:45,720
+ordered، بفهمه، أن لما بيقول لي 15، حتماً الجو أبرد
+
+359
+00:28:45,720 --> 00:28:51,540
+من 20 وأدفىء من 10، هذا الـ order، أنا صرت بفهم في
+
+360
+00:28:51,540 --> 00:28:55,460
+الـ interval، لأنه أنا بعرف الـ interval دائماً من
+
+361
+00:28:55,460 --> 00:29:00,640
+إلى، ومن هنا بتتغير القيم اللي موجودة عندي، الشغل
+
+362
+00:29:00,640 --> 00:29:07,160
+الثاني، أنه أنا فعلياً في الـ interval scale ما فيش
+
+363
+00:29:07,160 --> 00:29:11,080
+real zero، أتعامل معه، لما بيجي يقول لي درجة الحرارة
+
+364
+00:29:11,080 --> 00:29:18,450
+بكرا متوقعة تكون صفر، فعلياً صفر؟ ممكن أو ممكن لا، بس
+
+365
+00:29:18,450 --> 00:29:21,490
+الواقع بيقول، إذا صارت صفر، كل شغلة فيها ماء بدا
+
+366
+00:29:21,490 --> 00:29:25,550
+تتجمد، شئنا أم أبينا، لأنها كانت الطبيعة، ولا لا؟
+
+367
+00:29:25,550 --> 00:29:28,750
+فعلياً تجمدت؟ يعني فتحت الصنبور هيك وما نزلتش
+
+368
+00:29:28,750 --> 00:29:32,110
+الماء؟ لا، وبالتالي فعلياً مش صفر، على الرغم من
+
+369
+00:29:32,110 --> 00:29:35,550
+أنه جالس درجة الحرارة صفر، بالنسبة له، بالنسبة له،
+
+370
+00:29:35,550 --> 00:29:38,430
+هي يمكن حوالي الصفر، يعني هو أتوقع أنها تنزل أقل
+
+371
+00:29:38,430 --> 00:29:43,760
+من واحد، أو تصل للواحد أو ممكن تصل لأقل، قال لك درجة
+
+372
+00:29:43,760 --> 00:29:47,680
+الحرارة واحد، مع minus one أو minus two، plus or
+
+373
+00:29:47,680 --> 00:29:52,500
+minus two، ممكن تصل سالب واحد، فعلياً، لكن فعلياً هل
+
+374
+00:29:52,500 --> 00:29:55,740
+الصفر اللي قالي يا ده هو الصفر الحقيقي اللي إحنا
+
+375
+00:29:55,740 --> 00:29:59,220
+بنتعامل معه؟ لا لا لا، حتماً لا، وبالتالي في الـ
+
+376
+00:29:59,220 --> 00:30:03,530
+interval أنا ما عنديش صفر، أو بمعنى حتى لو شفتوا
+
+377
+00:30:03,530 --> 00:30:07,730
+هذا الصفر، فيه بمثل interval، يعني هيك، لو أنا اجيت
+
+378
+00:30:07,730 --> 00:30:10,930
+قلت في درجة الحرارة، جماعة الخير، القيم المعطاة
+
+379
+00:30:10,930 --> 00:30:17,610
+كان plus or minus اثنين، واجيت شو.. واجيت قلت لك
+
+380
+00:30:17,610 --> 00:30:22,370
+درجة الحرارة صفر، هذه
+
+381
+00:30:22,370 --> 00:30:27,210
+ثلاث قيم، مصبوط؟ هذه في واقع.. الـ value هذه في واقعها
+
+382
+00:30:27,210 --> 00:30:34,990
+ثلاث قيم؟ خمس قيم، سالب اثنين، سالب واحد، والصفر
+
+383
+00:30:34,990 --> 00:30:39,450
+والواحد والاثنين، طب الصفر دي بتمثل أي واحدة من
+
+384
+00:30:39,450 --> 00:30:44,070
+الخمسة دول؟ الله أعلم، عشان هيك بنقول no true zero، تمام
+
+385
+00:30:44,070 --> 00:30:48,130
+في القيمة دي ما فيش true zero، interval scale
+
+386
+00:30:53,300 --> 00:30:59,620
+لما باجي بقول الأسبوع الرابع من الشهر، عادة الأسبوع
+
+387
+00:30:59,620 --> 00:31:05,380
+اللي عندي بيبدأ ما بنواجهاش مثلاً من السبت، لكن
+
+388
+00:31:05,380 --> 00:31:10,260
+الأسبوع الرابع من الشهر، مين قال أنه بدأ السبت؟ لأن
+
+389
+00:31:10,260 --> 00:31:13,020
+أول أسبوع بيبدأ من أول يوم في الشهر، ده بتعد سبعة
+
+390
+00:31:13,020 --> 00:31:18,550
+أيام، تمام؟ وبتصير إيش؟ ه
+
+445
+00:35:43,870 --> 00:35:47,130
+temperature in Kelvin
+
+446
+00:35:49,870 --> 00:35:55,090
+درجة الحرارة بالكيلفن أو بالفهرنهايت، شو رأيكم؟
+
+447
+00:35:55,090 --> 00:35:59,070
+مش هي عبارة عن نسبة؟ لما بتحول درجة الحرارة عبارة
+
+448
+00:35:59,070 --> 00:36:04,830
+عن طرق، سيلقي عبارة عن طرح وقسمة أحيانًا، الـ counts و
+
+449
+00:36:04,830 --> 00:36:08,290
+الـ length، الأميال أو الأطوال، ممكن تكون عندي كذلك
+
+450
+00:36:08,290 --> 00:36:13,210
+كذلك من الأشياء التي يجب أن نفهمها مع الـ data set
+
+451
+00:36:13,210 --> 00:36:17,250
+التي هي الـ discrete و الـ continuous، شو يعني
+
+452
+00:36:17,250 --> 00:36:24,130
+discrete؟ منفصل، continuous متصل، يا عيني عليكم، كويس
+
+453
+00:36:24,130 --> 00:36:27,670
+الآن، لما بتكون الـ values التي موجودة عندي هنا
+
+454
+00:36:27,670 --> 00:36:36,090
+finite منتهية، منتهية، شو يعني منتهية؟ شباب، محدودة،
+
+455
+00:36:36,090 --> 00:36:41,670
+معروفة، خمس خيارات، عشرة، عشرين، ثلاثين، مئة، مئتان،
+
+456
+00:36:41,670 --> 00:36:50,530
+مليون، limited، مليار، أي رقم تريد أن تلفظه، تمام؟ هذا رقم
+
+457
+00:36:50,530 --> 00:36:53,830
+معدود، وبالتالي نحن نقدر نعدّه، فهذا أسميه أنا
+
+458
+00:36:53,830 --> 00:37:02,330
+discrete، تالي، تمام؟ لكن لو أنا جئت سألتك، الأرقام
+
+459
+00:37:02,330 --> 00:37:07,210
+ما بين صفر وواحد، في الـ interval من صفر وواحد،
+
+460
+00:37:07,210 --> 00:37:13,370
+كم الأرقام الموجودة؟ countably infinite، حرام
+
+461
+00:37:13,370 --> 00:37:18,270
+عليك يا شيخ، infinite، اه، من صفر لواحد، infinite، عارف
+
+462
+00:37:18,270 --> 00:37:32,020
+لماذا؟ هذا صفر فاصلة واحد، لسه
+
+463
+00:37:32,020 --> 00:37:40,220
+ما تتكلمش على صفار بعد، كم تريد أن تتوقف بعد
+
+464
+00:37:40,220 --> 00:37:47,880
+كم؟ no limit، تمام؟ وهذا فعليًا infinite، مجموعة
+
+465
+00:37:47,880 --> 00:37:51,100
+غير منتهية، وبالتالي المجموعة المنتهية، أنا مستحيل
+
+466
+00:37:51,100 --> 00:37:56,700
+أن أعدها، لكن هنا يجيء ليقول لي، الـ discrete attribute
+
+467
+00:37:56,700 --> 00:38:00,240
+هو عبارة عن attribute يحتوي على finite أو
+
+468
+00:38:00,240 --> 00:38:08,040
+countably infinite set، شو يعني countably infinite؟
+
+469
+00:38:11,760 --> 00:38:16,000
+المجموعة غير منتهية، لكن ممكن تجيء عند حد معين فيها،
+
+470
+00:38:16,000 --> 00:38:21,220
+يعني مثلًا، أجيء أقول لك عدد الأيام التي على الكرة
+
+471
+00:38:21,220 --> 00:38:25,700
+الأرضية من
+
+472
+00:38:25,700 --> 00:38:28,280
+يوم الناس الذين صار الـ big bang أو الانفجار الكوني
+
+473
+00:38:28,280 --> 00:38:34,180
+العظيم، حسب تعاليم الجيولوجيا، كم عمر الكرة الأرضية
+
+474
+00:38:34,180 --> 00:38:36,420
+أو عمر الحياة على الكرة الأرضية،
+
+475
+00:38:39,180 --> 00:38:43,320
+أنت ملاحظ؟  يعطيك رقم، والرقم هذا ما يبدوا
+
+476
+00:38:43,320 --> 00:38:47,720
+يكون كبير، بتقول لي... بتقول لي مستمر، مستمر، آخره
+
+477
+00:38:47,720 --> 00:38:53,080
+اليوم، لما نعيش غدًا نعدّه،  لأنها غير منتهية، لكن
+
+478
+00:38:53,080 --> 00:39:00,080
+ليست مستمرة في العدد، لكن كوني أنا أعدّهم، كوني أن
+
+479
+00:39:00,080 --> 00:39:03,140
+ممكن أنا أعدّها، Sir، countable
+
+480
+00:39:06,570 --> 00:39:09,150
+ماشي الحال، هو يعطيك إياها، جاك مليون، مليون في
+
+481
+00:39:09,150 --> 00:39:12,030
+مليار، الكبير، هذا اليوم رقم صفر، أو اليوم رقم واحد،
+
+482
+00:39:12,030 --> 00:39:17,050
+أول يوم، وهذا كان قبل، مثلًا، لا أعرف، تريليون سنة، مش
+
+483
+00:39:17,050 --> 00:39:20,990
+مليون... كم تريليون سنة، لاحظوا أنه كونه  يُعطِي
+
+484
+00:39:20,990 --> 00:39:25,370
+أعدادًا، لكن في الأيام الآن، لو أنا جئت،  اتطلعت في الـ
+
+485
+00:39:25,370 --> 00:39:31,630
+gap بين كل يوم والآخر، خلّيني
+
+486
+00:39:31,630 --> 00:39:37,840
+أقول لك التفاصيل التابعة له، اليوم 24 ساعة، ماشي الحال، الـ
+
+487
+00:39:37,840 --> 00:39:43,600
+أربع وعشرون ساعة، أو الساعة فيها ستون دقيقة، والستون دقيقة
+
+488
+00:39:43,600 --> 00:39:50,680
+فيها ستون ثانية، الستون ثانية فيها millisecond،
+
+489
+00:39:50,680 --> 00:39:59,500
+مظبوط، لكن في لحظة من اللحظات، يتوقف، على الرغم أننا
+
+490
+00:39:59,500 --> 00:40:04,520
+فعليًا شايفينها infinite set، لكن المجموعة هذه ممكن
+
+491
+00:40:04,520 --> 00:40:11,210
+تُعدّ، لو أنا جئت سألتك، بدي عمرك، أعطيني عمرك بالـ
+
+492
+00:40:11,210 --> 00:40:17,210
+بالسنة، والشهر، واليوم، والساعة، والدقيقة، والثانية،
+
+493
+00:40:17,210 --> 00:40:25,330
+ممكن أن يُحسب، مصدق؟ طيب،
+
+494
+00:40:25,330 --> 00:40:29,670
+الآن، هذا الكلام، لماذا أكرره وأعيده في
+
+495
+00:40:29,670 --> 00:40:33,630
+الآن؟ لما أنا أتحدث عن continuous... أو discrete،
+
+496
+00:40:35,050 --> 00:40:39,070
+عشرة أرقام، الأقسام التي عندي، عشرة، عشرين، ثلاثين،
+
+497
+00:40:39,070 --> 00:40:47,250
+أربعين، خمسين، finite،  مظبوط، لماذا؟ لأنه فعليًا ما فيه
+
+498
+00:40:47,250 --> 00:40:52,130
+عندي أنا أي شيء بين الأربعين والخمسين، ما فيه عندي
+
+499
+00:40:52,130 --> 00:40:55,430
+ولا قسم رقم واحد وأربعين، أو خمسة وأربعين، أو تسعة
+
+500
+00:40:55,430 --> 00:40:58,810
+وأربعين، هذه الأرقام التي موجودة عندي، هذه، فهذه أقول
+
+501
+00:40:58,810 --> 00:41:03,460
+عنها، ماذا؟ discrete، يعني لو كانت الأرقام أو القيم
+
+502
+00:41:03,460 --> 00:41:08,100
+التي عندي هنا finite، أو كانت countably infinite values،
+
+503
+00:41:08,100 --> 00:41:12,000
+فأقول عنها هذه discrete values، الآن لو  أحضرت المسطرة،
+
+504
+00:41:12,000 --> 00:41:16,080
+أنا يا شباب، أحضر المسطرة التي كنا نستخدمها زمان،
+
+505
+00:41:16,080 --> 00:41:18,920
+لا أعرف، دائمًا تستخدمونها أو لا، ثلاثون سم طولًا،
+
+506
+00:41:18,920 --> 00:41:24,320
+أقولها، وكل سم فيه عشرة mm، صح؟ الآن لو أنا أريد
+
+507
+00:41:24,320 --> 00:41:29,140
+أن أطلع على عدد السنتيمترات الموجودة، discrete، إذا أنا
+
+508
+00:41:29,140 --> 00:41:32,240
+أتكلم بالسنتيمتر، السنتيمتر الأول، الثاني، الثالث، الرابع،
+
+509
+00:41:32,240 --> 00:41:36,260
+الخامس، لحد الثلاثين، وإذا طلعت على المليميترات التي
+
+510
+00:41:36,260 --> 00:41:40,720
+موجودة، برضه ممكن تكون هذه finite و discrete، لأنه
+
+511
+00:41:40,720 --> 00:41:47,460
+بين المليمتر والآخر gap، عادة الأمور هذه ممكن تعمل
+
+512
+00:41:47,460 --> 00:41:53,520
+شوية ربكة بسيطة في التفريق، في المقابل، continuous،
+
+513
+00:41:54,680 --> 00:41:59,560
+ماذا يعني continuous؟ بين أي قيمتين في الـ
+
+514
+00:41:59,560 --> 00:42:04,320
+continuous، بين أي قيمتين، ممكن ألاقي قيمة أخرى،  لا يمكن
+
+515
+00:42:04,320 --> 00:42:11,980
+gap، بين أي قيمتين، ألاقي قيم بينهما، الآن في العشرة
+
+516
+00:42:11,980 --> 00:42:17,200
+وعشرين، وثلاثين، ما كان فيه، مظبوط؟ الأرقام التي نحن
+
+517
+00:42:17,200 --> 00:42:23,700
+كتبناها، أرقام الطلاب، الآن أقول عنها continuous، أو
+
+518
+00:42:23,700 --> 00:42:28,920
+أقول عنها discrete، لأن ما في و نصف، عندي واحد، هي
+
+519
+00:42:28,920 --> 00:42:34,260
+الـ unit تبعي، هي الـ unit القياس تبعي، الآن discrete،
+
+520
+00:42:34,260 --> 00:42:41,980
+الآن continuous، لما يكون في عندي real number، لما
+
+521
+00:42:41,980 --> 00:42:48,450
+يكون في عندي real number، يعني هكذا أحط في بالي أنا،
+
+522
+00:42:48,450 --> 00:42:54,930
+أي أعداد كانت عبارة عن integer، integer، accountable،
+
+523
+00:42:54,930 --> 00:42:59,150
+integer، accountable، معناه، تقعد بتروح وين؟ باتجاه
+
+524
+00:42:59,150 --> 00:43:03,930
+الـ discrete، الـ discrete، لماذا؟ لأنه بين أي قيمتين
+
+525
+00:43:03,930 --> 00:43:10,750
+ما ألاقيش إيش قيمة، عادة، إن يا جماعة الخير، إذا جئت
+
+526
+00:43:10,750 --> 00:43:15,130
+بكلام بسيط جدًا، ما له علاقة بالرياضيات، إذا الـ step
+
+527
+00:43:15,130 --> 00:43:18,170
+between
+
+528
+00:43:18,170 --> 00:43:25,510
+any two values as a jump، لو
+
+529
+00:43:25,510 --> 00:43:29,650
+كانت بتحسها هذه زي قفزة أو في مدى، فهذه غالبًا
+
+530
+00:43:29,650 --> 00:43:35,190
+discrete، لو
+
+531
+00:43:35,190 --> 00:43:42,130
+كانت الخطوة أو الانتقال as small or tiny step، لو
+
+532
+00:43:42,130 --> 00:43:47,010
+كانت خطوة بسيطة، معناته أنا أتحدث عن ماذا؟
+
+533
+00:43:47,010 --> 00:43:52,730
+continuous، عشان
+
+534
+00:43:52,730 --> 00:43:58,670
+هكذا، لما أجيء على الأرقام أو المسافات أو ما شابه،
+
+535
+00:43:58,670 --> 00:44:02,770
+ممكن أنا أدرج فيها لحد ما أصل المليمتر، لأن لما
+
+536
+00:44:02,770 --> 00:44:07,180
+أصل المليمتر ما فيش خطوة بين المليمتر والآخر، لكن المليمتر
+
+537
+00:44:07,180 --> 00:44:11,280
+مع الـ kilometer، تصبح الآن فعليًا العدد كبير و
+
+538
+00:44:11,280 --> 00:44:14,620
+joined steps، وبالتالي أنا أتحدث عن small، أو أتحدث
+
+539
+00:44:14,620 --> 00:44:19,480
+عفوًا، عن continuous values، temperature و الـ height،
+
+540
+00:44:19,480 --> 00:44:25,560
+و الـ weight، شو رأيكم فيهم؟ continuous، continuous،
+
+541
+00:44:25,560 --> 00:44:29,440
+أو لأنه فيه fraction، وزي ما قلنا قبل شوية بالمثال،
+
+542
+00:44:29,440 --> 00:44:33,040
+السابق، لما تكلمنا عن الأطفال أو وزن الأطفال حديثي،
+
+543
+00:44:33,040 --> 00:44:40,180
+الولادة، يكتب الطبيب 2450 جرامًا، لو الميزان الذي وزن
+
+544
+00:44:40,180 --> 00:44:46,700
+عليه الطفل كتبه 53، هتلاقيه يكتبه 53، لماذا؟ لأن الـ
+
+545
+00:44:46,700 --> 00:44:50,080
+value فعليًا لازم تكون بتفاصيلها الدقيقة، لأبعد حد،
+
+546
+00:44:50,080 --> 00:44:54,660
+الآن، هل ممكن الولد الذي بعده أو قبله، كم الـ
+
+547
+00:44:54,660 --> 00:44:59,720
+value؟ ممكن يكون أربعة... ممكن يكون...
+
+548
+00:44:59,720 --> 00:45:04,760
+كم؟  قلنا 45، يصير خمسين، أو يصير اتخاذ، اتخاذ،
+
+549
+00:45:04,760 --> 00:45:05,600
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+550
+00:45:05,600 --> 00:45:07,880
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+551
+00:45:07,880 --> 00:45:08,280
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+552
+00:45:08,280 --> 00:45:08,840
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+553
+00:45:08,840 --> 00:45:14,580
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+554
+00:45:14,580 --> 00:45:20,420
+اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ، اتخاذ،
+
+555
+00:45:20,420 --> 00:45:28,370
+اتخاذ، اتخاذ، اتخاذ، في كل document يحتوي على
+
+556
+00:45:28,370 --> 00:45:31,690
+مجموعة من الكلمات، فعندي رقم الـ document وعدد
+
+557
+00:45:31,690 --> 00:45:34,450
+الكلمات التي فيه، فعدد الكلمات، الـ attribute هذا
+
+558
+00:45:34,450 --> 00:45:38,590
+discrete، أو continuous؟ discrete، لأن القيم متقطعة
+
+559
+00:45:38,590 --> 00:45:43,710
+وما فيه بينها روابط، لأنه في الآخر أتحدث عن أعداد،
+
+560
+00:45:51,890 --> 00:45:55,330
+بعد ما حاولنا نفهم الـ data... الـ attributes والـ
+
+561
+00:45:55,330 --> 00:45:59,290
+data set التي موجودة عندي، من ضمن الـ understanding
+
+562
+00:45:59,290 --> 00:46:06,950
+يجب أن أذهب، أحاول أن أعمل تحليلًا استكشافيًا للبيانات، وهذا
+
+563
+00:46:06,950 --> 00:46:10,330
+التحليل الاستكشافي لا يطلب مني خبرة كثيرة، يعني ممكن
+
+564
+00:46:10,330 --> 00:46:13,430
+تكون فقط مشكلتي مع الرسم، عشان أحاول أفهم الـ trend
+
+565
+00:46:13,430 --> 00:46:17,230
+تبع الـ data، أحاول أن أعمل visualization، هذا الـ trend،
+
+566
+00:46:17,230 --> 00:46:22,820
+أو هذا الـ... التحليل الاستكشافي مهمته جدًا... مهم،
+
+567
+00:46:22,820 --> 00:46:26,980
+جدا بالنسبة لي، عشان يعرفنا أي هو الصحيح، إذا أنا
+
+568
+00:46:26,980 --> 00:46:31,400
+فعليًا واقف على أرضية صلبة، الـ hypothesis تبعي،
+
+569
+00:46:31,400 --> 00:46:34,700
+الفرضيات التي أنا أعمل عليها فعليًا، ستجيب النتيجة
+
+570
+00:46:34,700 --> 00:46:39,060
+المطلوبة أو لا، وبناء عليه، أنا بالنسبة لي أنا،
+
+571
+00:46:39,060 --> 00:46:42,620
+الدراسة التحليلية الأولية هذه، أو التحليل،
+
+572
+00:46:42,620 --> 00:46:48,140
+الاستطلاعي مهم جدًا، وعادة هذا أنا جالس أحاول
+
+573
+00:46:48,140 --> 00:46:54,000
+زي ما أقوله، أن أُفكّك الـ data، أو أجمع الـ data، وغالبًا
+
+574
+00:46:54,000 --> 00:46:57,300
+أستخدم فيه الـ visualization، عملية الرسم، أحاول
+
+575
+00:46:57,300 --> 00:47:01,520
+أرسمها بأشكال مختلفة، عشان أشوف أنماط البيانات التي
+
+576
+00:47:01,520 --> 00:47:06,300
+ممكن عندي، سأضرب لك مثالًا بسيطًا جدًا هنا، لو أنا جئت قلت،
+
+577
+00:47:06,300 --> 00:47:13,860
+على الـ x axis هنا، أو على الـ، أو على الـ x y هنا، فيه
+
+578
+00:47:13,860 --> 00:47:27,420
+أريد أن أرسم مجموعة من النقاط، نقاط باللون الأحمر، بالشكل
+
+579
+00:47:27,420 --> 00:47:36,840
+هذا، ونقاط باللون الأسود، و
+
+580
+00:47:36,840 --> 00:47:40,880
+هذه الـ data set تبعي، مكونة من two classes، لحد
+
+581
+00:47:40,880 --> 00:47:42,760
+الآن أنا جالس أرسم في الـ safe side،
+
+582
+00:47:46,880 --> 00:47:50,520
+ولما حطيت النقاط السوداء هذه، هنا، أو صار في تداخل
+
+583
+00:47:50,520 --> 00:47:54,160
+بالشكل
+
+584
+00:47:54,160 --> 00:47:59,580
+هذا، سيكون عندي قناعة أن هذين الـ two classes
+
+585
+00:47:59,580 --> 00:48:08,580
+متداخلين لدرجة أن من المستحيل أن أقدر أفصل بينهما، أفصل
+
+586
+00:48:08,580 --> 00:48:13,840
+لكن كيف؟ سأخسر نسبة، أنا مستعد أن أخسر كثير، لكن كم؟
+
+587
+00:48:16,410 --> 00:48:21,170
+يعني، ستقول لي الآن، محمد،
+
+588
+00:48:21,170 --> 00:48:23,770
+يقول لي، أريد أن أحط خط بالشكل هذا، وهذا يمثل نسبة الـ
+
+589
+00:48:23,770 --> 00:48:28,050
+error، صحيح؟ وهذه الخسارة كان يتكلم عنها محمد،
+
+590
+00:48:28,050 --> 00:48:32,050
+okay، أنا ممكن أُوافق معه، لكن ممكن أقول له كمان، يا
+
+591
+00:48:32,050 --> 00:48:36,390
+محمد، أنه فعليًا ما عندي خسارة مطلقًا، لكن كل المطلوب
+
+592
+00:48:36,390 --> 00:48:41,750
+مني، أن أعيد الرسم هذا في
+
+593
+00:48:41,750 --> 00:48:47,890
+الـ 3D، لما جئت رسمتها في الـ 3D، وجدت أنه فعليًا
+
+594
+00:48:47,890 --> 00:48:56,050
+المستوى
+
+595
+00:48:56,050 --> 00:49:01,770
+الـ Z، اختلف مع النقاط هذه، وصار
+
+596
+00:49:01,770 --> 00:49:09,270
+النقاط الحمراء هنا، شو
+
+597
+00:49:09,270 --> 00:49:13,750
+رأيك يا محمد الآن؟ في مجال أن أنا أُفصل بينهما بدون
+
+598
+00:49:13,750 --> 00:49:15,490
+ما أخسر؟ اه، في مجال،
+
+599
+00:49:18,370 --> 00:49:26,390
+يعني، فعليًا شوية، حطيت لك إياها هكذا، وأنت تنظر الآن،
+
+600
+00:49:26,390 --> 00:49:31,030
+شو شايف؟ أنت شايف الـ cover تبع الـ pointer، شايف الـ
+
+601
+00:49:31,030 --> 00:49:34,230
+pointer، على الرغم أن أنا جالس أقول لك أن الـ pointer،
+
+602
+00:49:34,230 --> 00:49:40,170
+موجود، تقول لي، أبدًا، أنا غير قادر أشوفه، ممتاز، ذهبت،
+
+603
+00:49:40,170 --> 00:49:44,740
+عملت rotate فقط، يعني بدل ما أنت كنت شايف 2D، خليك
+
+604
+00:49:44,740 --> 00:49:49,820
+تشوف 3D، بالشكل هذا، فصار في مجال أتكلم عن أن الـ
+
+605
+00:49:49,820 --> 00:49:52,800
+object site هذا، بدون الدراسة الاستكشافية، أو
+
+606
+00:49:52,800 --> 00:49:58,520
+التحليل الاستكشافي للـ data، مش سيكون فيه نتيجة مرضية،
+
+607
+00:49:58,520 --> 00:50:02,300
+بمعنى يا شباب، إذا أنا ما حاولتش أشوف، أفهم الـ data،
+
+608
+00:50:02,300 --> 00:50:06,540
+قبل ما أذهب إليها، أنا في الآخر سأذهب إليها، سيكون كل،
+
+609
+00:50:06,540 --> 00:50:11,760
+جهدي على الفاضي، لماذا؟ لأن إذا بقيت بالمنظر هذا، ما
+
+610
+00:50:11,760 --> 00:50:15,980
+سوف يعطيك، عندي الـ system، ستعطي نسبة خطأ مرتفعة،
+
+611
+00:50:15,980 --> 00:50:21,980
+الجال، محمد، عليها، لكن شوية، ماذا سأخسر، بينما... بينما
+
+612
+00:50:21,980 --> 00:50:26,120
+أ
+
+667
+00:54:41,340 --> 00:54:48,000
+عن الموقع يعني بينجوسين فئة الشباب نافرة من .. من
+
+668
+00:54:48,000 --> 00:54:53,140
+الموقع أو بينجوسين إن الموقع هدفه  لا يتناسب مع المسنين
+
+669
+00:54:53,140 --> 00:55:00,420
+أكثر من الشباب، صحيح؟ طيب هو ممكن تكون الأشياء التي
+
+670
+00:55:00,420 --> 00:55:08,540
+معروضة موجهة للمسنين الآن. إذا صاحب المتجر قرر يزيد
+
+671
+00:55:08,540 --> 00:55:12,680
+عدد الزبائن الذين موجودين عنده، ماذا المفروض أن يفعل؟
+
+672
+00:55:12,680 --> 00:55:19,320
+يروح يدرس هذه الأشياء، ما هي الأشياء التي اشتروها، أو آلية العرض
+
+673
+00:55:19,320 --> 00:55:22,760
+البضاعة، أو آلية تسويقها، أو إلى آخره، ويحاول
+
+674
+00:55:22,760 --> 00:55:26,920
+يسقطها على الفئة التي يريد أن يستهدفها، لكي
+
+675
+00:55:26,920 --> 00:55:30,160
+يقدر يجيب نتيجة. الآن هذا الكلام مستحيل كنت أنا
+
+676
+00:55:30,160 --> 00:55:35,680
+أفهمه لو فعلياً طلعت فقط على الـ two attributes الـ
+
+677
+00:55:35,680 --> 00:55:39,980
+Age والـ Count، أو عدد مرات الشراء. ماذا تقولون؟
+
+678
+00:55:39,980 --> 00:55:44,340
+من المستحيل أن تصل إلى هذه الشغلة، لكن بالـ Graph صار
+
+679
+00:55:44,340 --> 00:55:47,880
+في عندي Pattern واضح، والـ Pattern هذا لو أنا شرحته
+
+680
+00:55:47,880 --> 00:55:52,680
+لـ Top Level Manager في المؤسسة، سيفهمه بدون أي
+
+681
+00:55:52,680 --> 00:55:59,200
+مشاكل، تمام يا جماعة الخير؟ طيب نحن تقريباً خلصنا
+
+682
+00:55:59,200 --> 00:56:05,400
+اليوم. الآن، سنبدأ بجمع data set، الخطوة العملية الأولى التي أنا
+
+683
+00:56:05,400 --> 00:56:09,980
+أريد أن أعمل عليها. الـ data set هذه يجب أن تتناسب مع الـ
+
+684
+00:56:09,980 --> 00:56:13,160
+task السابق. أنا طلبت منكم أن تبدأوا بتشكيل مجموعات
+
+685
+00:56:13,160 --> 00:56:17,460
+وفتحت لكم على الـ forum على الـ model أن زعيم
+
+686
+00:56:17,460 --> 00:56:21,560
+المجموعة، زعيم العصابة، يحط أسماء عصابته. الآن، ماذا
+
+687
+00:56:21,560 --> 00:56:25,640
+المطلوب منكم في الـ data sets؟ مطلوب منكم شيئين. مطلوب
+
+688
+00:56:25,640 --> 00:56:28,960
+منكم اختيار two data sets، واحدة للـ classification
+
+689
+00:56:33,880 --> 00:56:39,520
+والثانية للـ regression. ماذا
+
+690
+00:56:39,520 --> 00:56:43,340
+يعني classification؟ أريد أن أقوم بـ predict للـ label،
+
+691
+00:56:43,340 --> 00:56:46,580
+الـ predict للـ category، والـ regression أريد أن أقوم بـ
+
+692
+00:56:46,580 --> 00:56:51,420
+predict للـ value، الـ continuous value. تمام؟  من أين
+
+693
+00:56:51,420 --> 00:56:54,940
+أريد أن أحصل عليها؟ الإنترنت مليء بها. أمامكم ثلاثة نماذج:
+
+694
+00:56:54,940 --> 00:56:58,970
+الـ kaggle، وهذه الـ Completed Platform، تستطيع الـ
+
+695
+00:56:58,970 --> 00:57:01,770
+Machine Learning والـ Data Science، ممكن تجرب فيها
+
+696
+00:57:01,770 --> 00:57:04,630
+الـ Algorithm والـ Data Sets. الأخرى توفر لك Jupiter
+
+697
+00:57:04,630 --> 00:57:07,510
+Notebooks بالبايثون.  في عندك الـ UCI Machine
+
+698
+00:57:07,510 --> 00:57:10,350
+Learning Repository، توفر لك مجموعة من الـ Data Sets
+
+699
+00:57:10,350 --> 00:57:13,670
+وإن كان بعضها قديم، لكن في الـ description الخاصة بها
+
+700
+00:57:13,670 --> 00:57:17,330
+واضحة. وفي عندك من الـ Data Quests أيضاً، ممكن تختار
+
+701
+00:57:17,330 --> 00:57:22,710
+ماذا المطلوب منكم الآن كمجموعة؟ أريد أن أذهب أنا
+
+702
+00:57:22,710 --> 00:57:27,840
+أبحث مثلاً على الـ classification data set، ممكن أنا
+
+703
+00:57:27,840 --> 00:57:39,060
+أذهب وأقول مباشرةً هنا: free classification data set
+
+704
+00:57:39,060 --> 00:57:44,620
+وممكن أذهب وأقول:  هذا Kaggle، على سبيل المثال،
+
+705
+00:57:44,620 --> 00:57:51,480
+classification
+
+706
+00:57:51,480 --> 00:57:57,370
+مخطئون في كتابتها، ليست خاطئة. هي الآن: find datasets
+
+707
+00:57:57,370 --> 00:58:08,990
+classification في الـ Kaggle classification
+
+708
+00:58:08,990 --> 00:58:12,930
+في هنا، في عندي 422 data set في
+
+709
+00:58:12,930 --> 00:58:16,330
+competition، في الـ competition موجودة الـ data set
+
+710
+00:58:16,330 --> 00:58:22,850
+hair diseases، موجودة على الـ UCI، وهذه موجودة، تم
+
+711
+00:58:22,850 --> 00:58:24,050
+تحميلها قبل سنتين.
+
+712
+00:58:27,350 --> 00:58:32,110
+Google Landmark Data Set، Blood Cell Images، وغيرها.
+
+713
+00:58:32,110 --> 00:58:36,010
+أنا الآن في المرحلة يا شباب، بأنصحكم بالابتعاد عن الـ data
+
+714
+00:58:36,010 --> 00:58:38,530
+set المكوّنة من الصور، ومن الـ audio files، ومن الـ
+
+715
+00:58:38,530 --> 00:58:41,670
+text files. هذه سنأتي إليها في الـ project. الآن، الـ data
+
+716
+00:58:41,670 --> 00:58:44,090
+set التي ستعملون عليها في الـ assignment التي بين أيدينا،
+
+717
+00:58:44,090 --> 00:58:49,490
+التي ستتدربون عليها، تمام؟  تكون structured، تكون
+
+718
+00:58:49,490 --> 00:58:52,730
+structured، يعني مثلاً لو أنا ذهبت هنا على الـ UCI
+
+719
+00:58:57,270 --> 00:59:00,510
+في جوجل data sets، في مجموعة كبيرة، يا شباب. أنتم مجرد
+
+720
+00:59:00,510 --> 00:59:07,750
+اكتبوا فقط: free data sets UCI
+
+721
+00:59:07,750 --> 00:59:17,450
+machine learning data sets، بالـ
+
+722
+00:59:17,450 --> 00:59:20,830
+UCI، في الـ repository الذي موجود عندي هنا. الميزة عن
+
+723
+00:59:20,830 --> 00:59:26,510
+الـ Kaggle أو عن المواقع الأخرى، أنه فعلياً سأحصل على
+
+724
+00:59:26,510 --> 00:59:30,070
+الـ data set بسهولة. يعني لو أنا قلت له في الـ default
+
+725
+00:59:30,070 --> 00:59:33,230
+task، ستجد فيه classification, regression,
+
+726
+00:59:33,410 --> 00:59:35,930
+clustering، إلى آخره. أنا أريد data set لـ
+
+727
+00:59:35,930 --> 00:59:38,730
+classification، وواحدة لـ regression، فممكن مباشرةً
+
+728
+00:59:38,730 --> 00:59:43,790
+هنا أذهب إلى الـ classification، مجرد أن أختار
+
+729
+00:59:43,790 --> 00:59:44,530
+في الـ classification
+
+730
+00:59:50,000 --> 00:59:53,520
+هذه هي الـ classification. هذه كل الـ data sets الآن.
+
+731
+00:59:53,520 --> 00:59:56,780
+في عنده 360 data sets. الأولى مثلاً: الـ
+
+732
+00:59:56,780 --> 00:59:59,880
+two gigahertz indoor channel measurement. نتكلم عن
+
+733
+00:59:59,880 --> 01:00:03,340
+إشارات الـ wifi. تمام؟ أقول classification
+
+734
+01:00:03,340 --> 01:00:07,020
+multivariate، الـ data types، الـ attributes، real، عدد
+
+735
+01:00:07,020 --> 01:00:12,940
+الصفوف 7840، عدد الـ attributes خمسة، والسنة التي تم
+
+736
+01:00:12,940 --> 01:00:16,440
+عليها رفع البيانات الموجودة. يعني مثلاً لو أتينا
+
+737
+01:00:16,440 --> 01:00:23,590
+تكلمنا عن الـ .. الـ nearing .. السمع artificial
+
+738
+01:00:23,590 --> 01:00:26,950
+character، أو الأشخاص الذين لديهم مشكلة في السمع.
+
+739
+01:00:26,950 --> 01:00:31,670
+نفس الكلام، أنتم ممكن تدوروا على الـ data set التي أنتم
+
+740
+01:00:31,670 --> 01:00:35,050
+تشاهدونها مناسبة. لكن .. لكن بما أننا نعمل
+
+741
+01:00:35,050 --> 01:00:39,410
+كمجموعات، مطلوب منكم اسم الـ data set، و description
+
+742
+01:00:39,410 --> 01:00:45,570
+الخاصة بها، و الـ URL الخاص بها، ضعوها أين؟ على الـ forum، لكي
+
+743
+01:00:45,570 --> 01:00:48,990
+الذي يضع مثلاً، الشباب في المجموعة الأولى، اختار
+
+744
+01:00:48,990 --> 01:00:52,170
+الـ data set، خلاص، أنتم مجبرون على البحث عن data set أخرى،
+
+745
+01:00:52,170 --> 01:00:57,510
+ولا تسألوني يا دكتور، الذي يقوم بـ post أولاً هو
+
+746
+01:00:57,510 --> 01:01:00,510
+صاحب السبق في الـ data set الموجودة. لماذا؟ لأني
+
+747
+01:01:00,510 --> 01:01:02,910
+أريد أن أحاول أن يكون لدي أكبر قدر ممكن من الـ
+
+748
+01:01:02,910 --> 01:01:08,770
+variation بين المجموعات. أنتم ونصيبكم.  لا لا لا
+
+749
+01:01:08,770 --> 01:01:11,110
+لا. هذه يا شباب، المواقع التي طرحتها على الـ
+
+750
+01:01:11,110 --> 01:01:14,610
+slides أمامكم، هي عبارة عن بعض samples. يعني جوجل
+
+751
+01:01:14,610 --> 01:01:18,250
+فيها data sets، الفيسبوك توفر data sets، تويتر
+
+752
+01:01:18,250 --> 01:01:21,770
+توفر data sets، لكن أنا في المرحلة الحالية أقول لكم
+
+753
+01:01:21,770 --> 01:01:27,510
+المطلوب منكم: data set  structured data set. ماذا
+
+754
+01:01:27,510 --> 01:01:32,390
+ستفعلون فيها؟  أحضروها، افهموا، افهموا ماذا تتحدث عنه، عدد الـ
+
+755
+01:01:32,390 --> 01:01:35,170
+instances، عدد الـ attributes الموجودة، أنواع الـ
+
+756
+01:01:35,170 --> 01:01:38,170
+attributes الموجودة، ما هي، لكي تكون المحاضرة القادمة
+
+757
+01:01:38,170 --> 01:01:46,890
+فعلياً، سنبدأ بالعمل مع أول Python
+
+758
+01:01:46,890 --> 01:01:51,230
+أو RapidMiner، أي واحد
+
+759
+01:01:51,230 --> 01:01:54,760
+الذي يريد أن يعمل به.  ما الذي أريده في نهايته؟ الآن نحن
+
+760
+01:01:54,760 --> 01:01:56,980
+من المحاضرة القادمة سنبدأ بالحديث عن الـ data
+
+761
+01:01:56,980 --> 01:02:00,220
+preparation. محاضراتنا الثلاث الماضية أو الاثنتين
+
+762
+01:02:00,220 --> 01:02:02,660
+الماضيتين كانتا في data understanding، في فهم
+
+763
+01:02:02,660 --> 01:02:07,000
+البيانات. الآن، في تحضير البيانات للـ mining، نحتاج الـ
+
+764
+01:02:07,000 --> 01:02:09,920
+data set. لكي عندما أقول لكم: اذهبوا ابحثوا عن الـ noise، وقولوا
+
+765
+01:02:09,920 --> 01:02:13,240
+هل يوجد noise في الـ data set أم لا؟ طبعاً يا شباب،
+
+766
+01:02:13,240 --> 01:02:17,580
+لكي نكون منصفين أيضاً، العمل، العمل يجب أن يكون جماعياً،
+
+767
+01:02:17,580 --> 01:02:21,420
+يعني لا ترضوا أن شخصاً في مجموعتكم يكون
+
+768
+01:02:21,420 --> 01:02:25,250
+متكلاً، معتمداً عليكم، لأنه لن يأخذ نفس علامتكم، أو بين
+
+769
+01:02:25,250 --> 01:02:31,030
+بينجوسين، حرام أن تنزلوا أنتم لعلامته أيضاً.
+
+770
+01:02:31,030 --> 01:02:36,770
+اشتغلوا ما ترونه مناسباً، غالباً سترضون.
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aBdn0U7iDfc_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aBdn0U7iDfc_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..c0e58fa1c28e63cf8b5ae674f5ef3ce6c23c14e5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aBdn0U7iDfc_postprocess.srt
@@ -0,0 +1,3080 @@
+1
+00:00:05,030 --> 00:00:07,210
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,210 --> 00:00:11,270
+اليوم ان شاء الله تعالى هنكمل في ال chapter التاني
+
+3
+00:00:11,270 --> 00:00:16,410
+اللي هي data understanding وكنا حكينا المرات
+
+4
+00:00:16,410 --> 00:00:19,730
+الماضية على مجموعة او اتناقشنا في مجموعة من
+
+5
+00:00:19,730 --> 00:00:24,430
+الأسئلة اللي لها علاقة بفهم البياناتفي حد بيذكرنا
+
+6
+00:00:24,430 --> 00:00:28,250
+شباب مجموعة من الأسئلة كانت الأسئلة بتتمحور حوالين
+
+7
+00:00:28,250 --> 00:00:33,310
+شغلات أساسية اللي لها علاقة في فهم البيانات وإيش
+
+8
+00:00:33,310 --> 00:00:36,810
+المقصود وإيش البنيا من البيانات حد بيقدر يجاوبنا
+
+9
+00:00:36,810 --> 00:00:49,210
+حجم البيانات المتوفرة أيوة غيره هل
+
+10
+00:00:49,210 --> 00:00:54,710
+هناك مصادر أخرى لل data ممكن تدعمها غيرههل
+
+11
+00:00:54,710 --> 00:01:02,290
+الصلاحية .. هل البيانات هذه valid or invalid؟ كل
+
+12
+00:01:02,290 --> 00:01:07,790
+ال data حكاها السؤال، أيوةهل ال data artificial
+
+13
+00:01:07,790 --> 00:01:12,790
+ولا real data والسؤال الأهم من كل هذا هل ال data
+
+14
+00:01:12,790 --> 00:01:17,850
+هذه بتحل المشكلة هاي ولا لأ relevant to the
+
+15
+00:01:17,850 --> 00:01:21,450
+problem or not تمام لأنه لو ماكنتش relevant وكانت
+
+16
+00:01:21,450 --> 00:01:25,430
+valid وكانت كبيرة وفيها مصادر أخرى عالفاضي ماتنفعش
+
+17
+00:01:25,430 --> 00:01:28,570
+مع ال task اللي أنا بدي أشتغل عليها وكلنا اتكلمنا
+
+18
+00:01:28,570 --> 00:01:30,230
+أن أنواع البيانات بشكل عام
+
+19
+00:01:33,140 --> 00:01:36,220
+Structured Data اللي احنا متعامل مع الجداول وفي
+
+20
+00:01:36,220 --> 00:01:39,200
+عندي unstructured زي الصور و ال audio و ال text و
+
+21
+00:01:39,200 --> 00:01:42,880
+الاخره في عندك Dynamic Data انه بيصير في عندي
+
+22
+00:01:42,880 --> 00:01:46,860
+تحديث مستمر على البيانات اللي موجودة عندي وفي عندي
+
+23
+00:01:46,860 --> 00:01:50,360
+Static Data البيانات مابيصيرش عليها تحديل السؤال
+
+24
+00:01:50,360 --> 00:01:54,160
+الآن لو كان في عندي صورة و الصورة هذه انا بتصفحها
+
+25
+00:01:54,160 --> 00:01:58,910
+في اليوم عشر مرات بتغير على محتوى هالحاجةلأ
+
+26
+00:01:58,910 --> 00:02:01,390
+وبالتالي هي static واحد يقول يا دكتور لما هو ممكن
+
+27
+00:02:01,390 --> 00:02:04,750
+انا اروح اعدل عليها ال Photoshop كم مرة هتعدل
+
+28
+00:02:04,750 --> 00:02:09,370
+عليها مرتين تلاتة بس في الآخر هترجع static ومش
+
+29
+00:02:09,370 --> 00:02:11,890
+هتكون في ال data وزي ما قلنا المرة الماضية احنا
+
+30
+00:02:11,890 --> 00:02:19,090
+فعليا شغلنا هيكون في داخل ال static data الان ال
+
+31
+00:02:19,090 --> 00:02:24,470
+data set اللي عنديبشكل عام الان مش هقول عليها
+
+32
+00:02:24,470 --> 00:02:27,990
+database ولا هقول عليها data source هتصير هي
+
+33
+00:02:27,990 --> 00:02:31,970
+بمثابة data set اللي هي غالبا هتكون عبارة عن جدول
+
+34
+00:02:31,970 --> 00:02:36,430
+واحد بيجمع كل ال data اللي موجودة لما اتعامل معاها
+
+35
+00:02:36,430 --> 00:02:39,490
+الان ال data sets اللي عندي بدي أفهم ان هنا فيه
+
+36
+00:02:39,490 --> 00:02:42,740
+ممكن يكون عبارة عن مجموعة من ال recordsو ال record
+
+37
+00:02:42,740 --> 00:02:45,740
+إما من relational data أو data matrix مصفوفات
+
+38
+00:02:45,740 --> 00:02:51,560
+بتحتوي على بيانات document data ممكن يتحول ل
+
+39
+00:02:51,560 --> 00:02:54,940
+record بحيث إنه انا يكون في عندي مثلا في ال data
+
+40
+00:02:54,940 --> 00:02:59,080
+set أو في ال folder اللي معايا في عندي عشر ملفات
+
+41
+00:02:59,080 --> 00:03:04,160
+text files معناته أنا بتكلم على عشر أرز عشر صفوف
+
+42
+00:03:04,160 --> 00:03:08,960
+الأعمدة هي عبارة عن ال frequent terms اللي موجودة
+
+43
+00:03:08,960 --> 00:03:12,920
+common ما بينالـ three .. الـ ten documents هدول
+
+44
+00:03:12,920 --> 00:03:16,640
+بدور على الكلمات الأساسية و بنشوفهم فممكن أنا أعمل
+
+45
+00:03:16,640 --> 00:03:20,280
+record بناء على ال data ال transactional data في
+
+46
+00:03:20,280 --> 00:03:24,700
+ال graph data كلكوا بتعرفوا أو بتستخدموا ال google
+
+47
+00:03:24,700 --> 00:03:27,260
+maps و كلكوا درستوا data structure و discrete
+
+48
+00:03:27,260 --> 00:03:30,080
+mathematics و تعرفتهوا على ال graphs ال graph هو
+
+49
+00:03:30,080 --> 00:03:33,240
+عبارة عن مجموعة .. أنزوج مرتب من النقاط و الجسور
+
+50
+00:03:33,240 --> 00:03:38,610
+اللي بينها مصبوط فهذه عبارة عنفالـ Graph والشبكات
+
+51
+00:03:38,610 --> 00:03:41,710
+أو الشبكات تمثل بالـ Graph بشكل كويس سواء كان على
+
+52
+00:03:41,710 --> 00:03:45,170
+الشبكة العنكبوتية ولا في ال social networks أو حتى
+
+53
+00:03:45,170 --> 00:03:52,630
+في التراكيب النووية إلى آخره الآن في ال order data
+
+54
+00:03:52,630 --> 00:03:57,210
+البيانات المرتبطة بالزمن وانت شفت خلال ال
+
+55
+00:03:57,210 --> 00:03:59,890
+assignment البسيط اللي كان عندما انتوا عملتم التحث
+
+56
+00:03:59,890 --> 00:04:03,630
+عن ال time seriesالـ temporal والـ special
+
+57
+00:04:03,630 --> 00:04:06,350
+والشغلات هذه طبعا بعيدا عن ال special كان في عند
+
+58
+00:04:06,350 --> 00:04:10,730
+ال time series وال temporal وال sequence ذاتها هي
+
+59
+00:04:10,730 --> 00:04:14,970
+عبارة عن مرتبطة أو data مرتبطة بعمل الزمن بعمل
+
+60
+00:04:14,970 --> 00:04:22,130
+الزمن طيب الآن الفيديو هل هو ordered بس ordered
+
+61
+00:04:22,130 --> 00:04:26,170
+ترتيب و ترتيب زمني ولا لأ يعني بينجو سين لما أنا
+
+62
+00:04:26,170 --> 00:04:30,380
+باجي باستعرض الفيديوالفيديو هو عبارة عن sequence
+
+63
+00:04:30,380 --> 00:04:33,900
+of images صح؟ مجموعة من الصور أو بين جسيم of ال
+
+64
+00:04:33,900 --> 00:04:37,780
+frame وكل frame ممكن يكون مكوّن من مجموعة صور ففي
+
+65
+00:04:37,780 --> 00:04:41,060
+الآخر أنا مستحيل أنتقل لل frame التاني قبل ما أشوف
+
+66
+00:04:41,060 --> 00:04:44,540
+.. أستعرض ال frame الأول وكذلك عند التسجيل لما تم
+
+67
+00:04:44,540 --> 00:04:48,120
+تسجيل الفيديو هذا تم تسجيل ال frame الأول قبل ال
+
+68
+00:04:48,120 --> 00:04:51,680
+frame التاني ففعليا هو عبارة عن ordered و مرتبط
+
+69
+00:04:51,680 --> 00:04:56,130
+بزمنمن ال order كذلك ال genetic sequence زي ما
+
+70
+00:04:56,130 --> 00:04:59,490
+حكينا سابقا وشوفنا ال special و ال data و ال image
+
+71
+00:04:59,490 --> 00:05:03,550
+data او حكينا نوع من التبسيط المحاضرات الماضية
+
+72
+00:05:03,550 --> 00:05:09,630
+الان هذا الجدول بمثل record الجدول
+
+73
+00:05:09,630 --> 00:05:14,930
+صفوف و أعمدة هي ال data تبعتي و هذا اللي فوق ال
+
+74
+00:05:14,930 --> 00:05:18,330
+header تبع الأعمدة و الصفوف في عندي three
+
+75
+00:05:18,330 --> 00:05:22,560
+documents تلت ملفات textوهذه الـ frequent term
+
+76
+00:05:22,560 --> 00:05:27,700
+team و coach و play و ball و soccer و game و win و
+
+77
+00:05:27,700 --> 00:05:31,980
+lost و ال time out و ال season إلى آخره أنا بتكلم
+
+78
+00:05:31,980 --> 00:05:35,740
+على بيانات جمعناها اللي هي علاقة عن text أو
+
+79
+00:05:35,740 --> 00:05:41,640
+تغريدات على سبيل المثال من لناس محبين للكورةفهي ان
+
+80
+00:05:41,640 --> 00:05:45,220
+في الآخر ك text file أخدت ال frequent word الكلمات
+
+81
+00:05:45,220 --> 00:05:48,700
+المتكررة و حطيتهم في قالب أو حطيتهم في أعمدة و
+
+82
+00:05:48,700 --> 00:05:52,060
+شكلت صفوف زي ما هي هنا كذلك في ال market
+
+83
+00:05:52,060 --> 00:05:56,260
+transaction set انا ممكن هي في ال transaction
+
+84
+00:05:56,260 --> 00:05:59,380
+الأول في عندي مجموعة من ال items و لما نتكلم على
+
+85
+00:05:59,380 --> 00:06:02,220
+ال transaction set ممكن نشوف كيف بدى اعمل ال
+
+86
+00:06:02,220 --> 00:06:05,960
+processing بحيث ان احولها ل binary matrix
+
+87
+00:06:08,290 --> 00:06:11,030
+الان يعني لما انا بدي اتكلم على ال data set ال
+
+88
+00:06:11,030 --> 00:06:13,670
+data set تبعتي هي عبارة عن مجموعة من ال data
+
+89
+00:06:13,670 --> 00:06:19,270
+objects ال rows تبعتي data object وال data object
+
+90
+00:06:19,270 --> 00:06:23,160
+هي تمثل ال entityاللي أنا بشتغل عليها، ممكن تكون
+
+91
+00:06:23,160 --> 00:06:26,380
+طالب المدرسة، ممكن تكون السهم اللي أنا بدأ درسه في
+
+92
+00:06:26,380 --> 00:06:29,900
+السوق، بدنا يبقى في حالته، بدي .. ال .. ال ..
+
+93
+00:06:29,900 --> 00:06:31,740
+اليوم اللي أنا بدأ أتوقع في حجم المطنر اللي بديه
+
+94
+00:06:31,740 --> 00:06:35,540
+ينزل، فهي كل واحدة فيهم بتمثل entity أوروبت و عادة
+
+95
+00:06:35,540 --> 00:06:37,920
+ال data set تبعتي أو ال object تبعتي ممكن أنا
+
+96
+00:06:37,920 --> 00:06:40,300
+أجيبها من ال sales .. كما قلت لك في ال sales
+
+97
+00:06:40,300 --> 00:06:44,950
+database، معناة ال entities تبعوتي ال customerو ال
+
+98
+00:06:44,950 --> 00:06:48,650
+store items و المبيعات يعني العناصر اللي أنا
+
+99
+00:06:48,650 --> 00:06:52,070
+ببيعها و الزبون و إيش أنا باعته مش هيلترا ال
+
+100
+00:06:52,070 --> 00:06:58,510
+database الان هدولة كلتهم ممكن يمثلولي ال data set
+
+101
+00:06:58,510 --> 00:07:01,650
+كذلك في ال medical لما أنا بتكلم في ال medical في
+
+102
+00:07:01,650 --> 00:07:06,070
+الطب بتكلم على المريض بتكلم على الأعراض بتكلم على
+
+103
+00:07:06,070 --> 00:07:11,840
+ال diagnosis بتكلم على الطبيبطبيب مهم اسم الطبيب
+
+104
+00:07:11,840 --> 00:07:16,640
+مهم في التشخيص في العلاج و كذا ما مش قطيع للمراجعة
+
+105
+00:07:16,640 --> 00:07:21,580
+اسمه إجرائي لكن فعليا في ال database عشان ال
+
+106
+00:07:21,580 --> 00:07:25,180
+knowledge اسم الطبيب لا يعني شيء تم تشخيص المريض
+
+107
+00:07:25,180 --> 00:07:29,060
+هذا بكذا من اللي شخصه بيعني ليش كتير بس فعليا هو
+
+108
+00:07:29,060 --> 00:07:32,900
+فعليا حالة حقيقية للمرض اللي أنا بدي أعالجه كذلك
+
+109
+00:07:32,900 --> 00:07:35,740
+ال database تبعت الجامعة فيها الطالب و المدرس و
+
+110
+00:07:35,740 --> 00:07:38,970
+المساقى و الاخرينالان شغلة او واحدة من الشغلات
+
+111
+00:07:38,970 --> 00:07:42,790
+المهمة بالنسبة لنا احنا عادة بجينا في ال database
+
+112
+00:07:42,790 --> 00:07:56,090
+بنقول عنه record او table او raw مصبوط الان هنقل
+
+113
+00:07:56,090 --> 00:08:01,150
+عليه اسم sampleأو example أو instance وهذه أشهر
+
+114
+00:08:01,150 --> 00:08:05,010
+المسميات data point و طب الأخرهم يعني ممكن تفتح
+
+115
+00:08:05,010 --> 00:08:08,130
+الكتاب و تلاقي بتكلم يقولك أخدنا example example
+
+116
+00:08:08,130 --> 00:08:12,350
+يعني one row one entity one object of data تمام؟
+
+117
+00:08:12,350 --> 00:08:17,470
+بمثل ال entity هاي ال data object هاي عادة توصف من
+
+118
+00:08:17,470 --> 00:08:20,230
+خلال ال attributes لاحظوا كأني بتكلم عن ال
+
+119
+00:08:20,230 --> 00:08:24,420
+database بتكلم على relational databaseليش؟ لأن الـ
+
+120
+00:08:24,420 --> 00:08:28,500
+structure هي أفضل شغلة لها الجداول عشان أحصل على
+
+121
+00:08:28,500 --> 00:08:32,760
+structure ثابت وبالتالي ال entity أو ال object
+
+122
+00:08:32,760 --> 00:08:36,660
+بتمثل ال rows وال attribute بتمثل الوصف تبع ال
+
+123
+00:08:36,660 --> 00:08:40,820
+rows هذه أو الصفوف اللي موجودة عندها الآن احنا
+
+124
+00:08:40,820 --> 00:08:45,100
+هنروح باتجاه الأعمد لأن في عندنا شوية شغل أو في
+
+125
+00:08:45,100 --> 00:08:51,260
+شوية كلام عليهم لازم نفهمه و نفهمه كويس أولا
+
+126
+00:08:53,080 --> 00:08:57,240
+الـ attribute أو ال data field اللي موجود عندنا
+
+127
+00:08:57,240 --> 00:09:01,480
+هنا بيمثله فعليا ال characteristic أو الخاصية اللي
+
+128
+00:09:01,480 --> 00:09:05,940
+بتهمني يعني بنجو سيل لما بيجي بقول انه في عندي ال
+
+129
+00:09:05,940 --> 00:09:10,260
+attribute اللي اسمه ال age ايش ال values اللي هنا
+
+130
+00:09:10,260 --> 00:09:16,800
+number بتمثل العمر لما بلاقي خمسين يعني انا بعرف
+
+131
+00:09:16,800 --> 00:09:20,660
+خمسين سنة ولا لأ لما بلاقي خمستعش يعني خمستعشر سنة
+
+132
+00:09:21,560 --> 00:09:27,900
+بس مش ممكن ألاجى 250 سنة ولا شو رايكوا؟ في .. في
+
+133
+00:09:27,900 --> 00:09:30,760
+أيام زمان .. اه ماشي الحالة طب في أيام زمان كانش
+
+134
+00:09:30,760 --> 00:09:34,280
+اسمه الف سنة إلا خمسين عاما .. هذا بقى فترة الدعوة
+
+135
+00:09:34,280 --> 00:09:39,080
+فكان عمره جديش صلى الله عليه وسلم على نبينا محمد
+
+136
+00:09:39,080 --> 00:09:46,860
+فالفكرة أن هذه ال attribute تعطيني وصف عن .. يعني
+
+137
+00:09:46,860 --> 00:09:52,780
+بتديني وصف لمين؟لل record اللي موجود الان باجي
+
+138
+00:09:52,780 --> 00:10:01,680
+بلاقي مثلا ال gender بقول email مثلا 45 تمام اللي
+
+139
+00:10:01,680 --> 00:10:06,760
+بتكلم مثلا healthy yes
+
+140
+00:10:06,760 --> 00:10:12,860
+فهي كل واحدة من ال attributes هذه بتحمل ميزةللـ
+
+141
+00:10:12,860 --> 00:10:15,880
+Entity .. عفوًا للـ Object ككل للشخص اللي عمّال
+
+142
+00:10:15,880 --> 00:10:22,120
+نتكلم عليه و عادةً هاي بنسميها احنا Feature و
+
+143
+00:10:22,120 --> 00:10:25,220
+مصطلح الـ Feature هو الأكثر استخداما مع الـ Data
+
+144
+00:10:25,220 --> 00:10:29,720
+Mining و Data Science ممكن
+
+145
+00:10:29,720 --> 00:10:32,160
+هذه الـ Feature سميها Dimension أو Variable
+
+146
+00:10:33,310 --> 00:10:38,830
+Dimension أو Variable الأهم من تسمياتها و كلياتها
+
+147
+00:10:38,830 --> 00:10:41,770
+على الرغم من أنك لازم تحفظها و تنيز ما بينها بشكل
+
+148
+00:10:41,770 --> 00:10:48,170
+كويس بدنا نتكلم على ال attribute types مش هي اللي
+
+149
+00:10:48,170 --> 00:10:51,930
+بتوصف البيانات أصبت مش هي اللي بتوصف ال object أو
+
+150
+00:10:51,930 --> 00:10:55,030
+ال entity اللي عندي الآن في ال database ايش
+
+151
+00:10:55,030 --> 00:10:59,810
+البيانات اللي عندي ال database
+
+152
+00:11:01,870 --> 00:11:07,010
+ايش ال data اللي عندي ال number؟ ال numeric ال
+
+153
+00:11:07,010 --> 00:11:14,250
+numeric هاي integer و float مادة من ال float غيره
+
+154
+00:11:14,250 --> 00:11:25,050
+gate text و ال text هذه character و var character
+
+155
+00:11:25,050 --> 00:11:28,090
+مظبوط غيره blob
+
+156
+00:11:30,730 --> 00:11:37,670
+binary large object غيره؟ إيش ال seal of؟ text
+
+157
+00:11:37,670 --> 00:11:42,630
+كبير؟ طب مافيه عشان؟ ماحنا قولنا خلاص text يعني
+
+158
+00:11:42,630 --> 00:11:46,970
+خلاص ده كل ال data type بغض النظر عن الحجم غيره؟
+
+159
+00:11:46,970 --> 00:11:56,330
+sequence؟ ال boolean غيره؟
+
+160
+00:11:56,330 --> 00:11:59,510
+قريبا هي ال data type اللي أنا بتعامل معاهاالآن
+
+161
+00:11:59,510 --> 00:12:03,110
+على الرغم من أهمية الـ Data Types هذه إلا إنه مش
+
+162
+00:12:03,110 --> 00:12:06,670
+هنعتمد عليها اعتماد كبير في التعامل مع الـ Data
+
+163
+00:12:06,670 --> 00:12:13,450
+Science أو في الـ Data Mining هعتمد مسميات شوية أو
+
+164
+00:12:13,450 --> 00:12:18,130
+بيانات وصفية للـ Data اللي موجودة عندها يعني مثلا
+
+165
+00:12:18,130 --> 00:12:20,750
+الـ Numeric أكيد هتكون الـ Numeric لكن هشوف إن في
+
+166
+00:12:20,750 --> 00:12:25,850
+عندي مسميات شوية مختلفةالها علاقة مثلا هل ال value
+
+167
+00:12:25,850 --> 00:12:30,870
+اللي أنا بتعامل معاها continuous ولا discrete؟ هل
+
+168
+00:12:30,870 --> 00:12:36,890
+هي بتمثل فعليا real number؟ رقم حقيقي ولا ratio؟
+
+169
+00:12:36,890 --> 00:12:41,330
+فالان لو انا اجيت وقلتلك هي انواع ال data أو انواع
+
+170
+00:12:41,330 --> 00:12:44,350
+ال attributes عندك في انواع ال data set nominal
+
+171
+00:12:44,350 --> 00:12:51,830
+nominal يعني categorial او فئوي او فئات
+
+172
+00:12:55,230 --> 00:13:03,310
+binary ثنائي ordinal ايش ordinal ترتيبي او مرتب
+
+173
+00:13:03,310 --> 00:13:09,210
+numerical رقمي طب ممكن يكون هناك تقاطعات او
+
+174
+00:13:09,210 --> 00:13:14,310
+تداخلات بينهم اه ممكن ليش هذا الكلام مهم يا شباب
+
+175
+00:13:14,310 --> 00:13:17,250
+لأن عاملا احنا متكلم في ال data understanding بدي
+
+176
+00:13:17,250 --> 00:13:20,730
+افهم البيانات اللي عندى عشان اعرف ايش بدي اخد
+
+177
+00:13:20,730 --> 00:13:28,540
+اجراءات لاحقا هبدأ معالـ Nominal Attributes الـ
+
+178
+00:13:28,540 --> 00:13:32,100
+Nominal Attributes Nominal Attributes يعني قاعد
+
+179
+00:13:32,100 --> 00:13:36,740
+بأتكلم أنا إنه ال data اللي عندي عبارة عن category
+
+180
+00:13:36,740 --> 00:13:44,560
+أو state أو أسماء أو مسميات لشغلات مثل لو أنا كنت
+
+181
+00:13:44,560 --> 00:13:49,960
+قلتلك في عندي مجموعة ال color تمام؟
+
+182
+00:13:49,960 --> 00:13:53,340
+black و blue, brown, grey, red, white هذه مجموعة
+
+183
+00:13:53,340 --> 00:14:00,110
+ألوانيعني ال attribute كله ياته تمام بياخد واحدة
+
+184
+00:14:00,110 --> 00:14:04,010
+من القيام الست اللي موجودة عندى في المجموعة هاي
+
+185
+00:14:04,010 --> 00:14:09,990
+هاي بسميها إيش category دلوقتي بتكلم على مستويات
+
+186
+00:14:09,990 --> 00:14:17,390
+الطلبة ممتاز جيد جدا جيد مقبول قراصب مصبوط فهاي
+
+187
+00:14:17,390 --> 00:14:23,230
+مستويات وكل واحدة بتمثل category بتمثل فئةالآن
+
+188
+00:14:23,230 --> 00:14:28,090
+غالبا .. غالبا إذا كانت ال text اللي عندي .. ال
+
+189
+00:14:28,090 --> 00:14:34,810
+text اللي عندي finite set ليش يعني finite set؟
+
+190
+00:14:34,810 --> 00:14:40,570
+مجموعة محددة فبقول عنها إيش؟ nominal بقول عنها
+
+191
+00:14:40,570 --> 00:14:44,610
+nominal مثل ال fruits اللي أنا ممكن أتعامل معاها
+
+192
+00:14:44,610 --> 00:14:51,100
+ال fruits اللي بنتعامل معاها جدش عددها؟في الآخر جد
+
+193
+00:14:51,100 --> 00:14:55,180
+ما بدها تكبر فهي limited وبالتالي فبتكلم على
+
+194
+00:14:55,180 --> 00:14:59,500
+categorial أو بسميها nominal وهذا الكلام في ال
+
+195
+00:14:59,500 --> 00:15:03,060
+marital status الحالة الاجتماعية في ال occupation
+
+196
+00:15:03,060 --> 00:15:11,020
+في الوظائف في ال ID numbers كيف؟ الآن لو سألتك عدد
+
+197
+00:15:11,020 --> 00:15:15,490
+الطلاب في الجامعة الإسلامية كده؟خمستاشر ألف الان
+
+198
+00:15:15,490 --> 00:15:18,890
+الرقم هذا اللي موجود عندك واحد ألفين و سبعتاشر
+
+199
+00:15:18,890 --> 00:15:25,810
+واحد اتنين تلاتة أربعة ليه يكون أخر أربع أرقام بس
+
+200
+00:15:25,810 --> 00:15:28,670
+بس في الآخر في الآخر أنا معايا ورقيا شباب بس من
+
+201
+00:15:28,670 --> 00:15:32,750
+الورق بضيعوش على الفاضي مش مشكلة مش مشكلة الان
+
+202
+00:15:32,750 --> 00:15:39,160
+finite ولا مش finiteكل رقم بيمثل قيمة مستقلة،
+
+203
+00:15:39,160 --> 00:15:42,800
+تمام؟ ممكن أقول عنه category، فئة، لكن فعلياً
+
+204
+00:15:42,800 --> 00:15:47,780
+category فيها طالب واحد، لأ، وهنا مشكلتنا الآن، مش
+
+205
+00:15:47,780 --> 00:15:52,060
+لأنه رقمه، مش لأنه العدد تبعهم كبير، الآن لو أنا
+
+206
+00:15:52,060 --> 00:15:55,680
+سأل نرجع لموضوع الفواكه، كام نوع من الفواكه ممكن
+
+207
+00:15:55,680 --> 00:16:00,380
+تعد انت؟خمسين .. ستين .. سبعين .. مية .. متين ..
+
+208
+00:16:00,380 --> 00:16:03,640
+تلات مية .. فيه فواكه ما بتعرفاش .. حتما تمام؟ بس
+
+209
+00:16:03,640 --> 00:16:08,900
+في الآخر مسميات واضحة و غير متداخلة لما باتش بتكلم
+
+210
+00:16:08,900 --> 00:16:15,060
+في ال marital status الحالة الإجتماعية اربع قيم
+
+211
+00:16:15,060 --> 00:16:21,620
+صح؟ ولا خمسة؟ أعزب متزوج .. خليني .. طلقته قبل ما
+
+212
+00:16:21,620 --> 00:16:27,150
+تزوج وزوجه طيب أعزب متزوجأرمل ومطلق أو مطلق و أرمل
+
+213
+00:16:27,150 --> 00:16:31,250
+مظبوط أربع في غيرهم علنية وخير الخامس إذا كان بدك
+
+214
+00:16:31,250 --> 00:16:36,730
+تحطها okay في الآخر finite وهذه كل واحدة ال label
+
+215
+00:16:36,730 --> 00:16:40,890
+تبعها أو النص تبعها معروف category فئة بس رقم
+
+216
+00:16:40,890 --> 00:16:44,790
+الطالب مفهوش يقول عنه فئة لكن لو جيت بولت السنة
+
+217
+00:16:44,790 --> 00:16:49,410
+تبع تسجيل الطالب بنفع تصير فئة جزء من ال number
+
+218
+00:16:49,410 --> 00:16:52,950
+فصارت تصير فئة احنا مابداش نخرب اقتها كتير الآن ال
+
+219
+00:16:52,950 --> 00:16:57,610
+occupation الوظائفمعروف الوظائف ومحصورة زي ما قلنا
+
+220
+00:16:57,610 --> 00:17:09,490
+و ال zip code الأرقام طيب نعم نعم نعم في
+
+221
+00:17:09,490 --> 00:17:13,970
+الآخر
+
+222
+00:17:13,970 --> 00:17:17,850
+جداش بده يزيد العدد يا مؤمن ما هو شوف مفهوم ال
+
+223
+00:17:17,850 --> 00:17:22,520
+finiteيعني في countable و في countably infinite
+
+224
+00:17:22,520 --> 00:17:26,260
+يعني مسموح فيه التزايد بس في الآخر في اللحظة اللي
+
+225
+00:17:26,260 --> 00:17:32,340
+أنا بدي أقرر أحصر الأعداد بأحصرها مش هيزيد مش
+
+226
+00:17:32,340 --> 00:17:35,300
+هيزيد عن سبعة مليار على رأي رامي كل ان كل هي كل مش
+
+227
+00:17:35,300 --> 00:17:38,770
+هتلاقي بشر اكتر من هي صح؟بالآخر احنا هنا بنتكلم
+
+228
+00:17:38,770 --> 00:17:42,430
+بشباب عشان ما نبعدش كتير على المسميات أو الحالات
+
+229
+00:17:42,430 --> 00:17:47,570
+اللي بتهمني لو انا اجيت سألت الأقسام أو أسماء
+
+230
+00:17:47,570 --> 00:17:53,470
+الأقسام أو أرقام الأقسام مثلا Computer Science 901
+
+231
+00:17:53,470 --> 00:18:00,290
+تطوير برمجيات 902 901 و 902 بنفع نقول عنها
+
+232
+00:18:00,290 --> 00:18:04,730
+nominal؟ اه nominal ليش؟ لأن هذه بتمثل category
+
+233
+00:18:04,730 --> 00:18:10,490
+بتمثل فئةبغض النظر عن القيمة اللي أنا كتبتها لكن
+
+234
+00:18:10,490 --> 00:18:16,930
+لو انا اجيت و قلتلك في عندي مجموعة بتمثل ال first
+
+235
+00:18:16,930 --> 00:18:22,610
+second و
+
+236
+00:18:22,610 --> 00:18:30,310
+ال third شو
+
+237
+00:18:30,310 --> 00:18:34,910
+رأيكوا؟ هل هذه ممكن nominal؟ nominal
+
+238
+00:18:37,310 --> 00:18:42,590
+nominal بس أصبر علينا nominal بس جاوبني nominal ده
+
+239
+00:18:42,590 --> 00:18:48,550
+nominal nominal هاي nominal لأنه فعليا قاعد بتكلم
+
+240
+00:18:48,550 --> 00:18:52,830
+على categories أو أسماء أو تلات أصنافات الأول
+
+241
+00:18:52,830 --> 00:18:57,330
+والتاني والتالت مصبوط؟ خلنا نقول الفائزين أو ال
+
+242
+00:18:57,330 --> 00:19:02,730
+winners الأول والتاني والتالت لكن هذه فيها ميزة مش
+
+243
+00:19:02,730 --> 00:19:05,590
+موجودة في ال colors في المجموع اللي فوق
+
+244
+00:19:09,080 --> 00:19:15,140
+إن القيمة إلها معنى معنى ترتيبي بمعنى آخر لو أنا
+
+245
+00:19:15,140 --> 00:19:20,580
+إجيت قولت ال color تبعي blue my favorite color
+
+246
+00:19:20,580 --> 00:19:28,040
+blue واحد تاني هيقولي white بتفرج؟
+
+247
+00:19:28,040 --> 00:19:33,740
+هل بين جسين في أولوية للأبيض عن الأزرق أو العكس؟
+
+248
+00:19:33,740 --> 00:19:37,820
+لأ مافيش لكن لما إجيت أنا قولت ال first
+
+249
+00:19:42,710 --> 00:19:50,030
+winner وقلت ال second او ال third winner وال
+
+250
+00:19:50,030 --> 00:19:56,050
+second winner تفرج ال values عن بعضها تفرج على
+
+251
+00:19:56,050 --> 00:19:59,730
+الرغم انها categorian وهذا يجعلنا نروح باتجاه فئة
+
+252
+00:19:59,730 --> 00:20:04,110
+جديدة اللي هي ال ordinal هيتكلم و يوداني على فئة
+
+253
+00:20:04,110 --> 00:20:08,470
+جديدة اللي هي فئات ال ordinal تمام يا جماعة الخير؟
+
+254
+00:20:08,840 --> 00:20:13,420
+الأن يعني ال ordinal هي عبارة عن حالة خاصة حالة
+
+255
+00:20:13,420 --> 00:20:19,000
+خاصة من من ال categorial أو من ال nominal بحيث إنه
+
+256
+00:20:19,000 --> 00:20:25,660
+في عندي معنى أو sequence موجودة في معاني الكلمات
+
+257
+00:20:25,660 --> 00:20:30,040
+مش بالضرورة تظهر بال sequence بس القيمة إلها معنى
+
+258
+00:20:30,040 --> 00:20:36,660
+ترتيبي تماما مثل الرتب العسكرية بيجي يقولني نقيب و
+
+259
+00:20:36,660 --> 00:20:43,560
+رقيب صح؟عقيد ولواء أو ملازم وملازم أول فهي كل
+
+260
+00:20:43,560 --> 00:20:46,220
+واحدة فيهم الرتبة بتفرج عن التاني على الرغم إنها
+
+261
+00:20:46,220 --> 00:20:50,540
+categorial فئة مصبوط فئة الملازمين فئة العقدة فئة
+
+262
+00:20:50,540 --> 00:20:54,660
+العمدة إلى آخرهم فبالتالي أنا جاعت بأتكلم .. أتكلم
+
+263
+00:20:54,660 --> 00:21:00,220
+على فئات أتكلم على فئات لكنه الكلمات تحمل دلالة
+
+264
+00:21:00,220 --> 00:21:05,650
+ترتيبيةتمام؟ في داخلها وهذا هو ال nominal كذلك من
+
+265
+00:21:05,650 --> 00:21:08,510
+ال .. من ال .. من ال .. عفوا من ال original كذلك
+
+266
+00:21:08,510 --> 00:21:11,590
+من ال nominal في عندي special type اللي هو ال
+
+267
+00:21:11,590 --> 00:21:16,610
+binary هي عبارة عن categorial data أو nominal data
+
+268
+00:21:16,610 --> 00:21:22,050
+لكن ال values اللي عندي فقط two values مش ضروري
+
+269
+00:21:22,050 --> 00:21:27,430
+يكونوا 01 01 one case منهم true false white و
+
+270
+00:21:27,430 --> 00:21:33,810
+black positive و negativehigh و low success و fail
+
+271
+00:21:33,810 --> 00:21:40,550
+اي category او اي مجموعة فقط من two values تمام
+
+272
+00:21:40,550 --> 00:21:47,590
+بسميها ايش؟ binary كيف
+
+273
+00:21:47,590 --> 00:21:52,330
+يعني عكس بعض؟ يعني مثلا انا عندي فئاتين الأول
+
+274
+00:21:52,330 --> 00:21:55,630
+والتاني فقط هاي الناس اللي أنا بدور عليهم الترتيب
+
+275
+00:21:55,630 --> 00:22:02,480
+الأول والتاني زي فئات الدمتمام اللي هي ال R تبعتها
+
+276
+00:22:02,480 --> 00:22:07,900
+مش الفئة ال A لإنه A وB اه تمام؟ الآن لو إجينا
+
+277
+00:22:07,900 --> 00:22:11,380
+نتكلم على تشغيل .. يعني إذا كانت أنت بتفرضها إن
+
+278
+00:22:11,380 --> 00:22:15,260
+هذا هي ال opposite تبعتها okay لكن في الآخر أنا
+
+279
+00:22:15,260 --> 00:22:19,260
+بتكلم إن هي فعليا two different values only في ال
+
+280
+00:22:19,260 --> 00:22:23,560
+value أو في ال attribute اللي موجودة عندهالكن في
+
+281
+00:22:23,560 --> 00:22:27,280
+ال binary values بدي أنتبه عشان أكون فاهم صح ال
+
+282
+00:22:27,280 --> 00:22:30,400
+data اللي عندي هل ال data هذه أو ال binary هذا
+
+283
+00:22:30,400 --> 00:22:34,520
+symmetric ولا asymmetric بمعنى هل القيمتين هدولة
+
+284
+00:22:34,520 --> 00:22:38,480
+لهم نفس الوزن في التعامل ولا أنا مهتم بال value
+
+285
+00:22:38,480 --> 00:22:43,100
+أكتر من التانية مثلا لما بدي بتكلم على ال gender
+
+286
+00:22:43,100 --> 00:22:47,400
+في عالم المساواة بتكلم على ال equality التانتين في
+
+287
+00:22:47,400 --> 00:22:52,410
+نفس الأهميةمصبوط اتنين بنفس الأهمية لكن لو كانت
+
+288
+00:22:52,410 --> 00:22:57,790
+اللي بتكلم على ال diagnosis لفيروس او لمرض معين ال
+
+289
+00:22:57,790 --> 00:23:02,830
+positive أهم مليون مرة من ال negative على الرغم ان
+
+290
+00:23:02,830 --> 00:23:07,240
+ال negative موجود لكن قيمة ال positive highأهم
+
+291
+00:23:07,240 --> 00:23:11,440
+بالنسبة لي اللي انا بتقطع عليها action مختلفة وهذه
+
+292
+00:23:11,440 --> 00:23:15,060
+بسميها احنا اذا لو كان في عندي غير تساوي او
+
+293
+00:23:15,060 --> 00:23:23,200
+القيمتين غير متساويات فبسميها asymmetric حكينا
+
+294
+00:23:23,200 --> 00:23:29,640
+مع ال ordinal بشكل كويس ال numeric في ال numeric
+
+295
+00:23:29,640 --> 00:23:35,000
+الآن كل الأرقام اللي ممكن تخطر على بالناnumeric
+
+296
+00:23:35,000 --> 00:23:43,760
+لكنها تصنف كذلك لتلت فئات quantitative كم وفي عندي
+
+297
+00:23:43,760 --> 00:23:50,340
+interval scaled وفي عندي ratio scaled هنبدأ مع ال
+
+298
+00:23:50,340 --> 00:23:53,800
+quantitative ال quantitative او الكم عادة لما
+
+299
+00:23:53,800 --> 00:23:58,300
+بتكلم على ال age بتكلم على الشغلات اللي بدي اعرف
+
+300
+00:23:58,300 --> 00:24:03,660
+عددها او بدي اعرف كميتها بحط رقم بحط value يعني
+
+301
+00:24:03,660 --> 00:24:08,820
+الآنلو انت روحت بدك تشتري ثاكهة ودخلت ال
+
+302
+00:24:08,820 --> 00:24:12,820
+supermarket ولاجيته بيجي بيقولك تلاتة كيلو او مثلا
+
+303
+00:24:12,820 --> 00:24:16,700
+ال كيلو مثلا بخمس شكل وروحت انت تاخد اتنين كيلو
+
+304
+00:24:16,700 --> 00:24:21,180
+عند الميزان لما حط على الميزان لاجى مثلا اتنين
+
+305
+00:24:21,180 --> 00:24:27,360
+كيلو متين جرام شو وضع المتين جرام هدول؟يا ما بيشيل
+
+306
+00:24:27,360 --> 00:24:30,740
+من الإبداع أو بيحسبك عليهم تمام؟ وبالتالي أنا
+
+307
+00:24:30,740 --> 00:24:33,700
+بتكلم على ال weight اللي أنت أخدته اتنين و اتنين
+
+308
+00:24:33,700 --> 00:24:38,620
+من عشرة، مصبوط؟ وبالتالي هذه إلها كمية معينة لازم
+
+309
+00:24:38,620 --> 00:24:41,740
+تنجسط بيجي بيقول في ال new في الأطفال حديثي
+
+310
+00:24:41,740 --> 00:24:46,180
+الولادة لما بيجي بيقولي والله طوله كده مثلا ستين
+
+311
+00:24:46,180 --> 00:24:49,960
+أو سبعين صنطي فهو فعليا بيقصد ستين أو سبعين صنط
+
+312
+00:24:49,960 --> 00:24:54,340
+بالمبلغ بالعفو بالرقم اللي كتبهلما بيجي بكتب وزنه
+
+313
+00:24:54,340 --> 00:25:00,240
+2450 جرام لان ال 50 جرام بتفرج معاه مابنضلش يكتب 2
+
+314
+00:25:00,240 --> 00:25:06,700
+.5 كيلو جرام ففعليا هو قاعد بيكتب exact quantity
+
+315
+00:25:06,700 --> 00:25:14,020
+كقمية موجودة و طبعا سواء كانت الكمية انتجر او real
+
+316
+00:25:14,020 --> 00:25:17,480
+number ما مش قضية كتير بس في الآخر بنتعامل مع كمية
+
+317
+00:25:17,480 --> 00:25:23,710
+موجودة بال interval scaled النوع التانيو هنا انا
+
+318
+00:25:23,710 --> 00:25:28,110
+بأتكلم ضمن range ال value تبعتي ضمن range لاحظ
+
+319
+00:25:28,110 --> 00:25:32,470
+باتكلمش على discrete و continuous باتكلم على ان
+
+320
+00:25:32,470 --> 00:25:36,670
+القيمة تبعتي هذه تقاس تبعا لمجموعة من ال units
+
+321
+00:25:36,670 --> 00:25:43,190
+لمجموعة من ال units مثال عليها ال temperature درجة
+
+322
+00:25:43,190 --> 00:25:46,030
+الحرارة الآن لو جينا و قولنا درجة الحرارة في
+
+323
+00:25:46,030 --> 00:25:50,690
+الغرفة هذه تقارب العشرين او عشرين
+
+324
+00:25:53,880 --> 00:26:00,540
+لو كانت 19 أنا غلطان؟ طب لو كانت 21؟ برضه لأ، ليش؟
+
+325
+00:26:00,540 --> 00:26:04,660
+لأن الفرق اللي بنتكلم فيه بسيط و في نفس الوجد
+
+326
+00:26:04,660 --> 00:26:10,820
+ماحدش هيحس فيه أو يبين جوسين هيميزه 100% أقولك حتى
+
+327
+00:26:10,820 --> 00:26:12,940
+درجة الحرارة اللي احنا بنقراها من خلال نشارات
+
+328
+00:26:12,940 --> 00:26:13,440
+الأخبار
+
+329
+00:26:16,880 --> 00:26:20,980
+plus minus يعني هو بديك درجة الحرارة القصوى أو
+
+330
+00:26:20,980 --> 00:26:25,940
+العظمة المتوقعة والصغرة أو الدنيا المتوقعة، مظبوط؟
+
+331
+00:26:25,940 --> 00:26:30,920
+خلال اليوم لكن في أي وجد في اليوم؟ ماعرفش، الآن
+
+332
+00:26:30,920 --> 00:26:34,480
+فعليا لكن هو في اليوم الفلاني زي اليوم مثلا ستة
+
+333
+00:26:34,480 --> 00:26:41,840
+عشر اتنين الفين وعشرين ال high temperature في ال
+
+334
+00:26:41,840 --> 00:26:48,010
+high temperature عشرين واللهتم بريتشار سابعة
+
+335
+00:26:53,720 --> 00:26:57,920
+المربوطة بإيش الآن؟ أكيد إيش ال unit تبعتي هنا؟
+
+336
+00:26:57,920 --> 00:27:02,180
+درجة الحرارة سيلز ولا فارينهايت بس في الآخر في
+
+337
+00:27:02,180 --> 00:27:07,780
+الآخر الرقم هذا لا يعبر عن القيمة الحقيقية اللي
+
+338
+00:27:07,780 --> 00:27:11,380
+كانت في اليوم هو عمل estimation وتوقع درجة الحرارة
+
+339
+00:27:11,380 --> 00:27:15,700
+بتكون كذا لكن فعليا جاسا جديش على مدار الساعة لأنه
+
+340
+00:27:15,700 --> 00:27:20,830
+أساسا في أي يوم عاديساعات الليل .. ساعات الليل
+
+341
+00:27:20,830 --> 00:27:25,970
+أبرد من ساعات النهار وأول الليل أدفع من آخره مصدوق
+
+342
+00:27:25,970 --> 00:27:30,390
+انا لأ و العكس كذلك أول النهار أبرد من وسطه وأبرد
+
+343
+00:27:30,390 --> 00:27:33,670
+من آخره لأن في حركة في حركة دوران الأرض والشمس
+
+344
+00:27:33,670 --> 00:27:37,350
+الاخر كلها بتأثر لكن الآن ال value اللي كمان مرة
+
+345
+00:27:37,350 --> 00:27:40,350
+أهم يميز هذه ال values أو هذه القيم اللي احنا
+
+346
+00:27:40,350 --> 00:27:46,710
+بنسميها interval ضمن range ثابت معروفة يعني مثلا
+
+347
+00:27:48,020 --> 00:27:52,540
+قدش أقل درجة حرارة ممكن تكون عندنا في فلسطين صفر
+
+348
+00:27:52,540 --> 00:27:56,600
+على جبال الشيخ مثلا على جبل الجرمق الجبال الشيخ مش
+
+349
+00:27:56,600 --> 00:28:01,300
+عندنا الجليل الجليل الأعلى عندنا تمام الآن صفر
+
+350
+00:28:01,300 --> 00:28:07,700
+سالب تلاتة تلاتة مش قضية كتير و أعلى درجة حرارة
+
+351
+00:28:07,700 --> 00:28:13,360
+خمسة و تلاتين اربعين اريحة في الأغوار هي ال range
+
+352
+00:28:13,360 --> 00:28:17,460
+تابعي من صفر لاربعينو صفر ل 40 مدورش فيه ولا مرة
+
+353
+00:28:17,460 --> 00:28:21,920
+على ال fraction دائما بتكلم على مجموعة من القيم و
+
+354
+00:28:21,920 --> 00:28:26,040
+عشان هيك بنسميها احنا equal size scale يعني انا
+
+355
+00:28:26,040 --> 00:28:30,240
+قلتلي 10 ولا قلتلي 12 صح انا بعرف مقدار درجة
+
+356
+00:28:30,240 --> 00:28:33,420
+الحرارة زي بعض بس في الآخر مش فارقة كتير معايا
+
+357
+00:28:33,420 --> 00:28:40,300
+الان تميز هذه درجة ال interval scale ان في إلها
+
+358
+00:28:40,300 --> 00:28:45,720
+ordered بفهمه انالمّا بيقولّي 15 حتمًا الجو أبرد
+
+359
+00:28:45,720 --> 00:28:51,540
+من 20 و أدفع من 10 فهذا ال order أنا صرت بفهم في
+
+360
+00:28:51,540 --> 00:28:55,460
+ال interval لأنه أنا بعرف ال interval دائمًا من
+
+361
+00:28:55,460 --> 00:29:00,640
+إلى و من هنا بتتغير القيم اللي موجودة عندي الشغل
+
+362
+00:29:00,640 --> 00:29:07,160
+التاني انه أنا فعليًا في ال interval scale مافيش
+
+363
+00:29:07,160 --> 00:29:11,080
+real zero أتعامل معاه لما بيجي يقولّي درجة الحرارة
+
+364
+00:29:11,080 --> 00:29:18,450
+بكرا متوقعة تكون صفرفعليا صفر؟ ممكن أو ممكن لأ، بس
+
+365
+00:29:18,450 --> 00:29:21,490
+الواقع بيقول إذا صارت صفر، كل شغلة فيها ميّه بدا
+
+366
+00:29:21,490 --> 00:29:25,550
+تتجمد، شئنا أمأ بينها، لأنها كانت الطبيعة، ولا لأ؟
+
+367
+00:29:25,550 --> 00:29:28,750
+فعليا تتجمدت؟ يعني فتحت المصورة هيك وما نزلتش
+
+368
+00:29:28,750 --> 00:29:32,110
+الميّه؟ لأ، وبالتالي فعليا مش صفر، على الرغم من
+
+369
+00:29:32,110 --> 00:29:35,550
+أنه جالس درجة الحرارة صفر، بالنسبة له، بالنسبة له،
+
+370
+00:29:35,550 --> 00:29:38,430
+هي يمكن حوالين الصفر، يعني هو اتوقع أنها تنزل أقل
+
+371
+00:29:38,430 --> 00:29:43,760
+من واحد،أو تصل للواحد أو ممكن تصل لأقل قالك درجة
+
+372
+00:29:43,760 --> 00:29:47,680
+الحرارة واحد مع minus one أو minus two plus or
+
+373
+00:29:47,680 --> 00:29:52,500
+minus two ممكن تصل سالب واحد فعليا لكن فعليا هل
+
+374
+00:29:52,500 --> 00:29:55,740
+الصفر اللي قالي يا ده هو الصفر الحقيقي اللي احنا
+
+375
+00:29:55,740 --> 00:29:59,220
+بنتعامل معاه لأ لأ لأ حتما لأ وبالتالي في ال
+
+376
+00:29:59,220 --> 00:30:03,530
+interval انا ماعنديش صفرأو بينجوسين حتى لو شفتوا
+
+377
+00:30:03,530 --> 00:30:07,730
+هذا الصفر فيه بمثل interval يعني هيكد لو أنا باجيت
+
+378
+00:30:07,730 --> 00:30:10,930
+قولت في درجة الحرارة جماعة الخير القيم المعطالة
+
+379
+00:30:10,930 --> 00:30:17,610
+كان plus or minus اتنين وجيت شو .. وجيت قولتلك
+
+380
+00:30:17,610 --> 00:30:22,370
+درجة الحرارة صفر هذه
+
+381
+00:30:22,370 --> 00:30:27,210
+تلت قيم، مصبوط؟ هذه فواقع .. ال value هذه فواقعها
+
+382
+00:30:27,210 --> 00:30:34,990
+تلت قيم تلتة؟ خمس قيمسالب اتنين سالب واحد والصفر
+
+383
+00:30:34,990 --> 00:30:39,450
+والواحد والاتنين طب الصفر دي بتمثل اي واحدة من
+
+384
+00:30:39,450 --> 00:30:44,070
+الخمسة دول الله أعلم عشانك بنقول no true zero تمام
+
+385
+00:30:44,070 --> 00:30:48,130
+في القيامة دي مافيش true zero interval scale
+
+386
+00:30:53,300 --> 00:30:59,620
+لما باجي بقول الأسبوع الرابع من الشهر عادة الأسبوع
+
+387
+00:30:59,620 --> 00:31:05,380
+اللي عندي بيبدأ مانواجتهاش مثلا من السبت لكن
+
+388
+00:31:05,380 --> 00:31:10,260
+الأسبوع الرابع من الشهر مين قال أنه بدأ السبت؟ لأن
+
+389
+00:31:10,260 --> 00:31:13,020
+أول أسبوع بيبدأ من أول يوم في الشهر، ده بتعد سبعة
+
+390
+00:31:13,020 --> 00:31:18,550
+أيام تمام؟ وبتصير إيش؟هيك بيصير تعد أسبوع فأنا
+
+391
+00:31:18,550 --> 00:31:21,030
+بصير آخر أسبوع في الشهر بتكلم عليه الأسبوع الرابع
+
+392
+00:31:21,030 --> 00:31:24,790
+اللي موجود عندي هل فهو صدف يوم سبت أو لأ ففعلا مش
+
+393
+00:31:24,790 --> 00:31:27,990
+.. مش .. مش دقيق أنه أنا لازم أبدأ من يوم السبت بس
+
+394
+00:31:27,990 --> 00:31:34,730
+مصطلح و من الشغلات اللي احنا بنتكلم عليها النوع
+
+395
+00:31:34,730 --> 00:31:41,230
+التالت في ال quantitative ال ratio scaled وهذا ال
+
+396
+00:31:41,230 --> 00:31:45,580
+ratio لما أنا بتكلم عليهنسبة مئوية والنسبة المئوية
+
+397
+00:31:45,580 --> 00:31:51,060
+جماعة الخير الصفر وارد فيها لما تكون ال value
+
+398
+00:31:51,060 --> 00:31:55,820
+تبعتي صفر وجسمتها على العشرة صفر مش النسبة أو
+
+399
+00:31:55,820 --> 00:32:00,540
+الرشو هي عبارة عن عملية قسمة تمام ليش أنا محتاجها
+
+400
+00:32:00,540 --> 00:32:05,320
+درجة
+
+401
+00:32:05,320 --> 00:32:15,530
+الحرارة اليوم أدفع مرتين من امبارح كلمة مرتين هيمش
+
+402
+00:32:15,530 --> 00:32:22,470
+نسبة؟ مصبوط ولا لأ؟ طيب، لو أنا اجيت قولت راتبي
+
+403
+00:32:22,470 --> 00:32:27,070
+أعلى خمس مرات من راتب فلان بره تكلمتي على نسبة
+
+404
+00:32:27,070 --> 00:32:34,210
+بلاش، الآن بعض الدول العمولات تبعتها أرقامها بتخوف
+
+405
+00:32:34,210 --> 00:32:37,930
+لبنان و سوريا و إيران و تركيا أعتقد لما بتكلم
+
+406
+00:32:37,930 --> 00:32:41,650
+بالليرة، روسيا، الهند
+
+407
+00:32:44,420 --> 00:32:47,760
+اليمن ما شاء الله خبرة في الاقتصاد كلكم صرتوا ما
+
+408
+00:32:47,760 --> 00:32:52,000
+شاء الله عليكم الآن العمل .. العملة بروح بده يشتري
+
+409
+00:32:52,000 --> 00:32:58,200
+مثلا البطارية .. باش بده يشتري علبة عصير بيجي
+
+410
+00:32:58,200 --> 00:33:02,060
+بيقولك حاجة مثلا خمس سلاف ليرة بده يشتري سيارة
+
+411
+00:33:02,060 --> 00:33:07,760
+بيقولك سبعتناشر مليون ليرة مش في محاضرة الاقتصاد
+
+412
+00:33:07,760 --> 00:33:14,440
+انا الفكرة اللي انا بوصلك إياها الآن تخيل17 مليون
+
+413
+00:33:14,440 --> 00:33:19,840
+ليرة و إذا كنت تضيف عليهم ضريبة بنسبة كذا فبصير
+
+414
+00:33:19,840 --> 00:33:25,320
+الرقم هذا شوية بخوف أبدأ أقول واحد سبعة تلاتة خمسة
+
+415
+00:33:25,320 --> 00:33:32,580
+و هاي اتنين جدّيش اقصروا مازالوا سبعة عشر مليون و
+
+416
+00:33:32,580 --> 00:33:37,620
+خمسة و عشرين ألف و متين و تلتمية و واحد و سبعين
+
+417
+00:33:37,620 --> 00:33:43,940
+ليرةتخيل نفسك بدك تعمل عملية ضرب بالرقم برقم زي
+
+418
+00:33:43,940 --> 00:33:49,360
+هذا جدش بدك واجده ع ال calculator ماشي الحل ع ال
+
+419
+00:33:49,360 --> 00:33:54,400
+calculator جدش بدك واجده واجد ادخالهم جدش بداخل
+
+420
+00:33:54,400 --> 00:33:58,160
+معاك بينما لو انا اجيت قلتلك الأرقام اللي زي هذه
+
+421
+00:33:58,160 --> 00:34:02,400
+انا هعملها scaling لواحد
+
+422
+00:34:03,440 --> 00:34:06,560
+1 من 10 مثلا بدي أجسم على 10 مليون كل الأرقام اللي
+
+423
+00:34:06,560 --> 00:34:09,580
+عندي أجسم عليها على 10 مليون فالرقم اللي عندي هذا
+
+424
+00:34:09,580 --> 00:34:14,640
+كده ايش بيصير؟ 1.7 مع ال truncation أو مع ال
+
+425
+00:34:14,640 --> 00:34:17,580
+roundation ال zero هذا ايش؟ اخر رقم هو اللي انا
+
+426
+00:34:17,580 --> 00:34:22,620
+بحتفظ فيه فشو رأيكم؟ مين أسهل؟ الرقم هذا ولا 17
+
+427
+00:34:22,620 --> 00:34:31,820
+.25371؟ لأ أكيد 1.7 أسهل1.7 أسهل فالان بعض ال data
+
+428
+00:34:31,820 --> 00:34:34,500
+.. بعض ال data صعب ان انا أروح و أحط فيها الأصفار
+
+429
+00:34:34,500 --> 00:34:38,280
+فبروح بيجي و بقولي حجم الاقتصاد كان في البلد
+
+430
+00:34:38,280 --> 00:34:44,900
+الفلاني على سبيل المثال بروح بيقولي مثلا ال dollar
+
+431
+00:34:44,900 --> 00:34:50,360
+بالmillion و بروح بيقولي مثلا 15
+
+432
+00:34:53,070 --> 00:34:56,890
+15 مليون مافيش داعي الأصفار كلها هي نسبة فجسم
+
+433
+00:34:56,890 --> 00:35:01,490
+الرقم اللي عنده على جداش على المليون اللي موجهة
+
+434
+00:35:01,490 --> 00:35:04,250
+هنا ليش لأنه زي ما قلتلك هي بتخفف علينا في ال
+
+435
+00:35:04,250 --> 00:35:07,310
+computation انت الآن لو أنا جيت فعليا قلتلك اضرب
+
+436
+00:35:07,310 --> 00:35:14,270
+للرقم هذا في تلاتة بعيدا عن ال calculator وضرب 1.7
+
+437
+00:35:14,270 --> 00:35:18,670
+في تلاتة حتما
+
+438
+00:35:18,670 --> 00:35:22,610
+هذا هياخد معاك أقل وقتاطبعاً لما بيجي بيقولك ان
+
+439
+00:35:22,610 --> 00:35:25,170
+الرقم هذا بتتحول ل binary وعملية الضرب بال binary
+
+440
+00:35:25,170 --> 00:35:28,470
+يعني كل digit بتدخل في العملية فبياخد مني وقت كتير
+
+441
+00:35:28,470 --> 00:35:31,490
+في عملية ال processing انا بكفيني حجم ال data اللي
+
+442
+00:35:31,490 --> 00:35:34,450
+ماخد عامة ال 100 ألف record كمان بيقولي هذا بياخد
+
+443
+00:35:34,450 --> 00:35:39,830
+مش عارف كم مليون digits فلازم نعمل ratio scaling
+
+444
+00:35:39,830 --> 00:35:43,870
+او بعض ال data بتكون فعليا هي عبارة عن ratio scale
+
+445
+00:35:43,870 --> 00:35:47,130
+temperature in Kelvin
+
+446
+00:35:49,870 --> 00:35:55,090
+درجة الحرارة بالكيلفن او بالفهرين هايت شو رأيكوا؟
+
+447
+00:35:55,090 --> 00:35:59,070
+مش هي عبارة عن نسبة؟ لما بتحول درجة الحرارة عبارة
+
+448
+00:35:59,070 --> 00:36:04,830
+عن طق سيلق عبارة عن طرح وقسمة أحيانا ال counts و
+
+449
+00:36:04,830 --> 00:36:08,290
+ال length الأميال أو الأطوال ممكن تكون عندي كذلك
+
+450
+00:36:08,290 --> 00:36:13,210
+كذلك من الشغلات اللي لازم نفهمها مع ال data set
+
+451
+00:36:13,210 --> 00:36:17,250
+اللي هي ال discrete و ال continuous شو يعني
+
+452
+00:36:17,250 --> 00:36:24,130
+discrete؟منفصل continuous متصل يا عيني عليكم كويس
+
+453
+00:36:24,130 --> 00:36:27,670
+الآن لما بتكون ال values اللي موجودة عندي هنا
+
+454
+00:36:27,670 --> 00:36:36,090
+finite منتهية منتهية شو يعني منتهية شباب محدودة
+
+455
+00:36:36,090 --> 00:36:41,670
+معروفين خمس خيارات عشرة عشرين تلاتين مية متين
+
+456
+00:36:41,670 --> 00:36:50,530
+مليون limited مليار أي رقم بدك تلفظهتمام؟ هذه رقم
+
+457
+00:36:50,530 --> 00:36:53,830
+معدود وبالتالي احنا نقدر نصلّه فهذا بسميه انا
+
+458
+00:36:53,830 --> 00:37:02,330
+discrete تالي تمام؟ لكن لو انا اجيت سألتك الأرقام
+
+459
+00:37:02,330 --> 00:37:07,210
+ما بين صفر و واحد في ال interval من صفر و واحد
+
+460
+00:37:07,210 --> 00:37:13,370
+جدّيش الأرقام الموجودة countably infinite حرام
+
+461
+00:37:13,370 --> 00:37:18,270
+عليك يا شيخ infinite اه من صفر لواحد infinite عارف
+
+462
+00:37:18,270 --> 00:37:32,020
+ليش؟هذه صفر point واحد لسه
+
+463
+00:37:32,020 --> 00:37:40,220
+ماتكلمش على صفار بعد جداش بدك توجف بعد
+
+464
+00:37:40,220 --> 00:37:47,880
+جداش fish limit تمام؟ وهذا فعليا infiniteمجموعة
+
+465
+00:37:47,880 --> 00:37:51,100
+غير منتهية وبالتالي المجموعة المنتهية أنا مستحيل
+
+466
+00:37:51,100 --> 00:37:56,700
+إيش أعدها لكن هنا بيجي يقولي ال discrete attribute
+
+467
+00:37:56,700 --> 00:38:00,240
+هو عبارة عن attribute بيحتوي على finite أو
+
+468
+00:38:00,240 --> 00:38:08,040
+countably infinite set شو يعني countably infinite؟
+
+469
+00:38:11,760 --> 00:38:16,000
+المجموعة غير منتهية لكن ممكن تجي عند حد معين فيها
+
+470
+00:38:16,000 --> 00:38:21,220
+يعني مثلا اجي اقولك عدد الأيام اللي على الكورة
+
+471
+00:38:21,220 --> 00:38:25,700
+الأرضية من
+
+472
+00:38:25,700 --> 00:38:28,280
+يوم الناس اللي صار ال big bang او الانفجار الكوني
+
+473
+00:38:28,280 --> 00:38:34,180
+العظيم حسب تعوت الجيلوجيا غداش عمر الكورة الأرضية
+
+474
+00:38:34,180 --> 00:38:36,420
+او عمر الحياة على الكورة الأرضية
+
+475
+00:38:39,180 --> 00:38:43,320
+انت ملاحظ؟ عملك بتديني رقم والرقم هذا جد مابدو
+
+476
+00:38:43,320 --> 00:38:47,720
+يكون كبير بقى تقولي .. بتقولي مستمر مستمر أخريته
+
+477
+00:38:47,720 --> 00:38:53,080
+اليوم لما نعيش بكرة بنعده عشان هي غير منتهية لكن
+
+478
+00:38:53,080 --> 00:39:00,080
+هياش مستمرة في العدد بس كوني أنا بعدهم كون انه
+
+479
+00:39:00,080 --> 00:39:03,140
+ممكن انا اعد Sir countable
+
+480
+00:39:06,570 --> 00:39:09,150
+ماشي الحال هو برقملك إياها جالك مليون مليون في
+
+481
+00:39:09,150 --> 00:39:12,030
+جيار الكبير هاي اليوم رقم صفر او اليوم رقم واحد
+
+482
+00:39:12,030 --> 00:39:17,050
+اول يوم و هذا كان قبل مثلا مش عارف تريليون سنة مش
+
+483
+00:39:17,050 --> 00:39:20,990
+مليون .. كام تريليون سنة لاحظوا أنه كونه دالي
+
+484
+00:39:20,990 --> 00:39:25,370
+أعداد لكن في الأيام الآن لو أنا إجيت اتطلعت في ال
+
+485
+00:39:25,370 --> 00:39:31,630
+gap بين كل يوم و التاني خلّيني
+
+486
+00:39:31,630 --> 00:39:37,840
+أقول للتفاصيل تبعته اليوم 24 ساعةماشي الحال الاربع
+
+487
+00:39:37,840 --> 00:39:43,600
+عشرين ساعة او الساعة فيها ستين دقيقة والستين دقيقة
+
+488
+00:39:43,600 --> 00:39:50,680
+فيها ستين ثانية الستان ثانية فيها milli second
+
+489
+00:39:50,680 --> 00:39:59,500
+مظبوط بس في لحظة من اللحظات هيجف على الرغم ان احنا
+
+490
+00:39:59,500 --> 00:40:04,520
+فعليا شايفينها infinite set لكن المجموعة هذه ممكن
+
+491
+00:40:04,520 --> 00:40:11,210
+تعدلو انا اجيت سألتك بدي عمرك تديني عمرك بال ..
+
+492
+00:40:11,210 --> 00:40:17,210
+بالسنة والشهر واليوم والساعة والدقيقة والثانية
+
+493
+00:40:17,210 --> 00:40:25,330
+ممكن ينحسب، مصبور؟ طيب،
+
+494
+00:40:25,330 --> 00:40:29,670
+الان هذه الكلام ليش عمال بحاول بازيد و بعيد في
+
+495
+00:40:29,670 --> 00:40:33,630
+الان؟ لما انا بتكلم على continuous .. او discrete
+
+496
+00:40:35,050 --> 00:40:39,070
+عشرة أرقام الأقسام اللي عندي عشرة عشرين تلاتين
+
+497
+00:40:39,070 --> 00:40:47,250
+أربعين خمسين finite مصبوط ليش لأنه فعليا مافيش
+
+498
+00:40:47,250 --> 00:40:52,130
+عندي أنا أي حاجة بين الأربعين والخمسين مافيش عندي
+
+499
+00:40:52,130 --> 00:40:55,430
+ولا قسم رقم واحد واربعين أو خمسة واربعين أو تسعة
+
+500
+00:40:55,430 --> 00:40:58,810
+واربعين هذه الأرقام اللي موجودة عندي هذه فهذه بقول
+
+501
+00:40:58,810 --> 00:41:03,460
+عنها إيشdiscrete يعني لو كانت الأرقام أو القيم
+
+502
+00:41:03,460 --> 00:41:08,100
+اللي عندهان finite او كان تبلي infinite values
+
+503
+00:41:08,100 --> 00:41:12,000
+فبقول عنها دي discrete values الآن لو بسكت المصطرة
+
+504
+00:41:12,000 --> 00:41:16,080
+انا يا شباب بسكت المصطرة اللي بجينا نستخدمها زمان
+
+505
+00:41:16,080 --> 00:41:18,920
+ماعرفش دايما تستخدموها ولا لأ تلاتين صنط طولة
+
+506
+00:41:18,920 --> 00:41:24,320
+بقولها وكل صنط فيه عشرة milli صح؟ الان لو انا بدي
+
+507
+00:41:24,320 --> 00:41:29,140
+اطلع على عدد الصنطيات اللي موجودةdiscrete اذا أنا
+
+508
+00:41:29,140 --> 00:41:32,240
+بتكلم بالصنطي الصنطي الأول التاني التالت الرابع
+
+509
+00:41:32,240 --> 00:41:36,260
+الخامس لحد التلاتين واذا طلعت على المليات اللي
+
+510
+00:41:36,260 --> 00:41:40,720
+موجودة برضه ممكن تكون هذه finite و discrete لأنه
+
+511
+00:41:40,720 --> 00:41:47,460
+بين الملي والتاني gap عادة الامور هذه ممكن تعمل
+
+512
+00:41:47,460 --> 00:41:53,520
+شوية ربكة بسيطة في التفريق في المقابل continuous
+
+513
+00:41:54,680 --> 00:41:59,560
+ماذا يعني continuous؟ بين أي قيمتين في ال
+
+514
+00:41:59,560 --> 00:42:04,320
+continuous بين أي قيمتين ممكن ألاقي قيمة غيرهم كفش
+
+515
+00:42:04,320 --> 00:42:11,980
+جاب بين أي قيمتين بلاجي قيم بينهم الآن في العشر
+
+516
+00:42:11,980 --> 00:42:17,200
+وعشرين وتلاتين ماكانش فيه مصبوط؟ الأرقام اللي احنا
+
+517
+00:42:17,200 --> 00:42:23,700
+كتبناها أرقام الطلابالان اقول عنها continuous ولا
+
+518
+00:42:23,700 --> 00:42:28,920
+اقول عنها discrete لان مافيش و نص في عندى واحد هي
+
+519
+00:42:28,920 --> 00:42:34,260
+ال unit تبعتي هي unit القياس تبعتي الان discrete
+
+520
+00:42:34,260 --> 00:42:41,980
+الان continuous لما يكون في عندى real number لما
+
+521
+00:42:41,980 --> 00:42:48,450
+يكون في عندىreal number يعني هيك أحط في بالي أنا
+
+522
+00:42:48,450 --> 00:42:54,930
+أي أعداد كانت عبارة عن integer integer accountable
+
+523
+00:42:54,930 --> 00:42:59,150
+integer accountable معناه تقعد بتروح وين؟ باتجاه
+
+524
+00:42:59,150 --> 00:43:03,930
+ال discrete ال discrete ليش؟ لأنه بين أي قيمتين
+
+525
+00:43:03,930 --> 00:43:10,750
+مابلجيش إيش قيمة عادة إن يا جماعة الخيرإذا لاجيت
+
+526
+00:43:10,750 --> 00:43:15,130
+كلام بسيط جدا مالوش علاقة بالرياضيات إذا ال step
+
+527
+00:43:15,130 --> 00:43:18,170
+between
+
+528
+00:43:18,170 --> 00:43:25,510
+any two values as a jump لو
+
+529
+00:43:25,510 --> 00:43:29,650
+كانت بتحسها هذه زي قفزة أو في مدى فهذه غالبا
+
+530
+00:43:29,650 --> 00:43:35,190
+discrete لو
+
+531
+00:43:35,190 --> 00:43:42,130
+كانت الخطوة أو الانتقال as smallor tiny step لو
+
+532
+00:43:42,130 --> 00:43:47,010
+كانت خطوة بسيطة معناته أنا بتكلم على إيش؟
+
+533
+00:43:47,010 --> 00:43:52,730
+continuous عشان
+
+534
+00:43:52,730 --> 00:43:58,670
+هيك لما باجه على الأرقام أو المسافات أو ما شابه
+
+535
+00:43:58,670 --> 00:44:02,770
+ممكن أنا أدرج فيها لحد ما أصل الملي متر لأن لما
+
+536
+00:44:02,770 --> 00:44:07,180
+أصل الملي ما جديش خطوة بين الملي والتانيلكن الملي
+
+537
+00:44:07,180 --> 00:44:11,280
+مع الـ kilometer بتصير الآن فعلياً العدد كبير و
+
+538
+00:44:11,280 --> 00:44:14,620
+join steps وبالتالي أنا بتكلم على small او بتكلم
+
+539
+00:44:14,620 --> 00:44:19,480
+عفوا على continuous values temperature و ال height
+
+540
+00:44:19,480 --> 00:44:25,560
+و ال weight شو رايكوا فيهم continuous continuous
+
+541
+00:44:25,560 --> 00:44:29,440
+او لأنه فيه fraction و زي ما قلنا قبل شوية بالمثال
+
+542
+00:44:29,440 --> 00:44:33,040
+السابق لما اتكلمنا على الأطفال او زن الأطفال حديثي
+
+543
+00:44:33,040 --> 00:44:40,180
+الولادةرح كتب الطبيب 2450 جرام لو الميزان اللى وزن
+
+544
+00:44:40,180 --> 00:44:46,700
+عليه الطفل كتبه 53 هتلاقيه هيكتبه 53 ليش؟ لأن ال
+
+545
+00:44:46,700 --> 00:44:50,080
+value فعليا لازم تكون بتفاصيلها الدقيقة الأبعد حد
+
+546
+00:44:50,080 --> 00:44:54,660
+الان هل ممكن الولد اللى بعديه او قبله جداش ال
+
+547
+00:44:54,660 --> 00:44:59,720
+value ممكن تكون طب ممكن يكون اربع .. ممكن يكون ..
+
+548
+00:44:59,720 --> 00:45:04,760
+جداش احنا قولنا 45يصير خمسين أو يصير اتخاذ اتخاذ
+
+549
+00:45:04,760 --> 00:45:05,600
+اتخاذ اتخاذ اتخاذ اتخاذ اتخاذ اتخاذ اتخاذ اتخاذ
+
+550
+00:45:05,600 --> 00:45:07,880
+اتخاذ اتخاذ اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز
+
+551
+00:45:07,880 --> 00:45:08,280
+اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز
+
+552
+00:45:08,280 --> 00:45:08,840
+اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز
+
+553
+00:45:08,840 --> 00:45:14,580
+اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز
+
+554
+00:45:14,580 --> 00:45:20,420
+اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز اتخاز
+
+555
+00:45:20,420 --> 00:45:28,370
+اتخاز اتخاز اتخاز افي كل document بيحتوي على
+
+556
+00:45:28,370 --> 00:45:31,690
+مجموعة من الكلمات فعندي رقم ال document وعدد
+
+557
+00:45:31,690 --> 00:45:34,450
+الكلمات اللي فيها فعدد الكلمات ال attribute هذا
+
+558
+00:45:34,450 --> 00:45:38,590
+discrete ولا continuous؟ discrete لأن القيم متقطعة
+
+559
+00:45:38,590 --> 00:45:43,710
+ومافيش بينها روابط لأنه في الآخر بتكلم على أعداد
+
+560
+00:45:51,890 --> 00:45:55,330
+بعد ما حاولنا نفهم ال data .. ال attributes وال
+
+561
+00:45:55,330 --> 00:45:59,290
+data set اللي موجود عندى من ضمن ال understanding
+
+562
+00:45:59,290 --> 00:46:06,950
+لازم أروح أحاول أعمل تحليل استكشافي للبيانات و هذا
+
+563
+00:46:06,950 --> 00:46:10,330
+التحليل الاستكشافي بطلبش مني خبرة كتيرة يعني ممكن
+
+564
+00:46:10,330 --> 00:46:13,430
+تكون بس مشكلتي مع الرسم عشان أحاول أفهم ال trend
+
+565
+00:46:13,430 --> 00:46:17,230
+تبع ال data أحاول أعمل visualization هذا ال trend
+
+566
+00:46:17,230 --> 00:46:22,820
+أو هذا ال ..التحليل الاستكشافي مهمته جدا .. مهم
+
+567
+00:46:22,820 --> 00:46:26,980
+جدا بالنسبة لي عشان يعرفنا ايه هو الرايح اذا انا
+
+568
+00:46:26,980 --> 00:46:31,400
+فعليا واقف على ارضية صلبة ال hypothesis تبعتي
+
+569
+00:46:31,400 --> 00:46:34,700
+الفرضيات اللي انا بشتغل عليها فعليا هتجيب النتيجة
+
+570
+00:46:34,700 --> 00:46:39,060
+المطلوبة ولا لأ وبناء عليه انا بالنسبة لإينا
+
+571
+00:46:39,060 --> 00:46:42,620
+الدراسة التحليلية الأولية هذه او التحليل
+
+572
+00:46:42,620 --> 00:46:48,140
+الاستطلاعي مهم جداو عادة هذا انا جاعد عمالي بحاول
+
+573
+00:46:48,140 --> 00:46:54,000
+زي ما بقوله انكوش ال data او اجلب ال data و غالبا
+
+574
+00:46:54,000 --> 00:46:57,300
+بستخدم فيها ال visualization عملية الرسم بحاول
+
+575
+00:46:57,300 --> 00:47:01,520
+ارسمها باشكال مختلفة عشان اشوف انماط البيانات اللي
+
+576
+00:47:01,520 --> 00:47:06,300
+ممكن عندي هضربلك مثال بسيط جدا هنا لو انا جيت قلت
+
+577
+00:47:06,300 --> 00:47:13,860
+على ال x axis هنا او على ال او على ال x y هنا فيه
+
+578
+00:47:13,860 --> 00:47:27,420
+بدي ارسممجموعة من النقاط نقاط باللون الأحمر بالشكل
+
+579
+00:47:27,420 --> 00:47:36,840
+هذا و نقاط باللون الأسود و
+
+580
+00:47:36,840 --> 00:47:40,880
+هاد ال data set تبعتي مكونة من two classes لحد
+
+581
+00:47:40,880 --> 00:47:42,760
+الآن أنا قاعد بأرسم في ال save side
+
+582
+00:47:46,880 --> 00:47:50,520
+ولمّا حطيت النقاط السودة هذه هان أو صار في تداخل
+
+583
+00:47:50,520 --> 00:47:54,160
+بالشكل
+
+584
+00:47:54,160 --> 00:47:59,580
+هذا هصير في عندي قناعة ان هدول ال two classes
+
+585
+00:47:59,580 --> 00:48:08,580
+متداخلين لدرجة ان من المستحيل اقدر افصل بينهم تفصل
+
+586
+00:48:08,580 --> 00:48:13,840
+بس كيف؟ راح اخسر نتفة انا مستعد اخسر كتير بس قداش
+
+587
+00:48:16,410 --> 00:48:21,170
+يعني هتقولي الآن محمد
+
+588
+00:48:21,170 --> 00:48:23,770
+بيقولي بدي أحط خط بالشكل هذا وهذا بنمثل نسبة ال
+
+589
+00:48:23,770 --> 00:48:28,050
+error صحيح؟ وهذه الخسارة كان بيتكلم عليها محمد
+
+590
+00:48:28,050 --> 00:48:32,050
+okay أنا ممكن أتفق معاه لكن ممكن أقوله كمان يا
+
+591
+00:48:32,050 --> 00:48:36,390
+محمد أنه فعليا ماعنديش خسارة مطلقا بس كل المطلوب
+
+592
+00:48:36,390 --> 00:48:41,750
+مني أن أعيد الرسم هذه في
+
+593
+00:48:41,750 --> 00:48:47,890
+ال 3D لما جيت رسمتها في ال 3Dلاقيت انه فعليا
+
+594
+00:48:47,890 --> 00:48:56,050
+المستوى
+
+595
+00:48:56,050 --> 00:49:01,770
+الـ Z أفرج مع النقاط هذه وصارت
+
+596
+00:49:01,770 --> 00:49:09,270
+النقاط الحمرة هيها شو
+
+597
+00:49:09,270 --> 00:49:13,750
+رأيك يا محمد الآن؟ في مجال ان انا افصل بينهم بدون
+
+598
+00:49:13,750 --> 00:49:15,490
+ما اخسر؟ اه في مجال
+
+599
+00:49:18,370 --> 00:49:26,390
+يعني فعليا شوية حطيتلك اياهم هيك وانت بتطلع الآن
+
+600
+00:49:26,390 --> 00:49:31,030
+شو شايف انت شايف ال cover تبعت ال pointer شايف ال
+
+601
+00:49:31,030 --> 00:49:34,230
+pointer على الرغم ان انا قاعد بقولك ان ال pointer
+
+602
+00:49:34,230 --> 00:49:40,170
+موجود بتقوللي ابد انا مش جادر اشوفه ممتاز روحت
+
+603
+00:49:40,170 --> 00:49:44,740
+عملت rotate فقطيعني بدل ما انت كنت شايف 2D خليك
+
+604
+00:49:44,740 --> 00:49:49,820
+تشوف 3D بالشكل هذا فصار في مجال اتكلم على ان ال
+
+605
+00:49:49,820 --> 00:49:52,800
+object site هذا بدون الدراسة الاستكشافية او
+
+606
+00:49:52,800 --> 00:49:58,520
+التحليل الاستكشافي لل data مش هيكون في نتيجة مرضية
+
+607
+00:49:58,520 --> 00:50:02,300
+بمعنى يا شباب اذا انا ماحاولتش اشوف افهم ال data
+
+608
+00:50:02,300 --> 00:50:06,540
+قبل ما اروح فيها انا في الآخر هاروح فيها هيكون كل
+
+609
+00:50:06,540 --> 00:50:11,760
+جهديعلى الفاضي لإيش؟ لإن إذا ضليت بالمنظر هذا ما
+
+610
+00:50:11,760 --> 00:50:15,980
+هي تحكول فيه عندي ال system هتدي نسبة خطأ مرتفعة
+
+611
+00:50:15,980 --> 00:50:21,980
+الجال محمد عليها بس شوية إيش هخسر بينما .. بينما
+
+612
+00:50:21,980 --> 00:50:26,120
+إنه أنا فعليا شغل بسيط يا هاشم كان بيقوللي لأ يعني
+
+613
+00:50:26,120 --> 00:50:29,400
+أنت ممكن تحصل على model يفصل بينهم بدون أي خسارة و
+
+614
+00:50:29,400 --> 00:50:34,890
+ال accuracy one hundred percentهذا الكلام بقويني
+
+615
+00:50:34,890 --> 00:50:37,990
+أو بديني confidence عالي ان انا استمر ان انا شغال
+
+616
+00:50:37,990 --> 00:50:41,610
+في ال track الصح ان ال data هذه ممكن من البداية
+
+617
+00:50:41,610 --> 00:50:46,030
+تكون تديني نتيجة نحا الشغل التاني اذا انت كنت عادة
+
+618
+00:50:46,030 --> 00:50:53,450
+بتدور على donor او ناس على اي نوع من ال funds اللي
+
+619
+00:50:53,450 --> 00:50:57,030
+ممكن تفعلك اياها الناس او المؤسسات الناس بهم هتشوف
+
+620
+00:50:57,030 --> 00:51:01,710
+result فإذا انت مجرد تتكلم معاهعلى الفاضل، لكن
+
+621
+00:51:01,710 --> 00:51:04,550
+بتقول هو هي في عندك دراسة تحليلية بسيطة على وين
+
+622
+00:51:04,550 --> 00:51:08,630
+إحنا رايحين تمام؟ ممكن تصير في عندك توفر قناعة
+
+623
+00:51:08,630 --> 00:51:13,690
+أكتر للشخص اللي موجود عندها هدف الدراسة التحليلية
+
+624
+00:51:13,690 --> 00:51:20,610
+الأساسي أنه أنت فعليا تصير تتعامل أو تندمج أنت و
+
+625
+00:51:20,610 --> 00:51:23,410
+البيانات تصير تحس في البيانات أو في ال data اللي
+
+626
+00:51:23,410 --> 00:51:26,410
+موجودة عندك بشكل عفوي تصير يعني بين قوسين يعني
+
+627
+00:51:26,410 --> 00:51:31,500
+تصير أنت و البيانات واحدتصير فاهم البيانات زي ما
+
+628
+00:51:31,500 --> 00:51:35,400
+انت فاهم حاجة جسمك متى بده يرتاح، متى بدك تاكل،
+
+629
+00:51:35,400 --> 00:51:39,920
+متى بدك تاخد shower إلى آخره هذه حاجتك انت
+
+630
+00:51:39,920 --> 00:51:42,560
+بتعرفها، اكتر واحد بتقدرها في اللحظة اللي بتصير
+
+631
+00:51:42,560 --> 00:51:46,100
+انت familiar مع البيانات بالشكل هذا معناته انت
+
+632
+00:51:46,100 --> 00:51:50,120
+تأكد تماما على خطوات ناجحة بإذن الله في موضوع ال
+
+633
+00:51:50,120 --> 00:51:55,860
+project الشغل التاني إذا انا عملت الدراسة
+
+634
+00:51:55,860 --> 00:52:01,470
+الاستطلاعية هذهبتقوّل فرضيات تبعتي وبتقول فعليا
+
+635
+00:52:01,470 --> 00:52:04,390
+انا بقدر اجيب مجموعة من الفرضيات القوية اللي انا
+
+636
+00:52:04,390 --> 00:52:08,890
+ابني عليها اه شوف بتكون عينك قوية على رأي اهاب
+
+637
+00:52:08,890 --> 00:52:14,530
+وانت بتتكلم انه انا فعليا قادر على انجاز كذا وفي
+
+638
+00:52:14,530 --> 00:52:17,810
+موضوع ال pilot study و الدراسة التحليلية انا خدت
+
+639
+00:52:17,810 --> 00:52:23,550
+تجربة بسيطة فقط في المقترح يسالة الدكتوراهكان
+
+640
+00:52:23,550 --> 00:52:26,650
+بيقولوا لازم على الأقل تمور تلت فصول قلت له أنا
+
+641
+00:52:26,650 --> 00:52:29,910
+عند مقترح و أنا في الفصل التاني قلت مقترح تبعي
+
+642
+00:52:29,910 --> 00:52:35,110
+جاهز ماحدش سمععملت دراسة استطلاعية زي هيكت تحليل
+
+643
+00:52:35,110 --> 00:52:38,650
+قلت لهم أنا جاهز وعندي دراسة تحليلية بس سمعوا
+
+644
+00:52:38,650 --> 00:52:43,630
+دراسة استطلاعية و بيسموها pilot study قال تعالي
+
+645
+00:52:43,630 --> 00:52:46,790
+اعمل presentation عملت presentation فقرروني ودخلت
+
+646
+00:52:46,790 --> 00:52:50,710
+ال discussion ال proposal defense وانا في الفصل
+
+647
+00:52:50,710 --> 00:52:54,190
+التاني ليش؟ لأنه بيقولك لسه يعني انت مش فاهم
+
+648
+00:52:54,190 --> 00:52:57,870
+الموضوع بس كون ان في عندي دراسة انا اساسية
+
+649
+00:52:57,870 --> 00:53:01,370
+وتحليلية استطلاعية مش على كل شيء عيني انا اخد
+
+650
+00:53:02,390 --> 00:53:06,370
+prototype ففعليا يثبت للناس اللي موجودين ان الفكرة
+
+651
+00:53:06,370 --> 00:53:11,170
+هي applicable أو ممكن يكتبلها إيش النجاح و هذا كله
+
+652
+00:53:11,170 --> 00:53:14,230
+بديك زي ما قلتلك بديك بخليك تعيش مع ال data حقيقة
+
+653
+00:53:14,230 --> 00:53:20,750
+و تبني فرضيات قوية ال data هذه لوين ممكن اتواصلك
+
+654
+00:53:20,750 --> 00:53:26,870
+بدي أديك مثال بسيط جدا الان فينا online shop
+
+655
+00:53:26,870 --> 00:53:32,860
+الدكان الإلكتروني أو متجر إلكترونيوالمتجر هذا كان
+
+656
+00:53:32,860 --> 00:53:37,700
+عنده زباين عنده قائمة بالزباين اللي موجودين عنده
+
+657
+00:53:37,700 --> 00:53:43,520
+فبعد سنة راح عمل دراسة بده يشوف عدد او بده يشوف
+
+658
+00:53:43,520 --> 00:53:50,300
+الزبائن تابعونه عدد مرات الزيارة للمتجر هذا الان
+
+659
+00:53:50,300 --> 00:53:56,230
+in the count عدد مرات الزيارةأو بنجوسين نسميها عدد
+
+660
+00:53:56,230 --> 00:54:00,950
+مرات الشراء ان شئت وفي عندى ال customer age أعمار
+
+661
+00:54:00,950 --> 00:54:06,650
+الناس من الدراسة اللى موجودة عندى هان ايش بقى الآن
+
+662
+00:54:06,650 --> 00:54:14,120
+نعم عمر ال 50 ل 80 اكتر ناس ماشتغلهاالان كمان مرة
+
+663
+00:54:14,120 --> 00:54:18,060
+هى الرسماء راح جالك هى كل الزباين تعونى وعدد مرات
+
+664
+00:54:18,060 --> 00:54:22,580
+الشراء اللى تمت من خلال المتجر خلال السنة واضح ان
+
+665
+00:54:22,580 --> 00:54:31,820
+الناس اللى بتراوحوا من ال 51 او 52 سنة لحد 83
+
+666
+00:54:31,820 --> 00:54:41,340
+تقريبا تمام او لأ 78بالـ 78 هدولة أكثر الناس شراء
+
+667
+00:54:41,340 --> 00:54:48,000
+عن الموقع يعني بينجوسين فئة الشباب نافرة من .. من
+
+668
+00:54:48,000 --> 00:54:53,140
+الموقع أو بينجوسين إن الموقع هدب اتناسب مع المسنين
+
+669
+00:54:53,140 --> 00:55:00,420
+أكثر من الشباب مصبوط؟ طب هو ممكن تكون الشغلات اللي
+
+670
+00:55:00,420 --> 00:55:08,540
+معروضة موجهة للمسنين الآن إذا صاحب المتجرقرر يزيد
+
+671
+00:55:08,540 --> 00:55:12,680
+عدد الزبائن اللي موجودين عنده إيش المفروض يساوي
+
+672
+00:55:12,680 --> 00:55:19,320
+يروح يدرس هدول إيش الشغلات اللي أخدوها أو آلية عرض
+
+673
+00:55:19,320 --> 00:55:22,760
+البضاعة أو آلية تسويقها أو أو إلى آخره ويحاول
+
+674
+00:55:22,760 --> 00:55:26,920
+يسقطها على الفئة اللي هو إيش بده يستهدفها عشان
+
+675
+00:55:26,920 --> 00:55:30,160
+يقدر يجيب نتيجة الآن هذا الكلام مستحيل كنت أنا
+
+676
+00:55:30,160 --> 00:55:35,680
+أفهمه لو فعليا طلعت فقط على الـ two attributesالـ
+
+677
+00:55:35,680 --> 00:55:39,980
+Age والـ Count أو عدد مرات الشراء و لا شو رايكوا؟
+
+678
+00:55:39,980 --> 00:55:44,340
+من المستحيل أن تصلّى هيك شغلة لكن بالـ Graph صار
+
+679
+00:55:44,340 --> 00:55:47,880
+في عندى Pattern واضح و ال Pattern هذا لو أنا خطبت
+
+680
+00:55:47,880 --> 00:55:52,680
+فيه ال Top Level Manager في المؤسسة هيفهمه بدون أي
+
+681
+00:55:52,680 --> 00:55:59,200
+مشاكل تمام يا جماعة الخير؟ طيب احنا تقريبا خلصنا
+
+682
+00:55:59,200 --> 00:56:05,400
+اليومالان بدأ نجمع data set لأول خطوة عملية انا
+
+683
+00:56:05,400 --> 00:56:09,980
+بدي اشغل عليها ال data set هي بتكون تتناسب مع ال
+
+684
+00:56:09,980 --> 00:56:13,160
+task سابق انا طلبت منكوا تبدوا تشكلوا مجموعات
+
+685
+00:56:13,160 --> 00:56:17,460
+وفتحتلكوا على ال forum على ال model ان زعيم
+
+686
+00:56:17,460 --> 00:56:21,560
+المجموعة زعيم العصابة يحط أسماء عصابته الان شو
+
+687
+00:56:21,560 --> 00:56:25,640
+المطلوب مني في ال data sets مطلوب مني شغلتين مطلوب
+
+688
+00:56:25,640 --> 00:56:28,960
+مني اختار two data sets واحدة لل classification
+
+689
+00:56:33,880 --> 00:56:39,520
+والتاني للـ regression شو
+
+690
+00:56:39,520 --> 00:56:43,340
+يعني classification؟ بدي اعمل ال predict لل label
+
+691
+00:56:43,340 --> 00:56:46,580
+ال predict لل category وال regression بدي اعمل ال
+
+692
+00:56:46,580 --> 00:56:51,420
+predict لل value ال continuous value تمام؟ بل وين
+
+693
+00:56:51,420 --> 00:56:54,940
+بدي اجيبهم؟ ال internet مليانة هاي قدامك تلت نماذج
+
+694
+00:56:54,940 --> 00:56:58,970
+ال kaggleوهذه الـ Completed Platform بتقدر الـ
+
+695
+00:56:58,970 --> 00:57:01,770
+Machine Learning و الـ Data Science ممكن تجرب فيها
+
+696
+00:57:01,770 --> 00:57:04,630
+ال Algorithm و ال Data Sets الاخره بتوفرلك Jupiter
+
+697
+00:57:04,630 --> 00:57:07,510
+Notebooks بالبايتون في عندك ال UCI Machine
+
+698
+00:57:07,510 --> 00:57:10,350
+Learning Repository بتوفرلك مجموعة من ال Data Sets
+
+699
+00:57:10,350 --> 00:57:13,670
+وإن كان بعضها قديم لكن في ال description تبعتها
+
+700
+00:57:13,670 --> 00:57:17,330
+واضحة وفي عندك من ال Data Quests كمان ممكن تختار
+
+701
+00:57:17,330 --> 00:57:22,710
+ايش المطلوب منك انت الآن كمجموعة؟ بدي اروح انا
+
+702
+00:57:22,710 --> 00:57:27,840
+ادور مثلاعلى ال classification data set ممكن انا
+
+703
+00:57:27,840 --> 00:57:39,060
+اروح اقوله مباشرة هنا free classification data set
+
+704
+00:57:39,060 --> 00:57:44,620
+وممكن اروح اقوله هاي كاجل على سبيل المثال
+
+705
+00:57:44,620 --> 00:57:51,480
+classification
+
+706
+00:57:51,480 --> 00:57:57,370
+مخطئين في كتابتها مش خاطيةهي الان find datasets
+
+707
+00:57:57,370 --> 00:58:08,990
+classification في الكاجل classification
+
+708
+00:58:08,990 --> 00:58:12,930
+في هنا في انا اربعمية و اتنين و عشرين data set في
+
+709
+00:58:12,930 --> 00:58:16,330
+competition في ال competition موجودة ال data set
+
+710
+00:58:16,330 --> 00:58:22,850
+hair diseases موجودة على ال UCI وهذه موجودة تم
+
+711
+00:58:22,850 --> 00:58:24,050
+تحميلها قبل سنتين
+
+712
+00:58:27,350 --> 00:58:32,110
+Google Landmark Data Set Blood Cell Image الاخرين
+
+713
+00:58:32,110 --> 00:58:36,010
+أنا الآن في المرحلة يا شباب بأنصحك تبعد عن ال data
+
+714
+00:58:36,010 --> 00:58:38,530
+set المكوّنة من الصور و من ال audio files و ال
+
+715
+00:58:38,530 --> 00:58:41,670
+text files هذه هنجيها في ال project الان ال data
+
+716
+00:58:41,670 --> 00:58:44,090
+set اللي هتشتغل عليها assignment اللي بين جثين
+
+717
+00:58:44,090 --> 00:58:49,490
+اللي هتتدرب عليها تمام تكون structured تكون
+
+718
+00:58:49,490 --> 00:58:52,730
+structured يعني مثلا لو أنا روحت هنا على ال UCI
+
+719
+00:58:57,270 --> 00:59:00,510
+في جوجل data sets في مجموعة كبيرة شباب انت مجرد
+
+720
+00:59:00,510 --> 00:59:07,750
+اكتب بس free data sets UCI
+
+721
+00:59:07,750 --> 00:59:17,450
+machine learning data sets بال
+
+722
+00:59:17,450 --> 00:59:20,830
+UCI في ال repository اللي موجود عندي هان الميزة عن
+
+723
+00:59:20,830 --> 00:59:26,510
+الكاجل او عن المواقع التانيةإنه فعليا بدي أمصن في
+
+724
+00:59:26,510 --> 00:59:30,070
+ال data set بسهولة يعني لو أنا قلتله في ال default
+
+725
+00:59:30,070 --> 00:59:33,230
+task هتلاقي فيه عنده classification, regression,
+
+726
+00:59:33,410 --> 00:59:35,930
+clustering إلى آخرين أنا بدي data set ل
+
+727
+00:59:35,930 --> 00:59:38,730
+classification واحدة ل regression فممكن قادي
+
+728
+00:59:38,730 --> 00:59:43,790
+مباشرة هان أروح على ال classification مجرد أختار
+
+729
+00:59:43,790 --> 00:59:44,530
+في ال classification
+
+730
+00:59:50,000 --> 00:59:53,520
+هذه هي ال classification هذه كل ال data sets الآن
+
+731
+00:59:53,520 --> 00:59:56,780
+في عنده تلاتمية و ستين data sets الأولى مثلا ال
+
+732
+00:59:56,780 --> 00:59:59,880
+two gigahertz indoor channel measurement نتكلم عن
+
+733
+00:59:59,880 --> 01:00:03,340
+ال wifi signalsتمام بقول ال classification
+
+734
+01:00:03,340 --> 01:00:07,020
+multivariate ال data types ال attributes real عدد
+
+735
+01:00:07,020 --> 01:00:12,940
+الصفوف 7840 عدد ال attributes خمسة والسنة اللي تم
+
+736
+01:00:12,940 --> 01:00:16,440
+عليها رفع البيانات اللي موجودة يعني مثلا لو أجينا
+
+737
+01:00:16,440 --> 01:00:23,590
+اتكلمنا عن ال .. ال nearing .. السيرartificial
+
+738
+01:00:23,590 --> 01:00:26,950
+character أو الناس اللي في عندها المشكلة في السمع
+
+739
+01:00:26,950 --> 01:00:31,670
+نفس الكلام انت ممكن تدور على ال data set اللي انت
+
+740
+01:00:31,670 --> 01:00:35,050
+بتشوفها مناسب لكن .. لكن بما ان احنا بنشتغل
+
+741
+01:00:35,050 --> 01:00:39,410
+كمجموعات مطلوب منك اسم ال data set و description
+
+742
+01:00:39,410 --> 01:00:45,570
+تبعتها و ال URL تبعتها تحطهم وينعلى ال forum عشان
+
+743
+01:00:45,570 --> 01:00:48,990
+اللي بيحط مثلا الشباب في الأول مجموعة الأولى اختار
+
+744
+01:00:48,990 --> 01:00:52,170
+ال data set خلاص انت مجبر تدور على data set تاني
+
+745
+01:00:52,170 --> 01:00:57,510
+وما تسألنيش يا دكتور انا اللي بيعمل post قبل هو
+
+746
+01:00:57,510 --> 01:01:00,510
+صاحب السبق في ال data set اللي موجودة ليش؟ لأني
+
+747
+01:01:00,510 --> 01:01:02,910
+بدي أحاول يكون في عندى أكبر قدر ممكن من ال
+
+748
+01:01:02,910 --> 01:01:08,770
+variation بين المجموعات انت و نصيبك اشتهدلأ لأ لأ
+
+749
+01:01:08,770 --> 01:01:11,110
+لأ هذه يا شباب النواقع اللي انا طرحتها على ال
+
+750
+01:01:11,110 --> 01:01:14,610
+slides قدامك هي عبارة عن بقعة samples يعني الجوجل
+
+751
+01:01:14,610 --> 01:01:18,250
+فيها data sets الفيسبوك بتوفرك data sets لتويتر
+
+752
+01:01:18,250 --> 01:01:21,770
+بتوفرك data sets لكن انا في المرحلة الحالية بقولك
+
+753
+01:01:21,770 --> 01:01:27,510
+المقلوب منك data set a structured data setإيش
+
+754
+01:01:27,510 --> 01:01:32,390
+هتعمل فيها بس جيبها افهم افهم عن إيش بتتكلم عدد ال
+
+755
+01:01:32,390 --> 01:01:35,170
+instances عدد ال attributes اللي فيها أنواع ال
+
+756
+01:01:35,170 --> 01:01:38,170
+attributes اللي فيها إيش هي عشان المحاضرة الجاية
+
+757
+01:01:38,170 --> 01:01:46,890
+فعليا إحنا هنبدأ نشتغل مع أول Python
+
+758
+01:01:46,890 --> 01:01:51,230
+أو RapidMiner واحد
+
+759
+01:01:51,230 --> 01:01:54,760
+اللي بدي يشتغل إيش بدي فيه جنته الأربعة؟الان احنا
+
+760
+01:01:54,760 --> 01:01:56,980
+من المحاضرة الجاية هنبدأ نتكلم عن ال data
+
+761
+01:01:56,980 --> 01:02:00,220
+preparation محاضراتنا التلاتة الماضيات او التنتين
+
+762
+01:02:00,220 --> 01:02:02,660
+الماضيات كانوا في ال data understanding في فهم
+
+763
+01:02:02,660 --> 01:02:07,000
+البيانات الان في تحضير البيانات لل mining تلزمك ال
+
+764
+01:02:07,000 --> 01:02:09,920
+data set عشان لما اقولك روح تدور على ال noise وقل
+
+765
+01:02:09,920 --> 01:02:13,240
+في عندك noise في ال data set ولا لأ طبعا الشباب
+
+766
+01:02:13,240 --> 01:02:17,580
+عشان برضه نكون منصفين الشغل الشغل بدي يكون جماعي
+
+767
+01:02:17,580 --> 01:02:21,420
+يعني ماترضاش انت ان واحد عندك في المجموع يكون
+
+768
+01:02:21,420 --> 01:02:25,250
+اتكالي معتمدي عليك لأنه مش هياخد نفس علامتكأو بين
+
+769
+01:02:25,250 --> 01:02:31,030
+بوسين حرام تنزل انت لعلامته برضه
+
+770
+01:02:31,030 --> 01:02:36,770
+بتشغله اللي انت بتشوفه مناسب غالبا ترضه
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..ac5900cda9d0df0fbd8c2527c44bbb7a1fc3e5bf
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_postprocess.srt
@@ -0,0 +1,2120 @@
+1
+00:00:01,850 --> 00:00:03,950
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:03,950 --> 00:00:09,330
+أهلا وسهلا بكم أخواني وأخواتي في لقاء أو في تسجيل
+
+3
+00:00:09,330 --> 00:00:13,170
+لكن هذه المرة شغل عملي بالبيثون ل data preparation
+
+4
+00:00:13,850 --> 00:00:16,490
+المثال اللى انا هشتغل عليه ان شاء الله تعالى هيغطي
+
+5
+00:00:16,490 --> 00:00:20,810
+كتير من الجوانب المهمة اللى ممكن تلزمكوا سواء خلال
+
+6
+00:00:20,810 --> 00:00:24,890
+ال course او لاحقا طبعا لأ اخفيكم انا هشتغل على ال
+
+7
+00:00:24,890 --> 00:00:28,810
+database ال iris طبعا ال database صغيرة نوعا ما
+
+8
+00:00:28,810 --> 00:00:33,230
+عملت عليها بعض ال modification او بين جثين استنعت
+
+9
+00:00:33,230 --> 00:00:38,110
+بعض المشاكل فيها يعني اضفت كمان attribute عملت
+
+10
+00:00:38,110 --> 00:00:40,890
+redundant rows اضفت
+
+11
+00:00:43,780 --> 00:00:48,120
+العمود ال raw id ال raw number اللي قدامنا شايفينه
+
+12
+00:00:48,120 --> 00:00:52,440
+احنا هان وعملت فيها بعض ال noise data دخلت value
+
+13
+00:00:52,440 --> 00:00:56,000
+كبيرة جدا يعني مثلا بدل ما هي تكون مثلا خمسة فاصلة
+
+14
+00:00:56,000 --> 00:00:59,400
+واحد زي القيمة اللي هيجي بظهرها دخلت واحدة واحد
+
+15
+00:00:59,400 --> 00:01:02,360
+وخمسين طبعا واضح انه هيكون الاتجاه الخطأ عشان
+
+16
+00:01:02,360 --> 00:01:06,220
+احدده هذه كلها قياسات دخلتها بالسالب دخلت قيمة او
+
+17
+00:01:06,220 --> 00:01:10,390
+تنتين بالسالب عشان انا اقدر اعملهم handlingخلّينا
+
+18
+00:01:10,390 --> 00:01:13,830
+نشوف مع بعض طبعا انا هشتغل على ال .. ال .. ال buy
+
+19
+00:01:13,830 --> 00:01:18,190
+charm الأصل والأصل اللي يكون فيه عندي انا افتح ملف
+
+20
+00:01:18,190 --> 00:01:23,270
+و اعمل load لل data set لكن عشان اطلع من جزئية ان
+
+21
+00:01:23,270 --> 00:01:26,550
+والله كل مرة بدي عيد نفس الشغل السابق إلى آخره
+
+22
+00:01:26,550 --> 00:01:30,370
+هشتغل معاكم ان اعمل خلال ال .. ال Jupiter notebook
+
+23
+00:01:30,370 --> 00:01:33,470
+وال Jupiter notebook هي عبارة عن نظام interpreter
+
+24
+00:01:33,470 --> 00:01:39,910
+مش نظامكمبايلر طبعا نعرف الفرق بين اتنين انه بال
+
+25
+00:01:39,910 --> 00:01:42,390
+interpreter انا بشتغل statement by statement و
+
+26
+00:01:42,390 --> 00:01:46,330
+بعمل run و بنتقل للي بعديها بينما بال ..
+
+27
+00:01:46,330 --> 00:01:50,210
+بالكمبايلر لأ انا بشغل دائما البرنامج من البداية
+
+28
+00:01:50,210 --> 00:01:53,990
+عشان هيك بتلاقي الكاجل ال collab معظم ال online
+
+29
+00:01:53,990 --> 00:01:58,310
+editors او اللي خلنا نقول online platforms اللي
+
+30
+00:01:58,310 --> 00:02:00,610
+موجودة لل data science او لل machine learning
+
+31
+00:02:00,610 --> 00:02:06,000
+بتشتغل عليها موضوع ال Jupiter notebookأو نظام ال
+
+32
+00:02:06,000 --> 00:02:09,420
+notebook خلّيني أقول بشكل سريع أشي اللي أنا سويته
+
+33
+00:02:09,420 --> 00:02:12,460
+طبعا كل هذه لا تخفى على أحد منكم أنه أنا عملت
+
+34
+00:02:12,460 --> 00:02:16,440
+import لل pandas و هي ال library المسؤولة عن قراءة
+
+35
+00:02:16,440 --> 00:02:20,760
+ال data framework و أنا من الآن ال data تبعتي
+
+36
+00:02:20,760 --> 00:02:24,320
+موجودة في iris file موجود على نفس المجلد اللي
+
+37
+00:02:24,320 --> 00:02:27,500
+موجود عليه الملف اللي موجود عندي هنا فبس أنا عملت
+
+38
+00:02:27,500 --> 00:02:30,840
+عشان أتأكد أن عملت القراءة تمت بشكل صحيح فروحت
+
+39
+00:02:30,840 --> 00:02:35,730
+عملت إيشdata.head طبعا في ميزة هنا جماعة الخير انا
+
+40
+00:02:35,730 --> 00:02:38,910
+مش بحاجة انه في ال notebook او في الجابتر notebook
+
+41
+00:02:38,910 --> 00:02:42,170
+اروح استخدم جملة print مجرد ان انا اروح على ال ..
+
+42
+00:02:42,170 --> 00:02:45,390
+مجرد اكتب اسم ال variable فبروح بنفذلي كتير من ال
+
+43
+00:02:45,390 --> 00:02:50,210
+task و هاي برضه ميزة اريح من موضوع ال printing او
+
+44
+00:02:50,210 --> 00:02:53,850
+الجزء .. الحاجات دي كتير في كتابة و انا بعمل print
+
+45
+00:02:53,850 --> 00:02:57,050
+او بطلب يعملي يطبعلي بعض ال values اللي موجودة
+
+46
+00:02:57,050 --> 00:02:59,850
+عندى خليني انا بدعم ال restart من البداية بس عشان
+
+47
+00:02:59,850 --> 00:03:00,350
+اتأكد
+
+48
+00:03:05,140 --> 00:03:08,620
+ممتاز الخطوة الأولى تمت تم اتقرأت ال data file وهي
+
+49
+00:03:08,620 --> 00:03:12,620
+بداني ال header file طبعا بمكانك تضع عدد ال header
+
+50
+00:03:12,620 --> 00:03:17,120
+اللي تريده تلاتة أو خمسة أو عشرة اللي تريدها من ال
+
+51
+00:03:17,120 --> 00:03:21,700
+values اللي موجودة عندهاطيب أول خطوة انا بدي
+
+52
+00:03:21,700 --> 00:03:25,180
+أسويها بدي أحاول أستقرق ال data اللي عندى بشكل عام
+
+53
+00:03:25,180 --> 00:03:28,180
+أو بدي أخد نظرة عن ال data اللي موجودة قولنا لازم
+
+54
+00:03:28,180 --> 00:03:31,640
+نفهم ال data بشكل كويس طبعا انا برجع بقول ان ال
+
+55
+00:03:31,640 --> 00:03:34,620
+iris كل الأعمد اللي فيها عبارة عن numerical فده
+
+56
+00:03:34,620 --> 00:03:40,240
+values باستثناء ال labelالـ values اللي موجودة
+
+57
+00:03:40,240 --> 00:03:44,680
+عندي هذه من a1 ل a5 هي عبارة عن قياسات لزهرة
+
+58
+00:03:44,680 --> 00:03:49,320
+السوسن طبعا أنا جامعة الخير العمود خمسة أنا هذا
+
+59
+00:03:49,320 --> 00:03:53,120
+أنا أنشأته انشاء بناء على شغل معين عشان أشوفها عند
+
+60
+00:03:53,120 --> 00:03:58,240
+ال correlation و نشتغل عليها تمام الان كل اللي انا
+
+61
+00:03:58,240 --> 00:04:03,100
+بدي أسويه هو import لل
+
+62
+00:04:03,100 --> 00:04:03,780
+matplot
+
+63
+00:04:14,870 --> 00:04:20,290
+library matplotlib.pyplot
+
+64
+00:04:20,290 --> 00:04:25,950
+وطبعا انا ممكن استدعي ال class هذا بشكل مباشر لكن
+
+65
+00:04:25,950 --> 00:04:29,750
+انا ممكن اروح واختصار ال class as blt زي ما حطينا
+
+66
+00:04:29,750 --> 00:04:34,140
+لل band اذا كنا بنستخدم ال bdهروح الان ال data
+
+67
+00:04:34,140 --> 00:04:39,360
+تبعتي انا اسمها data اذا شئت انا اقل ال load اللي
+
+68
+00:04:39,360 --> 00:04:44,360
+عندي هقوله d equal data عشان اظهر اكتب ال d فقط و
+
+69
+00:04:44,360 --> 00:04:50,240
+هروح اقوله ال d dot في عندي function اسمها hist و
+
+70
+00:04:50,240 --> 00:04:54,600
+المقصود فيها ال histogram و blt.show
+
+71
+00:04:57,690 --> 00:05:02,150
+مجرد استدعاية الـ Python library الاسمها
+
+72
+00:05:02,150 --> 00:05:05,430
+mathematical plotting library for python
+
+73
+00:05:09,300 --> 00:05:12,980
+بي بلوت و بدي اروح ارسم ال data هذه الجملة بس عشان
+
+74
+00:05:12,980 --> 00:05:15,140
+ماضلش اكتب كلمة data هحط حرف ال D و امشي على
+
+75
+00:05:15,140 --> 00:05:17,720
+السريع يعني عشان اريح حالي زي ما اقوله ده اللي
+
+76
+00:05:17,720 --> 00:05:21,600
+طبعا هنا مباشرة طبعا اللي اللي اللي اللي اللي اللي
+
+77
+00:05:21,600 --> 00:05:22,080
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+78
+00:05:22,080 --> 00:05:22,200
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+79
+00:05:22,200 --> 00:05:22,260
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+80
+00:05:22,260 --> 00:05:25,300
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+81
+00:05:25,300 --> 00:05:25,320
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+82
+00:05:25,320 --> 00:05:35,520
+اللي اللي
+
+83
+00:05:35,520 --> 00:05:38,590
+الليالان بقول ان تم رسمها، طبعا الرسمة دي وينها؟
+
+84
+00:05:38,590 --> 00:05:53,210
+لازم اشوفها من بقى جهانة على ال .. اه وينها؟
+
+85
+00:05:53,210 --> 00:05:59,410
+لازم
+
+86
+00:05:59,410 --> 00:06:00,370
+كنتي جهانة
+
+87
+00:06:03,600 --> 00:06:09,300
+هي بدى اعمل insert cell locally مع انه المفروض ال
+
+88
+00:06:09,300 --> 00:06:15,480
+synchronization بين التانين تكون تمام هيرن ال cell
+
+89
+00:06:15,480 --> 00:06:22,210
+هى ال libraryأو الناتج اللي طلع عندى طبعا هان بدين
+
+90
+00:06:22,210 --> 00:06:26,530
+الهستجرام توزيعت ال data ما بين a1, a2, a3, a4,
+
+91
+00:06:26,630 --> 00:06:31,530
+a5, a6 طبعا ال mo ده الصحيح طبعا لما قلتلكوا أنا
+
+92
+00:06:31,530 --> 00:06:35,050
+جارى العمل على تسجيل الفيديو وجهت مشكلة انه ماعرفش
+
+93
+00:06:35,050 --> 00:06:38,190
+ايش اتعطل عني في ال python واضطررت ان انزل من جديد
+
+94
+00:06:38,190 --> 00:06:42,310
+صار تظهر عندى ال mo اللي انا فعليا لحد اللحظة مش
+
+95
+00:06:42,310 --> 00:06:46,330
+قادر افهم اشياء ما علينا طبعا هو استثنى ال raw
+
+96
+00:06:46,330 --> 00:06:49,710
+number اللي موجود عندى هانالواحدة الخامسة
+
+97
+00:06:49,710 --> 00:06:52,850
+مابلزمنيش لأنه مافيش فيه distribution ايجا قاللي
+
+98
+00:06:52,850 --> 00:06:54,810
+والله في اي واحد معظم ال distribution في عندي
+
+99
+00:06:54,810 --> 00:06:57,550
+value كبيرة جدا واضح انه في عندي value كبيرة جدا و
+
+100
+00:06:57,550 --> 00:07:00,830
+الباقية ايش تكاد القيم ماتكونش مبينة بالنسبة لإلها
+
+101
+00:07:00,830 --> 00:07:05,570
+التوزيع ما بين العناصر اللي موجودة عندي واضح انه
+
+102
+00:07:05,570 --> 00:07:11,390
+ايه اربعة او ايه خمسة في بينهم relation ربما مامش
+
+103
+00:07:11,390 --> 00:07:15,350
+عارف خليني لكن بالمجمل هي بقولي انا ال histogram
+
+104
+00:07:15,350 --> 00:07:20,460
+داني الصورة عن ال data اللي موجودةخلّينا ننتقل
+
+105
+00:07:20,460 --> 00:07:24,840
+للخطوة التالية الان لو انا اتيت على سبيل المثال
+
+106
+00:07:24,840 --> 00:07:29,320
+كلنا متفقين ان العمود الأول هذا اللي هو ال raw
+
+107
+00:07:29,320 --> 00:07:32,540
+number useless وانا بدي اروح العمود هذا بدي اروح
+
+108
+00:07:32,540 --> 00:07:37,360
+احد فوق بدي اروح احد فوق بكل بساطة بروح و بقول دي
+
+109
+00:07:37,360 --> 00:07:43,020
+dot drop ال
+
+110
+00:07:43,020 --> 00:07:52,350
+drop هذه بدها مني اسم ال raw numberR number طبعا
+
+111
+00:07:52,350 --> 00:07:59,410
+ال axis equal one ال x axis طبعا اللي هي ال road
+
+112
+00:07:59,410 --> 00:08:03,690
+بتمثل zero و ال columns بتمثل one طبعا في عندي
+
+113
+00:08:03,690 --> 00:08:08,830
+command in place هذا مهم جدا بدأ أحطها true يعني
+
+114
+00:08:08,830 --> 00:08:12,990
+انت الآن التعديل بدون مكان مباشرة صحيح طبعا بعديها
+
+115
+00:08:12,990 --> 00:08:19,740
+ممكن انا اروح اقوله ال D dotهد و بس تلاتة بس لان
+
+116
+00:08:19,740 --> 00:08:23,860
+انا بدي اشوف العناصر اللي موجودة شو بدي أصير فيها
+
+117
+00:08:23,860 --> 00:08:27,920
+ممتاز تم حذفهاش اقل كل اللي سويته انا هان لان انا
+
+118
+00:08:27,920 --> 00:08:31,100
+روحي و قولتله d.drop اديته اسم ال attribute اللي
+
+119
+00:08:31,100 --> 00:08:37,150
+انا بدياهو من ثم انا روحت ايش قلتله الحدث هذا في
+
+120
+00:08:37,150 --> 00:08:43,110
+الإعبارة من مجموعة الأعمدة و ال in place تروح طبعا
+
+121
+00:08:43,110 --> 00:08:45,650
+هذا نفس الكلام اللي نفسه لان ليش جبتله ليش ال
+
+122
+00:08:45,650 --> 00:08:48,170
+access مهم جماعة الخير لأنه انا برضه نفس ال
+
+123
+00:08:48,170 --> 00:08:51,530
+function هاي من ال data framework اللي هي D اللي
+
+124
+00:08:51,530 --> 00:08:54,230
+هي ال band as a framework انا بستخدمها ال method
+
+125
+00:08:54,230 --> 00:08:56,910
+تبعتها ال drop برضه بستخدم الحدث الصفوف وبناء على
+
+126
+00:08:56,910 --> 00:09:00,110
+هيك انا لازم احدد ال access طبعا انا ممكن اروح انا
+
+127
+00:09:00,110 --> 00:09:04,940
+اكتب هنا قائمةبالـ Rows أو بالأعمدة اللي أنا بدي
+
+128
+00:09:04,940 --> 00:09:11,160
+إياها لو أنا بدي أحدث مجموعة من الأعمدة بدي أقول
+
+129
+00:09:11,160 --> 00:09:18,860
+A1 و A2 و A3 طبعا بدي أذكرهم ك text زي ما كنا ..
+
+130
+00:09:18,860 --> 00:09:22,790
+زي ما شوفنا بالمثال الموجود منها ممتازالنقطة اللي
+
+131
+00:09:22,790 --> 00:09:25,750
+بعدها، بدنا ننتقل الآن، معناته أنا هيني حذفت
+
+132
+00:09:25,750 --> 00:09:31,990
+العناصر اللي ما الهاش لازمة عندي خليني أبقى في
+
+133
+00:09:31,990 --> 00:09:35,170
+موضوع حد في الصحوف لما نيجي نتكلم أنا بدي أحدف صف
+
+134
+00:09:35,170 --> 00:09:39,510
+معين بناخد كمثال و بنجربطيب الان لو انا بدى ادور
+
+135
+00:09:39,510 --> 00:09:41,990
+على الـ Duplicate الان انا بدى امشي على الـ
+
+136
+00:09:41,990 --> 00:09:44,670
+Duplicate و اشوف واش فيه Duplicate في ال rows و
+
+137
+00:09:44,670 --> 00:09:49,350
+اروح احذفها زى ما قلتلكم انا ال data هذه اشتغلت
+
+138
+00:09:49,350 --> 00:09:54,650
+عليها شوية اصطناعت فيها بعض الأخطاء من أجل ان اخزن
+
+139
+00:09:54,650 --> 00:09:57,710
+البيانات اللى موجودة عندها اذا انا كنت بالان بدي
+
+140
+00:09:57,710 --> 00:10:03,850
+اشتغل على ال Duplicate معناته هروح و اقوله D.Drop
+
+141
+00:10:03,850 --> 00:10:06,290
+Duplicate Duplicate
+
+142
+00:10:12,090 --> 00:10:15,090
+طبعا مهم في موضوع الـ duplicates لما انا بده
+
+143
+00:10:15,090 --> 00:10:19,510
+احذفها انه انا افهم القيم اللي بديها تتكرر هل
+
+144
+00:10:19,510 --> 00:10:22,450
+التكرار قيمة معينة في عمود معين يعني على سبيل
+
+145
+00:10:22,450 --> 00:10:26,650
+المثال لو انا الان روحت كتبتله و قولتله انا بفد
+
+146
+00:10:26,650 --> 00:10:32,050
+التكرار فقط في عمود A5 معناته الاول تلات قيم هذول
+
+147
+00:10:32,050 --> 00:10:36,740
+اللي ظهرت قداميوكل ال values اللي موجودة point
+
+148
+00:10:36,740 --> 00:10:40,480
+تلاتة في خمسة بدها تنحدد و لا بدي اياهم في عمودين
+
+149
+00:10:40,480 --> 00:10:43,920
+اتنين و تلاتة اتنين و تلاتة اتنين و تلاتة و لا بدي
+
+150
+00:10:43,920 --> 00:10:48,140
+اياهم في اربع اعمدة او اربع اعمدة او ما شابه عشان
+
+151
+00:10:48,140 --> 00:10:50,500
+هيك دائما اول attribute اللي بتطلب مني في ال
+
+152
+00:10:50,500 --> 00:10:54,440
+duplicate اللي هي ال subset ال subset هان هي عبارة
+
+153
+00:10:54,440 --> 00:10:59,320
+عن مجموعة ال attributes اللي انا بدي اياها ايش ال
+
+154
+00:10:59,320 --> 00:11:04,040
+attributes اللي انا بدي اياهم كمان مرة هي a واحدهي
+
+155
+00:11:04,040 --> 00:11:07,760
+كانت انا قاعد بقوله وين ما فيه rows ال duplication
+
+156
+00:11:07,760 --> 00:11:14,290
+تبعتها او القيمة بتتكرر فيهالـ values تبعت A1
+
+157
+00:11:14,290 --> 00:11:18,790
+يعدهم as duplicate rows إذا أنا روح اتحطيت هنا
+
+158
+00:11:18,790 --> 00:11:24,770
+كمان مرة A2 معناته أنا قاعد بقوله وين فيه rows A1
+
+159
+00:11:24,770 --> 00:11:28,690
+و A2 متشابهات فهدولة duplicate rows بتمنى تكون
+
+160
+00:11:28,690 --> 00:11:32,370
+الصورة وصلت فA3 خلينا بس أنا أجربها على سبيل
+
+161
+00:11:32,370 --> 00:11:36,910
+المثال على A1
+
+162
+00:11:37,440 --> 00:11:44,840
+Okay اي واحد ما احنا عملت دي برضه كويس اي اي خمسة
+
+163
+00:11:44,840 --> 00:11:48,700
+طيب ال values اللي بعد هي كده ان انا بدي اروح
+
+164
+00:11:48,700 --> 00:11:52,720
+اقوله شو بدي يصير فيهم في موضوع ال keep لجيت فيه
+
+165
+00:11:52,720 --> 00:11:55,860
+duplicate شو بدي يصير لان في عندي تلت خيارات في
+
+166
+00:11:55,860 --> 00:11:59,240
+عند ال لا في عند ال false ماتحتفظش ولا بحاجة يعني
+
+167
+00:11:59,240 --> 00:12:04,970
+كل ال rows المكررة احذفهاهل هذا الكلام منطقي؟ يعني
+
+168
+00:12:04,970 --> 00:12:10,870
+مايبقى ولا رو في الـ Attribute A5 قيمته 0.310 على
+
+169
+00:12:10,870 --> 00:12:13,650
+سبيل المثال إذا انا حاطيت الـ False فبعن القيمة
+
+170
+00:12:13,650 --> 00:12:17,410
+التالية اللي بعد هي الـ First فبعن الـ False
+
+171
+00:12:17,410 --> 00:12:22,970
+بتتاخد False
+
+172
+00:12:22,970 --> 00:12:27,030
+فهيك مايخزنش ولا حاجة First
+
+173
+00:12:29,160 --> 00:12:33,020
+احتفظ في القيمة الأولى فقط أو القيمة التي تجدها أو
+
+174
+00:12:33,020 --> 00:12:36,400
+الـ last في الآخر أنا بدي قيمة واحدة من الـ
+
+175
+00:12:36,400 --> 00:12:41,560
+duplicate values اللي موجودة عندها وبعد ذلك in
+
+176
+00:12:41,560 --> 00:12:48,020
+place حيث ان ال value أو التأثير هتكون مباشرة على
+
+177
+00:12:48,020 --> 00:12:53,440
+القيمة اللي موجودة عندى equal true
+
+178
+00:12:59,570 --> 00:13:07,690
+Okay و هاي بدي أروح أقوله أنا head d
+
+179
+00:13:07,690 --> 00:13:12,730
+.head 10
+
+180
+00:13:12,730 --> 00:13:19,010
+run لاحظوا معايا الآن في ال attribute اللي موجود
+
+181
+00:13:19,010 --> 00:13:23,230
+عندي هان طبعا
+
+182
+00:13:23,230 --> 00:13:29,410
+لو أنا قلتله data.info
+
+183
+00:13:31,310 --> 00:13:41,470
+عشان اقارن بس بينهم و دي dot info run لاحظوا في ال
+
+184
+00:13:41,470 --> 00:13:45,050
+data ايش جالي طبعا في الاول
+
+185
+00:13:50,030 --> 00:13:53,270
+لأ ما هي نفس ال pointer في دريبالكو صارت نفس ال
+
+186
+00:13:53,270 --> 00:13:58,990
+pointer على نفس النقطة اللي موجودة عندنا فاحنا
+
+187
+00:13:58,990 --> 00:14:03,570
+فهمنا موضوع الحدث على الأقل هي pointer على نفس ال
+
+188
+00:14:03,570 --> 00:14:09,310
+pandas اللي موجودة عند key فمش قضية كتير بنعيد
+
+189
+00:14:09,310 --> 00:14:13,550
+الشغل من تاني على السريع في موضوع القراءةطيب فبدأ
+
+190
+00:14:13,550 --> 00:14:16,210
+ارجع في موضوع ال drop معناته انا التكرار بيكون على
+
+191
+00:14:16,210 --> 00:14:18,850
+مستوى ال raw بالكامل على مستوى ال raw بالكامل
+
+192
+00:14:18,850 --> 00:14:24,630
+معناته انا ممكن اش اروح اساوي control
+
+193
+00:14:24,630 --> 00:14:32,470
+X list اروح اقول له list equal اللي هي duplicate
+
+194
+00:14:32,470 --> 00:14:36,730
+rows a2
+
+195
+00:14:36,730 --> 00:14:40,910
+a3
+
+196
+00:14:47,610 --> 00:14:53,870
+أربعة خمسة خمسة
+
+197
+00:14:53,870 --> 00:14:58,130
+بالإضافة لل label يعني انا في عندي فعليا تكرار
+
+198
+00:14:58,130 --> 00:15:04,010
+بالكامل لهذه ال label وهيك انا صار في عندي list
+
+199
+00:15:04,010 --> 00:15:12,400
+خليني بس بدي ارجع اعيد ال runningللكل اي restart
+
+200
+00:15:12,400 --> 00:15:20,440
+restart run run طبعا هدولا كلهم ماتغيرش فيهم ولا
+
+201
+00:15:20,440 --> 00:15:24,140
+حاجة والان عملوه بنفذ واحدة ورا التانية هي الان
+
+202
+00:15:24,140 --> 00:15:32,040
+وصلت ال duplicate remove لل duplicate id.info run
+
+203
+00:15:34,700 --> 00:15:38,240
+مية و اتنين و خمسين rows في حين انه قبل شوية لما
+
+204
+00:15:38,240 --> 00:15:41,980
+كنا جربنا حذفنا بس على الأول طبعا هذا هو المنطق ان
+
+205
+00:15:41,980 --> 00:15:45,500
+انا الآن اذا لو اختلفت قيمة واحدة في ال raw فهذا
+
+206
+00:15:45,500 --> 00:15:49,460
+ال raw unduplicated وبالتالي بما انه انا قاعد بقرأ
+
+207
+00:15:49,460 --> 00:15:53,960
+بجيس او ب .. عندي معلومات او قياسية عن زهرة معينة
+
+208
+00:15:53,960 --> 00:15:57,400
+زهرة اللي هي زهرة السوسن معناته طبيعي يكون في عندي
+
+209
+00:15:57,400 --> 00:16:00,740
+قياسات متشابهة لكن اختلاف اي واحدة من القيام هدول
+
+210
+00:16:00,740 --> 00:16:04,500
+يعني ان انا في عندي different row تمامبمتازة،
+
+211
+00:16:04,500 --> 00:16:07,000
+معناته هي أننا فهمنا موضوع الـ duplicate تمام و
+
+212
+00:16:07,000 --> 00:16:10,520
+حذفنا الـ duplicate values ان شاء الله تعالى طيب،
+
+213
+00:16:10,520 --> 00:16:13,760
+الآن هل في عندي null؟ ايش ال null؟ و جديش؟ و اين
+
+214
+00:16:13,760 --> 00:16:16,560
+موجود؟ هذه ال information اللي انا حصلت عليها
+
+215
+00:16:16,560 --> 00:16:22,660
+عبارة عن general information جالي ال attribute هذا
+
+216
+00:16:22,660 --> 00:16:25,820
+طبعا في إشارات هيه بقول انه في عندي null value عدد
+
+217
+00:16:25,820 --> 00:16:32,960
+ال entries اللي موجودة عند 152 entry الآن 149 فيE1
+
+218
+00:16:32,960 --> 00:16:43,880
+E2 E3 152 E4 E5 151في ال label يعني هنا في عندي
+
+219
+00:16:43,880 --> 00:16:46,440
+تلاتة في كل attribute missing وفي عندي واحدة
+
+220
+00:16:46,440 --> 00:16:49,780
+missing هنا مظبوط كلامي هيك صحيح يعني انا في عندي
+
+221
+00:16:49,780 --> 00:16:53,400
+تلاتة missing هنا و واحدة missing هنا هذه اللي هان
+
+222
+00:16:53,400 --> 00:17:00,360
+انا ممكن اذهب و اذهب اعملها لل missing خليني بس
+
+223
+00:17:00,360 --> 00:17:07,220
+قبل هيك في عندي دي doc describe ال function هاي
+
+224
+00:17:07,220 --> 00:17:09,460
+describe نعم
+
+225
+00:17:12,280 --> 00:17:15,960
+معلومات كاملة عن الـ Attribute Statistical
+
+226
+00:17:15,960 --> 00:17:20,480
+Description المتوسط الحسابي الـ Standardization
+
+227
+00:17:20,480 --> 00:17:26,540
+الـ Minimum المتلقي أو الربع الأول أو الربع التاني
+
+228
+00:17:26,540 --> 00:17:31,100
+أو الربع التالتطبعاً بيقول لي فيه انك ال maximum
+
+229
+00:17:31,100 --> 00:17:35,580
+value هذي سبعة و خمسين سنطي سبعة و خمسين سنطي قياس
+
+230
+00:17:35,580 --> 00:17:39,500
+الزهرة هذا الكلام يكاد يكون مستحيل طبعاً في عندي
+
+231
+00:17:39,500 --> 00:17:43,480
+قيمة سالبة هان هكذا انا صرت انا جادر اشوف ايش ال
+
+232
+00:17:43,480 --> 00:17:47,000
+data او وين مشاكل ال data بالاضافة للمولود طبعا مش
+
+233
+00:17:47,000 --> 00:17:50,300
+مبين ال missing عندي هان الا غير من خلال ال count
+
+234
+00:17:50,300 --> 00:17:53,500
+الا من غير من خلال ال count ممتاز معناته انا صار
+
+235
+00:17:53,500 --> 00:17:54,200
+في عندي الآن
+
+236
+00:17:56,930 --> 00:18:00,190
+معرفة الـ Missing اللي موجودة طبعا ممكن انا اتحصل
+
+237
+00:18:00,190 --> 00:18:05,430
+للـ Missing لو كتبت ال .. او عملت ال code التالي
+
+238
+00:18:05,430 --> 00:18:08,490
+انا بدي اروح اقوله ال missing equal
+
+239
+00:18:13,760 --> 00:18:19,980
+PDBANDAS.DATAFRAME وانشغل
+
+240
+00:18:19,980 --> 00:18:24,820
+DataFrame جديد واسمي الـ attribute اللي فيه
+
+241
+00:18:24,820 --> 00:18:36,660
+missing و ال value تبعته الـ D.IS NULL و اقول له
+
+242
+00:18:36,660 --> 00:18:42,220
+sumهذه الـ function المفروض إنها بدها تمر على كل
+
+243
+00:18:42,220 --> 00:18:46,280
+ال data frame اللي موجود عند ال data وإن في عندى
+
+244
+00:18:46,280 --> 00:18:49,700
+null تروح تحاول تعدّليها تبعًا لمين ال attributes
+
+245
+00:18:49,700 --> 00:18:54,940
+اللي موجودة عندها okay عشان يجيب ليه ال value اللي
+
+246
+00:18:54,940 --> 00:18:58,900
+موجودة أنا بضرر هقول له هاتلي ال missing اللي عندك
+
+247
+00:18:58,900 --> 00:19:06,020
+هدول هيدم ثابت جملة الطباعة أ run وإن أنا أخطأت أه
+
+248
+00:19:06,020 --> 00:19:07,120
+في أقواص هنا
+
+249
+00:19:12,290 --> 00:19:20,350
+هي راح جابلي ال a1, a2, a3, a4, a5 و ال label هدوء
+
+250
+00:19:20,350 --> 00:19:23,530
+طبعا قاللي ان هذه عدد ال missing اللي موجود عندك
+
+251
+00:19:23,530 --> 00:19:27,970
+موجودة في a1, a3, a2 الاخرين طبعا ليش انا اعمل
+
+252
+00:19:27,970 --> 00:19:30,570
+تحيك يا جماعة الخير؟ طبعا هي البيانة اللي احصلها
+
+253
+00:19:30,570 --> 00:19:34,200
+من هنالكن برضه هى في طريقة تانية ممكن احصر ال
+
+254
+00:19:34,200 --> 00:19:37,440
+missing بشكل واضح مع كل attribute طبعا لو انت
+
+255
+00:19:37,440 --> 00:19:40,700
+سألتني ال missing اللي هان شو ممكن اسول فيه ممكن
+
+256
+00:19:40,700 --> 00:19:43,980
+اعبيه بال mean او اعبيه بال median مش فارقة كتير
+
+257
+00:19:43,980 --> 00:19:48,060
+معايا ممكن اعمله drop بس ال label اللي هان حتما
+
+258
+00:19:48,060 --> 00:19:51,700
+لازم اعمله drop لان هذا مابينفعى يظل ليش لان انا
+
+259
+00:19:51,700 --> 00:19:54,780
+عند قياسات ومش معروف نوع الزهرة فانا لازم اعمله
+
+260
+00:19:54,780 --> 00:19:58,620
+drop طيب بما انه صارنا نتكلم على ال dropخلّيني
+
+261
+00:19:58,620 --> 00:20:04,300
+أروح نحذف ال .. ال attribute اللي فيها ال label
+
+262
+00:20:04,300 --> 00:20:14,300
+أولا وهي اللي بدي أحطها هنا comment drop rose with
+
+263
+00:20:14,300 --> 00:20:20,340
+null value in sir
+
+264
+00:20:22,730 --> 00:20:28,730
+certain attribute اللي هسويه الآن هروح أنا اقول
+
+265
+00:20:28,730 --> 00:20:36,330
+اللي هو data equal data ال data framework اللي
+
+266
+00:20:36,330 --> 00:20:51,030
+موجود عندي ال data او ال data.label dot
+
+267
+00:20:53,220 --> 00:20:58,060
+not an A هكذا
+
+268
+00:20:58,060 --> 00:21:05,080
+أنا قاعد بقى أقوله نفّذ لي إياها وهذه الجملة تماما
+
+269
+00:21:05,080 --> 00:21:09,620
+تكافئ جملة تانية هكتبها الآن ممكن أنا أروح أقوله
+
+270
+00:21:09,620 --> 00:21:16,680
+data equal
+
+271
+00:21:16,680 --> 00:21:23,530
+data framework اللي موجود عندىبداخل الجوز بيدي
+
+272
+00:21:23,530 --> 00:21:27,730
+البندز.not
+
+273
+00:21:29,960 --> 00:21:36,000
+نال و الـ not null هاي بدي أزودها بال data باسم ال
+
+274
+00:21:36,000 --> 00:21:41,260
+attribute اللي موجود عندنا اللي هي مين ال build
+
+275
+00:21:41,260 --> 00:21:46,300
+سواء نفذت الجملة اللي فوق أو نفذت الجملة اللي تحت
+
+276
+00:21:46,300 --> 00:21:52,160
+ال two two هيدوني نفس النتيجة و هي انه هيعمل drop
+
+277
+00:21:52,160 --> 00:21:57,270
+ل ال attribute الليللـ Raw اللي فيه ال label يبقى
+
+278
+00:21:57,270 --> 00:22:01,470
+له missing هيرن عشان نتأكد بدي أعيد ال code تبع ال
+
+279
+00:22:01,470 --> 00:22:09,210
+missing هذا الآن ها وهيرن لاحظوا أنه مافيش عندي
+
+280
+00:22:09,210 --> 00:22:12,250
+missing الآن في ال label طبعا سواء نفذنا الجملة
+
+281
+00:22:12,250 --> 00:22:15,590
+الأولى جماعة الخير أو الجملة التانية نفس الكلام
+
+282
+00:22:15,590 --> 00:22:19,370
+لكن مع اختلاف طبعا هنبعتمادي على ال data أنا جا
+
+283
+00:22:19,370 --> 00:22:24,710
+عنبه اللي بقوله خلص ال data دي بتساوت Dwhere ال
+
+284
+00:22:24,710 --> 00:22:30,670
+label notاللي هي ال values تبعته exist أو not null
+
+285
+00:22:30,670 --> 00:22:34,030
+تمام هي كانت انا عملت drop طيب بما ان وصلنا نتكلم
+
+286
+00:22:34,030 --> 00:22:37,250
+عن handling لل missing وهي اول واحدة عملناها هان
+
+287
+00:22:37,250 --> 00:22:41,750
+خليني اروح بعد هي كده ايش نساوي اروح نعمل ال fill
+
+288
+00:22:41,750 --> 00:22:47,890
+بالاعتمادنا على ال a2 و a3 هبتروح عملهم fill بال
+
+289
+00:22:47,890 --> 00:22:53,730
+mean طبعا ليش مديش اعبي a1 بال mean عندي 57
+
+290
+00:22:59,560 --> 00:23:05,720
+مقارنة بين الـ A1 و A3 خمسة و خمسة كبيرة المين فلو
+
+291
+00:23:05,720 --> 00:23:08,960
+انا بدى اخزن ال median بيمشي حالها القيمة الوصلة و
+
+292
+00:23:08,960 --> 00:23:11,720
+قولنا ال median فيها ميزة ان لما بيعتمدنا عليها
+
+293
+00:23:11,720 --> 00:23:18,020
+ممكن تضيع تأثير ال value الكبيرة الموجودة و حد
+
+294
+00:23:18,020 --> 00:23:22,400
+هنرجع كمان مرة بنعالج ال noise خلينا فقط مع المين
+
+295
+00:23:23,090 --> 00:23:35,030
+هروح أبدأ بـ data of a واحد بدها تساوي data of a
+
+296
+00:23:35,030 --> 00:23:43,870
+واحد dot فلان a اللي هي not available بإيش بدي
+
+297
+00:23:43,870 --> 00:23:49,930
+أعملها في ال data of a واحد
+
+298
+00:23:55,660 --> 00:24:04,060
+.media كمان هذه الأولى هنسخها
+
+299
+00:24:04,060 --> 00:24:17,100
+اتنين
+
+300
+00:24:17,100 --> 00:24:21,360
+اتنين
+
+301
+00:24:23,150 --> 00:24:26,010
+طبعا يا جماعة الخير أنا بقى أشتغل و لا أهمني أين
+
+302
+00:24:26,010 --> 00:24:29,850
+الخطأ أو ال missing اللي موجودة إذا أنا بدي ال
+
+303
+00:24:29,850 --> 00:24:33,250
+missing ممكن في عندي conditions هنشوفها كمان شوية
+
+304
+00:24:33,250 --> 00:24:35,050
+زي ما لما بتدور على ال maximum value اللي هي
+
+305
+00:24:35,050 --> 00:24:39,390
+السبعة و خمسين ممكن أنا أروح أطبق عليها بشكل كويس
+
+306
+00:24:39,390 --> 00:24:46,650
+أنسخ هاي تلاتة
+
+307
+00:24:50,400 --> 00:24:54,340
+طبعا انا عملت هدولة بالمين و هد بالميديان و وراهم
+
+308
+00:24:54,340 --> 00:25:00,540
+مباشرة بدي اقول له هاتلي ايش حسبلي ال missing
+
+309
+00:25:00,540 --> 00:25:05,600
+حطيتهم في نفس ال cell عشان مايكونش عندي مشكلة و ان
+
+310
+00:25:05,600 --> 00:25:07,620
+شاء الله اه ليش هيك
+
+311
+00:25:16,070 --> 00:25:21,470
+مش خطأ و دليل انه ماضلش في عندي values مفقودة
+
+312
+00:25:21,470 --> 00:25:29,430
+بالموجود طب لو انا راح قلتله d.describe
+
+313
+00:25:35,930 --> 00:25:40,790
+أوكي كله صاروا 151 مصبوط هي كان مابيش الخياشة ده a
+
+314
+00:25:40,790 --> 00:25:45,650
+value is trying to be a set to a copy of a slice
+
+315
+00:25:45,650 --> 00:25:51,030
+from that framework هي أشبه بال warning نعم هدا هي
+
+316
+00:25:51,030 --> 00:25:57,250
+a setting with copy warningهو بيحذرني انه بيصير في
+
+317
+00:25:57,250 --> 00:26:03,110
+عندى تعديل على ال data بناء على ال data موجودة هو
+
+318
+00:26:03,110 --> 00:26:07,210
+عمال بيقول استخدم value أو بعول بيقول استخدم value
+
+319
+00:26:07,210 --> 00:26:11,030
+بدل مش قضيتنا كتير بس في الآخر انا هى ال value
+
+320
+00:26:11,030 --> 00:26:16,630
+تبعت ان اعمل لهاومورها المفروض الآن مافيش عندي
+
+321
+00:26:16,630 --> 00:26:21,910
+missing مطلقا طيب ننتقل بعد هيكاد للجزئية ان والله
+
+322
+00:26:21,910 --> 00:26:26,690
+شو وضع لل noise data وين ال noise data تبعتي طبعا
+
+323
+00:26:26,690 --> 00:26:29,430
+انا ممكن استدل على noise data اولا بما انه انا
+
+324
+00:26:29,430 --> 00:26:32,990
+بتكلم على measurement معناته هذه مش سالب تلاتة هذه
+
+325
+00:26:32,990 --> 00:26:36,960
+تلاتةوبما أنه انا بتكلم على ميجارمنت لوردة برضه مش
+
+326
+00:26:36,960 --> 00:26:40,320
+منطق يكون في عندي ال maximum value هي 57 عشان هي
+
+327
+00:26:40,320 --> 00:26:44,540
+دائما دراسة مستفيدة لل data أو ال contents اللي
+
+328
+00:26:44,540 --> 00:26:50,060
+موجودة عندي في كل ال data set طيب إيش الحل؟كيف
+
+329
+00:26:50,060 --> 00:26:53,340
+بدنا نشوف طبعا هذه إشارات عندي طبعا في عندي طريقة
+
+330
+00:26:53,340 --> 00:27:00,120
+تانية كمان ممكن أنا أروح أشتغل عليها لو أنا قلت
+
+331
+00:27:00,120 --> 00:27:03,200
+هذه ال attributes equal اللي هي ال list تبعتنا
+
+332
+00:27:03,200 --> 00:27:08,580
+اللي فوق خليني بس أنسخها بدل ما إيش أكتب من تاني
+
+333
+00:27:08,580 --> 00:27:11,760
+okay
+
+334
+00:27:15,030 --> 00:27:17,410
+هو عاد تظهر وضالة في ال list يعني اوى المشكلة في
+
+335
+00:27:17,410 --> 00:27:21,930
+الموضوع لأ بدى أعدل عليها ال label أنا مش بحاجة
+
+336
+00:27:21,930 --> 00:27:27,030
+ألاقله okay هذه مجموعة ال attributes اللى موجودة
+
+337
+00:27:27,030 --> 00:27:31,790
+عندى فانا بدى أروح أعمل .. بدى أرسم figure هي plot
+
+338
+00:27:31,790 --> 00:27:41,070
+blt.figure حجم ال figure قديش هي big size
+
+339
+00:27:44,660 --> 00:27:52,600
+مثلًا دعوني اختار اشرين عشرة تمام الفيجور هذا
+
+340
+00:27:52,600 --> 00:27:59,040
+يحتاج ال data دي of attributes اللي هم الخمسة
+
+341
+00:27:59,040 --> 00:28:02,840
+attributes اللي موجودة عندىطبعا ال label اللي احنا
+
+342
+00:28:02,840 --> 00:28:09,200
+بدناه هي nominal لانها مرتسمش تمام او بدي اروح dot
+
+343
+00:28:09,200 --> 00:28:12,940
+attributes
+
+344
+00:28:12,940 --> 00:28:20,700
+dot box plot
+
+345
+00:28:20,700 --> 00:28:24,500
+ال box plot يا جماعة الخير هذه عبارة عشان تحدد ال
+
+346
+00:28:24,500 --> 00:28:30,870
+outlier اللي موجودعندي ممكن اضع للرسمة title blt
+
+347
+00:28:30,870 --> 00:28:34,290
+.title هذا الكلام ممكن يلزمني في شرح التسجيل
+
+348
+00:28:34,290 --> 00:28:38,070
+الجديد اللي هو ايش اللي له علاقة بال visualisation
+
+349
+00:28:38,070 --> 00:28:47,650
+iris attributes وفي
+
+350
+00:28:47,650 --> 00:28:54,350
+الآخر بدي اروح اقول له show للرسم اللي موجود عندي
+
+351
+00:28:54,350 --> 00:29:02,760
+و runأها تمام لاحظوا معايا الآن هذه الرسمة جاب لي
+
+352
+00:29:02,760 --> 00:29:07,280
+ال data طبعا واضح بقول ال data ال range تبعي
+
+353
+00:29:07,280 --> 00:29:10,540
+المسموح فيه ال outlier المسموح فيه اللي هو داخل
+
+354
+00:29:10,540 --> 00:29:12,980
+المربعات السوداء طبعا اللي دول من الخطوط السوداء
+
+355
+00:29:12,980 --> 00:29:15,240
+طبعا إحنا لما نرس ال outlier لاحظ أن ان شاء الله
+
+356
+00:29:15,240 --> 00:29:19,580
+تعالى هنفهم الكلام بشكل كويس بشكل أحسن لكن واضح أن
+
+357
+00:29:19,580 --> 00:29:23,600
+هذه outlier وهذه outlier لأنهم بعاد تماما هذه جاي
+
+358
+00:29:23,600 --> 00:29:26,400
+مع ال fit خليني طبعا لو أنا بدى أغير القيمتين هذول
+
+359
+00:29:26,610 --> 00:29:29,450
+القيمتين هدول احنا شوفناهم عاملنا وهي هذه سالب
+
+360
+00:29:29,450 --> 00:29:35,110
+تلاتة وهذه سبعة وخمسين سبعة وخمسين تمام طيب بدنا
+
+361
+00:29:35,110 --> 00:29:37,970
+الان نشوف كيف بدي اتعامل مع ال noise data اللي
+
+362
+00:29:37,970 --> 00:29:42,410
+موجودة مع ال noise data بدنا ننتقل و نكتب code
+
+363
+00:29:42,410 --> 00:29:44,510
+نشوف كيف بدي اتعامل أو بدي اتخلص من ال code مع ال
+
+364
+00:29:44,510 --> 00:29:46,430
+noise data اللي موجودة
+
+365
+00:29:50,740 --> 00:29:54,560
+طيب أول حاجة انا بدي أعرف الـ 57 هذه اللي في الـ
+
+366
+00:29:54,560 --> 00:29:57,140
+attribute الأول جاية في أي يارو عشان أحد فوق أو
+
+367
+00:29:57,140 --> 00:30:00,060
+أروح أعدلها أو ما شابه أنا okay بعرف في العمود
+
+368
+00:30:00,060 --> 00:30:06,160
+الأول لكن في أي يارو ما بعرف تمام determine the
+
+369
+00:30:06,160 --> 00:30:08,620
+noise value
+
+370
+00:30:12,090 --> 00:30:17,050
+location أو بين قصين الـ Raw الان عشان احدد ال Raw
+
+371
+00:30:17,050 --> 00:30:21,310
+اللى موجود او اللى فيه ال data طبعا انا عندى ال
+
+372
+00:30:21,310 --> 00:30:24,190
+data و انا بعرف انه موجود في ال attribute الأول
+
+373
+00:30:24,190 --> 00:30:29,950
+فانا بروح بقوله اديني ال Raw وين ان ال attribute
+
+374
+00:30:29,950 --> 00:30:36,610
+عفوا a1 equal
+
+375
+00:30:36,610 --> 00:30:42,930
+57 ايش اللى انا سويته هناهنا روحت و قلت له انا بدي
+
+376
+00:30:42,930 --> 00:30:51,890
+ال raw ال raw اللي فيه a1 equal 57 a1 لاحظوا انا
+
+377
+00:30:51,890 --> 00:30:54,510
+باعتمادي على ال data طبعا هو لو كان فيه اكتر من
+
+378
+00:30:54,510 --> 00:30:58,450
+واحد شو حصير هيديني ال rows اللي موجودة عندهم فراح
+
+379
+00:30:58,450 --> 00:31:02,490
+قال لي ال raw 113 هي ال raw 113 طبعا هنقول لكم يا
+
+380
+00:31:02,490 --> 00:31:07,590
+جماعة الخيرة معالجة ال noise dataغالبا manual طبعا
+
+381
+00:31:07,590 --> 00:31:11,430
+ال data preparation معظمها manual تمام وبالتحديد
+
+382
+00:31:11,430 --> 00:31:14,930
+ال noise ذاته انا حددتها الآن معناته لو كان في عند
+
+383
+00:31:14,930 --> 00:31:18,050
+أكتر من روح أكتر من روح هتكون موجودة عندى يعني لو
+
+384
+00:31:18,050 --> 00:31:21,950
+على سبيل المثال على سبيل المثال بدي انا اروح اكتب
+
+385
+00:31:21,950 --> 00:31:27,950
+code مشابه لل code هذا بس من باب العلم
+
+386
+00:31:27,950 --> 00:31:37,550
+يعني اروح اقوله A5 بدأ تساوي تلاتة مثلاوHierarchy
+
+387
+00:31:38,640 --> 00:31:41,420
+لاحظوا الداني القائمة وبالتالي انا بدي اعمل
+
+388
+00:31:41,420 --> 00:31:45,540
+handling لكل واحد من هدول بشكل مستقل لما يكونوا
+
+389
+00:31:45,540 --> 00:31:47,920
+لكن هدول انا مابيهمنيش انا اللي بيهمني هال 113
+
+390
+00:31:47,920 --> 00:31:52,040
+تمام طب مع ال 113 هذا شو انا بدي اروح اساوي الان
+
+391
+00:31:52,040 --> 00:31:54,760
+بدي اعدل ال value الان هذا ال value مكتوب يا جماعة
+
+392
+00:31:54,760 --> 00:32:00,600
+الخير 57 57 القياسات اللي موجودة عندي للزحرة هي في
+
+393
+00:32:00,600 --> 00:32:06,260
+نفس ال attribute 5.6 6.5 5.7 5.6 5.7 5.6 5.7 5.7 5
+
+394
+00:32:06,260 --> 00:32:08,580
+.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7
+
+395
+00:32:08,580 --> 00:32:11,250
+5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7بدها تدخل خطأ 57
+
+396
+00:32:11,250 --> 00:32:17,830
+بينما هي لازم تكون 5.7 وانا لأ اخفيكم فعليا هي
+
+397
+00:32:17,830 --> 00:32:20,990
+كانت ال value هيك لكن انا اتعمدت ان اعملها هيك
+
+398
+00:32:20,990 --> 00:32:24,690
+عشان يصير في عندي noise data وانا اشتغل عليها طيب
+
+399
+00:32:24,690 --> 00:32:27,070
+ايش الحل الآن انا صرت بعرف هي موجودة في اي
+
+400
+00:32:27,070 --> 00:32:31,470
+attribute وموجودة في اي row بقدر انا اروح اعدل ال
+
+401
+00:32:31,470 --> 00:32:35,370
+value فبروح انا بقول D.ilocationعن طريق الـ index
+
+402
+00:32:35,370 --> 00:32:38,010
+location عندما أتكلم عن ال index location يحتاجون
+
+403
+00:32:38,010 --> 00:32:41,430
+مني شغلين يحتاجون مني ال raw ويحتاجون مني ال
+
+404
+00:32:41,430 --> 00:32:46,550
+attribute ال attribute رقم واحد يعني صفر تمام ال
+
+405
+00:32:46,550 --> 00:32:51,690
+attribute رقم واحد يعني صفر تساوي خمسة point سبعة
+
+406
+00:32:51,690 --> 00:32:53,430
+تمام
+
+407
+00:32:59,050 --> 00:33:05,290
+تغيرت القيمة اللى موجودة عندى هنا للـ 5.7 تمام يا
+
+408
+00:33:05,290 --> 00:33:07,770
+شباب مافيش مشكلة ان شاء الله بس عشان اعيد الرسمة
+
+409
+00:33:07,770 --> 00:33:11,250
+مرة واحدة ونفس الكلام هنا انا الان بدى اشوف وين
+
+410
+00:33:11,250 --> 00:33:14,850
+السالب تلاتة السالب تلاتة كانت في العمود التالي
+
+411
+00:33:14,850 --> 00:33:20,930
+مصبوط انا هروح اقوله اتنينطبعا انا بس بدى اكتبها
+
+412
+00:33:20,930 --> 00:33:24,430
+بصيغة تانية اقل من صفر عشان اقولكوا ان انا ممكن
+
+413
+00:33:24,430 --> 00:33:28,650
+اكتب اي condition بديها وهي run فجالة هي عندك سالب
+
+414
+00:33:28,650 --> 00:33:32,130
+تلاتة أو واحدة فقط في الرومية واربعة فنفس الكلام
+
+415
+00:33:32,130 --> 00:33:35,590
+هروح هنا هقوله d.ilocation
+
+416
+00:33:37,240 --> 00:33:41,900
+I location 104 الـ role اللي موجود عندي و ال
+
+417
+00:33:41,900 --> 00:33:45,820
+attribute التاني يعني ال index رقم واحد تبعته
+
+418
+00:33:45,820 --> 00:33:50,300
+equal تلاتة سالب تلاتة و القياسات كلها لو طلعت خط
+
+419
+00:33:50,300 --> 00:33:54,160
+نظرة سريعة هنا كل القياسات حوالين بعضها معناته هي
+
+420
+00:33:54,160 --> 00:33:59,820
+تلاتة والسالب كانت خطأ موجود عندي وهي run عشان
+
+421
+00:33:59,820 --> 00:34:03,040
+اتأكد ان الأمور تمام بدّيش اروح بده اروح اعيد
+
+422
+00:34:04,290 --> 00:34:09,010
+الرسمة اللى موجودة عندى هان و اشوف كيف وضع ال data
+
+423
+00:34:09,010 --> 00:34:13,510
+اللى ظهرت معايا او كيف اتغيرت الرسمة اها اختلفت
+
+424
+00:34:13,510 --> 00:34:18,270
+الرسمة تماما الان و بقوللي انه في ايه اتنين عندى
+
+425
+00:34:18,270 --> 00:34:22,990
+بعض ال outliers لكنهم هنقول مش extreme outliers هم
+
+426
+00:34:22,990 --> 00:34:28,810
+جراب جدا بينما دي شفتوا كيف اختلفت الرسمتينمع الـ
+
+427
+00:34:28,810 --> 00:34:31,110
+values اللي موجودة هنا و ال values اللي موجودة هنا
+
+428
+00:34:31,110 --> 00:34:34,110
+صارت الآن صار في عندي range واضح لل data اللي
+
+429
+00:34:34,110 --> 00:34:39,470
+موجودة عندنا تمام okay الان انا بدي ايش خلصت من
+
+430
+00:34:39,470 --> 00:34:42,190
+جزئية ال data و طبعا ممكن لو انا بدي هدول كمان
+
+431
+00:34:42,190 --> 00:34:45,410
+احلهم فانا بروح بحاول بعمل estimation لل values
+
+432
+00:34:45,410 --> 00:34:49,430
+واضح ان ال values هذي الاكبر من اربعة و اللي اقل
+
+433
+00:34:49,430 --> 00:34:53,090
+من اتنين و نص في عندي value اقل من اتنين و نص و
+
+434
+00:34:53,090 --> 00:34:55,730
+هدول اربعة اقل من اربعة يعني ممكن انا اروح اسويهم
+
+435
+00:34:55,730 --> 00:35:05,410
+كتالياروح اجي هاخد ال raw هان Ctrl C هاروح اقوله
+
+436
+00:35:05,410 --> 00:35:14,510
+اقل من اتنين و نص و كمان واحدة اكبر من اربع او
+
+437
+00:35:14,510 --> 00:35:20,410
+بلاش خلينا ناخد الاكبر من اربع اكبرمن أربعة وهي
+
+438
+00:35:20,410 --> 00:35:24,070
+run اللي فيه عندى أكبر من أربعة اللي هي اربعة
+
+439
+00:35:24,070 --> 00:35:26,690
+وأربعة اربعة point واحد اربعة point اتنين هدول ال
+
+440
+00:35:26,690 --> 00:35:29,430
+rows اللي موجودين ممكن انا اعملهم handling ممكن
+
+441
+00:35:29,430 --> 00:35:31,790
+اروح اعملهم drop اروح اتأكد من ال values اللي
+
+442
+00:35:31,790 --> 00:35:36,190
+موجودة عندى طبعا كل واحدة بدها تمشغل بشكل مستقل
+
+443
+00:35:36,190 --> 00:35:40,230
+بشكل مستقل طيب انا مابديش اشتغل عليهم لكن هي
+
+444
+00:35:40,230 --> 00:35:43,450
+الفكرة واحدة ان شاء الله طيب ضال اخر شغلة عندى او
+
+445
+00:35:43,450 --> 00:35:46,350
+شغلة قبل اخيرة لما انا بدى اشتغل على موضوع ال
+
+446
+00:35:46,350 --> 00:35:49,100
+correlation انا ال data موجودة عندىوالـ attributes
+
+447
+00:35:49,100 --> 00:35:52,200
+اللى عندى كلها numeric معناته انا بدى اطبق ال
+
+448
+00:35:52,200 --> 00:35:57,120
+correlation فى عندى method اسمها dot correlation
+
+449
+00:35:57,120 --> 00:36:00,660
+شوفى
+
+450
+00:36:00,660 --> 00:36:05,440
+مسح ال command run راح حسب ال person ال
+
+451
+00:36:05,440 --> 00:36:09,120
+correlation وقالي والله هى ال attributes اللى عندك
+
+452
+00:36:10,330 --> 00:36:15,530
+لكن واضح ان في عندى على طبعا القطر جماعة الخير
+
+453
+00:36:15,530 --> 00:36:19,330
+المفروض كله يكون ايش واحد لأن ال attribute مع نفسه
+
+454
+00:36:19,330 --> 00:36:23,850
+واحد ال attribute الأول والتاني مافيش dependency
+
+455
+00:36:23,850 --> 00:36:29,550
+مطلقا الأول والتالت فوق الخمس فوق التمانين الأول
+
+456
+00:36:29,550 --> 00:36:33,530
+والرابع فوق التمانين الأول والخامس فوق التمانين
+
+457
+00:36:33,530 --> 00:36:43,250
+لكن الرابعالثالث والخامس 95% التالت والرابع 95%
+
+458
+00:36:43,250 --> 00:36:49,510
+الرابع والخامس 99% طيب الان بس انا بدي احذف واحد
+
+459
+00:36:49,510 --> 00:36:52,850
+من ال correlation اللي هو الخامس هذا طب انا بدي
+
+460
+00:36:52,850 --> 00:36:54,750
+اقول ان والله ال attributes اللي عندى ال
+
+461
+00:36:54,750 --> 00:36:58,530
+correlation تبعته فوق فوق ال 97% هي اللي بدي
+
+462
+00:36:58,530 --> 00:37:03,190
+احذفها انتوا بالمثال كان عندكوا فوق ال 80% الان
+
+463
+00:37:03,190 --> 00:37:08,980
+اجيب في الواجبالان يا جماعة الخير لهذا الكلام ليش؟
+
+464
+00:37:08,980 --> 00:37:14,000
+لأن انا فعليا فعليا ال attribute الخامس هو عبارة
+
+465
+00:37:14,000 --> 00:37:17,840
+كان عن واحد و نص بحاصل ضرب ال value اللى موجودة
+
+466
+00:37:17,840 --> 00:37:21,580
+تعالى احسبها انت هيك واحد و نص في
+
+467
+00:37:24,940 --> 00:37:30,300
+1.5 4 6 1.5 هنتلقى طبعا صار في بعض التغييرات على
+
+468
+00:37:30,300 --> 00:37:35,560
+ال values 1 2 1.5 الفكرة انه انا طبعا عملت
+
+469
+00:37:35,560 --> 00:37:37,580
+roundation لل values اللي موجود عشان يصير فيه
+
+470
+00:37:37,580 --> 00:37:40,860
+اختلاف ماتصيرش يعني مية في المية فجاله هو بس واضح
+
+471
+00:37:40,860 --> 00:37:44,020
+ان ال value تسعة تلت تسعات يعني وكانها واحد طب ايش
+
+472
+00:37:44,020 --> 00:37:46,760
+الحال اوكي ال attribute هذا انا بده احدفه كيف بده
+
+473
+00:37:46,760 --> 00:37:49,500
+اروح احدف ال attribute كيف بده احدف ال attribute
+
+474
+00:37:49,500 --> 00:37:50,180
+يا جماعة الخير
+
+475
+00:37:54,700 --> 00:38:00,440
+قلنا فيه نقطة رقتين اللي حد في ال attribute بس
+
+476
+00:38:00,440 --> 00:38:07,800
+هذا مع ال null أول حدفنا ال attribute الأول drop
+
+477
+00:38:07,800 --> 00:38:18,700
+او ال function اسمها drop drop
+
+478
+00:38:18,700 --> 00:38:22,160
+a5 replace
+
+479
+00:38:24,110 --> 00:38:30,040
+وارح أقول له أحسب الـ correlationمرة تانية هى run
+
+480
+00:38:30,040 --> 00:38:34,700
+ممتاز هى جالي ال data طار ال attribute و ال
+
+481
+00:38:34,700 --> 00:38:38,340
+correlation طبعا هذه من الأصل انها ماتتغيرش لكن
+
+482
+00:38:38,340 --> 00:38:43,660
+الحسبة بتظل نوعا ما فيها خلفات بالنسبة للكل طيب
+
+483
+00:38:43,660 --> 00:38:46,500
+خلصنا الان في موضوع ال correlation شوفنا موضوع ال
+
+484
+00:38:46,500 --> 00:38:49,660
+data تظل اخر جزئية كنت انا بدي اعرفها منكم اللى هي
+
+485
+00:38:49,660 --> 00:38:55,360
+جزئية تقسيم ال data ل two different sets و كتبتهم
+
+486
+00:38:55,360 --> 00:39:01,630
+علىالفايل اللي موجود هنا طيب الآن عشان انا اجزم ال
+
+487
+00:39:01,630 --> 00:39:09,750
+data from escalare.model
+
+488
+00:39:09,750 --> 00:39:12,910
+underscore selection
+
+489
+00:39:26,800 --> 00:39:32,640
+هذا الكلس ينفذ استراتيفايد سامبلينج على ال data
+
+490
+00:39:32,640 --> 00:39:37,290
+الموجودةطبعا احنا كنا طلبين منكوا ال data set اللي
+
+491
+00:39:37,290 --> 00:39:39,890
+موجودة عنكم هي ال data أو ال data اللي انتو
+
+492
+00:39:39,890 --> 00:39:43,970
+حملتوها تجسمها بتكلم عشان تفاصيل تانية لحد اللحظة
+
+493
+00:39:43,970 --> 00:39:49,510
+طبعا هدفي إلى استخدام ال train test split هذا ممكن
+
+494
+00:39:49,510 --> 00:39:52,510
+نرجعلي بمجموعتين و ممكن نرجعلي باربعة ممكن نرجعلي
+
+495
+00:39:52,510 --> 00:39:56,090
+بمجموعتين و ممكن نرجعلي باربعة لكن انا بدي اشتغل
+
+496
+00:39:56,090 --> 00:39:59,710
+فقط على نظام مجموعتين و لما بنحتاج الاربعة بنتكلم
+
+497
+00:39:59,710 --> 00:40:07,060
+عليهمفالمجموعة الأولى انا بدي اسميها train set كما
+
+498
+00:40:07,060 --> 00:40:15,560
+تانت test set equal اللي هو اللي .. خليني بس أقوله
+
+499
+00:40:15,560 --> 00:40:23,580
+as طبعا هذه ميزة ال as TTS TTS و TTS هذا اللي هي
+
+500
+00:40:23,580 --> 00:40:28,640
+train test split بياخد مني ال data اللي هي ديهو
+
+501
+00:40:28,640 --> 00:40:35,860
+بياخد مني ال test او ال train size والباقي طبعا
+
+502
+00:40:35,860 --> 00:40:41,600
+بياخد النسبة التالية point تلاتة من عشرة كده انا
+
+503
+00:40:41,600 --> 00:40:45,800
+عالمالي بقوله بدي لل test set حجمها تلاتين في
+
+504
+00:40:45,800 --> 00:40:49,920
+المية من ال data set اللي موجودة عندى ومن ثم انا
+
+505
+00:40:49,920 --> 00:40:54,280
+بدي اروح اتكد هى في عندى ال train والسبعين في
+
+506
+00:40:54,280 --> 00:40:56,280
+المية هتظهر لل train هى train
+
+507
+00:40:59,560 --> 00:41:13,260
+set.head تلاتة و نفس الكلام test set.head تلاتة
+
+508
+00:41:13,260 --> 00:41:18,160
+وهي run هد
+
+509
+00:41:18,160 --> 00:41:22,140
+التاعة 8 فيهم عاد عشان هدول جابهم كل واحد لحال و
+
+510
+00:41:22,140 --> 00:41:23,120
+غالبا هد الأخيرة
+
+511
+00:41:25,690 --> 00:41:28,370
+جالباً هذه الأخيرة بدي أعملهم كل واحدة لحالي بشكل
+
+512
+00:41:28,370 --> 00:41:35,390
+مستقل هاي run هاي
+
+513
+00:41:35,390 --> 00:41:42,590
+ال train set وهي ال test set run
+
+514
+00:41:42,590 --> 00:41:47,090
+طبعاً ادوا ال two different sets موجودة ضل هلجت
+
+515
+00:41:47,090 --> 00:41:50,230
+موضوع ال train set اللي انا اكتبها على ال
+
+516
+00:41:53,880 --> 00:41:58,620
+موضوع كتبتها على ال disk بسيط جدا انا للان في عندي
+
+517
+00:41:58,620 --> 00:42:04,700
+الباندا dot زي ما كنت بقوله read csv بروح بقوله to
+
+518
+00:42:04,700 --> 00:42:14,440
+csv و بديله اسم الملف اي train set
+
+519
+00:42:21,360 --> 00:42:30,340
+tsv .. يا عفو ان هاد ال train set train set run و
+
+520
+00:42:30,340 --> 00:42:36,120
+بقى اخد test set بنفس الكيفية test set dot
+
+521
+00:42:36,120 --> 00:42:40,280
+underscore csv
+
+522
+00:42:44,940 --> 00:42:50,960
+testset.csv run و بهيك احنا بنكون ان شاء الله
+
+523
+00:42:50,960 --> 00:42:54,160
+انتهينا من ال application بس عشان انا اتأكد ممكن
+
+524
+00:42:54,160 --> 00:42:59,260
+اروح ادور على ال files اللي موجودة عندى احنا من
+
+525
+00:42:59,260 --> 00:43:04,730
+الأسماء هو طبعا الأسماء كلها مرتبة ترتيبترين سيت
+
+526
+00:43:04,730 --> 00:43:11,730
+وهي ترين سيت وهي تست سيت الآن seconds ago هاي ال
+
+527
+00:43:11,730 --> 00:43:17,230
+data موجودين ك excel file او ك csv file ان شاء
+
+528
+00:43:17,230 --> 00:43:20,850
+الله بتكون المعلومات سهلة بتعيدوا الفيديو مرة
+
+529
+00:43:20,850 --> 00:43:25,310
+وتنتين بحيث انكوا تستوعبوا وان شاء الله تعالى الله
+
+530
+00:43:25,310 --> 00:43:28,610
+عطيكم العافية والسلام عليكم ورحمة الله وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..eac2bfc632935203d26d701b042a8cf669d413e9
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/aMsNbWzP5iY_raw.srt
@@ -0,0 +1,2124 @@
+1
+00:00:01,850 --> 00:00:03,950
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:03,950 --> 00:00:09,330
+أهلا وسهلا بكم أخواني وأخواتي في لقاء أو في تسجيل
+
+3
+00:00:09,330 --> 00:00:13,170
+لكن هذه المرة شغل عملي بالبيثون ل data preparation
+
+4
+00:00:13,850 --> 00:00:16,490
+المثال اللى انا هشتغل عليه ان شاء الله تعالى هيغطي
+
+5
+00:00:16,490 --> 00:00:20,810
+كتير من الجوانب المهمة اللى ممكن تلزمكوا سواء خلال
+
+6
+00:00:20,810 --> 00:00:24,890
+ال course او لاحقا طبعا لأ اخفيكم انا هشتغل على ال
+
+7
+00:00:24,890 --> 00:00:28,810
+database ال iris طبعا ال database صغيرة نوعا ما
+
+8
+00:00:28,810 --> 00:00:33,230
+عملت عليها بعض ال modification او بين جثين استنعت
+
+9
+00:00:33,230 --> 00:00:38,110
+بعض المشاكل فيها يعني اضفت كمان attribute عملت
+
+10
+00:00:38,110 --> 00:00:40,890
+redundant rows اضفت
+
+11
+00:00:43,780 --> 00:00:48,120
+العمود ال raw id ال raw number اللي قدامنا شايفينه
+
+12
+00:00:48,120 --> 00:00:52,440
+احنا هان وعملت فيها بعض ال noise data دخلت value
+
+13
+00:00:52,440 --> 00:00:56,000
+كبيرة جدا يعني مثلا بدل ما هي تكون مثلا خمسة فاصلة
+
+14
+00:00:56,000 --> 00:00:59,400
+واحد زي القيمة اللي هيجي بظهرها دخلت واحدة واحد
+
+15
+00:00:59,400 --> 00:01:02,360
+وخمسين طبعا واضح انه هيكون الاتجاه الخطأ عشان
+
+16
+00:01:02,360 --> 00:01:06,220
+احدده هذه كلها قياسات دخلتها بالسالب دخلت قيمة او
+
+17
+00:01:06,220 --> 00:01:10,390
+تنتين بالسالب عشان انا اقدر اعملهم handlingخلّينا
+
+18
+00:01:10,390 --> 00:01:13,830
+نشوف مع بعض طبعا انا هشتغل على ال .. ال .. ال buy
+
+19
+00:01:13,830 --> 00:01:18,190
+charm الأصل والأصل اللي يكون فيه عندي انا افتح ملف
+
+20
+00:01:18,190 --> 00:01:23,270
+و اعمل load لل data set لكن عشان اطلع من جزئية ان
+
+21
+00:01:23,270 --> 00:01:26,550
+والله كل مرة بدي عيد نفس الشغل السابق إلى آخره
+
+22
+00:01:26,550 --> 00:01:30,370
+هشتغل معاكم ان اعمل خلال ال .. ال Jupiter notebook
+
+23
+00:01:30,370 --> 00:01:33,470
+وال Jupiter notebook هي عبارة عن نظام interpreter
+
+24
+00:01:33,470 --> 00:01:39,910
+مش نظامكمبايلر طبعا نعرف الفرق بين اتنين انه بال
+
+25
+00:01:39,910 --> 00:01:42,390
+interpreter انا بشتغل statement by statement و
+
+26
+00:01:42,390 --> 00:01:46,330
+بعمل run و بنتقل للي بعديها بينما بال ..
+
+27
+00:01:46,330 --> 00:01:50,210
+بالكمبايلر لأ انا بشغل دائما البرنامج من البداية
+
+28
+00:01:50,210 --> 00:01:53,990
+عشان هيك بتلاقي الكاجل ال collab معظم ال online
+
+29
+00:01:53,990 --> 00:01:58,310
+editors او اللي خلنا نقول online platforms اللي
+
+30
+00:01:58,310 --> 00:02:00,610
+موجودة لل data science او لل machine learning
+
+31
+00:02:00,610 --> 00:02:06,000
+بتشتغل عليها موضوع ال Jupiter notebookأو نظام ال
+
+32
+00:02:06,000 --> 00:02:09,420
+notebook خلّيني أقول بشكل سريع أشي اللي أنا سويته
+
+33
+00:02:09,420 --> 00:02:12,460
+طبعا كل هذه لا تخفى على أحد منكم أنه أنا عملت
+
+34
+00:02:12,460 --> 00:02:16,440
+import لل pandas و هي ال library المسؤولة عن قراءة
+
+35
+00:02:16,440 --> 00:02:20,760
+ال data framework و أنا من الآن ال data تبعتي
+
+36
+00:02:20,760 --> 00:02:24,320
+موجودة في iris file موجود على نفس المجلد اللي
+
+37
+00:02:24,320 --> 00:02:27,500
+موجود عليه الملف اللي موجود عندي هنا فبس أنا عملت
+
+38
+00:02:27,500 --> 00:02:30,840
+عشان أتأكد أن عملت القراءة تمت بشكل صحيح فروحت
+
+39
+00:02:30,840 --> 00:02:35,730
+عملت إيشdata.head طبعا في ميزة هنا جماعة الخير انا
+
+40
+00:02:35,730 --> 00:02:38,910
+مش بحاجة انه في ال notebook او في الجابتر notebook
+
+41
+00:02:38,910 --> 00:02:42,170
+اروح استخدم جملة print مجرد ان انا اروح على ال ..
+
+42
+00:02:42,170 --> 00:02:45,390
+مجرد اكتب اسم ال variable فبروح بنفذلي كتير من ال
+
+43
+00:02:45,390 --> 00:02:50,210
+task و هاي برضه ميزة اريح من موضوع ال printing او
+
+44
+00:02:50,210 --> 00:02:53,850
+الجزء .. الحاجات دي كتير في كتابة و انا بعمل print
+
+45
+00:02:53,850 --> 00:02:57,050
+او بطلب يعملي يطبعلي بعض ال values اللي موجودة
+
+46
+00:02:57,050 --> 00:02:59,850
+عندى خليني انا بدعم ال restart من البداية بس عشان
+
+47
+00:02:59,850 --> 00:03:00,350
+اتأكد
+
+48
+00:03:05,140 --> 00:03:08,620
+ممتاز الخطوة الأولى تمت تم اتقرأت ال data file وهي
+
+49
+00:03:08,620 --> 00:03:12,620
+بداني ال header file طبعا بمكانك تضع عدد ال header
+
+50
+00:03:12,620 --> 00:03:17,120
+اللي تريده تلاتة أو خمسة أو عشرة اللي تريدها من ال
+
+51
+00:03:17,120 --> 00:03:21,700
+values اللي موجودة عندهاطيب أول خطوة انا بدي
+
+52
+00:03:21,700 --> 00:03:25,180
+أسويها بدي أحاول أستقرق ال data اللي عندى بشكل عام
+
+53
+00:03:25,180 --> 00:03:28,180
+أو بدي أخد نظرة عن ال data اللي موجودة قولنا لازم
+
+54
+00:03:28,180 --> 00:03:31,640
+نفهم ال data بشكل كويس طبعا انا برجع بقول ان ال
+
+55
+00:03:31,640 --> 00:03:34,620
+iris كل الأعمد اللي فيها عبارة عن numerical فده
+
+56
+00:03:34,620 --> 00:03:40,240
+values باستثناء ال labelالـ values اللي موجودة
+
+57
+00:03:40,240 --> 00:03:44,680
+عندي هذه من a1 ل a5 هي عبارة عن قياسات لزهرة
+
+58
+00:03:44,680 --> 00:03:49,320
+السوسن طبعا أنا جامعة الخير العمود خمسة أنا هذا
+
+59
+00:03:49,320 --> 00:03:53,120
+أنا أنشأته انشاء بناء على شغل معين عشان أشوفها عند
+
+60
+00:03:53,120 --> 00:03:58,240
+ال correlation و نشتغل عليها تمام الان كل اللي انا
+
+61
+00:03:58,240 --> 00:04:03,100
+بدي أسويه هو import لل
+
+62
+00:04:03,100 --> 00:04:03,780
+matplot
+
+63
+00:04:14,870 --> 00:04:20,290
+library matplotlib.pyplot
+
+64
+00:04:20,290 --> 00:04:25,950
+وطبعا انا ممكن استدعي ال class هذا بشكل مباشر لكن
+
+65
+00:04:25,950 --> 00:04:29,750
+انا ممكن اروح واختصار ال class as blt زي ما حطينا
+
+66
+00:04:29,750 --> 00:04:34,140
+لل band اذا كنا بنستخدم ال bdهروح الان ال data
+
+67
+00:04:34,140 --> 00:04:39,360
+تبعتي انا اسمها data اذا شئت انا اقل ال load اللي
+
+68
+00:04:39,360 --> 00:04:44,360
+عندي هقوله d equal data عشان اظهر اكتب ال d فقط و
+
+69
+00:04:44,360 --> 00:04:50,240
+هروح اقوله ال d dot في عندي function اسمها hist و
+
+70
+00:04:50,240 --> 00:04:54,600
+المقصود فيها ال histogram و blt.show
+
+71
+00:04:57,690 --> 00:05:02,150
+مجرد استدعاية الـ Python library الاسمها
+
+72
+00:05:02,150 --> 00:05:05,430
+mathematical plotting library for python
+
+73
+00:05:09,300 --> 00:05:12,980
+بي بلوت و بدي اروح ارسم ال data هذه الجملة بس عشان
+
+74
+00:05:12,980 --> 00:05:15,140
+ماضلش اكتب كلمة data هحط حرف ال D و امشي على
+
+75
+00:05:15,140 --> 00:05:17,720
+السريع يعني عشان اريح حالي زي ما اقوله ده اللي
+
+76
+00:05:17,720 --> 00:05:21,600
+طبعا هنا مباشرة طبعا اللي اللي اللي اللي اللي اللي
+
+77
+00:05:21,600 --> 00:05:22,080
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+78
+00:05:22,080 --> 00:05:22,200
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+79
+00:05:22,200 --> 00:05:22,260
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+80
+00:05:22,260 --> 00:05:25,300
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+81
+00:05:25,300 --> 00:05:25,300
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+82
+00:05:25,300 --> 00:05:25,320
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+83
+00:05:25,320 --> 00:05:35,520
+اللي اللي
+
+84
+00:05:35,520 --> 00:05:38,590
+الليالان بقول ان تم رسمها، طبعا الرسمة دي وينها؟
+
+85
+00:05:38,590 --> 00:05:53,210
+لازم اشوفها من بقى جهانة على ال .. اه وينها؟
+
+86
+00:05:53,210 --> 00:05:59,410
+لازم
+
+87
+00:05:59,410 --> 00:06:00,370
+كنتي جهانة
+
+88
+00:06:03,600 --> 00:06:09,300
+هي بدى اعمل insert cell locally مع انه المفروض ال
+
+89
+00:06:09,300 --> 00:06:15,480
+synchronization بين التانين تكون تمام هيرن ال cell
+
+90
+00:06:15,480 --> 00:06:22,210
+هى ال libraryأو الناتج اللي طلع عندى طبعا هان بدين
+
+91
+00:06:22,210 --> 00:06:26,530
+الهستجرام توزيعت ال data ما بين a1, a2, a3, a4,
+
+92
+00:06:26,630 --> 00:06:31,530
+a5, a6 طبعا ال mo ده الصحيح طبعا لما قلتلكوا أنا
+
+93
+00:06:31,530 --> 00:06:35,050
+جارى العمل على تسجيل الفيديو وجهت مشكلة انه ماعرفش
+
+94
+00:06:35,050 --> 00:06:38,190
+ايش اتعطل عني في ال python واضطررت ان انزل من جديد
+
+95
+00:06:38,190 --> 00:06:42,310
+صار تظهر عندى ال mo اللي انا فعليا لحد اللحظة مش
+
+96
+00:06:42,310 --> 00:06:46,330
+قادر افهم اشياء ما علينا طبعا هو استثنى ال raw
+
+97
+00:06:46,330 --> 00:06:49,710
+number اللي موجود عندى هانالواحدة الخامسة
+
+98
+00:06:49,710 --> 00:06:52,850
+مابلزمنيش لأنه مافيش فيه distribution ايجا قاللي
+
+99
+00:06:52,850 --> 00:06:54,810
+والله في اي واحد معظم ال distribution في عندي
+
+100
+00:06:54,810 --> 00:06:57,550
+value كبيرة جدا واضح انه في عندي value كبيرة جدا و
+
+101
+00:06:57,550 --> 00:07:00,830
+الباقية ايش تكاد القيم ماتكونش مبينة بالنسبة لإلها
+
+102
+00:07:00,830 --> 00:07:05,570
+التوزيع ما بين العناصر اللي موجودة عندي واضح انه
+
+103
+00:07:05,570 --> 00:07:11,390
+ايه اربعة او ايه خمسة في بينهم relation ربما مامش
+
+104
+00:07:11,390 --> 00:07:15,350
+عارف خليني لكن بالمجمل هي بقولي انا ال histogram
+
+105
+00:07:15,350 --> 00:07:20,460
+داني الصورة عن ال data اللي موجودةخلّينا ننتقل
+
+106
+00:07:20,460 --> 00:07:24,840
+للخطوة التالية الان لو انا اتيت على سبيل المثال
+
+107
+00:07:24,840 --> 00:07:29,320
+كلنا متفقين ان العمود الأول هذا اللي هو ال raw
+
+108
+00:07:29,320 --> 00:07:32,540
+number useless وانا بدي اروح العمود هذا بدي اروح
+
+109
+00:07:32,540 --> 00:07:37,360
+احد فوق بدي اروح احد فوق بكل بساطة بروح و بقول دي
+
+110
+00:07:37,360 --> 00:07:43,020
+dot drop ال
+
+111
+00:07:43,020 --> 00:07:52,350
+drop هذه بدها مني اسم ال raw numberR number طبعا
+
+112
+00:07:52,350 --> 00:07:59,410
+ال axis equal one ال x axis طبعا اللي هي ال road
+
+113
+00:07:59,410 --> 00:08:03,690
+بتمثل zero و ال columns بتمثل one طبعا في عندي
+
+114
+00:08:03,690 --> 00:08:08,830
+command in place هذا مهم جدا بدأ أحطها true يعني
+
+115
+00:08:08,830 --> 00:08:12,990
+انت الآن التعديل بدون مكان مباشرة صحيح طبعا بعديها
+
+116
+00:08:12,990 --> 00:08:19,740
+ممكن انا اروح اقوله ال D dotهد و بس تلاتة بس لان
+
+117
+00:08:19,740 --> 00:08:23,860
+انا بدي اشوف العناصر اللي موجودة شو بدي أصير فيها
+
+118
+00:08:23,860 --> 00:08:27,920
+ممتاز تم حذفهاش اقل كل اللي سويته انا هان لان انا
+
+119
+00:08:27,920 --> 00:08:31,100
+روحي و قولتله d.drop اديته اسم ال attribute اللي
+
+120
+00:08:31,100 --> 00:08:37,150
+انا بدياهو من ثم انا روحت ايش قلتله الحدث هذا في
+
+121
+00:08:37,150 --> 00:08:43,110
+الإعبارة من مجموعة الأعمدة و ال in place تروح طبعا
+
+122
+00:08:43,110 --> 00:08:45,650
+هذا نفس الكلام اللي نفسه لان ليش جبتله ليش ال
+
+123
+00:08:45,650 --> 00:08:48,170
+access مهم جماعة الخير لأنه انا برضه نفس ال
+
+124
+00:08:48,170 --> 00:08:51,530
+function هاي من ال data framework اللي هي D اللي
+
+125
+00:08:51,530 --> 00:08:54,230
+هي ال band as a framework انا بستخدمها ال method
+
+126
+00:08:54,230 --> 00:08:56,910
+تبعتها ال drop برضه بستخدم الحدث الصفوف وبناء على
+
+127
+00:08:56,910 --> 00:09:00,110
+هيك انا لازم احدد ال access طبعا انا ممكن اروح انا
+
+128
+00:09:00,110 --> 00:09:04,940
+اكتب هنا قائمةبالـ Rows أو بالأعمدة اللي أنا بدي
+
+129
+00:09:04,940 --> 00:09:11,160
+إياها لو أنا بدي أحدث مجموعة من الأعمدة بدي أقول
+
+130
+00:09:11,160 --> 00:09:18,860
+A1 و A2 و A3 طبعا بدي أذكرهم ك text زي ما كنا ..
+
+131
+00:09:18,860 --> 00:09:22,790
+زي ما شوفنا بالمثال الموجود منها ممتازالنقطة اللي
+
+132
+00:09:22,790 --> 00:09:25,750
+بعدها، بدنا ننتقل الآن، معناته أنا هيني حذفت
+
+133
+00:09:25,750 --> 00:09:31,990
+العناصر اللي ما الهاش لازمة عندي خليني أبقى في
+
+134
+00:09:31,990 --> 00:09:35,170
+موضوع حد في الصحوف لما نيجي نتكلم أنا بدي أحدف صف
+
+135
+00:09:35,170 --> 00:09:39,510
+معين بناخد كمثال و بنجربطيب الان لو انا بدى ادور
+
+136
+00:09:39,510 --> 00:09:41,990
+على الـ Duplicate الان انا بدى امشي على الـ
+
+137
+00:09:41,990 --> 00:09:44,670
+Duplicate و اشوف واش فيه Duplicate في ال rows و
+
+138
+00:09:44,670 --> 00:09:49,350
+اروح احذفها زى ما قلتلكم انا ال data هذه اشتغلت
+
+139
+00:09:49,350 --> 00:09:54,650
+عليها شوية اصطناعت فيها بعض الأخطاء من أجل ان اخزن
+
+140
+00:09:54,650 --> 00:09:57,710
+البيانات اللى موجودة عندها اذا انا كنت بالان بدي
+
+141
+00:09:57,710 --> 00:10:03,850
+اشتغل على ال Duplicate معناته هروح و اقوله D.Drop
+
+142
+00:10:03,850 --> 00:10:06,290
+Duplicate Duplicate
+
+143
+00:10:12,090 --> 00:10:15,090
+طبعا مهم في موضوع الـ duplicates لما انا بده
+
+144
+00:10:15,090 --> 00:10:19,510
+احذفها انه انا افهم القيم اللي بديها تتكرر هل
+
+145
+00:10:19,510 --> 00:10:22,450
+التكرار قيمة معينة في عمود معين يعني على سبيل
+
+146
+00:10:22,450 --> 00:10:26,650
+المثال لو انا الان روحت كتبتله و قولتله انا بفد
+
+147
+00:10:26,650 --> 00:10:32,050
+التكرار فقط في عمود A5 معناته الاول تلات قيم هذول
+
+148
+00:10:32,050 --> 00:10:36,740
+اللي ظهرت قداميوكل ال values اللي موجودة point
+
+149
+00:10:36,740 --> 00:10:40,480
+تلاتة في خمسة بدها تنحدد و لا بدي اياهم في عمودين
+
+150
+00:10:40,480 --> 00:10:43,920
+اتنين و تلاتة اتنين و تلاتة اتنين و تلاتة و لا بدي
+
+151
+00:10:43,920 --> 00:10:48,140
+اياهم في اربع اعمدة او اربع اعمدة او ما شابه عشان
+
+152
+00:10:48,140 --> 00:10:50,500
+هيك دائما اول attribute اللي بتطلب مني في ال
+
+153
+00:10:50,500 --> 00:10:54,440
+duplicate اللي هي ال subset ال subset هان هي عبارة
+
+154
+00:10:54,440 --> 00:10:59,320
+عن مجموعة ال attributes اللي انا بدي اياها ايش ال
+
+155
+00:10:59,320 --> 00:11:04,040
+attributes اللي انا بدي اياهم كمان مرة هي a واحدهي
+
+156
+00:11:04,040 --> 00:11:07,760
+كانت انا قاعد بقوله وين ما فيه rows ال duplication
+
+157
+00:11:07,760 --> 00:11:14,290
+تبعتها او القيمة بتتكرر فيهالـ values تبعت A1
+
+158
+00:11:14,290 --> 00:11:18,790
+يعدهم as duplicate rows إذا أنا روح اتحطيت هنا
+
+159
+00:11:18,790 --> 00:11:24,770
+كمان مرة A2 معناته أنا قاعد بقوله وين فيه rows A1
+
+160
+00:11:24,770 --> 00:11:28,690
+و A2 متشابهات فهدولة duplicate rows بتمنى تكون
+
+161
+00:11:28,690 --> 00:11:32,370
+الصورة وصلت فA3 خلينا بس أنا أجربها على سبيل
+
+162
+00:11:32,370 --> 00:11:36,910
+المثال على A1
+
+163
+00:11:37,440 --> 00:11:44,840
+Okay اي واحد ما احنا عملت دي برضه كويس اي اي خمسة
+
+164
+00:11:44,840 --> 00:11:48,700
+طيب ال values اللي بعد هي كده ان انا بدي اروح
+
+165
+00:11:48,700 --> 00:11:52,720
+اقوله شو بدي يصير فيهم في موضوع ال keep لجيت فيه
+
+166
+00:11:52,720 --> 00:11:55,860
+duplicate شو بدي يصير لان في عندي تلت خيارات في
+
+167
+00:11:55,860 --> 00:11:59,240
+عند ال لا في عند ال false ماتحتفظش ولا بحاجة يعني
+
+168
+00:11:59,240 --> 00:12:04,970
+كل ال rows المكررة احذفهاهل هذا الكلام منطقي؟ يعني
+
+169
+00:12:04,970 --> 00:12:10,870
+مايبقى ولا رو في الـ Attribute A5 قيمته 0.310 على
+
+170
+00:12:10,870 --> 00:12:13,650
+سبيل المثال إذا انا حاطيت الـ False فبعن القيمة
+
+171
+00:12:13,650 --> 00:12:17,410
+التالية اللي بعد هي الـ First فبعن الـ False
+
+172
+00:12:17,410 --> 00:12:22,970
+بتتاخد False
+
+173
+00:12:22,970 --> 00:12:27,030
+فهيك مايخزنش ولا حاجة First
+
+174
+00:12:29,160 --> 00:12:33,020
+احتفظ في القيمة الأولى فقط أو القيمة التي تجدها أو
+
+175
+00:12:33,020 --> 00:12:36,400
+الـ last في الآخر أنا بدي قيمة واحدة من الـ
+
+176
+00:12:36,400 --> 00:12:41,560
+duplicate values اللي موجودة عندها وبعد ذلك in
+
+177
+00:12:41,560 --> 00:12:48,020
+place حيث ان ال value أو التأثير هتكون مباشرة على
+
+178
+00:12:48,020 --> 00:12:53,440
+القيمة اللي موجودة عندى equal true
+
+179
+00:12:59,570 --> 00:13:07,690
+Okay و هاي بدي أروح أقوله أنا head d
+
+180
+00:13:07,690 --> 00:13:12,730
+.head 10
+
+181
+00:13:12,730 --> 00:13:19,010
+run لاحظوا معايا الآن في ال attribute اللي موجود
+
+182
+00:13:19,010 --> 00:13:23,230
+عندي هان طبعا
+
+183
+00:13:23,230 --> 00:13:29,410
+لو أنا قلتله data.info
+
+184
+00:13:31,310 --> 00:13:41,470
+عشان اقارن بس بينهم و دي dot info run لاحظوا في ال
+
+185
+00:13:41,470 --> 00:13:45,050
+data ايش جالي طبعا في الاول
+
+186
+00:13:50,030 --> 00:13:53,270
+لأ ما هي نفس ال pointer في دريبالكو صارت نفس ال
+
+187
+00:13:53,270 --> 00:13:58,990
+pointer على نفس النقطة اللي موجودة عندنا فاحنا
+
+188
+00:13:58,990 --> 00:14:03,570
+فهمنا موضوع الحدث على الأقل هي pointer على نفس ال
+
+189
+00:14:03,570 --> 00:14:09,310
+pandas اللي موجودة عند key فمش قضية كتير بنعيد
+
+190
+00:14:09,310 --> 00:14:13,550
+الشغل من تاني على السريع في موضوع القراءةطيب فبدأ
+
+191
+00:14:13,550 --> 00:14:16,210
+ارجع في موضوع ال drop معناته انا التكرار بيكون على
+
+192
+00:14:16,210 --> 00:14:18,850
+مستوى ال raw بالكامل على مستوى ال raw بالكامل
+
+193
+00:14:18,850 --> 00:14:24,630
+معناته انا ممكن اش اروح اساوي control
+
+194
+00:14:24,630 --> 00:14:32,470
+X list اروح اقول له list equal اللي هي duplicate
+
+195
+00:14:32,470 --> 00:14:36,730
+rows a2
+
+196
+00:14:36,730 --> 00:14:40,910
+a3
+
+197
+00:14:47,610 --> 00:14:53,870
+أربعة خمسة خمسة
+
+198
+00:14:53,870 --> 00:14:58,130
+بالإضافة لل label يعني انا في عندي فعليا تكرار
+
+199
+00:14:58,130 --> 00:15:04,010
+بالكامل لهذه ال label وهيك انا صار في عندي list
+
+200
+00:15:04,010 --> 00:15:12,400
+خليني بس بدي ارجع اعيد ال runningللكل اي restart
+
+201
+00:15:12,400 --> 00:15:20,440
+restart run run طبعا هدولا كلهم ماتغيرش فيهم ولا
+
+202
+00:15:20,440 --> 00:15:24,140
+حاجة والان عملوه بنفذ واحدة ورا التانية هي الان
+
+203
+00:15:24,140 --> 00:15:32,040
+وصلت ال duplicate remove لل duplicate id.info run
+
+204
+00:15:34,700 --> 00:15:38,240
+مية و اتنين و خمسين rows في حين انه قبل شوية لما
+
+205
+00:15:38,240 --> 00:15:41,980
+كنا جربنا حذفنا بس على الأول طبعا هذا هو المنطق ان
+
+206
+00:15:41,980 --> 00:15:45,500
+انا الآن اذا لو اختلفت قيمة واحدة في ال raw فهذا
+
+207
+00:15:45,500 --> 00:15:49,460
+ال raw unduplicated وبالتالي بما انه انا قاعد بقرأ
+
+208
+00:15:49,460 --> 00:15:53,960
+بجيس او ب .. عندي معلومات او قياسية عن زهرة معينة
+
+209
+00:15:53,960 --> 00:15:57,400
+زهرة اللي هي زهرة السوسن معناته طبيعي يكون في عندي
+
+210
+00:15:57,400 --> 00:16:00,740
+قياسات متشابهة لكن اختلاف اي واحدة من القيام هدول
+
+211
+00:16:00,740 --> 00:16:04,500
+يعني ان انا في عندي different row تمامبمتازة،
+
+212
+00:16:04,500 --> 00:16:07,000
+معناته هي أننا فهمنا موضوع الـ duplicate تمام و
+
+213
+00:16:07,000 --> 00:16:10,520
+حذفنا الـ duplicate values ان شاء الله تعالى طيب،
+
+214
+00:16:10,520 --> 00:16:13,760
+الآن هل في عندي null؟ ايش ال null؟ و جديش؟ و اين
+
+215
+00:16:13,760 --> 00:16:16,560
+موجود؟ هذه ال information اللي انا حصلت عليها
+
+216
+00:16:16,560 --> 00:16:22,660
+عبارة عن general information جالي ال attribute هذا
+
+217
+00:16:22,660 --> 00:16:25,820
+طبعا في إشارات هيه بقول انه في عندي null value عدد
+
+218
+00:16:25,820 --> 00:16:32,960
+ال entries اللي موجودة عند 152 entry الآن 149 فيE1
+
+219
+00:16:32,960 --> 00:16:43,880
+E2 E3 152 E4 E5 151في ال label يعني هنا في عندي
+
+220
+00:16:43,880 --> 00:16:46,440
+تلاتة في كل attribute missing وفي عندي واحدة
+
+221
+00:16:46,440 --> 00:16:49,780
+missing هنا مظبوط كلامي هيك صحيح يعني انا في عندي
+
+222
+00:16:49,780 --> 00:16:53,400
+تلاتة missing هنا و واحدة missing هنا هذه اللي هان
+
+223
+00:16:53,400 --> 00:17:00,360
+انا ممكن اذهب و اذهب اعملها لل missing خليني بس
+
+224
+00:17:00,360 --> 00:17:07,220
+قبل هيك في عندي دي doc describe ال function هاي
+
+225
+00:17:07,220 --> 00:17:09,460
+describe نعم
+
+226
+00:17:12,280 --> 00:17:15,960
+معلومات كاملة عن الـ Attribute Statistical
+
+227
+00:17:15,960 --> 00:17:20,480
+Description المتوسط الحسابي الـ Standardization
+
+228
+00:17:20,480 --> 00:17:26,540
+الـ Minimum المتلقي أو الربع الأول أو الربع التاني
+
+229
+00:17:26,540 --> 00:17:31,100
+أو الربع التالتطبعاً بيقول لي فيه انك ال maximum
+
+230
+00:17:31,100 --> 00:17:35,580
+value هذي سبعة و خمسين سنطي سبعة و خمسين سنطي قياس
+
+231
+00:17:35,580 --> 00:17:39,500
+الزهرة هذا الكلام يكاد يكون مستحيل طبعاً في عندي
+
+232
+00:17:39,500 --> 00:17:43,480
+قيمة سالبة هان هكذا انا صرت انا جادر اشوف ايش ال
+
+233
+00:17:43,480 --> 00:17:47,000
+data او وين مشاكل ال data بالاضافة للمولود طبعا مش
+
+234
+00:17:47,000 --> 00:17:50,300
+مبين ال missing عندي هان الا غير من خلال ال count
+
+235
+00:17:50,300 --> 00:17:53,500
+الا من غير من خلال ال count ممتاز معناته انا صار
+
+236
+00:17:53,500 --> 00:17:54,200
+في عندي الآن
+
+237
+00:17:56,930 --> 00:18:00,190
+معرفة الـ Missing اللي موجودة طبعا ممكن انا اتحصل
+
+238
+00:18:00,190 --> 00:18:05,430
+للـ Missing لو كتبت ال .. او عملت ال code التالي
+
+239
+00:18:05,430 --> 00:18:08,490
+انا بدي اروح اقوله ال missing equal
+
+240
+00:18:13,760 --> 00:18:19,980
+PDBANDAS.DATAFRAME وانشغل
+
+241
+00:18:19,980 --> 00:18:24,820
+DataFrame جديد واسمي الـ attribute اللي فيه
+
+242
+00:18:24,820 --> 00:18:36,660
+missing و ال value تبعته الـ D.IS NULL و اقول له
+
+243
+00:18:36,660 --> 00:18:42,220
+sumهذه الـ function المفروض إنها بدها تمر على كل
+
+244
+00:18:42,220 --> 00:18:46,280
+ال data frame اللي موجود عند ال data وإن في عندى
+
+245
+00:18:46,280 --> 00:18:49,700
+null تروح تحاول تعدّليها تبعًا لمين ال attributes
+
+246
+00:18:49,700 --> 00:18:54,940
+اللي موجودة عندها okay عشان يجيب ليه ال value اللي
+
+247
+00:18:54,940 --> 00:18:58,900
+موجودة أنا بضرر هقول له هاتلي ال missing اللي عندك
+
+248
+00:18:58,900 --> 00:19:06,020
+هدول هيدم ثابت جملة الطباعة أ run وإن أنا أخطأت أه
+
+249
+00:19:06,020 --> 00:19:07,120
+في أقواص هنا
+
+250
+00:19:12,290 --> 00:19:20,350
+هي راح جابلي ال a1, a2, a3, a4, a5 و ال label هدوء
+
+251
+00:19:20,350 --> 00:19:23,530
+طبعا قاللي ان هذه عدد ال missing اللي موجود عندك
+
+252
+00:19:23,530 --> 00:19:27,970
+موجودة في a1, a3, a2 الاخرين طبعا ليش انا اعمل
+
+253
+00:19:27,970 --> 00:19:30,570
+تحيك يا جماعة الخير؟ طبعا هي البيانة اللي احصلها
+
+254
+00:19:30,570 --> 00:19:34,200
+من هنالكن برضه هى في طريقة تانية ممكن احصر ال
+
+255
+00:19:34,200 --> 00:19:37,440
+missing بشكل واضح مع كل attribute طبعا لو انت
+
+256
+00:19:37,440 --> 00:19:40,700
+سألتني ال missing اللي هان شو ممكن اسول فيه ممكن
+
+257
+00:19:40,700 --> 00:19:43,980
+اعبيه بال mean او اعبيه بال median مش فارقة كتير
+
+258
+00:19:43,980 --> 00:19:48,060
+معايا ممكن اعمله drop بس ال label اللي هان حتما
+
+259
+00:19:48,060 --> 00:19:51,700
+لازم اعمله drop لان هذا مابينفعى يظل ليش لان انا
+
+260
+00:19:51,700 --> 00:19:54,780
+عند قياسات ومش معروف نوع الزهرة فانا لازم اعمله
+
+261
+00:19:54,780 --> 00:19:58,620
+drop طيب بما انه صارنا نتكلم على ال dropخلّيني
+
+262
+00:19:58,620 --> 00:20:04,300
+أروح نحذف ال .. ال attribute اللي فيها ال label
+
+263
+00:20:04,300 --> 00:20:14,300
+أولا وهي اللي بدي أحطها هنا comment drop rose with
+
+264
+00:20:14,300 --> 00:20:20,340
+null value in sir
+
+265
+00:20:22,730 --> 00:20:28,730
+certain attribute اللي هسويه الآن هروح أنا اقول
+
+266
+00:20:28,730 --> 00:20:36,330
+اللي هو data equal data ال data framework اللي
+
+267
+00:20:36,330 --> 00:20:51,030
+موجود عندي ال data او ال data.label dot
+
+268
+00:20:53,220 --> 00:20:58,060
+not an A هكذا
+
+269
+00:20:58,060 --> 00:21:05,080
+أنا قاعد بقى أقوله نفّذ لي إياها وهذه الجملة تماما
+
+270
+00:21:05,080 --> 00:21:09,620
+تكافئ جملة تانية هكتبها الآن ممكن أنا أروح أقوله
+
+271
+00:21:09,620 --> 00:21:16,680
+data equal
+
+272
+00:21:16,680 --> 00:21:23,530
+data framework اللي موجود عندىبداخل الجوز بيدي
+
+273
+00:21:23,530 --> 00:21:27,730
+البندز.not
+
+274
+00:21:29,960 --> 00:21:36,000
+نال و الـ not null هاي بدي أزودها بال data باسم ال
+
+275
+00:21:36,000 --> 00:21:41,260
+attribute اللي موجود عندنا اللي هي مين ال build
+
+276
+00:21:41,260 --> 00:21:46,300
+سواء نفذت الجملة اللي فوق أو نفذت الجملة اللي تحت
+
+277
+00:21:46,300 --> 00:21:52,160
+ال two two هيدوني نفس النتيجة و هي انه هيعمل drop
+
+278
+00:21:52,160 --> 00:21:57,270
+ل ال attribute الليللـ Raw اللي فيه ال label يبقى
+
+279
+00:21:57,270 --> 00:22:01,470
+له missing هيرن عشان نتأكد بدي أعيد ال code تبع ال
+
+280
+00:22:01,470 --> 00:22:09,210
+missing هذا الآن ها وهيرن لاحظوا أنه مافيش عندي
+
+281
+00:22:09,210 --> 00:22:12,250
+missing الآن في ال label طبعا سواء نفذنا الجملة
+
+282
+00:22:12,250 --> 00:22:15,590
+الأولى جماعة الخير أو الجملة التانية نفس الكلام
+
+283
+00:22:15,590 --> 00:22:19,370
+لكن مع اختلاف طبعا هنبعتمادي على ال data أنا جا
+
+284
+00:22:19,370 --> 00:22:24,710
+عنبه اللي بقوله خلص ال data دي بتساوت Dwhere ال
+
+285
+00:22:24,710 --> 00:22:30,670
+label notاللي هي ال values تبعته exist أو not null
+
+286
+00:22:30,670 --> 00:22:34,030
+تمام هي كانت انا عملت drop طيب بما ان وصلنا نتكلم
+
+287
+00:22:34,030 --> 00:22:37,250
+عن handling لل missing وهي اول واحدة عملناها هان
+
+288
+00:22:37,250 --> 00:22:41,750
+خليني اروح بعد هي كده ايش نساوي اروح نعمل ال fill
+
+289
+00:22:41,750 --> 00:22:47,890
+بالاعتمادنا على ال a2 و a3 هبتروح عملهم fill بال
+
+290
+00:22:47,890 --> 00:22:53,730
+mean طبعا ليش مديش اعبي a1 بال mean عندي 57
+
+291
+00:22:59,560 --> 00:23:05,720
+مقارنة بين الـ A1 و A3 خمسة و خمسة كبيرة المين فلو
+
+292
+00:23:05,720 --> 00:23:08,960
+انا بدى اخزن ال median بيمشي حالها القيمة الوصلة و
+
+293
+00:23:08,960 --> 00:23:11,720
+قولنا ال median فيها ميزة ان لما بيعتمدنا عليها
+
+294
+00:23:11,720 --> 00:23:18,020
+ممكن تضيع تأثير ال value الكبيرة الموجودة و حد
+
+295
+00:23:18,020 --> 00:23:22,400
+هنرجع كمان مرة بنعالج ال noise خلينا فقط مع المين
+
+296
+00:23:23,090 --> 00:23:35,030
+هروح أبدأ بـ data of a واحد بدها تساوي data of a
+
+297
+00:23:35,030 --> 00:23:43,870
+واحد dot فلان a اللي هي not available بإيش بدي
+
+298
+00:23:43,870 --> 00:23:49,930
+أعملها في ال data of a واحد
+
+299
+00:23:55,660 --> 00:24:04,060
+.media كمان هذه الأولى هنسخها
+
+300
+00:24:04,060 --> 00:24:17,100
+اتنين
+
+301
+00:24:17,100 --> 00:24:21,360
+اتنين
+
+302
+00:24:23,150 --> 00:24:26,010
+طبعا يا جماعة الخير أنا بقى أشتغل و لا أهمني أين
+
+303
+00:24:26,010 --> 00:24:29,850
+الخطأ أو ال missing اللي موجودة إذا أنا بدي ال
+
+304
+00:24:29,850 --> 00:24:33,250
+missing ممكن في عندي conditions هنشوفها كمان شوية
+
+305
+00:24:33,250 --> 00:24:35,050
+زي ما لما بتدور على ال maximum value اللي هي
+
+306
+00:24:35,050 --> 00:24:39,390
+السبعة و خمسين ممكن أنا أروح أطبق عليها بشكل كويس
+
+307
+00:24:39,390 --> 00:24:46,650
+أنسخ هاي تلاتة
+
+308
+00:24:50,400 --> 00:24:54,340
+طبعا انا عملت هدولة بالمين و هد بالميديان و وراهم
+
+309
+00:24:54,340 --> 00:25:00,540
+مباشرة بدي اقول له هاتلي ايش حسبلي ال missing
+
+310
+00:25:00,540 --> 00:25:05,600
+حطيتهم في نفس ال cell عشان مايكونش عندي مشكلة و ان
+
+311
+00:25:05,600 --> 00:25:07,620
+شاء الله اه ليش هيك
+
+312
+00:25:16,070 --> 00:25:21,470
+مش خطأ و دليل انه ماضلش في عندي values مفقودة
+
+313
+00:25:21,470 --> 00:25:29,430
+بالموجود طب لو انا راح قلتله d.describe
+
+314
+00:25:35,930 --> 00:25:40,790
+أوكي كله صاروا 151 مصبوط هي كان مابيش الخياشة ده a
+
+315
+00:25:40,790 --> 00:25:45,650
+value is trying to be a set to a copy of a slice
+
+316
+00:25:45,650 --> 00:25:51,030
+from that framework هي أشبه بال warning نعم هدا هي
+
+317
+00:25:51,030 --> 00:25:57,250
+a setting with copy warningهو بيحذرني انه بيصير في
+
+318
+00:25:57,250 --> 00:26:03,110
+عندى تعديل على ال data بناء على ال data موجودة هو
+
+319
+00:26:03,110 --> 00:26:07,210
+عمال بيقول استخدم value أو بعول بيقول استخدم value
+
+320
+00:26:07,210 --> 00:26:11,030
+بدل مش قضيتنا كتير بس في الآخر انا هى ال value
+
+321
+00:26:11,030 --> 00:26:16,630
+تبعت ان اعمل لهاومورها المفروض الآن مافيش عندي
+
+322
+00:26:16,630 --> 00:26:21,910
+missing مطلقا طيب ننتقل بعد هيكاد للجزئية ان والله
+
+323
+00:26:21,910 --> 00:26:26,690
+شو وضع لل noise data وين ال noise data تبعتي طبعا
+
+324
+00:26:26,690 --> 00:26:29,430
+انا ممكن استدل على noise data اولا بما انه انا
+
+325
+00:26:29,430 --> 00:26:32,990
+بتكلم على measurement معناته هذه مش سالب تلاتة هذه
+
+326
+00:26:32,990 --> 00:26:36,960
+تلاتةوبما أنه انا بتكلم على ميجارمنت لوردة برضه مش
+
+327
+00:26:36,960 --> 00:26:40,320
+منطق يكون في عندي ال maximum value هي 57 عشان هي
+
+328
+00:26:40,320 --> 00:26:44,540
+دائما دراسة مستفيدة لل data أو ال contents اللي
+
+329
+00:26:44,540 --> 00:26:50,060
+موجودة عندي في كل ال data set طيب إيش الحل؟كيف
+
+330
+00:26:50,060 --> 00:26:53,340
+بدنا نشوف طبعا هذه إشارات عندي طبعا في عندي طريقة
+
+331
+00:26:53,340 --> 00:27:00,120
+تانية كمان ممكن أنا أروح أشتغل عليها لو أنا قلت
+
+332
+00:27:00,120 --> 00:27:03,200
+هذه ال attributes equal اللي هي ال list تبعتنا
+
+333
+00:27:03,200 --> 00:27:08,580
+اللي فوق خليني بس أنسخها بدل ما إيش أكتب من تاني
+
+334
+00:27:08,580 --> 00:27:11,760
+okay
+
+335
+00:27:15,030 --> 00:27:17,410
+هو عاد تظهر وضالة في ال list يعني اوى المشكلة في
+
+336
+00:27:17,410 --> 00:27:21,930
+الموضوع لأ بدى أعدل عليها ال label أنا مش بحاجة
+
+337
+00:27:21,930 --> 00:27:27,030
+ألاقله okay هذه مجموعة ال attributes اللى موجودة
+
+338
+00:27:27,030 --> 00:27:31,790
+عندى فانا بدى أروح أعمل .. بدى أرسم figure هي plot
+
+339
+00:27:31,790 --> 00:27:41,070
+blt.figure حجم ال figure قديش هي big size
+
+340
+00:27:44,660 --> 00:27:52,600
+مثلًا دعوني اختار اشرين عشرة تمام الفيجور هذا
+
+341
+00:27:52,600 --> 00:27:59,040
+يحتاج ال data دي of attributes اللي هم الخمسة
+
+342
+00:27:59,040 --> 00:28:02,840
+attributes اللي موجودة عندىطبعا ال label اللي احنا
+
+343
+00:28:02,840 --> 00:28:09,200
+بدناه هي nominal لانها مرتسمش تمام او بدي اروح dot
+
+344
+00:28:09,200 --> 00:28:12,940
+attributes
+
+345
+00:28:12,940 --> 00:28:20,700
+dot box plot
+
+346
+00:28:20,700 --> 00:28:24,500
+ال box plot يا جماعة الخير هذه عبارة عشان تحدد ال
+
+347
+00:28:24,500 --> 00:28:30,870
+outlier اللي موجودعندي ممكن اضع للرسمة title blt
+
+348
+00:28:30,870 --> 00:28:34,290
+.title هذا الكلام ممكن يلزمني في شرح التسجيل
+
+349
+00:28:34,290 --> 00:28:38,070
+الجديد اللي هو ايش اللي له علاقة بال visualisation
+
+350
+00:28:38,070 --> 00:28:47,650
+iris attributes وفي
+
+351
+00:28:47,650 --> 00:28:54,350
+الآخر بدي اروح اقول له show للرسم اللي موجود عندي
+
+352
+00:28:54,350 --> 00:29:02,760
+و runأها تمام لاحظوا معايا الآن هذه الرسمة جاب لي
+
+353
+00:29:02,760 --> 00:29:07,280
+ال data طبعا واضح بقول ال data ال range تبعي
+
+354
+00:29:07,280 --> 00:29:10,540
+المسموح فيه ال outlier المسموح فيه اللي هو داخل
+
+355
+00:29:10,540 --> 00:29:12,980
+المربعات السوداء طبعا اللي دول من الخطوط السوداء
+
+356
+00:29:12,980 --> 00:29:15,240
+طبعا إحنا لما نرس ال outlier لاحظ أن ان شاء الله
+
+357
+00:29:15,240 --> 00:29:19,580
+تعالى هنفهم الكلام بشكل كويس بشكل أحسن لكن واضح أن
+
+358
+00:29:19,580 --> 00:29:23,600
+هذه outlier وهذه outlier لأنهم بعاد تماما هذه جاي
+
+359
+00:29:23,600 --> 00:29:26,400
+مع ال fit خليني طبعا لو أنا بدى أغير القيمتين هذول
+
+360
+00:29:26,610 --> 00:29:29,450
+القيمتين هدول احنا شوفناهم عاملنا وهي هذه سالب
+
+361
+00:29:29,450 --> 00:29:35,110
+تلاتة وهذه سبعة وخمسين سبعة وخمسين تمام طيب بدنا
+
+362
+00:29:35,110 --> 00:29:37,970
+الان نشوف كيف بدي اتعامل مع ال noise data اللي
+
+363
+00:29:37,970 --> 00:29:42,410
+موجودة مع ال noise data بدنا ننتقل و نكتب code
+
+364
+00:29:42,410 --> 00:29:44,510
+نشوف كيف بدي اتعامل أو بدي اتخلص من ال code مع ال
+
+365
+00:29:44,510 --> 00:29:46,430
+noise data اللي موجودة
+
+366
+00:29:50,740 --> 00:29:54,560
+طيب أول حاجة انا بدي أعرف الـ 57 هذه اللي في الـ
+
+367
+00:29:54,560 --> 00:29:57,140
+attribute الأول جاية في أي يارو عشان أحد فوق أو
+
+368
+00:29:57,140 --> 00:30:00,060
+أروح أعدلها أو ما شابه أنا okay بعرف في العمود
+
+369
+00:30:00,060 --> 00:30:06,160
+الأول لكن في أي يارو ما بعرف تمام determine the
+
+370
+00:30:06,160 --> 00:30:08,620
+noise value
+
+371
+00:30:12,090 --> 00:30:17,050
+location أو بين قصين الـ Raw الان عشان احدد ال Raw
+
+372
+00:30:17,050 --> 00:30:21,310
+اللى موجود او اللى فيه ال data طبعا انا عندى ال
+
+373
+00:30:21,310 --> 00:30:24,190
+data و انا بعرف انه موجود في ال attribute الأول
+
+374
+00:30:24,190 --> 00:30:29,950
+فانا بروح بقوله اديني ال Raw وين ان ال attribute
+
+375
+00:30:29,950 --> 00:30:36,610
+عفوا a1 equal
+
+376
+00:30:36,610 --> 00:30:42,930
+57 ايش اللى انا سويته هناهنا روحت و قلت له انا بدي
+
+377
+00:30:42,930 --> 00:30:51,890
+ال raw ال raw اللي فيه a1 equal 57 a1 لاحظوا انا
+
+378
+00:30:51,890 --> 00:30:54,510
+باعتمادي على ال data طبعا هو لو كان فيه اكتر من
+
+379
+00:30:54,510 --> 00:30:58,450
+واحد شو حصير هيديني ال rows اللي موجودة عندهم فراح
+
+380
+00:30:58,450 --> 00:31:02,490
+قال لي ال raw 113 هي ال raw 113 طبعا هنقول لكم يا
+
+381
+00:31:02,490 --> 00:31:07,590
+جماعة الخيرة معالجة ال noise dataغالبا manual طبعا
+
+382
+00:31:07,590 --> 00:31:11,430
+ال data preparation معظمها manual تمام وبالتحديد
+
+383
+00:31:11,430 --> 00:31:14,930
+ال noise ذاته انا حددتها الآن معناته لو كان في عند
+
+384
+00:31:14,930 --> 00:31:18,050
+أكتر من روح أكتر من روح هتكون موجودة عندى يعني لو
+
+385
+00:31:18,050 --> 00:31:21,950
+على سبيل المثال على سبيل المثال بدي انا اروح اكتب
+
+386
+00:31:21,950 --> 00:31:27,950
+code مشابه لل code هذا بس من باب العلم
+
+387
+00:31:27,950 --> 00:31:37,550
+يعني اروح اقوله A5 بدأ تساوي تلاتة مثلاوHierarchy
+
+388
+00:31:38,640 --> 00:31:41,420
+لاحظوا الداني القائمة وبالتالي انا بدي اعمل
+
+389
+00:31:41,420 --> 00:31:45,540
+handling لكل واحد من هدول بشكل مستقل لما يكونوا
+
+390
+00:31:45,540 --> 00:31:47,920
+لكن هدول انا مابيهمنيش انا اللي بيهمني هال 113
+
+391
+00:31:47,920 --> 00:31:52,040
+تمام طب مع ال 113 هذا شو انا بدي اروح اساوي الان
+
+392
+00:31:52,040 --> 00:31:54,760
+بدي اعدل ال value الان هذا ال value مكتوب يا جماعة
+
+393
+00:31:54,760 --> 00:32:00,600
+الخير 57 57 القياسات اللي موجودة عندي للزحرة هي في
+
+394
+00:32:00,600 --> 00:32:06,260
+نفس ال attribute 5.6 6.5 5.7 5.6 5.7 5.6 5.7 5.7 5
+
+395
+00:32:06,260 --> 00:32:08,580
+.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7
+
+396
+00:32:08,580 --> 00:32:11,250
+5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7بدها تدخل خطأ 57
+
+397
+00:32:11,250 --> 00:32:17,830
+بينما هي لازم تكون 5.7 وانا لأ اخفيكم فعليا هي
+
+398
+00:32:17,830 --> 00:32:20,990
+كانت ال value هيك لكن انا اتعمدت ان اعملها هيك
+
+399
+00:32:20,990 --> 00:32:24,690
+عشان يصير في عندي noise data وانا اشتغل عليها طيب
+
+400
+00:32:24,690 --> 00:32:27,070
+ايش الحل الآن انا صرت بعرف هي موجودة في اي
+
+401
+00:32:27,070 --> 00:32:31,470
+attribute وموجودة في اي row بقدر انا اروح اعدل ال
+
+402
+00:32:31,470 --> 00:32:35,370
+value فبروح انا بقول D.ilocationعن طريق الـ index
+
+403
+00:32:35,370 --> 00:32:38,010
+location عندما أتكلم عن ال index location يحتاجون
+
+404
+00:32:38,010 --> 00:32:41,430
+مني شغلين يحتاجون مني ال raw ويحتاجون مني ال
+
+405
+00:32:41,430 --> 00:32:46,550
+attribute ال attribute رقم واحد يعني صفر تمام ال
+
+406
+00:32:46,550 --> 00:32:51,690
+attribute رقم واحد يعني صفر تساوي خمسة point سبعة
+
+407
+00:32:51,690 --> 00:32:53,430
+تمام
+
+408
+00:32:59,050 --> 00:33:05,290
+تغيرت القيمة اللى موجودة عندى هنا للـ 5.7 تمام يا
+
+409
+00:33:05,290 --> 00:33:07,770
+شباب مافيش مشكلة ان شاء الله بس عشان اعيد الرسمة
+
+410
+00:33:07,770 --> 00:33:11,250
+مرة واحدة ونفس الكلام هنا انا الان بدى اشوف وين
+
+411
+00:33:11,250 --> 00:33:14,850
+السالب تلاتة السالب تلاتة كانت في العمود التالي
+
+412
+00:33:14,850 --> 00:33:20,930
+مصبوط انا هروح اقوله اتنينطبعا انا بس بدى اكتبها
+
+413
+00:33:20,930 --> 00:33:24,430
+بصيغة تانية اقل من صفر عشان اقولكوا ان انا ممكن
+
+414
+00:33:24,430 --> 00:33:28,650
+اكتب اي condition بديها وهي run فجالة هي عندك سالب
+
+415
+00:33:28,650 --> 00:33:32,130
+تلاتة أو واحدة فقط في الرومية واربعة فنفس الكلام
+
+416
+00:33:32,130 --> 00:33:35,590
+هروح هنا هقوله d.ilocation
+
+417
+00:33:37,240 --> 00:33:41,900
+I location 104 الـ role اللي موجود عندي و ال
+
+418
+00:33:41,900 --> 00:33:45,820
+attribute التاني يعني ال index رقم واحد تبعته
+
+419
+00:33:45,820 --> 00:33:50,300
+equal تلاتة سالب تلاتة و القياسات كلها لو طلعت خط
+
+420
+00:33:50,300 --> 00:33:54,160
+نظرة سريعة هنا كل القياسات حوالين بعضها معناته هي
+
+421
+00:33:54,160 --> 00:33:59,820
+تلاتة والسالب كانت خطأ موجود عندي وهي run عشان
+
+422
+00:33:59,820 --> 00:34:03,040
+اتأكد ان الأمور تمام بدّيش اروح بده اروح اعيد
+
+423
+00:34:04,290 --> 00:34:09,010
+الرسمة اللى موجودة عندى هان و اشوف كيف وضع ال data
+
+424
+00:34:09,010 --> 00:34:13,510
+اللى ظهرت معايا او كيف اتغيرت الرسمة اها اختلفت
+
+425
+00:34:13,510 --> 00:34:18,270
+الرسمة تماما الان و بقوللي انه في ايه اتنين عندى
+
+426
+00:34:18,270 --> 00:34:22,990
+بعض ال outliers لكنهم هنقول مش extreme outliers هم
+
+427
+00:34:22,990 --> 00:34:28,810
+جراب جدا بينما دي شفتوا كيف اختلفت الرسمتينمع الـ
+
+428
+00:34:28,810 --> 00:34:31,110
+values اللي موجودة هنا و ال values اللي موجودة هنا
+
+429
+00:34:31,110 --> 00:34:34,110
+صارت الآن صار في عندي range واضح لل data اللي
+
+430
+00:34:34,110 --> 00:34:39,470
+موجودة عندنا تمام okay الان انا بدي ايش خلصت من
+
+431
+00:34:39,470 --> 00:34:42,190
+جزئية ال data و طبعا ممكن لو انا بدي هدول كمان
+
+432
+00:34:42,190 --> 00:34:45,410
+احلهم فانا بروح بحاول بعمل estimation لل values
+
+433
+00:34:45,410 --> 00:34:49,430
+واضح ان ال values هذي الاكبر من اربعة و اللي اقل
+
+434
+00:34:49,430 --> 00:34:53,090
+من اتنين و نص في عندي value اقل من اتنين و نص و
+
+435
+00:34:53,090 --> 00:34:55,730
+هدول اربعة اقل من اربعة يعني ممكن انا اروح اسويهم
+
+436
+00:34:55,730 --> 00:35:05,410
+كتالياروح اجي هاخد ال raw هان Ctrl C هاروح اقوله
+
+437
+00:35:05,410 --> 00:35:14,510
+اقل من اتنين و نص و كمان واحدة اكبر من اربع او
+
+438
+00:35:14,510 --> 00:35:20,410
+بلاش خلينا ناخد الاكبر من اربع اكبرمن أربعة وهي
+
+439
+00:35:20,410 --> 00:35:24,070
+run اللي فيه عندى أكبر من أربعة اللي هي اربعة
+
+440
+00:35:24,070 --> 00:35:26,690
+وأربعة اربعة point واحد اربعة point اتنين هدول ال
+
+441
+00:35:26,690 --> 00:35:29,430
+rows اللي موجودين ممكن انا اعملهم handling ممكن
+
+442
+00:35:29,430 --> 00:35:31,790
+اروح اعملهم drop اروح اتأكد من ال values اللي
+
+443
+00:35:31,790 --> 00:35:36,190
+موجودة عندى طبعا كل واحدة بدها تمشغل بشكل مستقل
+
+444
+00:35:36,190 --> 00:35:40,230
+بشكل مستقل طيب انا مابديش اشتغل عليهم لكن هي
+
+445
+00:35:40,230 --> 00:35:43,450
+الفكرة واحدة ان شاء الله طيب ضال اخر شغلة عندى او
+
+446
+00:35:43,450 --> 00:35:46,350
+شغلة قبل اخيرة لما انا بدى اشتغل على موضوع ال
+
+447
+00:35:46,350 --> 00:35:49,100
+correlation انا ال data موجودة عندىوالـ attributes
+
+448
+00:35:49,100 --> 00:35:52,200
+اللى عندى كلها numeric معناته انا بدى اطبق ال
+
+449
+00:35:52,200 --> 00:35:57,120
+correlation فى عندى method اسمها dot correlation
+
+450
+00:35:57,120 --> 00:36:00,660
+شوفى
+
+451
+00:36:00,660 --> 00:36:05,440
+مسح ال command run راح حسب ال person ال
+
+452
+00:36:05,440 --> 00:36:09,120
+correlation وقالي والله هى ال attributes اللى عندك
+
+453
+00:36:10,330 --> 00:36:15,530
+لكن واضح ان في عندى على طبعا القطر جماعة الخير
+
+454
+00:36:15,530 --> 00:36:19,330
+المفروض كله يكون ايش واحد لأن ال attribute مع نفسه
+
+455
+00:36:19,330 --> 00:36:23,850
+واحد ال attribute الأول والتاني مافيش dependency
+
+456
+00:36:23,850 --> 00:36:29,550
+مطلقا الأول والتالت فوق الخمس فوق التمانين الأول
+
+457
+00:36:29,550 --> 00:36:33,530
+والرابع فوق التمانين الأول والخامس فوق التمانين
+
+458
+00:36:33,530 --> 00:36:43,250
+لكن الرابعالثالث والخامس 95% التالت والرابع 95%
+
+459
+00:36:43,250 --> 00:36:49,510
+الرابع والخامس 99% طيب الان بس انا بدي احذف واحد
+
+460
+00:36:49,510 --> 00:36:52,850
+من ال correlation اللي هو الخامس هذا طب انا بدي
+
+461
+00:36:52,850 --> 00:36:54,750
+اقول ان والله ال attributes اللي عندى ال
+
+462
+00:36:54,750 --> 00:36:58,530
+correlation تبعته فوق فوق ال 97% هي اللي بدي
+
+463
+00:36:58,530 --> 00:37:03,190
+احذفها انتوا بالمثال كان عندكوا فوق ال 80% الان
+
+464
+00:37:03,190 --> 00:37:08,980
+اجيب في الواجبالان يا جماعة الخير لهذا الكلام ليش؟
+
+465
+00:37:08,980 --> 00:37:14,000
+لأن انا فعليا فعليا ال attribute الخامس هو عبارة
+
+466
+00:37:14,000 --> 00:37:17,840
+كان عن واحد و نص بحاصل ضرب ال value اللى موجودة
+
+467
+00:37:17,840 --> 00:37:21,580
+تعالى احسبها انت هيك واحد و نص في
+
+468
+00:37:24,940 --> 00:37:30,300
+1.5 4 6 1.5 هنتلقى طبعا صار في بعض التغييرات على
+
+469
+00:37:30,300 --> 00:37:35,560
+ال values 1 2 1.5 الفكرة انه انا طبعا عملت
+
+470
+00:37:35,560 --> 00:37:37,580
+roundation لل values اللي موجود عشان يصير فيه
+
+471
+00:37:37,580 --> 00:37:40,860
+اختلاف ماتصيرش يعني مية في المية فجاله هو بس واضح
+
+472
+00:37:40,860 --> 00:37:44,020
+ان ال value تسعة تلت تسعات يعني وكانها واحد طب ايش
+
+473
+00:37:44,020 --> 00:37:46,760
+الحال اوكي ال attribute هذا انا بده احدفه كيف بده
+
+474
+00:37:46,760 --> 00:37:49,500
+اروح احدف ال attribute كيف بده احدف ال attribute
+
+475
+00:37:49,500 --> 00:37:50,180
+يا جماعة الخير
+
+476
+00:37:54,700 --> 00:38:00,440
+قلنا فيه نقطة رقتين اللي حد في ال attribute بس
+
+477
+00:38:00,440 --> 00:38:07,800
+هذا مع ال null أول حدفنا ال attribute الأول drop
+
+478
+00:38:07,800 --> 00:38:18,700
+او ال function اسمها drop drop
+
+479
+00:38:18,700 --> 00:38:22,160
+a5 replace
+
+480
+00:38:24,110 --> 00:38:30,040
+وارح أقول له أحسب الـ correlationمرة تانية هى run
+
+481
+00:38:30,040 --> 00:38:34,700
+ممتاز هى جالي ال data طار ال attribute و ال
+
+482
+00:38:34,700 --> 00:38:38,340
+correlation طبعا هذه من الأصل انها ماتتغيرش لكن
+
+483
+00:38:38,340 --> 00:38:43,660
+الحسبة بتظل نوعا ما فيها خلفات بالنسبة للكل طيب
+
+484
+00:38:43,660 --> 00:38:46,500
+خلصنا الان في موضوع ال correlation شوفنا موضوع ال
+
+485
+00:38:46,500 --> 00:38:49,660
+data تظل اخر جزئية كنت انا بدي اعرفها منكم اللى هي
+
+486
+00:38:49,660 --> 00:38:55,360
+جزئية تقسيم ال data ل two different sets و كتبتهم
+
+487
+00:38:55,360 --> 00:39:01,630
+علىالفايل اللي موجود هنا طيب الآن عشان انا اجزم ال
+
+488
+00:39:01,630 --> 00:39:09,750
+data from escalare.model
+
+489
+00:39:09,750 --> 00:39:12,910
+underscore selection
+
+490
+00:39:26,800 --> 00:39:32,640
+هذا الكلس ينفذ استراتيفايد سامبلينج على ال data
+
+491
+00:39:32,640 --> 00:39:37,290
+الموجودةطبعا احنا كنا طلبين منكوا ال data set اللي
+
+492
+00:39:37,290 --> 00:39:39,890
+موجودة عنكم هي ال data أو ال data اللي انتو
+
+493
+00:39:39,890 --> 00:39:43,970
+حملتوها تجسمها بتكلم عشان تفاصيل تانية لحد اللحظة
+
+494
+00:39:43,970 --> 00:39:49,510
+طبعا هدفي إلى استخدام ال train test split هذا ممكن
+
+495
+00:39:49,510 --> 00:39:52,510
+نرجعلي بمجموعتين و ممكن نرجعلي باربعة ممكن نرجعلي
+
+496
+00:39:52,510 --> 00:39:56,090
+بمجموعتين و ممكن نرجعلي باربعة لكن انا بدي اشتغل
+
+497
+00:39:56,090 --> 00:39:59,710
+فقط على نظام مجموعتين و لما بنحتاج الاربعة بنتكلم
+
+498
+00:39:59,710 --> 00:40:07,060
+عليهمفالمجموعة الأولى انا بدي اسميها train set كما
+
+499
+00:40:07,060 --> 00:40:15,560
+تانت test set equal اللي هو اللي .. خليني بس أقوله
+
+500
+00:40:15,560 --> 00:40:23,580
+as طبعا هذه ميزة ال as TTS TTS و TTS هذا اللي هي
+
+501
+00:40:23,580 --> 00:40:28,640
+train test split بياخد مني ال data اللي هي ديهو
+
+502
+00:40:28,640 --> 00:40:35,860
+بياخد مني ال test او ال train size والباقي طبعا
+
+503
+00:40:35,860 --> 00:40:41,600
+بياخد النسبة التالية point تلاتة من عشرة كده انا
+
+504
+00:40:41,600 --> 00:40:45,800
+عالمالي بقوله بدي لل test set حجمها تلاتين في
+
+505
+00:40:45,800 --> 00:40:49,920
+المية من ال data set اللي موجودة عندى ومن ثم انا
+
+506
+00:40:49,920 --> 00:40:54,280
+بدي اروح اتكد هى في عندى ال train والسبعين في
+
+507
+00:40:54,280 --> 00:40:56,280
+المية هتظهر لل train هى train
+
+508
+00:40:59,560 --> 00:41:13,260
+set.head تلاتة و نفس الكلام test set.head تلاتة
+
+509
+00:41:13,260 --> 00:41:18,160
+وهي run هد
+
+510
+00:41:18,160 --> 00:41:22,140
+التاعة 8 فيهم عاد عشان هدول جابهم كل واحد لحال و
+
+511
+00:41:22,140 --> 00:41:23,120
+غالبا هد الأخيرة
+
+512
+00:41:25,690 --> 00:41:28,370
+جالباً هذه الأخيرة بدي أعملهم كل واحدة لحالي بشكل
+
+513
+00:41:28,370 --> 00:41:35,390
+مستقل هاي run هاي
+
+514
+00:41:35,390 --> 00:41:42,590
+ال train set وهي ال test set run
+
+515
+00:41:42,590 --> 00:41:47,090
+طبعاً ادوا ال two different sets موجودة ضل هلجت
+
+516
+00:41:47,090 --> 00:41:50,230
+موضوع ال train set اللي انا اكتبها على ال
+
+517
+00:41:53,880 --> 00:41:58,620
+موضوع كتبتها على ال disk بسيط جدا انا للان في عندي
+
+518
+00:41:58,620 --> 00:42:04,700
+الباندا dot زي ما كنت بقوله read csv بروح بقوله to
+
+519
+00:42:04,700 --> 00:42:14,440
+csv و بديله اسم الملف اي train set
+
+520
+00:42:21,360 --> 00:42:30,340
+tsv .. يا عفو ان هاد ال train set train set run و
+
+521
+00:42:30,340 --> 00:42:36,120
+بقى اخد test set بنفس الكيفية test set dot
+
+522
+00:42:36,120 --> 00:42:40,280
+underscore csv
+
+523
+00:42:44,940 --> 00:42:50,960
+testset.csv run و بهيك احنا بنكون ان شاء الله
+
+524
+00:42:50,960 --> 00:42:54,160
+انتهينا من ال application بس عشان انا اتأكد ممكن
+
+525
+00:42:54,160 --> 00:42:59,260
+اروح ادور على ال files اللي موجودة عندى احنا من
+
+526
+00:42:59,260 --> 00:43:04,730
+الأسماء هو طبعا الأسماء كلها مرتبة ترتيبترين سيت
+
+527
+00:43:04,730 --> 00:43:11,730
+وهي ترين سيت وهي تست سيت الآن seconds ago هاي ال
+
+528
+00:43:11,730 --> 00:43:17,230
+data موجودين ك excel file او ك csv file ان شاء
+
+529
+00:43:17,230 --> 00:43:20,850
+الله بتكون المعلومات سهلة بتعيدوا الفيديو مرة
+
+530
+00:43:20,850 --> 00:43:25,310
+وتنتين بحيث انكوا تستوعبوا وان شاء الله تعالى الله
+
+531
+00:43:25,310 --> 00:43:28,610
+عطيكم العافية والسلام عليكم ورحمة الله وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/cUQb5hESOvo_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/cUQb5hESOvo_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1314ade8a83d1bdbc9abe107bcb2c5d09a4ba10
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/cUQb5hESOvo_raw.json
@@ -0,0 +1 @@
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"word": "عشر", "probability": 0.720947265625}, {"start": 277.74, "end": 278.12, "word": " جيران", "probability": 0.8304036458333334}, {"start": 278.12, "end": 279.0, "word": " حسب", "probability": 0.86083984375}, {"start": 279.0, "end": 279.78, "word": " أغلبيتهم", "probability": 0.9337890625}, {"start": 279.78, "end": 280.22, "word": " الأغلبية", "probability": 0.8553466796875}, {"start": 280.22, "end": 280.44, "word": " طبعا", "probability": 0.80615234375}, {"start": 280.44, "end": 280.76, "word": " بتكلم", "probability": 0.653564453125}, {"start": 280.76, "end": 280.94, "word": " هنا", "probability": 0.81982421875}, {"start": 280.94, "end": 281.1, "word": " على", "probability": 0.904296875}, {"start": 281.1, "end": 281.76, "word": " ستة", "probability": 0.904296875}, {"start": 281.76, "end": 283.24, "word": " الست", "probability": 0.5404052734375}, {"start": 283.24, "end": 283.44, "word": " إيش", "probability": 0.7062174479166666}, {"start": 283.44, "end": 283.98, "word": " بتصنفه", 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"probability": 0.70703125}, {"start": 300.16, "end": 300.34, "word": " اللي", "probability": 0.6697998046875}, {"start": 300.34, "end": 300.44, "word": " أو", "probability": 0.65625}, {"start": 300.44, "end": 300.56, "word": " ال", "probability": 0.87890625}, {"start": 300.56, "end": 300.88, "word": " training", "probability": 0.95654296875}, {"start": 300.88, "end": 301.16, "word": " set", "probability": 0.94091796875}, {"start": 301.16, "end": 301.3, "word": " اللي", "probability": 0.984619140625}, {"start": 301.3, "end": 301.68, "word": " موجودة", "probability": 0.92822265625}, {"start": 301.68, "end": 301.98, "word": " عندى", "probability": 0.846435546875}, {"start": 301.98, "end": 302.14, "word": " هنا", "probability": 0.307861328125}, {"start": 302.14, "end": 303.32, "word": " ممكن", "probability": 0.941650390625}, {"start": 303.32, "end": 303.66, "word": " اعتمد", "probability": 0.86181640625}, {"start": 303.66, "end": 303.78, "word": " ال", "probability": 0.69091796875}, {"start": 303.78, "end": 304.26, "word": " Euclidean", "probability": 0.6500244140625}, {"start": 304.26, "end": 304.48, "word": " او", "probability": 0.724365234375}, {"start": 304.48, "end": 304.58, "word": " ال", "probability": 0.763671875}, {"start": 304.58, "end": 304.96, "word": " Manhattan", "probability": 0.9306640625}], "temperature": 1.0}, {"id": 14, "seek": 32649, "start": 305.79, "end": 326.49, "text": "برتب البيانات وقولنا هذي موضوع الترتيب مش مهم إلا غير لما تكون ال data set كبيرة بصير عليه حصر عليه بسهل عليه أن أحصر العناصر الأقصر ال kenyerist مجموعة العناصر العشرة أصحاب أقصر مسافة ما بين ال sample الموجودين عندها بعمل بينهم voting بحيث أن احدد المجارتين", "tokens": [26890, 2655, 3555, 2423, 21292, 7649, 9307, 4032, 39648, 8315, 8032, 8848, 1829, 3714, 2407, 11242, 45367, 16712, 2288, 31371, 3555, 37893, 3714, 16095, 11933, 15040, 32771, 13546, 5296, 15042, 6055, 30544, 2423, 1412, 992, 9122, 3555, 48923, 4724, 9381, 13546, 47356, 11331, 9381, 2288, 47356, 4724, 3794, 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{"start": 311.45, "end": 311.65, "word": " عليه", "probability": 0.64453125}, {"start": 311.65, "end": 312.29, "word": " حصر", "probability": 0.8072916666666666}, {"start": 312.29, "end": 312.53, "word": " عليه", "probability": 0.92431640625}, {"start": 312.53, "end": 313.07, "word": " بسهل", "probability": 0.8837890625}, {"start": 313.07, "end": 313.27, "word": " عليه", "probability": 0.86767578125}, {"start": 313.27, "end": 313.41, "word": " أن", "probability": 0.54833984375}, {"start": 313.41, "end": 314.11, "word": " أحصر", "probability": 0.878662109375}, {"start": 314.11, "end": 314.91, "word": " العناصر", "probability": 0.895263671875}, {"start": 314.91, "end": 315.61, "word": " الأقصر", "probability": 0.9666748046875}, {"start": 315.61, "end": 316.15, "word": " ال", "probability": 0.70263671875}, {"start": 316.15, "end": 316.93, "word": " kenyerist", "probability": 0.424560546875}, {"start": 316.93, "end": 318.23, "word": " مجموعة", "probability": 0.91728515625}, {"start": 318.23, "end": 318.83, "word": " العناصر", "probability": 0.9737548828125}, {"start": 318.83, "end": 319.41, "word": " العشرة", "probability": 0.9397786458333334}, {"start": 319.41, "end": 320.95, "word": " أصحاب", "probability": 0.873291015625}, {"start": 320.95, "end": 321.31, "word": " أقصر", "probability": 0.9814453125}, {"start": 321.31, "end": 321.81, "word": " مسافة", "probability": 0.9933268229166666}, {"start": 321.81, "end": 321.95, "word": " ما", "probability": 0.93994140625}, {"start": 321.95, "end": 322.17, "word": " بين", "probability": 0.9912109375}, {"start": 322.17, "end": 322.41, "word": " ال", "probability": 0.94873046875}, {"start": 322.41, "end": 322.73, "word": " sample", "probability": 0.61669921875}, {"start": 322.73, "end": 323.29, "word": " الموجودين", "probability": 0.89990234375}, {"start": 323.29, "end": 323.69, "word": " عندها", "probability": 0.6458740234375}, {"start": 323.69, "end": 324.43, "word": " بعمل", "probability": 0.9073893229166666}, {"start": 324.43, "end": 324.77, "word": " بينهم", "probability": 0.96337890625}, {"start": 324.77, "end": 325.13, "word": " voting", "probability": 0.97216796875}, {"start": 325.13, "end": 325.45, "word": " بحيث", "probability": 0.9332275390625}, {"start": 325.45, "end": 325.57, "word": " أن", "probability": 0.67041015625}, {"start": 325.57, "end": 325.89, "word": " احدد", "probability": 0.780517578125}, {"start": 325.89, "end": 326.49, "word": " المجارتين", "probability": 0.89052734375}], "temperature": 1.0}, {"id": 15, "seek": 35206, "start": 326.68, "end": 352.06, "text": "وشوفنا ال example الموجود هنا وكيف اشتغلنا على ال Eclidean واذا بتتذكروا المفروض ان المعادلة تبعتنا هذه حسب ال Eclidean distance فيها الجدر التربيعي وطبعا لجماعة الخير لما احنا بنتكلم الجدر التربيعي والجدر التربيعي موجود في كل المعادلات انا من باب المقارنة ممكن انا استغني عنه لأنه الكبير تحت الجدر", "tokens": [2407, 8592, 38688, 8315, 2423, 1365, 9673, 29245, 23328, 34105, 4032, 4117, 33911, 1975, 8592, 2655, 17082, 1211, 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هي أول واحدة ستحصل عليها انت مش مصدق؟ خد ال data set هذه على ال Excel و اعمل لها sort تبعا لل distance و ستجد ان ال attribute هذه ستكون أول attribute موجود عندك تمام؟ لو ال K equal 3 هاي واحد وهي واحد", "tokens": [3224, 24192, 39896, 5551, 12610, 36764, 24401, 3660, 8608, 2655, 5016, 36520, 25894, 11296, 16472, 2655, 37893, 3714, 9381, 3215, 4587, 22807, 16490, 3215, 2423, 1412, 992, 29538, 15844, 2423, 19060, 4032, 1975, 25957, 1211, 5296, 11296, 1333, 6055, 3555, 3615, 995, 24976, 4560, 4032, 8608, 2655, 7435, 3215, 16472, 2423, 19667, 29538, 8608, 2655, 30544, 5551, 12610, 19667, 3714, 29245, 23328, 43242, 4117, 46811, 10943, 22807, 45164, 2423, 591, 2681, 805, 8032, 47302, 36764, 24401, 37037, 1829, 36764, 24401], "avg_logprob": -0.4876543268745328, "compression_ratio": 1.5217391304347827, "no_speech_prob": 0.0, "words": [{"start": 1495.51, "end": 1496.23, "word": "هذه", "probability": 0.8173828125}, {"start": 1496.23, "end": 1496.37, "word": " هي", "probability": 0.37353515625}, 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"end": 1642.11, "word": " Naive", "probability": 0.7225341796875}, {"start": 1642.11, "end": 1642.45, "word": " bias", "probability": 0.73486328125}, {"start": 1642.45, "end": 1642.67, "word": " هو", "probability": 0.841796875}, {"start": 1642.67, "end": 1643.13, "word": " عبارة", "probability": 0.9971923828125}, {"start": 1643.13, "end": 1643.39, "word": " عن", "probability": 0.99560546875}, {"start": 1643.39, "end": 1644.19, "word": " very", "probability": 0.07733154296875}, {"start": 1644.19, "end": 1644.97, "word": " fast", "probability": 0.82080078125}, {"start": 1644.97, "end": 1645.65, "word": " model", "probability": 0.939453125}, {"start": 1645.65, "end": 1646.67, "word": " وsimple", "probability": 0.68896484375}, {"start": 1646.67, "end": 1647.39, "word": " classification", "probability": 0.79248046875}, {"start": 1647.39, "end": 1647.55, "word": " في", "probability": 0.71533203125}, {"start": 1647.55, "end": 1648.09, "word": " نفس", "probability": 0.95703125}, {"start": 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{"start": 1654.61, "end": 1658.33, "word": " لأنه", "probability": 0.6497395833333334}, {"start": 1658.33, "end": 1658.63, "word": " فعليا", "probability": 0.9185791015625}, {"start": 1658.63, "end": 1658.93, "word": " مافيش", "probability": 0.9580078125}, {"start": 1658.93, "end": 1659.13, "word": " فيه", "probability": 0.90625}, {"start": 1659.13, "end": 1659.71, "word": " براميتر", "probability": 0.7342936197916666}, {"start": 1659.71, "end": 1660.03, "word": " لو", "probability": 0.81494140625}, {"start": 1660.03, "end": 1660.35, "word": " كانت", "probability": 0.8935546875}, {"start": 1660.35, "end": 1660.47, "word": " فيه", "probability": 0.786865234375}, {"start": 1660.47, "end": 1660.85, "word": " برامتر", "probability": 0.913671875}, {"start": 1660.85, "end": 1661.25, "word": " موجودة", "probability": 0.9810791015625}, {"start": 1661.25, "end": 1661.53, "word": " مافيش", "probability": 0.752685546875}, {"start": 1661.53, "end": 1661.67, "word": " فيه", "probability": 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"probability": 0.940625}, {"start": 1666.77, "end": 1667.03, "word": " على", "probability": 0.87646484375}, {"start": 1667.03, "end": 1667.59, "word": " ال", "probability": 0.92822265625}, {"start": 1667.59, "end": 1668.57, "word": " probabilistic", "probability": 0.6251220703125}], "temperature": 1.0}, {"id": 69, "seek": 169741, "start": 1669.51, "end": 1697.41, "text": "و بوصف العلاقة ما بين العناصر او ال attributes و ال label بناء على احتمالات خلّينا نيجي نقول اذكركوا بس بالاحتمالات اللي موجودة عندى هان لو كان انا في عندى صندوق بيحتوي على عشر sample 6 plus و 4 minus", "tokens": [2407, 4724, 2407, 9381, 5172, 18863, 15040, 28671, 19446, 49374, 18863, 1863, 33546, 2288, 1975, 2407, 2423, 17212, 4032, 2423, 7645, 44945, 16606, 15844, 1975, 33753, 2304, 6027, 9307, 16490, 1211, 11703, 1829, 8315, 8717, 1829, 7435, 1829, 8717, 39648, 1975, 8848, 37983, 4117, 14407, 4724, 3794, 20666, 995, 33753, 2304, 6027, 9307, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 7578, 8032, 7649, 45164, 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0.8974609375}, {"start": 1680.75, "end": 1680.97, "word": " اللي", "probability": 0.870361328125}, {"start": 1680.97, "end": 1681.45, "word": " موجودة", "probability": 0.98095703125}, {"start": 1681.45, "end": 1681.79, "word": " عندى", "probability": 0.665283203125}, {"start": 1681.79, "end": 1682.09, "word": " هان", "probability": 0.703369140625}, {"start": 1682.09, "end": 1682.61, "word": " لو", "probability": 0.8984375}, {"start": 1682.61, "end": 1682.83, "word": " كان", "probability": 0.970703125}, {"start": 1682.83, "end": 1682.99, "word": " انا", "probability": 0.67333984375}, {"start": 1682.99, "end": 1683.09, "word": " في", "probability": 0.85107421875}, {"start": 1683.09, "end": 1683.37, "word": " عندى", "probability": 0.6884765625}, {"start": 1683.37, "end": 1683.87, "word": " صندوق", "probability": 0.9737955729166666}, {"start": 1683.87, "end": 1684.57, "word": " بيحتوي", "probability": 0.96240234375}, {"start": 1684.57, "end": 1684.89, "word": " على", "probability": 0.8232421875}, {"start": 1684.89, "end": 1685.97, "word": " عشر", "probability": 0.781494140625}, {"start": 1685.97, "end": 1686.45, "word": " sample", "probability": 0.389892578125}, {"start": 1686.45, "end": 1691.87, "word": " 6", "probability": 0.3017578125}, {"start": 1691.87, "end": 1692.39, "word": " plus", "probability": 0.6171875}, {"start": 1692.39, "end": 1695.23, "word": " و", "probability": 0.6767578125}, {"start": 1695.23, "end": 1695.59, "word": " 4", "probability": 0.67529296875}, {"start": 1695.59, "end": 1697.41, "word": " minus", "probability": 0.990234375}], "temperature": 1.0}, {"id": 70, "seek": 172277, "start": 1705.31, "end": 1722.77, "text": "الان بلاش plus خلينا نحق عمود بالشكل هذا لحاجة في بالي يعني الان وجيت قلتلك قداش احتمال انه يطلع معايا plus عشان بس نذكرك بالاحتمالات", "tokens": [6027, 7649, 4724, 1211, 33599, 1804, 16490, 20292, 8315, 8717, 5016, 4587, 6225, 2304, 23328, 20666, 8592, 28820, 23758, 5296, 5016, 26108, 3660, 8978, 20666, 1829, 37495, 22653, 2423, 7649, 49610, 36081, 12174, 1211, 2655, 23275, 12174, 3215, 33599, 1975, 33753, 2304, 6027, 16472, 3224, 7251, 9566, 1211, 3615, 20449, 995, 25528, 1804, 6225, 8592, 7649, 4724, 3794, 8717, 8848, 37983, 4117, 20666, 995, 33753, 2304, 6027, 9307], "avg_logprob": -0.17527173740276392, "compression_ratio": 1.5918367346938775, "no_speech_prob": 0.0, "words": [{"start": 1705.31, "end": 1706.27, "word": "الان", "probability": 0.818603515625}, {"start": 1706.27, "end": 1707.23, "word": " بلاش", "probability": 0.7667643229166666}, {"start": 1707.23, "end": 1707.53, "word": " plus", "probability": 0.81884765625}, {"start": 1707.53, "end": 1707.85, "word": " خلينا", "probability": 0.744873046875}, {"start": 1707.85, "end": 1708.11, "word": " نحق", "probability": 0.83203125}, {"start": 1708.11, "end": 1708.43, "word": " عمود", "probability": 0.8899739583333334}, {"start": 1708.43, "end": 1708.91, "word": " بالشكل", "probability": 0.9469401041666666}, {"start": 1708.91, "end": 1709.93, 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"word": " معايا", "probability": 0.9684244791666666}, {"start": 1720.01, "end": 1720.41, "word": " plus", "probability": 0.96728515625}, {"start": 1720.41, "end": 1721.43, "word": " عشان", "probability": 0.9755859375}, {"start": 1721.43, "end": 1721.59, "word": " بس", "probability": 0.927001953125}, {"start": 1721.59, "end": 1722.01, "word": " نذكرك", "probability": 0.75372314453125}, {"start": 1722.01, "end": 1722.77, "word": " بالاحتمالات", "probability": 0.9070638020833334}], "temperature": 1.0}, {"id": 71, "seek": 175383, "start": 1725.65, "end": 1753.83, "text": "6 على 10 صحيح ال probability تبعت ال plus 6 على 10 و ال probability طبعا عشرة هي حجم ال space اللي انا population اللي انا بقى اشتغل عليها طبعا هذه 4 على 10 الآن في عند مصطلحات زي ال most likely", "tokens": [21, 15844, 1266, 20328, 5016, 1829, 5016, 2423, 8482, 6055, 3555, 34268, 2423, 1804, 1386, 15844, 1266, 4032, 2423, 8482, 23032, 3555, 3615, 995, 6225, 8592, 25720, 39896, 11331, 7435, 2304, 2423, 1901, 13672, 1829, 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probability تبعت ال plus صحيح واحد اتنين تلاتة أربعة خمسة ستة ستة على عشرة بنفس المنطق و ال probability تبعت العمود", "tokens": [10721, 7435, 1829, 5551, 3224, 7649, 15844, 9673, 12984, 6027, 23758, 5551, 7435, 1829, 5551, 39648, 8978, 18871, 16254, 1804, 8608, 23328, 3660, 39896, 9381, 9640, 3714, 31377, 6027, 6225, 8592, 25720, 4032, 9381, 9640, 8978, 18871, 16254, 6225, 2304, 23328, 5551, 5016, 29973, 20449, 8315, 47395, 14739, 16247, 1863, 2423, 8482, 6055, 3555, 34268, 2423, 1804, 20328, 5016, 1829, 5016, 36764, 24401, 1975, 2655, 1863, 9957, 6055, 1211, 9307, 3660, 5551, 25513, 27884, 16490, 2304, 3794, 3660, 8608, 2655, 3660, 8608, 2655, 3660, 15844, 6225, 8592, 25720, 44945, 36178, 9673, 1863, 9566, 4587, 4032, 2423, 8482, 6055, 3555, 34268, 18863, 2304, 23328], "avg_logprob": -0.19516225932882383, "compression_ratio": 1.8472906403940887, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1909.59, "end": 1909.97, "word": "أجي", "probability": 0.6201985677083334}, 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"start": 2152.67, "end": 2168.11, "text": "الـ Probability لـ X على ال class الـ likelihood اللي هي فعليا الاحتمال اللي أنا بدور عليه وهو عبارة عن summation سنشوفها قليلا الان Probability تبع ال class نفسه ال prior اللي موجود عندي هنا", "tokens": [6027, 39184, 8736, 2310, 5296, 39184, 1783, 15844, 2423, 1508, 2423, 39184, 22119, 13672, 1829, 39896, 6156, 3615, 20292, 995, 42963, 33753, 2304, 6027, 13672, 1829, 41850, 47525, 13063, 47356, 37037, 2407, 6225, 3555, 9640, 3660, 18871, 28811, 8608, 1863, 8592, 38688, 11296, 12174, 20292, 15040, 2423, 7649, 8736, 2310, 6055, 3555, 3615, 2423, 1508, 8717, 36178, 3224, 2423, 4059, 13672, 1829, 3714, 29245, 23328, 43242, 1829, 34105], "avg_logprob": -0.411911231884058, "compression_ratio": 1.564516129032258, "no_speech_prob": 2.980232238769531e-07, "words": [{"start": 2152.67, "end": 2152.93, "word": "الـ", "probability": 0.301513671875}, {"start": 2152.93, "end": 2153.43, "word": " Probability", "probability": 0.86572265625}, {"start": 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الرياضية هت غم الأمور علينا لأن احنا في جماعة هنا على غرار الناس اللي كانت بدت تلعب golf قررت تروح على البحر على الشط", "tokens": [2407, 2423, 1783, 2423, 6069, 284, 2423, 8482, 13672, 1829, 1975, 8315, 6156, 3615, 20292, 995, 4724, 16254, 1975, 8592, 38688, 11296, 37279, 6027, 7578, 8717, 8592, 38688, 3224, 6225, 8592, 7649, 8717, 5172, 16095, 2423, 28820, 10943, 23758, 4032, 9673, 3615, 18513, 37977, 9154, 8717, 39319, 10632, 11331, 3794, 16758, 5296, 28814, 1863, 13412, 2407, 10632, 16247, 2304, 13063, 45164, 47525, 2655, 6055, 3555, 4587, 7578, 8978, 9673, 3615, 18513, 1211, 9307, 2423, 16572, 46958, 10632, 8032, 2655, 32771, 2304, 16247, 2304, 13063, 25894, 8315, 5296, 33456, 1975, 5016, 8315, 8978, 10874, 15042, 27884, 34105, 15844, 32771, 2288, 9640, 2423, 8315, 3794, 13672, 1829, 25961, 2655, 47525, 2655, 6055, 1211, 3615, 3555, 12880, 12174, 2288, 43500, 6055, 32887, 5016, 15844, 29739, 5016, 2288, 15844, 25124, 9566], "avg_logprob": -0.1890869199996814, "compression_ratio": 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تنتين تلاتة تلاتة عناصر التلاتة عناصر هدول يتوزعوا ما بين ال yes و ال no", "tokens": [1771, 4032, 572, 20449, 8315, 47395, 20328, 5172, 2288, 15844, 5551, 25513, 27884, 4032, 1975, 2655, 1863, 9957, 15844, 8608, 2655, 3660, 20449, 2423, 572, 23032, 1829, 3555, 16490, 1211, 9381, 8315, 9154, 2423, 9154, 2423, 2295, 2423, 15154, 2423, 15154, 39896, 36764, 24401, 3660, 6055, 29399, 9957, 6055, 1211, 9307, 3660, 6055, 1211, 9307, 3660, 18871, 33546, 2288, 16712, 1211, 9307, 3660, 18871, 33546, 2288, 8032, 3215, 12610, 7251, 2655, 2407, 11622, 3615, 14407, 19446, 49374, 2423, 2086, 4032, 2423, 572], "avg_logprob": -0.224962348320398, "compression_ratio": 1.7530120481927711, "no_speech_prob": 0.0, "words": [{"start": 2535.25, "end": 2535.57, "word": "no", "probability": 0.27392578125}, {"start": 2535.57, "end": 2535.77, "word": " و", "probability": 0.353515625}, {"start": 2535.77, "end": 2535.89, "word": " no", "probability": 0.818359375}, {"start": 2535.89, "end": 2536.33, "word": " 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"probability": 0.9947916666666666}, {"start": 2623.12, "end": 2623.58, "word": " فقط", "probability": 0.9931640625}, {"start": 2623.58, "end": 2624.12, "word": " و", "probability": 0.87353515625}, {"start": 2624.12, "end": 2624.54, "word": " هتظل", "probability": 0.70599365234375}, {"start": 2624.54, "end": 2624.72, "word": " ال", "probability": 0.9169921875}, {"start": 2624.72, "end": 2624.9, "word": " data", "probability": 0.9541015625}, {"start": 2624.9, "end": 2624.96, "word": " ..", "probability": 0.2509765625}, {"start": 2624.96, "end": 2625.06, "word": " و", "probability": 0.63134765625}, {"start": 2625.06, "end": 2625.2, "word": " لما", "probability": 0.783447265625}, {"start": 2625.2, "end": 2625.3, "word": " ال", "probability": 0.98828125}, {"start": 2625.3, "end": 2625.44, "word": " data", "probability": 0.95947265625}, {"start": 2625.44, "end": 2625.7, "word": " set", "probability": 0.9736328125}, {"start": 2625.7, "end": 2626.18, "word": " ماصارش", "probability": 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ارجع معاكم للجدول السابق تم ذكرك في المعادلة المعادلة بتقول الارج ماكس لا لل CI اللي هي ال class ال probability لل CI مضروبة في ال probability لا ال X على ال CI طيب هلأ قد بنفسرلك إياها أوضح و بنفسرك إياها أوضح مع الأرقام نرجع هنا ال probability لل class", "tokens": [3615, 8592, 7649, 4724, 16254, 1975, 47341, 3615, 20449, 995, 24793, 24976, 7435, 3215, 12610, 21136, 16758, 4587, 46811, 29910, 37983, 4117, 8978, 9673, 3615, 18513, 37977, 9673, 3615, 18513, 37977, 39894, 39648, 2423, 9640, 7435, 19446, 4117, 3794, 20193, 24976, 37777, 13672, 1829, 39896, 2423, 1508, 2423, 8482, 24976, 37777, 3714, 11242, 32887, 49401, 8978, 2423, 8482, 20193, 2423, 1783, 15844, 2423, 37777, 23032, 1829, 3555, 8032, 1211, 10721, 12174, 3215, 44945, 36178, 2288, 23275, 11933, 25528, 11296, 34051, 11242, 5016, 4032, 44945, 36178, 2288, 4117, 11933, 25528, 11296, 34051, 11242, 5016, 20449, 16247, 2288, 4587, 10943, 8717, 47341, 3615, 34105, 2423, 8482, 24976, 1508], "avg_logprob": -0.2688376045672693, 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"probability": 0.7078857421875}, {"start": 2699.48, "end": 2701.0, "word": " عندي؟", "probability": 0.6525065104166666}, {"start": 2701.0, "end": 2701.18, "word": " عندي", "probability": 0.7042236328125}, {"start": 2701.18, "end": 2701.34, "word": " two", "probability": 0.8466796875}, {"start": 2701.34, "end": 2701.8, "word": " classes", "probability": 0.94873046875}, {"start": 2701.8, "end": 2702.24, "word": " يعني", "probability": 0.874267578125}, {"start": 2702.24, "end": 2702.42, "word": " بين", "probability": 0.7431640625}, {"start": 2702.42, "end": 2702.74, "word": " جثين", "probability": 0.59228515625}, {"start": 2702.74, "end": 2703.02, "word": " الجامعة", "probability": 0.7994791666666666}, {"start": 2703.02, "end": 2703.28, "word": " الخير", "probability": 0.966552734375}, {"start": 2703.28, "end": 2703.42, "word": " هو", "probability": 0.65478515625}, {"start": 2703.42, "end": 2703.72, "word": " عمال", "probability": 0.9021809895833334}, {"start": 2703.72, "end": 2704.46, "word": " بيسألني", "probability": 0.8111979166666666}, {"start": 2704.46, "end": 2705.2, "word": " بيسألني", "probability": 0.8749186197916666}, {"start": 2705.2, "end": 2705.6, "word": " ال", "probability": 0.58544921875}, {"start": 2705.6, "end": 2706.24, "word": " probability", "probability": 0.93212890625}, {"start": 2706.24, "end": 2707.22, "word": " تبعت", "probability": 0.8658854166666666}, {"start": 2707.22, "end": 2707.68, "word": " ال", "probability": 0.953125}, {"start": 2707.68, "end": 2708.08, "word": " element", "probability": 0.97900390625}, {"start": 2708.08, "end": 2708.3, "word": " اللي", "probability": 0.878173828125}, {"start": 2708.3, "end": 2708.68, "word": " موجود", "probability": 0.9480794270833334}, {"start": 2708.68, "end": 2709.12, "word": " عندها", "probability": 0.5185546875}, {"start": 2709.12, "end": 2710.8, "word": " على", "probability": 0.61669921875}, {"start": 2710.8, "end": 2711.14, "word": " انه", "probability": 0.8232421875}, {"start": 2711.14, "end": 2711.4, "word": " يكون", "probability": 0.919189453125}, {"start": 2711.4, "end": 2711.56, "word": " ال", "probability": 0.91357421875}, {"start": 2711.56, "end": 2712.04, "word": " class", "probability": 0.96240234375}, {"start": 2712.04, "end": 2713.06, "word": " و", "probability": 0.55322265625}, {"start": 2713.06, "end": 2713.16, "word": " ال", "probability": 0.95751953125}, {"start": 2713.16, "end": 2713.54, "word": " instance", "probability": 0.97216796875}, {"start": 2713.54, "end": 2713.8, "word": " اللي", "probability": 0.97119140625}, {"start": 2713.8, "end": 2714.16, "word": " اعطاني", "probability": 0.8373046875}, {"start": 2714.16, "end": 2714.52, "word": " اياها", "probability": 0.7113444010416666}], "temperature": 1.0}, {"id": 109, "seek": 274410, "start": 2717.24, "end": 2744.1, "text": "مش قولنا هذه اللي أنا بدور عليها قاعد؟ هاي ال value هو بدي تجيبلي ال probability تبعت ال class مع ال given instance اللي موجودة عندي هنا طيب، الآن حسب ال data set معناته أنا بدي أروح أشتغل كتالي مرة مع ال yes و مرة مع انه هذا الكلام بيقول ايه؟ ال probability مع ال yes ال label مع مين؟ مع ال given data set ال sunny", "tokens": [2304, 8592, 12174, 12610, 8315, 29538, 13672, 1829, 41850, 47525, 13063, 25894, 11296, 12174, 995, 22488, 22807, 8032, 47302, 2423, 2158, 31439, 4724, 16254, 6055, 7435, 1829, 3555, 20292, 2423, 8482, 6055, 3555, 34268, 2423, 1508, 20449, 2423, 2212, 5197, 13672, 1829, 3714, 29245, 23328, 3660, 18871, 16254, 34105, 23032, 1829, 3555, 12399, 6024, 48506, 11331, 35457, 2423, 1412, 992, 20449, 8315, 47395, 41850, 4724, 16254, 5551, 32887, 5016, 5551, 8592, 2655, 17082, 1211, 9122, 2655, 6027, 1829, 3714, 25720, 20449, 2423, 2086, 4032, 3714, 25720, 20449, 16472, 3224, 23758, 2423, 28820, 10943, 4724, 1829, 39648, 1975, 1829, 3224, 22807, 2423, 8482, 20449, 2423, 2086, 2423, 7645, 20449, 3714, 9957, 22807, 20449, 2423, 2212, 1412, 992, 2423, 20412], "avg_logprob": -0.21769957357094066, "compression_ratio": 1.8195488721804511, "no_speech_prob": 0.0, "words": [{"start": 2717.24, "end": 2717.48, "word": "مش", "probability": 0.57647705078125}, {"start": 2717.48, "end": 2717.68, "word": " قولنا", "probability": 0.569580078125}, {"start": 2717.68, "end": 2717.88, "word": " هذه", "probability": 0.478759765625}, {"start": 2717.88, "end": 2717.98, "word": " اللي", "probability": 0.94482421875}, {"start": 2717.98, "end": 2718.1, "word": " أنا", "probability": 0.65869140625}, {"start": 2718.1, "end": 2718.46, "word": " بدور", "probability": 0.91650390625}, {"start": 2718.46, "end": 2718.76, "word": " عليها", "probability": 0.987060546875}, {"start": 2718.76, "end": 2719.52, "word": " قاعد؟", "probability": 0.7347412109375}, {"start": 2719.52, "end": 2719.74, "word": " هاي", "probability": 0.5040283203125}, {"start": 2719.74, "end": 2719.84, "word": " ال", "probability": 0.9619140625}, {"start": 2719.84, "end": 2720.12, "word": " value", "probability": 0.9228515625}, {"start": 2720.12, "end": 2720.84, "word": " هو", "probability": 0.78857421875}, {"start": 2720.84, "end": 2721.18, "word": " بدي", "probability": 0.718505859375}, {"start": 2721.18, "end": 2721.56, "word": " تجيبلي", "probability": 0.90556640625}, {"start": 2721.56, "end": 2721.66, "word": " ال", "probability": 0.6455078125}, {"start": 2721.66, "end": 2722.14, "word": " probability", "probability": 0.80322265625}, {"start": 2722.14, "end": 2722.56, "word": " تبعت", "probability": 0.6864420572916666}, {"start": 2722.56, "end": 2722.7, "word": " ال", "probability": 0.93017578125}, {"start": 2722.7, "end": 2723.16, "word": " class", "probability": 0.97705078125}, {"start": 2723.16, "end": 2723.64, "word": " مع", "probability": 0.95166015625}, {"start": 2723.64, "end": 2723.78, "word": " ال", "probability": 0.98291015625}, {"start": 2723.78, "end": 2724.0, "word": " given", "probability": 0.91845703125}, {"start": 2724.0, "end": 2724.52, "word": " instance", "probability": 0.955078125}, {"start": 2724.52, "end": 2725.1, "word": " اللي", "probability": 0.973388671875}, {"start": 2725.1, "end": 2725.96, "word": " موجودة", "probability": 0.9862060546875}, {"start": 2725.96, "end": 2726.72, "word": " عندي", "probability": 0.6900634765625}, {"start": 2726.72, "end": 2726.9, "word": " هنا", "probability": 0.255126953125}, {"start": 2726.9, "end": 2727.76, "word": " طيب،", "probability": 0.756591796875}, {"start": 2727.76, "end": 2728.08, "word": " الآن", "probability": 0.7176513671875}, {"start": 2728.08, "end": 2728.4, "word": " حسب", "probability": 0.9853515625}, {"start": 2728.4, "end": 2728.58, "word": " ال", "probability": 0.9873046875}, {"start": 2728.58, "end": 2728.82, "word": " data", "probability": 0.66796875}, {"start": 2728.82, "end": 2729.3, "word": " set", "probability": 0.9521484375}, {"start": 2729.3, "end": 2730.04, "word": " معناته", "probability": 0.82666015625}, {"start": 2730.04, "end": 2730.2, "word": " أنا", "probability": 0.5009765625}, {"start": 2730.2, "end": 2730.44, "word": " بدي", "probability": 0.75}, {"start": 2730.44, "end": 2730.68, "word": " أروح", "probability": 0.8743489583333334}, {"start": 2730.68, "end": 2731.08, "word": " أشتغل", "probability": 0.97763671875}, {"start": 2731.08, "end": 2731.7, "word": " كتالي", "probability": 0.905517578125}, {"start": 2731.7, "end": 2732.32, "word": " مرة", "probability": 0.9287109375}, {"start": 2732.32, "end": 2732.5, "word": " مع", "probability": 0.98388671875}, {"start": 2732.5, "end": 2732.62, "word": " ال", "probability": 0.96240234375}, {"start": 2732.62, "end": 2732.96, "word": " yes", "probability": 0.91259765625}, {"start": 2732.96, "end": 2733.78, "word": " و", "probability": 0.96826171875}, {"start": 2733.78, "end": 2734.0, "word": " مرة", "probability": 0.87255859375}, {"start": 2734.0, "end": 2734.18, "word": " مع", "probability": 0.98681640625}, {"start": 2734.18, "end": 2734.48, "word": " انه", "probability": 0.85302734375}, {"start": 2734.48, "end": 2736.28, "word": " هذا", "probability": 0.77978515625}, {"start": 2736.28, "end": 2736.64, "word": " الكلام", "probability": 0.9747721354166666}, {"start": 2736.64, "end": 2736.96, "word": " بيقول", "probability": 0.97900390625}, {"start": 2736.96, "end": 2737.34, "word": " ايه؟", "probability": 0.7042236328125}, {"start": 2737.34, "end": 2737.54, "word": " ال", "probability": 0.89208984375}, {"start": 2737.54, "end": 2738.16, "word": " probability", "probability": 0.9599609375}, {"start": 2738.16, "end": 2738.7, "word": " مع", "probability": 0.96728515625}, {"start": 2738.7, "end": 2739.08, "word": " ال", "probability": 0.982421875}, {"start": 2739.08, "end": 2739.48, "word": " yes", "probability": 0.97900390625}, {"start": 2739.48, "end": 2740.82, "word": " ال", "probability": 0.7138671875}, {"start": 2740.82, "end": 2741.04, "word": " label", "probability": 0.98388671875}, {"start": 2741.04, "end": 2741.24, "word": " مع", "probability": 0.9892578125}, {"start": 2741.24, "end": 2742.32, "word": " مين؟", "probability": 0.92041015625}, {"start": 2742.32, "end": 2742.48, "word": " مع", "probability": 0.97021484375}, {"start": 2742.48, "end": 2742.6, "word": " ال", "probability": 0.986328125}, {"start": 2742.6, "end": 2742.84, "word": " given", "probability": 0.91845703125}, {"start": 2742.84, "end": 2743.1, "word": " data", "probability": 0.86181640625}, {"start": 2743.1, "end": 2743.56, "word": " set", "probability": 0.97314453125}, {"start": 2743.56, "end": 2743.86, "word": " ال", "probability": 0.42041015625}, {"start": 2743.86, "end": 2744.1, "word": " sunny", "probability": 0.9013671875}], "temperature": 1.0}, {"id": 110, "seek": 277158, "start": 2746.22, "end": 2771.58, "text": "و mild و high ايش ال probability تبعت high اولا بقول لهذه تساوي ال probability تبعت ال yes مضروبة في ال probability تبعت مين تبعت ال instance اللى موجودة عندى هنا اي instance", "tokens": [2407, 15154, 4032, 1090, 1975, 1829, 8592, 2423, 8482, 6055, 3555, 34268, 1090, 1975, 12610, 995, 4724, 39648, 46740, 24192, 6055, 3794, 995, 45865, 2423, 8482, 6055, 3555, 34268, 2423, 2086, 3714, 11242, 32887, 49401, 8978, 2423, 8482, 6055, 3555, 34268, 3714, 9957, 6055, 3555, 34268, 2423, 5197, 13672, 7578, 3714, 29245, 23328, 3660, 43242, 7578, 34105, 1975, 1829, 5197], "avg_logprob": -0.2593493852459016, "compression_ratio": 1.7027027027027026, "no_speech_prob": 0.0, "words": [{"start": 2746.22, "end": 2746.48, "word": "و", "probability": 0.464599609375}, {"start": 2746.48, "end": 2746.88, "word": " mild", "probability": 0.591796875}, {"start": 2746.88, "end": 2748.32, "word": " و", "probability": 0.92626953125}, {"start": 2748.32, "end": 2748.68, "word": " high", "probability": 0.36865234375}, {"start": 2748.68, "end": 2750.94, "word": " ايش", "probability": 0.849609375}, {"start": 2750.94, "end": 2751.04, "word": " ال", "probability": 0.498291015625}, {"start": 2751.04, "end": 2751.46, "word": " probability", "probability": 0.87890625}, {"start": 2751.46, "end": 2751.88, "word": " تبعت", "probability": 0.86767578125}, {"start": 2751.88, "end": 2752.18, "word": " high", "probability": 0.2056884765625}, {"start": 2752.18, "end": 2753.6, "word": " اولا", "probability": 0.8312174479166666}, {"start": 2753.6, "end": 2754.08, "word": " بقول", "probability": 0.905029296875}, {"start": 2754.08, "end": 2754.38, "word": " لهذه", "probability": 0.51953125}, {"start": 2754.38, "end": 2754.92, "word": " تساوي", "probability": 0.944580078125}, {"start": 2754.92, "end": 2756.34, "word": " ال", "probability": 0.7998046875}, {"start": 2756.34, "end": 2756.98, "word": " probability", "probability": 0.93408203125}, {"start": 2756.98, "end": 2757.66, "word": " تبعت", "probability": 0.8767903645833334}, {"start": 2757.66, "end": 2757.8, "word": " ال", "probability": 0.9287109375}, {"start": 2757.8, "end": 2758.16, "word": " yes", "probability": 0.88232421875}, {"start": 2758.16, "end": 2762.26, "word": " مضروبة", "probability": 0.9339599609375}, {"start": 2762.26, "end": 2763.38, "word": " في", "probability": 0.95654296875}, {"start": 2763.38, "end": 2763.64, "word": " ال", "probability": 0.6142578125}, {"start": 2763.64, "end": 2766.6, "word": " probability", "probability": 0.912109375}, {"start": 2766.6, "end": 2767.22, "word": " تبعت", "probability": 0.9620768229166666}, {"start": 2767.22, "end": 2767.5, "word": " مين", "probability": 0.6959228515625}, {"start": 2767.5, "end": 2768.48, "word": " تبعت", "probability": 0.8297526041666666}, {"start": 2768.48, "end": 2768.66, "word": " ال", "probability": 0.90966796875}, {"start": 2768.66, "end": 2769.1, "word": " instance", "probability": 0.7138671875}, {"start": 2769.1, "end": 2769.52, "word": " اللى", "probability": 0.6185302734375}, {"start": 2769.52, "end": 2770.06, "word": " موجودة", "probability": 0.94921875}, {"start": 2770.06, "end": 2770.4, "word": " عندى", "probability": 0.683349609375}, {"start": 2770.4, "end": 2770.54, "word": " هنا", "probability": 0.52587890625}, {"start": 2770.54, "end": 2771.2, "word": " اي", "probability": 0.82177734375}, {"start": 2771.2, "end": 2771.58, "word": " instance", "probability": 0.876953125}], "temperature": 1.0}, {"id": 111, "seek": 279585, "start": 2773.51, "end": 2795.85, "text": "طب ال instance تبعتي مكونة من ال outlook و ال temperature و ال humidity مصبوط؟ كمان مرة ال instance تبعتي هان اللي هي ال X هذه اللي أنا الآن هيها مكونة من ال outlook و ال temperature و ال humidity", "tokens": [9566, 3555, 2423, 5197, 6055, 3555, 3615, 31371, 3714, 30544, 3660, 9154, 2423, 484, 752, 453, 4032, 2423, 4292, 4032, 2423, 24751, 3714, 9381, 3555, 2407, 9566, 22807, 9122, 2304, 7649, 3714, 25720, 2423, 5197, 6055, 3555, 3615, 31371, 8032, 7649, 13672, 1829, 39896, 2423, 1783, 29538, 13672, 1829, 41850, 6024, 48506, 39896, 11296, 3714, 30544, 3660, 9154, 2423, 26650, 4032, 2423, 4292, 4032, 2423, 24751], "avg_logprob": -0.2283115622712605, "compression_ratio": 1.8933333333333333, "no_speech_prob": 0.0, "words": [{"start": 2773.51, "end": 2773.71, "word": "طب", "probability": 0.573974609375}, {"start": 2773.71, "end": 2773.83, "word": " ال", "probability": 0.8916015625}, {"start": 2773.83, "end": 2774.15, "word": " instance", "probability": 0.7607421875}, {"start": 2774.15, "end": 2774.59, "word": " تبعتي", "probability": 0.8143310546875}, {"start": 2774.59, "end": 2775.21, "word": " مكونة", "probability": 0.8352864583333334}, {"start": 2775.21, "end": 2775.35, "word": " من", "probability": 0.9912109375}, {"start": 2775.35, "end": 2775.51, "word": " ال", "probability": 0.94873046875}, {"start": 2775.51, "end": 2776.19, "word": " outlook", "probability": 0.6175944010416666}, {"start": 2776.19, "end": 2777.89, "word": " و", "probability": 0.2406005859375}, {"start": 2777.89, "end": 2777.99, "word": " ال", "probability": 0.9404296875}, {"start": 2777.99, "end": 2778.51, "word": " temperature", "probability": 0.91796875}, {"start": 2778.51, "end": 2779.97, "word": " و", "probability": 0.93115234375}, {"start": 2779.97, "end": 2780.03, "word": " ال", "probability": 0.9716796875}, {"start": 2780.03, "end": 2780.51, "word": " humidity", "probability": 0.90771484375}, {"start": 2780.51, "end": 2782.09, "word": " مصبوط؟", "probability": 0.6972249348958334}, {"start": 2782.09, "end": 2782.41, "word": " كمان", "probability": 0.908203125}, {"start": 2782.41, "end": 2782.69, "word": " مرة", "probability": 0.969482421875}, {"start": 2782.69, "end": 2783.53, "word": " ال", "probability": 0.9365234375}, {"start": 2783.53, "end": 2783.93, "word": " instance", "probability": 0.99072265625}, {"start": 2783.93, "end": 2784.45, "word": " تبعتي", "probability": 0.942626953125}, {"start": 2784.45, "end": 2784.73, "word": " هان", "probability": 0.804931640625}, {"start": 2784.73, "end": 2784.87, "word": " اللي", "probability": 0.833984375}, {"start": 2784.87, "end": 2784.95, "word": " هي", "probability": 0.67529296875}, {"start": 2784.95, "end": 2785.09, "word": " ال", "probability": 0.88720703125}, {"start": 2785.09, "end": 2785.39, "word": " X", "probability": 0.64599609375}, {"start": 2785.39, "end": 2785.77, "word": " هذه", "probability": 0.51953125}, {"start": 2785.77, "end": 2787.41, "word": " اللي", "probability": 0.98046875}, {"start": 2787.41, "end": 2787.55, "word": " أنا", "probability": 0.6787109375}, {"start": 2787.55, "end": 2787.87, "word": " الآن", "probability": 0.802978515625}, {"start": 2787.87, "end": 2788.33, "word": " هيها", "probability": 0.922607421875}, {"start": 2788.33, "end": 2789.29, "word": " مكونة", "probability": 0.8802083333333334}, {"start": 2789.29, "end": 2789.51, "word": " من", "probability": 0.99658203125}, {"start": 2789.51, "end": 2791.17, "word": " ال", "probability": 0.9501953125}, {"start": 2791.17, "end": 2791.77, "word": " outlook", "probability": 0.5703125}, {"start": 2791.77, "end": 2793.29, "word": " و", "probability": 0.74853515625}, {"start": 2793.29, "end": 2793.83, "word": " ال", "probability": 0.95751953125}, {"start": 2793.83, "end": 2794.69, "word": " temperature", "probability": 0.92236328125}, {"start": 2794.69, "end": 2795.25, "word": " و", "probability": 0.9931640625}, {"start": 2795.25, "end": 2795.35, "word": " ال", "probability": 0.97412109375}, {"start": 2795.35, "end": 2795.85, "word": " humidity", "probability": 0.9296875}], "temperature": 1.0}, {"id": 112, "seek": 282498, "start": 2797.1, "end": 2824.98, "text": "وبدي اروح بقوللي علاقة كل ال values اللي موجودة عندهم بال class مين بال class yes يعني بين جثين هي عبارة عن ال probability لل S لل sunny ال outlook equal sunny مع ال yes", "tokens": [37746, 16254, 1975, 32887, 5016, 4724, 39648, 20292, 11203, 995, 28671, 28242, 2423, 4190, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 16095, 20666, 1508, 3714, 9957, 20666, 1508, 2086, 37495, 22653, 49374, 10874, 12984, 9957, 39896, 6225, 3555, 9640, 3660, 18871, 2423, 8482, 24976, 318, 24976, 20412, 2423, 26650, 2681, 20412, 20449, 2423, 2086], "avg_logprob": -0.24616478464820168, "compression_ratio": 1.5121951219512195, "no_speech_prob": 0.0, "words": [{"start": 2797.1, "end": 2797.56, "word": "وبدي", "probability": 0.4697265625}, {"start": 2797.56, "end": 2797.88, "word": " اروح", "probability": 0.7872721354166666}, {"start": 2797.88, "end": 2798.22, "word": " بقوللي", "probability": 0.5170084635416666}, {"start": 2798.22, "end": 2798.68, "word": " علاقة", "probability": 0.95166015625}, {"start": 2798.68, "end": 2799.0, "word": " كل", "probability": 0.97802734375}, {"start": 2799.0, "end": 2799.2, "word": " ال", "probability": 0.9521484375}, {"start": 2799.2, "end": 2799.52, "word": " values", "probability": 0.81982421875}, {"start": 2799.52, "end": 2799.72, "word": " اللي", "probability": 0.840087890625}, {"start": 2799.72, "end": 2800.1, "word": " موجودة", "probability": 0.9136962890625}, {"start": 2800.1, "end": 2800.3, "word": " عندهم", "probability": 0.9853515625}, {"start": 2800.3, "end": 2800.46, "word": " بال", "probability": 0.91455078125}, {"start": 2800.46, "end": 2800.78, "word": " class", "probability": 0.8583984375}, {"start": 2800.78, "end": 2801.14, "word": " مين", "probability": 0.56793212890625}, {"start": 2801.14, "end": 2801.58, "word": " بال", "probability": 0.7314453125}, {"start": 2801.58, "end": 2801.96, "word": " class", "probability": 0.92236328125}, {"start": 2801.96, "end": 2802.26, "word": " yes", "probability": 0.8388671875}, {"start": 2802.26, "end": 2802.56, "word": " يعني", "probability": 0.80712890625}, {"start": 2802.56, "end": 2802.8, "word": " بين", "probability": 0.974609375}, {"start": 2802.8, "end": 2803.26, "word": " جثين", "probability": 0.66064453125}, {"start": 2803.26, "end": 2803.76, "word": " هي", "probability": 0.7998046875}, {"start": 2803.76, "end": 2804.34, "word": " عبارة", "probability": 0.991455078125}, {"start": 2804.34, "end": 2804.7, "word": " عن", "probability": 0.9970703125}, {"start": 2804.7, "end": 2807.12, "word": " ال", "probability": 0.708984375}, {"start": 2807.12, "end": 2807.74, "word": " probability", "probability": 0.91748046875}, {"start": 2807.74, "end": 2813.7, "word": " لل", 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yes هاي ال sunny او الآن mild هاي ال mild ال temperature تبعتي high", "tokens": [2304, 11242, 32887, 49401, 8978, 2423, 19667, 16712, 7649, 10632, 2423, 8482, 6055, 3555, 34268, 2423, 4292, 15844, 2423, 2086, 8032, 47302, 2423, 20412, 1975, 2407, 6024, 48506, 15154, 8032, 47302, 2423, 15154, 2423, 4292, 6055, 3555, 3615, 31371, 1090], "avg_logprob": -0.20788871660465147, "compression_ratio": 1.4511278195488722, "no_speech_prob": 0.0, "words": [{"start": 2828.13, "end": 2828.81, "word": "مضروبة", "probability": 0.943603515625}, {"start": 2828.81, "end": 2830.39, "word": " في", "probability": 0.94287109375}, {"start": 2830.39, "end": 2832.81, "word": " ال", "probability": 0.8994140625}, {"start": 2832.81, "end": 2833.15, "word": " attribute", "probability": 0.332763671875}, {"start": 2833.15, "end": 2833.75, "word": " التانية", "probability": 0.88623046875}, {"start": 2833.75, "end": 2834.53, "word": " ال", "probability": 0.8115234375}, {"start": 2834.53, "end": 2835.11, "word": " probability", "probability": 0.8974609375}, {"start": 2835.11, "end": 2835.57, "word": " تبعت", "probability": 0.86865234375}, {"start": 2835.57, "end": 2835.75, "word": " ال", "probability": 0.9423828125}, {"start": 2835.75, "end": 2836.35, "word": " temperature", "probability": 0.91357421875}, {"start": 2836.35, "end": 2837.65, "word": " على", "probability": 0.802734375}, {"start": 2837.65, "end": 2837.83, "word": " ال", "probability": 0.951171875}, {"start": 2837.83, "end": 2838.15, "word": " yes", "probability": 0.826171875}, {"start": 2838.15, "end": 2840.55, "word": " هاي", "probability": 0.589111328125}, {"start": 2840.55, "end": 2840.71, "word": " ال", "probability": 0.8984375}, {"start": 2840.71, "end": 2840.95, "word": " sunny", "probability": 0.974609375}, {"start": 2840.95, "end": 2846.13, "word": " او", "probability": 0.7279052734375}, {"start": 2846.13, "end": 2846.79, "word": " الآن", "probability": 0.65185546875}, {"start": 2846.79, "end": 2848.41, "word": " mild", 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"word": " على", "probability": 0.8759765625}, {"start": 2878.41, "end": 2879.07, "word": " اربعة", "probability": 0.9430338541666666}, {"start": 2879.07, "end": 2880.57, "word": " في", "probability": 0.77490234375}, {"start": 2880.57, "end": 2880.97, "word": " اتنين", "probability": 0.9862060546875}, {"start": 2880.97, "end": 2881.21, "word": " على", "probability": 0.92041015625}, {"start": 2881.21, "end": 2882.01, "word": " اربعة", "probability": 0.94970703125}], "temperature": 1.0}, {"id": 115, "seek": 291092, "start": 2883.48, "end": 2910.92, "text": "وبهك بكون انا بدي اعيد الحسبة تبعت لمين لكل العناصر الموجودة يعني ال probability لل yes طبعا انا فصلتلكوا ياها عشان ماتنسوهاش لانوا لاحظوا ان هي عبارة عن عملية ضرب هادي ل probability تبعت ال X على Ci على class تساوي ل probability", "tokens": [37746, 3224, 4117, 4724, 30544, 1975, 8315, 4724, 16254, 1975, 3615, 25708, 21542, 35457, 3660, 6055, 3555, 34268, 32767, 9957, 5296, 28820, 18863, 1863, 33546, 2288, 9673, 29245, 23328, 3660, 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0.91259765625}, {"start": 3089.98, "end": 3090.56, "word": " تبع", "probability": 0.8287760416666666}, {"start": 3090.56, "end": 3090.7, "word": " ال", "probability": 0.306396484375}, {"start": 3090.7, "end": 3091.1, "word": " existence", "probability": 0.1824951171875}, {"start": 3091.1, "end": 3091.44, "word": " اللي", "probability": 0.84716796875}, {"start": 3091.44, "end": 3091.92, "word": " موجودة", "probability": 0.8809814453125}, {"start": 3091.92, "end": 3092.24, "word": " عندي", "probability": 0.69140625}, {"start": 3092.24, "end": 3092.52, "word": " هان", "probability": 0.6773681640625}, {"start": 3092.52, "end": 3093.38, "word": " عبارة", "probability": 0.9896240234375}, {"start": 3093.38, "end": 3093.64, "word": " عن", "probability": 0.9873046875}], "temperature": 1.0}, {"id": 123, "seek": 312240, "start": 3094.54, "end": 3122.4, "text": "yes غالبا لو كان الظرف sunny مشرق او مشمس والدرجة الحرارة متوسطة والرقوبة عالية غالبا هروح على البحر بناء او على الشاطئ بناء على ال data set الاحتمالات انتبه معايا او انتبه معايا كمان مرة الجدول هذا الجدول هذا هيظل قائم عندى هيظل قائم عندى قول ما ال data set هيلم تتغير", "tokens": [2346, 32771, 6027, 3555, 995, 45164, 25961, 6024, 116, 28480, 20412, 37893, 2288, 4587, 1975, 2407, 37893, 2304, 3794, 16070, 3215, 47341, 3660, 21542, 2288, 9640, 3660, 44650, 41779, 9566, 3660, 16070, 2288, 4587, 37746, 3660, 6225, 6027, 10632, 32771, 6027, 3555, 995, 8032, 32887, 5016, 15844, 29739, 5016, 2288, 44945, 16606, 1975, 2407, 15844, 25124, 41193, 19986, 44945, 16606, 15844, 2423, 1412, 992, 42963, 33753, 2304, 6027, 9307, 16472, 2655, 3555, 3224, 20449, 995, 25528, 1975, 2407, 16472, 2655, 3555, 3224, 20449, 995, 25528, 9122, 2304, 7649, 3714, 25720, 25724, 3215, 12610, 23758, 25724, 3215, 12610, 23758, 39896, 19913, 1211, 12174, 16373, 2304, 43242, 7578, 39896, 19913, 1211, 12174, 16373, 2304, 43242, 7578, 12174, 12610, 19446, 2423, 1412, 992, 39896, 19528, 6055, 2655, 17082, 13546], "avg_logprob": -0.12395423251812852, "compression_ratio": 2.075892857142857, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 3094.54, "end": 3095.0, "word": "yes", "probability": 0.491943359375}, {"start": 3095.0, "end": 3096.16, "word": " غالبا", "probability": 0.8997802734375}, {"start": 3096.16, "end": 3096.3, "word": " لو", "probability": 0.890625}, {"start": 3096.3, "end": 3096.56, "word": " كان", "probability": 0.99365234375}, {"start": 3096.56, "end": 3096.92, "word": " الظرف", "probability": 0.9287109375}, {"start": 3096.92, "end": 3097.66, "word": " sunny", "probability": 0.4443359375}, {"start": 3097.66, "end": 3098.86, "word": " مشرق", "probability": 0.8888346354166666}, {"start": 3098.86, "end": 3099.44, "word": " او", "probability": 0.77734375}, {"start": 3099.44, "end": 3100.0, "word": " مشمس", "probability": 0.9523111979166666}, {"start": 3100.0, "end": 3101.26, "word": " والدرجة", "probability": 0.82464599609375}, {"start": 3101.26, "end": 3101.82, "word": " الحرارة", "probability": 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بناء", "probability": 0.92724609375}, {"start": 3107.72, "end": 3107.94, "word": " على", "probability": 0.7880859375}, {"start": 3107.94, "end": 3108.06, "word": " ال", "probability": 0.939453125}, {"start": 3108.06, "end": 3108.2, "word": " data", "probability": 0.8046875}, {"start": 3108.2, "end": 3108.6, "word": " set", "probability": 0.94970703125}, {"start": 3108.6, "end": 3109.94, "word": " الاحتمالات", "probability": 0.9259765625}, {"start": 3109.94, "end": 3110.72, "word": " انتبه", "probability": 0.9627685546875}, {"start": 3110.72, "end": 3111.2, "word": " معايا", "probability": 0.98779296875}, {"start": 3111.2, "end": 3111.54, "word": " او", "probability": 0.892578125}, {"start": 3111.54, "end": 3111.84, "word": " انتبه", "probability": 0.9732666015625}, {"start": 3111.84, "end": 3112.24, "word": " معايا", "probability": 0.9632161458333334}, {"start": 3112.24, "end": 3112.64, "word": " كمان", "probability": 0.9793294270833334}, {"start": 3112.64, "end": 3113.06, "word": " مرة", "probability": 0.98828125}, {"start": 3113.06, "end": 3114.1, "word": " الجدول", "probability": 0.9563802083333334}, {"start": 3114.1, "end": 3114.66, "word": " هذا", "probability": 0.951171875}, {"start": 3114.66, "end": 3115.86, "word": " الجدول", "probability": 0.91015625}, {"start": 3115.86, "end": 3116.26, "word": " هذا", "probability": 0.9638671875}, {"start": 3116.26, "end": 3117.0, "word": " هيظل", "probability": 0.86376953125}, {"start": 3117.0, "end": 3117.66, "word": " قائم", "probability": 0.9684244791666666}, {"start": 3117.66, "end": 3118.6, "word": " عندى", "probability": 0.681884765625}, {"start": 3118.6, "end": 3119.4, "word": " هيظل", "probability": 0.790771484375}, {"start": 3119.4, "end": 3119.82, "word": " قائم", "probability": 0.9871419270833334}, {"start": 3119.82, "end": 3120.28, "word": " عندى", "probability": 0.89208984375}, {"start": 3120.28, "end": 3120.6, "word": " قول", "probability": 0.759765625}, {"start": 3120.6, "end": 3120.7, "word": " ما", "probability": 0.88623046875}, {"start": 3120.7, "end": 3120.86, "word": " ال", "probability": 0.9501953125}, {"start": 3120.86, "end": 3121.1, "word": " data", "probability": 0.95703125}, {"start": 3121.1, "end": 3121.48, "word": " set", "probability": 0.970703125}, {"start": 3121.48, "end": 3121.8, "word": " هيلم", "probability": 0.4073486328125}, {"start": 3121.8, "end": 3122.4, "word": " تتغير", "probability": 0.992431640625}], "temperature": 1.0}, {"id": 124, "seek": 314896, "start": 3123.66, "end": 3148.96, "text": "كم مرة بحسبه؟ لمرة واحدة وكأنه model وكأنه model بس مش model حساب أصبحت الآن العملية عملية إيش؟ computation لكن ال computation مش مع كل ال data set يعني الآن تخيلوا لو روحت أنا غيرت في ال instance .. في ال instance high بعد إذنكم وروحت قولت والله إنه أنا بدي أروح أبدل بدال high high low", "tokens": [24793, 3714, 25720, 4724, 5016, 35457, 3224, 22807, 32767, 25720, 36764, 24401, 3660, 4032, 4117, 33456, 3224, 2316, 4032, 4117, 33456, 3224, 2316, 4724, 3794, 37893, 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{"start": 3133.34, "end": 3133.7, "word": " عملية", "probability": 0.9013671875}, {"start": 3133.7, "end": 3134.48, "word": " إيش؟", "probability": 0.67852783203125}, {"start": 3134.48, "end": 3134.86, "word": " computation", "probability": 0.81005859375}, {"start": 3134.86, "end": 3135.44, "word": " لكن", "probability": 0.88037109375}, {"start": 3135.44, "end": 3135.66, "word": " ال", "probability": 0.779296875}, {"start": 3135.66, "end": 3136.06, "word": " computation", "probability": 0.83642578125}, {"start": 3136.06, "end": 3136.28, "word": " مش", "probability": 0.962890625}, {"start": 3136.28, "end": 3136.44, "word": " مع", "probability": 0.99072265625}, {"start": 3136.44, "end": 3136.6, "word": " كل", "probability": 0.98974609375}, {"start": 3136.6, "end": 3136.72, "word": " ال", "probability": 0.88671875}, {"start": 3136.72, "end": 3136.86, "word": " data", "probability": 0.64599609375}, {"start": 3136.86, "end": 3137.26, "word": " set", "probability": 0.9541015625}, {"start": 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"end": 3142.42, "word": " ال", "probability": 0.98681640625}, {"start": 3142.42, "end": 3142.78, "word": " instance", "probability": 0.982421875}, {"start": 3142.78, "end": 3143.14, "word": " high", "probability": 0.568359375}, {"start": 3143.14, "end": 3143.68, "word": " بعد", "probability": 0.83544921875}, {"start": 3143.68, "end": 3144.18, "word": " إذنكم", "probability": 0.8720703125}, {"start": 3144.18, "end": 3145.32, "word": " وروحت", "probability": 0.9036458333333334}, {"start": 3145.32, "end": 3145.58, "word": " قولت", "probability": 0.8133138020833334}, {"start": 3145.58, "end": 3145.96, "word": " والله", "probability": 0.877197265625}, {"start": 3145.96, "end": 3146.3, "word": " إنه", "probability": 0.704345703125}, {"start": 3146.3, "end": 3146.46, "word": " أنا", "probability": 0.81689453125}, {"start": 3146.46, "end": 3146.72, "word": " بدي", "probability": 0.83203125}, {"start": 3146.72, "end": 3147.02, "word": " أروح", "probability": 0.9541015625}, {"start": 3147.02, "end": 3147.54, "word": " أبدل", "probability": 0.9557291666666666}, {"start": 3147.54, "end": 3147.9, "word": " بدال", "probability": 0.713623046875}, {"start": 3147.9, "end": 3148.22, "word": " high", "probability": 0.73046875}, {"start": 3148.22, "end": 3148.52, "word": " high", "probability": 0.1632080078125}, {"start": 3148.52, "end": 3148.96, "word": " low", "probability": 0.625}], "temperature": 1.0}, {"id": 125, "seek": 318160, "start": 3153.28, "end": 3181.6, "text": "بدل ال high low ايش اللي هتفرق معايا؟ هرجع للجدول اللي هو الجدول تبعي هذا وحاجة أشتغل كتالي طبعا عشان بس أظل نتذكر ال sunny و mild", "tokens": [3555, 3215, 1211, 2423, 1090, 2295, 1975, 1829, 8592, 13672, 1829, 8032, 2655, 5172, 2288, 4587, 20449, 995, 25528, 22807, 8032, 47341, 3615, 24976, 7435, 3215, 12610, 13672, 1829, 31439, 25724, 3215, 12610, 6055, 3555, 3615, 1829, 23758, 4032, 5016, 26108, 3660, 5551, 8592, 2655, 17082, 1211, 9122, 2655, 6027, 1829, 23032, 3555, 3615, 995, 6225, 8592, 7649, 4724, 3794, 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خذلتنا في الآخر ال probability لانه بدي اعمل ال probability لانه لنفس ال instance M N هتكون ال probability لانه مضروبة", "tokens": [3215, 25513, 1975, 2655, 1863, 9957, 6055, 4587, 3794, 32640, 1975, 25513, 27884, 4033, 2423, 24993, 16490, 8848, 1211, 2655, 8315, 8978, 6024, 95, 34740, 2423, 8482, 5296, 7649, 3224, 4724, 16254, 1975, 25957, 1211, 2423, 8482, 5296, 7649, 3224, 5296, 1863, 36178, 2423, 5197, 376, 426, 8032, 2655, 30544, 2423, 8482, 5296, 7649, 3224, 3714, 11242, 32887, 49401], "avg_logprob": -0.21718750298023223, "compression_ratio": 1.5225806451612902, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 3327.55, "end": 3328.11, "word": "درب", "probability": 0.51654052734375}, {"start": 3328.11, "end": 3328.69, "word": " اتنين", "probability": 0.8818359375}, {"start": 3328.69, "end": 3329.15, "word": " تقسيم", "probability": 0.885986328125}, {"start": 3329.15, "end": 3329.73, "word": " اربعة", "probability": 0.8631184895833334}, {"start": 3329.73, "end": 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{"start": 3458.99, "end": 3459.27, "word": " كتير", "probability": 0.9588216145833334}, {"start": 3459.27, "end": 3459.37, "word": " يا", "probability": 0.93505859375}, {"start": 3459.37, "end": 3459.55, "word": " جماعة", "probability": 0.9964192708333334}, {"start": 3459.55, "end": 3459.91, "word": " الخير", "probability": 0.9853515625}, {"start": 3459.91, "end": 3460.51, "word": " بدي", "probability": 0.7138671875}, {"start": 3460.51, "end": 3460.79, "word": " ابني", "probability": 0.79638671875}, {"start": 3460.79, "end": 3461.21, "word": " الجدول", "probability": 0.98291015625}, {"start": 3461.21, "end": 3461.91, "word": " السابق", "probability": 0.9951171875}, {"start": 3461.91, "end": 3464.03, "word": " بالكامل", "probability": 0.980224609375}], "temperature": 1.0}, {"id": 136, "seek": 349483, "start": 3466.87, "end": 3494.83, "text": "هو بيقولوا بدوا منى ل class مصبوط ال attribute a1 ايش ال attribute a1 فيه values طبعا هنا في عندى yes واحد او صفر واحد في ال attribute الاول كام value في عندى صفر واحد اتنين يعني في عندى three values صفر واحد اتنين انا بكتبه من مرتبات افضل اليه ال attribute التانى", "tokens": [3224, 2407, 4724, 1829, 39648, 14407, 47525, 14407, 9154, 7578, 5296, 1508, 3714, 9381, 3555, 2407, 9566, 2423, 19667, 257, 16, 1975, 1829, 8592, 2423, 19667, 257, 16, 8978, 3224, 4190, 23032, 3555, 3615, 995, 34105, 8978, 43242, 7578, 2086, 36764, 24401, 1975, 2407, 20328, 5172, 2288, 36764, 24401, 8978, 2423, 19667, 42963, 12610, 9122, 10943, 2158, 8978, 43242, 7578, 20328, 5172, 2288, 36764, 24401, 1975, 2655, 1863, 9957, 37495, 22653, 8978, 43242, 7578, 1045, 4190, 20328, 5172, 2288, 36764, 24401, 1975, 2655, 1863, 9957, 1975, 8315, 4724, 4117, 2655, 3555, 3224, 9154, 3714, 43500, 3555, 9307, 1975, 5172, 11242, 1211, 45595, 3224, 2423, 19667, 16712, 7649, 7578], "avg_logprob": -0.17187499398485237, "compression_ratio": 2.0199004975124377, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 3466.87, "end": 3467.07, "word": "هو", "probability": 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"probability": 0.79248046875}, {"start": 3917.65, "end": 3918.85, "word": " هتتصنف", "probability": 0.9298502604166666}, {"start": 3918.85, "end": 3919.47, "word": " مع", "probability": 0.98046875}, {"start": 3919.47, "end": 3919.61, "word": " ال", "probability": 0.92431640625}, {"start": 3919.61, "end": 3920.17, "word": " class", "probability": 0.98193359375}, {"start": 3920.17, "end": 3920.85, "word": " التاني", "probability": 0.9226888020833334}, {"start": 3920.85, "end": 3921.83, "word": " مع", "probability": 0.9150390625}, {"start": 3921.83, "end": 3921.99, "word": " ال", "probability": 0.98095703125}, {"start": 3921.99, "end": 3922.37, "word": " class", "probability": 0.98876953125}, {"start": 3922.37, "end": 3922.95, "word": " التاني", "probability": 0.9816080729166666}, {"start": 3922.95, "end": 3923.43, "word": " لكن", "probability": 0.8564453125}, {"start": 3923.43, "end": 3923.75, "word": " أنا", "probability": 0.42529296875}, {"start": 3923.75, "end": 3924.17, "word": " انتبهت", "probability": 0.9541015625}, {"start": 3924.17, "end": 3924.67, "word": " لشغلة", "probability": 0.78741455078125}, {"start": 3924.67, "end": 3924.93, "word": " و", "probability": 0.8369140625}, {"start": 3924.93, "end": 3925.03, "word": " أنا", "probability": 0.720703125}, {"start": 3925.03, "end": 3925.15, "word": " بقى", "probability": 0.9192708333333334}, {"start": 3925.15, "end": 3925.39, "word": " أشتغل", "probability": 0.91064453125}, {"start": 3925.39, "end": 3925.49, "word": " في", "probability": 0.93994140625}, {"start": 3925.49, "end": 3925.93, "word": " الحسبة", "probability": 0.96337890625}], "temperature": 1.0}, {"id": 152, "seek": 394030, "start": 3928.06, "end": 3940.3, "text": "و هي ان ال instances اللي أنا كتبتها موجودة بس ايش ال class تبعتها؟", "tokens": [2407, 39896, 16472, 2423, 14519, 13672, 1829, 41850, 9122, 2655, 3555, 2655, 11296, 3714, 29245, 23328, 3660, 4724, 3794, 1975, 1829, 8592, 2423, 1508, 6055, 3555, 34268, 11296, 22807], "avg_logprob": 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{"start": 4235.43, "end": 4235.63, "word": " اللي", "probability": 0.671630859375}, {"start": 4235.63, "end": 4235.93, "word": " موجود", "probability": 0.9861653645833334}, {"start": 4235.93, "end": 4236.13, "word": " هنا", "probability": 0.6240234375}, {"start": 4236.13, "end": 4236.89, "word": " في", "probability": 0.56787109375}, {"start": 4236.89, "end": 4237.33, "word": " الختام", "probability": 0.93994140625}, {"start": 4237.33, "end": 4237.57, "word": " بدي", "probability": 0.6380615234375}, {"start": 4237.57, "end": 4238.09, "word": " اذكر", "probability": 0.85205078125}, {"start": 4238.09, "end": 4238.63, "word": " انه", "probability": 0.72265625}, {"start": 4238.63, "end": 4238.75, "word": " في", "probability": 0.88330078125}, {"start": 4238.75, "end": 4239.27, "word": " عندنا", "probability": 0.90625}, {"start": 4239.27, "end": 4239.81, "word": " forum", "probability": 0.84375}, {"start": 4239.81, "end": 4240.85, "word": " موجود", "probability": 0.9830729166666666}, {"start": 4240.85, "end": 4241.33, "word": " منتده", "probability": 0.8643798828125}, {"start": 4241.33, "end": 4241.81, "word": " حواري", "probability": 0.932861328125}, {"start": 4241.81, "end": 4242.01, "word": " على", "probability": 0.87158203125}, {"start": 4242.01, "end": 4242.59, "word": " الموضل", "probability": 0.71435546875}, {"start": 4242.59, "end": 4243.37, "word": " لأي", "probability": 0.8798828125}, {"start": 4243.37, "end": 4244.05, "word": " سؤال", "probability": 0.9944661458333334}, {"start": 4244.05, "end": 4244.63, "word": " لكل", "probability": 0.948486328125}, {"start": 4244.63, "end": 4245.55, "word": " محاضراتنا", "probability": 0.9812825520833334}, {"start": 4245.55, "end": 4246.27, "word": " باستمرار", "probability": 0.97978515625}, {"start": 4246.27, "end": 4246.73, "word": " فإذا", "probability": 0.9386393229166666}, {"start": 4246.73, "end": 4246.85, "word": " في", "probability": 0.85400390625}, {"start": 4246.85, "end": 4247.19, "word": " عندك", "probability": 0.9931640625}, {"start": 4247.19, "end": 4247.35, "word": " او", "probability": 0.85693359375}, {"start": 4247.35, "end": 4247.69, "word": " عندك", "probability": 0.990478515625}, {"start": 4247.69, "end": 4247.95, "word": " اي", "probability": 0.747802734375}, {"start": 4247.95, "end": 4248.41, "word": " سؤال", "probability": 0.9967447916666666}], "temperature": 1.0}, {"id": 166, "seek": 426630, "start": 4249.26, "end": 4266.3, "text": "مشكورين اضيفوا السؤال على ال forum وانا ان شاء الله تعالى برد عليكوا بالإجابة الشافية اللى بترضيكوا بإذن الله تبارك وتعالى بتمنى لكوا السلامة دوما والسلام عليكم ورحمة الله والمحاضرة الجاية بنكمل في decision algorithm يعطيكم العافية", "tokens": [2304, 8592, 4117, 13063, 9957, 1975, 11242, 33911, 14407, 21136, 33604, 6027, 15844, 2423, 17542, 4032, 7649, 995, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 4724, 2288, 3215, 25894, 4117, 14407, 20666, 28814, 7435, 16758, 3660, 25124, 31845, 10632, 13672, 7578, 39894, 43042, 1829, 4117, 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{"start": 4251.64, "end": 4251.94, "word": " وانا", "probability": 0.7762044270833334}, {"start": 4251.94, "end": 4252.06, "word": " ان", "probability": 0.78857421875}, {"start": 4252.06, "end": 4252.18, "word": " شاء", "probability": 0.9716796875}, {"start": 4252.18, "end": 4252.26, "word": " الله", "probability": 0.9345703125}, {"start": 4252.26, "end": 4252.66, "word": " تعالى", "probability": 0.8357747395833334}, {"start": 4252.66, "end": 4253.5, "word": " برد", "probability": 0.91259765625}, {"start": 4253.5, "end": 4254.26, "word": " عليكوا", "probability": 0.7261555989583334}, {"start": 4254.26, "end": 4255.16, "word": " بالإجابة", "probability": 0.87021484375}, {"start": 4255.16, "end": 4255.82, "word": " الشافية", "probability": 0.83642578125}, {"start": 4255.82, "end": 4256.12, "word": " اللى", "probability": 0.883056640625}, {"start": 4256.12, "end": 4256.74, "word": " بترضيكوا", "probability": 0.89833984375}, {"start": 4256.74, "end": 4257.0, "word": " بإذن", "probability": 0.9302978515625}, {"start": 4257.0, "end": 4257.14, "word": " الله", "probability": 0.9130859375}, {"start": 4257.14, "end": 4257.44, "word": " تبارك", "probability": 0.857177734375}, {"start": 4257.44, "end": 4257.86, "word": " وتعالى", "probability": 0.920166015625}, {"start": 4257.86, "end": 4258.74, "word": " بتمنى", "probability": 0.635009765625}, {"start": 4258.74, "end": 4258.92, "word": " لكوا", "probability": 0.8766276041666666}, {"start": 4258.92, "end": 4259.38, "word": " السلامة", "probability": 0.9220377604166666}, {"start": 4259.38, "end": 4259.72, "word": " دوما", "probability": 0.9091796875}, {"start": 4259.72, "end": 4260.58, "word": " والسلام", "probability": 0.782470703125}, {"start": 4260.58, "end": 4261.0, "word": " عليكم", "probability": 0.9375}, {"start": 4261.0, "end": 4261.42, "word": " ورحمة", "probability": 0.982666015625}, {"start": 4261.42, "end": 4261.66, "word": " الله", "probability": 0.9462890625}, {"start": 4261.66, "end": 4262.22, "word": " والمحاضرة", "probability": 0.8638671875}, {"start": 4262.22, "end": 4262.56, "word": " الجاية", "probability": 0.7569986979166666}, {"start": 4262.56, "end": 4263.18, "word": " بنكمل", "probability": 0.9303385416666666}, {"start": 4263.18, "end": 4263.68, "word": " في", "probability": 0.77099609375}, {"start": 4263.68, "end": 4263.98, "word": " decision", "probability": 0.80322265625}, {"start": 4263.98, "end": 4265.16, "word": " algorithm", "probability": 0.93798828125}, {"start": 4265.16, "end": 4266.0, "word": " يعطيكم", "probability": 0.7930908203125}, {"start": 4266.0, "end": 4266.3, "word": " العافية", "probability": 0.9215494791666666}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4266.504125, "duration_after_vad": 4064.723124999981}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..f0fdebdfd769d90d1cdf700cefed6bdf1bb63725
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@@ -0,0 +1,3504 @@
+1
+00:00:05,030 --> 00:00:08,110
+أعوذ بالله السلام عليهم باسم الله الرحمن الرحيم
+
+2
+00:00:08,110 --> 00:00:11,910
+الحمد لله والصلاة والسلام على رسول الله أهلا وسهلا
+
+3
+00:00:11,910 --> 00:00:15,150
+فيكم او ناسأل الله لكم و لنا السلام دائما و لجميع
+
+4
+00:00:15,150 --> 00:00:18,710
+المسلمين و ان شاء الله بتزولها الغمة و بنلقاكم من
+
+5
+00:00:18,710 --> 00:00:22,220
+جديداللي اليوم هنستقنف مع بعض ان شاء الله تعالى
+
+6
+00:00:22,220 --> 00:00:27,400
+المحاضرات المصورة لموضوع ال data mining ومن ثم
+
+7
+00:00:27,400 --> 00:00:31,100
+هنعمل review سريعة لو احنا وقفنا .. كنا بدينا في
+
+8
+00:00:31,100 --> 00:00:33,800
+chapter data mining .. data mining chapter تلاتة
+
+9
+00:00:33,800 --> 00:00:36,760
+في ال classification وقلنا ال classification هي
+
+10
+00:00:36,760 --> 00:00:40,600
+عبارة عن classical task تقليدية او المهمة
+
+11
+00:00:40,600 --> 00:00:43,680
+التقليدية في ال machine learning هدفها ان انا
+
+12
+00:00:43,680 --> 00:00:49,160
+فعليا اعمل prediction لdiscrete او لنومينال value
+
+13
+00:00:49,160 --> 00:00:52,240
+اللي حسمناها ال categorial value و لما حاولنا نعرف
+
+14
+00:00:52,240 --> 00:00:55,240
+ال classification مع بعض كنتوا فاكرين كنا بنقول ان
+
+15
+00:00:55,240 --> 00:00:59,320
+ال classification هي عبارة عن عملية لتحديد عضوية
+
+16
+00:00:59,320 --> 00:01:06,530
+العناصر إلى مجموعات معرفة مسبقاوتكلمنا أو حطينا
+
+17
+00:01:06,530 --> 00:01:09,770
+الرسم هاي على السريع وقلنا انه هذه هي بتمثل ال
+
+18
+00:01:09,770 --> 00:01:13,230
+model تبع ال classification انه انا بزود ال raw
+
+19
+00:01:13,230 --> 00:01:16,390
+data بحدد ال algorithm ال algorithm بيبني model
+
+20
+00:01:16,390 --> 00:01:19,110
+وال model بعد هيك المفروض يكون قادر على ال
+
+21
+00:01:19,110 --> 00:01:25,180
+prediction بشكل صحيح وبالتاليالـ classification هي
+
+22
+00:01:25,180 --> 00:01:28,920
+عبارة عن تقنية يستخدم في موضوع ال prediction
+
+23
+00:01:28,920 --> 00:01:34,080
+للممبرشب لعضوية العناصر المجموعة واتكلمنا انه
+
+24
+00:01:34,080 --> 00:01:37,620
+فعليا في ال classification task انا فيه عندي two
+
+25
+00:01:37,620 --> 00:01:40,300
+steps اي classification task عشان انجزها انا فيه
+
+26
+00:01:40,300 --> 00:01:43,460
+عندي two steps الأولى ال construction للموديل
+
+27
+00:01:43,460 --> 00:01:47,160
+ابناء الموديل بحيث انه انا احاول من خلال الخطوات
+
+28
+00:01:47,160 --> 00:01:53,090
+هذه اتعرف علىعلاقة الـ attribute مع ال class اتعرف
+
+29
+00:01:53,090 --> 00:01:55,490
+على علاقة ال attribute بال class وهذه بيسميناها
+
+30
+00:01:55,490 --> 00:01:58,890
+مرحلة لل training واللي دائما باخد جزء من ال data
+
+31
+00:01:58,890 --> 00:02:02,450
+set اللي بيسميها ال training set وشوفنا مثالها ده
+
+32
+00:02:02,450 --> 00:02:05,410
+سابقا اللحظة التانية او المحل الخطوة التانية اللي
+
+33
+00:02:05,410 --> 00:02:08,890
+هي ال model usage استخدامه بحيث انه انا اوجد ال
+
+34
+00:02:08,890 --> 00:02:13,090
+label او ال target class ل data set او عفوا ل
+
+35
+00:02:13,090 --> 00:02:18,970
+sample set موجودة عندى مسبقاوقلنا مهم جدا ان ال
+
+36
+00:02:18,970 --> 00:02:21,450
+model او ال classification model تبعي يتمتع بال
+
+37
+00:02:21,450 --> 00:02:24,790
+accuracy بالدقة بال speed سرعة ال computation
+
+38
+00:02:24,790 --> 00:02:28,110
+الموجودة robustness ال robustness اللى مبسوط فيها
+
+39
+00:02:28,110 --> 00:02:33,710
+اللى مجددش قدرة ال classifier هذا علىانه يتعامل او
+
+40
+00:02:33,710 --> 00:02:36,950
+يقدر يديني اكيرية prediction لما تكون ال data
+
+41
+00:02:36,950 --> 00:02:39,370
+بتحتوي على noise او missing data اتكلمنا عن
+
+42
+00:02:39,370 --> 00:02:42,830
+scalability و ال interpretability لل data set او
+
+43
+00:02:42,830 --> 00:02:46,910
+عفوا لل classifier و بيقولنا هذه مجموعة من ال
+
+44
+00:02:46,910 --> 00:02:50,050
+algorithms الموجودة و كنا المحاضرة الماضية هنا مع
+
+45
+00:02:50,050 --> 00:02:53,850
+بعض في اخر محاضرة ال canary's neighbor طبعا لو انا
+
+46
+00:02:53,850 --> 00:02:57,880
+سألت الآن سؤال و المفروض منك انت هيك تاخد لحظةجبل
+
+47
+00:02:57,880 --> 00:03:02,460
+ما انت تجاوبني، على إيش كان الـk-nearest neighbor
+
+48
+00:03:02,460 --> 00:03:08,700
+بيعتمد؟ المفروض الآن انت تبدأ تفكر في الإجابة الـk
+
+49
+00:03:08,700 --> 00:03:11,760
+-nearest neighbor بيعتمد على تصنيف العناصر تبعا
+
+50
+00:03:11,760 --> 00:03:17,360
+للنقاط المجاورة له وقولنا هذا هو عن واحد من
+
+51
+00:03:17,360 --> 00:03:20,530
+الـinstance basedفاكرين معايا ايش هو؟ انا كنا
+
+52
+00:03:20,530 --> 00:03:23,850
+بنتكلم ايش هو؟ Instance Based Instance Based يعني
+
+53
+00:03:23,850 --> 00:03:28,250
+بيعتمد على ال data set بدون بناء model بيعتمد على
+
+54
+00:03:28,250 --> 00:03:33,050
+ال data set بدون بناء ال models الموجودة وبالتالي
+
+55
+00:03:33,050 --> 00:03:38,230
+مافيش عندي اي model ولا بيعتمد فقط على العمل في ال
+
+56
+00:03:38,230 --> 00:03:41,650
+memory يعني بين ال جسيم ال computation وهذا بيديني
+
+57
+00:03:41,650 --> 00:03:46,580
+دائماالـ Result تبعته بناءً على ال majority تبعت
+
+58
+00:03:46,580 --> 00:03:49,600
+للجيران اللي موجود عينيه هان وقلنا بال K إنه أنا
+
+59
+00:03:49,600 --> 00:03:53,440
+لازم أحدد عدل العناصر اللي موجودة عينيهان ومرينا
+
+60
+00:03:53,440 --> 00:03:57,600
+بشكل سريع وقلنا كيف بحسب التشابه أو بحسب القرب أو
+
+61
+00:03:57,600 --> 00:04:00,680
+البعد ما بين النقاط أو ال objects وقلنا بيعتمد على
+
+62
+00:04:00,680 --> 00:04:03,740
+شغلة بنسميها similarity function و ال similarity
+
+63
+00:04:03,740 --> 00:04:06,620
+function هي لما تكون عندي أرقام معناته أنا بتكلم
+
+64
+00:04:06,620 --> 00:04:09,180
+على Euclidean distance أو Manhattan distance أو
+
+65
+00:04:09,180 --> 00:04:12,750
+غيرها من الشغلات هي وشوفنا المعادلاتمع بعضنا
+
+66
+00:04:12,750 --> 00:04:17,110
+وفرقنا بينهم وبين العناصر اللي موجودة ايش بيتطلب
+
+67
+00:04:17,110 --> 00:04:19,510
+من ال kennery snippet حسب ما شرحنا المحاضرة
+
+68
+00:04:19,510 --> 00:04:23,610
+الأخيرة كان بيتطلب مني ان احدد ال K و هي قولنا عدد
+
+69
+00:04:23,610 --> 00:04:26,910
+الجيران اللي انا بدي اعمل بينهم voting يعني لو
+
+70
+00:04:26,910 --> 00:04:30,150
+قولنا انا والله بدي اصنف الجار هذا او بدي اصنف ال
+
+71
+00:04:30,150 --> 00:04:32,330
+object الجديدة بناء على العناصر اللي موجودة
+
+72
+00:04:32,330 --> 00:04:36,210
+وبالتالي انا قاعد بقى اتكلم انه انا في عندى فعليا
+
+73
+00:04:37,240 --> 00:04:41,100
+عشر جيران حسب أغلبيتهم الأغلبية طبعا بتكلم هنا على
+
+74
+00:04:41,100 --> 00:04:45,880
+ستة الست إيش بتصنفه بروح بصنفهم تبع للست اللي
+
+75
+00:04:45,880 --> 00:04:50,720
+موجودين عندى بدي أحدد ال distance method اللي بدي
+
+76
+00:04:50,720 --> 00:04:53,940
+أستخدمها ك metric وبالتالي أنا بعد ما حددت ال K
+
+77
+00:04:53,940 --> 00:04:58,240
+بحسب ال distance بين ال sample اللي موجودة عندى
+
+78
+00:04:58,240 --> 00:05:01,300
+وكل ال data set اللي أو ال training set اللي
+
+79
+00:05:01,300 --> 00:05:04,580
+موجودة عندى هنا ممكن اعتمد ال Euclidean او ال
+
+80
+00:05:04,580 --> 00:05:08,410
+Manhattanبرتب البيانات وقولنا هذي موضوع الترتيب مش
+
+81
+00:05:08,410 --> 00:05:11,650
+مهم إلا غير لما تكون ال data set كبيرة بصير عليه
+
+82
+00:05:11,650 --> 00:05:16,150
+حصر عليه بسهل عليه أن أحصر العناصر الأقصر ال
+
+83
+00:05:16,150 --> 00:05:21,810
+kenyerist مجموعة العناصر العشرة أصحاب أقصر مسافة
+
+84
+00:05:21,810 --> 00:05:25,130
+ما بين ال sample الموجودين عندها بعمل بينهم voting
+
+85
+00:05:25,130 --> 00:05:28,300
+بحيث أن احدد المجارتينوشوفنا ال example الموجود
+
+86
+00:05:28,300 --> 00:05:33,040
+هنا وكيف اشتغلنا على ال Eclidean واذا بتتذكروا
+
+87
+00:05:33,040 --> 00:05:36,220
+المفروض ان المعادلة تبعتنا هذه حسب ال Eclidean
+
+88
+00:05:36,220 --> 00:05:40,420
+distance فيها الجدر التربيعي وطبعا لجماعة الخير
+
+89
+00:05:40,420 --> 00:05:43,440
+لما احنا بنتكلم الجدر التربيعي والجدر التربيعي
+
+90
+00:05:43,440 --> 00:05:48,400
+موجود في كل المعادلات انا من باب المقارنة ممكن انا
+
+91
+00:05:48,400 --> 00:05:54,050
+استغني عنه لأنه الكبير تحت الجدرأو أكبر عنصر تحت
+
+92
+00:05:54,050 --> 00:05:58,490
+الجذر هيظل أكبر عنصر خارج .. برا الجذر لما أنا ..
+
+93
+00:05:58,490 --> 00:06:03,670
+يعني مثلا جذر ال 16، جذر ال 25، جذر ال 13، جذر
+
+94
+00:06:03,670 --> 00:06:06,850
+التسعة، أصغر واحدة فيهم جذر التسعة، اللي هي تلاتة
+
+95
+00:06:08,510 --> 00:06:12,350
+هو أكبر واحدة فيهم جذر الخمسة وعشرين خمسة كذلك
+
+96
+00:06:12,350 --> 00:06:15,570
+الخمسة وعشرين هي أكبر value والتسعة هي أصغر value
+
+97
+00:06:15,570 --> 00:06:18,490
+موجودة عندي وبالتالي كنت أنا بقول انه ممكن من
+
+98
+00:06:18,490 --> 00:06:21,550
+ناحية calculation على السريع عشان أنا أخلص من
+
+99
+00:06:21,550 --> 00:06:26,930
+المقارنات السريعة ممكن أستغني عن الجذر التربيعي
+
+100
+00:06:26,930 --> 00:06:32,470
+وابقى ما زلت بتكلم على ال Eclidean distance وشوفنا
+
+101
+00:06:32,470 --> 00:06:36,150
+مع بعض ال example وانتهينا من ال example هذا قلنا
+
+102
+00:06:36,150 --> 00:06:40,660
+في حالةان والله كانت ال data set اللي موجودة عندي
+
+103
+00:06:40,660 --> 00:06:44,960
+بتحتوي على nominal attributes او categorial
+
+104
+00:06:44,960 --> 00:06:48,300
+attributes قلنا هان بيلزمني ان انا فعليا اشوف
+
+105
+00:06:48,300 --> 00:06:52,260
+طريقة لان مابقدرش احسب مسافة ما بين عنصرين لو
+
+106
+00:06:52,260 --> 00:06:57,080
+اجينا اقول انا والله مثلا انا male و female في ال
+
+107
+00:06:57,080 --> 00:07:02,760
+gender attribute ال distance بينهم جداش مش هقدر
+
+108
+00:07:02,760 --> 00:07:08,840
+اتكلم عليهم وبالتالي الآن لو اجينا اقول انا احمدو
+
+109
+00:07:08,840 --> 00:07:14,120
+أحمد مع ال E اللي في الوسط هنا جدّيش ال distance
+
+110
+00:07:14,120 --> 00:07:17,120
+بينهم طبعا إحنا متفقين إن الأسماء مابتدخلش في
+
+111
+00:07:17,120 --> 00:07:20,200
+الحسبة اللي عندي لأنه دائما useless وبالتالي أنا
+
+112
+00:07:20,200 --> 00:07:23,900
+خلال ال preparation بقى أشيلها لكن في الآخر لما
+
+113
+00:07:23,900 --> 00:07:26,580
+بكون أنا في عندي string أو text أو زي ما سمناها
+
+114
+00:07:26,580 --> 00:07:29,520
+لغة ال data mining categorical data أو nominal
+
+115
+00:07:29,520 --> 00:07:33,170
+dataكيف بدي أحسبهم أو بدي أحسب المقارنة بينهم؟ هذا
+
+116
+00:07:33,170 --> 00:07:35,970
+الكلام صعب في الـEuclidean distance و المنهاتين
+
+117
+00:07:35,970 --> 00:07:40,510
+فلو في الكنياري سنيبر فبتصير أنا أشتغل هل فعليا ال
+
+118
+00:07:40,510 --> 00:07:43,730
+term هدولة match إذا كانت ال two terms match
+
+119
+00:07:43,730 --> 00:07:47,050
+معناته بحطلهم صفر إذا ال two terms مختلفات يعني
+
+120
+00:07:47,050 --> 00:07:50,590
+أبعد ما يمكن عن بعض أو بعاد عن بعض بحط الفرق بينهم
+
+121
+00:07:50,590 --> 00:07:56,170
+واحد وطبعا حكينا بعد هي كده عن مهمية ال scaling في
+
+122
+00:07:56,170 --> 00:08:01,120
+موضوع الكنياري سنيبروقلنا من أهمه .. أهم ميزاته
+
+123
+00:08:01,120 --> 00:08:04,160
+robustness باتجاه الـ noisy data و ال
+
+124
+00:08:04,160 --> 00:08:08,420
+effectiveness في موضوع مرحلة ال training ال
+
+125
+00:08:08,420 --> 00:08:13,100
+disadvantages تحديد ال K .. أي K هي الأكتر مناسبة
+
+126
+00:08:13,100 --> 00:08:17,740
+للموضوع اللي أنا بأشغل عليه ال distanceمفهوم not
+
+127
+00:08:17,740 --> 00:08:20,380
+clear خصوصا لما ظهرت عندي ال categorical data و
+
+128
+00:08:20,380 --> 00:08:23,940
+هذه موجودة عندها ال computation cost عالية تخيل ال
+
+129
+00:08:23,940 --> 00:08:27,040
+data set فيها مائة الف record وبالتالي لما انا بدي
+
+130
+00:08:27,040 --> 00:08:29,680
+اعمل evaluation او عفوا بدي اعمل prediction ل
+
+131
+00:08:29,680 --> 00:08:34,520
+class ل one example معناته بيدروح احسبمئة ألف
+
+132
+00:08:34,520 --> 00:08:38,180
+distance طيب لو كانت في عندي في المقابل في عندي
+
+133
+00:08:38,180 --> 00:08:42,960
+عشرة او مية بدي اعملهم testing مية في مائة ألف
+
+134
+00:08:42,960 --> 00:08:46,440
+معناته احنا صارنا بتكلمها عشرة مليون تقريبا
+
+135
+00:08:46,440 --> 00:08:51,160
+computation وبالتالي العملية شوية هتاخد مني وجهة
+
+136
+00:08:51,160 --> 00:08:55,540
+طويلة الان لما شوفنا ال code أهم في ال code السادق
+
+137
+00:08:55,540 --> 00:09:00,890
+اذا كنا بتتذكروا معانا بدي اعمل importأخذت من أسكي
+
+138
+00:09:00,890 --> 00:09:08,330
+لير نيبرز أسكي لير نيبرز نيبرز أسكي لير نيبرز
+
+139
+00:09:08,330 --> 00:09:11,520
+نيبرز نيبرزتبعت ال K nearest neighbor و اتديته ال
+
+140
+00:09:11,520 --> 00:09:15,420
+K تبعتي equal خمسة و هنا نتذكر قلنا دائما ال X
+
+141
+00:09:15,420 --> 00:09:18,680
+تبعتك او ال K تبعتك لازم تكون فيها لازم تكون large
+
+142
+00:09:18,680 --> 00:09:22,660
+enough و تكون دائما تقدر تديني ال predictions او
+
+143
+00:09:22,660 --> 00:09:25,780
+تعمل ال voting الصح لأنه مش معقول مثلا تكون في
+
+144
+00:09:25,780 --> 00:09:28,640
+عندي two binary او two labels و اروح اقول والله
+
+145
+00:09:28,640 --> 00:09:32,510
+بدي اخد مثلا اربعة او ستةستة يعني الاحتمال انه
+
+146
+00:09:32,510 --> 00:09:35,270
+ممكن يكون خمسة خمسة على الاقل انا بحتاج اد في حالة
+
+147
+00:09:35,270 --> 00:09:38,510
+ال binary classification عشان اقدر انه ال voting
+
+148
+00:09:38,510 --> 00:09:42,710
+بينحاز لواحد من ال classes اللي موجودة عندهم و
+
+149
+00:09:42,710 --> 00:09:46,950
+اتذكر تماما و اتذكروا جميعا انه انا هلأ لما اتكلمت
+
+150
+00:09:46,950 --> 00:09:50,050
+على ال kenya restaurantneighbors و اديته ال test
+
+151
+00:09:50,050 --> 00:09:53,110
+attribute test sample تبعتي اللي انا بنيتها هان و
+
+152
+00:09:53,110 --> 00:09:56,710
+مع ال key تبعتي ال equal خمسة فعليا راح اداني من
+
+153
+00:09:56,710 --> 00:09:59,990
+هم العناصر هدول و جداش ال distances اللي موجودة
+
+154
+00:09:59,990 --> 00:10:03,890
+بينهم وضل علي انا ان ارجع على ال data set اجيب ال
+
+155
+00:10:03,890 --> 00:10:07,830
+label تبعتي العناصر هدول و اعمل بينهم voting كان
+
+156
+00:10:07,830 --> 00:10:11,530
+هذا .. لحد احنا نهينا محاضرتنا السادقة عند ال
+
+157
+00:10:11,530 --> 00:10:16,340
+example هذا و بتمنىان يكون انجحت على عجالة ان
+
+158
+00:10:16,340 --> 00:10:22,180
+اذكرك بعد انقطاع اسبوع من الدراسة بما سبق في موضوع
+
+159
+00:10:22,180 --> 00:10:26,760
+ال classificationلكن تعالى نشوف قبل ما ننتقل
+
+160
+00:10:26,760 --> 00:10:29,320
+للموضوع الجديد تعالى نشوف هذا المثال المفروض ان
+
+161
+00:10:29,320 --> 00:10:31,700
+هذا المثال مش موجود معاكوا في ال slides فانت
+
+162
+00:10:31,700 --> 00:10:34,100
+المفروض انت المفروض ال slides معاكوا و بتبدوا
+
+163
+00:10:34,100 --> 00:10:38,840
+تراجعوا عليها باستمرار لو انا نظرتلك لل attributes
+
+164
+00:10:38,840 --> 00:10:42,800
+او لل data set اللي موجودة عندهان وجاوب معايا او
+
+165
+00:10:42,800 --> 00:10:46,240
+جاوبوا معايا على السؤال التالي ايش ال data type
+
+166
+00:10:46,240 --> 00:10:50,840
+تبع ال outlook المفروض
+
+167
+00:10:50,840 --> 00:10:52,360
+nominal صحيح
+
+168
+00:10:55,100 --> 00:11:00,320
+الـ data type تبع ال temperature numeric
+
+169
+00:11:00,320 --> 00:11:03,800
+وإن
+
+170
+00:11:03,800 --> 00:11:10,700
+قلت انت ratio او ال interval كلامك صحيح ك interval
+
+171
+00:11:10,700 --> 00:11:15,300
+مش ك ratio nominal nominal ال golf play أو play
+
+172
+00:11:15,300 --> 00:11:18,820
+golf binary classification يعني عندي two labels
+
+173
+00:11:18,820 --> 00:11:23,160
+yes و no حسب ال data set اللي موجودة عندي و
+
+174
+00:11:23,160 --> 00:11:29,460
+المطلوب ان اناأروح أجيب ال class تبعت ال instance
+
+175
+00:11:29,460 --> 00:11:36,100
+اللي فيها ال sunny وهذه طبعا في ال outlook ال
+
+176
+00:11:36,100 --> 00:11:39,800
+temperature بعد
+
+177
+00:11:39,800 --> 00:11:44,440
+هي كان ال humidity و ال windy
+
+178
+00:11:47,670 --> 00:11:51,910
+الان مع الـ K equal واحد والـ K equal تلاتة والـ K
+
+179
+00:11:51,910 --> 00:11:56,670
+equal خمسة طبعا ملاحظين بالمثال الآن في الأمثلة
+
+180
+00:11:56,670 --> 00:11:59,610
+السابقة اللي اشتغلنا عليها كانت فقط عند الـ
+
+181
+00:11:59,610 --> 00:12:03,250
+numeric data طب الآن لأ صار في عندي nominal وفي
+
+182
+00:12:03,250 --> 00:12:06,840
+عندي numericطبعا ليش المثال هذا أنا تعمدت أجيبه
+
+183
+00:12:06,840 --> 00:12:09,840
+اليوم تعمدت أجيبه عشان أقولك في الحالة اللي زي هذه
+
+184
+00:12:09,840 --> 00:12:13,520
+أنا هتكون في عندي dominant attribute يعني في عندي
+
+185
+00:12:13,520 --> 00:12:17,800
+attribute هو المسيطر هو اللي هياخد ال data set أو
+
+186
+00:12:17,800 --> 00:12:20,920
+ال classification process بمنحاه يعني بينجو سين هو
+
+187
+00:12:20,920 --> 00:12:25,040
+هيكون صاحب القرار تخيل خلينا نشتغل مع بعض من باب
+
+188
+00:12:25,040 --> 00:12:29,450
+التسهيل نشتغل على موضوع المنهات in distanceحسب الـ
+
+189
+00:12:29,450 --> 00:12:31,610
+Manhattan distance يعني انا بدي استخدم الـ
+
+190
+00:12:31,610 --> 00:12:34,170
+absolute value هو بيقول في ال Manhattan ال
+
+191
+00:12:34,170 --> 00:12:44,510
+summation لل X ناقص X واحد X اتنين و I اعفوا I
+
+192
+00:12:44,510 --> 00:12:50,490
+واحد و I اتنين و I equal واحد مع كل ال attributes
+
+193
+00:12:50,490 --> 00:12:53,550
+اللي موجودة عندها هذا في حالة ال numerical طب في
+
+194
+00:12:53,550 --> 00:12:58,760
+حالة ال ..الـ nominal معناته انا بدي استخدم صفر في
+
+195
+00:12:58,760 --> 00:13:02,760
+حالة التساوي الواحد في حالة الاختلاف وبالتالي
+
+196
+00:13:02,760 --> 00:13:07,080
+بتصير المعادلة اللي عندي هان الان sunny و sunny
+
+197
+00:13:07,080 --> 00:13:17,740
+الفرق بينهم zero زائد ال absolute value 45 ناقص 18
+
+198
+00:13:17,740 --> 00:13:27,830
+زائد high و normal الاختلاف واحدزائد true و false
+
+199
+00:13:27,830 --> 00:13:32,330
+اختلاف بينهم واحد معناته هي القيمة اللي موجودة
+
+200
+00:13:32,330 --> 00:13:39,150
+عندى اللي بعدها sunny zero زائد تلاتة و أربعين
+
+201
+00:13:39,150 --> 00:13:46,890
+ناقص تمانتعش زائد high واحدة مختلفة true zero و
+
+202
+00:13:46,890 --> 00:13:50,710
+هكذا طبعا حنا بنتكلم احنا عندى هنا سبعة و عشرين
+
+203
+00:13:50,710 --> 00:13:54,290
+سبعة و عشرين و اتنين هنا تسعة و عشرين هنا في عندى
+
+204
+00:14:20,610 --> 00:14:24,670
+ملاحظين دائما ال attribute الخاص بال temperature
+
+205
+00:14:24,670 --> 00:14:25,050
+هنا
+
+206
+00:14:27,900 --> 00:14:31,880
+هيكون هو الـ dominant attribute لأنه فعليا المساء
+
+207
+00:14:31,880 --> 00:14:35,480
+هو اللي بيقرر وزنه او ال scale تبعته ال weight
+
+208
+00:14:35,480 --> 00:14:38,800
+تبعته في موضوع ال computation تبعتي بتفرق كبير
+
+209
+00:14:38,800 --> 00:14:43,960
+كتير عن العناصر التانية او ال attributes التانية
+
+210
+00:14:43,960 --> 00:14:48,040
+اللي موجودة طيب بدنا نكمل ال computation هنكمل ال
+
+211
+00:14:48,040 --> 00:14:51,420
+computation هاي ال computation بالكامل موجودة الآن
+
+212
+00:14:51,420 --> 00:14:53,040
+قدامي ممتاز
+
+213
+00:15:00,250 --> 00:15:02,470
+طبعا مافيش مشكلة .. مش فارق .. احنا اتفقنا سابق ان
+
+214
+00:15:02,470 --> 00:15:05,530
+جربنا بال inclusion جربنا بالمنهاتين وماكانش كتير
+
+215
+00:15:05,530 --> 00:15:09,010
+الفرق ما بينهم ..الان تسعة و عشرين .. ستة و عشرين
+
+216
+00:15:09,010 --> 00:15:11,970
+.. ستة و عشرين .. واحد و عشرين .. الى اخره .. بدي
+
+217
+00:15:11,970 --> 00:15:15,350
+حسب ال Kenya nearest neighbor ..الان يا جماعة
+
+218
+00:15:15,350 --> 00:15:20,190
+الخير بدك تنتبه لشغل مهم جدا .. بالمثال هذا واضح
+
+219
+00:15:20,190 --> 00:15:23,090
+ان في عندي high distance اعطتني اتنين
+
+220
+00:15:26,920 --> 00:15:31,440
+تنين وهي كمان واحدة تنين لما أنا بدي أعمل sorting
+
+221
+00:15:31,440 --> 00:15:34,600
+تبع لل distance حسب الخطوة السابقة اللي حكينا فيها
+
+222
+00:15:34,600 --> 00:15:38,860
+أول واحدة لإنه هذه .. لما يقولوا sort لل data set
+
+223
+00:15:38,860 --> 00:15:44,660
+تبع لل distance اللي صارت التنين هذه هتظهر أول
+
+224
+00:15:44,660 --> 00:15:49,780
+واحدة ليش؟ لأنه الآن لما بتتساوى القيم بصير ظهور
+
+225
+00:15:49,780 --> 00:15:52,800
+تبع ال value هو الأول هو اللي بياخد في الترتيب
+
+226
+00:15:53,670 --> 00:15:56,810
+الظهور تبع ال values هي اللي بتاخد في الترتيب
+
+227
+00:15:56,810 --> 00:16:00,570
+وبالتالي هذي هتكون أول واحدة فوق الآن لو انا و ال
+
+228
+00:16:00,570 --> 00:16:03,390
+key and nearest neighbor equal one ايش ال key
+
+229
+00:16:03,390 --> 00:16:09,510
+تبعتي او ال label تبعتي true وبالتالي هتكون عندي
+
+230
+00:16:09,510 --> 00:16:15,170
+yes طيب في حالة ان ال key تبعتي equal تلاتة تلاتة
+
+231
+00:16:15,170 --> 00:16:20,210
+هي واحدة تنتين تلاتة معناته هي واحدة هي تنتين هي
+
+232
+00:16:20,210 --> 00:16:26,420
+تلاتةالـ majority بينهم تنتين yes و واحدة no يعني
+
+233
+00:16:26,420 --> 00:16:33,080
+بنتكلم على 66% yes و 33% no وبالتالي ال majority
+
+234
+00:16:33,080 --> 00:16:39,420
+تبعتي ل playing golf equal yes تمام الخطوة الأخيرة
+
+235
+00:16:39,420 --> 00:16:44,540
+لو أنا قلتله K equal خمسة K equal خمسة معناته بده
+
+236
+00:16:44,540 --> 00:16:51,320
+يدور على ال shortest distances أي واحدة تنتينهذه
+
+237
+00:16:51,320 --> 00:17:00,640
+تلاتة وهذه أربعة وهذه خمسة ال label سبعتهم واحدة
+
+238
+00:17:00,640 --> 00:17:07,980
+تنتين تلاتة أربعة وهذه خمسةالآن بدي أعمل voting ما
+
+239
+00:17:07,980 --> 00:17:11,080
+بين الخمسة اللي موجودة عندي واحدة، اتنين، تلاتة،
+
+240
+00:17:11,080 --> 00:17:14,960
+أربعة yes تمانين في المية yes وعشرين في المية no
+
+241
+00:17:14,960 --> 00:17:19,480
+وبالتالي لما تكون ال key تبعتي equal five معناته
+
+242
+00:17:19,480 --> 00:17:22,400
+برضه ال golf تبعتي أو ال playing golf يعني فرصة
+
+243
+00:17:22,400 --> 00:17:25,580
+أني ألعب ال golf في الظروف المناخية اللي موجودة في
+
+244
+00:17:25,580 --> 00:17:27,920
+ال data set اللي موجودة عندي فوجها اللي أشارناها
+
+245
+00:17:27,920 --> 00:17:30,480
+yes تمام
+
+246
+00:17:32,780 --> 00:17:38,280
+طيب سؤال ونفرض تقدروا تجاوبه عليه بما انه هذا ال
+
+247
+00:17:38,280 --> 00:17:41,400
+attribute هو ال dominant attribute يعني هو صاحب
+
+248
+00:17:41,400 --> 00:17:45,500
+القرار في موضوع ال classification درجة الحرارة في
+
+249
+00:17:45,500 --> 00:17:49,120
+حين انت لو انت تخيلنا ان لو كان الجو ماطر ممكن
+
+250
+00:17:49,120 --> 00:17:54,140
+يأثر في لعبة ال golf ولا مش هيأثر؟ بتعرفوش ايش
+
+251
+00:17:54,140 --> 00:17:58,710
+يعني لعبة golf؟ممكن تشوفوا اليوتيوب how to play
+
+252
+00:17:58,710 --> 00:18:01,770
+golf وبيعلموكوا إياه و تتفرجوا عليها في الآخر هي
+
+253
+00:18:01,770 --> 00:18:06,370
+رياضة بالعصب و بيضربوا الكورة عشان يسقطها في حفرة
+
+254
+00:18:06,370 --> 00:18:10,750
+الآن بما أن هذا ال dominant attribute ايش الحلول
+
+255
+00:18:10,750 --> 00:18:15,690
+اللي قدامي؟ وهل لو أنا غيرت ممكن احصل على
+
+256
+00:18:15,690 --> 00:18:20,590
+different result؟ اه ممكن اول حل موجود قدامي تماما
+
+257
+00:18:20,590 --> 00:18:27,330
+زي ما بتبادر لذهنك الآن ان اعمل scalingصحيح ممكن
+
+258
+00:18:27,330 --> 00:18:31,710
+انا اعمل scaling لو صارت هذه اربعة و نص اربعة و
+
+259
+00:18:31,710 --> 00:18:36,110
+تلاتة من عشرة اربعة point واحد تلاتة point ستة
+
+260
+00:18:36,110 --> 00:18:40,770
+واحد point تمانية واحد point سبعة اتنين point zero
+
+261
+00:18:40,770 --> 00:18:45,410
+تلاتة point تلاتة واحد point ستة تلاتة point اتنين
+
+262
+00:18:45,410 --> 00:18:49,850
+اتنين point تلاتة اتنين point اربعة اربعة point
+
+263
+00:18:49,850 --> 00:18:54,730
+zero تلاتة point اتنين و طبيعتي الحال هتصير واحد
+
+264
+00:18:54,730 --> 00:18:55,070
+point
+
+265
+00:18:57,730 --> 00:19:00,870
+8 ايش اللي صار عندى بعد ال scaling طبعا اعمل ال
+
+266
+00:19:00,870 --> 00:19:04,870
+ratio جسمتها على عشرة او ضربت في عشر او سالب واحد
+
+267
+00:19:04,870 --> 00:19:10,170
+شو بتتوقع تصير ال distance هتقل بين جثين هتصير فيه
+
+268
+00:19:10,170 --> 00:19:16,310
+عندى انا اربعة و نص ناقص واحد و تمانيةاللي هي بين
+
+269
+00:19:16,310 --> 00:19:21,510
+جثين 2.9 لاحظوا أن 2.9 صارت قريبة من القيم اللي
+
+270
+00:19:21,510 --> 00:19:25,970
+موجودة وإذا كمان روحت دربت في عشر أو سالب 2 ممكن
+
+271
+00:19:25,970 --> 00:19:32,650
+أقلل ال weight تبعته بتصير ال value balance تفكير
+
+272
+00:19:32,650 --> 00:19:38,110
+منطقي لكن هل فعليا يقودني للنتيجة أفضل بده تجربة
+
+273
+00:19:38,110 --> 00:19:42,650
+وعشان بناء على هيك اعتبرها assignment لك واتقارنه
+
+274
+00:19:42,650 --> 00:19:48,580
+ما بينفي حالة كانت ال ratio اعملت ratio data تمام
+
+275
+00:19:48,580 --> 00:19:55,220
+او اشتغلت على ال numeric data اللي موجودة حل
+
+276
+00:19:55,220 --> 00:20:00,960
+التاني هل في حلول تانية اه في حلول تانية استحثوا
+
+277
+00:20:00,960 --> 00:20:05,440
+ادمغاتكوا هوش الشغلات اللي كنا بنسويها مع ال data
+
+278
+00:20:05,440 --> 00:20:08,820
+الموجودة جماعة الخير انا بتكلم على درجة الحرارة
+
+279
+00:20:08,820 --> 00:20:14,970
+درجة الحرارة شو يعني عادة لما بنقول درجة الجولو
+
+280
+00:20:14,970 --> 00:20:18,010
+سألك كيف الجو اليوم يا فلان أو يا فلانة والله الجو
+
+281
+00:20:18,010 --> 00:20:23,150
+حار شوب كتير بارد ماحدش بيقوللي عشرين و تلاتة أو
+
+282
+00:20:23,150 --> 00:20:26,510
+اربعين وكذا فبالتالي ممكن لو انا .. بالضبط لو انا
+
+283
+00:20:26,510 --> 00:20:31,030
+حولتها ل categorial ممكن تفرج معايا طيب هاي حولتها
+
+284
+00:20:31,030 --> 00:20:38,650
+ل categorial شو يعني categorial؟ ان
+
+285
+00:20:38,650 --> 00:20:41,390
+انا حطيتها لفئات تبقى على ال data set اللي موجودة
+
+286
+00:20:41,390 --> 00:20:48,970
+عندىعشان بس تكونوا في الصورة من عشرين أقل أو تساوي
+
+287
+00:20:48,970 --> 00:20:55,650
+عشرين استخدمنا cool أكبر
+
+288
+00:20:55,650 --> 00:21:03,330
+من عشرين وأقل أو تساوي أربعين استخدم أقل من أربعين
+
+289
+00:21:03,330 --> 00:21:10,770
+عفوا استخدمنا mild وفوق الأكبر أو تساوي الأربعين
+
+290
+00:21:13,100 --> 00:21:18,600
+روحنا استخدمنا ال hot اتذكروا
+
+291
+00:21:18,600 --> 00:21:23,120
+ان كانت عندي hand تمانتاش درجة الحرارة في ال test
+
+292
+00:21:23,120 --> 00:21:26,820
+sample اللي موجودة عندي hand الآن وبالتالي لما انا
+
+293
+00:21:26,820 --> 00:21:30,820
+بداجي افحص درجة الحرارة اللي موجودة خمسة و أربعين
+
+294
+00:21:30,820 --> 00:21:35,940
+hot تلاتة و أربعين hot واحدة و أربعين hot ستة و
+
+295
+00:21:35,940 --> 00:21:41,060
+تلاتين mild cool cool cool mild cool
+
+296
+00:21:45,290 --> 00:21:52,930
+Mild Mild Hot Mild تمام؟
+
+297
+00:21:52,930 --> 00:21:55,950
+هذه ال data set و بينما هذه ال 18 هتكون عندي cool
+
+298
+00:21:55,950 --> 00:21:59,790
+الآن صارت كل ال data عندي categorical و بانجو سين
+
+299
+00:21:59,790 --> 00:22:04,310
+صارت كل ال attributes اللي عند نفس ال weight شو
+
+300
+00:22:04,310 --> 00:22:10,430
+ضال علي أحسب ال distanceطيب انا هسكت دقيقة هعمل
+
+301
+00:22:10,430 --> 00:22:15,270
+pause دقيقة اتركلك مجال اجيش الحسبة تبعتي استخدم
+
+302
+00:22:15,270 --> 00:22:19,050
+Manhattan ولا استخدم ال Euclidean distance لحساب
+
+303
+00:22:19,050 --> 00:22:22,690
+ال similarity ما بين العناصر اللي موجودة عندنا
+
+304
+00:22:28,290 --> 00:22:32,770
+طيب ..الان بما ان كل ال data categorial معناته صفر
+
+305
+00:22:32,770 --> 00:22:35,830
+و واحد هتصير المعادلة تبعتي و خلينا مش فارق كتير
+
+306
+00:22:35,830 --> 00:22:39,530
+معايا من هاتن او اكلوديا مش فارق كتير في الآخر انا
+
+307
+00:22:39,530 --> 00:22:45,570
+بدي اجمع أصفار و واحدات sunny و sunny zero زائد
+
+308
+00:22:45,570 --> 00:22:51,390
+hot و cool واحد انه اتفقنا في حالة التشابه صفر في
+
+309
+00:22:51,390 --> 00:22:58,750
+حالة الاختلاف واحدزائد normal و high واحد زائد
+
+310
+00:22:58,750 --> 00:23:03,690
+false و true واحد وبالتالي هذه القيمة تلاتةالـ
+
+311
+00:23:03,690 --> 00:23:09,170
+attribute اللي بعدها sunny 0 زائد hot واحد زائد
+
+312
+00:23:09,170 --> 00:23:13,950
+واحد زائد صفر وهذا يساوي اتنين و لاحظ لاحظ كل ال
+
+313
+00:23:13,950 --> 00:23:17,030
+values تبعتي بالدور حوالين ال range اللي موجود
+
+314
+00:23:17,030 --> 00:23:21,410
+عندي هان اما بين الأربعة والصفر هذه القيم اللي
+
+315
+00:23:21,410 --> 00:23:25,070
+موجودة عندي هان طبعا انا مجهز هان عشان مانجضيش
+
+316
+00:23:25,070 --> 00:23:29,190
+الوقت في الحساب هذه
+
+317
+00:23:29,190 --> 00:23:30,510
+ال computation بالكامل
+
+318
+00:23:35,230 --> 00:23:47,810
+تمام؟ shortest distance مع ال k equal واحد اتنين
+
+319
+00:23:47,810 --> 00:23:54,590
+اول اتنين هي .. لأ في عندي واحد هيها ال
+
+320
+00:23:54,590 --> 00:24:03,970
+label تبعتها no وال label هيختلفت عن السابقةفي
+
+321
+00:24:03,970 --> 00:24:07,210
+المثال السابق كانت لما الـK تبعتي equal واحد كان
+
+322
+00:24:07,210 --> 00:24:12,990
+بيقوللي ألعب تمام؟ وبالتالي لما أنا اشتغلت هاين
+
+323
+00:24:12,990 --> 00:24:18,450
+بيقوللي no هيها ليش محدش يقوللي لأن؟ ليش يا دكتور
+
+324
+00:24:18,450 --> 00:24:21,470
+مش هذه ال yes هي اللي كانت؟ لأن عندي ال sorting
+
+325
+00:24:21,470 --> 00:24:24,990
+هذا ال attribute أو عفوًا هذا الروح هياخد المرتبة
+
+326
+00:24:24,990 --> 00:24:29,550
+الأولى يعني بينجو سي لما انت بتجي ترتب خلينا نتكلم
+
+327
+00:24:29,550 --> 00:24:33,110
+بال bubble sortشو مفهوم ال bubble sort؟ بضلني
+
+328
+00:24:33,110 --> 00:24:36,590
+أقارن العنصر لما بلاقي أصغر عنصر مابدأياش أساوي
+
+329
+00:24:36,590 --> 00:24:41,210
+فيه أحركه للأعلى بضلني أقارن العنصر مع عناصر
+
+330
+00:24:41,210 --> 00:24:44,370
+الجابلة لحد ما بلاقي أصغر عنصر بصير أرفعه بهيك أنا
+
+331
+00:24:44,370 --> 00:24:50,430
+بأضمن بدور على ال minimum value بروح بحطها فوق
+
+332
+00:24:50,430 --> 00:24:54,330
+بدور على ال minimum و بعملها shift وهكذا وبالتالي
+
+333
+00:24:55,510 --> 00:24:59,750
+هذه هي أول واحدة ستحصل عليها انت مش مصدق؟ خد ال
+
+334
+00:24:59,750 --> 00:25:06,270
+data set هذه على ال Excel و اعمل لها sort تبعا لل
+
+335
+00:25:06,270 --> 00:25:09,350
+distance و ستجد ان ال attribute هذه ستكون أول
+
+336
+00:25:09,350 --> 00:25:15,430
+attribute موجود عندك تمام؟ لو ال K equal 3 هاي
+
+337
+00:25:15,430 --> 00:25:22,000
+واحد وهي واحدو هاي واحد انا عندي اربعة فهاخد اول
+
+338
+00:25:22,000 --> 00:25:27,040
+تلاتة واحد اتنين تلاتة ال majority تبعتهم yes
+
+339
+00:25:27,040 --> 00:25:32,960
+وبالتالي هتكون yes لو قلتله خمسة هضيف الواحد هذه
+
+340
+00:25:32,960 --> 00:25:37,740
+معاهم كمان و هتيجي وراهم الاتنين هذه الآن تعالى
+
+341
+00:25:37,740 --> 00:25:39,260
+نشوف ال label اللي صارت عندي هنا
+
+342
+00:25:42,540 --> 00:25:49,660
+صار في عندى 1 2 3 60% yes و 40% no وبالتالي لما
+
+343
+00:25:49,660 --> 00:25:52,980
+تكون الخمسة ال K تبعتي equal خمسة معناته المجلة
+
+344
+00:25:52,980 --> 00:25:58,180
+تبعتي بتقول yes ملاحظين معايا تأثير فعليا ال
+
+345
+00:25:58,180 --> 00:26:01,770
+processing على ال data set جداش مهم جداش مهمبتمنى
+
+346
+00:26:01,770 --> 00:26:05,610
+ان تكون هذه الموضوع اصبح اليوم يعني من بدهيات
+
+347
+00:26:05,610 --> 00:26:11,210
+لديكم ومن ثم انه احنا فعليا اصبحت غطينا كل جوانب
+
+348
+00:26:11,210 --> 00:26:14,370
+الـk nearest neighbor ان شاء الله تبارك وتعالى
+
+349
+00:26:14,370 --> 00:26:19,510
+تمام الآن هنتقل ان شاء الله تبارك وتعالى لل
+
+350
+00:26:19,510 --> 00:26:23,690
+algorithm التاني لل algorithm التاني اللي هو بيبني
+
+351
+00:26:23,690 --> 00:26:28,390
+شبه model تمام وبيعتمد على ال probabilisticالـ
+
+352
+00:26:28,390 --> 00:26:32,050
+classification هيعتمد على نظرية الاحتمالات في ال
+
+353
+00:26:32,050 --> 00:26:36,750
+classification و فهمها اللي
+
+354
+00:26:36,750 --> 00:26:41,690
+هو ال naive Bayesian algorithm او ال bias يعني
+
+355
+00:26:41,690 --> 00:26:45,790
+classification وبالتحديد ال naive bias classifier
+
+356
+00:26:45,790 --> 00:26:50,390
+طيب
+
+357
+00:26:50,390 --> 00:26:56,640
+الان احنا اتفقنا .. اتفقنا سابقاإن الكنيري سنابر
+
+358
+00:26:56,640 --> 00:27:02,340
+هو عبارة عن instance based model مصبوط يعني بيعتمد
+
+359
+00:27:02,340 --> 00:27:06,420
+دائما في كل مرة مع كل sample بروح بعمل حسبة لل
+
+360
+00:27:06,420 --> 00:27:09,440
+distance من ال sample الأولى في ال training set لل
+
+361
+00:27:09,440 --> 00:27:13,220
+sample الأخيرة تمام وبدور على ال data set اللي
+
+362
+00:27:13,220 --> 00:27:19,760
+موجودة عندها في ال bison شوية الأمور مختلفة ال
+
+363
+00:27:19,760 --> 00:27:24,970
+bison modelأو الـ Naive bias هو عبارة عن very fast
+
+364
+00:27:24,970 --> 00:27:29,910
+model وsimple classification في نفس الوقت مناسب
+
+365
+00:27:29,910 --> 00:27:33,450
+جدا مع ال high dimensional data set اللي موجودة
+
+366
+00:27:33,450 --> 00:27:38,330
+عندي لأنه
+
+367
+00:27:38,330 --> 00:27:41,250
+فعليا مافيش فيه براميتر لو كانت فيه برامتر موجودة
+
+368
+00:27:41,250 --> 00:27:44,730
+مافيش فيه برامتر كتير أعتمد عليها العناصر أو الـ
+
+369
+00:27:44,730 --> 00:27:49,690
+Naive bias بشكل عام بيعتمد على ال probabilisticو
+
+370
+00:27:49,690 --> 00:27:54,410
+بوصف العلاقة ما بين العناصر او ال attributes و ال
+
+371
+00:27:54,410 --> 00:27:59,790
+label بناء على احتمالات خلّينا نيجي نقول اذكركوا
+
+372
+00:27:59,790 --> 00:28:03,090
+بس بالاحتمالات اللي موجودة عندى هان لو كان انا في
+
+373
+00:28:03,090 --> 00:28:11,870
+عندى صندوق بيحتوي على عشر sample 6
+
+374
+00:28:11,870 --> 00:28:17,410
+plus و 4 minus
+
+375
+00:28:25,310 --> 00:28:32,810
+الان بلاش plus خلينا نحق عمود بالشكل هذا لحاجة في
+
+376
+00:28:32,810 --> 00:28:39,670
+بالي يعني الان وجيت قلتلك قداش احتمال انه يطلع
+
+377
+00:28:39,670 --> 00:28:42,770
+معايا plus عشان بس نذكرك بالاحتمالات
+
+378
+00:28:45,650 --> 00:28:49,910
+6 على 10 صحيح ال probability تبعت ال plus 6 على 10
+
+379
+00:28:49,910 --> 00:28:56,810
+و ال probability طبعا
+
+380
+00:28:56,810 --> 00:29:02,310
+عشرة هي حجم ال space اللي انا population اللي انا
+
+381
+00:29:02,310 --> 00:29:10,010
+بقى اشتغل عليها طبعا هذه 4 على 10 الآن
+
+382
+00:29:10,010 --> 00:29:16,670
+في عند مصطلحات زي ال most likelyالـ prior الـ
+
+383
+00:29:16,670 --> 00:29:20,530
+posterior الـ probability إلى آخرها الـ posterior
+
+384
+00:29:20,530 --> 00:29:23,130
+السابق الـ most likely اللي هي الأغلب الظن أو
+
+385
+00:29:23,130 --> 00:29:26,870
+الغلبة العناصر الموجودة أو الأكثر احتمالا و كل هذه
+
+386
+00:29:26,870 --> 00:29:30,210
+الحسبة تباعتي بناء على ال probabilities احنا
+
+387
+00:29:30,210 --> 00:29:33,770
+متفقين الآن .. احنا متفقين الآن ان انا هي ال
+
+388
+00:29:33,770 --> 00:29:36,130
+probability تباعتي لكن لو انا جيت و قلتلك مش بس
+
+389
+00:29:36,130 --> 00:29:41,670
+على ال final shape و بدخل معاها ال color و روحت و
+
+390
+00:29:41,670 --> 00:29:43,670
+قلتلك في عندي ال dash هذه
+
+391
+00:29:49,240 --> 00:30:00,200
+شو هتساوي؟ عليش هتصنفها؟ plus ولا column؟ مش هتقدر
+
+392
+00:30:00,200 --> 00:30:05,940
+تصنفها ليش؟ لإن هذه لا هي column ولا هي جاية plus
+
+393
+00:30:06,640 --> 00:30:10,880
+طيب إذا أنا قلتلك اللون جزء من حسبك شوبك تساوي
+
+394
+00:30:10,880 --> 00:30:15,320
+معناته هتختلف معايا الحسبة تماما و هصير ابني انا
+
+395
+00:30:15,320 --> 00:30:20,140
+اخد علاقة الشكل مع ال label و علاقة اللون مع ال
+
+396
+00:30:20,140 --> 00:30:22,920
+label و بناء انا على ال probability ال probability
+
+397
+00:30:22,920 --> 00:30:28,320
+تبعت الأحمر 6 على 11أو .. اه عفوا ال probability
+
+398
+00:30:28,320 --> 00:30:32,400
+بتاعة الأحمر 6 على 10 و ال probability تبعت الأسود
+
+399
+00:30:32,400 --> 00:30:36,380
+4 على 10 و كذلك في كل واحدة منهم وبالتالي الحسبة
+
+400
+00:30:36,380 --> 00:30:40,660
+تبعتي هتصير بناء على العنصر اللي موجود عندى هاني
+
+401
+00:30:40,660 --> 00:30:45,340
+ال naive bias نايف من اسمه جامعة الخير ان هو سهل
+
+402
+00:30:45,340 --> 00:30:52,260
+او trivial ليش انه مبني على trivial assumption ان
+
+403
+00:30:52,260 --> 00:30:57,790
+ال generative model هذاتمام؟ بده يشتغل على الموضوع
+
+404
+00:30:57,790 --> 00:31:02,410
+ال classification وبيفترض انه في عندي ان ال data
+
+405
+00:31:02,410 --> 00:31:07,550
+فيها normal distribution وبناء على هيكاد وفي عندي
+
+406
+00:31:07,550 --> 00:31:10,910
+independent attributes وبالتالي انا مافيش عندي
+
+407
+00:31:10,910 --> 00:31:14,870
+مشكلة في موضوع العناصر يعني naive assumption ان كل
+
+408
+00:31:14,870 --> 00:31:17,430
+ال data اللي عندي هي عبارة عن independent
+
+409
+00:31:17,430 --> 00:31:21,590
+attributes ومن ثم انا قاعد بأتكلم انه في عندي
+
+410
+00:31:22,500 --> 00:31:28,520
+normal distribution لل data اللي موجودة عندها طيب
+
+411
+00:31:28,520 --> 00:31:31,520
+عشان نحاول نسهل و نوصل للمعادلة اللي انا هشتغل
+
+412
+00:31:31,520 --> 00:31:37,780
+عليها هروح اشتغل على حسبة ال probability الان هذا
+
+413
+00:31:37,780 --> 00:31:41,560
+ال probability وفي
+
+414
+00:31:41,560 --> 00:31:46,240
+عند اللون حسبة اللون خلينا
+
+415
+00:31:46,240 --> 00:31:51,410
+نغير بس شغلة سريعة هيكأجي أهان على المثال هذا أجي
+
+416
+00:31:51,410 --> 00:31:57,290
+أقول في عندي plus سودة هيصار مازال عشرة وصار في
+
+417
+00:31:57,290 --> 00:32:04,610
+عندي عمود أحمر معناته أن الأن ال probability تبعت
+
+418
+00:32:04,610 --> 00:32:11,050
+ال plus صحيح واحد اتنين تلاتة أربعة خمسة ستة ستة
+
+419
+00:32:11,050 --> 00:32:16,510
+على عشرة بنفس المنطق و ال probability تبعت العمود
+
+420
+00:32:17,590 --> 00:32:24,710
+تساوي اربع على عشرة هذا الشكل مصبوط هذا ال final
+
+421
+00:32:24,710 --> 00:32:29,350
+هذا ال label طب ال color ال probability تبعت ال
+
+422
+00:32:29,350 --> 00:32:36,970
+red واحد اتنين تلاتة اربع خمسة ستة ستة على عشرة و
+
+423
+00:32:36,970 --> 00:32:44,970
+ال probability تبعت ال black تساوي اربع على عشرة
+
+424
+00:32:45,630 --> 00:32:50,510
+لاحظين ان هاي ال label تبعتي و هاي ال color تبعتي
+
+425
+00:32:50,510 --> 00:32:53,410
+بما انه صار في عندي color و صار في عندي label
+
+426
+00:32:53,410 --> 00:32:57,710
+معناته انا ال label هاد ال posterior معروفة مسبقا
+
+427
+00:32:57,710 --> 00:33:01,880
+يعني من العناصر المعطائليو انا بتروح ادور على ال
+
+428
+00:33:01,880 --> 00:33:05,600
+most likelihood او ال most likely property على
+
+429
+00:33:05,600 --> 00:33:09,900
+الاكتر الظن لوين هتكون وبالتالي هدور على شغل
+
+430
+00:33:09,900 --> 00:33:13,600
+بسميها انا يا جماعة الخير conditional properties
+
+431
+00:33:19,820 --> 00:33:23,800
+الـ class و الـ feature قدّاش علاقة ال class مع ال
+
+432
+00:33:23,800 --> 00:33:27,680
+feature هاي عشان نفهمها بشكل صحيح خلّينا نفترض ..
+
+433
+00:33:27,680 --> 00:33:32,860
+نفترض ان انا في عندى instance X فيها مجموعة ال
+
+434
+00:33:32,860 --> 00:33:40,740
+attribute من X1 ل Xn وفي عندى M classes M من ال
+
+435
+00:33:40,740 --> 00:33:46,520
+classالـ conditional probability تبعت لـ class CI
+
+436
+00:33:46,520 --> 00:33:49,860
+على ال X على ال instance هاي يعني بين قوسين ان ال
+
+437
+00:33:49,860 --> 00:33:53,960
+instance هي تحتوي لل class اللي موجود عندهان تساوي
+
+438
+00:33:53,960 --> 00:33:58,360
+ال probability لل class مضروبة في ال probability
+
+439
+00:33:58,360 --> 00:34:02,260
+لل instance في ال classes على ال probability لل
+
+440
+00:34:02,260 --> 00:34:07,000
+instance نفسها احتمال ظهور ال instance طيب انا
+
+441
+00:34:07,000 --> 00:34:12,010
+فعليا ال instance اللي موجودة عندهانقدش احتمالها
+
+442
+00:34:12,010 --> 00:34:15,410
+تكون ظهورها؟ الأصل تكون صفر ليش الأصل تكون صفر؟
+
+443
+00:34:15,410 --> 00:34:18,370
+لأن هي instance جديدة مش بالضرورة موجودة في ال
+
+444
+00:34:18,370 --> 00:34:21,990
+data set مسبقاً وبالتالي أنا .. هذه مدعاة أني أخلص
+
+445
+00:34:21,990 --> 00:34:29,110
+عليها أو أخلص منها عفواً بس الآن خلّيني أقول هنا C
+
+446
+00:34:29,110 --> 00:34:34,430
+of X ال class ل X يساوي ال maximum probability
+
+447
+00:34:34,430 --> 00:34:39,660
+لمين؟الـ B لـ Probability ل ال class يعني بينجو
+
+448
+00:34:39,660 --> 00:34:42,580
+سيم يجي و يقول لي والله ال instance الفلانية اللي
+
+449
+00:34:42,580 --> 00:34:49,080
+هي ال dash هذه ال class طبعتها ال class طبعت ال
+
+450
+00:34:49,080 --> 00:34:52,440
+dash هذه تساوي ال probability ال maximum
+
+451
+00:34:52,440 --> 00:34:56,260
+probability يعني بدي أخد أعلى probability لمين؟ ل
+
+452
+00:34:56,260 --> 00:34:59,080
+ال classes أنا في عندي two classes يعني بدي أحسب
+
+453
+00:34:59,080 --> 00:35:02,360
+two probabilities ال probability ل ال class أنها
+
+454
+00:35:02,360 --> 00:35:08,530
+تكون زائد أو تكون عمودتمام؟ فمضروبة انه جديش
+
+455
+00:35:08,530 --> 00:35:12,310
+احتمال عناصر .. مجموع العناصر اللي موجودة عندي هان
+
+456
+00:35:12,310 --> 00:35:17,150
+مع ال class اللي عندي و بما انه عملية مقارنة زي ما
+
+457
+00:35:17,150 --> 00:35:20,890
+خلصت سابقا من الجدر التربيعي ممكن اخلص الآن من
+
+458
+00:35:20,890 --> 00:35:25,250
+المقام لان مابدي اجسم على ثابت فممكن انا اخلص منه
+
+459
+00:35:25,250 --> 00:35:29,890
+وبالتالي انا بصجر المسألة تبعتي لل argument X
+
+460
+00:35:29,890 --> 00:35:33,390
+تعالى نشوف العناصر ايش المقصود فيها بشكل سريع
+
+461
+00:35:34,040 --> 00:35:40,160
+المعادلة السابقة اللي احنا ظهرت عندنا هنا ال
+
+462
+00:35:40,160 --> 00:35:44,900
+posterior probability اللي هيقولنا posterior سابقا
+
+463
+00:35:44,900 --> 00:35:49,400
+ال class على ال conditional probability تبعت ال
+
+464
+00:35:49,400 --> 00:35:52,930
+class وال attributes اللي موجودة عندي هناالـ
+
+465
+00:35:52,930 --> 00:35:57,510
+Probability لـ X على ال class الـ likelihood اللي
+
+466
+00:35:57,510 --> 00:36:01,650
+هي فعليا الاحتمال اللي أنا بدور عليه وهو عبارة عن
+
+467
+00:36:01,650 --> 00:36:05,850
+summation سنشوفها قليلا الان Probability تبع ال
+
+468
+00:36:05,850 --> 00:36:10,710
+class نفسه ال prior اللي موجود عندي هناو ال X ال
+
+469
+00:36:10,710 --> 00:36:15,170
+predictor ال probability اللي انا فعليا بدي اشوفها
+
+470
+00:36:15,170 --> 00:36:18,370
+تعالى نشوفه عشان نفهم الكلام هذا و المعادلة من
+
+471
+00:36:18,370 --> 00:36:21,130
+ناحية حساب لإن شوية الأمور لو بدت تبقى في
+
+472
+00:36:21,130 --> 00:36:27,150
+المعادلات الرياضية هت غم الأمور علينا لأن احنا في
+
+473
+00:36:27,150 --> 00:36:31,250
+جماعة هنا على غرار الناس اللي كانت بدت تلعب golf
+
+474
+00:36:31,250 --> 00:36:34,870
+قررت تروح على البحر على الشطالان هل بدهم يروحوا
+
+475
+00:36:34,870 --> 00:36:37,390
+على الشاطئ ولا ميروحوش؟ والله قالوا في عندنا تلت
+
+476
+00:36:37,390 --> 00:36:42,870
+عوامل أساسية الطقس المظهر مشمس و لا ممطر و لا غائم
+
+477
+00:36:42,870 --> 00:36:47,850
+درجة الحرارة و ال humidity اللي هي الرقوبة نفس
+
+478
+00:36:47,850 --> 00:36:50,790
+المثال السابق لكن غيرنا ال label من playing golf ل
+
+479
+00:36:50,790 --> 00:36:53,310
+beach
+
+480
+00:36:54,570 --> 00:36:58,550
+الان مطلوب مني اشتغل كالتالي بدي اعمل جدول بسيط
+
+481
+00:36:58,550 --> 00:37:02,290
+الجدول مثل هذا الجدول هلاقيت هنشتغل معاكم بكل
+
+482
+00:37:02,290 --> 00:37:06,970
+بساطة ايش بده يساوي انا بدي اعمل prediction ل data
+
+483
+00:37:06,970 --> 00:37:12,390
+set بناء على probability انا الان هاد ال data set
+
+484
+00:37:12,390 --> 00:37:15,990
+او ال training set تبعتي جاهزة و ثابتة الان اللي
+
+485
+00:37:15,990 --> 00:37:21,470
+هروح اسويه هروح احسب علاقة ال X ال outlook مع ال
+
+486
+00:37:21,470 --> 00:37:25,600
+labelالـ Probability تبعتها مع الـ .. مع الـ sunny
+
+487
+00:37:25,600 --> 00:37:29,300
+ال .. ال Probability تبعتها .. عفواً ال Outlook
+
+488
+00:37:29,300 --> 00:37:31,980
+فيها كام value different value، three values sunny
+
+489
+00:37:31,980 --> 00:37:36,920
+و rainy و cloudy علاقة ال sunny مع ال yes و مع ال
+
+490
+00:37:36,920 --> 00:37:41,020
+no علاقة ال rainy مع ال yes و مع ال no علاقة ال
+
+491
+00:37:41,020 --> 00:37:44,400
+cloudy مع ال yes مع ال no و أفصل في الجدول اللي
+
+492
+00:37:44,400 --> 00:37:50,000
+موجود عندى يعني بدك تيجي لكل attribute بشكل مستقل
+
+493
+00:37:50,000 --> 00:37:55,380
+هذا الجدولحاجة اقول والله انا بدي اتكلم على ال
+
+494
+00:37:55,380 --> 00:38:01,380
+outlook طبعا جابلي جماعة الخير لو انا سألتك لان ال
+
+495
+00:38:01,380 --> 00:38:05,840
+going لل beach لل yes و ال no زي ما حسبنا هان ال
+
+496
+00:38:05,840 --> 00:38:09,140
+probability لل yes جد ايش تساوي ال data 6 فيها
+
+497
+00:38:09,140 --> 00:38:15,620
+عشرة عندهان واحدة اتين تلاتة اربعة yes اربعة على
+
+498
+00:38:15,620 --> 00:38:20,340
+عشرة ال probability لل no ستة على عشرة بكل تأكيد
+
+499
+00:38:20,340 --> 00:38:27,530
+بدون ما اروح اضطر اعدال yes مظبوطة ال outlook ال
+
+500
+00:38:27,530 --> 00:38:34,230
+outlook الآن فيها three different values في
+
+501
+00:38:34,230 --> 00:38:38,830
+عندي ال sunny في
+
+502
+00:38:38,830 --> 00:38:49,690
+عندي الريني و في عندي ال cloudy ممتاز طيب و أنا في
+
+503
+00:38:49,690 --> 00:38:54,950
+عندي فعليا في ال labels في عندي ال yesو في عندى
+
+504
+00:38:54,950 --> 00:39:02,450
+الـ No ال beach صح؟
+
+505
+00:39:02,450 --> 00:39:05,810
+الان
+
+506
+00:39:05,810 --> 00:39:10,130
+كام واحدة sunny عندى انا واحدة تنتين تلاتة اربعة
+
+507
+00:39:10,130 --> 00:39:16,170
+ممتاز علاقة الاربع ال sunny هدول المفروض يكونوا
+
+508
+00:39:16,170 --> 00:39:22,350
+مجسمات على ال yes و ال no ال yes جديشأربعة طيب
+
+509
+00:39:22,350 --> 00:39:26,890
+الآن بدي أقول sunny و yes يعني أنا بدي أجسم على
+
+510
+00:39:26,890 --> 00:39:32,470
+أربعة يا جماعة الخير و أنه ستة مصبوط لأن ال over
+
+511
+00:39:32,470 --> 00:39:36,030
+all probability تبعت ال yes ظهور ال yes فقط أربع
+
+512
+00:39:36,030 --> 00:39:40,290
+عناصر أربع مرات و ظهور ال no ست مرات إذا كانت ال
+
+513
+00:39:40,290 --> 00:39:43,170
+yes مرتبطة بال classes هاي فعشان أنا أحسب ال
+
+514
+00:39:43,170 --> 00:39:48,650
+probability تبعت ال yes و ال sunny ال sunny هاي
+
+515
+00:39:48,650 --> 00:39:49,670
+مرة yes
+
+516
+00:39:55,170 --> 00:40:00,990
+تنتين تلاتة أصبت؟ ليش هذه لأ؟ لأن هذه جال ال label
+
+517
+00:40:00,990 --> 00:40:03,550
+تبعتها no هاي خلصنا الأربعة ال sunny اللي موجودة
+
+518
+00:40:03,550 --> 00:40:06,410
+عندها يعني بينجوستين ال sunny ال probability
+
+519
+00:40:06,410 --> 00:40:15,970
+تبعتها تلاتة على أربعة زائد جداش جداش واحد على ستة
+
+520
+00:40:17,560 --> 00:40:20,760
+خلاص انت مافيش داعي انك انت عايش تنظر لباقي
+
+521
+00:40:20,760 --> 00:40:23,600
+العناصر مجموع ال sun اللي فوق على العناصر اللي
+
+522
+00:40:23,600 --> 00:40:29,940
+موجودة عندي هان ال rainy الان جدش حسبة ال yes ما
+
+523
+00:40:29,940 --> 00:40:34,440
+زالت أربعة و النقل ستة rainy بدي أشغل عليها نفس
+
+524
+00:40:34,440 --> 00:40:42,160
+الكلام rainy واحدة تنتين تلاتة في عندي تلاتة rainy
+
+525
+00:40:42,160 --> 00:40:49,180
+والتلاتة جايات كلهمنفس ال class معناته zero على
+
+526
+00:40:49,180 --> 00:40:57,220
+أربعة زائد تلاتة على ستة و هلجت بيقولك طريقة كيف
+
+527
+00:40:57,220 --> 00:41:00,200
+تتأكد من حيث تفتكر ان كل ال probability بتبعتك صح
+
+528
+00:41:00,200 --> 00:41:06,140
+cloudy الآن برضه نفس الكلام على أربعة على ستة
+
+529
+00:41:06,140 --> 00:41:12,100
+cloudy فيها واحدة مع ال yes و هم تلاتة و تنتين مع
+
+530
+00:41:15,120 --> 00:41:20,080
+الستة الان لو عديت العناصر تبعت ال yes تلاتة على
+
+531
+00:41:20,080 --> 00:41:24,520
+أربعة زائد صفر على أربعة زائد واحد على أربعة تطلع
+
+532
+00:41:24,520 --> 00:41:31,420
+أربعة على أربعة لو عديت عناصر انه واحد على ستة
+
+533
+00:41:31,420 --> 00:41:34,820
+زائد تلاتة على ستة زائد تانين على ستة تطلع ستة على
+
+534
+00:41:34,820 --> 00:41:38,740
+ستة وهي فعليا ال probability لازم مجموع الاحتمالات
+
+535
+00:41:38,740 --> 00:41:43,600
+كلها تكون عندى واحد ممتاز هذا بالنسبة لل attribute
+
+536
+00:41:43,600 --> 00:41:44,180
+الأول
+
+537
+00:41:46,970 --> 00:41:49,970
+و بدي أروح أحسبها لل attribute التاني بنفس الكيفية
+
+538
+00:41:49,970 --> 00:41:55,530
+temperature
+
+539
+00:41:55,530 --> 00:41:59,870
+temperature كان فيه .. كان value عندي عندي three
+
+540
+00:41:59,870 --> 00:42:04,410
+values high و low و mild ال low نبدأ مع ال low هاي
+
+541
+00:42:04,410 --> 00:42:11,250
+واحدة هاي تنتين اتنين بدهم يتوزعوا على ال yes و ال
+
+542
+00:42:11,250 --> 00:42:17,570
+no الآن صفرno و no معناته صفر على أربعة و اتنين
+
+543
+00:42:17,570 --> 00:42:23,870
+على ستة مع ال no طيب خلصنا من ال من ال low ال mild
+
+544
+00:42:23,870 --> 00:42:32,710
+ال mild هي واحدة تنتين تلاتة تلاتة عناصر التلاتة
+
+545
+00:42:32,710 --> 00:42:36,560
+عناصر هدول يتوزعوا ما بين ال yes و ال noهي الـ
+
+546
+00:42:36,560 --> 00:42:40,700
+mild الأولى yes الـ mild التانية no والـ mild
+
+547
+00:42:40,700 --> 00:42:45,900
+الأخيرة no معناته الآن هم هيكونوا 1 على 4 مع ال
+
+548
+00:42:45,900 --> 00:42:52,580
+yes اللي هي الأولى هاي و 2 على 6 في حالة ال no و
+
+549
+00:42:52,580 --> 00:42:58,320
+بكمل الجدول لكل العناصر اللي موجودة عندي هان ال
+
+550
+00:42:58,320 --> 00:43:00,580
+probability تبعت ال beach ممكن أحط لإيه أنا كتبت
+
+551
+00:43:00,580 --> 00:43:05,790
+هان قبل شوية ممكن أحطها في نهاية الجدولعشان انا
+
+552
+00:43:05,790 --> 00:43:09,790
+اشغل على العناصر اللي موجودة عندي فعليا 6 على 10
+
+553
+00:43:09,790 --> 00:43:15,230
+.. ار ..الان 4 على 10 المفروض
+
+554
+00:43:15,230 --> 00:43:19,550
+في كل واحدة من هدول ما هيلاحظ 4 على 10 .. 4 على 10
+
+555
+00:43:19,550 --> 00:43:24,980
+.. 4 على 10ليش أربع؟ لأنه فعلاً أربع على ال yes و
+
+556
+00:43:24,980 --> 00:43:28,220
+هدول لازم يكون مجموحهم أربع في كل attribute و هدول
+
+557
+00:43:28,220 --> 00:43:31,260
+مجموحهم لازم يكون ستة و في المحصلة ستة على عشر
+
+558
+00:43:31,260 --> 00:43:36,140
+ممتاز الآن لاحظوا هذه ال computation كم مرة هعملها
+
+559
+00:43:36,140 --> 00:43:43,120
+لمرة واحدة على نفس ال data set هعملها لمرة واحدة
+
+560
+00:43:43,120 --> 00:43:46,180
+فقط و هتظل ال data .. و لما ال data set ماصارش
+
+561
+00:43:46,180 --> 00:43:51,030
+عليها تغيير هتظلها هذه موجودة عندىإيش اللي حيصير
+
+562
+00:43:51,030 --> 00:43:55,810
+لاحقا عشان اطبق المعادلة السابقة هذه هشغل كالتالي
+
+563
+00:43:55,810 --> 00:44:01,030
+بيجي بقول بالله شوف اللي إيش ال label تبعت ال
+
+564
+00:44:01,030 --> 00:44:06,810
+sunny و ال mild و ال high إيش ال label تبعت ال
+
+565
+00:44:06,810 --> 00:44:12,130
+sunny sunny
+
+566
+00:44:12,130 --> 00:44:17,450
+و mild و
+
+567
+00:44:17,450 --> 00:44:18,850
+high درجة الحرارة
+
+568
+00:44:21,880 --> 00:44:27,460
+عشان بدي ارجع معاكم للجدول السابق تم ذكرك في
+
+569
+00:44:27,460 --> 00:44:34,380
+المعادلة المعادلة بتقول الارج ماكس لا لل CI اللي
+
+570
+00:44:34,380 --> 00:44:37,000
+هي ال class ال probability لل CI مضروبة في ال
+
+571
+00:44:37,000 --> 00:44:44,120
+probability لا ال X على ال CI طيب هلأ قد بنفسرلك
+
+572
+00:44:44,120 --> 00:44:47,920
+إياها أوضح و بنفسرك إياها أوضح مع الأرقام نرجع هنا
+
+573
+00:44:47,920 --> 00:44:54,580
+ال probability لل classهو قاعد بيقوللي بدور على ال
+
+574
+00:44:54,580 --> 00:44:58,480
+argmax بدور على ال maximum probability لكل classes
+
+575
+00:44:58,480 --> 00:45:02,740
+كام class انا عندي؟ عندي two classes يعني بين جثين
+
+576
+00:45:02,740 --> 00:45:05,600
+الجامعة الخير هو عمال بيسألني بيسألني ال
+
+577
+00:45:05,600 --> 00:45:10,800
+probability تبعت ال element اللي موجود عندها على
+
+578
+00:45:10,800 --> 00:45:14,520
+انه يكون ال class و ال instance اللي اعطاني اياها
+
+579
+00:45:17,240 --> 00:45:19,840
+مش قولنا هذه اللي أنا بدور عليها قاعد؟ هاي ال
+
+580
+00:45:19,840 --> 00:45:23,160
+value هو بدي تجيبلي ال probability تبعت ال class
+
+581
+00:45:23,160 --> 00:45:27,760
+مع ال given instance اللي موجودة عندي هنا طيب،
+
+582
+00:45:27,760 --> 00:45:31,080
+الآن حسب ال data set معناته أنا بدي أروح أشتغل
+
+583
+00:45:31,080 --> 00:45:36,960
+كتالي مرة مع ال yes و مرة مع انه هذا الكلام بيقول
+
+584
+00:45:36,960 --> 00:45:42,480
+ايه؟ ال probability مع ال yes ال label مع مين؟ مع
+
+585
+00:45:42,480 --> 00:45:51,040
+ال given data set ال sunnyو mild و high ايش ال
+
+586
+00:45:51,040 --> 00:45:56,340
+probability تبعت high اولا بقول لهذه تساوي ال
+
+587
+00:45:56,340 --> 00:46:02,260
+probability تبعت ال yes مضروبة
+
+588
+00:46:02,260 --> 00:46:09,520
+في ال probability تبعت مين تبعت ال instance اللى
+
+589
+00:46:09,520 --> 00:46:14,590
+موجودة عندى هنا اي instanceطب ال instance تبعتي
+
+590
+00:46:14,590 --> 00:46:20,510
+مكونة من ال outlook و ال temperature و ال humidity
+
+591
+00:46:20,510 --> 00:46:25,390
+مصبوط؟ كمان مرة ال instance تبعتي هان اللي هي ال X
+
+592
+00:46:25,390 --> 00:46:33,830
+هذه اللي أنا الآن هيها مكونة من ال outlook و ال
+
+593
+00:46:33,830 --> 00:46:39,000
+temperature و ال humidityوبدي اروح بقوللي علاقة كل
+
+594
+00:46:39,000 --> 00:46:41,580
+ال values اللي موجودة عندهم بال class مين بال
+
+595
+00:46:41,580 --> 00:46:47,740
+class yes يعني بين جثين هي عبارة عن ال probability
+
+596
+00:46:47,740 --> 00:46:53,700
+لل
+
+597
+00:46:53,700 --> 00:47:01,840
+S لل sunny ال outlook equal
+
+598
+00:47:01,840 --> 00:47:04,980
+sunny مع ال yes
+
+599
+00:47:08,130 --> 00:47:15,570
+مضروبة في ال attribute التانية ال probability تبعت
+
+600
+00:47:15,570 --> 00:47:26,130
+ال temperature على ال yes هاي ال sunny او
+
+601
+00:47:26,130 --> 00:47:34,470
+الآن mild هاي ال mild ال temperature تبعتي high
+
+602
+00:47:37,170 --> 00:47:44,970
+هي ال high بكل بساطة بقول ليه تلاتة على اربعة او
+
+603
+00:47:44,970 --> 00:47:47,530
+عفوا من الاول اربعة على عشرة تبع ال yes ال
+
+604
+00:47:47,530 --> 00:47:50,050
+probability اللي موجودة عندى هان اربعة على عشرة
+
+605
+00:47:50,050 --> 00:47:57,970
+مضروبة في تلاتة على اربعة مضروبة في اتنين واعفوا
+
+606
+00:47:57,970 --> 00:48:04,640
+واحد على اربعة في اتنين على اربعةوبهك بكون انا بدي
+
+607
+00:48:04,640 --> 00:48:13,800
+اعيد الحسبة تبعت لمين لكل العناصر الموجودة يعني ال
+
+608
+00:48:13,800 --> 00:48:17,720
+probability لل yes طبعا انا فصلتلكوا ياها عشان
+
+609
+00:48:17,720 --> 00:48:21,540
+ماتنسوهاش لانوا لاحظوا ان هي عبارة عن عملية ضرب
+
+610
+00:48:21,540 --> 00:48:26,320
+هادي ل probability تبعت
+
+611
+00:48:26,320 --> 00:48:33,860
+ال X على Ci على class تساوي ل probabilityلمن؟ لل
+
+612
+00:48:33,860 --> 00:48:42,700
+values x i على .. هي بنجسيل ال product لل x i على
+
+613
+00:48:42,700 --> 00:48:50,080
+ال class اللي موجود عندها x j و ال j equal 1 to n
+
+614
+00:48:50,080 --> 00:48:57,240
+بعدد ال attributes اللي موجودة عندها الآن ال
+
+615
+00:48:57,240 --> 00:49:03,280
+probability لل yes حسبناها 4 ع العشرة هي ..الـ
+
+616
+00:49:03,280 --> 00:49:08,200
+sunny مع ال yes كانت 3 على 4 حسب الجدول السابق ال
+
+617
+00:49:08,200 --> 00:49:13,880
+mild مع ال yes 1 على 4 ال high مع ال yes طبعا زي
+
+618
+00:49:13,880 --> 00:49:18,860
+ما قلتلك هذه بتمثل ال outlook ال sunny ال
+
+619
+00:49:18,860 --> 00:49:21,400
+temperature و ال humidity اللي هي ال attributes
+
+620
+00:49:21,400 --> 00:49:25,000
+اللي موجودة عندها مع ال yes و فحسبناها فكانت
+
+621
+00:49:25,000 --> 00:49:32,820
+الدانيال value high اللي هي 375 من عشرة ألفممتاز
+
+622
+00:49:32,820 --> 00:49:37,800
+هدي ال probability لمن؟ لل yes يعني بين جوسين انه
+
+623
+00:49:37,800 --> 00:49:43,920
+احتمال انه تكون هادي ال instance انه نروح في
+
+624
+00:49:43,920 --> 00:49:48,180
+الظروف هادية على الشاطئ هي احتماليتها حسب ال data
+
+625
+00:49:48,180 --> 00:49:51,900
+set اللي موجودة عندها طب لو احتمال اننا مانروحش
+
+626
+00:49:51,900 --> 00:49:54,660
+احنا لسه مااخدناش قرار فالان بما انه class تاني
+
+627
+00:49:54,660 --> 00:49:58,180
+فهروح احسب نفس الحسبة السابقة بس مع مين يا جماعة
+
+628
+00:49:58,180 --> 00:50:10,280
+الخير مع النومsunny و ال mild و ال high ممتاز
+
+629
+00:50:10,280 --> 00:50:16,760
+تساوي probability of no حسبناها اذا كانت هذه اربع
+
+630
+00:50:16,760 --> 00:50:20,500
+على عشر فالتاني هتكون ستة على عشر اللي هم فعلا
+
+631
+00:50:20,500 --> 00:50:24,460
+مجسمين مضروبة في ال probability تبعت ال sunny على
+
+632
+00:50:24,460 --> 00:50:29,120
+ال no مضروبة في ال probability تبعت ال mild تبعت
+
+633
+00:50:29,120 --> 00:50:33,040
+ال temperatureفي الـ No مضروبة في ال probability
+
+634
+00:50:33,040 --> 00:50:38,160
+تبع ال humidity اللي هي المفروض عندي high على no و
+
+635
+00:50:38,160 --> 00:50:54,060
+هكذا وبالتالي الحسبة تبعتي هتكون بالشكل هذا الان
+
+636
+00:50:54,060 --> 00:50:59,390
+القانون بيقولليفي ال classification في ال
+
+637
+00:50:59,390 --> 00:51:03,730
+classification هتشتغل على ال instance اللي موجودة
+
+638
+00:51:03,730 --> 00:51:09,750
+عندنا وهي هتشتغل على ال maximum probability ال
+
+639
+00:51:09,750 --> 00:51:13,570
+احتمال الاكبر الان عندك رقمين بغض النظر جداش
+
+640
+00:51:13,570 --> 00:51:15,930
+الرقمين يا جماعة الخير اللي طلعوا مين اكبر من
+
+641
+00:51:15,930 --> 00:51:21,850
+التاني مية و احد عشرة على عشرة الف ولا تلاتمية
+
+642
+00:51:21,850 --> 00:51:25,860
+خمسة و سبعين على عشرة الف اكيدالـ maximum value
+
+643
+00:51:25,860 --> 00:51:30,700
+تبعتي هيها هان معناته ال most likely تبع ال
+
+644
+00:51:30,700 --> 00:51:36,160
+existence اللي موجودة عندي هان عبارة عنyes غالبا
+
+645
+00:51:36,160 --> 00:51:41,820
+لو كان الظرف sunny مشرق او مشمس والدرجة الحرارة
+
+646
+00:51:41,820 --> 00:51:46,800
+متوسطة والرقوبة عالية غالبا هروح على البحر بناء او
+
+647
+00:51:46,800 --> 00:51:50,720
+على الشاطئ بناء على ال data set الاحتمالات انتبه
+
+648
+00:51:50,720 --> 00:51:55,860
+معايا او انتبه معايا كمان مرة الجدول هذا الجدول
+
+649
+00:51:55,860 --> 00:52:01,100
+هذا هيظل قائم عندى هيظل قائم عندى قول ما ال data
+
+650
+00:52:01,100 --> 00:52:08,940
+set هيلم تتغيركم مرة بحسبه؟ لمرة واحدة وكأنه
+
+651
+00:52:08,940 --> 00:52:13,020
+model وكأنه model بس مش model حساب أصبحت الآن
+
+652
+00:52:13,020 --> 00:52:16,060
+العملية عملية إيش؟ computation لكن ال computation
+
+653
+00:52:16,060 --> 00:52:20,660
+مش مع كل ال data set يعني الآن تخيلوا لو روحت أنا
+
+654
+00:52:20,660 --> 00:52:23,680
+غيرت في ال instance .. في ال instance high بعد
+
+655
+00:52:23,680 --> 00:52:27,900
+إذنكم وروحت قولت والله إنه أنا بدي أروح أبدل بدال
+
+656
+00:52:27,900 --> 00:52:28,960
+high high low
+
+657
+00:52:33,280 --> 00:52:37,200
+بدل ال high low ايش اللي هتفرق معايا؟ هرجع للجدول
+
+658
+00:52:37,200 --> 00:52:42,780
+اللي هو الجدول تبعي هذا وحاجة
+
+659
+00:52:42,780 --> 00:52:52,120
+أشتغل كتالي طبعا
+
+660
+00:52:52,120 --> 00:53:01,180
+عشان بس أظل نتذكر ال sunny و
+
+661
+00:53:01,180 --> 00:53:06,830
+mildو low هذه ال instances اللي موجودة عندي و أنا
+
+662
+00:53:06,830 --> 00:53:11,410
+بدي أضطر أرجع للجدول الآن بكل بساطة الحسبة السابقة
+
+663
+00:53:11,410 --> 00:53:18,450
+تبعتي هتكون كالتالي ال probability لل yes على ال
+
+664
+00:53:18,450 --> 00:53:22,670
+sunny مش حد كل الكلمات و ال m ال s و ال m و ال low
+
+665
+00:53:22,670 --> 00:53:29,690
+تساوي ال probability لل yes مضروبة في ال
+
+666
+00:53:29,690 --> 00:53:34,950
+probability ل ال sunny على ال yesهي المفروض فيها
+
+667
+00:53:34,950 --> 00:53:41,710
+الـ Outlook equals sunny يا جماعة الخير اللي
+
+668
+00:53:41,710 --> 00:53:44,330
+هي ال attribute الأول خلاص هي احنا هنعتمدها بالشكل
+
+669
+00:53:44,330 --> 00:53:50,330
+هذا على ال yes مضروبة في ال probability لل mild
+
+670
+00:53:50,330 --> 00:53:54,070
+اللي هي ال attribute التاني على ال yes مضروبة في
+
+671
+00:53:54,070 --> 00:53:56,830
+ال probability لل attribute التالت اللي هي ال low
+
+672
+00:53:56,830 --> 00:54:00,730
+على ال yes بنجو سينيج هي عمود ال yes كل شغل على
+
+673
+00:54:00,730 --> 00:54:07,740
+الكيون على العمود هذا sunny هي ال valuemy هي ال
+
+674
+00:54:07,740 --> 00:54:17,800
+value و normal هي هيها
+
+675
+00:54:17,800 --> 00:54:22,160
+normal normal
+
+676
+00:54:22,160 --> 00:54:28,680
+بس عشان ال example يكون تمام بال normal هيها الان
+
+677
+00:54:28,680 --> 00:54:38,860
+بكل بساطة أربعة على عشرة ضرب المحوطات3 على 4 ضرب 1
+
+678
+00:54:38,860 --> 00:54:45,460
+على 4 ضرب 2 على 4 وإذا أنا بدي أطلع ال calculator
+
+679
+00:54:45,460 --> 00:54:50,980
+على السريع عشان أشوف حسبة هل في فعليا تأثير لل
+
+680
+00:54:50,980 --> 00:54:52,140
+element هذا أو لأ
+
+681
+00:54:56,850 --> 00:55:04,090
+قولنا أربعة على عشرة ضرب تلاتة على أربعة ضرب واحد
+
+682
+00:55:04,090 --> 00:55:13,790
+على أربعة ضرب طفت ال calculator أربعة
+
+683
+00:55:13,790 --> 00:55:24,110
+تقسيم عشرة ضرب تلاتة تقسيم أربعة ضرب واحد تقسيم
+
+684
+00:55:24,110 --> 00:55:24,750
+أربعة
+
+685
+00:55:27,550 --> 00:55:34,890
+درب اتنين تقسيم اربعة anyway
+
+686
+00:55:34,890 --> 00:55:41,550
+ال calculator خذلتنا في الآخر ال probability لانه
+
+687
+00:55:41,550 --> 00:55:45,750
+بدي اعمل ال probability لانه لنفس ال instance M N
+
+688
+00:55:45,750 --> 00:55:49,070
+هتكون
+
+689
+00:55:49,070 --> 00:55:53,810
+ال probability لانه مضروبة
+
+690
+00:56:14,390 --> 00:56:17,910
+القيم المقابلة لهم اللي عمال يحوقهم باللون الأزرق
+
+691
+00:56:20,470 --> 00:56:23,350
+بالاضافة للقيمة الأخيرة ما تنسوهاش طبعا هاي اللي
+
+692
+00:56:23,350 --> 00:56:27,190
+هي في الأول ال probability لانه كلها هتصير في
+
+693
+00:56:27,190 --> 00:56:37,470
+عندها 6 على 10 مضروبة في 1 على 6 مضروبة في 2 على 6
+
+694
+00:56:37,470 --> 00:56:46,630
+مضروبة في 2 على 6 طبعا لو احنا فعليا36 المقام هنا
+
+695
+00:56:46,630 --> 00:56:51,010
+أكبر من هنا فغالبا اللي بالتباعتي هتكون yes و ال
+
+696
+00:56:51,010 --> 00:56:56,290
+computation هي اللي بتحكم الموضوع بتمنى تكون الأن
+
+697
+00:56:56,290 --> 00:57:00,010
+أصبحت الصورة بالنسبة لنا واضحة كيف النييف بايسان
+
+698
+00:57:00,010 --> 00:57:04,410
+بيشتغل الفكرة انه ابني الجدول اذا انت بنيت او انت
+
+699
+00:57:04,410 --> 00:57:08,690
+بنيت الجدول صح معناته انا مافيش عندى مشكلة طيب في
+
+700
+00:57:08,690 --> 00:57:11,010
+حالة هذه مثال تاني على السريع
+
+701
+00:57:14,970 --> 00:57:19,530
+بغض النظر احنا مش هنطول عليكم ان شاء الله تعالى و
+
+702
+00:57:19,530 --> 00:57:22,550
+بنفترض انكوا هتكونوا متابعين معانا و بيكونوا كأنه
+
+703
+00:57:22,550 --> 00:57:28,790
+في فرصة تشتغلوا وزيادة الان هاي ال data set كام
+
+704
+00:57:28,790 --> 00:57:31,470
+attribute؟ تلاتة على نفس الغرار ال attribute
+
+705
+00:57:31,470 --> 00:57:34,210
+السابق السابق اللي لها دخل في الموضوع؟ لأ هذا رقم
+
+706
+00:57:34,210 --> 00:57:37,270
+العينة او رقم ال sample ال class تبعتي binary
+
+707
+00:57:37,270 --> 00:57:41,210
+class مافرجتش كتير يا جماعة الخير بدي ابني الجدول
+
+708
+00:57:41,210 --> 00:57:44,030
+السابق بالكامل
+
+709
+00:57:46,870 --> 00:57:52,690
+هو بيقولوا بدوا منى ل class مصبوط ال attribute a1
+
+710
+00:57:52,690 --> 00:57:59,670
+ايش ال attribute a1 فيه values طبعا هنا في عندى
+
+711
+00:57:59,670 --> 00:58:05,130
+yes واحد او صفر واحد في ال attribute الاول كام
+
+712
+00:58:05,130 --> 00:58:08,250
+value في عندى صفر واحد اتنين يعني في عندى three
+
+713
+00:58:08,250 --> 00:58:12,850
+values صفر واحد اتنين انا بكتبه من مرتبات افضل
+
+714
+00:58:12,850 --> 00:58:14,830
+اليه ال attribute التانى
+
+715
+00:58:17,880 --> 00:58:20,240
+مع ال labels اللي موجودة ايش في عندي برضه values
+
+716
+00:58:20,240 --> 00:58:29,700
+012 برضه ماعندي مشكلة 012 ال attribute التالت اللي
+
+717
+00:58:29,700 --> 00:58:33,800
+انا هشتغل عليه فقط
+
+718
+00:58:33,800 --> 00:58:43,000
+قيمتين 112 وهنا في الآخر ال probability لل classال
+
+719
+00:58:43,000 --> 00:58:45,880
+probability لل class تبعتي جدش ال probability ..
+
+720
+00:58:45,880 --> 00:58:50,900
+كام class فيه؟ عندى three classes عفوا مصبوط ال ..
+
+721
+00:58:50,900 --> 00:59:01,360
+واحد اتنين تلاتة هاتوا هل بدنا كمان اعمود ال class
+
+722
+00:59:01,360 --> 00:59:06,540
+اللى موجود عندى هان واحد
+
+723
+00:59:06,540 --> 00:59:09,400
+اتنين تلاتة
+
+724
+00:59:11,920 --> 00:59:17,300
+أي تلاتة ال
+
+725
+00:59:17,300 --> 00:59:23,540
+class الأول واحد واحد اتنين تلاتة اربعة اربعة على
+
+726
+00:59:23,540 --> 00:59:31,500
+عشرة ال class التاني اتنين واحد اتنين تلاتة تلاتة
+
+727
+00:59:31,500 --> 00:59:36,100
+على عشرة وهدت الأخير تلاتة على عشرة مجموحهم عشرة
+
+728
+00:59:36,100 --> 00:59:41,890
+على عشرةبدي أجي العلاقة العناصر مع ال class الأول
+
+729
+00:59:41,890 --> 00:59:48,170
+اللي موجود عندي هنا صفر و واحد هاي صفر هاي صفر
+
+730
+00:59:48,170 --> 00:59:52,410
+تنتين مع
+
+731
+00:59:52,410 --> 00:59:59,230
+الواحد أربعة ال
+
+732
+00:59:59,230 --> 01:00:04,910
+class واحد معناته اتنين على أربعة وحتما ..حتما
+
+733
+01:00:04,910 --> 01:00:11,020
+الصفر مع ال class التانيصفر على عشرة .. صفر على
+
+734
+01:00:11,020 --> 01:00:18,160
+جداش الاتنين على تلاتة وهنا صفر على تلاتة ليش؟ لأن
+
+735
+01:00:18,160 --> 01:00:21,020
+هون فعليا الصفرها دي بينت مرتين فقط مع ال
+
+736
+01:00:21,020 --> 01:00:24,240
+attribute الأول وبالتالي أنا هنا بشغل في ال
+
+737
+01:00:24,240 --> 01:00:28,560
+attribute الأول ال value التانية الواحد الواحد هي
+
+738
+01:00:28,560 --> 01:00:37,560
+في المربع واحد واحد واحد واحد اربع عناصربرضه هتكون
+
+739
+01:00:37,560 --> 01:00:41,220
+عندها القيمة على أربعة يا جماعة الخير ماتنساش وهذه
+
+740
+01:00:41,220 --> 01:00:46,760
+هتكون على تلاتة وهذه هتكون على تلاتة الان واحد و
+
+741
+01:00:46,760 --> 01:00:55,800
+واحد هي .. okay وهي كمان واحد ممتاز يعني اتنين على
+
+742
+01:00:55,800 --> 01:00:59,880
+أربعة اتنين
+
+743
+01:00:59,880 --> 01:01:07,100
+على أربعة هذه واحدة وهذه اتنين طيبجدّش الواحد على
+
+744
+01:01:07,100 --> 01:01:14,440
+تلاتة واحد و تلاتة هيها مات واحد على تلاتة وجدّش
+
+745
+01:01:14,440 --> 01:01:20,220
+مع الواحد والتنين هيها ال probability تبعتها ضال
+
+746
+01:01:20,220 --> 01:01:25,140
+عند ال value الأخيرة الموجودة
+
+747
+01:01:25,140 --> 01:01:31,320
+عندى لمين؟ للتنين هي التنين هي التنين هي التنين في
+
+748
+01:01:31,320 --> 01:01:34,060
+عندى أربع قيم الأربع قيم منهم
+
+749
+01:01:37,600 --> 01:01:41,080
+ولا واحدة مع ال attribute أو مع ال class الأول صفر
+
+750
+01:01:41,080 --> 01:01:44,640
+على أربعة و لو انت جمعت فعليا هان اتنين على أربعة
+
+751
+01:01:44,640 --> 01:01:50,720
+او اتنين على أربعة لازم يطلع معاك أربعة على أربعة
+
+752
+01:01:50,720 --> 01:01:54,040
+لأن هما ال maximum أربعة عفوا ان هان اتنين على
+
+753
+01:01:54,040 --> 01:02:00,060
+أربعة الان مع الواحد و لا مافيش شي مع التنين هي
+
+754
+01:02:00,060 --> 01:02:04,880
+واحدة هي تنتين وبالتالي هان
+
+755
+01:02:11,280 --> 01:02:16,080
+هذه اتنين على تلاتة وهذه اتنين على تلاتة لو جمعت
+
+756
+01:02:16,080 --> 01:02:18,420
+العناصر اللي موجودة عندي هان و العناصر اللي عندي
+
+757
+01:02:18,420 --> 01:02:21,660
+هان لازم تاخد تلاتة و واحد صحيح وهذه تاخد واحد
+
+758
+01:02:21,660 --> 01:02:27,000
+صحيح كملية الجدول نفس الصورة السابقة هكون الجدول
+
+759
+01:02:27,000 --> 01:02:32,980
+هيه عندى بالتمام و مجرد ان انا اعمل الجدول هذا
+
+760
+01:02:32,980 --> 01:02:39,420
+بيسهل علي جدا ان احسبالعناصر خليني على السريع بس
+
+761
+01:02:39,420 --> 01:02:45,260
+احط المثال الأخير لو انا افترضت ان انا عندي واحد
+
+762
+01:02:45,260 --> 01:02:52,620
+واحد واتنين ماعرفش انا كتبت بشكل random هل فعليا
+
+763
+01:02:52,620 --> 01:02:57,380
+هذه ايش الاحتمال تبعتها انها تظهر عندى او ايش ال
+
+764
+01:02:57,380 --> 01:03:02,560
+class تبعتها اللى توجد عندها هذه مع ال class الاول
+
+765
+01:03:02,560 --> 01:03:04,160
+بدي احسبها
+
+766
+01:03:09,260 --> 01:03:16,820
+و بدي أحسبها مع ال class التاني و بدي أحسبها مع ال
+
+767
+01:03:16,820 --> 01:03:26,560
+class التالت طيب مع ال class الأول واحد وين ال
+
+768
+01:03:26,560 --> 01:03:31,440
+واحد هيها يا جماعة الخير ال attribute التاني برضه
+
+769
+01:03:31,440 --> 01:03:36,460
+واحد ال attribute التالت كانت اتنين هيها معناته
+
+770
+01:03:36,460 --> 01:03:40,240
+انا بدي اخد الاحتمال تبع ال rowللـ class الأول
+
+771
+01:03:40,240 --> 01:03:49,580
+معناته أنا بدي أضرب القيم اللي عليها تحتها
+
+772
+01:03:49,580 --> 01:03:55,160
+الخط هذه في بعضها ال probability تبعتي الواحد
+
+773
+01:03:55,160 --> 01:03:59,160
+أربعة على عشرة مضروبة في ال probability واحد على
+
+774
+01:03:59,160 --> 01:04:03,440
+واحد اللي هي attribute A1 equal واحد على واحد
+
+775
+01:04:03,440 --> 01:04:10,760
+مضروبة في ال probability A1A2 equal 1 على 1 مضروبة
+
+776
+01:04:10,760 --> 01:04:15,000
+في ال probability ال
+
+777
+01:04:15,000 --> 01:04:18,280
+probability للواحد as class مضروبة في ال
+
+778
+01:04:18,280 --> 01:04:23,440
+probability لل A1 equal 1 على 1 مضروبة في ال
+
+779
+01:04:23,440 --> 01:04:29,860
+probability لل A2 equal 1 على 1 مضروبة في ال
+
+780
+01:04:29,860 --> 01:04:36,420
+probability تبعت ال A3 equal2 على الواحد اللي هي
+
+781
+01:04:36,420 --> 01:04:39,640
+القيم اللي انا حددتها هيها هذا بجيبها لل class
+
+782
+01:04:39,640 --> 01:04:42,320
+الأول بجيبها لل class التاني بجيبها لل class
+
+783
+01:04:42,320 --> 01:04:47,160
+التالت و من ثم هاي
+
+784
+01:04:47,160 --> 01:04:52,300
+الحسبة اللي موجودة عندي الآن بدور على ال maximum
+
+785
+01:04:52,300 --> 01:05:00,970
+عندي 25 من ألف أربعة وأربعين250 من عشرة ألاف و 444
+
+786
+01:05:00,970 --> 01:05:05,150
+من عشرة ألاف و 111 من عشرة ألاف ال most
+
+787
+01:05:05,150 --> 01:05:10,610
+probability تبعتي و ال maximum probability أربعة
+
+788
+01:05:10,610 --> 01:05:14,050
+من مية أكيد أكبر من اتنين من مية و أكبر من واحد من
+
+789
+01:05:14,050 --> 01:05:18,850
+مية وبالتالي أغلب الظن ان هذه ال instance هتتصنف
+
+790
+01:05:18,850 --> 01:05:23,750
+مع ال class التاني مع ال class التاني لكن أنا
+
+791
+01:05:23,750 --> 01:05:30,560
+انتبهت لشغلة و أنا بقى أشتغل في الحسبةو هي ان ال
+
+792
+01:05:30,560 --> 01:05:38,820
+instances اللي أنا كتبتها موجودة بس
+
+793
+01:05:38,820 --> 01:05:43,670
+ايش ال class تبعتها؟تلاتة يعني صار في عندي
+
+794
+01:05:43,670 --> 01:05:47,170
+misclassification هل هذه مسئوليتي؟ لا مش مسئوليتي
+
+795
+01:05:47,170 --> 01:05:52,310
+انا اشتغلت عليها لان اخضعتها لاحتمالات تمام و هذه
+
+796
+01:05:52,310 --> 01:05:55,770
+وزنها كان واحدة من العناصر اللي موجودة لكن ال node
+
+797
+01:05:55,770 --> 01:05:58,170
+تبعتي هذه حسب الاحتمالات او حسب ال naive bison
+
+798
+01:05:58,170 --> 01:06:03,950
+بتطلع لمين؟ مع العنصر ال class two اللي موجود
+
+799
+01:06:03,950 --> 01:06:09,130
+عندهاالأن زي ما قلنا الـ Naive Bison ختاما للكلام
+
+800
+01:06:09,130 --> 01:06:11,950
+اللي احنا اشتغلناه طبعا جامعة الخير في انكو data
+
+801
+01:06:11,950 --> 01:06:15,210
+set موجودة سابقا في ال examples السابقات جربوا
+
+802
+01:06:15,210 --> 01:06:18,050
+عليها Naive Bison ما تستناش ما تقوليش ملون بدي
+
+803
+01:06:18,050 --> 01:06:20,270
+اسئلة في عندك ال data set اللي موجود في ال slides
+
+804
+01:06:20,270 --> 01:06:23,960
+و اللي انا اشتغلت عليها سابقاكـClassifier في عنده
+
+805
+01:06:23,960 --> 01:06:25,960
+strict assumptions زي ما قلنا about ال data اللي
+
+806
+01:06:25,960 --> 01:06:28,400
+هو ال independent attributes و ال normal
+
+807
+01:06:28,400 --> 01:06:32,920
+distribution تبع ال data اللي موجودة وهذا بيخليه
+
+808
+01:06:32,920 --> 01:06:35,920
+fast .. very fast أو extremely fast في ال training
+
+809
+01:06:35,920 --> 01:06:38,060
+و في ال prediction في ال training لأنه بيبني
+
+810
+01:06:38,060 --> 01:06:41,020
+الجدول مرة واحدة و في ال prediction مفيش .. يعني
+
+811
+01:06:41,020 --> 01:06:43,540
+ال competition تبعت قليلة straightforward
+
+812
+01:06:43,540 --> 01:06:47,900
+probabilistic prediction بيعتمد على ال
+
+813
+01:06:47,900 --> 01:06:52,640
+probabilities تماما على الاحتمالاتسهل جدا اني افسر
+
+814
+01:06:52,640 --> 01:06:58,620
+ليش طلع هيك مش بحاجة ان اعمل tuning لاني parameter
+
+815
+01:06:58,620 --> 01:07:06,120
+لان فعليا انا ماشوفتش اي حاجة بيطلب مني بما
+
+816
+01:07:06,120 --> 01:07:12,360
+انه في عندي strict and
+
+817
+01:07:12,360 --> 01:07:17,040
+complicated
+
+818
+01:07:17,040 --> 01:07:22,370
+modelفعليا الـ Naive Bison زي ما حنا شوفنا في
+
+819
+01:07:22,370 --> 01:07:30,490
+حسبته سهل نعم لكنه مش سهل ان اطبقه في كل مكان طبعا
+
+820
+01:07:30,490 --> 01:07:35,690
+ماهي المطلوب ان انا فعليا وين انا بدي اروح اطبق
+
+821
+01:07:35,690 --> 01:07:38,330
+الـ Naive Bison فعليا انا بقدر اروح استخدمه او
+
+822
+01:07:38,330 --> 01:07:40,990
+ممكن اشتغل كويس لما يكون الـ Naive Assumption
+
+823
+01:07:40,990 --> 01:07:46,240
+فعليا موجودة مع ال data يعني بين جثينان انا شبه
+
+824
+01:07:46,240 --> 01:07:49,320
+متأكد ان ال attributes اللى عندى كلها independent
+
+825
+01:07:49,320 --> 01:07:53,740
+attributes لكن انت الكلام متأكد منه ولا مش متأكد
+
+826
+01:07:53,740 --> 01:07:57,840
+منه؟ مابعرفش، مابيش الحل كيف بتتأكد من ال
+
+827
+01:07:57,840 --> 01:08:00,740
+dependency من ال attributes؟ بدك ترجع لل data
+
+828
+01:08:00,740 --> 01:08:03,940
+preparation و تفحص ال correlation ما بين ال
+
+829
+01:08:03,940 --> 01:08:07,600
+attributes و زى ما شوفنا في عندنا ال chi-square و
+
+830
+01:08:07,600 --> 01:08:12,230
+في عندنا ال اش كمان؟الـ Pearson coefficient إلى
+
+831
+01:08:12,230 --> 01:08:16,010
+آخره هو بناءً على هيك انت بتصير تدور على تفهم ال
+
+832
+01:08:16,010 --> 01:08:19,310
+data set أكتر very well separated categories لما
+
+833
+01:08:19,310 --> 01:08:22,350
+يكون ال categories اللي عنده فعليًا finite و
+
+834
+01:08:22,350 --> 01:08:26,130
+مفصلين عن بعض مافيش بينهم يعني بين جثين ال data
+
+835
+01:08:26,130 --> 01:08:29,830
+set بتفرج بشكل كويس و احنا لاحظين في المثال السابق
+
+836
+01:08:29,830 --> 01:08:33,070
+انه فعليًا عمل misclassification لل point اللي
+
+837
+01:08:33,070 --> 01:08:36,870
+موجودة عندها very high dimensional data لما تكون
+
+838
+01:08:36,870 --> 01:08:41,870
+ال data تبعتيالعالية جدا او فيها عدد كبير من ال
+
+839
+01:08:41,870 --> 01:08:45,630
+attributes ممكن انا اشتغل اخر شغلة في محاضرتنا هي
+
+840
+01:08:45,630 --> 01:08:49,270
+ال code ال code ال bython المفروض اللي انا بدي
+
+841
+01:08:49,270 --> 01:08:52,310
+اشتغله على السريع في code ال bython اللي موجود
+
+842
+01:08:52,310 --> 01:08:55,810
+عندي اعملت import لل data set فصلت ال features
+
+843
+01:08:55,810 --> 01:08:59,770
+حددت ال labels كما المثال السابق تماما مع ال naive
+
+844
+01:08:59,770 --> 01:09:03,590
+byes يعني مع ال kenyar snapperتمام؟ هذا شغل ال
+
+845
+01:09:03,590 --> 01:09:07,530
+data set احضار ال data set from ال k .. ال sklearn
+
+846
+01:09:07,530 --> 01:09:12,390
+.naive biased import gaussian لما قلتلكوا في عندي
+
+847
+01:09:12,390 --> 01:09:14,990
+توزيع طبيعي أو ال gaussian distribution الموجود في
+
+848
+01:09:14,990 --> 01:09:19,430
+ال .. هذا ال assumption تبعتي الأساسية as ..
+
+849
+01:09:19,430 --> 01:09:23,070
+حطيتله alias name هنا بنيت عليه model و قلتله اعمل
+
+850
+01:09:23,070 --> 01:09:27,170
+training على ال feature و ال label هذا الكلام
+
+851
+01:09:27,170 --> 01:09:32,010
+ماكانش موجود إذا بتتذكره وينفي ال data set او مع
+
+852
+01:09:32,010 --> 01:09:35,770
+.. عفوا مع ال canary snapper فالان اوجد العلاقة ما
+
+853
+01:09:35,770 --> 01:09:39,790
+بين ال features و ال labels بنجو سينت بنى جدول
+
+854
+01:09:39,790 --> 01:09:43,650
+الاحتمالات اللى بدناها قبل شوية و لما هى اللى
+
+855
+01:09:43,650 --> 01:09:47,390
+قلتله هى فى عندى test sample روح اعملهايها و روح
+
+856
+01:09:47,390 --> 01:09:50,450
+اعملها prediction فلما راح اعملها prediction
+
+857
+01:09:50,450 --> 01:09:54,470
+هيديني ال label تبعتها بناء على جدول الاحتمالات
+
+858
+01:09:54,470 --> 01:09:59,180
+اللى حصل منها فى حد فيكوا بيتذكرفي مرحلة الـ
+
+859
+01:09:59,180 --> 01:10:01,080
+Prediction مع الـ Canary Snapper أشكال اللي بيطلع
+
+860
+01:10:01,080 --> 01:10:01,420
+معايا
+
+861
+01:10:05,300 --> 01:10:08,140
+لأ بالزمكوا المراجعة دي باستمرار عشان تتذكروا
+
+862
+01:10:08,140 --> 01:10:11,620
+وبهيك .. لأ انا بذكرك انه كان بيديني ال distances
+
+863
+01:10:11,620 --> 01:10:15,340
+بيديني ال shortest five distance او shortest k
+
+864
+01:10:15,340 --> 01:10:20,280
+distances و ال index تبعت ال attributes تبعتها هذا
+
+865
+01:10:20,280 --> 01:10:24,020
+مثال بتمنى موجود معاكم وموجود بين اديكم بال slides
+
+866
+01:10:24,020 --> 01:10:27,200
+مثال ال golf السابق اللي احنا شوفناه روحوا طبقوا
+
+867
+01:10:27,200 --> 01:10:28,560
+عليه ال ..
+
+868
+01:10:31,690 --> 01:10:34,870
+الـ Naive Bison Algorithm وبدو اشتغلوا بحيث انكوا
+
+869
+01:10:34,870 --> 01:10:38,750
+تفهموا اللي موجود هنا في الختام بدي اذكر انه في
+
+870
+01:10:38,750 --> 01:10:44,050
+عندنا forum موجود منتده حواري على الموضل لأي سؤال
+
+871
+01:10:44,050 --> 01:10:47,950
+لكل محاضراتنا باستمرار فإذا في عندك او عندك اي
+
+872
+01:10:47,950 --> 01:10:52,180
+سؤالمشكورين اضيفوا السؤال على ال forum وانا ان شاء
+
+873
+01:10:52,180 --> 01:10:56,120
+الله تعالى برد عليكوا بالإجابة الشافية اللى
+
+874
+01:10:56,120 --> 01:10:59,380
+بترضيكوا بإذن الله تبارك وتعالى بتمنى لكوا السلامة
+
+875
+01:10:59,380 --> 01:11:02,560
+دوما والسلام عليكم ورحمة الله والمحاضرة الجاية
+
+876
+01:11:02,560 --> 01:11:06,300
+بنكمل في decision algorithm يعطيكم العافية
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk.srt
new file mode 100644
index 0000000000000000000000000000000000000000..298a08ef814c6429c31213661ca8e580515c2e3a
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk.srt
@@ -0,0 +1,1431 @@
+1
+00:00:04,820 --> 00:00:07,080
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,080 --> 00:00:11,660
+أهلاً و أهلاً بكم في لقاء جديد، مساء  قلب البيانات، و
+
+3
+00:00:11,660 --> 00:00:14,840
+هنتكلم إن شاء الله تعالى عن اليوم عن الـ frequent
+
+4
+00:00:14,840 --> 00:00:18,960
+pattern و الـ association rules، طبعاً بما أننا
+
+5
+00:00:18,960 --> 00:00:22,980
+اتفقنا سابقاً أن الـ .. الـ .. الـ modeling task
+
+6
+00:00:22,980 --> 00:00:26,080
+تبعاتنا، الـ predictive modeling task، تنقسم إلى
+
+7
+00:00:26,080 --> 00:00:30,620
+predictive و descriptive، اتكلمنا في الـ predictive
+
+8
+00:00:30,620 --> 00:00:35,640
+اتكلمنا عن الـ classification و الـ regression أولاً،
+
+9
+00:00:35,640 --> 00:00:38,800
+اتكلمنا،  عن الـ clustering as descriptive
+
+10
+00:00:38,800 --> 00:00:41,540
+و اليوم إن شاء الله تعالى هنتكلم عن الـ affinity
+
+11
+00:00:41,540 --> 00:00:44,360
+analysis أو ما يسمى، أو ما يعرف بالـ association
+
+12
+00:00:44,360 --> 00:00:49,720
+rules أو بالـ co-occurrence، بتنفسي
+
+13
+00:00:49,720 --> 00:00:53,080
+هذه الـ outline تبعتنا، هنتطرق للمفهوم، المفاهيم
+
+14
+00:00:53,080 --> 00:00:57,580
+الأساسية للـ association rules أو للـ affinity
+
+15
+00:00:57,580 --> 00:01:02,080
+analysis، هنتكلم على transaction preparation اللي
+
+16
+00:01:02,080 --> 00:01:05,780
+هي الـ data set تبعتي، عادة كيف بتم إعدادها، الـ
+
+17
+00:01:05,780 --> 00:01:08,400
+frequent item set و الـ association rules و علاقتهم
+
+18
+00:01:08,400 --> 00:01:11,840
+مع بعض، كيف ممكن ندور على الـ association rules و
+
+19
+00:01:11,840 --> 00:01:15,490
+نشوفهم مع بعض، الـ algorithm اسمه a priori algorithm
+
+20
+00:01:15,490 --> 00:01:19,450
+وهو أكثر الـ algorithms شهرة أو استخداماً، كذلك في الـ
+
+21
+00:01:19,450 --> 00:01:23,530
+FP-Growth algorithm هتكلم عليه، هتشوفها الـ
+
+22
+00:01:23,530 --> 00:01:28,730
+association، و بعد دي، هنعمل بعض الـ evaluation للـ
+
+23
+00:01:28,730 --> 00:01:31,870
+association rule أو نشوف كيف خلال الـ show اللي
+
+24
+00:01:31,870 --> 00:01:34,990
+هنشوف كيف إحنا بنعمل evaluation للـ association
+
+25
+00:01:34,990 --> 00:01:37,890
+rules اللي موجودة عندنا.
+
+26
+00:01:40,520 --> 00:01:43,540
+طيب، على بركة الله نبدأ، بسم الله الرحمن الرحيم، الـ
+
+27
+00:01:43,540 --> 00:01:47,880
+association rules تصنف على أنها unsupervised ...
+
+28
+00:01:47,880 --> 00:01:52,140
+unsupervised  machine learning أو
+
+29
+00:01:52,140 --> 00:01:54,840
+unsupervised learning، لأنه أنا ما فيش عندي label أن
+
+30
+00:01:54,840 --> 00:01:59,300
+أتْعامل معاه، و عادة أنا بدور على الـ association
+
+31
+00:01:59,300 --> 00:02:04,580
+rules، القوانين الارتباط، أو حالات الارتباط، أو الـ
+
+32
+00:02:04,580 --> 00:02:09,220
+occurrence أو الـ patterns اللي موجودة عندي، الـ ..
+
+33
+00:02:09,220 --> 00:02:12,460
+الـ .. فعلياً الـ finding للـ association أو البحث
+
+34
+00:02:12,460 --> 00:02:14,760
+عن الـ association rules، يعني أنه أنا بدور على
+
+35
+00:02:14,760 --> 00:02:18,140
+interesting relationship ما بين الـ items اللي
+
+36
+00:02:18,140 --> 00:02:22,260
+موجودة عندي في الـ data set، وبناء عليه أنا بقى
+
+37
+00:02:22,260 --> 00:02:26,340
+أدور، شو علاقة العناصر مع بعضها في داخل الـ
+
+38
+00:02:26,340 --> 00:02:29,860
+الـ .. الآن الـ data set تبعتي، زي ما إحنا بنعرفه، عبارة
+
+39
+00:02:29,860 --> 00:02:35,600
+عن مجموعة من الـ rows identified by columns،
+
+40
+00:02:38,760 --> 00:02:41,720
+يعني فعلياً أنا كل، هي عبارة عن مجموعة من الـ
+
+41
+00:02:41,720 --> 00:02:45,420
+instances أو الـ objects، و كل object معرف من خلال
+
+42
+00:02:45,420 --> 00:02:50,220
+مجموعة الـ attributes أو الـ columns اللي موجودة
+
+43
+00:02:50,220 --> 00:02:54,200
+من خلالها، أنا هتبقى أدور في الـ data set تبعتي على
+
+44
+00:02:54,200 --> 00:02:58,600
+علاقة الـ values في الـ columns، شو علاقتهم مع بعض، هل
+
+45
+00:02:58,600 --> 00:03:03,120
+هدول الثلاثة بيظهروا دائماً ضمن rule معين، ضمن قانون
+
+46
+00:03:03,120 --> 00:03:06,710
+معين، ضمن pattern معين اللي بيحكمهم ولا لأ، وبناء
+
+47
+00:03:06,710 --> 00:03:12,000
+عليه، أنا بصير أدور على ارتباط العناصر مع بعضهم، find
+
+48
+00:03:12,000 --> 00:03:15,960
+infrequent patterns of occurrence in the dataset
+
+49
+00:03:15,960 --> 00:03:18,960
+items، هو نفس المعنى اللي إحنا بندور فيه، و أنا طبعاً
+
+50
+00:03:18,960 --> 00:03:21,260
+لما أتكلم على interesting relationship، لأنها
+
+51
+00:03:21,260 --> 00:03:26,340
+معناته العلاقة ما بين العناصر هدول، عشان أنا فعلياً
+
+52
+00:03:26,340 --> 00:03:29,220
+إذا ظهروا هذين، معناته الثالث هذا هيكون
+
+53
+00:03:29,220 --> 00:03:32,660
+مرتبط فيهم، و هيكون في عندي rule، و هذا هتكلم على
+
+54
+00:03:32,660 --> 00:03:36,580
+confidence أو support بنسب معينة، أن هذا فعلياً
+
+55
+00:03:36,580 --> 00:03:40,100
+مرتبط مع العناصرين هدول، و دائماً إذا هدول ظهروا، هذا
+
+56
+00:03:40,100 --> 00:03:43,980
+الثالث يظهر، طبعاً هذا الكلام بيهمني في التنبؤ، في
+
+57
+00:03:43,980 --> 00:03:49,760
+موضوع الأمراض، ممكن أتكلم في موضوع الأسواق والتجارة
+
+58
+00:03:49,760 --> 00:03:53,860
+إلى آخره، frequent patterns is a pattern، طبعاً هو
+
+59
+00:03:53,860 --> 00:04:03,430
+عبارة عن نمط يظهر بشكل متكرر في الـ data set، على
+
+60
+00:04:03,430 --> 00:04:15,910
+سبيل المثال، خبز و حليب يظهر عادة مع بعض في
+
+61
+00:04:15,910 --> 00:04:19,370
+عادة، عادة، عادة، عادة، عادة، عادة، عادة، عادة، عادة
+
+62
+00:04:19,370 --> 00:04:22,010
+عادة، عادة، عادة، عادة، عادة، عادة، عادة، عادة، عادة
+
+63
+00:04:26,250 --> 00:04:30,690
+السيريال أو الـ cornflakes أو غيره، ممكن يكون الشاي
+
+64
+00:04:30,690 --> 00:04:34,990
+و الحليب، ممكن يكون القهوة
+
+65
+00:04:34,990 --> 00:04:41,090
+و المبيض و السكر، الآخر، ممكن يكون مثلاً فقدان حاسة
+
+66
+00:04:41,090 --> 00:04:46,090
+الشم و حاسة التذوق بظهور الكورونا أو اللي بعيد عنكم
+
+67
+00:04:46,090 --> 00:04:50,730
+الشهور، طبعاً، أو ممكن يكون في عندنا مثلاً إذا كان في
+
+68
+00:04:50,730 --> 00:04:54,550
+عندي درجة حرارة ثمانية و ثلاثين، نقول في التشخيص هنا
+
+69
+00:04:55,110 --> 00:05:01,150
+38 درجة أو أعلى، بالإضافة
+
+70
+00:05:01,150 --> 00:05:08,190
+لكف جي
+
+71
+00:05:08,190 --> 00:05:17,430
+اتش كف جي اتش، بالإضافة لـ .. ما بعرف، ممكن يكون هناك
+
+72
+00:05:17,430 --> 00:05:21,810
+دليل على أن في عندي فيروس معين ظهر عندي.
+
+73
+00:05:34,410 --> 00:05:37,230
+بالتالي أنا بدور قاعد على الـ frequent patterns
+
+74
+00:05:37,230 --> 00:05:43,010
+هاي، لأنها فعلياً لها شغل مرتب و كويس في موضوع
+
+75
+00:05:43,010 --> 00:05:47,350
+الارتباطات، وهذا اللي زي ما قلنا بِخدمني في كتير من
+
+76
+00:05:47,350 --> 00:05:53,120
+العناصر أو من التطبيقات في الحياة، أما الـ
+
+77
+00:05:53,120 --> 00:05:56,180
+association rules learners أو الـ algorithms خاصة
+
+78
+00:05:56,180 --> 00:06:01,400
+بالـ الـ association rules، بتعتمد على أنها تدور على
+
+79
+00:06:01,400 --> 00:06:06,860
+الـ elements اللي بتظهر frequently، تمام؟ و طبعاً
+
+80
+00:06:06,860 --> 00:06:12,340
+consisting of multiple independent selections، يعني
+
+81
+00:06:12,340 --> 00:06:19,820
+عادة الـ .. لو أنا افترضت أنه مثلاً، والله أنا بتكلم
+
+82
+00:06:19,820 --> 00:06:20,740
+على الملك
+
+83
+00:06:23,600 --> 00:06:36,420
+في عندي book و عندي luna و عندي xyz، هدول كلياتهم
+
+84
+00:06:36,420 --> 00:06:40,580
+عبارة عن صنف واحد، لما أنا بتكلم independent
+
+85
+00:06:40,580 --> 00:06:45,240
+element أو independent selection، أو بتكلم والله الـ
+
+86
+00:06:45,240 --> 00:06:48,880
+milk و الـ bread أو الـ coffee،
+
+87
+00:06:52,170 --> 00:06:55,250
+two independent elements، و أنا بتدور على الـ
+
+88
+00:06:55,250 --> 00:07:00,430
+frequency أو ظهورهم بشكل مع بعض، وأكثر مثال
+
+89
+00:07:00,430 --> 00:07:04,370
+مشهور في كل الكتب، في كل الناس اللي بتتكلم على الـ
+
+90
+00:07:04,370 --> 00:07:07,270
+association rules أو الـ affinity analysis بتلاقي
+
+91
+00:07:07,270 --> 00:07:11,310
+إنهم بتتكلموا عن الـ purchasing transaction أو سلة
+
+92
+00:07:11,310 --> 00:07:15,730
+المشتريات، الشغل الثاني المهتم فيه الـ algorithm
+
+93
+00:07:15,730 --> 00:07:21,280
+discovery rules، يعني في الأول أنا بدور على الـ data
+
+94
+00:07:21,280 --> 00:07:27,980
+الـ elements اللي occurs frequently، بعدين بدور على
+
+95
+00:07:27,980 --> 00:07:31,060
+أن اكتشف الـ rules، الـ rules هذه عبارة عن
+
+96
+00:07:31,060 --> 00:07:31,560
+implication،
+
+97
+00:07:39,690 --> 00:07:44,250
+و هذه الـ implication مرتبطة بالـ elements اللي
+
+98
+00:07:44,250 --> 00:07:46,990
+أنا شفتها في الخطوة الأولى، يعني أنا فعلياً في كل الـ
+
+99
+00:07:46,990 --> 00:07:50,150
+algorithms خاصة بالـ association rules، أنا بدور على
+
+100
+00:07:50,150 --> 00:07:52,850
+الـ frequent element في الأول، بعدين بصير بدور على
+
+101
+00:07:52,850 --> 00:07:57,870
+الارتباطات ما بينهم، الـ implication، يؤدي إلى، إذا كان
+
+102
+00:07:57,870 --> 00:08:03,290
+في عندي A و B دائماً، هلاقي أنه في حيظهر عندي الـ C، و
+
+103
+00:08:03,290 --> 00:08:06,410
+هذا طبعاً، هذا الكلام اللي support و confidence
+
+104
+00:08:06,410 --> 00:08:12,150
+هنتكلم عليه كمان شوية، الـ association rules عندي
+
+105
+00:08:12,150 --> 00:08:16,670
+هان to answer a question such as if a customer
+
+106
+00:08:16,670 --> 00:08:20,850
+purchase a product A, how likely is he or she to
+
+107
+00:08:20,850 --> 00:08:25,110
+purchase a product B، يعني إذا هو اشترى A، هل هيشتري
+
+108
+00:08:25,110 --> 00:08:31,350
+B، مثلاً إذا العرض A ظهر عندي، هل العرض B هيظهر، إذا
+
+109
+00:08:31,350 --> 00:08:36,490
+كانت الأعراض A و C موجودة عندي مع بعضهم، هل الـ
+
+110
+00:08:36,490 --> 00:08:40,890
+diagnosis هيكون positive، مثلاً what the product
+
+111
+00:08:40,890 --> 00:08:44,650
+will customer buy if he or she buys a product C
+
+112
+00:08:44,650 --> 00:08:48,170
+and D، إذا اشترى هدول، إيش ممكن يشتري غيرهم، طبعاً
+
+113
+00:08:48,170 --> 00:08:52,070
+إحنا الآن بنتكلم أنه فعلياً الـ association rules
+
+114
+00:08:52,070 --> 00:08:57,070
+algorithm بيستخدم عشان شغلتين، الأولى هي Discovering
+
+115
+00:08:57,070 --> 00:09:03,990
+frequent elements، و الثانية Discovering rules، فحين
+
+116
+00:09:03,990 --> 00:09:10,500
+أن الـ association rules بتجاوب بشكل عام، إيش؟ طبعاً
+
+117
+00:09:10,500 --> 00:09:13,520
+هذه من باب الـ motivation للـ association rules، الـ
+
+118
+00:09:13,520 --> 00:09:16,060
+answer .. يمكن .. يمكن مكانها مش .. مش مناسب للـ
+
+119
+00:09:16,060 --> 00:09:19,000
+slide هاي، صحيح، answer a question such as the
+
+120
+00:09:19,000 --> 00:09:24,560
+customer purchased a product، أيه، أو بيجاوب على
+
+121
+00:09:24,560 --> 00:09:29,520
+ارتباط الـ elements مع بعضهم، من الـ motivation اللي
+
+122
+00:09:29,520 --> 00:09:32,540
+أنا بتهمني في الـ association rules، اللي هي finding
+
+123
+00:09:32,540 --> 00:09:37,840
+regularities، الشغلات الطبيعية اللي موجودة عندي هان
+
+124
+00:09:39,870 --> 00:09:43,030
+عادية، العادية اللي إحنا بنشوفها، لكن هذا من كثر ما
+
+125
+00:09:43,030 --> 00:09:45,470
+هي عادية، إحنا مش شايفين الارتباط اللي موجود هنا،
+
+126
+00:09:45,470 --> 00:09:49,450
+which products were often purchased together، إيش
+
+127
+00:09:49,450 --> 00:09:52,590
+الـ products اللي ممكن ينشروا مع بعضهم، what are the
+
+128
+00:09:52,590 --> 00:09:55,430
+sequence of purchases after buying a certain
+
+129
+00:09:55,430 --> 00:09:59,670
+product، لو اشترت سيارة مثلاً، إيش ممكن أنا أروح أساوي،
+
+130
+00:09:59,670 --> 00:10:04,790
+what kind of DNA are sensitive to a new drug، طبعاً
+
+131
+00:10:04,790 --> 00:10:08,610
+ممكن هذا مفيد جداً، المجال هذا طبعاً، فهو مجال اقتصادي
+
+132
+00:10:08,610 --> 00:10:12,480
+وهذا هو أكثر تقنية للشغل، What can automatically
+
+133
+00:10:12,480 --> 00:10:16,220
+classify؟ Can we automatically classify a web
+
+134
+00:10:16,220 --> 00:10:20,920
+document؟ بناءً على ظهور الكلمات المعينة، أو ما شاء
+
+135
+00:10:20,920 --> 00:10:23,760
+الـ applications طبعاً، تتكلم عن الـ basket data
+
+136
+00:10:23,760 --> 00:10:28,400
+analysis، الـ cross marketing، الـ catalog design، الـ
+
+137
+00:10:28,400 --> 00:10:31,940
+sale camping، الدعاية، نتكلم على الـ web log
+
+138
+00:10:31,940 --> 00:10:34,920
+analysis، نتكلم على الـ DNA analysis.
+
+139
+00:10:43,630 --> 00:10:46,350
+الـ item، الآن في بعض التعريفات اللي بدنا نشوفها، الـ
+
+140
+00:10:46,350 --> 00:10:50,730
+item is an object، الـ data set اللي موجود عندي، أو
+
+141
+00:10:50,730 --> 00:10:54,470
+بنجو سيني زي ما قلنا سابقاً، اللي هي attribute value
+
+142
+00:10:54,470 --> 00:11:03,970
+الـ data science book أو الملك، transaction items
+
+143
+00:11:03,970 --> 00:11:10,140
+purchased in basket، مع بعضهم، هي الـ elements أو الـ
+
+144
+00:11:10,140 --> 00:11:14,740
+values اللي اتشكلت عندي فعلياً، الـ attributes تبعت
+
+145
+00:11:14,740 --> 00:11:18,700
+الـ data set اللي موجودة، and it may has a
+
+146
+00:11:18,700 --> 00:11:21,400
+transaction ID، طبعاً أنا بتكلم في المبيعات، ممكن
+
+147
+00:11:21,400 --> 00:11:25,720
+يكون في عندي أنا transaction ID موجود لكل عملية
+
+148
+00:11:25,720 --> 00:11:28,720
+بيع، بالإضافة للتاريخ أو وقت البيع اللي موجود
+
+149
+00:11:28,720 --> 00:11:33,420
+عنده، لترزق، لـ transaction، الـ data set is a set or
+
+150
+00:11:33,420 --> 00:11:38,410
+is a transaction، بالمثال اللي عندي الآن، الـ
+
+151
+00:11:38,410 --> 00:11:43,770
+transaction واحد، هي الـ ID واحد، بيحتوي على ثلاث
+
+152
+00:11:43,770 --> 00:11:50,430
+عناصر، milk و bread و eggs، الـ transaction سبعة، هي
+
+153
+00:11:50,430 --> 00:11:55,570
+بيحتوي على milk و حبوب الإفطار.
+
+154
+00:12:01,440 --> 00:12:07,320
+كل الـ data set هاي بنسميها transactional data set.
+
+155
+00:12:07,320 --> 00:12:14,680
+الآن في عندي الـ item set is a set of one or more
+
+156
+00:12:14,680 --> 00:12:17,460
+items، طبعاً كلنا بنتذكر يا جماعة الخير، إحنا درسنا
+
+157
+00:12:17,460 --> 00:12:20,800
+في الـ baccalaureate، الـ discrete mathematics، و
+
+158
+00:12:20,800 --> 00:12:25,500
+اتكلمنا عن المجموعات، اتكلمنا أن أنا والله أقل
+
+159
+00:12:25,500 --> 00:12:31,440
+مجموعة بيكون فيها one element، لو لم يكن فيها مثلاً
+
+160
+00:12:31,440 --> 00:12:44,100
+مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً
+
+161
+00:12:44,100 --> 00:12:45,760
+مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً
+
+162
+00:12:45,760 --> 00:12:49,780
+مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً مثلاً
+
+163
+00:12:49,780 --> 00:12:52,880
+مثلاً
+
+164
+00:12:52,880 --> 00:12:55,400
+مثلاً
+
+165
+00:12:56,050 --> 00:12:59,790
+الـ K item set، معناته هي عبارة عن مجموعة بتحتوي
+
+166
+00:12:59,790 --> 00:13:05,370
+على K من الـ items، يعني لما قلت أنا الـ three item
+
+167
+00:13:05,370 --> 00:13:08,610
+set، معناته أنا بتكلم على مجموعة مكونة من ثلاث عناصر،
+
+168
+00:13:08,610 --> 00:13:14,330
+four item set، four item set، عفواً، الـ set of four
+
+169
+00:13:14,330 --> 00:13:20,820
+items، وهكذا، الآن في عندي مصطلح مهم بالنسبة لأقلنا
+
+170
+00:13:20,820 --> 00:13:23,240
+من الـ basic concept للـ association rules أو الـ
+
+171
+00:13:23,240 --> 00:13:26,340
+affinity analysis، اللي هو support، وهنا بنقصد فيه
+
+172
+00:13:26,340 --> 00:13:32,220
+الـ absolute support، الـ frequency أو الـ occurrence
+
+173
+00:13:32,220 --> 00:13:41,260
+of item set X، لما أنا بقول support لتبع الـ X، بتكلم
+
+174
+00:13:41,260 --> 00:13:47,930
+على عدد مرات ظهور الـ X، support count، كذلك في عندي
+
+175
+00:13:47,930 --> 00:13:54,390
+مصطلح اسمه relative support، relative support، it's
+
+176
+00:13:54,390 --> 00:13:57,350
+a fraction، لما أتكلم على fraction، معناته عبارة عن
+
+177
+00:13:57,350 --> 00:14:02,510
+قيمة أو نسبة، تمام، of the transactions that contains
+
+178
+00:14:02,510 --> 00:14:07,290
+X، عدد
+
+179
+00:14:07,290 --> 00:14:12,890
+مرات ظهور الـ X، تمام، على الـ cardinality تبع الـ data
+
+180
+00:14:12,890 --> 00:14:17,470
+set اللي موجودة عندي،
+
+223
+00:18:08,120 --> 00:18:11,340
+هنا للـ binary attributes، شو يعني binary attributes؟
+
+224
+00:18:11,340 --> 00:18:14,380
+احنا عندنا هنا أنه أنا فعلياً في عندي واحد، اثنين،
+
+225
+00:18:14,380 --> 00:18:17,600
+ثلاثة، أربعة، خمسة five elements في الـ transactional
+
+226
+00:18:17,600 --> 00:18:22,060
+dataset، عشان أحولها، معناته هذه بدها تتحول للـ
+
+227
+00:18:22,060 --> 00:18:25,620
+database أو الـ transactional dataset مكونة من
+
+228
+00:18:26,930 --> 00:18:34,710
+الخمسة attributes بالإضافة لـ transaction ID ABCDE،
+
+229
+00:18:34,710 --> 00:18:41,750
+بناءً على التسميات اللي موجودة عندي، طيب، وبصير في
+
+230
+00:18:41,750 --> 00:18:44,950
+الـ transaction اللي موجود عندي هي واحد، الـ transaction
+
+231
+00:18:44,950 --> 00:18:50,250
+رقم واحد، بما أنه binary، رح يصير في عندي هنا واحد، هنا
+
+232
+00:18:50,250 --> 00:18:57,930
+واحد، هنا صفر، هنا صفر، هنا واحد، الـ transaction الثاني
+
+233
+00:18:57,930 --> 00:19:04,490
+1 0 1 0، يعني أنه هذا فعلياً الـ element ينتمي إلى
+
+234
+00:19:04,490 --> 00:19:06,910
+transaction، ولما يكون الصفر لا ينتمي إلى
+
+235
+00:19:06,910 --> 00:19:11,510
+transaction، بنحول
+
+236
+00:19:11,510 --> 00:19:14,730
+الـ dataset اللي موجودة عندي هنا، وبالتالي الـ
+
+237
+00:19:14,730 --> 00:19:17,770
+algorithms تبعتي الخاصة بالـ association rules ممكن
+
+238
+00:19:17,770 --> 00:19:19,410
+تستخدم معظم الـ algorithms
+
+239
+00:19:25,960 --> 00:19:32,560
+هتحتاج .. عفواً، ممكن تستغني عن القوة اللي موجودة
+
+240
+00:19:32,560 --> 00:19:40,100
+هنا، بس فعلياً تكون حضارة transactional dataset، خليني
+
+241
+00:19:40,100 --> 00:19:44,980
+أفترض .. نقول والله أنه عشان نفهم الـ frequent item
+
+242
+00:19:44,980 --> 00:19:47,900
+set والـ association rules، خليني أفترض أن في عندي
+
+243
+00:19:47,900 --> 00:19:52,040
+dataset اللي هي موضوع الدراسة تبعتي مكونة من
+
+244
+00:19:52,040 --> 00:19:54,840
+transactional dataset،
+
+245
+00:19:55,880 --> 00:20:05,020
+الـ I هي عبارة عن M items dataset تحتوي على M من
+
+246
+00:20:05,020 --> 00:20:09,200
+العناصر، وهذه العناصر الموجودة في الـ transactions
+
+247
+00:20:09,200 --> 00:20:13,700
+اللي عندي، يعني أنا في عندي elements أو items M
+
+248
+00:20:13,700 --> 00:20:18,880
+items، وبالتالي أنا بقى أتكلم أن الـ dataset تبعتي
+
+249
+00:20:18,880 --> 00:20:21,980
+مكونة، أو الـ transaction، كل transaction تبعتي
+
+250
+00:20:21,980 --> 00:20:25,650
+هتشتغل ضمن الـ M transactions، الـ association rule هو
+
+251
+00:20:25,650 --> 00:20:29,850
+عبارة عن implication in
+
+252
+00:20:29,850 --> 00:20:37,210
+the form a implies b، بحيث أن الـ a والـ b هي عبارة
+
+253
+00:20:37,210 --> 00:20:41,870
+عن item set، subset من الـ I، لازم تكون من العناصر
+
+254
+00:20:41,870 --> 00:20:45,070
+اللي موجودة عندي هنا، وزي ما قلنا أقلها one
+
+255
+00:20:45,070 --> 00:20:46,910
+element، and
+
+256
+00:20:50,230 --> 00:20:54,610
+A تقاطع B = Φ، يعني بين اللي احنا بنقول عنه
+
+257
+00:20:54,610 --> 00:20:58,130
+independent، أنه ما فيش بينهم علاقة ما بين العنصرين
+
+258
+00:20:58,130 --> 00:21:02,310
+هدول، أو ما بين الـ item set اللي موجودة، ده الآن الـ
+
+259
+00:21:02,310 --> 00:21:07,290
+association rule هذا اللي موجود في الـ transaction
+
+260
+00:21:07,290 --> 00:21:12,090
+في له support، في له الـ relative support، قلنا الـ
+
+261
+00:21:12,090 --> 00:21:18,640
+relative support هي عبارة عن الـ percentage تبعت الـ
+
+262
+00:21:18,640 --> 00:21:23,100
+occurrences للاسوشيشن rule على الـ transactions اللي موجودة،
+
+263
+00:21:23,100 --> 00:21:26,940
+عملياً، الـ
+
+264
+00:21:26,940 --> 00:21:30,620
+relative
+
+265
+00:21:30,620 --> 00:21:39,400
+support، where is، where is، الـ percentage
+
+266
+00:21:39,400 --> 00:21:44,220
+of transactions that contain A اتحاد B، تحتوي
+
+267
+00:21:44,220 --> 00:21:49,080
+الـ A واتحاد B، يعني عدد مرات ظهور الـ A والـ B مع
+
+268
+00:21:49,080 --> 00:21:53,520
+بعضهم، يعني لو أنا بدي أقرأ بس عشان تكون الصورة
+
+269
+00:21:53,520 --> 00:21:58,500
+واضحة شويّة، في حالة الـ exam، بتكلم على الـ support،
+
+270
+00:21:58,500 --> 00:22:09,400
+خليني أجي أقول أن والله الـ A بدها تساوي milk و
+
+271
+00:22:09,400 --> 00:22:13,280
+cereal، والـ B equal
+
+272
+00:22:17,190 --> 00:22:23,450
+milk و sugar، وجد
+
+273
+00:22:23,450 --> 00:22:29,650
+قلت أن في عندي A implies B as association rule، و
+
+274
+00:22:29,650 --> 00:22:34,890
+بدي أحسب الـ support هان،
+
+275
+00:22:34,890 --> 00:22:41,270
+مباشرة، بدي أروح آخذ الـ elements اتحاد الـ B، ليش الـ
+
+276
+00:22:41,270 --> 00:22:44,490
+items اللي موجودة عندي، milk
+
+277
+00:22:47,940 --> 00:22:58,180
+و bread، عفواً، و cereal و sugar، مظبوط، الآن روح نعدّ
+
+278
+00:22:58,180 --> 00:23:04,640
+الـ elements هذول، والموجودات مع بعض، موجودات مع بعض
+
+279
+00:23:04,640 --> 00:23:13,280
+هي هم هان، ولا مرة، zero، طبعاً اشتغلت بشكل عشوائي،
+
+280
+00:23:13,280 --> 00:23:16,620
+خلينا نقول الـ milk والـ bread،
+
+281
+00:23:20,920 --> 00:23:28,740
+milk و bread، association with bread، هروح آخذ الـ
+
+282
+00:23:28,740 --> 00:23:32,880
+two elements هدول، milk و bread، هي واحد، milk و
+
+283
+00:23:32,880 --> 00:23:37,080
+bread هي اثنين، milk و bread هي ثلاثة، milk و bread
+
+284
+00:23:37,080 --> 00:23:42,040
+هي أربعة، معناته أربعة على تسعة، بينما كان في الأول
+
+285
+00:23:42,040 --> 00:23:47,060
+zero على تسعة، يعني أنا دائماً بدي آخذ، بدي آخذ الـ
+
+286
+00:23:47,060 --> 00:23:50,240
+relative support بناءً على أعداد الـ elements اللي
+
+287
+00:23:50,240 --> 00:23:56,340
+موجودة هنا، عشان هيك دائماً بنلاقي أنه الـ
+
+288
+00:23:56,340 --> 00:24:02,560
+probability
+
+289
+00:24:02,560 --> 00:24:08,520
+للإتحاد، عدد مرات ظهورهم، وهذا هو اللي بنسميه الـ
+
+290
+00:24:08,520 --> 00:24:13,640
+relative support، الـ relative support اللي بنرمز له
+
+291
+00:24:13,640 --> 00:24:14,760
+بالـ S
+
+292
+00:24:17,420 --> 00:24:20,720
+الآن في المقياس الثاني للـ association rule
+
+293
+00:24:20,720 --> 00:24:25,180
+اللي عندي، احنا بنسميها الـ confidence، الثقة أو
+
+294
+00:24:25,180 --> 00:24:30,860
+الموثوقية، الموثوقية،
+
+295
+00:24:30,860 --> 00:24:34,060
+الـ confidence هي عبارة عن percentage of transactions
+
+296
+00:24:34,060 --> 00:24:36,620
+containing A،
+
+297
+00:24:39,850 --> 00:24:44,750
+also containing B، يعني هي عبارة عن، يعني هي
+
+298
+00:24:44,750 --> 00:24:48,770
+فعلياً، جداش أنا وأثر، إذا كان هو ما أنا في الأول،
+
+299
+00:24:48,770 --> 00:24:53,030
+قلت support، وظهور الاثنين مع بعض، A والـ B as union،
+
+300
+00:24:53,030 --> 00:25:03,480
+بينما الآن أنا بتكلم على الـ probability (A|B)، وكأنه
+
+301
+00:25:03,480 --> 00:25:08,000
+الـ confidence تبعت الـ transaction أو الـ
+
+302
+00:25:08,000 --> 00:25:12,300
+association rule A implies B = support على الـ
+
+303
+00:25:12,300 --> 00:25:17,140
+support، هان طبعاً هان يتساوى الـ probability للـ A
+
+304
+00:25:17,140 --> 00:25:26,180
+اتحاد AB على الـ probability لحالها،
+
+305
+00:25:26,180 --> 00:25:27,360
+تمام،
+
+306
+00:25:30,700 --> 00:25:35,240
+يعني هي كده، أنا بقى أقول عدد الـ transactions اللي بتحتوي
+
+307
+00:25:35,240 --> 00:25:44,320
+على الـ B over أو على عدد الـ transactions اللي بتحتوي
+
+308
+00:25:44,320 --> 00:25:48,340
+على الـ A، فوق اللي بتحتوي على A و B، من عدد
+
+309
+00:25:48,340 --> 00:25:54,400
+الـ transactions اللي بتحتوي على الـ B، الـ association
+
+310
+00:25:54,400 --> 00:25:59,150
+rules كذلك، لازم أتحّد دائماً لما أنا بدي أتعامل
+
+311
+00:25:59,150 --> 00:26:02,190
+معها، لازم يكون في عندي زي ما قلنا minimum
+
+312
+00:26:02,190 --> 00:26:08,690
+support threshold و minimum confidence، عشان أجي أقدر
+
+313
+00:26:08,690 --> 00:26:12,130
+أقول أن والله هذا الـ rule تبعي هو عبارة عن strong
+
+314
+00:26:12,130 --> 00:26:15,890
+rule، أن الـ rule اللي عندي هان هو عبارة عن strong
+
+315
+00:26:15,890 --> 00:26:16,230
+rule،
+
+316
+00:26:20,490 --> 00:26:24,590
+الـ support والـ confidence values دائماً، بما أنهم
+
+317
+00:26:24,590 --> 00:26:29,210
+عبارة عن قيم وأنا بتكلم عن نسب، فهي من صفر إلى
+
+318
+00:26:29,210 --> 00:26:33,290
+مائة في المائة، القيم تبعتهم، ودائماً الـ domain
+
+319
+00:26:33,290 --> 00:26:36,330
+expert زي ما قلت هو اللي بيحدد الـ minimum support
+
+320
+00:26:36,330 --> 00:26:39,210
+والـ minimum confidence،
+
+321
+00:26:43,070 --> 00:26:46,390
+The occurrence frequency of an item set is the
+
+322
+00:26:46,390 --> 00:26:51,290
+number of transactions that contains the item set،
+
+323
+00:26:51,290 --> 00:26:54,890
+هل
+
+324
+00:26:54,890 --> 00:27:02,890
+أنا دائماً مقيد أن أشتغل بالـ Relative Support؟ إذا
+
+325
+00:27:02,890 --> 00:27:11,770
+كانت عندي هي عبارة عن Probability للـ A اتحاد الـ
+
+326
+00:27:11,770 --> 00:27:20,260
+B، هذه عبارة عن عدد أو ظهور الـ A والـ B مع بعضهم
+
+327
+00:27:20,260 --> 00:27:26,280
+على الـ cardinality، على الـ dataset اللي موجودة، على
+
+328
+00:27:26,280 --> 00:27:29,860
+عدد عناصر الـ dataset، وهذا دائماً constant، ثابت،
+
+329
+00:27:29,860 --> 00:27:35,080
+فممكن
+
+330
+00:27:35,080 --> 00:27:49,720
+أنا أستغني عنه، إذا كانت
+
+331
+00:27:49,720 --> 00:27:54,520
+الـ item set اللي عندي تجاوزت
+
+332
+00:27:55,850 --> 00:28:00,510
+تمام، الـ threshold اللي موجود، معناته هي frequent
+
+333
+00:28:00,510 --> 00:28:04,630
+item set، وبالتالي الـ support للـ I يجب أن يكون
+
+334
+00:28:04,630 --> 00:28:09,050
+أكبر أو يساوي الـ θ اللي هي الـ minimum support
+
+335
+00:28:09,050 --> 00:28:14,730
+أو الـ threshold اللي موجود عندها، فخليني بعدين أعدّل
+
+336
+00:28:14,730 --> 00:28:19,250
+على السريع الـ animation اللي موجودة، مخليها ما في
+
+337
+00:28:19,250 --> 00:28:25,380
+مشكلة يعني، بس المفروض أن لو أنا قلت أحسب الـ support
+
+338
+00:28:25,380 --> 00:28:29,660
+لـ A implies B على الـ dataset اللي موجودة عندها،
+
+339
+00:28:29,660 --> 00:28:33,040
+تقول لنا الـ support هو عبارة عن probability للـ union،
+
+340
+00:28:33,040 --> 00:28:37,000
+يعني أن أنا بدي أعدّ، أعدّ مرات اللي ظهرت A و B مع
+
+341
+00:28:37,000 --> 00:28:48,860
+بعض، هي واحد، اثنين، ثلاثة، أربعة، وبالتالي أربعة على
+
+342
+00:28:48,860 --> 00:28:50,180
+تسعة،
+
+343
+00:28:52,200 --> 00:28:58,520
+تمام، طيب، لو أنا بدي الـ confidence الآن، الـ
+
+344
+00:28:58,520 --> 00:29:04,880
+confidence للـ
+
+345
+00:29:04,880 --> 00:29:11,540
+A implies B، شو بدها تساوي؟ الـ confidence هي عبارة عن
+
+346
+00:29:11,540 --> 00:29:17,040
+الـ support للـ A implies B، زي ما قلنا الـ
+
+347
+00:29:17,040 --> 00:29:20,640
+support للـ A implies الـ B على
+
+348
+00:29:27,870 --> 00:29:38,700
+أربعة على تسعة، على 1 2 3 4 5 6، الـ support تبع الـ A،
+
+349
+00:29:38,700 --> 00:29:45,540
+6 على 9، الـ 9 مع التسعة بتروح، بصير في عندي 4 على 6،
+
+350
+00:29:45,540 --> 00:29:49,960
+عشان هي كده، ممكن أنا أستغني عن الـ elements اللي
+
+351
+00:29:49,960 --> 00:29:58,620
+موجودة عندها بشكل مباشر كمان،
+
+352
+00:29:58,620 --> 00:30:15,480
+مثال، الـ support تبع الـ A، B implies C، اتحادهم،
+
+353
+00:30:15,480 --> 00:30:23,840
+يعني الثلاثة مع بعض، ABC، واحد، اثنين، تمام، هو متساوي،
+
+354
+00:30:23,840 --> 00:30:31,150
+اثنين على تسعة، الـ confidence للـ A، B implies C،
+
+355
+00:30:31,150 --> 00:30:41,350
+يساوي الـ support اللي فوق، اثنين على A و B مع بعضهم،
+
+356
+00:30:41,350 --> 00:30:53,850
+واحد، اثنين، ثلاثة، أربعة، على أربعة، بتساوي نصف، عفواً،
+
+357
+00:31:01,760 --> 00:31:07,840
+الـ important concept عندي هان، every subset من الـ
+
+358
+00:31:07,840 --> 00:31:12,540
+frequent set is a frequent، أي مجموعة جزئية من الـ
+
+359
+00:31:12,540 --> 00:31:16,280
+frequent set، معناته هي frequent، لو أنا أجيت قلت
+
+360
+00:31:16,280 --> 00:31:20,860
+والله أن في عندي أنا مجموعة A و B و C،
+
+361
+00:31:23,130 --> 00:31:27,870
+عبارة عن frequent set، عبارة عن frequent set، يعني
+
+362
+00:31:27,870 --> 00:31:31,330
+الـ minimum support تجاوزت الـ threshold، والـ
+
+363
+00:31:31,330 --> 00:31:35,650
+minimum confidence، طبعاً الـ frequent يعني أننا
+
+364
+00:31:35,650 --> 00:31:40,410
+بتكلم عن الـ support، تجاوزت، الـ support تجاوزت الـ
+
+365
+00:31:40,410 --> 00:31:44,750
+threshold اللي موجود عندها، معناته أي subset منها
+
+366
+00:31:44,750 --> 00:31:49,570
+هي عبارة عن frequent، هدول كلهم subsets،
+
+367
+00:31:54,110 --> 00:31:58,890
+A و C عبارة عن subset، B و C عبارة عن subset، فهي
+
+368
+00:31:58,890 --> 00:32:03,890
+أنا في عندي، طيب، لو أنا بدي أذكركم بالرياضيات
+
+369
+00:32:03,890 --> 00:32:08,270
+المنفصلة، كمان مرة، في شغلة مهمة جاية الآن، يدش عدد
+
+370
+00:32:08,270 --> 00:32:11,470
+المجموعات الجزئية اللي ممكن تكون منها من أي مجموعة،
+
+371
+00:32:11,470 --> 00:32:18,450
+الآن، عدد المجموعات الجزئية من أي مجموعة، تمام، يساوي
+
+372
+00:32:18,450 --> 00:32:23,620
+2<sup>n</sup>، n هي الـ cardinality للـ set اللي موجودة عندها، عدد
+
+373
+00:32:23,620 --> 00:32:28,220
+عناصر الـ set، هنا عندي أنا ثلاثة، معناته 2<sup>3</sup>،
+
+374
+00:32:28,220 --> 00:32:33,020
+معناته يساوي ثمانية، ثمانية هي واحد، اثنين،
+
+375
+00:32:33,020 --> 00:32:37,080
+ثلاثة، أربعة، خمسة، ستة، ضايفة اثنين، الـ Φ، المجموعة
+
+376
+00:32:37,080 --> 00:32:40,840
+الخالية، subset من أي جزئية، وكل مجموعة عبارة عن
+
+377
+00:32:40,840 --> 00:32:46,440
+مجموعة جزئية من نفسها، وهي ثمان مجموعات، لو كان عندي
+
+378
+00:32:46,440 --> 00:32:53,530
+رقمين A و B فقط، 2<sup>2</sup>، معناته أربعة، الـ
+
+379
+00:32:53,530 --> 00:32:58,450
+Φ، والمجموعة نفسها، A و B، بالإضافة لكمان مجموعتين،
+
+380
+00:32:58,450 --> 00:33:02,690
+الـ A لحال، والـ B لحال، هذه بنسميها احنا الـ power
+
+381
+00:33:02,690 --> 00:33:08,170
+set، الـ set of subsets، الـ set contains all subsets of
+
+382
+00:33:08,170 --> 00:33:12,450
+C، طبعاً هنا عشان ما أطولش، دائماً في عدد العناصر،
+
+383
+00:33:12,450 --> 00:33:16,290
+فاحنا دائماً بنقول every subset of a frequent set is
+
+384
+00:33:16,290 --> 00:33:16,990
+a frequent،
+
+385
+00:33:20,930 --> 00:33:23,850
+هذا الكلام اللي شرحناه سابقاً، لو كان في عندي أنا
+
+386
+00:33:23,850 --> 00:33:29,290
+الـ A، B is frequent، hence the occurrence of A و B
+
+387
+00:33:29,290 --> 00:33:34,410
+include both A و B، وتقريباً جماعة الخير، كل الـ
+
+388
+00:33:34,410 --> 00:33:37,870
+algorithms اللي خاصة بالـ association rules بنيت
+
+389
+00:33:37,870 --> 00:33:44,480
+على هذه الخاصية، أنا دائماً أبحث عن الـ Frequent Set،
+
+390
+00:33:44,480 --> 00:33:47,940
+وكل العناصر اللي فيها هي عبارة عن Frequent،
+
+391
+00:33:47,940 --> 00:33:55,160
+Finding Association Rules يعتمد على شغلتين، الشغل
+
+392
+00:33:55,160 --> 00:34:02,980
+الأولى أنه يحدد كل Frequent Item Set، طبعاً لتكون الـ
+
+393
+00:34:02,980 --> 00:34:05,260
+frequency تبعتها أكبر من الـ threshold، أكبر أو
+
+394
+00:34:05,260 --> 00:34:09,020
+تساوي، وبعدين بروح بيعمل generation لـ strong
+
+395
+00:34:09,020 --> 00:34:14,300
+association rules، الآن frequent معناته هي أكبر من
+
+396
+00:34:14,300 --> 00:34:18,120
+الـ minimum support، الـ support تبعتها أكبر من الـ
+
+397
+00:34:18,120 --> 00:34:22,810
+minimum support اللي هي بنسميها الـ θ، الـ Strong
+
+398
+00:34:22,810 --> 00:34:26,110
+Association Rule هي عبارة عن أن الـ support تبعتها
+
+399
+00:34:26,110 --> 00:34:29,990
+أكبر من الـ minimum support، هي من هنا تمام، والـ
+
+400
+00:34:29,990 --> 00:34:32,750
+confidence تبعتها أكبر من ال
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..477c352079a3549173addfbe201b952fcd465fc5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_postprocess.srt
@@ -0,0 +1,1616 @@
+1
+00:00:04,820 --> 00:00:07,080
+بسم الله والحمد لله و الصلاة والسلام على رسول الله
+
+2
+00:00:07,080 --> 00:00:11,660
+أهلا و أهلا بكم في لقاء جديد مساء قلب البيانات و
+
+3
+00:00:11,660 --> 00:00:14,840
+هنتكلم ان شاء الله تعالى عن اليوم عن ال frequent
+
+4
+00:00:14,840 --> 00:00:18,960
+pattern و ال association rulesطبعاً بما أننا
+
+5
+00:00:18,960 --> 00:00:22,980
+اتفقنا سابقاً ان ال .. ال .. ال modeling task
+
+6
+00:00:22,980 --> 00:00:26,080
+تبعاتنا ال predictive modeling task تنقسم إلى
+
+7
+00:00:26,080 --> 00:00:30,620
+predictive و descriptive اتكلمنا في ال predictive
+
+8
+00:00:30,620 --> 00:00:35,640
+اتكلمنا عن ال classification و ال regression اول
+
+9
+00:00:35,640 --> 00:00:38,800
+اتكلمها ان اتكلمنا عن ال clustering as descriptive
+
+10
+00:00:38,800 --> 00:00:41,540
+و اليوم ان شاء الله تعالى هنتكلم عن ال affinity
+
+11
+00:00:41,540 --> 00:00:44,360
+analysis او ما يسمى او ما يعرف بال association
+
+12
+00:00:44,360 --> 00:00:49,720
+rulesأو بالـ co-occurrence بتنفسي
+
+13
+00:00:49,720 --> 00:00:53,080
+هذه الـ outline تبعتنا هنتطرق للمفهوم المفاهيم
+
+14
+00:00:53,080 --> 00:00:57,580
+الأساسية لل association rules أو لل affinity
+
+15
+00:00:57,580 --> 00:01:02,080
+analysis هنتكلم على transaction preparation اللي
+
+16
+00:01:02,080 --> 00:01:05,780
+هي ال data set تبعتي عادة كيف بتم إعدادها ال
+
+17
+00:01:05,780 --> 00:01:08,400
+frequent item set و ال association rules و علاقتهم
+
+18
+00:01:08,400 --> 00:01:11,840
+مع بعض كيف ممكن ندور على ال association rules و
+
+19
+00:01:11,840 --> 00:01:15,490
+نشوفهممع بعض ال algorithm اسمه a priori algorithm
+
+20
+00:01:15,490 --> 00:01:19,450
+وهو اكثر ال algorithm شهرة او استخداما كذلك في ال
+
+21
+00:01:19,450 --> 00:01:23,530
+FB Growth ال algorithm هتكلم عليه هتشوفها ال
+
+22
+00:01:23,530 --> 00:01:28,730
+association و بعد دي هحنعمل بعض ال evaluation لل
+
+23
+00:01:28,730 --> 00:01:31,870
+association rule او نشوف كيف خلال ال show اللي
+
+24
+00:01:31,870 --> 00:01:34,990
+هنشوف كيف احنا بنعمل evaluation لل association
+
+25
+00:01:34,990 --> 00:01:37,890
+rules اللي موجودة عندنا
+
+26
+00:01:40,520 --> 00:01:43,540
+طيب على بركة الله نبدأ بسم الله الرحمن الرحيم ال
+
+27
+00:01:43,540 --> 00:01:47,880
+association rules تصنف علي انها unsupported ..
+
+28
+00:01:47,880 --> 00:01:52,140
+unsupervised عفوا ل .. machine learning او
+
+29
+00:01:52,140 --> 00:01:54,840
+unsupervised learning لأنه انا مافيش عندي label ان
+
+30
+00:01:54,840 --> 00:01:59,300
+اتعامل معاه و عادة انا بدور على ال association
+
+31
+00:01:59,300 --> 00:02:04,580
+rules القوانين الارتباط او حالات الارتباط او ال
+
+32
+00:02:04,580 --> 00:02:09,220
+occurrence أو ال patterns اللي موجودة عنديالـ ..
+
+33
+00:02:09,220 --> 00:02:12,460
+ال .. فعليا الـ finding للـ association أو البحث
+
+34
+00:02:12,460 --> 00:02:14,760
+عن ال association rules يعني أنه أنا بدور على
+
+35
+00:02:14,760 --> 00:02:18,140
+interesting relationship ما بين ال items اللي
+
+36
+00:02:18,140 --> 00:02:22,260
+موجودة عندي في ال data set وبناء على هكذا أنا بقى
+
+37
+00:02:22,260 --> 00:02:26,340
+دور شو علاقة العناصر مع بعضها مع بعضها في داخل ال
+
+38
+00:02:26,340 --> 00:02:29,860
+.. الآن ال data set تبعتي زي ما احنا بنعرفه عبارة
+
+39
+00:02:29,860 --> 00:02:35,600
+عن مجموعة من ال rows identified by columns
+
+40
+00:02:38,760 --> 00:02:41,720
+يعني فعليا انا كل هي عبارة عن مجموعة من ال
+
+41
+00:02:41,720 --> 00:02:45,420
+instances او ال objects وكل object معرف من خلال
+
+42
+00:02:45,420 --> 00:02:50,220
+المجموعة ال attributes او ال columns اللي موجودة
+
+43
+00:02:50,220 --> 00:02:54,200
+من خلالها انا هتبقى ادور في ال data set تبعتي على
+
+44
+00:02:54,200 --> 00:02:58,600
+علاقة ال values في ال columns شو علاقتهم مع بعض هل
+
+45
+00:02:58,600 --> 00:03:03,120
+هدول التلاتة بيظهروا دائما ضمن rule معين ضمن قانون
+
+46
+00:03:03,120 --> 00:03:06,710
+معين ضمن pattern معين اللي بيحكمهم ولا لأوبناء
+
+47
+00:03:06,710 --> 00:03:12,000
+عليه أنا بصير أدور على ارتباط العناصر مع بعضهمfind
+
+48
+00:03:12,000 --> 00:03:15,960
+infrequent patterns of occurrence in the dataset
+
+49
+00:03:15,960 --> 00:03:18,960
+items هو نفس المعنى اللي احنا بندور فيه و انا طبعا
+
+50
+00:03:18,960 --> 00:03:21,260
+لما اتكلم على interesting relationship لأن انها
+
+51
+00:03:21,260 --> 00:03:26,340
+معنى بالعلاقة ما بين العناصر هدول عشان انا فعليا
+
+52
+00:03:26,340 --> 00:03:29,220
+اذا ظهروا هدول التنين معناته التالت هذا هيكون
+
+53
+00:03:29,220 --> 00:03:32,660
+مرتبط فيهم و هيكون في عندي role و هذا هتكلم على
+
+54
+00:03:32,660 --> 00:03:36,580
+confidence او support بنسب معينة ان هذا فعليا
+
+55
+00:03:36,580 --> 00:03:40,100
+مرتبط مع العناصرين هدول و دازم اذا هدول ظهروا هذا
+
+56
+00:03:40,100 --> 00:03:43,980
+التالتيظهر طبعا هذا الكلام بيهمني في التنبؤ في
+
+57
+00:03:43,980 --> 00:03:49,760
+موضوع الأمراض ممكن اتكلم في موضوع الأسواق والتجارة
+
+58
+00:03:49,760 --> 00:03:53,860
+إلى آخره frequent patterns is a pattern طبعا هو
+
+59
+00:03:53,860 --> 00:04:03,430
+عبارة عن نمط يظهر بشكل متكرر في ال data setعلى
+
+60
+00:04:03,430 --> 00:04:15,910
+سبيل المثال، خبز والحليب يظهر عامة مع بعض في
+
+61
+00:04:15,910 --> 00:04:19,370
+عملة عامة عامة عامة عامة عامة عامة عامة عامة عامة
+
+62
+00:04:19,370 --> 00:04:22,010
+عامة عامة عامة عامة عامة عامة عامة عامة عامة
+
+63
+00:04:26,250 --> 00:04:30,690
+السيريال او ال cornflakes او غيره ممكن يكون الشاي
+
+64
+00:04:30,690 --> 00:04:34,990
+والحليب ممكن يكون الجهوة
+
+65
+00:04:34,990 --> 00:04:41,090
+والمبيض والسكر الاخري ممكن يكون مثلا فقدان حاسة
+
+66
+00:04:41,090 --> 00:04:46,090
+الشم وحاسة التذوق بظهور الكورونا او اللي بعيد عنكم
+
+67
+00:04:46,090 --> 00:04:50,730
+الشهر طبعا او ممكن يكون في عندنا مثلا اذا كان في
+
+68
+00:04:50,730 --> 00:04:54,550
+عندي درجة حرارة تمانية وتلاتين نقول في التشخيص هنا
+
+69
+00:04:55,110 --> 00:05:01,150
+38 درجة او اعلى بالاضافة
+
+70
+00:05:01,150 --> 00:05:08,190
+لكف جي
+
+71
+00:05:08,190 --> 00:05:17,430
+اتش كف جي اتش بالاضافة ل .. ما بعرف ممكن يكون هناك
+
+72
+00:05:17,430 --> 00:05:21,810
+دليل على ان في عندى فيروس معين ظهر عندى
+
+73
+00:05:34,410 --> 00:05:37,230
+بالتالي أنا بدور قاعد على الـ frequent patterns
+
+74
+00:05:37,230 --> 00:05:43,010
+هاي لأنها فعلياً لها شغل مرتب و كويس في موضوع
+
+75
+00:05:43,010 --> 00:05:47,350
+الإرتباطات وهذا اللي زي ما قلنا بيخدمني في كتير من
+
+76
+00:05:47,350 --> 00:05:53,120
+العناصر أو من التطبيقات في الحياةأما الـ
+
+77
+00:05:53,120 --> 00:05:56,180
+association rules learners أو الـ algorithm خاصة
+
+78
+00:05:56,180 --> 00:06:01,400
+بالـ ال association rules بتعتمد على أنها تدور على
+
+79
+00:06:01,400 --> 00:06:06,860
+ال element اللي بتظهر frequently تمام؟ و طبعا
+
+80
+00:06:06,860 --> 00:06:12,340
+consisting of multiple independent selection يعني
+
+81
+00:06:12,340 --> 00:06:19,820
+عادة ال .. لو أنا فترضت أنه مثلا والله أنا بتكلم
+
+82
+00:06:19,820 --> 00:06:20,740
+على الملك
+
+83
+00:06:23,600 --> 00:06:36,420
+في عندى book و عندى luna و عندى xyz هدولة كلياتهم
+
+84
+00:06:36,420 --> 00:06:40,580
+عبارة عن صنف واحد لما انا بتكلم independent
+
+85
+00:06:40,580 --> 00:06:45,240
+element او independent selection او بتكلم والله ال
+
+86
+00:06:45,240 --> 00:06:48,880
+milk و ال bread او ال coffee
+
+87
+00:06:52,170 --> 00:06:55,250
+two independent elements وانا بتدور على ال
+
+88
+00:06:55,250 --> 00:07:00,430
+frequency أو ظهورهم بشكل ما بعض بعض وأكتر مثال
+
+89
+00:07:00,430 --> 00:07:04,370
+مشهور في كل الكتب في كل الناس اللي بتتكلم على ال
+
+90
+00:07:04,370 --> 00:07:07,270
+association rules او ال affinity analysis بتلاقي
+
+91
+00:07:07,270 --> 00:07:11,310
+انهم بتتكلموا عن ال purchasing transaction او سلة
+
+92
+00:07:11,310 --> 00:07:15,730
+المشتريات الشغل التاني المهتم فيها ال algorithm
+
+93
+00:07:15,730 --> 00:07:21,280
+discovery rules يعني في الأول انا بدور علىالـ data
+
+94
+00:07:21,280 --> 00:07:27,980
+ال elements اللي occurs frequently بعدين بدور على
+
+95
+00:07:27,980 --> 00:07:31,060
+ان اكتشف ال rules ال rules هذه عبارة عن
+
+96
+00:07:31,060 --> 00:07:31,560
+implication
+
+97
+00:07:39,690 --> 00:07:44,250
+وهذه الـ implication مرتبطة بـ الـ elements اللي
+
+98
+00:07:44,250 --> 00:07:46,990
+أنا شفتها في الخطوة الأولى يعني أنا فعليا في كل ال
+
+99
+00:07:46,990 --> 00:07:50,150
+algorithm خاصة بال association rules أنا بدور على
+
+100
+00:07:50,150 --> 00:07:52,850
+ال frequent element في الأول بعدين بصير بدور على
+
+101
+00:07:52,850 --> 00:07:57,870
+الارتباطات ما بينهم ال implication يؤدي إلىإذا كان
+
+102
+00:07:57,870 --> 00:08:03,290
+في عندي A و B دائما حلاقي انه في حيظهر عندي ال C و
+
+103
+00:08:03,290 --> 00:08:06,410
+هذا طبعا هذا الكلام اللي support و confidence
+
+104
+00:08:06,410 --> 00:08:12,150
+هنتكلم عليه كمان شوية ال association rules عندي
+
+105
+00:08:12,150 --> 00:08:16,670
+هان to answer a question such as if a customer
+
+106
+00:08:16,670 --> 00:08:20,850
+purchase a product A how likely is he or she to
+
+107
+00:08:20,850 --> 00:08:25,110
+purchase a product B يعني إذا هو اشترى A هل هيشتري
+
+108
+00:08:25,110 --> 00:08:31,350
+Bمثلا اذا العرض A اظهر عندى هل العرض B هيظهر اذا
+
+109
+00:08:31,350 --> 00:08:36,490
+كانت الاعراض A وC موجودة عندى مع بعضهم هل ال
+
+110
+00:08:36,490 --> 00:08:40,890
+diagnosis هيكون positive مثلا what the product
+
+111
+00:08:40,890 --> 00:08:44,650
+will customer buy if he or she buys a product C
+
+112
+00:08:44,650 --> 00:08:48,170
+and D اذا اشترى هدول ايش ممكن يشتري غيرهم طبعا
+
+113
+00:08:48,170 --> 00:08:52,070
+احنا الآن بنتكلم انه فعليا ال association rules
+
+114
+00:08:52,070 --> 00:08:57,070
+algorithm بيستخدم عشان شغلتين الاولىهي Discovering
+
+115
+00:08:57,070 --> 00:09:03,990
+frequent elements والتانية Discovering rules فحين
+
+116
+00:09:03,990 --> 00:09:10,500
+أن ال association rules بتجاوب بشكل عامأيش؟ طبعا
+
+117
+00:09:10,500 --> 00:09:13,520
+هذه من باب ال motivation لل association rules ال
+
+118
+00:09:13,520 --> 00:09:16,060
+answer .. يمكن .. يمكن مكانها مش .. مش مناسب لل
+
+119
+00:09:16,060 --> 00:09:19,000
+slide هاي صحيح answer a question such as the
+
+120
+00:09:19,000 --> 00:09:24,560
+customer purchased a product ايه او بيجاوب على
+
+121
+00:09:24,560 --> 00:09:29,520
+ارتباط ال elements مع بعضهم من ال motivation اللي
+
+122
+00:09:29,520 --> 00:09:32,540
+انا بتهمني في ال association rules اللي هي finding
+
+123
+00:09:32,540 --> 00:09:37,840
+regularities الشغلات الطبيعية اللي موجودة عندي هان
+
+124
+00:09:39,870 --> 00:09:43,030
+عادية العادية اللي احنا بنشوفها لكن هذا من كتر ما
+
+125
+00:09:43,030 --> 00:09:45,470
+هي عادية احنا مش شايفين الارتباط اللي موجود هنا
+
+126
+00:09:45,470 --> 00:09:49,450
+which products were often purchased together ايش
+
+127
+00:09:49,450 --> 00:09:52,590
+ال products اللي ممكن ينشروا مع بعضهم what are the
+
+128
+00:09:52,590 --> 00:09:55,430
+sequence of purchases after buying a certain
+
+129
+00:09:55,430 --> 00:09:59,670
+productلو اشترت سيارة مثلا ايش ممكن انا اروح اساوي
+
+130
+00:09:59,670 --> 00:10:04,790
+what kind of DNA are sensitive to a new drug طبعا
+
+131
+00:10:04,790 --> 00:10:08,610
+ممكن هذا مفيد جدا المجال هذا طبعا فهو مجال اقتصادي
+
+132
+00:10:08,610 --> 00:10:12,480
+وهذا هو اكثر تقنية للشغلWhat can automatically
+
+133
+00:10:12,480 --> 00:10:16,220
+classify؟ Can we automatically classify a web
+
+134
+00:10:16,220 --> 00:10:20,920
+document؟ بناء على ظهور الكلمات المعينة أو ما شاء
+
+135
+00:10:20,920 --> 00:10:23,760
+ال application طبعا تتكلم عن ال basket data
+
+136
+00:10:23,760 --> 00:10:28,400
+analysis ال cross marketing ال catalog design ال
+
+137
+00:10:28,400 --> 00:10:31,940
+sale camping الدعاية نتكلم على ال web blog
+
+138
+00:10:31,940 --> 00:10:34,920
+analysis نتكلم على ال DNA analysis
+
+139
+00:10:43,630 --> 00:10:46,350
+الـ item الان في بعض التعريفات اللي بدنا نشوفها ال
+
+140
+00:10:46,350 --> 00:10:50,730
+item is an object ال data set اللي موجود عندي أو
+
+141
+00:10:50,730 --> 00:10:54,470
+بنجو سيني زي ما قلنا سابقا اللي هي attribute value
+
+142
+00:10:54,470 --> 00:11:03,970
+ال data science book او الملك transaction items
+
+143
+00:11:03,970 --> 00:11:10,140
+purchased in basket مع بعضهمهي الـ element أو الـ
+
+144
+00:11:10,140 --> 00:11:14,740
+values اللي اتشكلت عندي فعليا ال attributes تبعت
+
+145
+00:11:14,740 --> 00:11:18,700
+ال data set اللي موجودة and it may has a
+
+146
+00:11:18,700 --> 00:11:21,400
+transaction ID طبعا انا بتكلم في المبيعات ممكن
+
+147
+00:11:21,400 --> 00:11:25,720
+يكون في عندي انا transaction ID موجود لكل عملية
+
+148
+00:11:25,720 --> 00:11:28,720
+تبيع بالاضافة للتاريخ او وقت البيع اللي موجود
+
+149
+00:11:28,720 --> 00:11:33,420
+عندها لترزق ل transaction ال data set is a set or
+
+150
+00:11:33,420 --> 00:11:38,410
+is a transactionبالمثال اللي عندي الان ال
+
+151
+00:11:38,410 --> 00:11:43,770
+transaction واحد هي ال ID واحد بيحتوي على تلت
+
+152
+00:11:43,770 --> 00:11:50,430
+عناصر milk و bread و eggs ال transaction سبعة هي
+
+153
+00:11:50,430 --> 00:11:55,570
+بيحتوي على milk و حبوب الإفطار
+
+154
+00:12:01,440 --> 00:12:07,320
+كل ال data set هاي بنسميها transactional data set
+
+155
+00:12:07,320 --> 00:12:14,680
+الان في عندي ال item set is a set of one or more
+
+156
+00:12:14,680 --> 00:12:17,460
+items طبعا كلنا بنتذكر يا جماعة الخير احنا درسنا
+
+157
+00:12:17,460 --> 00:12:20,800
+في ال baccalaureate ال discrete mathematics و
+
+158
+00:12:20,800 --> 00:12:25,500
+اتكلمنا عن المجموعات اتكلمنا ان انا والله اقل
+
+159
+00:12:25,500 --> 00:12:31,440
+مجموعة بيكون فيها one elementلو لم يكن فيها مثلًا
+
+160
+00:12:31,440 --> 00:12:44,100
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+161
+00:12:44,100 --> 00:12:45,760
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+162
+00:12:45,760 --> 00:12:49,780
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+163
+00:12:49,780 --> 00:12:52,880
+مثلًا
+
+164
+00:12:52,880 --> 00:12:55,400
+مثلًا
+
+165
+00:12:56,050 --> 00:12:59,790
+الـ K item set معناته هي عبارة عن مجموعة بتحتوي
+
+166
+00:12:59,790 --> 00:13:05,370
+على K من ال items يعني لما قلت انا ال three item
+
+167
+00:13:05,370 --> 00:13:08,610
+set معناته انا بتكلم على مجموعة مكونة من تلت عناصر
+
+168
+00:13:08,610 --> 00:13:14,330
+four item set four item set عفوا ال set of four
+
+169
+00:13:14,330 --> 00:13:20,820
+items و هكذاالان في عندي مصطلح مهم بالنسبة لأقلنا
+
+170
+00:13:20,820 --> 00:13:23,240
+من ال basic concept لل association rules أو ال
+
+171
+00:13:23,240 --> 00:13:26,340
+affinity analysis اللي هو support وهنا بنقصد فيه
+
+172
+00:13:26,340 --> 00:13:32,220
+ال absolute support ال frequency أو ال occurrence
+
+173
+00:13:32,220 --> 00:13:41,260
+of item set X لما انا بقول support لتبع ال X بتكلم
+
+174
+00:13:41,260 --> 00:13:47,930
+على عدد مرات ظهور ال X support countكذلك في عندى
+
+175
+00:13:47,930 --> 00:13:54,390
+مصطلح اسمه relative support relative support it's
+
+176
+00:13:54,390 --> 00:13:57,350
+a fraction لما اتكلم على fraction معناته عبارة عن
+
+177
+00:13:57,350 --> 00:14:02,510
+قيمة او نسبة تمام of the transaction that contains
+
+178
+00:14:02,510 --> 00:14:07,290
+X عدد
+
+179
+00:14:07,290 --> 00:14:12,890
+مرات ظهور ال X تمام على ال cardinality تبع ال data
+
+180
+00:14:12,890 --> 00:14:17,470
+set اللى موجودة عندىThe probability that the
+
+181
+00:14:17,470 --> 00:14:21,150
+transaction contains X احتمال ان ال X موجود جداش
+
+182
+00:14:21,150 --> 00:14:26,630
+نسبة ظهوره تمام فهنا متكلم على انه عدد مرات ظهور
+
+183
+00:14:26,630 --> 00:14:33,990
+ال X على ال cardinality او عدد عناصر ال data set
+
+184
+00:14:33,990 --> 00:14:35,930
+اللي موجودة عندى
+
+185
+00:14:41,750 --> 00:14:51,590
+An item set x is a frequent if x support is not
+
+186
+00:14:51,590 --> 00:14:54,570
+less than the minimum support threshold
+
+187
+00:15:02,020 --> 00:15:06,440
+الـ Frequency أو الـ Frequent Item Set يعني أنا مش
+
+188
+00:15:06,440 --> 00:15:11,580
+هقول ان هذا شائع الظهور او كثير الظهور الا لو حقق
+
+189
+00:15:11,580 --> 00:15:14,920
+نسبة معينة مثلا اقول و الله عدد مرات الظهور و عشرة
+
+190
+00:15:16,990 --> 00:15:19,410
+أقل شيء ال minimum عشر أو فوق معناته بيصير
+
+191
+00:15:19,410 --> 00:15:24,610
+frequent متداول أو مشهور أو معروف أو كثير الظهور
+
+192
+00:15:24,610 --> 00:15:28,110
+تمام لكن أقل من عشرة لأ طب مين اللي بيحط ال
+
+193
+00:15:28,110 --> 00:15:31,430
+minimum support عادة ال expert في ال domain هذا هو
+
+194
+00:15:31,430 --> 00:15:37,240
+اللي بيحدد المجال اللي موجود أو يعنيعندما أتكلم عن
+
+195
+00:15:37,240 --> 00:15:40,960
+الـ Transaction Set أو الـ Transactional Data Set
+
+196
+00:15:40,960 --> 00:15:44,540
+عادةً ال Transactional Data Set بالشكل هذا لو أنا
+
+197
+00:15:44,540 --> 00:15:51,020
+بدأ أخد على تبع الـ Salary أو عفوا Sales
+
+198
+00:15:51,020 --> 00:15:57,640
+Transaction Set أو سلة المشتريات Basket Sales أو
+
+199
+00:15:57,640 --> 00:16:01,290
+Purchasing Basketفعلياً هي أسهل حاجة ممكن انا
+
+200
+00:16:01,290 --> 00:16:06,030
+اتعامل فيها و اروح باتجاهها عشان استوعب مفهوم الـ
+
+201
+00:16:06,030 --> 00:16:09,810
+Affinity Analysis لكن ممكن لو كان في عندي مجال ان
+
+202
+00:16:09,810 --> 00:16:14,770
+انا استوعب الـ DNA والارتباط ال genes اللي فيها
+
+203
+00:16:17,370 --> 00:16:21,190
+عفوا معناته انا ممكن اشتغل و اروح بالاتجاه لكن هاي
+
+204
+00:16:21,190 --> 00:16:24,590
+اسهل بالنسبالي انا خليني افترض او بدني احضر ال
+
+205
+00:16:24,590 --> 00:16:27,690
+transaction database او ال transaction set ال
+
+206
+00:16:27,690 --> 00:16:30,670
+purchasing transaction set اللي موجود عندي ال
+
+207
+00:16:30,670 --> 00:16:33,830
+purchasing transaction set اللي موجود عندي تحتوي
+
+208
+00:16:33,830 --> 00:16:38,690
+على مجموعة من العناصر الاول ال milk ال bread ال
+
+209
+00:16:38,690 --> 00:16:45,080
+cereal حوال الفطار الشجر وال eggsأو عندي في ال
+
+210
+00:16:45,080 --> 00:16:49,880
+data set تسعة ملي ترانزاكتشن ناخد subset و هي تسعة
+
+211
+00:16:49,880 --> 00:16:55,720
+ملي ترانزاكتشن لأن هذا ال data set بدأ تتحول لعشان
+
+212
+00:16:55,720 --> 00:17:00,740
+أصبح أسهل في الكتابة معاها ممكن أروح أخد الرموز
+
+213
+00:17:00,740 --> 00:17:07,800
+الأولىهذه اول خطوة اقوم بها في ال preparation
+
+214
+00:17:07,800 --> 00:17:11,860
+استبدل الكلمات بالحروف اللي موجودة عندها لأن انت
+
+215
+00:17:11,860 --> 00:17:21,860
+تخيل حيصير في عندي milk كما bread cereal
+
+216
+00:17:23,920 --> 00:17:29,180
+شوية الأمور هتكون كتابتها صعبة خصوصا هذه أسماء
+
+217
+00:17:29,180 --> 00:17:36,120
+بسيطة عشان استوعبها انا لكن والله مثلا
+
+218
+00:17:36,120 --> 00:17:42,060
+بدي اتكلم والله بدي اخد مثلا
+
+219
+00:17:45,250 --> 00:17:52,270
+مثلا frozen jellyfish مثلا او مجمد عفوا فهتصير
+
+220
+00:17:52,270 --> 00:17:57,430
+الكلمة طويلة فانحنا بنحتاج لشغلات اسهل في الكتابة
+
+221
+00:17:57,430 --> 00:18:04,140
+هذه واحدةالشغل التاني يفضل أو لازم يتم تحويل ال
+
+222
+00:18:04,140 --> 00:18:08,120
+database تبعتي ل .. او ال transaction اللي عندي
+
+223
+00:18:08,120 --> 00:18:11,340
+هنا ل binary attributes شو يعني binary attributes؟
+
+224
+00:18:11,340 --> 00:18:14,380
+احنا عدنا هنا انه انا فعليا في عندي واحد اتنين
+
+225
+00:18:14,380 --> 00:18:17,600
+تلاتة اربعة خمسة five elements في ال transactional
+
+226
+00:18:17,600 --> 00:18:22,060
+dataset عشان احولها المعناته هذه بدها تتحول ل ال
+
+227
+00:18:22,060 --> 00:18:25,620
+database او ال transactional dataset مكونة من
+
+228
+00:18:26,930 --> 00:18:34,710
+الخامسة attribute بالاضافة لترانزاكشن ID ABCDE
+
+229
+00:18:34,710 --> 00:18:41,750
+بناء على التسميات اللى موجودة عندى طيب و بصير فى
+
+230
+00:18:41,750 --> 00:18:44,950
+الترانزاكشن اللى موجود عندى هى واحد الترانزاكشن
+
+231
+00:18:44,950 --> 00:18:50,250
+رقم واحد بما انه binary هصير فى عندى هنا واحد هنا
+
+232
+00:18:50,250 --> 00:18:57,930
+واحد هنا صفر هنا صفر هنا واحد الترانزاكشن التانى0
+
+233
+00:18:57,930 --> 00:19:04,490
+1 0 1 0 يعني إنه هذا فعليا ال element ينتمي إلى
+
+234
+00:19:04,490 --> 00:19:06,910
+transaction و لما يكون الصفر لا ينتمي إلى
+
+235
+00:19:06,910 --> 00:19:11,510
+transaction بنحول
+
+236
+00:19:11,510 --> 00:19:14,730
+ال data set اللي موجودة عندي هنا وبالتالي ال
+
+237
+00:19:14,730 --> 00:19:17,770
+algorithm تبعتي الخاصة بال association rules ممكن
+
+238
+00:19:17,770 --> 00:19:19,410
+تسخل معظم ال algorithm
+
+239
+00:19:25,960 --> 00:19:32,560
+هتحتاج .. عفوا ممكن تستغنى عن القوة اللى موجودة
+
+240
+00:19:32,560 --> 00:19:40,100
+هنا بس فعلا تكون حضارة transactional dataset خليني
+
+241
+00:19:40,100 --> 00:19:44,980
+افترض .. نقول والله انه عشان نفهم ال frequent item
+
+242
+00:19:44,980 --> 00:19:47,900
+set و ال association roles خليني افترض ان في عندي
+
+243
+00:19:47,900 --> 00:19:52,040
+dataset اللى هي موضوع الدراسة تبعتي مكونة من
+
+244
+00:19:52,040 --> 00:19:54,840
+transactional dataset
+
+245
+00:19:55,880 --> 00:20:05,020
+الـ I هي عبارة عن M items data set تحتوي على M من
+
+246
+00:20:05,020 --> 00:20:09,200
+العناصر وهذه العناصر الموجودة في ال transactions
+
+247
+00:20:09,200 --> 00:20:13,700
+اللي عندي يعني انا في عندي elements او items M
+
+248
+00:20:13,700 --> 00:20:18,880
+items وبالتالي انا بقى اتكلم ان ال data set تبعتي
+
+249
+00:20:18,880 --> 00:20:21,980
+مكونة او ال transaction كل transaction تبعتي
+
+250
+00:20:21,980 --> 00:20:25,650
+هتشتغل ضمن ال M transactionالـ association rule هو
+
+251
+00:20:25,650 --> 00:20:29,850
+عبارة عن implication in
+
+252
+00:20:29,850 --> 00:20:37,210
+the form a implies b بحيث أن ال a و ال b هي عبارة
+
+253
+00:20:37,210 --> 00:20:41,870
+عن item set subset من ال I لازم تكون من العناصر
+
+254
+00:20:41,870 --> 00:20:45,070
+اللي موجودة عندي هنا و زي ما قلنا أقلها one
+
+255
+00:20:45,070 --> 00:20:46,910
+element and
+
+256
+00:20:50,230 --> 00:20:54,610
+أيه تقاطع بيكوال فاي يعني بين اللي احنا بنقول عنه
+
+257
+00:20:54,610 --> 00:20:58,130
+independent انه مافيش بينهم علاقة ما بين العنصرين
+
+258
+00:20:58,130 --> 00:21:02,310
+هدول او ما بين ال item set اللي موجودة ده الآن ال
+
+259
+00:21:02,310 --> 00:21:07,290
+association rule هذا اللي موجود في ال transaction
+
+260
+00:21:07,290 --> 00:21:12,090
+فيله support فيقله ال relative support قلنا ال
+
+261
+00:21:12,090 --> 00:21:18,640
+relative support هي عبارة عن ال percentageتبعت ال
+
+262
+00:21:18,640 --> 00:21:23,100
+اكيراس الاسوشيشن رول على الترانزكتشن اللي موجودة
+
+263
+00:21:23,100 --> 00:21:26,940
+عملي ال
+
+264
+00:21:26,940 --> 00:21:30,620
+relative
+
+265
+00:21:30,620 --> 00:21:39,400
+support where is where is ال percentage
+
+266
+00:21:39,400 --> 00:21:44,220
+of a transaction دي that contain ا اتحاد اب تحتوي
+
+267
+00:21:44,220 --> 00:21:49,080
+ال a و اتحاد بيعني عدد مرات ظهور ال a و ال b مع
+
+268
+00:21:49,080 --> 00:21:53,520
+بعضهم يعني لو انا بدي اقرأ بس عشان تكون الصورة
+
+269
+00:21:53,520 --> 00:21:58,500
+واضحة شويها في حالة ال exam بتتكلم على ال support
+
+270
+00:21:58,500 --> 00:22:09,400
+خليني اجي اقول ان والله ال a بدها تساوي milk و
+
+271
+00:22:09,400 --> 00:22:13,280
+cereal و ال b equal
+
+272
+00:22:17,190 --> 00:22:23,450
+milk و sugar وجد
+
+273
+00:22:23,450 --> 00:22:29,650
+قولت ان في عندى a implies b as association rule و
+
+274
+00:22:29,650 --> 00:22:34,890
+بدى احسب ال support هان
+
+275
+00:22:34,890 --> 00:22:41,270
+مباشرة بدى اروح اخد ال elements اتحاد ال b ليش ال
+
+276
+00:22:41,270 --> 00:22:44,490
+items اللى موجودة عندى milk
+
+277
+00:22:47,940 --> 00:22:58,180
+و bread عفوا و cereal و sugar مظبوط الان روح نعد
+
+278
+00:22:58,180 --> 00:23:04,640
+ال elements هذول و الموجودات مع بعض موجودات مع بعض
+
+279
+00:23:04,640 --> 00:23:13,280
+هي هم هان ولا مرة zero طبعا اشتغلت بشكل عشوائي
+
+280
+00:23:13,280 --> 00:23:16,620
+خلينا نقول ال milk و ال bread
+
+281
+00:23:20,920 --> 00:23:28,740
+milk lies bread association with bread هروح اخد ال
+
+282
+00:23:28,740 --> 00:23:32,880
+two elements هدول milk و bread هي واحد milk و
+
+283
+00:23:32,880 --> 00:23:37,080
+bread هي اتنين milk و bread هي تلاتة milk و bread
+
+284
+00:23:37,080 --> 00:23:42,040
+هي اربعة معناته اربعة على تسعة بينما كان في الأول
+
+285
+00:23:42,040 --> 00:23:47,060
+zero على تسعة يعني انا دائما بدي اخداشبدي أخد ال
+
+286
+00:23:47,060 --> 00:23:50,240
+relative support بناء على أعداد ال elements اللي
+
+287
+00:23:50,240 --> 00:23:56,340
+موجودة هنا عشان هيك دائما بنلاقي انه ال
+
+288
+00:23:56,340 --> 00:24:02,560
+probability
+
+289
+00:24:02,560 --> 00:24:08,520
+للاتحاد عدد بقى مرات ظهورهم وهذا هو اللي بنسميه ال
+
+290
+00:24:08,520 --> 00:24:13,640
+relative support ال relative support اللي بنرمزله
+
+291
+00:24:13,640 --> 00:24:14,760
+بال S
+
+292
+00:24:17,420 --> 00:24:20,720
+الان في الميجارمنت التاني للـ association rule
+
+293
+00:24:20,720 --> 00:24:25,180
+اللي عندي احنا بسميها ال confidence الثقة او
+
+294
+00:24:25,180 --> 00:24:30,860
+الموطوقية الوطوق
+
+295
+00:24:30,860 --> 00:24:34,060
+ال confidence هي عبارة عن percentage of a
+
+296
+00:24:34,060 --> 00:24:36,620
+transaction containing a
+
+297
+00:24:39,850 --> 00:24:44,750
+Also containing being يعني هي عبارة عن يعني هي
+
+298
+00:24:44,750 --> 00:24:48,770
+فعليا جداش انا و اثر اذا كان هو ما انا في الأول
+
+299
+00:24:48,770 --> 00:24:53,030
+قلت support وظهور التنين مع بعض a و ال b as union
+
+300
+00:24:53,030 --> 00:25:03,480
+بينما الآن انا بتكلم على ال probabilityA-B-A وكأنه
+
+301
+00:25:03,480 --> 00:25:08,000
+الـ confidence تبعت ال transaction او ال
+
+302
+00:25:08,000 --> 00:25:12,300
+association rule A implies B equal support على ال
+
+303
+00:25:12,300 --> 00:25:17,140
+support هان طبعاً هان يتساوى ال probability لل A
+
+304
+00:25:17,140 --> 00:25:26,180
+اتحاد AB على ال probability لحالها
+
+305
+00:25:26,180 --> 00:25:27,360
+تمام
+
+306
+00:25:30,700 --> 00:25:35,240
+يعني هي كده انا بقى قول عدد لترانزاكشن اللى بتحتوي
+
+307
+00:25:35,240 --> 00:25:44,320
+على ال B over او على عدد لترانزاكشن اللى بتحتوي
+
+308
+00:25:44,320 --> 00:25:48,340
+على ال A فوق اللى بتحتوي على A وB من عدد
+
+309
+00:25:48,340 --> 00:25:54,400
+الترانزاكشن اللى بتحتوي على ال B ال association
+
+310
+00:25:54,400 --> 00:25:59,150
+rules كذلكلازم اتحدد دائما لما انا بدى اتعامل
+
+311
+00:25:59,150 --> 00:26:02,190
+معاها لازم يكون في عندي زى ما قولنا minimum
+
+312
+00:26:02,190 --> 00:26:08,690
+support ثريشولد و minimum confidence عشان اجي اقدر
+
+313
+00:26:08,690 --> 00:26:12,130
+اقول ان والله هذا ال role تبعى هو عبارة عن strong
+
+314
+00:26:12,130 --> 00:26:15,890
+role ان ال role اللى عندى هان هو عبارة عن strong
+
+315
+00:26:15,890 --> 00:26:16,230
+role
+
+316
+00:26:20,490 --> 00:26:24,590
+الـ support و ال confidence value دائماً بما أنهم
+
+317
+00:26:24,590 --> 00:26:29,210
+عبارة عن قيم و أنا بتكلم عن نسب فهي من صفر إلى
+
+318
+00:26:29,210 --> 00:26:33,290
+مائة في المائة القيم تبعتهم و دائما ال domain
+
+319
+00:26:33,290 --> 00:26:36,330
+expert زي ما قلت هو اللي بيحدد ال minimum support
+
+320
+00:26:36,330 --> 00:26:39,210
+و ال minimum confidence
+
+321
+00:26:43,070 --> 00:26:46,390
+The occurrence frequency of an item set is the
+
+322
+00:26:46,390 --> 00:26:51,290
+number of transactions that contains an item set
+
+323
+00:26:51,290 --> 00:26:54,890
+هل
+
+324
+00:26:54,890 --> 00:27:02,890
+أنا دائما مقيد ان اشتغل بالـ Relative Support؟ اذا
+
+325
+00:27:02,890 --> 00:27:11,770
+كانت عندى هي عبارة عن Probability للـ A اتحاد الـ
+
+326
+00:27:11,770 --> 00:27:20,260
+Bهذه عبارة عن عدد او ظهور الـ a و ال b مع بعضهم
+
+327
+00:27:20,260 --> 00:27:26,280
+على ال cardinality على ال data set اللي موجودة على
+
+328
+00:27:26,280 --> 00:27:29,860
+عدد عناصر ال data set وهذا دائما constant تابت
+
+329
+00:27:29,860 --> 00:27:35,080
+فممكن
+
+330
+00:27:35,080 --> 00:27:49,720
+انا استغني عنهإذا كانت
+
+331
+00:27:49,720 --> 00:27:54,520
+الـ item set اللي عندي تجاوزت
+
+332
+00:27:55,850 --> 00:28:00,510
+تمام ال threshold اللي موجود معناته هي frequent
+
+333
+00:28:00,510 --> 00:28:04,630
+item set وبالتالي ال support ل ال I يجب أن يكون
+
+334
+00:28:04,630 --> 00:28:09,050
+أكبر أو يساوي ال theta اللي هي ال minimum support
+
+335
+00:28:09,050 --> 00:28:14,730
+او ال threshold اللي موجود عندها فخليني بعدين اعدل
+
+336
+00:28:14,730 --> 00:28:19,250
+على السريع ال animation اللي موجودة مخليها مافي
+
+337
+00:28:19,250 --> 00:28:25,380
+مشكلة يعني بس المفروض انلو انا قلت احسب ال support
+
+338
+00:28:25,380 --> 00:28:29,660
+لـ A implies B على ال data set اللي موجودة عندها
+
+339
+00:28:29,660 --> 00:28:33,040
+تقولنا ال support هو عبارة عن probability لل union
+
+340
+00:28:33,040 --> 00:28:37,000
+يعني ان انا بدي اعد عد المرات اللي ظهرت A وB مع
+
+341
+00:28:37,000 --> 00:28:48,860
+بعض هي واحد اتنين تلاتة اربعة وبالتالي اربعة على
+
+342
+00:28:48,860 --> 00:28:50,180
+تسعة
+
+343
+00:28:52,200 --> 00:28:58,520
+تمام طيب لو انا بدي ال confidence الان ال
+
+344
+00:28:58,520 --> 00:29:04,880
+confidence لل
+
+345
+00:29:04,880 --> 00:29:11,540
+a implies b شو بده تساوي ال confidence هي عبارة عن
+
+346
+00:29:11,540 --> 00:29:17,040
+ال support لل a على ال implies b زي ما قلنا ال
+
+347
+00:29:17,040 --> 00:29:20,640
+support لل a implies ال b على
+
+348
+00:29:27,870 --> 00:29:38,700
+أربعة على تسعة على1 2 3 4 5 6 ال support تبع ال a
+
+349
+00:29:38,700 --> 00:29:45,540
+6 على 9 9 مع التسعة بتروح تصير في عندي 4 على 6
+
+350
+00:29:45,540 --> 00:29:49,960
+عشان هي كده ممكن انا استغني عن ال elements اللي
+
+351
+00:29:49,960 --> 00:29:58,620
+موجودة عندها بشكل مباشر كمان
+
+352
+00:29:58,620 --> 00:30:15,480
+مثالالسبورت تبع ال A B implies C اتحادهم
+
+353
+00:30:15,480 --> 00:30:23,840
+يعني التلاتة مع بعض ABC واحدة تنتين تمام هو متساوى
+
+354
+00:30:23,840 --> 00:30:31,150
+اتنين على تسعةالـ confidence لل A B implies C
+
+355
+00:30:31,150 --> 00:30:41,350
+يساوي ال support اللي فوق اتنين على A و B مع بعضهم
+
+356
+00:30:41,350 --> 00:30:53,850
+واحد اتنين تلاتة اربعة على اربعة بتساوي نص عفوا
+
+357
+00:31:01,760 --> 00:31:07,840
+الـ important concept عندي هان every subset من ال
+
+358
+00:31:07,840 --> 00:31:12,540
+frequent set is a frequent أي مجموعة جزئية من ال
+
+359
+00:31:12,540 --> 00:31:16,280
+frequent set معناته هي frequent لو انا اجيت قولت
+
+360
+00:31:16,280 --> 00:31:20,860
+والله ان في عندي انا مجموعة a وb وc
+
+361
+00:31:23,130 --> 00:31:27,870
+عبارة عن frequent set عبارة عن frequent set يعني
+
+362
+00:31:27,870 --> 00:31:31,330
+ال minimum support تجاوزت ال threshold و ال
+
+363
+00:31:31,330 --> 00:31:35,650
+minimum confidence طبعا ال frequent يعني اننا
+
+364
+00:31:35,650 --> 00:31:40,410
+بنتكلم عن ال support تجاوزت ال support تجاوزت ال
+
+365
+00:31:40,410 --> 00:31:44,750
+threshold اللي موجود عندها معناته اي subset منها
+
+366
+00:31:44,750 --> 00:31:49,570
+هي عبارة عن frequent هدولة كلهم subset
+
+367
+00:31:54,110 --> 00:31:58,890
+A و C عبارة عن subset بي و سي عبارة عن subset فهي
+
+368
+00:31:58,890 --> 00:32:03,890
+انا في عندها طيب لو انا بدي اذكركم بالرياضيات
+
+369
+00:32:03,890 --> 00:32:08,270
+المنفصلة كمان مرة في شغلة مهمة جاية الان يدش عدد
+
+370
+00:32:08,270 --> 00:32:11,470
+المجموعات الجزئية اللى ممكن تكون منها من اي مجموعة
+
+371
+00:32:11,470 --> 00:32:18,450
+الان عدد المجموعات الجزئية من اي مجموعة تمام يساوي
+
+372
+00:32:18,450 --> 00:32:23,620
+اتنين اص ال cardinality للست اللى موجودة عندهاعدد
+
+373
+00:32:23,620 --> 00:32:28,220
+عناصر الـ 6 هنا عندي أنا تلاتة معناته اتنين قصت
+
+374
+00:32:28,220 --> 00:32:33,020
+تلاتة معناته يساوي تمانية تمانية هي واحدة تنتين
+
+375
+00:32:33,020 --> 00:32:37,080
+تلاتة اربعة خمسة ستة ضايت انتين الفاي المجموعة
+
+376
+00:32:37,080 --> 00:32:40,840
+الخالية subset من اي جزئية وكل مجموعة عبارة عن
+
+377
+00:32:40,840 --> 00:32:46,440
+مجموعة جزئية من نفسها وهي تمان مجموعات لو كان عندي
+
+378
+00:32:46,440 --> 00:32:53,530
+رقمين a و b فقط اتنين قصت اتنين معناته اربعةالـ
+
+379
+00:32:53,530 --> 00:32:58,450
+Phi و المجموعة نفسها A و B بالإضافة لكمان مجموعتين
+
+380
+00:32:58,450 --> 00:33:02,690
+الـ A لحال و الـ B لحال هذه بنسميها احنا ال power
+
+381
+00:33:02,690 --> 00:33:08,170
+set ال set of subset ال set contains all subset of
+
+382
+00:33:08,170 --> 00:33:12,450
+C طبعا هنا عشان ما انتهش دائما في عدد العناصر
+
+383
+00:33:12,450 --> 00:33:16,290
+فاحنا دائما بقول every subset of a frequent set is
+
+384
+00:33:16,290 --> 00:33:16,990
+a frequent
+
+385
+00:33:20,930 --> 00:33:23,850
+هذا الكلام اللي سنشرحه سابقاً لو كان في عندي انا
+
+386
+00:33:23,850 --> 00:33:29,290
+ال a b is frequent hence the occurrence of a و b
+
+387
+00:33:29,290 --> 00:33:34,410
+include both a و b و تقريبا جماعة الخير كل ال
+
+388
+00:33:34,410 --> 00:33:37,870
+algorithms اللي خاصة بال association rules بنيت
+
+389
+00:33:37,870 --> 00:33:44,480
+على هذه الخاصيةأنا دائما أبحث عن الـ Frequent Set
+
+390
+00:33:44,480 --> 00:33:47,940
+و كل العناصر اللي فيها هي عبارة عن Frequent
+
+391
+00:33:47,940 --> 00:33:55,160
+Finding Association Rules يعتمد على شغلتين الشغل
+
+392
+00:33:55,160 --> 00:34:02,980
+الأولى أنه يحدد كل Frequent Item Setطبعاً لتكون ال
+
+393
+00:34:02,980 --> 00:34:05,260
+frequency تبعتها أكبر من ال threshold أكبر أو
+
+394
+00:34:05,260 --> 00:34:09,020
+تساوي و بعدين بروح بيعمل generation ل strong
+
+395
+00:34:09,020 --> 00:34:14,300
+association rule الان frequent معناته هي أكبر من
+
+396
+00:34:14,300 --> 00:34:18,120
+ال minimum support ال support تبعتها أكبر من ال
+
+397
+00:34:18,120 --> 00:34:22,810
+minimum support اللي هي سمنها ال thetaالـ Strong
+
+398
+00:34:22,810 --> 00:34:26,110
+Association Rule هي عبارة عن أن الـ support تبعتها
+
+399
+00:34:26,110 --> 00:34:29,990
+أكبر من الـ minimum support هي من هنا تمام و ال
+
+400
+00:34:29,990 --> 00:34:32,750
+confidence تبعتها أكبر من ال minimum confidence
+
+401
+00:34:32,750 --> 00:34:41,590
+condition اللي موجودة عندها الأبريوري
+
+402
+00:34:41,590 --> 00:34:45,950
+هو عبارة عن الأشهر algorithm موجود مع ال
+
+403
+00:34:45,950 --> 00:34:49,390
+association rules حنتكلم فيه الأن ان شاء الله
+
+404
+00:34:49,390 --> 00:34:50,190
+تبارك وتعالى
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..477c352079a3549173addfbe201b952fcd465fc5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dTOEQghcXrk_raw.srt
@@ -0,0 +1,1616 @@
+1
+00:00:04,820 --> 00:00:07,080
+بسم الله والحمد لله و الصلاة والسلام على رسول الله
+
+2
+00:00:07,080 --> 00:00:11,660
+أهلا و أهلا بكم في لقاء جديد مساء قلب البيانات و
+
+3
+00:00:11,660 --> 00:00:14,840
+هنتكلم ان شاء الله تعالى عن اليوم عن ال frequent
+
+4
+00:00:14,840 --> 00:00:18,960
+pattern و ال association rulesطبعاً بما أننا
+
+5
+00:00:18,960 --> 00:00:22,980
+اتفقنا سابقاً ان ال .. ال .. ال modeling task
+
+6
+00:00:22,980 --> 00:00:26,080
+تبعاتنا ال predictive modeling task تنقسم إلى
+
+7
+00:00:26,080 --> 00:00:30,620
+predictive و descriptive اتكلمنا في ال predictive
+
+8
+00:00:30,620 --> 00:00:35,640
+اتكلمنا عن ال classification و ال regression اول
+
+9
+00:00:35,640 --> 00:00:38,800
+اتكلمها ان اتكلمنا عن ال clustering as descriptive
+
+10
+00:00:38,800 --> 00:00:41,540
+و اليوم ان شاء الله تعالى هنتكلم عن ال affinity
+
+11
+00:00:41,540 --> 00:00:44,360
+analysis او ما يسمى او ما يعرف بال association
+
+12
+00:00:44,360 --> 00:00:49,720
+rulesأو بالـ co-occurrence بتنفسي
+
+13
+00:00:49,720 --> 00:00:53,080
+هذه الـ outline تبعتنا هنتطرق للمفهوم المفاهيم
+
+14
+00:00:53,080 --> 00:00:57,580
+الأساسية لل association rules أو لل affinity
+
+15
+00:00:57,580 --> 00:01:02,080
+analysis هنتكلم على transaction preparation اللي
+
+16
+00:01:02,080 --> 00:01:05,780
+هي ال data set تبعتي عادة كيف بتم إعدادها ال
+
+17
+00:01:05,780 --> 00:01:08,400
+frequent item set و ال association rules و علاقتهم
+
+18
+00:01:08,400 --> 00:01:11,840
+مع بعض كيف ممكن ندور على ال association rules و
+
+19
+00:01:11,840 --> 00:01:15,490
+نشوفهممع بعض ال algorithm اسمه a priori algorithm
+
+20
+00:01:15,490 --> 00:01:19,450
+وهو اكثر ال algorithm شهرة او استخداما كذلك في ال
+
+21
+00:01:19,450 --> 00:01:23,530
+FB Growth ال algorithm هتكلم عليه هتشوفها ال
+
+22
+00:01:23,530 --> 00:01:28,730
+association و بعد دي هحنعمل بعض ال evaluation لل
+
+23
+00:01:28,730 --> 00:01:31,870
+association rule او نشوف كيف خلال ال show اللي
+
+24
+00:01:31,870 --> 00:01:34,990
+هنشوف كيف احنا بنعمل evaluation لل association
+
+25
+00:01:34,990 --> 00:01:37,890
+rules اللي موجودة عندنا
+
+26
+00:01:40,520 --> 00:01:43,540
+طيب على بركة الله نبدأ بسم الله الرحمن الرحيم ال
+
+27
+00:01:43,540 --> 00:01:47,880
+association rules تصنف علي انها unsupported ..
+
+28
+00:01:47,880 --> 00:01:52,140
+unsupervised عفوا ل .. machine learning او
+
+29
+00:01:52,140 --> 00:01:54,840
+unsupervised learning لأنه انا مافيش عندي label ان
+
+30
+00:01:54,840 --> 00:01:59,300
+اتعامل معاه و عادة انا بدور على ال association
+
+31
+00:01:59,300 --> 00:02:04,580
+rules القوانين الارتباط او حالات الارتباط او ال
+
+32
+00:02:04,580 --> 00:02:09,220
+occurrence أو ال patterns اللي موجودة عنديالـ ..
+
+33
+00:02:09,220 --> 00:02:12,460
+ال .. فعليا الـ finding للـ association أو البحث
+
+34
+00:02:12,460 --> 00:02:14,760
+عن ال association rules يعني أنه أنا بدور على
+
+35
+00:02:14,760 --> 00:02:18,140
+interesting relationship ما بين ال items اللي
+
+36
+00:02:18,140 --> 00:02:22,260
+موجودة عندي في ال data set وبناء على هكذا أنا بقى
+
+37
+00:02:22,260 --> 00:02:26,340
+دور شو علاقة العناصر مع بعضها مع بعضها في داخل ال
+
+38
+00:02:26,340 --> 00:02:29,860
+.. الآن ال data set تبعتي زي ما احنا بنعرفه عبارة
+
+39
+00:02:29,860 --> 00:02:35,600
+عن مجموعة من ال rows identified by columns
+
+40
+00:02:38,760 --> 00:02:41,720
+يعني فعليا انا كل هي عبارة عن مجموعة من ال
+
+41
+00:02:41,720 --> 00:02:45,420
+instances او ال objects وكل object معرف من خلال
+
+42
+00:02:45,420 --> 00:02:50,220
+المجموعة ال attributes او ال columns اللي موجودة
+
+43
+00:02:50,220 --> 00:02:54,200
+من خلالها انا هتبقى ادور في ال data set تبعتي على
+
+44
+00:02:54,200 --> 00:02:58,600
+علاقة ال values في ال columns شو علاقتهم مع بعض هل
+
+45
+00:02:58,600 --> 00:03:03,120
+هدول التلاتة بيظهروا دائما ضمن rule معين ضمن قانون
+
+46
+00:03:03,120 --> 00:03:06,710
+معين ضمن pattern معين اللي بيحكمهم ولا لأوبناء
+
+47
+00:03:06,710 --> 00:03:12,000
+عليه أنا بصير أدور على ارتباط العناصر مع بعضهمfind
+
+48
+00:03:12,000 --> 00:03:15,960
+infrequent patterns of occurrence in the dataset
+
+49
+00:03:15,960 --> 00:03:18,960
+items هو نفس المعنى اللي احنا بندور فيه و انا طبعا
+
+50
+00:03:18,960 --> 00:03:21,260
+لما اتكلم على interesting relationship لأن انها
+
+51
+00:03:21,260 --> 00:03:26,340
+معنى بالعلاقة ما بين العناصر هدول عشان انا فعليا
+
+52
+00:03:26,340 --> 00:03:29,220
+اذا ظهروا هدول التنين معناته التالت هذا هيكون
+
+53
+00:03:29,220 --> 00:03:32,660
+مرتبط فيهم و هيكون في عندي role و هذا هتكلم على
+
+54
+00:03:32,660 --> 00:03:36,580
+confidence او support بنسب معينة ان هذا فعليا
+
+55
+00:03:36,580 --> 00:03:40,100
+مرتبط مع العناصرين هدول و دازم اذا هدول ظهروا هذا
+
+56
+00:03:40,100 --> 00:03:43,980
+التالتيظهر طبعا هذا الكلام بيهمني في التنبؤ في
+
+57
+00:03:43,980 --> 00:03:49,760
+موضوع الأمراض ممكن اتكلم في موضوع الأسواق والتجارة
+
+58
+00:03:49,760 --> 00:03:53,860
+إلى آخره frequent patterns is a pattern طبعا هو
+
+59
+00:03:53,860 --> 00:04:03,430
+عبارة عن نمط يظهر بشكل متكرر في ال data setعلى
+
+60
+00:04:03,430 --> 00:04:15,910
+سبيل المثال، خبز والحليب يظهر عامة مع بعض في
+
+61
+00:04:15,910 --> 00:04:19,370
+عملة عامة عامة عامة عامة عامة عامة عامة عامة عامة
+
+62
+00:04:19,370 --> 00:04:22,010
+عامة عامة عامة عامة عامة عامة عامة عامة عامة
+
+63
+00:04:26,250 --> 00:04:30,690
+السيريال او ال cornflakes او غيره ممكن يكون الشاي
+
+64
+00:04:30,690 --> 00:04:34,990
+والحليب ممكن يكون الجهوة
+
+65
+00:04:34,990 --> 00:04:41,090
+والمبيض والسكر الاخري ممكن يكون مثلا فقدان حاسة
+
+66
+00:04:41,090 --> 00:04:46,090
+الشم وحاسة التذوق بظهور الكورونا او اللي بعيد عنكم
+
+67
+00:04:46,090 --> 00:04:50,730
+الشهر طبعا او ممكن يكون في عندنا مثلا اذا كان في
+
+68
+00:04:50,730 --> 00:04:54,550
+عندي درجة حرارة تمانية وتلاتين نقول في التشخيص هنا
+
+69
+00:04:55,110 --> 00:05:01,150
+38 درجة او اعلى بالاضافة
+
+70
+00:05:01,150 --> 00:05:08,190
+لكف جي
+
+71
+00:05:08,190 --> 00:05:17,430
+اتش كف جي اتش بالاضافة ل .. ما بعرف ممكن يكون هناك
+
+72
+00:05:17,430 --> 00:05:21,810
+دليل على ان في عندى فيروس معين ظهر عندى
+
+73
+00:05:34,410 --> 00:05:37,230
+بالتالي أنا بدور قاعد على الـ frequent patterns
+
+74
+00:05:37,230 --> 00:05:43,010
+هاي لأنها فعلياً لها شغل مرتب و كويس في موضوع
+
+75
+00:05:43,010 --> 00:05:47,350
+الإرتباطات وهذا اللي زي ما قلنا بيخدمني في كتير من
+
+76
+00:05:47,350 --> 00:05:53,120
+العناصر أو من التطبيقات في الحياةأما الـ
+
+77
+00:05:53,120 --> 00:05:56,180
+association rules learners أو الـ algorithm خاصة
+
+78
+00:05:56,180 --> 00:06:01,400
+بالـ ال association rules بتعتمد على أنها تدور على
+
+79
+00:06:01,400 --> 00:06:06,860
+ال element اللي بتظهر frequently تمام؟ و طبعا
+
+80
+00:06:06,860 --> 00:06:12,340
+consisting of multiple independent selection يعني
+
+81
+00:06:12,340 --> 00:06:19,820
+عادة ال .. لو أنا فترضت أنه مثلا والله أنا بتكلم
+
+82
+00:06:19,820 --> 00:06:20,740
+على الملك
+
+83
+00:06:23,600 --> 00:06:36,420
+في عندى book و عندى luna و عندى xyz هدولة كلياتهم
+
+84
+00:06:36,420 --> 00:06:40,580
+عبارة عن صنف واحد لما انا بتكلم independent
+
+85
+00:06:40,580 --> 00:06:45,240
+element او independent selection او بتكلم والله ال
+
+86
+00:06:45,240 --> 00:06:48,880
+milk و ال bread او ال coffee
+
+87
+00:06:52,170 --> 00:06:55,250
+two independent elements وانا بتدور على ال
+
+88
+00:06:55,250 --> 00:07:00,430
+frequency أو ظهورهم بشكل ما بعض بعض وأكتر مثال
+
+89
+00:07:00,430 --> 00:07:04,370
+مشهور في كل الكتب في كل الناس اللي بتتكلم على ال
+
+90
+00:07:04,370 --> 00:07:07,270
+association rules او ال affinity analysis بتلاقي
+
+91
+00:07:07,270 --> 00:07:11,310
+انهم بتتكلموا عن ال purchasing transaction او سلة
+
+92
+00:07:11,310 --> 00:07:15,730
+المشتريات الشغل التاني المهتم فيها ال algorithm
+
+93
+00:07:15,730 --> 00:07:21,280
+discovery rules يعني في الأول انا بدور علىالـ data
+
+94
+00:07:21,280 --> 00:07:27,980
+ال elements اللي occurs frequently بعدين بدور على
+
+95
+00:07:27,980 --> 00:07:31,060
+ان اكتشف ال rules ال rules هذه عبارة عن
+
+96
+00:07:31,060 --> 00:07:31,560
+implication
+
+97
+00:07:39,690 --> 00:07:44,250
+وهذه الـ implication مرتبطة بـ الـ elements اللي
+
+98
+00:07:44,250 --> 00:07:46,990
+أنا شفتها في الخطوة الأولى يعني أنا فعليا في كل ال
+
+99
+00:07:46,990 --> 00:07:50,150
+algorithm خاصة بال association rules أنا بدور على
+
+100
+00:07:50,150 --> 00:07:52,850
+ال frequent element في الأول بعدين بصير بدور على
+
+101
+00:07:52,850 --> 00:07:57,870
+الارتباطات ما بينهم ال implication يؤدي إلىإذا كان
+
+102
+00:07:57,870 --> 00:08:03,290
+في عندي A و B دائما حلاقي انه في حيظهر عندي ال C و
+
+103
+00:08:03,290 --> 00:08:06,410
+هذا طبعا هذا الكلام اللي support و confidence
+
+104
+00:08:06,410 --> 00:08:12,150
+هنتكلم عليه كمان شوية ال association rules عندي
+
+105
+00:08:12,150 --> 00:08:16,670
+هان to answer a question such as if a customer
+
+106
+00:08:16,670 --> 00:08:20,850
+purchase a product A how likely is he or she to
+
+107
+00:08:20,850 --> 00:08:25,110
+purchase a product B يعني إذا هو اشترى A هل هيشتري
+
+108
+00:08:25,110 --> 00:08:31,350
+Bمثلا اذا العرض A اظهر عندى هل العرض B هيظهر اذا
+
+109
+00:08:31,350 --> 00:08:36,490
+كانت الاعراض A وC موجودة عندى مع بعضهم هل ال
+
+110
+00:08:36,490 --> 00:08:40,890
+diagnosis هيكون positive مثلا what the product
+
+111
+00:08:40,890 --> 00:08:44,650
+will customer buy if he or she buys a product C
+
+112
+00:08:44,650 --> 00:08:48,170
+and D اذا اشترى هدول ايش ممكن يشتري غيرهم طبعا
+
+113
+00:08:48,170 --> 00:08:52,070
+احنا الآن بنتكلم انه فعليا ال association rules
+
+114
+00:08:52,070 --> 00:08:57,070
+algorithm بيستخدم عشان شغلتين الاولىهي Discovering
+
+115
+00:08:57,070 --> 00:09:03,990
+frequent elements والتانية Discovering rules فحين
+
+116
+00:09:03,990 --> 00:09:10,500
+أن ال association rules بتجاوب بشكل عامأيش؟ طبعا
+
+117
+00:09:10,500 --> 00:09:13,520
+هذه من باب ال motivation لل association rules ال
+
+118
+00:09:13,520 --> 00:09:16,060
+answer .. يمكن .. يمكن مكانها مش .. مش مناسب لل
+
+119
+00:09:16,060 --> 00:09:19,000
+slide هاي صحيح answer a question such as the
+
+120
+00:09:19,000 --> 00:09:24,560
+customer purchased a product ايه او بيجاوب على
+
+121
+00:09:24,560 --> 00:09:29,520
+ارتباط ال elements مع بعضهم من ال motivation اللي
+
+122
+00:09:29,520 --> 00:09:32,540
+انا بتهمني في ال association rules اللي هي finding
+
+123
+00:09:32,540 --> 00:09:37,840
+regularities الشغلات الطبيعية اللي موجودة عندي هان
+
+124
+00:09:39,870 --> 00:09:43,030
+عادية العادية اللي احنا بنشوفها لكن هذا من كتر ما
+
+125
+00:09:43,030 --> 00:09:45,470
+هي عادية احنا مش شايفين الارتباط اللي موجود هنا
+
+126
+00:09:45,470 --> 00:09:49,450
+which products were often purchased together ايش
+
+127
+00:09:49,450 --> 00:09:52,590
+ال products اللي ممكن ينشروا مع بعضهم what are the
+
+128
+00:09:52,590 --> 00:09:55,430
+sequence of purchases after buying a certain
+
+129
+00:09:55,430 --> 00:09:59,670
+productلو اشترت سيارة مثلا ايش ممكن انا اروح اساوي
+
+130
+00:09:59,670 --> 00:10:04,790
+what kind of DNA are sensitive to a new drug طبعا
+
+131
+00:10:04,790 --> 00:10:08,610
+ممكن هذا مفيد جدا المجال هذا طبعا فهو مجال اقتصادي
+
+132
+00:10:08,610 --> 00:10:12,480
+وهذا هو اكثر تقنية للشغلWhat can automatically
+
+133
+00:10:12,480 --> 00:10:16,220
+classify؟ Can we automatically classify a web
+
+134
+00:10:16,220 --> 00:10:20,920
+document؟ بناء على ظهور الكلمات المعينة أو ما شاء
+
+135
+00:10:20,920 --> 00:10:23,760
+ال application طبعا تتكلم عن ال basket data
+
+136
+00:10:23,760 --> 00:10:28,400
+analysis ال cross marketing ال catalog design ال
+
+137
+00:10:28,400 --> 00:10:31,940
+sale camping الدعاية نتكلم على ال web blog
+
+138
+00:10:31,940 --> 00:10:34,920
+analysis نتكلم على ال DNA analysis
+
+139
+00:10:43,630 --> 00:10:46,350
+الـ item الان في بعض التعريفات اللي بدنا نشوفها ال
+
+140
+00:10:46,350 --> 00:10:50,730
+item is an object ال data set اللي موجود عندي أو
+
+141
+00:10:50,730 --> 00:10:54,470
+بنجو سيني زي ما قلنا سابقا اللي هي attribute value
+
+142
+00:10:54,470 --> 00:11:03,970
+ال data science book او الملك transaction items
+
+143
+00:11:03,970 --> 00:11:10,140
+purchased in basket مع بعضهمهي الـ element أو الـ
+
+144
+00:11:10,140 --> 00:11:14,740
+values اللي اتشكلت عندي فعليا ال attributes تبعت
+
+145
+00:11:14,740 --> 00:11:18,700
+ال data set اللي موجودة and it may has a
+
+146
+00:11:18,700 --> 00:11:21,400
+transaction ID طبعا انا بتكلم في المبيعات ممكن
+
+147
+00:11:21,400 --> 00:11:25,720
+يكون في عندي انا transaction ID موجود لكل عملية
+
+148
+00:11:25,720 --> 00:11:28,720
+تبيع بالاضافة للتاريخ او وقت البيع اللي موجود
+
+149
+00:11:28,720 --> 00:11:33,420
+عندها لترزق ل transaction ال data set is a set or
+
+150
+00:11:33,420 --> 00:11:38,410
+is a transactionبالمثال اللي عندي الان ال
+
+151
+00:11:38,410 --> 00:11:43,770
+transaction واحد هي ال ID واحد بيحتوي على تلت
+
+152
+00:11:43,770 --> 00:11:50,430
+عناصر milk و bread و eggs ال transaction سبعة هي
+
+153
+00:11:50,430 --> 00:11:55,570
+بيحتوي على milk و حبوب الإفطار
+
+154
+00:12:01,440 --> 00:12:07,320
+كل ال data set هاي بنسميها transactional data set
+
+155
+00:12:07,320 --> 00:12:14,680
+الان في عندي ال item set is a set of one or more
+
+156
+00:12:14,680 --> 00:12:17,460
+items طبعا كلنا بنتذكر يا جماعة الخير احنا درسنا
+
+157
+00:12:17,460 --> 00:12:20,800
+في ال baccalaureate ال discrete mathematics و
+
+158
+00:12:20,800 --> 00:12:25,500
+اتكلمنا عن المجموعات اتكلمنا ان انا والله اقل
+
+159
+00:12:25,500 --> 00:12:31,440
+مجموعة بيكون فيها one elementلو لم يكن فيها مثلًا
+
+160
+00:12:31,440 --> 00:12:44,100
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+161
+00:12:44,100 --> 00:12:45,760
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+162
+00:12:45,760 --> 00:12:49,780
+مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا
+
+163
+00:12:49,780 --> 00:12:52,880
+مثلًا
+
+164
+00:12:52,880 --> 00:12:55,400
+مثلًا
+
+165
+00:12:56,050 --> 00:12:59,790
+الـ K item set معناته هي عبارة عن مجموعة بتحتوي
+
+166
+00:12:59,790 --> 00:13:05,370
+على K من ال items يعني لما قلت انا ال three item
+
+167
+00:13:05,370 --> 00:13:08,610
+set معناته انا بتكلم على مجموعة مكونة من تلت عناصر
+
+168
+00:13:08,610 --> 00:13:14,330
+four item set four item set عفوا ال set of four
+
+169
+00:13:14,330 --> 00:13:20,820
+items و هكذاالان في عندي مصطلح مهم بالنسبة لأقلنا
+
+170
+00:13:20,820 --> 00:13:23,240
+من ال basic concept لل association rules أو ال
+
+171
+00:13:23,240 --> 00:13:26,340
+affinity analysis اللي هو support وهنا بنقصد فيه
+
+172
+00:13:26,340 --> 00:13:32,220
+ال absolute support ال frequency أو ال occurrence
+
+173
+00:13:32,220 --> 00:13:41,260
+of item set X لما انا بقول support لتبع ال X بتكلم
+
+174
+00:13:41,260 --> 00:13:47,930
+على عدد مرات ظهور ال X support countكذلك في عندى
+
+175
+00:13:47,930 --> 00:13:54,390
+مصطلح اسمه relative support relative support it's
+
+176
+00:13:54,390 --> 00:13:57,350
+a fraction لما اتكلم على fraction معناته عبارة عن
+
+177
+00:13:57,350 --> 00:14:02,510
+قيمة او نسبة تمام of the transaction that contains
+
+178
+00:14:02,510 --> 00:14:07,290
+X عدد
+
+179
+00:14:07,290 --> 00:14:12,890
+مرات ظهور ال X تمام على ال cardinality تبع ال data
+
+180
+00:14:12,890 --> 00:14:17,470
+set اللى موجودة عندىThe probability that the
+
+181
+00:14:17,470 --> 00:14:21,150
+transaction contains X احتمال ان ال X موجود جداش
+
+182
+00:14:21,150 --> 00:14:26,630
+نسبة ظهوره تمام فهنا متكلم على انه عدد مرات ظهور
+
+183
+00:14:26,630 --> 00:14:33,990
+ال X على ال cardinality او عدد عناصر ال data set
+
+184
+00:14:33,990 --> 00:14:35,930
+اللي موجودة عندى
+
+185
+00:14:41,750 --> 00:14:51,590
+An item set x is a frequent if x support is not
+
+186
+00:14:51,590 --> 00:14:54,570
+less than the minimum support threshold
+
+187
+00:15:02,020 --> 00:15:06,440
+الـ Frequency أو الـ Frequent Item Set يعني أنا مش
+
+188
+00:15:06,440 --> 00:15:11,580
+هقول ان هذا شائع الظهور او كثير الظهور الا لو حقق
+
+189
+00:15:11,580 --> 00:15:14,920
+نسبة معينة مثلا اقول و الله عدد مرات الظهور و عشرة
+
+190
+00:15:16,990 --> 00:15:19,410
+أقل شيء ال minimum عشر أو فوق معناته بيصير
+
+191
+00:15:19,410 --> 00:15:24,610
+frequent متداول أو مشهور أو معروف أو كثير الظهور
+
+192
+00:15:24,610 --> 00:15:28,110
+تمام لكن أقل من عشرة لأ طب مين اللي بيحط ال
+
+193
+00:15:28,110 --> 00:15:31,430
+minimum support عادة ال expert في ال domain هذا هو
+
+194
+00:15:31,430 --> 00:15:37,240
+اللي بيحدد المجال اللي موجود أو يعنيعندما أتكلم عن
+
+195
+00:15:37,240 --> 00:15:40,960
+الـ Transaction Set أو الـ Transactional Data Set
+
+196
+00:15:40,960 --> 00:15:44,540
+عادةً ال Transactional Data Set بالشكل هذا لو أنا
+
+197
+00:15:44,540 --> 00:15:51,020
+بدأ أخد على تبع الـ Salary أو عفوا Sales
+
+198
+00:15:51,020 --> 00:15:57,640
+Transaction Set أو سلة المشتريات Basket Sales أو
+
+199
+00:15:57,640 --> 00:16:01,290
+Purchasing Basketفعلياً هي أسهل حاجة ممكن انا
+
+200
+00:16:01,290 --> 00:16:06,030
+اتعامل فيها و اروح باتجاهها عشان استوعب مفهوم الـ
+
+201
+00:16:06,030 --> 00:16:09,810
+Affinity Analysis لكن ممكن لو كان في عندي مجال ان
+
+202
+00:16:09,810 --> 00:16:14,770
+انا استوعب الـ DNA والارتباط ال genes اللي فيها
+
+203
+00:16:17,370 --> 00:16:21,190
+عفوا معناته انا ممكن اشتغل و اروح بالاتجاه لكن هاي
+
+204
+00:16:21,190 --> 00:16:24,590
+اسهل بالنسبالي انا خليني افترض او بدني احضر ال
+
+205
+00:16:24,590 --> 00:16:27,690
+transaction database او ال transaction set ال
+
+206
+00:16:27,690 --> 00:16:30,670
+purchasing transaction set اللي موجود عندي ال
+
+207
+00:16:30,670 --> 00:16:33,830
+purchasing transaction set اللي موجود عندي تحتوي
+
+208
+00:16:33,830 --> 00:16:38,690
+على مجموعة من العناصر الاول ال milk ال bread ال
+
+209
+00:16:38,690 --> 00:16:45,080
+cereal حوال الفطار الشجر وال eggsأو عندي في ال
+
+210
+00:16:45,080 --> 00:16:49,880
+data set تسعة ملي ترانزاكتشن ناخد subset و هي تسعة
+
+211
+00:16:49,880 --> 00:16:55,720
+ملي ترانزاكتشن لأن هذا ال data set بدأ تتحول لعشان
+
+212
+00:16:55,720 --> 00:17:00,740
+أصبح أسهل في الكتابة معاها ممكن أروح أخد الرموز
+
+213
+00:17:00,740 --> 00:17:07,800
+الأولىهذه اول خطوة اقوم بها في ال preparation
+
+214
+00:17:07,800 --> 00:17:11,860
+استبدل الكلمات بالحروف اللي موجودة عندها لأن انت
+
+215
+00:17:11,860 --> 00:17:21,860
+تخيل حيصير في عندي milk كما bread cereal
+
+216
+00:17:23,920 --> 00:17:29,180
+شوية الأمور هتكون كتابتها صعبة خصوصا هذه أسماء
+
+217
+00:17:29,180 --> 00:17:36,120
+بسيطة عشان استوعبها انا لكن والله مثلا
+
+218
+00:17:36,120 --> 00:17:42,060
+بدي اتكلم والله بدي اخد مثلا
+
+219
+00:17:45,250 --> 00:17:52,270
+مثلا frozen jellyfish مثلا او مجمد عفوا فهتصير
+
+220
+00:17:52,270 --> 00:17:57,430
+الكلمة طويلة فانحنا بنحتاج لشغلات اسهل في الكتابة
+
+221
+00:17:57,430 --> 00:18:04,140
+هذه واحدةالشغل التاني يفضل أو لازم يتم تحويل ال
+
+222
+00:18:04,140 --> 00:18:08,120
+database تبعتي ل .. او ال transaction اللي عندي
+
+223
+00:18:08,120 --> 00:18:11,340
+هنا ل binary attributes شو يعني binary attributes؟
+
+224
+00:18:11,340 --> 00:18:14,380
+احنا عدنا هنا انه انا فعليا في عندي واحد اتنين
+
+225
+00:18:14,380 --> 00:18:17,600
+تلاتة اربعة خمسة five elements في ال transactional
+
+226
+00:18:17,600 --> 00:18:22,060
+dataset عشان احولها المعناته هذه بدها تتحول ل ال
+
+227
+00:18:22,060 --> 00:18:25,620
+database او ال transactional dataset مكونة من
+
+228
+00:18:26,930 --> 00:18:34,710
+الخامسة attribute بالاضافة لترانزاكشن ID ABCDE
+
+229
+00:18:34,710 --> 00:18:41,750
+بناء على التسميات اللى موجودة عندى طيب و بصير فى
+
+230
+00:18:41,750 --> 00:18:44,950
+الترانزاكشن اللى موجود عندى هى واحد الترانزاكشن
+
+231
+00:18:44,950 --> 00:18:50,250
+رقم واحد بما انه binary هصير فى عندى هنا واحد هنا
+
+232
+00:18:50,250 --> 00:18:57,930
+واحد هنا صفر هنا صفر هنا واحد الترانزاكشن التانى0
+
+233
+00:18:57,930 --> 00:19:04,490
+1 0 1 0 يعني إنه هذا فعليا ال element ينتمي إلى
+
+234
+00:19:04,490 --> 00:19:06,910
+transaction و لما يكون الصفر لا ينتمي إلى
+
+235
+00:19:06,910 --> 00:19:11,510
+transaction بنحول
+
+236
+00:19:11,510 --> 00:19:14,730
+ال data set اللي موجودة عندي هنا وبالتالي ال
+
+237
+00:19:14,730 --> 00:19:17,770
+algorithm تبعتي الخاصة بال association rules ممكن
+
+238
+00:19:17,770 --> 00:19:19,410
+تسخل معظم ال algorithm
+
+239
+00:19:25,960 --> 00:19:32,560
+هتحتاج .. عفوا ممكن تستغنى عن القوة اللى موجودة
+
+240
+00:19:32,560 --> 00:19:40,100
+هنا بس فعلا تكون حضارة transactional dataset خليني
+
+241
+00:19:40,100 --> 00:19:44,980
+افترض .. نقول والله انه عشان نفهم ال frequent item
+
+242
+00:19:44,980 --> 00:19:47,900
+set و ال association roles خليني افترض ان في عندي
+
+243
+00:19:47,900 --> 00:19:52,040
+dataset اللى هي موضوع الدراسة تبعتي مكونة من
+
+244
+00:19:52,040 --> 00:19:54,840
+transactional dataset
+
+245
+00:19:55,880 --> 00:20:05,020
+الـ I هي عبارة عن M items data set تحتوي على M من
+
+246
+00:20:05,020 --> 00:20:09,200
+العناصر وهذه العناصر الموجودة في ال transactions
+
+247
+00:20:09,200 --> 00:20:13,700
+اللي عندي يعني انا في عندي elements او items M
+
+248
+00:20:13,700 --> 00:20:18,880
+items وبالتالي انا بقى اتكلم ان ال data set تبعتي
+
+249
+00:20:18,880 --> 00:20:21,980
+مكونة او ال transaction كل transaction تبعتي
+
+250
+00:20:21,980 --> 00:20:25,650
+هتشتغل ضمن ال M transactionالـ association rule هو
+
+251
+00:20:25,650 --> 00:20:29,850
+عبارة عن implication in
+
+252
+00:20:29,850 --> 00:20:37,210
+the form a implies b بحيث أن ال a و ال b هي عبارة
+
+253
+00:20:37,210 --> 00:20:41,870
+عن item set subset من ال I لازم تكون من العناصر
+
+254
+00:20:41,870 --> 00:20:45,070
+اللي موجودة عندي هنا و زي ما قلنا أقلها one
+
+255
+00:20:45,070 --> 00:20:46,910
+element and
+
+256
+00:20:50,230 --> 00:20:54,610
+أيه تقاطع بيكوال فاي يعني بين اللي احنا بنقول عنه
+
+257
+00:20:54,610 --> 00:20:58,130
+independent انه مافيش بينهم علاقة ما بين العنصرين
+
+258
+00:20:58,130 --> 00:21:02,310
+هدول او ما بين ال item set اللي موجودة ده الآن ال
+
+259
+00:21:02,310 --> 00:21:07,290
+association rule هذا اللي موجود في ال transaction
+
+260
+00:21:07,290 --> 00:21:12,090
+فيله support فيقله ال relative support قلنا ال
+
+261
+00:21:12,090 --> 00:21:18,640
+relative support هي عبارة عن ال percentageتبعت ال
+
+262
+00:21:18,640 --> 00:21:23,100
+اكيراس الاسوشيشن رول على الترانزكتشن اللي موجودة
+
+263
+00:21:23,100 --> 00:21:26,940
+عملي ال
+
+264
+00:21:26,940 --> 00:21:30,620
+relative
+
+265
+00:21:30,620 --> 00:21:39,400
+support where is where is ال percentage
+
+266
+00:21:39,400 --> 00:21:44,220
+of a transaction دي that contain ا اتحاد اب تحتوي
+
+267
+00:21:44,220 --> 00:21:49,080
+ال a و اتحاد بيعني عدد مرات ظهور ال a و ال b مع
+
+268
+00:21:49,080 --> 00:21:53,520
+بعضهم يعني لو انا بدي اقرأ بس عشان تكون الصورة
+
+269
+00:21:53,520 --> 00:21:58,500
+واضحة شويها في حالة ال exam بتتكلم على ال support
+
+270
+00:21:58,500 --> 00:22:09,400
+خليني اجي اقول ان والله ال a بدها تساوي milk و
+
+271
+00:22:09,400 --> 00:22:13,280
+cereal و ال b equal
+
+272
+00:22:17,190 --> 00:22:23,450
+milk و sugar وجد
+
+273
+00:22:23,450 --> 00:22:29,650
+قولت ان في عندى a implies b as association rule و
+
+274
+00:22:29,650 --> 00:22:34,890
+بدى احسب ال support هان
+
+275
+00:22:34,890 --> 00:22:41,270
+مباشرة بدى اروح اخد ال elements اتحاد ال b ليش ال
+
+276
+00:22:41,270 --> 00:22:44,490
+items اللى موجودة عندى milk
+
+277
+00:22:47,940 --> 00:22:58,180
+و bread عفوا و cereal و sugar مظبوط الان روح نعد
+
+278
+00:22:58,180 --> 00:23:04,640
+ال elements هذول و الموجودات مع بعض موجودات مع بعض
+
+279
+00:23:04,640 --> 00:23:13,280
+هي هم هان ولا مرة zero طبعا اشتغلت بشكل عشوائي
+
+280
+00:23:13,280 --> 00:23:16,620
+خلينا نقول ال milk و ال bread
+
+281
+00:23:20,920 --> 00:23:28,740
+milk lies bread association with bread هروح اخد ال
+
+282
+00:23:28,740 --> 00:23:32,880
+two elements هدول milk و bread هي واحد milk و
+
+283
+00:23:32,880 --> 00:23:37,080
+bread هي اتنين milk و bread هي تلاتة milk و bread
+
+284
+00:23:37,080 --> 00:23:42,040
+هي اربعة معناته اربعة على تسعة بينما كان في الأول
+
+285
+00:23:42,040 --> 00:23:47,060
+zero على تسعة يعني انا دائما بدي اخداشبدي أخد ال
+
+286
+00:23:47,060 --> 00:23:50,240
+relative support بناء على أعداد ال elements اللي
+
+287
+00:23:50,240 --> 00:23:56,340
+موجودة هنا عشان هيك دائما بنلاقي انه ال
+
+288
+00:23:56,340 --> 00:24:02,560
+probability
+
+289
+00:24:02,560 --> 00:24:08,520
+للاتحاد عدد بقى مرات ظهورهم وهذا هو اللي بنسميه ال
+
+290
+00:24:08,520 --> 00:24:13,640
+relative support ال relative support اللي بنرمزله
+
+291
+00:24:13,640 --> 00:24:14,760
+بال S
+
+292
+00:24:17,420 --> 00:24:20,720
+الان في الميجارمنت التاني للـ association rule
+
+293
+00:24:20,720 --> 00:24:25,180
+اللي عندي احنا بسميها ال confidence الثقة او
+
+294
+00:24:25,180 --> 00:24:30,860
+الموطوقية الوطوق
+
+295
+00:24:30,860 --> 00:24:34,060
+ال confidence هي عبارة عن percentage of a
+
+296
+00:24:34,060 --> 00:24:36,620
+transaction containing a
+
+297
+00:24:39,850 --> 00:24:44,750
+Also containing being يعني هي عبارة عن يعني هي
+
+298
+00:24:44,750 --> 00:24:48,770
+فعليا جداش انا و اثر اذا كان هو ما انا في الأول
+
+299
+00:24:48,770 --> 00:24:53,030
+قلت support وظهور التنين مع بعض a و ال b as union
+
+300
+00:24:53,030 --> 00:25:03,480
+بينما الآن انا بتكلم على ال probabilityA-B-A وكأنه
+
+301
+00:25:03,480 --> 00:25:08,000
+الـ confidence تبعت ال transaction او ال
+
+302
+00:25:08,000 --> 00:25:12,300
+association rule A implies B equal support على ال
+
+303
+00:25:12,300 --> 00:25:17,140
+support هان طبعاً هان يتساوى ال probability لل A
+
+304
+00:25:17,140 --> 00:25:26,180
+اتحاد AB على ال probability لحالها
+
+305
+00:25:26,180 --> 00:25:27,360
+تمام
+
+306
+00:25:30,700 --> 00:25:35,240
+يعني هي كده انا بقى قول عدد لترانزاكشن اللى بتحتوي
+
+307
+00:25:35,240 --> 00:25:44,320
+على ال B over او على عدد لترانزاكشن اللى بتحتوي
+
+308
+00:25:44,320 --> 00:25:48,340
+على ال A فوق اللى بتحتوي على A وB من عدد
+
+309
+00:25:48,340 --> 00:25:54,400
+الترانزاكشن اللى بتحتوي على ال B ال association
+
+310
+00:25:54,400 --> 00:25:59,150
+rules كذلكلازم اتحدد دائما لما انا بدى اتعامل
+
+311
+00:25:59,150 --> 00:26:02,190
+معاها لازم يكون في عندي زى ما قولنا minimum
+
+312
+00:26:02,190 --> 00:26:08,690
+support ثريشولد و minimum confidence عشان اجي اقدر
+
+313
+00:26:08,690 --> 00:26:12,130
+اقول ان والله هذا ال role تبعى هو عبارة عن strong
+
+314
+00:26:12,130 --> 00:26:15,890
+role ان ال role اللى عندى هان هو عبارة عن strong
+
+315
+00:26:15,890 --> 00:26:16,230
+role
+
+316
+00:26:20,490 --> 00:26:24,590
+الـ support و ال confidence value دائماً بما أنهم
+
+317
+00:26:24,590 --> 00:26:29,210
+عبارة عن قيم و أنا بتكلم عن نسب فهي من صفر إلى
+
+318
+00:26:29,210 --> 00:26:33,290
+مائة في المائة القيم تبعتهم و دائما ال domain
+
+319
+00:26:33,290 --> 00:26:36,330
+expert زي ما قلت هو اللي بيحدد ال minimum support
+
+320
+00:26:36,330 --> 00:26:39,210
+و ال minimum confidence
+
+321
+00:26:43,070 --> 00:26:46,390
+The occurrence frequency of an item set is the
+
+322
+00:26:46,390 --> 00:26:51,290
+number of transactions that contains an item set
+
+323
+00:26:51,290 --> 00:26:54,890
+هل
+
+324
+00:26:54,890 --> 00:27:02,890
+أنا دائما مقيد ان اشتغل بالـ Relative Support؟ اذا
+
+325
+00:27:02,890 --> 00:27:11,770
+كانت عندى هي عبارة عن Probability للـ A اتحاد الـ
+
+326
+00:27:11,770 --> 00:27:20,260
+Bهذه عبارة عن عدد او ظهور الـ a و ال b مع بعضهم
+
+327
+00:27:20,260 --> 00:27:26,280
+على ال cardinality على ال data set اللي موجودة على
+
+328
+00:27:26,280 --> 00:27:29,860
+عدد عناصر ال data set وهذا دائما constant تابت
+
+329
+00:27:29,860 --> 00:27:35,080
+فممكن
+
+330
+00:27:35,080 --> 00:27:49,720
+انا استغني عنهإذا كانت
+
+331
+00:27:49,720 --> 00:27:54,520
+الـ item set اللي عندي تجاوزت
+
+332
+00:27:55,850 --> 00:28:00,510
+تمام ال threshold اللي موجود معناته هي frequent
+
+333
+00:28:00,510 --> 00:28:04,630
+item set وبالتالي ال support ل ال I يجب أن يكون
+
+334
+00:28:04,630 --> 00:28:09,050
+أكبر أو يساوي ال theta اللي هي ال minimum support
+
+335
+00:28:09,050 --> 00:28:14,730
+او ال threshold اللي موجود عندها فخليني بعدين اعدل
+
+336
+00:28:14,730 --> 00:28:19,250
+على السريع ال animation اللي موجودة مخليها مافي
+
+337
+00:28:19,250 --> 00:28:25,380
+مشكلة يعني بس المفروض انلو انا قلت احسب ال support
+
+338
+00:28:25,380 --> 00:28:29,660
+لـ A implies B على ال data set اللي موجودة عندها
+
+339
+00:28:29,660 --> 00:28:33,040
+تقولنا ال support هو عبارة عن probability لل union
+
+340
+00:28:33,040 --> 00:28:37,000
+يعني ان انا بدي اعد عد المرات اللي ظهرت A وB مع
+
+341
+00:28:37,000 --> 00:28:48,860
+بعض هي واحد اتنين تلاتة اربعة وبالتالي اربعة على
+
+342
+00:28:48,860 --> 00:28:50,180
+تسعة
+
+343
+00:28:52,200 --> 00:28:58,520
+تمام طيب لو انا بدي ال confidence الان ال
+
+344
+00:28:58,520 --> 00:29:04,880
+confidence لل
+
+345
+00:29:04,880 --> 00:29:11,540
+a implies b شو بده تساوي ال confidence هي عبارة عن
+
+346
+00:29:11,540 --> 00:29:17,040
+ال support لل a على ال implies b زي ما قلنا ال
+
+347
+00:29:17,040 --> 00:29:20,640
+support لل a implies ال b على
+
+348
+00:29:27,870 --> 00:29:38,700
+أربعة على تسعة على1 2 3 4 5 6 ال support تبع ال a
+
+349
+00:29:38,700 --> 00:29:45,540
+6 على 9 9 مع التسعة بتروح تصير في عندي 4 على 6
+
+350
+00:29:45,540 --> 00:29:49,960
+عشان هي كده ممكن انا استغني عن ال elements اللي
+
+351
+00:29:49,960 --> 00:29:58,620
+موجودة عندها بشكل مباشر كمان
+
+352
+00:29:58,620 --> 00:30:15,480
+مثالالسبورت تبع ال A B implies C اتحادهم
+
+353
+00:30:15,480 --> 00:30:23,840
+يعني التلاتة مع بعض ABC واحدة تنتين تمام هو متساوى
+
+354
+00:30:23,840 --> 00:30:31,150
+اتنين على تسعةالـ confidence لل A B implies C
+
+355
+00:30:31,150 --> 00:30:41,350
+يساوي ال support اللي فوق اتنين على A و B مع بعضهم
+
+356
+00:30:41,350 --> 00:30:53,850
+واحد اتنين تلاتة اربعة على اربعة بتساوي نص عفوا
+
+357
+00:31:01,760 --> 00:31:07,840
+الـ important concept عندي هان every subset من ال
+
+358
+00:31:07,840 --> 00:31:12,540
+frequent set is a frequent أي مجموعة جزئية من ال
+
+359
+00:31:12,540 --> 00:31:16,280
+frequent set معناته هي frequent لو انا اجيت قولت
+
+360
+00:31:16,280 --> 00:31:20,860
+والله ان في عندي انا مجموعة a وb وc
+
+361
+00:31:23,130 --> 00:31:27,870
+عبارة عن frequent set عبارة عن frequent set يعني
+
+362
+00:31:27,870 --> 00:31:31,330
+ال minimum support تجاوزت ال threshold و ال
+
+363
+00:31:31,330 --> 00:31:35,650
+minimum confidence طبعا ال frequent يعني اننا
+
+364
+00:31:35,650 --> 00:31:40,410
+بنتكلم عن ال support تجاوزت ال support تجاوزت ال
+
+365
+00:31:40,410 --> 00:31:44,750
+threshold اللي موجود عندها معناته اي subset منها
+
+366
+00:31:44,750 --> 00:31:49,570
+هي عبارة عن frequent هدولة كلهم subset
+
+367
+00:31:54,110 --> 00:31:58,890
+A و C عبارة عن subset بي و سي عبارة عن subset فهي
+
+368
+00:31:58,890 --> 00:32:03,890
+انا في عندها طيب لو انا بدي اذكركم بالرياضيات
+
+369
+00:32:03,890 --> 00:32:08,270
+المنفصلة كمان مرة في شغلة مهمة جاية الان يدش عدد
+
+370
+00:32:08,270 --> 00:32:11,470
+المجموعات الجزئية اللى ممكن تكون منها من اي مجموعة
+
+371
+00:32:11,470 --> 00:32:18,450
+الان عدد المجموعات الجزئية من اي مجموعة تمام يساوي
+
+372
+00:32:18,450 --> 00:32:23,620
+اتنين اص ال cardinality للست اللى موجودة عندهاعدد
+
+373
+00:32:23,620 --> 00:32:28,220
+عناصر الـ 6 هنا عندي أنا تلاتة معناته اتنين قصت
+
+374
+00:32:28,220 --> 00:32:33,020
+تلاتة معناته يساوي تمانية تمانية هي واحدة تنتين
+
+375
+00:32:33,020 --> 00:32:37,080
+تلاتة اربعة خمسة ستة ضايت انتين الفاي المجموعة
+
+376
+00:32:37,080 --> 00:32:40,840
+الخالية subset من اي جزئية وكل مجموعة عبارة عن
+
+377
+00:32:40,840 --> 00:32:46,440
+مجموعة جزئية من نفسها وهي تمان مجموعات لو كان عندي
+
+378
+00:32:46,440 --> 00:32:53,530
+رقمين a و b فقط اتنين قصت اتنين معناته اربعةالـ
+
+379
+00:32:53,530 --> 00:32:58,450
+Phi و المجموعة نفسها A و B بالإضافة لكمان مجموعتين
+
+380
+00:32:58,450 --> 00:33:02,690
+الـ A لحال و الـ B لحال هذه بنسميها احنا ال power
+
+381
+00:33:02,690 --> 00:33:08,170
+set ال set of subset ال set contains all subset of
+
+382
+00:33:08,170 --> 00:33:12,450
+C طبعا هنا عشان ما انتهش دائما في عدد العناصر
+
+383
+00:33:12,450 --> 00:33:16,290
+فاحنا دائما بقول every subset of a frequent set is
+
+384
+00:33:16,290 --> 00:33:16,990
+a frequent
+
+385
+00:33:20,930 --> 00:33:23,850
+هذا الكلام اللي سنشرحه سابقاً لو كان في عندي انا
+
+386
+00:33:23,850 --> 00:33:29,290
+ال a b is frequent hence the occurrence of a و b
+
+387
+00:33:29,290 --> 00:33:34,410
+include both a و b و تقريبا جماعة الخير كل ال
+
+388
+00:33:34,410 --> 00:33:37,870
+algorithms اللي خاصة بال association rules بنيت
+
+389
+00:33:37,870 --> 00:33:44,480
+على هذه الخاصيةأنا دائما أبحث عن الـ Frequent Set
+
+390
+00:33:44,480 --> 00:33:47,940
+و كل العناصر اللي فيها هي عبارة عن Frequent
+
+391
+00:33:47,940 --> 00:33:55,160
+Finding Association Rules يعتمد على شغلتين الشغل
+
+392
+00:33:55,160 --> 00:34:02,980
+الأولى أنه يحدد كل Frequent Item Setطبعاً لتكون ال
+
+393
+00:34:02,980 --> 00:34:05,260
+frequency تبعتها أكبر من ال threshold أكبر أو
+
+394
+00:34:05,260 --> 00:34:09,020
+تساوي و بعدين بروح بيعمل generation ل strong
+
+395
+00:34:09,020 --> 00:34:14,300
+association rule الان frequent معناته هي أكبر من
+
+396
+00:34:14,300 --> 00:34:18,120
+ال minimum support ال support تبعتها أكبر من ال
+
+397
+00:34:18,120 --> 00:34:22,810
+minimum support اللي هي سمنها ال thetaالـ Strong
+
+398
+00:34:22,810 --> 00:34:26,110
+Association Rule هي عبارة عن أن الـ support تبعتها
+
+399
+00:34:26,110 --> 00:34:29,990
+أكبر من الـ minimum support هي من هنا تمام و ال
+
+400
+00:34:29,990 --> 00:34:32,750
+confidence تبعتها أكبر من ال minimum confidence
+
+401
+00:34:32,750 --> 00:34:41,590
+condition اللي موجودة عندها الأبريوري
+
+402
+00:34:41,590 --> 00:34:45,950
+هو عبارة عن الأشهر algorithm موجود مع ال
+
+403
+00:34:45,950 --> 00:34:49,390
+association rules حنتكلم فيه الأن ان شاء الله
+
+404
+00:34:49,390 --> 00:34:50,190
+تبارك وتعالى
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM.srt
new file mode 100644
index 0000000000000000000000000000000000000000..2c7cb2716acd78a2ca6022ff2631cf5f386d91a5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM.srt
@@ -0,0 +1,2728 @@
+1
+00:00:05,010 --> 00:00:07,150
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,150 --> 00:00:10,630
+اليوم إن شاء الله تعالى هنبدأ بالفعل بالفصل الثاني
+
+3
+00:00:10,630 --> 00:00:13,970
+أو بالـ chapter الثاني من مساق تنقيب البيانات واللي
+
+4
+00:00:13,970 --> 00:00:16,810
+هو عنوانه Data understanding and preparation أو
+
+5
+00:00:16,810 --> 00:00:21,710
+البعض بيسميه Data processing أو Data preprocessing
+
+6
+00:00:21,710 --> 00:00:26,070
+فعلياً الـ chapter كله يتحدث محور حول فهم
+
+7
+00:00:26,070 --> 00:00:31,150
+البيانات وكيف ممكن أنا أجهزها لعملية الـ mining وما
+
+8
+00:00:31,150 --> 00:00:35,860
+تنسى أن لما ذكرنا وطبعاً يعني بذكرك بما مضى قلنا
+
+9
+00:00:35,860 --> 00:00:39,140
+أن عملية الـ Data Mining هي عبارة عن عملية مكونة
+
+10
+00:00:39,140 --> 00:00:45,340
+من 7 مراحل تبدأ من Data Cleaning، Data Selection،
+
+11
+00:00:45,340 --> 00:00:50,180
+Data Integration، ممتاز، Data Selection، Data
+
+12
+00:00:50,180 --> 00:00:54,360
+Transformation، Data Mining، Pattern Evaluation،
+
+13
+00:00:54,360 --> 00:01:00,380
+Knowledge Presentation، ولاحظ Cleaning، Integration،
+
+14
+00:01:00,380 --> 00:01:04,700
+Selection، Transformation، قاعد بتكلم على أربع
+
+15
+00:01:04,700 --> 00:01:10,080
+خطوات من سبعة بتكلموا على تجهيز البيانات فقط قبل
+
+16
+00:01:10,080 --> 00:01:14,260
+الـ mining وبالتالي لازم يكون في عندنا شغل في
+
+17
+00:01:14,260 --> 00:01:18,400
+المرحلة هذه والـ chapter هذا هو بيتحدث عن هذه الجزئية
+
+18
+00:01:18,400 --> 00:01:22,140
+بسم الله نبدأ الـ chapter اللي موجود عندنا عادة
+
+19
+00:01:22,140 --> 00:01:27,340
+يا جماعة الخير، المفروض قبل ما أنا أبدأ أي شغلة أكون
+
+20
+00:01:27,340 --> 00:01:31,810
+في عندي تصور عنها. أنت ليش جيت الجامعة؟ عشان والله
+
+21
+00:01:31,810 --> 00:01:35,730
+أنا بدي أدرس كذا، IT، بدي أدرس طب، بدي أدرس هندسة
+
+22
+00:01:35,730 --> 00:01:41,550
+فبتيجي على الجامعة وأنت في عندك هدف. الهدف هذا أنت
+
+23
+00:01:41,550 --> 00:01:48,350
+ما وصلت له، أنت بتسعى لتحقيقه ووفرت كل الظروف
+
+24
+00:01:48,350 --> 00:01:52,510
+المناسبة لتحقيق الهدف بدءاً من دراستك في الثانوية
+
+25
+00:01:52,510 --> 00:01:56,790
+العامة. يعني مش معقول واحد كان مثلاً بدأ طب وكان
+
+26
+00:01:56,790 --> 00:02:00,920
+بينام على الساعة الثامنة، أو بيقضي معظم وقته على الـ
+
+27
+00:02:00,920 --> 00:02:05,000
+PUBG، صح؟ فكان بيجتهد، بيجتهد بحيث أنه يجيب المعدل
+
+28
+00:02:05,000 --> 00:02:08,180
+الذي يسمح له بكلية الطب، وفي داخل كلية الطب بدأ
+
+29
+00:02:08,180 --> 00:02:12,620
+يدرس ويجتهد لحد ما بعد سبع سنوات أو ست سنوات من
+
+30
+00:02:12,620 --> 00:02:18,200
+الدراسة يتخرج بشهادة أو حصل على شهادة الطب الآن
+
+31
+00:02:18,200 --> 00:02:25,440
+كذلك عمال مناجم الذهب، يفهّمون
+
+32
+00:02:25,440 --> 00:02:31,540
+تماماً أيش هدفهم، أنه يجمع أكبر قدر ممكن من الذهب،
+
+33
+00:02:31,540 --> 00:02:35,960
+ممتاز، وين بده يدور عليه؟ بده يدور عليه على شط البحر عندنا
+
+34
+00:02:35,960 --> 00:02:40,400
+في غزة، يدور على الذهب في أماكن محددة ومعروفة
+
+35
+00:02:40,400 --> 00:02:46,580
+عالمياً وبينقبوا باستمرار فيها، تمام؟ وبالتالي، لازم
+
+36
+00:02:46,580 --> 00:02:50,600
+يكون في عندي معرفة واضحة بالبيئة التي أنا بدي أشتغل
+
+37
+00:02:50,600 --> 00:02:54,260
+فيها. كذلك إحنا في الـ Data Mining، البيئة تبعتنا
+
+38
+00:02:54,260 --> 00:02:58,790
+مين؟ الـ Data، البيانات، وأنا بدي أستخرج معرفة من
+
+39
+00:02:58,790 --> 00:03:03,770
+البيانات. الآن الـ Miner لما بدّه يروح يفحر نفق من
+
+40
+00:03:03,770 --> 00:03:09,210
+أجل التنقيب، ما ينفعش يفحره في تربة رملية، تمام؟
+
+41
+00:03:09,210 --> 00:03:12,510
+لازم تكون الجبل أو المنطقة التي بدّه يفحر فيها لها
+
+42
+00:03:12,510 --> 00:03:16,630
+مواصفات معينة، على الأقل تلبّي الحد الأدنى من الـ
+
+43
+00:03:16,630 --> 00:03:19,730
+safety له، وإلا بدّه يطبق عليه ويموت وهو بينقب عن
+
+44
+00:03:19,730 --> 00:03:24,250
+الذهب، مش حتصير الأمور على ما يرام. فبالتالي لازم يكون فهم عميق
+
+45
+00:03:26,670 --> 00:03:29,510
+لـ Data Mining أو لـ Data Analysis التي تصير
+
+46
+00:03:29,510 --> 00:03:32,670
+عندنا هنا. وبالتالي لازم أفهم، أفهم البيانات التي
+
+47
+00:03:32,670 --> 00:03:36,470
+موجودة. عادةً إحنا عندنا في عالم الـ Software في أي
+
+48
+00:03:36,470 --> 00:03:40,970
+نظام، في أي نظام موجود عندنا، في عندنا شغلتين
+
+49
+00:03:40,970 --> 00:03:46,070
+أساسيات: الـ Input والـ Output. الـ Input والـ
+
+50
+00:03:46,070 --> 00:03:49,330
+Output. في الـ Data Mining كذلك في عندنا Input و
+
+51
+00:03:49,330 --> 00:03:53,780
+Output. الـ Input تبعنا هي الـ Data، والـ Output الـ
+
+52
+00:03:53,780 --> 00:03:56,700
+Knowledge أو الـ Pattern. بنسمي الـ Pattern هذا
+
+53
+00:03:56,700 --> 00:04:00,340
+هو الـ Knowledge تبعتي اللي بدأ أطلع فيها. هل في
+
+54
+00:04:00,340 --> 00:04:05,000
+علاقة بين الـ Input والـ Output؟ ليه يا مؤمن بتقول
+
+55
+00:04:05,000 --> 00:04:09,160
+لا؟ لا، في علاقة دائماً بين الـ Input، بس جيت شكلك
+
+56
+00:04:09,160 --> 00:04:12,800
+جيت أسرحت في السؤال. أنت بعيد. في علاقة واضحة بين
+
+57
+00:04:12,800 --> 00:04:16,780
+الـ Input والـ Output. وناخد مثال بسيط الآن، لو جيت
+
+58
+00:04:16,780 --> 00:04:20,280
+وقلت لك أنت as a developer بتعمل لي function أو
+
+59
+00:04:20,280 --> 00:04:26,740
+method بتحسب صافي الراتب للموظفين، شوف بزيكة أيش
+
+60
+00:04:26,740 --> 00:04:31,380
+بيّلزمك، بعيداً عن لغة البرمجة وكذا وكذا وكذا، أيش
+
+61
+00:04:31,380 --> 00:04:34,400
+الذي يلزمك؟ يلزمنا الـ Input، مجموعة الـ argument
+
+62
+00:04:34,400 --> 00:04:39,090
+التي أنا بدي أمررها للـ function التي هيحسب الراتب
+
+63
+00:04:39,090 --> 00:04:43,630
+الأساسي، أيش عنده علاوات، قد ايش حجم الضريبة، قد ايش في
+
+64
+00:04:43,630 --> 00:04:47,350
+عليه ديون، تمام؟ أو مستقطعات، وبالتالي هذه
+
+65
+00:04:47,350 --> 00:04:50,710
+كلها بدي أدخلهم على الـ function، وداخل الـ
+
+66
+00:04:50,710 --> 00:04:52,950
+function، أو بلاش قبل أن أتكلم عن داخل الـ function
+
+67
+00:04:52,950 --> 00:04:57,330
+خارج الـ Output من الـ function قيمة واحدة فقط،
+
+68
+00:04:57,330 --> 00:05:01,870
+صافي الراتب، ممتاز، يعني في علاقة واضحة بين الـ Input
+
+69
+00:05:02,790 --> 00:05:05,870
+والـ Output. الـ Input بعد ما بنعمل لها processing
+
+70
+00:05:05,870 --> 00:05:10,910
+بتطلع عند الـ Output. جزئية الـ processing هي مبنية
+
+71
+00:05:10,910 --> 00:05:14,830
+كذلك على فهمك للـ Input. لما بروح بيجي ويقول لك على
+
+72
+00:05:14,830 --> 00:05:20,630
+ سبيل المثال، صافي الراتب هو يساوي صافي الراتب مضافاً له
+
+73
+00:05:20,630 --> 00:05:24,070
+العلاوات، الـ commission، مخصوماً منه الضريبة، تمام،
+
+74
+00:05:24,070 --> 00:05:26,790
+ومطرحاً منه الاستحقاقات التي عليه أو الديون
+
+75
+00:05:26,790 --> 00:05:30,850
+الموجودة عليه. شو بتساوي؟ ما فيش مجال للـ
+
+76
+00:05:30,850 --> 00:05:36,340
+implementation لها بطريقة واحدة. الـ Basic Salary
+
+77
+00:05:36,340 --> 00:05:40,960
+تساوي الـ Basic Salary ضرب قيمة الضريبة، مظبوط،
+
+78
+00:05:40,960 --> 00:05:44,620
+زائد الـ Commission، ناقص الاستقطاعات التي موجودة.
+
+79
+00:05:44,620 --> 00:05:49,380
+في مجال تعمل implementation غير هيك؟ كيف يا مؤمن؟
+
+80
+00:05:49,380 --> 00:05:53,900
+ما في مجال، معناها تقريباً شكلك مش فاهم عليّ أنا اليوم.
+
+81
+00:05:53,900 --> 00:05:58,840
+خليك مركز معايا، تمام؟ الآن ما فيش مجال، طب، هي المعادلة هذه
+
+82
+00:05:58,840 --> 00:06:02,420
+أنت كتبتها على مزاجك ولا انحكمت
+
+83
+00:06:02,420 --> 00:06:05,680
+بقوانين؟ انحكمت بقانون المؤسسة كيف تحسب الراتب
+
+84
+00:06:05,680 --> 00:06:13,060
+وهنا نفس الكلام في الـ Data mining بشكل عام، وبالـ
+
+85
+00:06:13,060 --> 00:06:18,740
+machine learning بشكل خاص، تمام؟ ليش؟ لأنه الآن في
+
+86
+00:06:18,740 --> 00:06:21,360
+الجزئيات في الـ mining، هستخدم machine learning
+
+87
+00:06:21,360 --> 00:06:25,890
+algorithm. الـ algorithm هذا هيأخذ مني الـ Input الـ
+
+88
+00:06:25,890 --> 00:06:29,310
+data ويديني pattern، فهيرح يعمل لها analysis
+
+89
+00:06:29,310 --> 00:06:32,950
+واختيار عملية الـ analysis والتحليل، الهدف لازم
+
+90
+00:06:32,950 --> 00:06:37,550
+يكون يتوافق مع الـ Output المرجو، وبالتالي أنا هنا
+
+91
+00:06:37,550 --> 00:06:40,450
+لازم يكون أفهم العلاقة أيش الـ Input والـ Output
+
+92
+00:06:40,450 --> 00:06:46,070
+أكثر من أي شغلة، من المعرفة إيه أيش بده يصير في
+
+93
+00:06:46,070 --> 00:06:49,310
+بينهم. لأن غالباً في الـ implementation أنا مش حتعب
+
+94
+00:06:49,310 --> 00:06:53,920
+رأسي كثيراً، هيديني الـ formula وأكتبها، والصبر كان الله
+
+95
+00:06:53,920 --> 00:06:56,460
+بالسر عليها، مظبوط؟ في الـ، في الـ Machine
+
+96
+00:06:56,460 --> 00:06:59,240
+Learning أو في الـ Data Mining بدي أفهم الـ Input
+
+97
+00:06:59,240 --> 00:07:03,320
+وأفهم الـ Output، وأختار Algorithm من الـ Machine
+
+98
+00:07:03,320 --> 00:07:06,960
+Learning يكون مناسب للـ task وأقول له تفضل، هو
+
+99
+00:07:06,960 --> 00:07:10,460
+الذي بدّه يعمل Analysis. يعني أنا فعلياً ما لي علاقة
+
+100
+00:07:10,460 --> 00:07:15,920
+كبيرة كيف آلة الـ Input للـ Output، بس إلي علاقة
+
+101
+00:07:15,920 --> 00:07:20,440
+أنه فعلياً بدي أحدد الـ Input لتناسب مع الـ Output
+
+102
+00:07:20,440 --> 00:07:20,880
+المرجو.
+
+103
+00:07:23,440 --> 00:07:27,440
+كذلك بالنسبة للـ preparation، أنا متكلم الآن في
+
+104
+00:07:27,440 --> 00:07:29,680
+الـ data understanding، ليش مهمة في الـ data
+
+105
+00:07:29,680 --> 00:07:34,120
+preparation؟ معروف عندنا مصطلح في عالم البرمجيات
+
+106
+00:07:34,120 --> 00:07:40,100
+garbage in garbage out. عمرك ما تتوقع أن يكون في
+
+107
+00:07:40,100 --> 00:07:43,720
+عندي result محترمة إذا كانت الـ Input التي عندي
+
+108
+00:07:43,720 --> 00:07:49,920
+سيئة. إذا أنت مدّيتني قيمة صافي الراتب واضحة، عفواً،
+
+109
+00:07:49,920 --> 00:07:55,720
+الراتب الأساسي واضحة، ما حددت لي بشكل دقيق، ما حددت لي
+
+110
+00:07:55,720 --> 00:07:58,340
+قيمة الضريبة، وما حددت لي قيمة الاستقطاعات التي على
+
+111
+00:07:58,340 --> 00:08:03,200
+الموظف هذا، ما قلت لي الـ formula التي تصاغ عليها
+
+112
+00:08:03,200 --> 00:08:07,020
+المعادلة هذه، ما تلومنيش لأن الـ garbage أنت أديتني
+
+113
+00:08:07,020 --> 00:08:12,240
+garbage فخدت مني garbage. وفي الـ Data mining الـ
+
+114
+00:08:12,240 --> 00:08:13,560
+low quality data
+
+115
+00:08:16,610 --> 00:08:21,630
+معناها low quality mining result. إذا أنا ما اخترتش
+
+116
+00:08:21,630 --> 00:08:26,750
+منطقة التنقيب بشكل، بشكل مناسب، بشكل دقيق، معناها
+
+117
+00:08:26,750 --> 00:08:35,530
+مش هحصل على النتيجة المطلوبة، نعم، ممتاز،
+
+118
+00:08:35,530 --> 00:08:39,730
+بس مش أنت الذي تستخرجها، فعلياً، فعلياً مش أنت الذي
+
+119
+00:08:39,730 --> 00:08:42,670
+تستخرجها، من الذي بيدور لك على الـ pattern هذه؟
+
+120
+00:08:42,670 --> 00:08:45,230
+الـ tools أو بنجيب الـ machine learning
+
+121
+00:08:45,230 --> 00:08:48,230
+algorithm. مش احنا اتفقنا أن الـ data mining هي
+
+122
+00:08:48,230 --> 00:08:52,150
+عبارة عن multidisciplinary topic، جمع من الـ
+
+123
+00:08:52,150 --> 00:08:53,790
+database، من الـ programming، من الـ machine
+
+124
+00:08:53,790 --> 00:08:56,550
+learning، من الـ statistics. جزء الـ machine learning
+
+125
+00:08:56,550 --> 00:08:59,150
+تستخدم في عملية الـ mining نفسها، أو بنجيب في
+
+126
+00:08:59,150 --> 00:09:04,180
+عملية التحليل، عملية البحث عن الـ pattern. مجرد أنت،
+
+127
+00:09:04,180 --> 00:09:07,900
+أنت بعد ما تفهم الـ data، وتفهم الـ Output الذي بدي
+
+128
+00:09:07,900 --> 00:09:12,040
+يَطْلَع، دورك تختار machine learning algorithm مناسب
+
+129
+00:09:12,040 --> 00:09:16,860
+وتقول قصته بالظبط. في لوح، ولا في data يعني أنه مش
+
+130
+00:09:16,860 --> 00:09:21,440
+أنظمة، أو قليلة، مش، مسألة مش أنظمة أو قليلة، فعلياً
+
+131
+00:09:21,440 --> 00:09:25,040
+فيها مشاكل، أو يعني بعدين تيجي تقول لي أنا والله بدي
+
+132
+00:09:25,040 --> 00:09:30,180
+أحسب رواتب الموظفين بحيث أن أعلى راتب للموظف في
+
+133
+00:09:30,180 --> 00:09:37,220
+صافي الراتب لا يتجاوز الـ 1500 دولار، تمام؟ وأتفاجأ،
+
+134
+00:09:37,220 --> 00:09:40,840
+أتفاجأ أنه في الـ Input التي عندي كـ basic salary
+
+135
+00:09:40,840 --> 00:09:47,480
+فيه موظفين رواتبهم الابتدائية أكثر من 1500، وما فيش
+
+136
+00:09:47,480 --> 00:09:51,540
+عنده ضرائب، وما فيش عنده خصومات، ممتاز، عشان هيك
+
+137
+00:09:51,540 --> 00:09:56,680
+بنقول لك garbage in garbage out. فإذا كانت الآن الـ
+
+138
+00:09:56,680 --> 00:10:01,320
+quality تبعت الـ product دائماً معتمدة اعتماد كله على
+
+139
+00:10:01,320 --> 00:10:05,260
+الـ Input، على الـ Quality تبعت الـ Input. واحد
+
+140
+00:10:05,260 --> 00:10:07,300
+يقول لي بس مش هذا الذي بيصير يا دكتور في عالم
+
+141
+00:10:07,300 --> 00:10:09,680
+التنقيب، الذي إحنا بنشوفه على الـ National
+
+142
+00:10:09,680 --> 00:10:13,300
+Geographic، بيروح بيحفر وبيلاقي ذهب. قبل ما يروح
+
+143
+00:10:13,300 --> 00:10:17,940
+يحفر و يلاقي الذهب هذا، قد ايش بحث عن الأرض؟ قد ايش
+
+144
+00:10:17,940 --> 00:10:23,700
+استئجار معدات؟ قد ايش ناس جالدين على العمل وبيفهّموا
+
+145
+00:10:23,700 --> 00:10:26,280
+في التخصّص، في المجال الذي بيشتغلوا فيه، فبتلاقي عنده
+
+146
+00:10:26,280 --> 00:10:30,660
+الـ Mechanic، عشان لو عطلت الآلة مباشرة يصلحها.
+
+147
+00:10:30,660 --> 00:10:35,360
+بيلاقي عنده الخبير الذي في التربة، بيعرف الذي عنده
+
+148
+00:10:35,360 --> 00:10:39,820
+سوابق، على رأي أبو حاسم، تمام؟ فبكون فعلياً هو جهد
+
+149
+00:10:39,820 --> 00:10:46,440
+وفر Input، Input على مستوى الهدف تبعه، تمام يا
+
+150
+00:10:46,440 --> 00:10:51,940
+أحمد؟ في
+
+151
+00:10:51,940 --> 00:10:56,620
+فهم البيانات، أو فهمك للبيانات، لازم تطرح على نفسك
+
+152
+00:10:56,620 --> 00:11:01,880
+مجموعة من الأسئلة. الأسئلة هذه مهمة في الجزئية
+
+153
+00:11:01,880 --> 00:11:03,800
+الأولى من الـ chapter، التي هي Data understanding.
+
+154
+00:11:06,730 --> 00:11:10,750
+في الـ Basic Question هذه، لازم أنت زي ما قلت لك
+
+155
+00:11:10,750 --> 00:11:15,310
+عشان تحصل على معرفة أو مفهوم كويس، تروح تسأل مجموعة
+
+156
+00:11:15,310 --> 00:11:18,790
+من الأسئلة، وهذه general question، تقريباً أنت وغيرك
+
+157
+00:11:18,790 --> 00:11:22,370
+هتسألها لنفسك، وهتلاقي أن بعضها ممكن تكرر الآن بشكل
+
+158
+00:11:22,370 --> 00:11:25,950
+أو بأخر، من ضمن الأسئلة، أو تقول معاك لنفس المعنى، مش
+
+159
+00:11:25,950 --> 00:11:29,870
+قضية، لكن كلها تصب في مرحلة واحدة أو في اتجاه واحد
+
+160
+00:11:29,870 --> 00:11:36,480
+أنك أنت تفهم البيانات قبل ما تشتغل. ليش هذا الكلام؟
+
+161
+00:11:36,480 --> 00:11:39,240
+عشان أنا أعرف وين، أعرف وين حدودي، أيش أرض
+
+162
+00:11:39,240 --> 00:11:42,340
+الصلبة التي أنا واقف عليها، عشان أبدأ المرحلة
+
+163
+00:11:42,340 --> 00:11:46,060
+التالية، بجلّب جو زي ما بيقولوا، وأطمئن، وأتجنّب الـ
+
+164
+00:11:46,060 --> 00:11:49,140
+risk التي ممكن تصير. لأن عملية الـ analysis في جامعة
+
+165
+00:11:49,140 --> 00:11:52,060
+الخير، إحنا اليوم بنتعلم، لكن في الـ real world أو في
+
+166
+00:11:52,060 --> 00:11:54,840
+العالم، لما أنت بدك تستخدم الـ machine learning
+
+167
+00:11:54,840 --> 00:11:59,150
+algorithm هذا، ممكن يشغله عشرة أيام أو أحد عشر يوماً أو
+
+168
+00:11:59,150 --> 00:12:03,610
+أسبوع أو أكثر، هو بيعمل، بحاول يقرأ البيانات ويحللها.
+
+169
+00:12:03,610 --> 00:12:09,450
+جهازك الشخصي مش هيخدمك، بدك تروح تحجز cloud server،
+
+170
+00:12:09,450 --> 00:12:14,510
+بدك تدفع مبلغ محترم، فقبل ما أنا بدي آخذ هذه التجربة
+
+171
+00:12:14,510 --> 00:12:18,250
+هذه وأكثر، لازم أكون فاهم كويس أيش البيانات التي
+
+172
+00:12:18,250 --> 00:12:24,330
+موجودة عندي، وبالتالي الفهم هذا هو بيمثّل درعك في
+
+173
+00:12:24,330 --> 00:12:30,290
+
+223
+00:16:24,530 --> 00:16:30,030
+والله أوكي أنا عندي خمسين صورة أو عندي عشر صور هل
+
+224
+00:16:30,030 --> 00:16:33,410
+العشر هدول كافيات يبني system قادر على التنبؤ أو
+
+225
+00:16:33,410 --> 00:16:39,690
+يساعدني حتمًا، لأ حتمًا لأ، وبالتالي حجم البيانات
+
+226
+00:16:39,690 --> 00:16:47,150
+لازم يكون كافيًا للتعليم، وهذا الكلام مش هيصير في
+
+227
+00:16:47,150 --> 00:16:51,010
+المجال زي ما قلت لك إلا من واقع خبرة تراكمية في
+
+228
+00:16:51,010 --> 00:16:54,910
+العمل. اليوم احنا فعليًا مش عارفين، لما أقول لك الواجب
+
+229
+00:16:54,910 --> 00:16:57,450
+المرة اللي جاية بدي data set كذا، ممكن تجيب لي data
+
+230
+00:16:57,450 --> 00:17:01,050
+set من ألفين record موجودة، معظمها موجود للتدريب
+
+231
+00:17:01,050 --> 00:17:05,430
+(training) وفي بعضها موجودة على مواقع Kaggle
+
+232
+00:17:05,430 --> 00:17:08,090
+محطوطة لـ competition وممكن تدفع عليها فلوس، و
+
+233
+00:17:08,090 --> 00:17:10,850
+بتلاقيها real data set وبتلاقيها بمئات الآلاف الـ
+
+234
+00:17:10,850 --> 00:17:14,910
+records وأحيانًا بـ gigabytes حجمها عشان تعملها
+
+235
+00:17:14,910 --> 00:17:19,530
+download بدك يومين تلاتة الآن حسب الحجم، المشكلة
+
+236
+00:17:20,580 --> 00:17:27,320
+بتصير بالمناسبة، كل ما كانت الـ data أكبر بـ
+
+237
+00:17:27,320 --> 00:17:35,580
+تحتاج أكثر وبتكون الـ result تبعتك أفضل، بدك
+
+238
+00:17:35,580 --> 00:17:41,080
+فضاء عين واسع، أديك مثال من واقعنا احنا، بنقولوا
+
+239
+00:17:41,080 --> 00:17:46,140
+فلان طبيب حاذق في التخصص اللي بيشتغل فيه، جيهير
+
+240
+00:17:46,140 --> 00:17:51,780
+بلغتنا أهل غزة، صح؟ ليش بنقول عنه هالصفة؟ بس لأنه
+
+241
+00:17:51,780 --> 00:17:59,500
+من أول حلقة بيشخص، صح؟ لأ، مر عليه حالات بلغتنا برضه
+
+242
+00:17:59,500 --> 00:18:03,420
+احنا أهل غزة، بعدد شعر رأسه، وبالتالي صار عنده
+
+243
+00:18:03,420 --> 00:18:07,520
+knowledge أو experience عالية جدًا، بمجرد يتعرف أو
+
+244
+00:18:07,520 --> 00:18:12,000
+يسمع من الشخص الأعراض اللي بيشكيها، تمام، بيقدر يحدد
+
+245
+00:18:12,000 --> 00:18:16,820
+المرض بشكل دقيق، تمام، هذا لا يعني أنه لا يخطئ، لكنه
+
+246
+00:18:16,820 --> 00:18:21,980
+فعليًا نسبة الدقة عنده في التشخيص مرتفعة جدًا، تكاد
+
+247
+00:18:21,980 --> 00:18:27,380
+تكون كاملة، من أين؟ من واقع خبرة، ما بينفعش طبيب جديد
+
+248
+00:18:27,380 --> 00:18:31,830
+بيجي طبيب مبارح يتخرج يقول أنا عندي خبرة أفضل من
+
+249
+00:18:31,830 --> 00:18:35,190
+فلان، لأ، العامل الزمن وعدد التجارب اللي مر فيها
+
+250
+00:18:35,190 --> 00:18:39,070
+بالمناسبة، كل تجربة مر فيها .. كل طبيب يعالجه ..
+
+251
+00:18:39,070 --> 00:18:43,650
+عفوًا، كل مريض يعالجه الطبيب هي عبارة عن instance، row
+
+252
+00:18:43,650 --> 00:18:48,210
+.. row .. record في الـ data set تبعتّه، بيحاول يكتسب
+
+253
+00:18:48,210 --> 00:18:53,050
+من خلالها خبرة، وبالتالي بعد ما هي الـ data relevant،
+
+254
+00:18:53,050 --> 00:18:58,630
+حجم البيانات مهم جدًا، هل هذه هي كل الـ data set؟
+
+255
+00:19:01,490 --> 00:19:04,630
+Okay، أنت قلت لي، هذا حجمها، قلت لي والله عندي ألف
+
+256
+00:19:04,630 --> 00:19:11,290
+record، ضروري تسأل نفسك، فعليًا، هل في مجال هذه كل الـ
+
+257
+00:19:11,290 --> 00:19:15,610
+data set، ولا في جزء مخفي أنا مش قادر أصل له، مش من
+
+258
+00:19:15,610 --> 00:19:18,970
+الـ .. بدور على knowledge، يا .. يا هاشم، بأدور على
+
+259
+00:19:18,970 --> 00:19:23,960
+بيانات، يعني بين قوسين، هل في مجال هالألف يصيروا
+
+260
+00:19:23,960 --> 00:19:30,920
+1500 أو 1500.5، يصيروا 3000، يعني بين قوسين، هل هناك
+
+261
+00:19:30,920 --> 00:19:34,220
+مصدر آخر للبيانات هذه ممكن أن أحصل عليه؟ الآن أنا
+
+262
+00:19:34,220 --> 00:19:38,420
+فعليًا، أول ما طرقت باب مستشفى الشفاء، التخصص
+
+263
+00:19:38,420 --> 00:19:42,760
+المطلوب، لكن بعرف أن في من الأطباء شاطر، وكتير من
+
+264
+00:19:42,760 --> 00:19:47,380
+المرضى هذول بيتوجهوا له، فممكن أنا أروح لهذا الطبيب، أن
+
+265
+00:19:47,380 --> 00:19:52,910
+أروح ألاقي عنده سجلات إضافية، وبالتالي أوسّع الـ data
+
+266
+00:19:52,910 --> 00:19:56,150
+set تبعتي، عشان هيك بدك تسأل نفسك، هل هي كل الـ data
+
+267
+00:19:56,150 --> 00:20:01,990
+set هاي ولا في مجال تكون أكبر؟ هل الـ data set هاي
+
+268
+00:20:01,990 --> 00:20:06,290
+representative enough، كافية لتمثيل الحالات اللي
+
+269
+00:20:06,290 --> 00:20:10,930
+أنا بقى أشتغل فيها؟ احنا خدنا مثال طلاب المدرسة، و
+
+270
+00:20:10,930 --> 00:20:15,210
+نسبة تحصيلهم، طب ما هي بياناتهم الدراسية موجودة في
+
+271
+00:20:15,210 --> 00:20:19,610
+المدرسة، لكن هل هي كافية للحالة اللي أنا بقى أتكلم
+
+272
+00:20:19,610 --> 00:20:24,720
+فيها؟ اللي هي بنجامين كانت .. نذكركم بالحالة، بناءً
+
+273
+00:20:24,720 --> 00:20:28,760
+على وضعه الصحي، يجد أن نسبة تحصيله لأ، غير كافية،
+
+274
+00:20:28,760 --> 00:20:33,220
+المعرفة دي ما بتكفيش، الـ data set مش represented، بتمثلش
+
+275
+00:20:33,220 --> 00:20:36,140
+كل البيانات، لكن في مثال الـ iris اللي ذكرته قبل
+
+276
+00:20:36,140 --> 00:20:41,160
+لحظات، اللي هو الزهرات أو الزهور، كان فيه شغلات
+
+277
+00:20:41,160 --> 00:20:46,860
+معروفة، قال هي الوردة أو هي الزهرة، كأس، ارتفاعه، حجمه
+
+278
+00:20:46,860 --> 00:20:53,070
+البتلة، طولها وعرضها، قياسات،  في غير هي كانت
+
+279
+00:20:53,070 --> 00:20:56,130
+موجودة في الوردة، قال لك لأ، ما عنديش، هي الموجودة
+
+280
+00:20:56,130 --> 00:21:01,410
+الريحة، مش هتطلع في الكمبيوتر، وبالتالي خلصنا منها،
+
+281
+00:21:01,410 --> 00:21:05,410
+انسى الموضوع، مصبوط؟ فهذه كانت فعليًا الـ four
+
+282
+00:21:05,410 --> 00:21:08,850
+attributes اللي أنا ذكرتهم، enough representative
+
+283
+00:21:08,850 --> 00:21:14,910
+وبشكل كافي للزهرات الموجودة، ثم إنه بدي أرجع للعدد،
+
+284
+00:21:14,910 --> 00:21:20,710
+فعليًا الـ data هي as rows بتمثل تلت أنواع من
+
+285
+00:21:20,710 --> 00:21:25,190
+الزهرات هذول، ولا بس بتمثل نوع واحد؟ إذا بتمثل
+
+286
+00:21:25,190 --> 00:21:30,510
+نوع واحد، ما تستفيد منها حاجة، وبالتالي لازم يكون في
+
+287
+00:21:30,510 --> 00:21:34,830
+عندي variation بحيث أنه لما بدي أعلم النظام
+
+288
+00:21:34,830 --> 00:21:39,270
+يجي يقول لي true، false، positive، و
+
+289
+00:21:39,270 --> 00:21:44,070
+negative، لازم أعرض عليه عينات من الاثنين، positive
+
+290
+00:21:44,070 --> 00:21:46,310
+و negative عشان يتعرف على خصائص high يا رامي،
+
+291
+00:21:46,310 --> 00:21:50,110
+ويتعرف على خصائص high، وفي الآخر يقدر ياخد decision،
+
+292
+00:21:54,700 --> 00:22:00,360
+هل الـ data تبعتي فيها outlier ولا لأ؟ cross
+
+293
+00:22:00,360 --> 00:22:08,100
+outliers، ولا فيها أي شغلة غير اعتيادية؟ الآن لو أنا
+
+294
+00:22:08,100 --> 00:22:12,940
+اجيت وقلت لك كالتالي، بدي أرسم هنا رسمة بسيطة، قلت لك
+
+295
+00:22:12,940 --> 00:22:18,220
+حاولت أرسم الـ data تبعتي في الـ 2D ولجيتها
+
+296
+00:22:18,220 --> 00:22:20,820
+عاملها هيك،
+
+297
+00:22:28,530 --> 00:22:36,390
+وأجينا هنا قلنا لك، في عندي كم
+
+298
+00:22:36,390 --> 00:22:45,470
+من البيانات هنا، لكن النسبة الأكبر الـ red، الآن ..
+
+299
+00:22:45,470 --> 00:22:50,950
+الآن لو أنا قلت بدي أعمل model يحاكي الـ data هذا
+
+300
+00:22:50,950 --> 00:22:54,910
+أو الـ situation اللي عندي، أفضل model هيكون
+
+301
+00:22:54,910 --> 00:23:00,700
+straight line، خط مستقيم مع الـ data اللي موجودة
+
+302
+00:23:00,700 --> 00:23:05,740
+عندهم، أكيد،
+
+303
+00:23:05,740 --> 00:23:11,080
+نرجع بنأكد، plus or minus من الـ accuracy، صحيح؟ طب
+
+304
+00:23:11,080 --> 00:23:19,400
+بس هدول .. هدول .. هدول فعليًا وجودهم هيعمل أن الـ
+
+305
+00:23:19,400 --> 00:23:23,720
+line يروح باتجاههم، ولا شو رايكم؟ لأن يعرفوا أن مش
+
+306
+00:23:23,720 --> 00:23:29,000
+نقطة واحدة، ولا نقطتين في مجموعة هدول، بدي أخد قرار
+
+307
+00:23:29,000 --> 00:23:31,300
+فيهم، هل هو دول outlier ولا لأ؟ إذا كانت نقطة
+
+308
+00:23:31,300 --> 00:23:34,900
+ونقطتين، ممكن أحذفهم، ممكن يكونوا عشر أو عشرين، واضطر
+
+309
+00:23:34,900 --> 00:23:39,900
+أحذفهم، الآن بنيجي مثلًا، بقول لك في مجال تربية الأبناء
+
+310
+00:23:39,900 --> 00:23:49,620
+وقعك تكذب قدام ابنك، ليش؟ هي بس مرة واحدة اتصرف
+
+311
+00:23:49,620 --> 00:23:54,560
+هذا التصرف قدامه وخلاص، وهو كفيل إنه يعيده مرة أو
+
+312
+00:23:54,560 --> 00:23:57,780
+اثنتين أو تلاتة أو عشرة، ولما تيجي تقوله كذا، بتقول لك
+
+313
+00:23:57,780 --> 00:24:02,680
+ما أنت كذا، وولدك كذا، عملت كذا، مصبوط؟ وبالتالي الـ
+
+314
+00:24:02,680 --> 00:24:07,600
+outlier هذا مش لازم يكون موجود، عشان هيك لازم أنا
+
+315
+00:24:07,600 --> 00:24:12,080
+أفهم الـ data تبعتي، تكون إيش صحيحة، وعادةً جماعة
+
+316
+00:24:12,080 --> 00:24:17,090
+الخير يمكن كمان النقاط اللي أنا رسمتها هيكون
+
+317
+00:24:17,090 --> 00:24:20,530
+كثيرة، المفروض تكون أقل، ليش؟ لأن المفروض ..
+
+318
+00:24:20,530 --> 00:24:24,250
+المفروض أن الـ data هذه normal، والـ outlier زي ما
+
+319
+00:24:24,250 --> 00:24:27,770
+قلنا هو الشواذ .. الشاذ، يعني نيجي بنقول والله سألنا
+
+320
+00:24:27,770 --> 00:24:31,810
+أهل الشبكات في الجامعة الإسلامية، كم request بيجي
+
+321
+00:24:31,810 --> 00:24:36,190
+للسيرفر تباعنا في اليوم؟ قال لك والله إنه ممكن
+
+322
+00:24:36,190 --> 00:24:40,350
+يجيني مثلًا خمسين ألف، أو يجينا عشرة آلاف، أو سبعة ..
+
+323
+00:24:40,350 --> 00:24:44,570
+سبعة آلاف في اليوم، تيجي فترة التسجيل، بيكون عند
+
+324
+00:24:44,570 --> 00:24:50,180
+الذروة، عشرين ألف، عشرين ألف request لصفحة الجامعة
+
+325
+00:24:50,180 --> 00:24:57,720
+للسيرفر الجامعة، هذا الـ normal، تمام، لكن
+
+326
+00:24:57,720 --> 00:25:02,100
+صار فيه هنا في بعض الأوقات، صار في عندنا عليه جلطة،
+
+327
+00:25:02,100 --> 00:25:06,860
+العشرين ألف صار خمسين أو صار مائة ألف request، لو
+
+328
+00:25:06,860 --> 00:25:11,480
+اتحققنا في هدول في الـ traffic العالي، ممكن نلاقي
+
+329
+00:25:11,480 --> 00:25:15,190
+إحنا  Denial of service attack عامله، كان
+
+330
+00:25:15,190 --> 00:25:19,930
+بتتوقع بتتعرض له سيرفر الجامعة، لأنه كمان مرة أنت
+
+331
+00:25:19,930 --> 00:25:26,210
+المفروض تعرف الـ pattern الحقيقي، بعدين بتقرر شو وضع
+
+332
+00:25:26,210 --> 00:25:29,030
+الـ pattern بيجي، أطباء القلب بيجي بيقول لك والله أنه
+
+333
+00:25:29,030 --> 00:25:35,410
+الـ frequent، لما بروح بياخد الـ ECG لتخطيط القلب، مجرد
+
+334
+00:25:35,410 --> 00:25:39,800
+يطلع عليه الطبيب، ولا يعملها، في عندك اضطراب لأ، مراكز
+
+335
+00:25:39,800 --> 00:25:44,460
+سليمة، ليش؟ لأنه هو أساسًا حفظ النمط الطبيعي، كيف
+
+336
+00:25:44,460 --> 00:25:49,540
+ممكن يكون، وبناء عليه بياخد decision على العناصر
+
+337
+00:25:49,540 --> 00:25:53,040
+الموجودة، وبالتالي أنا بدي أحاول أعرف، بعد ما شوفت
+
+338
+00:25:53,040 --> 00:25:56,060
+حجم البيانات، وهل هي مكتملة أو لأ، و representative
+
+339
+00:25:56,060 --> 00:25:59,280
+هل فيها outlier ولا لأ، تفضل يا خالد
+
+340
+00:26:05,510 --> 00:26:10,730
+مثلًا، إذا عددهم كثير هم مش outlier، يعني مثلًا أجي
+
+341
+00:26:10,730 --> 00:26:17,150
+هيك، نيجي نقول كالتالي، فلان عنده عشرة من الأبناء
+
+342
+00:26:17,150 --> 00:26:24,850
+كلهم مجتهدين، نشيطين، مؤدبين، و و و، لكن واحد منهم فلتان،
+
+343
+00:26:24,850 --> 00:26:30,150
+أه، أنت عكست الشغل، تمام، اعكس الشغل تمام، بيصير اللي
+
+344
+00:26:30,150 --> 00:26:34,330
+بيحدد هو الـ outlier، أيوة، ففعليًا العدد بيلعب دور،
+
+345
+00:26:34,330 --> 00:26:37,870
+أنا هنا لما رسمت، حاولت .. حاولت .. حاولت أرسم عشر
+
+346
+00:26:37,870 --> 00:26:41,370
+نقاط في المقابلة، ممكن رسمت خمسين أو ستين نقطة هنا،
+
+347
+00:26:41,370 --> 00:26:44,810
+تمام؟ وعادت راجعت، إذا كان لاحظت، ومسحتهم، لأنه
+
+348
+00:26:44,810 --> 00:26:48,250
+فعليًا عشر على خمسين لأ، إلهم وزن، لكن أربعة أو
+
+349
+00:26:48,250 --> 00:26:53,250
+اثنين على خمسين، نوعًا ما الوزن إيش بيقل، تمام؟
+
+350
+00:26:53,250 --> 00:26:56,390
+فدائمًا الـ outlier بالعدد، عدده قليل،
+
+351
+00:26:59,240 --> 00:27:03,800
+كيف لو أنا أنا أخذته؟ طيب ممتاز، الآن أنت لو حملت
+
+352
+00:27:03,800 --> 00:27:09,540
+الـ outlier في حسبانك، وروح تعدل معادلة الخط هاي،
+
+353
+00:27:09,540 --> 00:27:13,480
+شو بتساوي؟ المفروض أن الخط يجي هنا، على الأقل على
+
+354
+00:27:13,480 --> 00:27:21,160
+حدود المنطقة الحمراء، هاي، اللي هو الخط المقطع،
+
+355
+00:27:21,160 --> 00:27:24,480
+هذا العمل اللي بحاول أرسمه هنا، ولا لأ؟ ما تقول لي
+
+356
+00:27:24,480 --> 00:27:26,800
+إنه ليه مش تأثير؟ لأ، إيه اللي هو تأثير في الوزن؟
+
+357
+00:27:26,800 --> 00:27:35,080
+ممتاز، طب مين أدق؟ الخط اللي في الأول ولا الخط هذا؟
+
+358
+00:27:35,080 --> 00:27:39,440
+الأول، ليش؟ لأنه عامل fit تقريبًا في نص البيانات أو
+
+359
+00:27:39,440 --> 00:27:45,520
+بين قوسين، نسبة الخطأ فيه أقل، لمن؟
+
+360
+00:27:45,520 --> 00:27:49,540
+طب أنا ما بهمش، وأنا بدي أرجع لك للنقطة هذه، هذه
+
+361
+00:27:49,540 --> 00:27:56,400
+الآن، بعد ما كانت نسبة الـ accuracy تبعتها حوالي 98%،
+
+362
+00:27:56,400 --> 00:28:03,200
+أصبحت الـ accuracy تبعتها 70%، أه، قصده يا دكتور أنه
+
+363
+00:28:03,200 --> 00:28:05,880
+ما بنفعش إحنا نضل نعدل كثير في الـ data، أو نرفع
+
+364
+00:28:05,880 --> 00:28:08,840
+منها، أصار يا عم أنت، ليش بتضل تفرض كثير؟ إحنا
+
+365
+00:28:08,840 --> 00:28:14,360
+بنقول لك الـ outlier قيم شاذة، لأن هي عبارة عن نسبة قليلة
+
+366
+00:28:14,360 --> 00:28:20,500
+جدا، لكن تؤثر .. تؤثر سلبًا .. الآن بدي أجي أقول لك
+
+367
+00:28:20,500 --> 00:28:24,440
+كالتالي، حضرتك ما شاء الله من المجتهدين، ومعدلك
+
+368
+00:28:24,440 --> 00:28:30,080
+دائمًا علاماتك .. علاماتك تسعين، مش هقول أكثر، ولا
+
+369
+00:28:30,080 --> 00:28:35,030
+بدي أقول تسعين، تجرأت في الـ data mining، وحطيت لك
+
+370
+00:28:35,030 --> 00:28:40,250
+أربعين، وين راح معدلك؟ وين راح معدلك؟ يا
+
+371
+00:28:40,250 --> 00:28:43,330
+دكتور، والله ما هو هذا أنا، مش أنا بس، المادة يعني
+
+372
+00:28:43,330 --> 00:28:46,770
+ما ضبطت معي، بس في الآخر بتصير الأربعين هذه
+
+373
+00:28:46,770 --> 00:28:50,710
+outlier، ماشي الحال، بس الفكرة اللي أنا بدي أقوله
+
+374
+00:28:50,710 --> 00:28:56,130
+أن الـ outlier هي عبارة عن قيم infrequent، غير
+
+375
+00:28:56,130 --> 00:29:01,470
+متكررة، لكن وجودها بيؤثر، بدك تقول لي أن هذه الأربعين
+
+376
+00:29:01,470 --> 00:29:06,810
+لو كانت ضمن فصلين أو تلاتة فصول، مش هتأثر في المعدل؟
+
+377
+00:29:06,810 --> 00:29:10,910
+بتأثر، وبتأثر كتير، في اللحظة اللي بتخلص منها أنت
+
+378
+00:29:10,910 --> 00:29:15,650
+بتحس أن المعدل، بجيب مثال على الـ outlier، الـ
+
+379
+00:29:15,650 --> 00:29:20,370
+outlier كمان يا شباب هي قيمة حقيقية موجودة، لكن
+
+380
+00:29:20,370 --> 00:29:27,370
+وجودها يتنافى تمامًا مع الـ trend العام اللي موجودة
+
+381
+00:29:27,370 --> 00:29:31,580
+فيه، إيش؟ الـ data set اللي موجودة هنا، عشان هيك أول
+
+382
+00:29:31,580 --> 00:29:35,820
+حاجة فيها، إن إيش؟ أشيلها، عشان هيك بهمش أنا برضه في
+
+383
+00:29:35,820 --> 00:29:39,040
+مثال العلامات، بنروح وبنقول له، جدعًا، أنا معدلك يا فلان
+
+384
+00:29:39,040 --> 00:29:44,480
+أنا متأكد أنك أنت هتديه معدلك بدون ما تحسب المادة
+
+385
+00:29:44,480 --> 00:29:48,520
+هي، لأنها مش هي اللي بتعكس صورتك، نعم، يعني لو أجد مثلًا
+
+386
+00:29:48,520 --> 00:29:52,600
+إحنا بنعمل data mining على علاقة مثلًا التدخين
+
+387
+00:29:52,600 --> 00:29:53,620
+بالسرطان، تمام،
+
+388
+00:29:59,050 --> 00:30:03,330
+أكيد .. هي حق .. شوية .. شوية .. شوية، أنا قلت أن
+
+389
+00:3
+
+445
+00:35:08,330 --> 00:35:15,250
+إيش مصدرها؟ الـ sensor مصدر الحرارة مظبوط، ميزان
+
+446
+00:35:15,250 --> 00:35:21,590
+الحرارة، طَب الـ humidity كذلك فيه sensor بيقيس درجة
+
+447
+00:35:21,590 --> 00:35:28,340
+الرطوبة في الجو، طَب الـ outlook، الـ outlook human
+
+448
+00:35:28,340 --> 00:35:33,560
+human بيه، مظبوط، لازم الإنسان يشوف وهو اللي بيقدر
+
+449
+00:35:33,560 --> 00:35:35,960
+طبعاً هاي الـ data set بدها كمان الـ data عشان احنا
+
+450
+00:35:35,960 --> 00:35:40,140
+نحتاج التاريخ عشان تصير في عندي unique identifiers
+
+451
+00:35:40,140 --> 00:35:46,340
+لكل role، طيب نرجع للـ temperature، هل في مجال أنا ك
+
+452
+00:35:46,340 --> 00:35:51,960
+human أقدر أو أقرأ درجة الحرارة الحقيقية بدون أي
+
+453
+00:35:51,960 --> 00:35:57,190
+equipment؟ أمْفروغ منها سواء كان الـ equipment هذا
+
+454
+00:35:57,190 --> 00:36:00,950
+مشبوك على الحيط وأنا ببدأ أطلع فيه وأقرأ، آخد منه
+
+455
+00:36:00,950 --> 00:36:04,790
+درجة الحرارة، أو هذا الـ equipment مشبوك على
+
+456
+00:36:04,790 --> 00:36:07,930
+الـ laptop أو على الجهاز، والجهاز هو اللي بياخد منه
+
+457
+00:36:07,930 --> 00:36:12,870
+القراءة، ولا لأ؟ في الآخر، في الآخر هو أو الجهاز هذا
+
+458
+00:36:12,870 --> 00:36:17,530
+أو الـ sensor هذا قرأ القيمة الحقيقية الموجودة
+
+459
+00:36:17,530 --> 00:36:21,370
+وزودني فيها، ما عملهاش prediction، ما عملهاش
+
+460
+00:36:21,370 --> 00:36:28,700
+generation، مظبوط؟ تمام، نجي وكذلك في الـ Humidity
+
+461
+00:36:28,700 --> 00:36:32,940
+معناته أني الآن، هي في عندي equipment أو بين
+
+462
+00:36:32,940 --> 00:36:40,180
+جسين data تم إدخالها على الـ data set بشكل صناعي، بس
+
+463
+00:36:40,180 --> 00:36:44,560
+مش بشكل .. مش بذكاء صناعي، أنا قاعد بسألك
+
+464
+00:36:44,560 --> 00:36:51,880
+artificial data، data مصنعة أو data مصطنعة، تمام؟
+
+465
+00:36:51,880 --> 00:36:55,520
+ملاحظ .. ملاحظ الفرق؟ نيجي هلأ الـ equipment أو عفواً
+
+466
+00:36:55,520 --> 00:37:00,850
+للـ outlook، واحد قال okay يا دكتور، الـ outlook كمان
+
+467
+00:37:00,850 --> 00:37:03,110
+إيش اللي أنتَ عندك؟ قلت بدي أقول له والله هنا في عندي
+
+468
+00:37:03,110 --> 00:37:08,030
+إما الجو هيكون مشمس، أو بدي يكون غائم، أو غائم جزئياً
+
+469
+00:37:08,030 --> 00:37:15,470
+صحيح، cloudy أو sunny، partial cloudy و cloudy، طب ما
+
+470
+00:37:15,470 --> 00:37:19,230
+أنا بقدر أجيب كاميرا وأصلبها على السماء كده و
+
+471
+00:37:19,230 --> 00:37:26,170
+بتلتقط صورة وبتقول لي إيش الوضع، إيش الجو الآن، بينفع
+
+472
+00:37:26,170 --> 00:37:32,450
+صح؟ بينفع، بس الـ value هذه المدخلة الـ .. مين اللي
+
+473
+00:37:32,450 --> 00:37:38,850
+آخد decision بناء على الصورة، الـ AI، فصارت هذه
+
+474
+00:37:38,850 --> 00:37:46,510
+artificial data، هذه صارت artificial data، تخيل أنه
+
+475
+00:37:46,510 --> 00:37:51,830
+أنا في الـ data set تبعتي كان عندها ألف record
+
+476
+00:37:51,830 --> 00:37:56,560
+اشتغل عليهم الـ human، ألف record اشتغل عليهم الـ
+
+477
+00:37:56,560 --> 00:38:05,200
+human، لو أنا سألتك في الـ outlook قداش نسبة خطأه هو
+
+478
+00:38:05,200 --> 00:38:13,240
+بيقول الجو مشمس، غائم .. غائم جزئياً، Zero، لو أخذنا
+
+479
+00:38:13,240 --> 00:38:19,780
+أي إنسان سوي، طلعنا برا هيك في الفضاء، كيف الجو يا
+
+480
+00:38:19,780 --> 00:38:24,380
+فلان؟ الله ما شاء الله، الشمس اليوم مظبطة، ولا لأ؟ هو
+
+481
+00:38:24,380 --> 00:38:27,380
+عمل prediction؟ لأ، بينما الـ Artificial
+
+482
+00:38:27,380 --> 00:38:29,980
+Intelligence أو الـ Machine Learning أو النظام
+
+483
+00:38:29,980 --> 00:38:36,120
+اللي أنتَ عملته بالكاميرا، تنبأ بحالة الشمس أو الجو
+
+484
+00:38:36,120 --> 00:38:39,620
+بناءً على الصورة، إيش؟ طب تخيل إنه في اللحظة اللي
+
+485
+00:38:39,620 --> 00:38:44,300
+تُلتقط فيها الصورة كان فيه سحابة صيف، مارْجَة، إيش
+
+486
+00:38:44,300 --> 00:38:49,140
+هيقول لي؟ ملاحظ؟ فهنا صار في عندي prediction، هذه
+
+487
+00:38:49,140 --> 00:38:55,240
+Artificial Data، نيجي لموضوع الـ rain الآن بعد كل هذه
+
+488
+00:38:55,240 --> 00:38:59,200
+الـ data هذه مدخلة من خلال human أو من خلال أو
+
+489
+00:38:59,200 --> 00:39:03,420
+مدخلة تحت supervision of a human، تحت متابعة
+
+490
+00:39:03,420 --> 00:39:09,160
+ومراقبة الإنسان، يعني real data، نيجي لكمية اليوم
+
+491
+00:39:09,160 --> 00:39:15,000
+هذا كان ماطر أو غير ماطر، الآن مين اللي يكتب لي yes
+
+492
+00:39:15,000 --> 00:39:15,280
+و no
+
+493
+00:39:24,100 --> 00:39:29,260
+برضه في عندي حساس للمطر، لسة
+
+494
+00:39:29,260 --> 00:39:33,040
+أنا باتكلمش على تنبؤ، باتكلمش على تنبؤ، شوف في
+
+495
+00:39:33,040 --> 00:39:37,740
+اللحظة اللي أنت بتكتب فيها أو بتذكر كلمة يتنبأ
+
+496
+00:39:37,740 --> 00:39:43,180
+معناته Artificial Data، تمام؟
+
+497
+00:39:43,180 --> 00:39:48,240
+أنا قاعد باتكلم على Historical Data، Real Data الآن
+
+498
+00:39:48,240 --> 00:39:51,540
+هدول الـ ألف record كان الـ expert أو خبير الأرصاد
+
+499
+00:39:51,540 --> 00:39:58,370
+الجوية، بيشوف الجو وهو اللي بيسجل، الجو كان ماطر أو
+
+500
+00:39:58,370 --> 00:40:06,610
+لأ، بعد فترة من الزمن، يعني ألف قراءة على تسعين يوم
+
+501
+00:40:06,610 --> 00:40:10,290
+فترة الشتاء مثلاً، قداش بيطلعوا على كام سنة؟ جمع الـ
+
+502
+00:40:10,290 --> 00:40:16,590
+data هاي، ألف على تسعين يا شباب، حوالي عشر سنوات
+
+503
+00:40:16,590 --> 00:40:21,330
+تقريباً، تقريباً عشر سنوات، عشرة، ماشي الحال، على مدار
+
+504
+00:40:21,330 --> 00:40:26,910
+عشر سنوات هو بيجمع الـ result هاي، إجا واحد شاطر زي
+
+505
+00:40:26,910 --> 00:40:30,830
+كهيك، قال له إيش رأيك يا فلان، بناء على الـ data
+
+506
+00:40:30,830 --> 00:40:39,190
+اللي عندك، أبنيلك نظام .. نظام يتنبأ بحال الطقس، هل
+
+507
+00:40:39,190 --> 00:40:45,010
+الجو هيكون ماطر أو لأ؟ قال لك okay، زودك بالـ ألف
+
+508
+00:40:45,010 --> 00:40:50,130
+record، فدخلت على الـ data mining project، وصار الـ
+
+509
+00:40:50,130 --> 00:40:55,000
+mining project تبعك، لما تقوله درجة الحرارة كذا، الـ
+
+510
+00:40:55,000 --> 00:41:00,160
+Outlook كذا، الـ Humidity كذا، يرد عليك يقول لك هذا
+
+511
+00:41:00,160 --> 00:41:05,320
+الجو Rainy or not الآن، فصار الـ system بعد هيك هو
+
+512
+00:41:05,320 --> 00:41:08,040
+اللي يقول لك بناءً على الموضوع، يحدده أنتَ، المدخلات
+
+513
+00:41:08,040 --> 00:41:12,720
+من خلال الـ sensors والـ expert الموجود، أو موظف
+
+514
+00:41:12,720 --> 00:41:16,060
+الأرصاد الجوية، عشان يقيم الجو ويقول لك هذا اليوم بدي
+
+515
+00:41:16,060 --> 00:41:20,420
+يكون ماطر أو لا، وصارت الـ data set  فيها خمسة
+
+516
+00:41:20,420 --> 00:41:30,100
+تلاف record، يعني قداش ضاف عليهم؟ أربعة آلاف، بس
+
+517
+00:41:30,100 --> 00:41:36,220
+الأربعة آلاف دول، إيش وصلنا فوق؟ Artificial Data، إذا
+
+518
+00:41:36,220 --> 00:41:41,100
+الـ data هذه اتاخدت على علّاتها، الـ data set كلها
+
+519
+00:41:41,100 --> 00:41:43,460
+تُرفض، ليش؟
+
+520
+00:41:45,190 --> 00:41:49,830
+مش reliable، ما أقدرش أثق فيها، لكن لو كان موظف
+
+521
+00:41:49,830 --> 00:41:55,430
+الأرصاد أو expert هذا بيختبر النظام باستمرار، بين
+
+522
+00:41:55,430 --> 00:42:00,430
+قوسين، كل مثلاً مع نهاية كل أسبوع هو بيسجل ملاحظاته
+
+523
+00:42:00,430 --> 00:42:04,130
+على ورقته، ومع نهاية كل أسبوع بياخد عينتين أو تلاتة
+
+524
+00:42:04,130 --> 00:42:08,670
+عشوائيات وبيفحص الـ result تبعت الـ system أو بيشيك
+
+525
+00:42:08,670 --> 00:42:12,870
+عليها مع كل يوم بيومه، وبيتأكد إن الـ data هذه صحيحة
+
+526
+00:42:12,870 --> 00:42:18,880
+أو لأ، بتصير الـ data مش artificial، بتبطل artificial
+
+527
+00:42:18,880 --> 00:42:26,680
+لأن الناس اللي أقرت وجودها في الـ system من الـ
+
+528
+00:42:26,680 --> 00:42:30,980
+human، وبالتالي أصبحت جزء من الـ data اللي موجودة
+
+529
+00:42:30,980 --> 00:42:35,200
+لكن عادةً للأسف، بعد ما بيصير في عند ناس الـ system
+
+530
+00:42:35,200 --> 00:42:39,640
+الناس بتركن وبتبطل التّبع، السؤال اللي بيطرح نفسه
+
+531
+00:42:39,640 --> 00:42:45,410
+أنا لما بدي أجي أشتغل لاحقاً على أي منهم أشتغل؟ على
+
+532
+00:42:45,410 --> 00:42:49,890
+الـ 1000، أسأل نفسك، إيش الإضافة؟ جابني أفكر، تشتغل
+
+533
+00:42:49,890 --> 00:42:53,230
+إيش الإضافة اللي أنا بدي أقدم له إياها؟ إذا الـ
+
+534
+00:42:53,230 --> 00:42:56,870
+system اللي عنده بيعمل prediction لحالة المطر، نعم
+
+535
+00:42:56,870 --> 00:43:05,130
+أو لا بنسبة 100% على مدار السنوات الماضية كلها،
+
+536
+00:43:05,130 --> 00:43:08,670
+الأربع سنوات الماضية أو الأربعين، إيش ضاف اللي
+
+537
+00:43:08,670 --> 00:43:11,610
+أنت؟ ولا شيء، وبالتالي أنت مش لازم تشتغل في المجال
+
+538
+00:43:11,610 --> 00:43:16,230
+هذا، لأن الـ domain هذا أو المنطقة هذه closed،
+
+539
+00:43:16,230 --> 00:43:20,010
+شبعت، تمام يا شباب؟ وبالتالي لما أنا باتكلم على
+
+540
+00:43:20,010 --> 00:43:27,550
+artificial data، إن الـ data كان القرار فيها يعود
+
+541
+00:43:27,550 --> 00:43:33,850
+أو لبنائها لآلة، تمام؟ والآلة هذه unreliable، مش
+
+542
+00:43:33,850 --> 00:43:38,080
+موثوق فيها، لكن من اليوم كلنا بنعتمد على الـ sensors، ولا لأ؟
+
+543
+00:43:38,080 --> 00:43:41,700
+بس الـ sensors ما بتاخدش قرار، الـ sensor بتديني value
+
+544
+00:43:41,700 --> 00:43:45,280
+بتعمل collection، والقرار برجع للـ human أو للـ
+
+545
+00:43:45,280 --> 00:43:52,440
+system الموجود، تمام يا جماعة الخير؟ واضحة الأمور؟
+
+546
+00:43:52,440 --> 00:43:57,700
+كذلك، من الـ generic question المفروض اللي أنا
+
+547
+00:43:57,700 --> 00:44:03,780
+أطرحها على نفسي، هل في أي unique identifier للـ rows؟
+
+548
+00:44:06,150 --> 00:44:09,830
+يعني الصفوف اللي عندي هذه، فيه لها معرف أساسي
+
+549
+00:44:09,830 --> 00:44:12,930
+primary
+
+550
+00:44:12,930 --> 00:44:17,050
+key، يعني بِينْجُوْ سين، في primary key، الأصل يكون في الـ
+
+551
+00:44:17,050 --> 00:44:22,430
+database، هاي في عند مين؟ الـ date زي ما كتبنا هنا
+
+552
+00:44:22,430 --> 00:44:30,290
+للطالب في المدرسة، رقم الهوية للطالب في وزارة الـ ..
+
+553
+00:44:30,290 --> 00:44:34,390
+للولد في وزارة الصحة، رقم الهوية، طب ليش أنا محتاج
+
+554
+00:44:34,390 --> 00:44:39,150
+الـ Identifier هذا؟ عشان شغلتين، الأولى .. الأولى
+
+555
+00:44:39,150 --> 00:44:45,330
+عشان أتأكد إن الـ data هذه مش duplicate، الـ data
+
+556
+00:44:45,330 --> 00:44:50,990
+يعني قد تتشابه الظروف، يجيني يوم درجة الحرارة سبعة
+
+557
+00:44:50,990 --> 00:44:59,800
+و cloudy، تمام؟ ولو humidity ومافيش مطر، ممكن يجيني
+
+558
+00:44:59,800 --> 00:45:03,160
+يومين في السنة زي بعض زي هيك، لكن إيش اللي بيضمن لي
+
+559
+00:45:03,160 --> 00:45:08,560
+إن هدول rows يومين مختلفين؟ التاريخ اللي هو الـ
+
+560
+00:45:08,560 --> 00:45:13,500
+identifier، الـ field اللي موجود عندها، الشغل التاني
+
+561
+00:45:13,500 --> 00:45:17,080
+اللي بتلزمني، ليش أنا محتاج الـ identifier؟ لما بحتاج
+
+562
+00:45:17,080 --> 00:45:21,740
+أعمل integration، عشان أعمل integration، بدي أعمل
+
+563
+00:45:21,740 --> 00:45:25,550
+integration between two sources، عندي رقم الطالب في
+
+564
+00:45:25,550 --> 00:45:28,190
+المدرسة، رقم .. عفواً، رقم هوية الطالب في المدرسة
+
+565
+00:45:28,190 --> 00:45:32,410
+وعندي رقم هويته في وزارة الصحة، في التربية والتعليم
+
+566
+00:45:32,410 --> 00:45:36,450
+ووزارة الصحة، عشان باعتمادي على رقم الهوية بقدر
+
+567
+00:45:36,450 --> 00:45:39,310
+أعمل match وأعمل integration ما بين الـ two
+
+568
+00:45:39,310 --> 00:45:44,550
+records اللي موجودين هنا، ولا لأ؟ لو ما فيش عندي الـ
+
+569
+00:45:44,550 --> 00:45:49,230
+identifier هذا أو المعرف هذا، مش هقدر أجمع البيانات
+
+570
+00:45:49,230 --> 00:45:51,410
+صح؟ وبالتالي بيانات بيكون فيها مشكلة
+
+571
+00:45:54,130 --> 00:45:59,570
+الـ unique identifier فعلياً هو unique، موجود بـ
+
+572
+00:45:59,570 --> 00:46:03,350
+unique، و لا .. لو تكرر .. ممكن يصير فيه تكرار، لازم
+
+573
+00:46:03,350 --> 00:46:09,530
+يكون unique، طب لو صار فيه تكرار شو يعني؟ يعني بهَمْشْ
+
+574
+00:46:09,530 --> 00:46:12,130
+.. الآن .. هذه الفكرة .. هذا الأسئلة بتطرح يعني
+
+575
+00:46:12,130 --> 00:46:16,110
+الآن، بينفع .. هيك هتلاقي، أقول بينفع أنا ألاقي طالب
+
+576
+00:46:16,110 --> 00:46:18,990
+في المدرسة أو طالبين، اثنين اثنين في المدرسة اللي
+
+577
+00:46:18,990 --> 00:46:23,930
+هم نفس الرقم؟ لأ، الآن جيت نفس رقم الهوية وجيت
+
+578
+00:46:23,930 --> 00:46:28,710
+واحد تسعين والتاني خمسة وثمانين، لأ، في مشكلة هان،
+
+579
+00:46:28,710 --> 00:46:32,510
+بدي أحلها، فعشان هيك كان لازم أفهم إن المفروض الـ
+
+580
+00:46:32,510 --> 00:46:35,070
+identifier اللي يكون unique فعلياً، هل هو actually
+
+581
+00:46:35,070 --> 00:46:39,830
+unique؟ ولو جيت فيه تكرار، شو يعني التكرار هذا؟
+
+582
+00:46:39,830 --> 00:46:43,130
+يعني على سبيل المثال، على سبيل المثال، نيجي نقول
+
+583
+00:46:43,130 --> 00:46:47,690
+والله الطالب، رقم هوية الطالب، مثلاً هيك أنا مش
+
+584
+00:46:47,690 --> 00:46:53,530
+قولت، قولت رقم هوية الطالب، تمام؟ لكن هل هو كافي
+
+585
+00:46:53,530 --> 00:46:56,810
+فعلياً يكون كـ unique identifier في سجله المدرسي؟
+
+586
+00:46:56,810 --> 00:47:00,730
+قال لك لأ يا عمي، رقم الطالب والمستوى الدراسي، هدول
+
+587
+00:47:00,730 --> 00:47:03,990
+مع بعض، لأن الطالب هذا موجود عندنا في المدرسة لمدة
+
+588
+00:47:03,990 --> 00:47:11,630
+عشر سنوات، وعلى كل سنة فيه إله record جديد، اه ..
+
+589
+00:47:11,630 --> 00:47:16,610
+معناته صار عند الـ key هذا مش بس رقم الهوية، صار في
+
+590
+00:47:16,610 --> 00:47:22,680
+عنده رقم الهوية والمستوى تبع الطالب، بينما في
+
+591
+00:47:22,680 --> 00:47:27,900
+الوزارة الصحية فقط رقم الهوية، وبالتالي أنا بدي
+
+592
+00:47:27,900 --> 00:47:31,620
+أنتبه وأفهم شو يعني لو صار فيه تكرار أو القيمة
+
+593
+00:47:31,620 --> 00:47:36,320
+المفروض اللي تكون مكررة، لو .. لو ظهرت بتكرار، ليش
+
+594
+00:47:36,320 --> 00:47:42,660
+ظهرت؟ حكينا في موضوع الـ Join، إنه فعلياً لو كان
+
+595
+00:47:42,660 --> 00:47:46,680
+في عندي Two Data Sets والمفروض أنا بدي أروح أجمعهم
+
+596
+00:47:46,680 --> 00:47:50,200
+مع بعض، لازم يكون في عندي Unique Identifier، طيب
+
+597
+00:47:51,090 --> 00:47:55,330
+أجيب طالب اللي له سجل في المدرسة وما أجيب له سجل
+
+598
+00:47:55,330 --> 00:48:00,370
+في وزارة التربية أو في الصحة، شو يعني؟ شو بدي أساوي
+
+599
+00:48:00,370 --> 00:48:03,370
+في الـ record هذا؟ هل ممكن أروح أعبي زي ما يقول
+
+600
+00:48:03,370 --> 00:48:09,830
+محمد هان؟ اه، ولا أروح أحذف الـ record كله؟ كمان؟
+
+601
+00:48:09,830 --> 00:48:13,240
+طيب، الشغل التاني، okay، البيانات اللي أنا أخدتها من
+
+602
+00:48:13,240 --> 00:48:16,120
+وزارة التربية والتعليم لطلاب المرحلة الإبتدائية أو
+
+603
+00:48:16,120 --> 00:48:19,560
+المرحلة الأساسية كانت عشرَة آلاف record، بناء على رقم
+
+604
+00:48:19,560 --> 00:48:24,360
+الهوية، ولما روحت على وزارة الصحة، راحت ادّتني إثني عشر
+
+605
+00:48:24,360 --> 00:48:29,240
+.. إثني عشر ألف record، اتدّتني .. بالضبط، فلازم أنا
+
+606
+00:48:29,240 --> 00:48:32,880
+أكون فاهم أنه فيه ناس ممكن تكون إيش؟ ما دخلتش مدرسة
+
+607
+00:48:32,880 --> 00:48:38,060
+وهذول غالباً عددهم ألفين، وروحت لما بدأت أدوّر لأ
+
+608
+00:48:38,060 --> 00:48:41,920
+يا عم، اللي جيتُه أنه فيه كمان بيانات، في بيانات كمان
+
+609
+00:48:41,920 --> 00:48:47,420
+أنه فعلياً مش بس الـ ألف اللي مش رايح المدرسة، والـ ألف
+
+610
+00:48:47,420 --> 00:48:50,540
+التاني ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+611
+00:48:50,540 --> 00:48:50,720
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+612
+00:48:50,720 --> 00:48:50,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+613
+00:48:50,840 --> 00:48:51,400
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+614
+00:48:51,400 --> 00:48:51,
+
+667
+00:52:50,920 --> 00:52:54,800
+التغذية الفلانية فكان بيأثر okay، بصير هذا بتفرج بس
+
+668
+00:52:54,800 --> 00:52:59,280
+بيقولوا هاي دراسة بأثر رجع عشان تعرف ليش .. إيش
+
+669
+00:52:59,280 --> 00:53:03,480
+اللي كان يصير هناك دراسة تحليلية تمام، أكثر منها
+
+670
+00:53:03,480 --> 00:53:05,580
+دراسة تنبؤية، بيش بالمستقبل
+
+671
+00:53:08,500 --> 00:53:11,720
+ممكن أصير أدور على تاريخ المرض هذا، بس هي مش بس في
+
+672
+00:53:11,720 --> 00:53:15,560
+المرض كمان، حتى في الحروب وفي الاقتصاد وفي السياسة
+
+673
+00:53:15,560 --> 00:53:19,440
+ممكن أنا أدرس أو أعمل شغلات كتيرة، لكن زي ما قلتلك
+
+674
+00:53:19,440 --> 00:53:25,620
+هذه عادة ما بنسميها احنا دراسات تحليلية، تمام؟ أكثر
+
+675
+00:53:25,620 --> 00:53:32,980
+منها من أجل التنبؤ لاحقا، آخر سؤال تقريبا هنا في ال
+
+676
+00:53:32,980 --> 00:53:37,420
+question أو الـ general question، مين هو الـ expert؟
+
+677
+00:53:38,090 --> 00:53:42,350
+في الـ domain، إيش
+
+678
+00:53:42,350 --> 00:53:45,170
+الـ data expert؟ who is the data expert and the
+
+679
+00:53:45,170 --> 00:53:50,770
+domain expert؟ الآن لما أنت روحت على وزارة الصحة
+
+680
+00:53:50,770 --> 00:53:58,270
+وطلبت أعينات للـ CT ولا صورة مقطعية أو كده، حضرتك مش
+
+681
+00:53:58,270 --> 00:54:03,410
+خبير، وبنفعش تفتي تقول الصورة هذه مصاب وهذا غير
+
+682
+00:54:03,410 --> 00:54:09,360
+مصاب، هذا مصاب وهذا سليم، بنفع؟ مافعش بدك .. بدك
+
+683
+00:54:09,360 --> 00:54:14,820
+اتنين يكونوا معاك expert في التعامل مع الـ data، لبن
+
+684
+00:54:14,820 --> 00:54:18,580
+النوع هذا، وهلا يتحارجيك أنواع البيانات اللي فعلا
+
+685
+00:54:18,580 --> 00:54:21,540
+احنا هنشتغل عليها مع الـ course هذا تبعنا، و بدك
+
+686
+00:54:21,540 --> 00:54:24,280
+expert في الـ domain، عشان الـ expert في الـ domain
+
+687
+00:54:24,280 --> 00:54:28,800
+دوره يقيملي .. يقيم أداء الـ system اللي هاطلعه
+
+688
+00:54:28,800 --> 00:54:31,640
+يقيم الـ knowledge اللي انا بده أطلعها، يقول لأ يا
+
+689
+00:54:31,640 --> 00:54:35,220
+عم لأ في مشكلة في غلط في الـ system هذه، و هذه، و هذه
+
+690
+00:54:35,220 --> 00:54:40,700
+الـ system شخصهم غلط، تمام؟ فبدنا نحاول نعيد تدريب
+
+691
+00:54:40,700 --> 00:54:44,480
+الـ system مرة تانية، بزيادة الـ data أو الأخرين الـ
+
+692
+00:54:44,480 --> 00:54:49,240
+expert في الـ data اللي انت بدأت تشتغل عليها، برأيك
+
+693
+00:54:49,240 --> 00:54:53,740
+في فهم البيانات، ممكن هذا مايتوفرش، ويتوفر التاني
+
+694
+00:54:55,470 --> 00:54:59,470
+تمام؟ عادة في عليك جهد كبير في فهم البيانات عشان
+
+695
+00:54:59,470 --> 00:55:03,510
+هيك بقولك كل ما كان في عندك expert في الـ data اللي
+
+696
+00:55:03,510 --> 00:55:06,830
+انت بتشتغل فيها مهم، وكل ما كان في عندك expert في
+
+697
+00:55:06,830 --> 00:55:09,330
+الـ domain أهم، لأن هو ده بده يعمل evaluation معاك
+
+698
+00:55:09,330 --> 00:55:17,650
+لاحقا، لكن برضه هذه تكلفة عالية، بعد
+
+699
+00:55:17,650 --> 00:55:23,530
+المقدمة هاي، بديك تاخد دقيقة من الآن تفكر أن الـ
+
+700
+00:55:23,530 --> 00:55:35,840
+data اللي عندنا هنا كم نوع؟ الـ data كم نوع؟ لسه
+
+701
+00:55:35,840 --> 00:55:39,520
+في الـ data preparation، في الـ data collection قبل
+
+702
+00:55:39,520 --> 00:55:43,460
+ما أقول بسم الله، المفروض في الـ mining أبدأ إيش؟
+
+703
+00:55:43,460 --> 00:55:47,300
+أسأل نفس الأسئلة هذه عشان أقدر أفهم الـ data، لأن
+
+704
+00:55:47,300 --> 00:55:49,540
+الموجودات كلهم تحت عنوان الـ data understanding
+
+705
+00:55:52,930 --> 00:55:55,650
+فكر بضيقك، يا جدعان، أنواع البيانات المختلفة اللي
+
+706
+00:55:55,650 --> 00:55:59,910
+عندنا، أنواع
+
+707
+00:55:59,910 --> 00:56:05,710
+البيانات، أربعة أنواع، dynamic structured، وهي الـ data
+
+708
+00:56:05,710 --> 00:56:10,950
+الـ organized in tables أو relation، ده تم رتبه
+
+709
+00:56:10,950 --> 00:56:15,650
+ولمّا بتكلم structured البيانات، مش هتطلع عن النمط
+
+710
+00:56:15,650 --> 00:56:16,010
+هذا
+
+711
+00:56:18,950 --> 00:56:24,030
+الـ schema معينة، السؤال بيطرح نفسه، هل الـ json
+
+712
+00:56:24,030 --> 00:56:30,490
+object structured؟ لأ، هناك ناس قالت هنا لأ، مين
+
+713
+00:56:30,490 --> 00:56:36,290
+بيقول أن الـ json object structured data؟ ممكن يكون
+
+714
+00:56:36,290 --> 00:56:40,390
+ممكن أحولها، وممكن أحول الـ structure لـ json
+
+715
+00:56:40,390 --> 00:56:44,430
+structured
+
+716
+00:56:44,430 --> 00:56:49,490
+بس مش ملزم، يعني مانفهاش زيك مطلقا بدون قيود، بين
+
+717
+00:56:49,490 --> 00:56:52,210
+جسين الجيسون object .. في حد الشباب بيعرفش إيش
+
+718
+00:56:52,210 --> 00:56:57,170
+يعني جيسون object؟ في حد بيعرفش إيش يعني جيسون
+
+719
+00:56:57,170 --> 00:57:06,170
+object؟ آه يا ياسر، ليوسف عفوا، إيش يعني جيسون؟
+
+720
+00:57:06,170 --> 00:57:14,420
+نظام ترميز للـ data، آه محمد، json object، الآن الـ
+
+721
+00:57:14,420 --> 00:57:17,760
+json object هي عبارة عن، أول شي، json اختصار لـ
+
+722
+00:57:17,760 --> 00:57:22,540
+object، أو لـ java عفوا، notation object java
+
+723
+00:57:22,540 --> 00:57:26,120
+notation، ماهي javascript notation object، okay
+
+724
+00:57:26,120 --> 00:57:33,960
+javascript notation object، object notation، عشان
+
+725
+00:57:33,960 --> 00:57:34,740
+ترتيب الحروف
+
+726
+00:57:45,890 --> 00:57:52,070
+Json، عشان تتضحلك الصورة، افترض المثال التالي، عند الـ
+
+727
+00:57:52,070 --> 00:58:02,890
+student ID 123، name Hashem
+
+728
+00:58:02,890 --> 00:58:06,250
+نجلنا
+
+729
+00:58:06,250 --> 00:58:11,730
+معدلك يا Hashem، كمل 95
+
+730
+00:58:13,380 --> 00:58:19,340
+يا فرحتك يا أستاذنا، خمسة وتسعين، الآن الـ json أو الـ
+
+731
+00:58:19,340 --> 00:58:23,120
+javascript، الـ json object، بياخد الشكل هذا، هو عبارة
+
+732
+00:58:23,120 --> 00:58:28,200
+عن مجموعة من الـ key و الـ values، مجموعة من الـ key و
+
+733
+00:58:28,200 --> 00:58:32,980
+الـ values، الآن الـ json object هو عبارة عن semi
+
+734
+00:58:32,980 --> 00:58:33,600
+structured
+
+735
+00:58:41,340 --> 00:58:45,740
+ليش semi-structured؟ لأنه ممكن أنا قاعد يقوله، عند
+
+736
+00:58:45,740 --> 00:58:54,220
+الـ student name أو الـ name، سامح
+
+737
+00:58:54,220 --> 00:59:00,460
+الـ ID 124
+
+738
+00:59:00,460 --> 00:59:07,490
+وما عنديش الـ GPA، لاحظ اختلف في الترتيب؟ تمام؟ وما فيش
+
+739
+00:59:07,490 --> 00:59:12,530
+عندياش الـ GPA، وعدد الـ .. في عدد الـ .. الـ bears
+
+740
+00:59:12,530 --> 00:59:16,350
+عدد الأزواج مختلف الموجودة، لأن كل واحد بنسميه احنا
+
+741
+00:59:16,350 --> 00:59:21,270
+key و value، بنسميه bear، عدد الأزواج مختلف، وبالتالي
+
+742
+00:59:21,270 --> 00:59:26,670
+هو structured لأنه مكون من bears، but semi
+
+743
+00:59:26,670 --> 00:59:31,250
+-structured، لأنه عدد الـ bears وترتيبهم مش ثابت
+
+744
+00:59:32,450 --> 00:59:35,950
+وعادة ما بينعملش عليه validation إلا غير manual
+
+745
+00:59:35,950 --> 00:59:44,670
+تمام؟ لكن تخيل في الجدول، الجدول لما بيجيك جدول أو
+
+746
+00:59:44,670 --> 00:59:48,760
+باجي بقولك هاي في instance من الجدول الفلاني، ما فيش
+
+747
+00:59:48,760 --> 00:59:51,820
+مجال، يعني العمود الأول، يعني العمود الأول، العمود
+
+748
+00:59:51,820 --> 00:59:55,180
+التالت، يعني التالت، الخامس، يعني الخامس، ممكن يكون
+
+749
+00:59:55,180 --> 00:59:58,000
+فيه missing value، ممكن يكون مكتوب لـ null ولا لأ
+
+750
+00:59:58,000 --> 01:00:01,040
+وبالتالي، هذه الفرق بين الـ semi-structured و الـ
+
+751
+01:00:01,040 --> 01:00:05,660
+unstructured، الـ data unstructured هي عبارة عن كل
+
+752
+01:00:05,660 --> 01:00:09,740
+البيانات اللي فيها أو الـ files اللي بتحتوي على
+
+753
+01:00:09,740 --> 01:00:14,340
+binary، سواء كانت text، audio، video، image، image
+
+754
+01:00:14,340 --> 01:00:24,310
+unstructured، الـ image unstructured؟ الـ matrix من
+
+755
+01:00:24,310 --> 01:00:31,830
+كام بعد؟ إذا كنت بتكلم black and white من بعدين
+
+756
+01:00:31,830 --> 01:00:38,610
+إذا كنت بتكلم grey scale، بتكلم من تلاتة، بصرف بتكلم
+
+757
+01:00:38,610 --> 01:00:46,030
+RGB، بتكلم على أربعة، أربعة dimension، مصبوط؟ طب أتكلم
+
+758
+01:00:46,030 --> 01:00:51,910
+على Full HD؟ هذا لسه جدعان، حجم المصفوفة؟ بدي أرجع
+
+759
+01:00:51,910 --> 01:00:55,250
+معاك للبداية خالص، الـ Colored Image أو عفوا الـ
+
+760
+01:00:55,250 --> 01:01:00,850
+Black and White Image، جدعان حجمها؟ 2×2؟ 10×10؟ هو
+
+761
+01:01:00,850 --> 01:01:04,490
+Two Dimension؟ 2D؟ مختلفتين، حجم الصورة أو عدد
+
+762
+01:01:04,490 --> 01:01:09,890
+الـ Pixels، جدعان؟ فهذا unstructured، يعني اقصد إنه
+
+763
+01:01:09,890 --> 01:01:15,730
+مافيش شغلة ثابتة أسقطها على كل الـ Data Type، هايل، لكن
+
+764
+01:01:15,730 --> 01:01:20,410
+لما باجي بتكلم أنا جدول الطلاب، جدول الطلاب، جدول
+
+765
+01:01:20,410 --> 01:01:23,450
+الطلاب، ما فيش مجال، بدي أكون كل البيانات اللي موجودة
+
+766
+01:01:23,450 --> 01:01:28,050
+فيه، كذلك في عندي التصنيفين التانين اللي هي الـ
+
+767
+01:01:28,050 --> 01:01:33,690
+Dynamic، وفي عندي الـ Static، في عندي Dynamic وعندي
+
+768
+01:01:33,690 --> 01:01:38,670
+Static، الـ Dynamic هي عبارة عن الـ data اللي بتتغير
+
+769
+01:01:38,670 --> 01:01:44,290
+باستمرار، الـ content تبعتها بتتغير باستمرار، الصورة
+
+770
+01:01:44,290 --> 01:01:49,140
+Dynamic يا شباب، الـ Audio Dynamic، تسجيل المحاضرة
+
+771
+01:01:49,140 --> 01:01:53,720
+تبعتنا هذا Dynamic؟ لأ، لأنه خلاص الملف، متى ما اتصدر
+
+772
+01:01:53,720 --> 01:02:00,820
+الملف، هيبقى الملف كما هو، لو شهدناه مليون مرة هيبقى
+
+773
+01:02:00,820 --> 01:02:06,300
+ثابت، مش هيتغير، حسب جودة الـ Net، ماشي الحال، لكن
+
+774
+01:02:06,300 --> 01:02:12,080
+تخيل ملفات الـ word أو ملفات الـ text اللي عندك أو
+
+775
+01:02:12,080 --> 01:02:15,360
+الـ Text المحطوط على الـ Blogs أو على الشبكات
+
+776
+01:02:15,360 --> 01:02:20,560
+التواصل الإجتماعي، Dynamic ولا Static؟ Dynamic، بين
+
+777
+01:02:20,560 --> 01:02:24,720
+كل لحظة والتانية، ممكن فلان حط Post حذفه، لأ، عدل
+
+778
+01:02:24,720 --> 01:02:28,420
+على الـ Post اللي أضافه، أضاف Comment جديدة، مصبوط؟
+
+779
+01:02:28,420 --> 01:02:31,480
+بس هاي، لأ كمان الـ Financial، الـ Time Series Data
+
+780
+01:02:31,480 --> 01:02:36,280
+الـ Stock Market Data، هذه كل دقيقة أو كل ثانية
+
+781
+01:02:36,280 --> 01:02:39,520
+ممكن تصير عليه إيش Update، فبسميها Dynamic Data
+
+782
+01:02:39,520 --> 01:02:44,570
+وين ما بيصير فيه تغيير frequently، فبسميها
+
+783
+01:02:44,570 --> 01:02:49,110
+dynamic، و الـ static data عكسها تماما، اللي هي في الـ
+
+784
+01:02:49,110 --> 01:02:52,950
+images و الـ audio و الـ video إلى آخرها، هذه
+
+785
+01:02:52,950 --> 01:02:56,810
+المربعات اللي احنا شوفناها فعليا في المقدمة في
+
+786
+01:02:56,810 --> 01:03:01,350
+اللقاء الأول، هي أنواع البيانات طبعا، وعلاقتها مع
+
+787
+01:03:01,350 --> 01:03:04,710
+بعض، ممكن يكون في عندي structured و dynamic، وفي
+
+788
+01:03:04,710 --> 01:03:08,540
+عندي unstructured و Dynamic، ممكن يكون في عندي
+
+789
+01:03:08,540 --> 01:03:12,880
+Structured و Static، وفي عندي Structured و
+
+790
+01:03:12,880 --> 01:03:16,440
+Unstructured و Static، احنا في الـ data mining في الـ
+
+791
+01:03:16,440 --> 01:03:22,720
+course هذا، هنشتغل وين؟ Structured و Static، هان
+
+792
+01:03:22,720 --> 01:03:27,880
+ليش؟ لأنه أسهل، وأنا لسه عم ببدأ، بدي أتعلم كيف
+
+793
+01:03:27,880 --> 01:03:31,020
+بدي أتعامل مع الـ data، لأنه يا جماعة الخير، أنا هاخد
+
+794
+01:03:31,020 --> 01:03:35,470
+algorithm، الـ machine learning، بده يبني خبرة، تمام؟
+
+795
+01:03:35,470 --> 01:03:37,970
+عشان ياخد decision أو يديني معرفة بناءً على الـ
+
+796
+01:03:37,970 --> 01:03:43,290
+data، طب الـ data لو بدها تتغير باستمرار، معناته أنا
+
+797
+01:03:43,290 --> 01:03:47,950
+بحاجة أن الـ knowledge هذه اللي بدها تتصدر، بدأ
+
+798
+01:03:47,950 --> 01:03:50,830
+باستمرار، وعمليات الـ learning في الـ machine
+
+799
+01:03:50,830 --> 01:03:54,710
+learning مختلفة، في batch وفي online، وتقنيات هذه
+
+800
+01:03:54,710 --> 01:03:59,830
+غير عن هذه، والـ performance تبعت هذه غير عن هذه
+
+801
+01:03:59,830 --> 01:04:03,530
+فاحنا الآن لسه بدنا نتعلم data mining، فأنسب حاجة
+
+802
+01:04:03,530 --> 01:04:08,120
+إلنا وين؟ أتعلم مع مين؟ مع الـ Static Data اللي
+
+803
+01:04:08,120 --> 01:04:11,480
+عادة بتكون ناتج الـ Business Intelligence Systems
+
+804
+01:04:11,480 --> 01:04:15,040
+أو في الـ Data Warehousing، يعني بين جثتين الـ Data
+
+805
+01:04:15,040 --> 01:04:20,500
+Structured و Static، ليش الـ ERP هذا Structured؟
+
+806
+01:04:20,500 --> 01:04:25,480
+كيف كان؟ وين؟ هذه الـ ERP اختصار للـ Environmental
+
+807
+01:04:27,730 --> 01:04:31,450
+لأ لأ، فإنها علاقة بالبيئة، ففي الآخر لما أنا بدأ
+
+808
+01:04:31,450 --> 01:04:36,710
+أتكلم في الـ .. في الـ system، إذا بدك الـ .. الـ ..
+
+809
+01:04:36,710 --> 01:04:39,650
+environmental resource management، مالهاش .. مالهاش
+
+810
+01:04:39,650 --> 01:04:43,830
+داخل، يعني فبالبيئة هي dynamic، كل فكرة بتتغير
+
+811
+01:04:43,830 --> 01:04:49,910
+الشيء؟ الـ business intelligence، آه، الآن هل كل شيء
+
+812
+01:04:49,910 --> 01:04:53,470
+هيتغير؟ الـ rule اللي انبنت يا صاحبي ثابتة، بس
+
+813
+01:04:53,470 --> 01:04:58,220
+النتائج لازم تتغير، مين قال إنها بتتغير؟ الـ rule
+
+814
+01:04:58,220 --> 01:05:02,100
+الآن إذا الـ rule بيقول واحد زائد واحد يساوي تلاتة
+
+815
+01:05:02,100 --> 01:05:08,080
+فالنتائج تبع الـ system هذا تلاتة، كل ما تجي input
+
+816
+01:05:08,080 --> 01:05:14,280
+واحد وواحد، مش هيتغير، مصبوط؟ إلا لو أنا روحت قعدت
+
+817
+01:05:14,280 --> 01:05:19,250
+تعليمه، قعدت تعليمه، في الآخر static، ليش؟ لأنه
+
+818
+01:05:19,250 --> 01:05:21,530
+عبارة كمان مرة، شباب، في الـ business intelligence
+
+819
+01:05:21,530 --> 01:05:24,750
+أنا عندي عبارة عن مجموعة من الـ rules اللي انبنت
+
+820
+01:05:24,750 --> 01:05:30,350
+بناء على الـ knowledge السابقة، هضلني أستخدمها لحد
+
+821
+01:05:30,350 --> 01:05:33,110
+ما يصير في عندي knowledge جديدة، وهذه لن تكون إلا
+
+822
+01:05:33,110 --> 01:05:36,410
+في واحد من اتنين، إما أعمل retraining أو إعادة
+
+823
+01:05:36,410 --> 01:05:41,330
+تعليم للـ model تبعي أو الـ system تبعي، يكون بتعلم
+
+824
+01:05:41,330 --> 01:05:44,550
+لوحده، self learning model، نعم
+
+825
+01:05:47,450 --> 01:05:52,730
+اه، إيش .. إيش نقحة؟ الآن المؤمن بيسأل الـ data
+
+826
+01:05:52,730 --> 01:05:56,250
+اللي collecting by web scraper، اللي .. اللي خلانا
+
+827
+01:05:56,250 --> 01:06:01,150
+نقول المتجمعين، أو .. اللي إيش بيسموه متصيدين؟ لأ
+
+828
+01:06:01,150 --> 01:06:04,390
+مش كلها ضد القانون، في مثلا الـ Twitter بتزودك ببعض
+
+829
+01:06:04,390 --> 01:06:07,830
+الـ .. الـ APIs اللي تبدأ تتجرد، فكلها .. في بعضها
+
+830
+01:06:07,830 --> 01:06:10,610
+legal وفي illegal، مش قضيتنا الآن، لكن السؤال اللي
+
+831
+01:06:10,610 --> 01:06:15,130
+بيطرح نفسه، إيش البيانات اللي أنا باخدها منه؟ إذا
+
+832
+01:06:15,130 --> 01:06:20,650
+أنا باخد text، فباخد unstructured data، طبعا أخدت الـ
+
+833
+01:06:20,650 --> 01:06:24,330
+data set، الكوربوس هذه، ورميتها عندي على جهازي، و
+
+834
+01:06:24,330 --> 01:06:28,530
+علمت النظام أول مرة، ورجعت علمته بعد شهرين على نفس
+
+835
+01:06:28,530 --> 01:06:32,730
+الـ data set، وعلمته بعد تلت أشهر، هذه أصبحت في نطاق
+
+836
+01:06:32,730 --> 01:06:38,770
+.. في نطاق الـ static data، ما تغيرش جديد عندي، تمام؟
+
+837
+01:06:38,770 --> 01:06:43,630
+لكن لو هذا الـ document مع كل عملية learning أو بين
+
+838
+01:06:43,630 --> 01:06:46,310
+كل فترة والتانية بيصير عليه تغيير، حتى لو كان عندي
+
+839
+01:06:46,310 --> 01:06:50,350
+على جهازي، هذا بسميه dynamic، تمام
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..b94fc7a42874e68db15393b0e13d0919e5f78aa8
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dY2Slj6BExM_raw.srt
@@ -0,0 +1,3476 @@
+1
+00:00:05,010 --> 00:00:07,150
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,150 --> 00:00:10,630
+اليوم إن شاء الله تعالى هنبدأ بالفعل بالفصل التاني
+
+3
+00:00:10,630 --> 00:00:13,970
+أو بال chapter التاني من مساق تنقيب البيانات واللي
+
+4
+00:00:13,970 --> 00:00:16,810
+هو عنوانه data understanding and preparation أو
+
+5
+00:00:16,810 --> 00:00:21,710
+البعض بيسميه data processing data preprocessing
+
+6
+00:00:21,710 --> 00:00:26,070
+فعليا ال chapter كله يتوحي محور حوالين فهم
+
+7
+00:00:26,070 --> 00:00:31,150
+البيانات وكيف ممكن أنا أجهزها لعملية ال mining وما
+
+8
+00:00:31,150 --> 00:00:35,860
+تنساش أنه لما ذكرنا وطبعا يعني بذكرك في ما مضىقلنا
+
+9
+00:00:35,860 --> 00:00:39,140
+إن عملية الـ Data Mining هي عبارة عن عملية مكونة
+
+10
+00:00:39,140 --> 00:00:45,340
+من 7 مراحل بتبدأ من Data Cleaning Data Selection
+
+11
+00:00:45,340 --> 00:00:50,180
+Data Integration ممتاز Data Selection Data
+
+12
+00:00:50,180 --> 00:00:54,360
+Transformation Data Mining Pattern Evaluation
+
+13
+00:00:54,360 --> 00:01:00,380
+Knowledge Presentation ولاحظ CleaningIntegration,
+
+14
+00:01:00,380 --> 00:01:04,700
+Selection, Transformation قاعد بتكلم على أربع
+
+15
+00:01:04,700 --> 00:01:10,080
+خطوات من سبعة بتكلموا على تجهيز البيانات فقط قبل
+
+16
+00:01:10,080 --> 00:01:14,260
+ال mining وبالتالي لازم يكون في عندنا شغل في
+
+17
+00:01:14,260 --> 00:01:18,400
+المرحلة هاي وال chapter هذا هو المعنى بيش بالجزئية
+
+18
+00:01:18,400 --> 00:01:22,140
+بسم الله نبدأ ال chapter اللي موجود عندنا عادة
+
+19
+00:01:22,140 --> 00:01:27,340
+جماعة الخير المفروض قبل ما أنا أبدأ أي شغلة أكون
+
+20
+00:01:27,340 --> 00:01:31,810
+في عندى تصور عنهاانت ليش جيت الجامعة؟ عشان والله
+
+21
+00:01:31,810 --> 00:01:35,730
+أنا بدي أدرس كذا IT، بدي أدرس طب، بدي أدرس هندسة
+
+22
+00:01:35,730 --> 00:01:41,550
+فبتيجي على الجامعة وانت فيه عندك هدف الهدف هذا انت
+
+23
+00:01:41,550 --> 00:01:48,350
+ماوصلتلهوش، انت بتسعى لتحقيقه وفرت كل الظروف
+
+24
+00:01:48,350 --> 00:01:52,510
+المناسبة لتحقيق الهدف بدءًا من دراستك في الثانوية
+
+25
+00:01:52,510 --> 00:01:56,790
+العامة يعني مش معقول واحد كان مثلا بدأ طب وكان
+
+26
+00:01:56,790 --> 00:02:00,920
+بنام على الساعة تمانيةأو بجد معظم وقته على الـ
+
+27
+00:02:00,920 --> 00:02:05,000
+PUBG، صح؟ فكان بيجتهد، بيجتهد بحيث أنه يجيب المعدل
+
+28
+00:02:05,000 --> 00:02:08,180
+اللي بيسمحله كلية الطب و في داخل كلية الطب بدأاش
+
+29
+00:02:08,180 --> 00:02:12,620
+يدرس و يجتهد لحد بعد سبع سنوات أو ست سنوات من
+
+30
+00:02:12,620 --> 00:02:18,200
+الدراسة بيتخرج بشهادة أو حصل على شهادة الطب الآن
+
+31
+00:02:18,200 --> 00:02:25,440
+كذلك ال gold miners المواقبين عن الذهب بيفهموا
+
+32
+00:02:25,440 --> 00:02:31,540
+تماما إيش هدفهمإنه يجمّع أكبر قدر ممكن من الدهب،
+
+33
+00:02:31,540 --> 00:02:35,960
+ممتاز وين بده يدور عليه؟ بديش على شط البحر عندنا
+
+34
+00:02:35,960 --> 00:02:40,400
+في غزة يدور على الدهب في أماكن محددة ومعروفة
+
+35
+00:02:40,400 --> 00:02:46,580
+عالميا وبنقبوا باستمرار فيها، تمام؟ وبالتالي، لازم
+
+36
+00:02:46,580 --> 00:02:50,600
+يكون في عندي معرفة واضحة للبيئة اللي أنا بدي أشتغل
+
+37
+00:02:50,600 --> 00:02:54,260
+فيها كذلك إحنا في الـ Data Mining، البيئة تبعتنا
+
+38
+00:02:54,260 --> 00:02:58,790
+مين؟الـ Data، البيانات وانا بدي أستخرج معرفة من
+
+39
+00:02:58,790 --> 00:03:03,770
+البيانات الآن الـ Miner لما بدي يروح يفحر نفق من
+
+40
+00:03:03,770 --> 00:03:09,210
+أجل التنقيب ماينفعش يفحره في تربة رملية، تمام؟
+
+41
+00:03:09,210 --> 00:03:12,510
+لازم تكون الجبل أو المنطقة اللي بدي يفحر فيها لها
+
+42
+00:03:12,510 --> 00:03:16,630
+مواصفات معينة على الأقل تلب الحد الأدنى من ال
+
+43
+00:03:16,630 --> 00:03:19,730
+safety له ولا بدي يطبق عليه ويموت وهو بنجّب عن
+
+44
+00:03:19,730 --> 00:03:24,250
+الدهب مش هتصبط الأمور فبالتالي لازم يكون فهم عميق
+
+45
+00:03:26,670 --> 00:03:29,510
+لـ Data Mining أو لـ Data Analysis اللي بتصير
+
+46
+00:03:29,510 --> 00:03:32,670
+عندنا هنا وبالتالي لازم أفهم .. أفهم البيانات اللي
+
+47
+00:03:32,670 --> 00:03:36,470
+موجودة عادة إحنا عندنا في عالم الـ Software في أي
+
+48
+00:03:36,470 --> 00:03:40,970
+نظام في أي نظام موجود عندنا في عندنا شغلتين
+
+49
+00:03:40,970 --> 00:03:46,070
+أساسيات الـ Input و الـ Output ال Input و ال
+
+50
+00:03:46,070 --> 00:03:49,330
+Output في الـ Data Mining كذلك في عندنا Input و
+
+51
+00:03:49,330 --> 00:03:53,780
+Output ال Input تبعنا هي الـ Data و ال Outputالـ
+
+52
+00:03:53,780 --> 00:03:56,700
+Knowledge أو الـ Pattern بن جوسين الـ Pattern هذا
+
+53
+00:03:56,700 --> 00:04:00,340
+هو الـ Knowledge تبعتي اللي بدأ أطلع فيها هل في
+
+54
+00:04:00,340 --> 00:04:05,000
+علاقة بين ال input و ال output؟ ليه يا مؤمن بتقول
+
+55
+00:04:05,000 --> 00:04:09,160
+لأ؟ لأ، في علاقة دائما بين ال input بس بجيت شكلك
+
+56
+00:04:09,160 --> 00:04:12,800
+بجيت أسرحت في السؤال أنت بعيد في علاقة واضحة بين
+
+57
+00:04:12,800 --> 00:04:16,780
+ال input و ال output و ناخد مثال بسيط الآن لو جيت
+
+58
+00:04:16,780 --> 00:04:20,280
+و قلتلك أنت as a developerبتعملّي function أو
+
+59
+00:04:20,280 --> 00:04:26,740
+method بتحسب صعب الراتب للموظفين شوف بزيكا ايش
+
+60
+00:04:26,740 --> 00:04:31,380
+بيلزمك بعيدا عن لغة البرمجة وكده وكده وكده ايش
+
+61
+00:04:31,380 --> 00:04:34,400
+اللي بيلزمك بلزمني ال input مجموعة ال argument
+
+62
+00:04:34,400 --> 00:04:39,090
+اللي انا بدي امررها لل function اللي هيبدي الراتب
+
+63
+00:04:39,090 --> 00:04:43,630
+الأساسي، إيش عنده علوات، جدش حجم الضريبة، جدش في
+
+64
+00:04:43,630 --> 00:04:47,350
+عليه ديون، تمام؟ أو مستقطعات، وبالتالي هدولة
+
+65
+00:04:47,350 --> 00:04:50,710
+كلهاتهم بدي أدخلهم على الـ function وداخل الـ
+
+66
+00:04:50,710 --> 00:04:52,950
+function أو بلاش قبل أن أتكلم عن داخل الـ function
+
+67
+00:04:52,950 --> 00:04:57,330
+خارج ال output من الـ function قيمة واحدة فقط،
+
+68
+00:04:57,330 --> 00:05:01,870
+صافر راتب، ممتاز، يعني في علاقة واضحة بين ال input
+
+69
+00:05:02,790 --> 00:05:05,870
+والـ output ال input بعد ما بنعملها processing
+
+70
+00:05:05,870 --> 00:05:10,910
+بتطلع عند ال output جزئية ال processing هي مبنية
+
+71
+00:05:10,910 --> 00:05:14,830
+كذلك على فهمك لل input لما بروح بيجي و بقولك على
+
+72
+00:05:14,830 --> 00:05:20,630
+سبيل المثال صافر راتب هو يساوي صافر راتب مضيوفه
+
+73
+00:05:20,630 --> 00:05:24,070
+العلوات ال commission مخصومة منه الضريبة تمام
+
+74
+00:05:24,070 --> 00:05:26,790
+ومطروحة منه الاستحقاقات اللي عليه أو الديون
+
+75
+00:05:26,790 --> 00:05:30,850
+الموجودة عليه شو بتساوي؟ مافيش مجال ال
+
+76
+00:05:30,850 --> 00:05:36,340
+implementation لهاطريقة واحدة الـ Basic Salary
+
+77
+00:05:36,340 --> 00:05:40,960
+تساوي الـ Basic Salary ضارب قيمة الضريبة، مظبوط
+
+78
+00:05:40,960 --> 00:05:44,620
+زائد الـ Commission ناقص الاستقطاعات اللي موجودة
+
+79
+00:05:44,620 --> 00:05:49,380
+في مجال تعمل implementation غير هيك؟ كيف يا مؤمن؟
+
+80
+00:05:49,380 --> 00:05:53,900
+مافي مجال، معناه تقريبا شكل مش فاهم عليك أنا اليوم
+
+81
+00:05:53,900 --> 00:05:58,840
+خليكي مركز معايا، تمام؟ الآن مافيش مجال، طب همش
+
+82
+00:05:58,840 --> 00:06:02,420
+المعادلة هاي أنت كتبتها على مزاجكولا انحكمتي
+
+83
+00:06:02,420 --> 00:06:05,680
+بقوانين انحكمتي بقانون المؤسسة كيف تحسب الراتب
+
+84
+00:06:05,680 --> 00:06:13,060
+وهنا نفس الكلام في ال data mining بشكل عام و بال
+
+85
+00:06:13,060 --> 00:06:18,740
+machine learning بشكل خاص تمام؟ ليش؟ لأنه الآن في
+
+86
+00:06:18,740 --> 00:06:21,360
+الجزئيات في ال mining هستخدم machine learning
+
+87
+00:06:21,360 --> 00:06:25,890
+algorithm ال algorithm هذا هياخد منيالـ input الـ
+
+88
+00:06:25,890 --> 00:06:29,310
+data و يدّيني pattern فهيروح يعملها analysis
+
+89
+00:06:29,310 --> 00:06:32,950
+اختيار لعملية ال analysis و التحليل الهدف لازم
+
+90
+00:06:32,950 --> 00:06:37,550
+يكون يتوافق مع ال output المرجو وبالتالي أنا هنا
+
+91
+00:06:37,550 --> 00:06:40,450
+لازم يكون أفهم العلاقة إيش ال input و ال output
+
+92
+00:06:40,450 --> 00:06:46,070
+أكثر من أي شغلة من المعرفة إيه إيش بدو يصير في
+
+93
+00:06:46,070 --> 00:06:49,310
+بينهم لأن غالبا في ال implementation أنا مش هتعب
+
+94
+00:06:49,310 --> 00:06:53,920
+رأس كتير هيدوني ال formulaوأكتبها الصبر وكان الله
+
+95
+00:06:53,920 --> 00:06:56,460
+بالسر عليهم، مظبوط؟ في الـ .. في الـ Machine
+
+96
+00:06:56,460 --> 00:06:59,240
+Learning أو في الـ Data Mining بدي أفهم الـ Input
+
+97
+00:06:59,240 --> 00:07:03,320
+و أفهم الـ Output و أختار Algorithm من الـ Machine
+
+98
+00:07:03,320 --> 00:07:06,960
+Learning يكون مناسب لل task و أقول له اتفضل، هو
+
+99
+00:07:06,960 --> 00:07:10,460
+اللي بدي يعمل Analysis يعني أنا فعلياً ماليش علاقة
+
+100
+00:07:10,460 --> 00:07:15,920
+كبيرة كيف آلة الـ Input للـ Output بس إلي علاقة
+
+101
+00:07:15,920 --> 00:07:20,440
+إنه فعلياً بدي أحدد Input لتناسب مع الـ Output
+
+102
+00:07:20,440 --> 00:07:20,880
+المرجو
+
+103
+00:07:23,440 --> 00:07:27,440
+كذلك بالنسبة للـ preparation أنا متكلم في الان في
+
+104
+00:07:27,440 --> 00:07:29,680
+ال data understanding ليش مهمة في ال data
+
+105
+00:07:29,680 --> 00:07:34,120
+preparation معروف عندنا مصطلح في عالم البرامجيات
+
+106
+00:07:34,120 --> 00:07:40,100
+garbage in garbage out عمركاش تتوقع أن يكون في
+
+107
+00:07:40,100 --> 00:07:43,720
+عندي result محترمة إذا كانت ال input اللي عنده
+
+108
+00:07:43,720 --> 00:07:49,920
+سيئة إذا أنت مدتنيشقيمة صافر الراتب واضحة، عفوا،
+
+109
+00:07:49,920 --> 00:07:55,720
+الراتب الأساسي واضحة ماحددتليش بشكل دقيق ماجددش
+
+110
+00:07:55,720 --> 00:07:58,340
+قيمة الضريبة وماجددش قيمة الاستقلاعات اللي على
+
+111
+00:07:58,340 --> 00:08:03,200
+الموظف هذا ماقولتليش ال formula اللي تصاغ عليها
+
+112
+00:08:03,200 --> 00:08:07,020
+المعادلة هذه، ماتلومنيش لأن ال garbage انت اتديتني
+
+113
+00:08:07,020 --> 00:08:12,240
+garbage فاخدت مني garbage وفي ال data mining ال
+
+114
+00:08:12,240 --> 00:08:13,560
+low quality data
+
+115
+00:08:16,610 --> 00:08:21,630
+معناته low quality mining result إذا أنا مااخترتش
+
+116
+00:08:21,630 --> 00:08:26,750
+منطقة التنقيب بشكل .. بشكل مناسب بشكل دقيق معناته
+
+117
+00:08:26,750 --> 00:08:35,530
+مش هحصل على النتيجة المقلوبة، نعم ممتاز،
+
+118
+00:08:35,530 --> 00:08:39,730
+بس مش أنت اللي بتستخرجها فعليافعليًا مش أنت اللي
+
+119
+00:08:39,730 --> 00:08:42,670
+بتستخرجها، مين اللي بدورلك على الـ pattern هذه؟
+
+120
+00:08:42,670 --> 00:08:45,230
+الـ tools أو بين جثين الـ machine learning
+
+121
+00:08:45,230 --> 00:08:48,230
+algorithm مش احنا اتفقنا إن الـ data mining هي
+
+122
+00:08:48,230 --> 00:08:52,150
+عبارة عن multidisciplinary topic جمع من ال
+
+123
+00:08:52,150 --> 00:08:53,790
+database، من ال programming، من ال machine
+
+124
+00:08:53,790 --> 00:08:56,550
+learning، من ال statistics جزء ال machine learning
+
+125
+00:08:56,550 --> 00:08:59,150
+تستخدم في عملية ال mining نفسها أو بين جثين في
+
+126
+00:08:59,150 --> 00:09:04,180
+عملية التحليل عملية البحث عن ال patternمجرد انت ..
+
+127
+00:09:04,180 --> 00:09:07,900
+انت بعد ما تفهم ال data و تفهم ال output اللي بدي
+
+128
+00:09:07,900 --> 00:09:12,040
+يطلع دورك تختار machine learning algorithm مناسب
+
+129
+00:09:12,040 --> 00:09:16,860
+تقول قصته بالظبط في لوح و لا في data يعني أنه مش
+
+130
+00:09:16,860 --> 00:09:21,440
+أنظمة أو قليلة مش .. مسألة مش أنظمة أو قليلة فعليا
+
+131
+00:09:21,440 --> 00:09:25,040
+فيها مشاكل أو يعني بعدين تيجي تقولي أنا والله بدي
+
+132
+00:09:25,040 --> 00:09:30,180
+أحسب رواتب الموظفين بحيث أنه أعلى راتب للموظففي
+
+133
+00:09:30,180 --> 00:09:37,220
+صافر راتب لا يتجاوز لـ 1500 دولار تمام؟ وأتفاجأ ..
+
+134
+00:09:37,220 --> 00:09:40,840
+أتفاجأ أنه في ال input اللي عندي ك basic salary
+
+135
+00:09:40,840 --> 00:09:47,480
+فيه موظفين رواتبهم الإبتدائية أكتر من 1500 ومافيش
+
+136
+00:09:47,480 --> 00:09:51,540
+عنده درائب ومافيش عنده خصومات ممتاز، عشان هيك
+
+137
+00:09:51,540 --> 00:09:56,680
+بنقولك garbage in garbage out فإذا كانت الآن ال
+
+138
+00:09:56,680 --> 00:10:01,320
+quality تبعت ال product دائمامعتمد اعتماد كله على
+
+139
+00:10:01,320 --> 00:10:05,260
+الـ Input على الـ Quality تبعات الـ Input واحد
+
+140
+00:10:05,260 --> 00:10:07,300
+يقول لي بس مش هذا اللي بيصير يا دكتور في عالم
+
+141
+00:10:07,300 --> 00:10:09,680
+التنقيب اللي احنا بيشوفه على الـ National
+
+142
+00:10:09,680 --> 00:10:13,300
+Geographic بروح بيحفر و بلاقي دهب بفو جبل ما يروح
+
+143
+00:10:13,300 --> 00:10:17,940
+يحفر و يلاقي الدهب هذا جديش بحث عن الأرض جديش
+
+144
+00:10:17,940 --> 00:10:23,700
+استأجار معدات جديش ناس جالدين على العمل و بيفهموا
+
+145
+00:10:23,700 --> 00:10:26,280
+في التخص في المجال اللي بيشتغلوا فيه فبتلاقي عنده
+
+146
+00:10:26,280 --> 00:10:30,660
+الـ Mechanic عشان لو اتعطلت الآلةمباشرة يصلحها
+
+147
+00:10:30,660 --> 00:10:35,360
+بيلاقي عنده الخبير اللي في التربة بيعرف اللي عنده
+
+148
+00:10:35,360 --> 00:10:39,820
+سواج على رأي أبو حاسم، تمام؟ فبكون فعليا هو جهد
+
+149
+00:10:39,820 --> 00:10:46,440
+وفر input .. input على مستوى الهدف تبعه، تمام يا
+
+150
+00:10:46,440 --> 00:10:51,940
+أحمد؟ في
+
+151
+00:10:51,940 --> 00:10:56,620
+فهم البيانات أو فهمك للبيانات لازم تطرح على نفسك
+
+152
+00:10:56,620 --> 00:11:01,880
+مجموعة من الأسئلةالأسئلة هذه مهمة في الجزئية
+
+153
+00:11:01,880 --> 00:11:03,800
+الأولى من ال chapter اللي هي data understanding
+
+154
+00:11:06,730 --> 00:11:10,750
+في الـ Basic Question هاي لازم أنت زي ما قلتلك
+
+155
+00:11:10,750 --> 00:11:15,310
+عشان تحصل على معرفة أو مفاهم كويس تروح تسأل مجموعة
+
+156
+00:11:15,310 --> 00:11:18,790
+من الأسئلة وهذه general question تقريبا أنت وغيرك
+
+157
+00:11:18,790 --> 00:11:22,370
+هتسأله نفسك و هتلاقي أن بعضها ممكن تكرر الآن بشكل
+
+158
+00:11:22,370 --> 00:11:25,950
+أو بآخر من ضمن الأسئلة أو تقول معاك لنفس المعنى مش
+
+159
+00:11:25,950 --> 00:11:29,870
+قضية لكن كلها تصب في مرحلة واحد أو في اتجاه واحد
+
+160
+00:11:29,870 --> 00:11:36,480
+إنك أنت تفهم البيانات قبلما تشتغل ليش هذا الكلام؟
+
+161
+00:11:36,480 --> 00:11:39,240
+عشان انا اعرف وين .. اعرف وين حدودي، ايش أرض
+
+162
+00:11:39,240 --> 00:11:42,340
+الصلبة اللي أنا واقف عليها عشان أبدأ المرحلة
+
+163
+00:11:42,340 --> 00:11:46,060
+التالية بجلب جو زي ما بيقولوا واطمئن .. واتجنب ال
+
+164
+00:11:46,060 --> 00:11:49,140
+risk اللي ممكن تصير لأن عملية ال analysis في جامعة
+
+165
+00:11:49,140 --> 00:11:52,060
+الخير احنا اليوم بنتعلم لكن في ال real world أو في
+
+166
+00:11:52,060 --> 00:11:54,840
+العالم لما انت بدك تستخدم ال machine learning
+
+167
+00:11:54,840 --> 00:11:59,150
+algorithm هذا ممكن يشغله عشر أيامأو 11 يوم أو
+
+168
+00:11:59,150 --> 00:12:03,610
+أسبوع أو أكثر هو بيعمل بحاول يقرأ البيانات ويحللها
+
+169
+00:12:03,610 --> 00:12:09,450
+جهازك الشخص مش هيخدمك بدك تروح تحجز cloud server
+
+170
+00:12:09,450 --> 00:12:14,510
+بدك تدفع مبلغ محترم فجابل ما أنا بدي أخدها التجربة
+
+171
+00:12:14,510 --> 00:12:18,250
+هاي وأكثر لازم أكون فاهم كويس أيش البيانات اللي
+
+172
+00:12:18,250 --> 00:12:24,330
+موجودة عندي وبالتالي الفهم هذا هو بمثل درعك في
+
+173
+00:12:24,330 --> 00:12:30,290
+مواجهة المشكلة اللي موجودةأول حاجة أو أول سؤال بدي
+
+174
+00:12:30,290 --> 00:12:35,330
+يتبادر لذهننا هل البيانات هذه بتحل المشكلة
+
+175
+00:12:35,330 --> 00:12:41,570
+المطلوبة ولا لأ قبل ما أبدأ فيها ضربنا مثال
+
+176
+00:12:41,570 --> 00:12:47,490
+محاضرات الماضية كان لما قلنا نحاول نعمل system
+
+177
+00:12:47,490 --> 00:12:53,930
+بيتنبأ بيهالتحصيل أو نسبة التحصيل للطالب في
+
+178
+00:12:53,930 --> 00:12:57,310
+المرحلة الإبتدائية بناء على الحالة الصحية وهذا
+
+179
+00:12:57,310 --> 00:13:01,410
+النموذج خليه في بالك لأنه هنكرره كثير كذكر ليش؟
+
+180
+00:13:01,410 --> 00:13:04,490
+لأنه سهل نوقّع الناس اللي بنعيشه وممكن نستوعبه
+
+181
+00:13:04,490 --> 00:13:13,810
+بسهولة الآن ال data هذه عشان أحل المشكلة هذه فعليا
+
+182
+00:13:13,810 --> 00:13:20,120
+ممكن أنا أروح أجمعها فقط من السجل المدرسيالسجل
+
+183
+00:13:20,120 --> 00:13:23,280
+للمدرسة كتير وبدي يقوللي إن والله كان في الأول
+
+184
+00:13:23,280 --> 00:13:26,780
+ابتدائي كذا وجاب معدل كذا كان في الصف الفلاني في
+
+185
+00:13:26,780 --> 00:13:30,460
+تاني ابتدائي وجاب كذا، مصبوط؟ الشغلات التانية مش
+
+186
+00:13:30,460 --> 00:13:36,560
+متوفرة مطلقا بعد هيك هطرح سؤال تاني، بينفع أنا
+
+187
+00:13:36,560 --> 00:13:40,680
+أقول والله بدي أتنبأ بمستوى تحصيل الطالب في
+
+188
+00:13:40,680 --> 00:13:45,060
+المرحلة الإبتدائية بناء على بيانات سوق فلسطين
+
+189
+00:13:45,060 --> 00:13:50,420
+للأوراق المالية؟طبعاً لأ، فلازم .. هذا السؤال مهم،
+
+190
+00:13:50,420 --> 00:13:54,200
+هل ال data set اللي موجودة عندهان بتحل المشكلة ولا
+
+191
+00:13:54,200 --> 00:13:59,060
+بتحلهاش؟ مينجو سين، relevant للمشكلة ولا لأ؟ فلازم
+
+192
+00:13:59,060 --> 00:14:04,940
+أول شغلة أن تكون ال data set لها علاقة بالهدف، في
+
+193
+00:14:04,940 --> 00:14:10,280
+مثال صاف الراتب، بنفعش أروح أزوأك تقولني والله
+
+194
+00:14:10,280 --> 00:14:13,990
+يحسبلي صاف الراتب؟و تروح تدخلي argument للـ
+
+195
+00:14:13,990 --> 00:14:18,490
+function تبعتي جاب 95 في تنقيب البيانات و جاب 63
+
+196
+00:14:18,490 --> 00:14:22,310
+في برمجة 2 و جاب 70 مثلا في ال operating system
+
+197
+00:14:22,310 --> 00:14:31,410
+أبداك أكتر؟ مين اللي اعترض على 95 بس؟ بحسب أبداك
+
+198
+00:14:31,410 --> 00:14:37,030
+أكتر انا مظبط كتير أكيد يعني هذا بيكون غالبا الأول
+
+199
+00:14:37,030 --> 00:14:41,710
+على الدفعة مافيش مشكلةأمه دا عياله غير أن أمه دا
+
+200
+00:14:41,710 --> 00:14:46,530
+عياله هو يجتهد ويستهلهم هذا أهم شغلة طيب كذلك في
+
+201
+00:14:46,530 --> 00:14:52,270
+بعض الأسئلة العامة اللي ممكن أنا أستفيد منها قداش
+
+202
+00:14:52,270 --> 00:14:58,930
+حجم البيانات المتوفرة عندك بعد ما أنا فعليا حددت
+
+203
+00:14:58,930 --> 00:15:04,090
+أن ال data هذه relevant لل task هذه وبتحلل الهدف
+
+204
+00:15:04,090 --> 00:15:07,760
+وبتوصلني للهدف اللي أنا بدياهجدّيش حجم البيانات
+
+205
+00:15:07,760 --> 00:15:12,340
+اللي موجودة عندى؟ ده سؤال مهم عادة بال machine
+
+206
+00:15:12,340 --> 00:15:16,300
+learning بيجيب نقول عشان نقدر نتعلم صح تدّى بحدود
+
+207
+00:15:16,300 --> 00:15:21,540
+خمسين ألف record عشان أقدر أتعلم صح و أشغل صح و
+
+208
+00:15:21,540 --> 00:15:24,120
+بالمناسبة ممكن الخمسين ألف هدول يكونوا جلال في
+
+209
+00:15:24,120 --> 00:15:30,970
+task معينة وممكن يكون في عندي task تانية يكفيهم200
+
+210
+00:15:30,970 --> 00:15:36,430
+record حسب دقة أو حسب ال quality تبع ال input أو
+
+211
+00:15:36,430 --> 00:15:39,790
+ال data اللي موجودة عندها هنشوف خلال ال course في
+
+212
+00:15:39,790 --> 00:15:42,970
+مثلا ال iris database بتكلم على زهر السوسن أو
+
+213
+00:15:42,970 --> 00:15:46,470
+أنواع السوسنيات بتكلم على تلات أنواع و بتكلم على
+
+214
+00:15:46,470 --> 00:15:50,770
+مقييس طول البتلة و طول الزهرة و الكأس تبع الزهرة
+
+215
+00:15:50,770 --> 00:15:54,920
+إلى آخرهوالقياسات هذه دقيقة ومشتغلين عليها بشكل
+
+216
+00:15:54,920 --> 00:15:58,160
+محترم غالبا تستخدم for training سهل عشان سهل
+
+217
+00:15:58,160 --> 00:16:03,560
+الواحد بيستوعبها وحجمها صغير لكن هذا الكلام
+
+218
+00:16:03,560 --> 00:16:09,140
+مابينفعش عشان أتكلم على تصنيفات مختلفة الـ150 هدول
+
+219
+00:16:09,140 --> 00:16:11,740
+مابينفعش أروح مثلا أنا على وزارة الصحة أو على
+
+220
+00:16:11,740 --> 00:16:14,460
+مستشفى الشفاء باسم الأورام أقولهم والله جماعة
+
+221
+00:16:14,460 --> 00:16:19,480
+الخير بدّونا صور مقطعية لمرضى سرطان الرئة الله
+
+222
+00:16:19,480 --> 00:16:24,530
+يبعد عنكم الشر جميع المسلمين يا ربالآن يقولوا
+
+223
+00:16:24,530 --> 00:16:30,030
+والله أوكي أنا عندي خمسين صورة أو عندي عشر صور هل
+
+224
+00:16:30,030 --> 00:16:33,410
+العشر هدول كافيات يبنوا system قادر بالتنبؤ أو
+
+225
+00:16:33,410 --> 00:16:39,690
+يساعدني حتمًا لأ حتمًا لأ وبالتالي حجم البيانات
+
+226
+00:16:39,690 --> 00:16:47,150
+لازم يكون كافي للتعليم وهذا الكلام مش هيصير في
+
+227
+00:16:47,150 --> 00:16:51,010
+المجال زي ما قلتلك إلا غير من واقع خبرة تراكمية في
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+228
+00:16:51,010 --> 00:16:54,910
+العملاليوم احنا فعليا مش عارف لما أقولك الواجب
+
+229
+00:16:54,910 --> 00:16:57,450
+المرة اللي جاية بدي data set كذا ممكن تجيبلي data
+
+230
+00:16:57,450 --> 00:17:01,050
+set من ألفين record موجودة معظمها موجود لل
+
+231
+00:17:01,050 --> 00:17:05,430
+training للتدريب وفي بعضها موجودة على مواقع Kaggle
+
+232
+00:17:05,430 --> 00:17:08,090
+محطوطة ل competition وممكن تدفع عليها فلوس و
+
+233
+00:17:08,090 --> 00:17:10,850
+بتلاقيها real data set و بتلاقيها بمئات الألاف ال
+
+234
+00:17:10,850 --> 00:17:14,910
+records و أحيانا ب gigabytes حجمها عشان تعملها
+
+235
+00:17:14,910 --> 00:17:19,530
+download بدك يومين تلاتة الآن حسب الحجم المشكلة
+
+236
+00:17:20,580 --> 00:17:27,320
+بتصير بالمناسبة كل ما كانت ال data أكبر بدهوجت
+
+237
+00:17:27,320 --> 00:17:35,580
+أكتر و بتكون ال result تبعتك أفضل بدك
+
+238
+00:17:35,580 --> 00:17:41,080
+فضاء عين واسع اديبلك مثال من واقعنا احنا بقولوا
+
+239
+00:17:41,080 --> 00:17:46,140
+فلان طبيب حاذق في التخصص اللي بشتغل فيه جهجير
+
+240
+00:17:46,140 --> 00:17:51,780
+بلغتنا اهل غزة صح؟ ليش بنقول عنه الصفة هاي؟بس لأنه
+
+241
+00:17:51,780 --> 00:17:59,500
+من أول حلقة بشخص صح لأ مر عليه حالات بلغتنا برضه
+
+242
+00:17:59,500 --> 00:18:03,420
+احنا أهل غزة بعدد شعر رأسه وبالتالي صار عنده
+
+243
+00:18:03,420 --> 00:18:07,520
+knowledge أو experience عالية جدا بمجرد يتعرف أو
+
+244
+00:18:07,520 --> 00:18:12,000
+يسمع من الشخص الأعراض اللي بيشكيها تمام بيقدر يحدد
+
+245
+00:18:12,000 --> 00:18:16,820
+المرض بشكل دقيق تمام هذا لا يعني اللي لا يخطئلكنه
+
+246
+00:18:16,820 --> 00:18:21,980
+فعلياً نسبة الدقة عنده في التشخيص مرتفعة جدا، تكاد
+
+247
+00:18:21,980 --> 00:18:27,380
+تكون كاملة من أين؟ من وقع خبرة، بينفعش طبيب بهمش
+
+248
+00:18:27,380 --> 00:18:31,830
+بيجيش طبيب مبارح يتخرجيقول أنا عندي خبرة أفضل من
+
+249
+00:18:31,830 --> 00:18:35,190
+فلان لأ العامل الزمن وعدد التجارب اللي مر فيها
+
+250
+00:18:35,190 --> 00:18:39,070
+بالمناسبة كل تجربة مر فيها .. كل طبيب بعالج ..
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+251
+00:18:39,070 --> 00:18:43,650
+عفوا كل مريض بعالجه الطبيب هي عبارة عن instance رو
+
+252
+00:18:43,650 --> 00:18:48,210
+.. رو .. record في ال data set تبعته بيحاول يكتسب
+
+253
+00:18:48,210 --> 00:18:53,050
+من خلاله خبرة وبالتالي بعد ما هي ال data relevant
+
+254
+00:18:53,050 --> 00:18:58,630
+حجم البيانات مهم جداً هل هذه هي كل ال data set؟
+
+255
+00:19:01,490 --> 00:19:04,630
+Okay انت قلتلي هاي حجمها قلتلي والله عندي الف
+
+256
+00:19:04,630 --> 00:19:11,290
+record ضروري تسأل نفسك فعليا هل في مجال هذه كل ال
+
+257
+00:19:11,290 --> 00:19:15,610
+data set ولا في جزء مخفي أنا مش قادر أصلّه مش من
+
+258
+00:19:15,610 --> 00:19:18,970
+ال .. بدورش على knowledge يا .. يا هاشم بأدور على
+
+259
+00:19:18,970 --> 00:19:23,960
+بيانات يعني بين قوسين هل في مجال الألف هدوليصيروا
+
+260
+00:19:23,960 --> 00:19:30,920
+1500 أو 1500.5 يصيروا 3000 يعني بين جثين هل هناك
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+261
+00:19:30,920 --> 00:19:34,220
+مصدر آخر للبيانات هذي ممكن أن أحصل عليه الآن أنا
+
+262
+00:19:34,220 --> 00:19:38,420
+فعليًا أول ما طرقت طرقت باب مستشفى الشفاء التخصص
+
+263
+00:19:38,420 --> 00:19:42,760
+المطلوب لكن بعرف سين من الأطباء شاطر وكتير من
+
+264
+00:19:42,760 --> 00:19:47,380
+المرض هذول بتوجهوا لعنده فممكن أنا هذا الطبيب أن
+
+265
+00:19:47,380 --> 00:19:52,910
+أروح ألاقي عنده سجلات إضافية وبالتالي أوسعال data
+
+266
+00:19:52,910 --> 00:19:56,150
+set تبعتي عشان هيك بدك تسأل نفسك هل هي كل ال data
+
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+00:19:56,150 --> 00:20:01,990
+set هاي ولا في مجال تكون أكبر هل ال data set هاي
+
+268
+00:20:01,990 --> 00:20:06,290
+representative enough كافية لتمثيل الحالات اللي
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+269
+00:20:06,290 --> 00:20:10,930
+أنا بقى أشتغل فيها احنا خدنا مثال طلاب المدرسة و
+
+270
+00:20:10,930 --> 00:20:15,210
+نسبة تحصيلهم طب ما هي بياناتهم الدراسية موجودة في
+
+271
+00:20:15,210 --> 00:20:19,610
+المدرسة لكن هل هي كافية للحالة اللي أنا بقى أتكلم
+
+272
+00:20:19,610 --> 00:20:24,720
+فيهااللي هي بنجو سين كانت .. نذكركوا بالحالة بناءً
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+273
+00:20:24,720 --> 00:20:28,760
+على وضعه الصح يجدش نسبة تحصيله لأ غير كافية
+
+274
+00:20:28,760 --> 00:20:33,220
+المعرفة دي مفعش ال data set مش represented بتمثلش
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+275
+00:20:33,220 --> 00:20:36,140
+كل البيانات لكن في مثال ال iris اللي ذكرته قبل
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+276
+00:20:36,140 --> 00:20:41,160
+لحظات اللي هو الزهرات أو الزهور كان فيه شغلات
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+277
+00:20:41,160 --> 00:20:46,860
+معروفة قال هي الوردة أو هي الزهرة كأس ارتفاعه حجمه
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+278
+00:20:46,860 --> 00:20:53,070
+البتلة بولها و عرضها قياسات تابعةفي غير هي كانت
+
+279
+00:20:53,070 --> 00:20:56,130
+موجودة في الوردة قالك لا ماعنديش هي الموجودة
+
+280
+00:20:56,130 --> 00:21:01,410
+الريحة مش هتطلع في الكمبيوتر و بالتالي خلصنا منها
+
+281
+00:21:01,410 --> 00:21:05,410
+انسى الموضوع مصبوط فهذه كانت فعليا ال four
+
+282
+00:21:05,410 --> 00:21:08,850
+attributes اللي أنا ذكرتهم enough representative
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+283
+00:21:08,850 --> 00:21:14,910
+وبشكل كافي للزهرات الموجودة ثم إنه بدي أرجع للعدد
+
+284
+00:21:14,910 --> 00:21:20,710
+فعليا ال data هي as rows بتمثل تلت أنواع من
+
+285
+00:21:20,710 --> 00:21:25,190
+الزهرات هدولولّا بس بتمثّل نوع واحد؟ إذا بتمثّل
+
+286
+00:21:25,190 --> 00:21:30,510
+نوع واحد ده تستفيد منها حاجة وبالتالي لازم يكون في
+
+287
+00:21:30,510 --> 00:21:34,830
+عندي variation بحيث أنه الطابق كل الفئات لما بدي
+
+288
+00:21:34,830 --> 00:21:39,270
+أعلم النظام ييجي يقولّي true، false، positive و
+
+289
+00:21:39,270 --> 00:21:44,070
+negative لازم أعرض عليه عينات من الاتنين positive
+
+290
+00:21:44,070 --> 00:21:46,310
+و negative عشان يتعرف على خصائص high يا رامي
+
+291
+00:21:46,310 --> 00:21:50,110
+ويتعرف على خصائص high وفي الآخر يقدر ياخد decision
+
+292
+00:21:54,700 --> 00:22:00,360
+هل ال data تبعتي فيها outlier ولا لأ cross
+
+293
+00:22:00,360 --> 00:22:08,100
+outliers ولا فيها اي شغلة غير اعتيادية الان لو انا
+
+294
+00:22:08,100 --> 00:22:12,940
+اجيت و قلتلك كالتالي بدي ارسم هنا رسمة بسيطة قلتلك
+
+295
+00:22:12,940 --> 00:22:18,220
+حاولت ارسم ال data 6 تبعتي في ال 2D و لجيتها
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+296
+00:22:18,220 --> 00:22:20,820
+عمالها هيك
+
+297
+00:22:28,530 --> 00:22:36,390
+وأجينا هنا قلنا لك في عندي كام
+
+298
+00:22:36,390 --> 00:22:45,470
+من البيانات هنا لكن النسبة الأكتر ال red الأن ..
+
+299
+00:22:45,470 --> 00:22:50,950
+الأن لو أنا قلت بدي أعمل model يحاكي ال data هذا
+
+300
+00:22:50,950 --> 00:22:54,910
+أو ال situation اللي عندي أفضل model هيكون
+
+301
+00:22:54,910 --> 00:23:00,700
+straight line قط مستقيممع ال data اللي موجودة
+
+302
+00:23:00,700 --> 00:23:05,740
+عندهم أكيد
+
+303
+00:23:05,740 --> 00:23:11,080
+نرجع بنأكد plus or minus من ال accuracy صحيح؟ طب
+
+304
+00:23:11,080 --> 00:23:19,400
+بس هدول .. هدول .. هدول فعلياً وجودهم هيعمل إن ال
+
+305
+00:23:19,400 --> 00:23:23,720
+line يروح باتجاههم ولا شو رايكوا؟ لإن يعرفوا إن مش
+
+306
+00:23:23,720 --> 00:23:29,000
+نقطة واحدةولا نقطتين في مجبوعة هدولة بدي أخد قرار
+
+307
+00:23:29,000 --> 00:23:31,300
+فيهم هل هو دول outlier ولا لأ إذا كانت نقطة
+
+308
+00:23:31,300 --> 00:23:34,900
+ونقطتين ممكن أحذفهم ممكن يكونوا عشر أو عشرين واضطر
+
+309
+00:23:34,900 --> 00:23:39,900
+أحذفهم الآن بنيجي مثلا بقولك في مجال تربية الأبناء
+
+310
+00:23:39,900 --> 00:23:49,620
+قوعك تكذب قدام ابنك ليش؟ هي بس مرة واحدة اتصرف
+
+311
+00:23:49,620 --> 00:23:54,560
+التصرف هذا قدامه وخلاصوهو كفيل إنه يعيده مرة أو
+
+312
+00:23:54,560 --> 00:23:57,780
+تنتين أو تلاتة أو عشرة ولمّا تيجي تقوله كذا بتقولك
+
+313
+00:23:57,780 --> 00:24:02,680
+ما أنت كذا وولد كذا، عملت كذا، مصبوط؟ وبالتالي ال
+
+314
+00:24:02,680 --> 00:24:07,600
+outlier هذا مش لازم يكون موجود فعشان هيك لازم أنا
+
+315
+00:24:07,600 --> 00:24:12,080
+أفهم ال data تبعتي تكون إيش صحيحة وعادة جماعة
+
+316
+00:24:12,080 --> 00:24:17,090
+الخير يمكن كمان النقاط اللي أنا رسمته هايتكون
+
+317
+00:24:17,090 --> 00:24:20,530
+كثيرة، المفروض تكون أقل، ليش؟ لأن المفروض ..
+
+318
+00:24:20,530 --> 00:24:24,250
+المفروض أن الـ data هذه normal و ال outlier زي ما
+
+319
+00:24:24,250 --> 00:24:27,770
+قلنا هو الشواذ .. الشاذ يعني نجي بنقول والله سألنا
+
+320
+00:24:27,770 --> 00:24:31,810
+أهل الشبكات في الجامعة الإسلامية كام request بيجي
+
+321
+00:24:31,810 --> 00:24:36,190
+لل server تباعنا في اليوم؟ قالك والله إنه ممكن
+
+322
+00:24:36,190 --> 00:24:40,350
+يجيني مثلا خمسين ألف أو يجينا عشرة آلاف أو سبعة ..
+
+323
+00:24:40,350 --> 00:24:44,570
+سبعة آلاف في اليوم تيجي فترة التسجيل، بيكون عند
+
+324
+00:24:44,570 --> 00:24:50,180
+الذروةعشرين ألف عشرين ألف request لصفحة الجامعة
+
+325
+00:24:50,180 --> 00:24:57,720
+لسيرفر الجامعة هذا ال normal تمام لكن
+
+326
+00:24:57,720 --> 00:25:02,100
+صار فيه هنا في بعض الأوقات صار في عندنا عليه جلطش
+
+327
+00:25:02,100 --> 00:25:06,860
+العشرين ألف صار خمسين أو صار مائة ألف request لو
+
+328
+00:25:06,860 --> 00:25:11,480
+اتحققنا في هدول في ال traffic العالي ممكن نلاقي
+
+329
+00:25:11,480 --> 00:25:15,190
+احناانتروجين او Daniel of service attack عامله كان
+
+330
+00:25:15,190 --> 00:25:19,930
+بتتوقع بتتعرضله سيرفر الجامعة لأنه كمان مرة انت
+
+331
+00:25:19,930 --> 00:25:26,210
+المفروض تعرف ال pattern الحقيقي بعدين بتقرر شو وضع
+
+332
+00:25:26,210 --> 00:25:29,030
+ال pattern بيجي طباء القلب بيجي بيقولك والله انه
+
+333
+00:25:29,030 --> 00:25:35,410
+ال frequent لما بروح بياخد ال SG لتخطيط القلب مجرد
+
+334
+00:25:35,410 --> 00:25:39,800
+يطلع عليه الطبيبولا يعملها في عندك اضطراب لأ مراكز
+
+335
+00:25:39,800 --> 00:25:44,460
+سليمة ليش؟ لأن هو أساساً حفظ النمط الطبيعي كيف
+
+336
+00:25:44,460 --> 00:25:49,540
+ممكن يكون وبناء عليه بياخد decision على العناصر
+
+337
+00:25:49,540 --> 00:25:53,040
+الموجودة وبالتالي أنا بدي أحاول أعرف بعد ما شوفت
+
+338
+00:25:53,040 --> 00:25:56,060
+حجم البيانات وهل هي مكتملة أو لأ و representative
+
+339
+00:25:56,060 --> 00:25:59,280
+هل فيها outlier ولا لأ، اتفضل يا خالد
+
+340
+00:26:05,510 --> 00:26:10,730
+مثلا إذا عددهم اكتار هم مش outlier يعني مثلا أجي
+
+341
+00:26:10,730 --> 00:26:17,150
+هيك نيجي نقول كالتالي فلان عنده عشرة من الأبناء
+
+342
+00:26:17,150 --> 00:26:24,850
+كلهم مجتهدين نشيطين مؤدبين و و و لكن واحد منهم فلت
+
+343
+00:26:24,850 --> 00:26:30,150
+اه انت عكست الشغل تمام اعكس الشغل تمام بيصير اللي
+
+344
+00:26:30,150 --> 00:26:34,330
+ميحد هو ال outlierأيوة، ففعلياً العدد بيلعب دور
+
+345
+00:26:34,330 --> 00:26:37,870
+أنا هنا لما رسمت حاولت .. حاولت .. حاولت أرسم عشر
+
+346
+00:26:37,870 --> 00:26:41,370
+نقاط في المقابلة ممكن رسمت خمسين أو ستين نقطة هنا،
+
+347
+00:26:41,370 --> 00:26:44,810
+تمام؟ عادت راجعت، إذا كان لاحظت ومسحتهم، لأنه
+
+348
+00:26:44,810 --> 00:26:48,250
+فعليا عشر على خمسين لأ، إلهم وزن، لكن أربعة أو
+
+349
+00:26:48,250 --> 00:26:53,250
+اتنين إلى خمسين، نوعا ما الوزن إيش، بقل، تمام؟
+
+350
+00:26:53,250 --> 00:26:56,390
+فدائما الـoutlier بالعدد، عدده قليل
+
+351
+00:26:59,240 --> 00:27:03,800
+كيف لو أنا أنت أخدته؟ طيب ممتاز، الآن إنت لو حملت
+
+352
+00:27:03,800 --> 00:27:09,540
+الـoutlier في حسبانك وروح تعدّل معادلة الخط هاي،
+
+353
+00:27:09,540 --> 00:27:13,480
+شو بتساوي؟ المفروض إن الخط يجي هان، على الأقل على
+
+354
+00:27:13,480 --> 00:27:21,160
+حدود المنطقة الحمراء، هاي، اللي هو الخط المقطع،
+
+355
+00:27:21,160 --> 00:27:24,480
+هذا العمل اللي بحاول أرسمه هان، ولا لأ؟ ما تقولين
+
+356
+00:27:24,480 --> 00:27:26,800
+إنه ليه مش تأثير؟ لأ، إيه اللي هو تأثير في الوزن؟
+
+357
+00:27:26,800 --> 00:27:35,080
+ممتازطب مين أدق؟ الخط اللي في الأول و لا الخط هذا؟
+
+358
+00:27:35,080 --> 00:27:39,440
+الأول، ليش؟ لأنه عامل fit تقريبا في نص البيانات أو
+
+359
+00:27:39,440 --> 00:27:45,520
+بين جوسين نسبة الخطأ فيه أقل لمن؟
+
+360
+00:27:45,520 --> 00:27:49,540
+طب أنا مابهمش، و أنا بدي أرجعلك للنقطة هذه، هذه
+
+361
+00:27:49,540 --> 00:27:56,400
+الآن بعد ما كانت نسبة ال accuracy تبعتها حوالي 98%
+
+362
+00:27:56,400 --> 00:28:03,200
+أصارت ال accuracy تبعتها 70%أه قصده يا دكتور أنه
+
+363
+00:28:03,200 --> 00:28:05,880
+ما بنفعش احنا نفضلنا نعدل كتير في ال data أو نرفع
+
+364
+00:28:05,880 --> 00:28:08,840
+منها أسيارة يا عم انت ليش بتظلك تفترض كتير احنا
+
+365
+00:28:08,840 --> 00:28:14,360
+بنقولك ال outlier قيم شاذة لأن هي عبارة نسبة قليلة
+
+366
+00:28:14,360 --> 00:28:20,500
+جدا لكن تؤثر .. تؤثر سلبا .. الآن بدي أجي أقولك
+
+367
+00:28:20,500 --> 00:28:24,440
+كالتالي حضرت جنابك ما شاء الله من المجتهدين ومعدلك
+
+368
+00:28:24,440 --> 00:28:30,080
+دائما علاماتك .. علاماتك تسعين مش هقول أكتر ولا
+
+369
+00:28:30,080 --> 00:28:35,030
+بدي أقول تسعينتجسّرت في الـ data mining و حطيتلك
+
+370
+00:28:35,030 --> 00:28:40,250
+أربعين وين راح معدّى لك؟ وين راح معدّى لك؟ يا
+
+371
+00:28:40,250 --> 00:28:43,330
+دكتور والله ما هو هذا أنا، مش أنا بس المادة يعني
+
+372
+00:28:43,330 --> 00:28:46,770
+ماظبطتش معايا بس في الآخر بتصير الأربعين هذه
+
+373
+00:28:46,770 --> 00:28:50,710
+outlier ماشي الحال، بس الفكرة اللي أنا بدي أقوله
+
+374
+00:28:50,710 --> 00:28:56,130
+إن ال outlier هي عبارة عن قيم unfrequent غير
+
+375
+00:28:56,130 --> 00:29:01,470
+متكررة، لكن وجودهايؤثر، بدك تقولي إن هذه الأربعين
+
+376
+00:29:01,470 --> 00:29:06,810
+لو كانت ضمن فصلين أو تلت فصول، مش هتأثر في المعدل؟
+
+377
+00:29:06,810 --> 00:29:10,910
+بتأثر و بتأثر كتير، في اللحظة اللي بتخلص منها أنت
+
+378
+00:29:10,910 --> 00:29:15,650
+بتحس أن المعدل بجيب مثال على الـ outlier الـ
+
+379
+00:29:15,650 --> 00:29:20,370
+outlier كمان يا شباب هي قيمة حقيقية موجودة لكن
+
+380
+00:29:20,370 --> 00:29:27,370
+وجودها يتنافى تماما مع ال trend العام اللي موجودة
+
+381
+00:29:27,370 --> 00:29:31,580
+فيه إيش؟الـ data set اللي موجودة هنا عشان هيك أول
+
+382
+00:29:31,580 --> 00:29:35,820
+حاجة فيها إن إيش أشيلها عشان هيك بهمش أنا برضه في
+
+383
+00:29:35,820 --> 00:29:39,040
+مثال العلامات بنروح ونقوله جداش أنا معدلك يا فلان
+
+384
+00:29:39,040 --> 00:29:44,480
+أنا متأكد إنك أنت هتديه معدلك بدون ما تحسب المادة
+
+385
+00:29:44,480 --> 00:29:48,520
+هي لأن مش هي اللي بتعكس صورتك نعم يعني لو أجد مثلا
+
+386
+00:29:48,520 --> 00:29:52,600
+إحنا بنعمل data mining على علاقة مثلا التدخين
+
+387
+00:29:52,600 --> 00:29:53,620
+بالسرطان تمام
+
+388
+00:29:59,050 --> 00:30:03,330
+أكيد .. هي حق .. شوية .. شوية .. شوية أنا قلت إن
+
+389
+00:30:03,330 --> 00:30:07,130
+الـ outlier مش حقيقية؟ لأ الـ outlier هي قيمة
+
+390
+00:30:07,130 --> 00:30:17,030
+حقيقية لكن نسبتها قليلة جدا تمام
+
+391
+00:30:17,030 --> 00:30:20,490
+إيش
+
+392
+00:30:20,490 --> 00:30:25,030
+ال task تبعتك بدك تقول الآن؟ أنك بتصير الدكتور بطل
+
+393
+00:30:25,030 --> 00:30:31,350
+مدخنين بالسرطانمش علاقة السرطان بالتدخين انت تقول
+
+394
+00:30:31,350 --> 00:30:37,090
+كل مصاب بالسرطان الرئة هو مدخن لا مش ضروري
+
+395
+00:30:37,090 --> 00:30:43,210
+بالمناسبة في أحيانا أنا بكون دراستي فقط تتمحور
+
+396
+00:30:43,210 --> 00:30:47,570
+حوالين تحديد ال outlier لأن هذا اللي بكون أنا معنى
+
+397
+00:30:47,570 --> 00:30:53,730
+فيه مثالمثال اللي لما بعمل الـ DNA sequence
+
+398
+00:30:53,730 --> 00:30:58,590
+analysis تحليل الـ DNA عشان الأمراض الوراثية ما هو
+
+399
+00:30:58,590 --> 00:31:01,530
+في بعض الأمراض الوراثية مرتبطة أو الأمراض الوراثية
+
+400
+00:31:01,530 --> 00:31:05,190
+مرتبطة بالـ DNA في شذوذ معين فممكن أنا أروح أعمل
+
+401
+00:31:05,190 --> 00:31:10,530
+بحث عنها و أدور HAN في المنطقة هذه عشان أعمل
+
+402
+00:31:10,530 --> 00:31:13,850
+detection أن HAN في outlier و ما تنساش أنه إحنا
+
+403
+00:31:13,850 --> 00:31:18,300
+لما عرضنا منالـ Descriptive Tasks تبع الـ Data
+
+404
+00:31:18,300 --> 00:31:21,400
+Mining كانت واحدة منهم تحديد الـ Outlier لكن كمان
+
+405
+00:31:21,400 --> 00:31:25,060
+مرة يا جماعة الخير بنرجع بنقول إن وجود الـ Outlier
+
+406
+00:31:25,060 --> 00:31:31,860
+في الـ Data بيسحب .. بيسحب ال result باتجاه منحنة
+
+407
+00:31:31,860 --> 00:31:39,460
+مختلف تماما .. تماما .. لو أنت كنت بتعلم .. الله
+
+408
+00:31:39,460 --> 00:31:44,390
+مصلي عليك .. ولد صغير عملية الضربجداول الدرب و
+
+409
+00:31:44,390 --> 00:31:50,550
+روحت في لحظة .. حفظته جد .. من التنين للستة حفظته
+
+410
+00:31:50,550 --> 00:31:57,150
+ليه صح و في السابعة .. في السابعة عند قيمتين ..
+
+411
+00:31:57,150 --> 00:32:00,490
+عند قيمتين او في تلت قيمتين .. سبعة و تمانية و
+
+412
+00:32:00,490 --> 00:32:05,250
+تسعة لأن في اللي جابلهم هيصيدك و لا لا .. هيصيدك
+
+413
+00:32:05,250 --> 00:32:08,770
+لأنه هيقارن في القيم السابقة في السابعة و تمانية و
+
+414
+00:32:08,770 --> 00:32:15,500
+تسعة علمتواياهم غلطو بعد هي كانت تروح تقوله مثلا
+
+415
+00:32:15,500 --> 00:32:23,760
+اضرب 27 في 3 او 27 في 6 شو بده يصير وضعه؟ فتقول
+
+416
+00:32:23,760 --> 00:32:27,040
+ليش ان النتيجة .. لازم .. لازم يديني نتيجة صحيحة؟
+
+417
+00:32:27,040 --> 00:32:29,900
+ليش؟ لأنه صار انتقامتين او تلاتة اللي حاطيتله
+
+418
+00:32:29,900 --> 00:32:34,000
+اياهم ضمن سبعين قيمة تقريبا أو ستين .. سبعين قيمة
+
+419
+00:32:34,000 --> 00:32:37,360
+كان فيهم صحيحات حاطيتله تلاتة خطأ لكن هدولة
+
+420
+00:32:37,360 --> 00:32:41,710
+التلاتة الخطأأثروا جداً على النتائج اللي بدها تطلع
+
+421
+00:32:41,710 --> 00:32:45,230
+وبالتالي في الحالة هذه أنا لازم أخلص من ال outlier
+
+422
+00:32:45,230 --> 00:32:53,350
+عشان تبقى النتيجة ترجع عايش لو أضعها الطبيعي هنا
+
+423
+00:32:53,350 --> 00:32:59,490
+هنخد شوية مع بعض في موضوع ال data اللي عندي هل
+
+424
+00:32:59,490 --> 00:33:05,370
+فيها أي جزء صناعيArtificial data يعني الـ data هذه
+
+425
+00:33:05,370 --> 00:33:12,270
+تم إدخالها بشكل صناعي أو بشكل آلي لل data set
+
+426
+00:33:12,270 --> 00:33:19,910
+مثلا،
+
+427
+00:33:19,910 --> 00:33:22,750
+الآن عندنا هان عماد بيقول ناتج عن ال data mining
+
+428
+00:33:22,750 --> 00:33:28,530
+مثلا، بس في برضه عند بعض ال input ممكن تدخل على ال
+
+429
+00:33:28,530 --> 00:33:33,150
+data set بشكل آلي بدون data miningالـ sensors
+
+430
+00:33:33,150 --> 00:33:39,470
+المجسات الآن بدي تسأل نفسك ال data set هاي مينجو
+
+431
+00:33:39,470 --> 00:33:46,130
+سينج ال fabricated data أو ال fake data ال data
+
+432
+00:33:46,130 --> 00:33:54,530
+المزيفة أو المزورة أو ال ال generated data هل هي
+
+433
+00:33:54,530 --> 00:34:00,070
+ممكن تديني real result؟ لأ لأ شوية ال sensor
+
+434
+00:34:00,070 --> 00:34:05,100
+بيعملش generationالـ sensor بيعمل collecting أنا
+
+435
+00:34:05,100 --> 00:34:08,480
+باتكلمش على collecting وعشان قلتلك فيها حنخض شوية
+
+436
+00:34:08,480 --> 00:34:14,400
+الآن كمان مرة البيانات اللي عندي أنا اللي تدخل لل
+
+437
+00:34:14,400 --> 00:34:22,680
+data للنظام مصدرين إما آلة تمام أو human أو human
+
+438
+00:34:22,680 --> 00:34:27,340
+الآن لو أنا ديت بدي أتكلم على database اللي لها
+
+439
+00:34:27,340 --> 00:34:31,860
+علاقة بالتنبؤ هل الجو ماطر أو لاو جيت قولت والله
+
+440
+00:34:31,860 --> 00:34:37,180
+أنا معنى بال temperature و
+
+441
+00:34:37,180 --> 00:34:42,980
+ال .. ال outlook اللي هو المظهر العام للجو و ال
+
+442
+00:34:42,980 --> 00:34:47,060
+humidity و
+
+443
+00:34:47,060 --> 00:34:58,120
+في عندي rainy الجو ماطر yes و no الآن
+
+444
+00:35:01,710 --> 00:35:08,330
+في الحالة هذه ال data set اللي عندي ال temperature
+
+445
+00:35:08,330 --> 00:35:15,250
+ايش مصدرها؟ sensor مصدر الحرارة مظبوط ميزان
+
+446
+00:35:15,250 --> 00:35:21,590
+الحرارة طب ال humidity كذلك فيه sensor بقيس درجة
+
+447
+00:35:21,590 --> 00:35:28,340
+الرطوبة في الجو طب ال outlook ال outlookhuman
+
+448
+00:35:28,340 --> 00:35:33,560
+human بيه مصبوط لازم الإنسان يشوف و هو اللي بيقدر
+
+449
+00:35:33,560 --> 00:35:35,960
+طبعا هاي ال data set بدها كمان ال data عشان احنا
+
+450
+00:35:35,960 --> 00:35:40,140
+اياش التاريخ عشان تصير في عندي unique identifiers
+
+451
+00:35:40,140 --> 00:35:46,340
+لكل role طيب نرجع لل temperature هل في مجال أنا ك
+
+452
+00:35:46,340 --> 00:35:51,960
+human أقدر أو أقرأ درجة الحرارة الحقيقية بدون أي
+
+453
+00:35:51,960 --> 00:35:57,190
+equipment لأمفروغ منها سواء كان الـ equipment هذا
+
+454
+00:35:57,190 --> 00:36:00,950
+مشبوك على الحيط وأنا بدأ أطلع فيه وأقرأ أخد منه
+
+455
+00:36:00,950 --> 00:36:04,790
+درجة الحرارة أو هذا مشبوك الـ equipment مشبوك على
+
+456
+00:36:04,790 --> 00:36:07,930
+ال laptop أو على الجهاز والجهاز هو اللي بياخد منه
+
+457
+00:36:07,930 --> 00:36:12,870
+القراءة ولا لأ في الآخر في الآخر هو أو الجهاز هذا
+
+458
+00:36:12,870 --> 00:36:17,530
+أو ال sensor هذا قرأ القيمة الحقيقية الموجودة
+
+459
+00:36:17,530 --> 00:36:21,370
+وزودني فيها ماعملهاش prediction ماعملهاش
+
+460
+00:36:21,370 --> 00:36:28,700
+generation مصبوط؟ تمامنجي وكذلك في الـ Humidity
+
+461
+00:36:28,700 --> 00:36:32,940
+معناته أن أنا الآن هي في عندي equipment أو بين
+
+462
+00:36:32,940 --> 00:36:40,180
+جسين data تم إدخالها على ال data set بشكل صناعي بس
+
+463
+00:36:40,180 --> 00:36:44,560
+مش بشكل .. مش بذكاء صناعي أنا قاعد بسألك
+
+464
+00:36:44,560 --> 00:36:51,880
+artificial data data مصنعة أو data مصطنعة تمام؟
+
+465
+00:36:51,880 --> 00:36:55,520
+ملاحظ .. ملاحظ الفرق؟ نجي هلأ ال equipment أو عفوا
+
+466
+00:36:55,520 --> 00:37:00,850
+لل outlookواحد قال okay يا دكتور ال outlook كمان
+
+467
+00:37:00,850 --> 00:37:03,110
+إيش اللي أنت عندك؟ قلت بدي أقوله والله هنا في عندي
+
+468
+00:37:03,110 --> 00:37:08,030
+إما الجو هيكون مشمس أو بدي يكون غائم أو غائم جزئيا
+
+469
+00:37:08,030 --> 00:37:15,470
+صحيح cloudy أو sunny partial cloudy و cloudy طب ما
+
+470
+00:37:15,470 --> 00:37:19,230
+أنا بقدر أجيب كاميرا و أصلبها على السماء كده و
+
+471
+00:37:19,230 --> 00:37:26,170
+بتلتقط صورة و بتقوللي إيش الوضع إيش الجو الآنبينفع
+
+472
+00:37:26,170 --> 00:37:32,450
+صح؟ بينفع بس ال value هذه المدخلة ال .. مين اللي
+
+473
+00:37:32,450 --> 00:37:38,850
+أخد decision بناء على الصورة ال AI فصارت هذه
+
+474
+00:37:38,850 --> 00:37:46,510
+artificial data هذه صارت artificial data تخيل أنه
+
+475
+00:37:46,510 --> 00:37:51,830
+أنا في ال data set تبعتي كان عندها ألف record
+
+476
+00:37:51,830 --> 00:37:56,560
+اشتغل عليهم ال humanالف ريكورد اشتغل عليهم ال
+
+477
+00:37:56,560 --> 00:38:05,200
+human لو أنا سألتك في ال outlook قداش نسبة خطأه هو
+
+478
+00:38:05,200 --> 00:38:13,240
+بيقول الجو مشمس غائم .. غائم جزئيا Zero لو أخدنا
+
+479
+00:38:13,240 --> 00:38:19,780
+أي إنسان سوي طلعنا برا هيك في الفضاء كيف الجو يا
+
+480
+00:38:19,780 --> 00:38:24,380
+فلان الله ما شاء الله الشمس اليوم مظبطةولا لأ؟ هو
+
+481
+00:38:24,380 --> 00:38:27,380
+عمل Prediction؟ لأ، بينما الـ Artificial
+
+482
+00:38:27,380 --> 00:38:29,980
+Intelligence أو الـ Machine Learning أو النظام
+
+483
+00:38:29,980 --> 00:38:36,120
+اللي انت عملته بالكاميرا تنبأ بحالة الشمس أو الجو
+
+484
+00:38:36,120 --> 00:38:39,620
+بناءً على الصورة إيش طب تخيل إنه في اللحظة اللي
+
+485
+00:38:39,620 --> 00:38:44,300
+تقلط فيها الصورة كان فيه سحابة صيف مارجة إيش
+
+486
+00:38:44,300 --> 00:38:49,140
+هيقوللي؟ ملاحظ؟ فهنا صار في عندي Prediction هذه
+
+487
+00:38:49,140 --> 00:38:55,240
+Artificial Data نيجي لموضوعالريني الآن بعد كل هذه
+
+488
+00:38:55,240 --> 00:38:59,200
+ال data هذه مدخلة من خلال human أو من خلال أو
+
+489
+00:38:59,200 --> 00:39:03,420
+مدخلة تحت supervision of a human تحت متابعة
+
+490
+00:39:03,420 --> 00:39:09,160
+ومراقبة الإنسان يعني real data نيجي لكمية اليوم
+
+491
+00:39:09,160 --> 00:39:15,000
+هذا كان ماطر أو غير ماطر الآن مين اللي يكتب لي yes
+
+492
+00:39:15,000 --> 00:39:15,280
+و no
+
+493
+00:39:24,100 --> 00:39:29,260
+برضه في عندى حساس للمطار لسه
+
+494
+00:39:29,260 --> 00:39:33,040
+أنا باتكلمش على تنبأ باتكلمش على تنبؤ شوف فى
+
+495
+00:39:33,040 --> 00:39:37,740
+اللحظة اللى انت بتكتب فيها او بتدكر كلمة يتنبأ
+
+496
+00:39:37,740 --> 00:39:43,180
+معناته Artificial Data تمام؟
+
+497
+00:39:43,180 --> 00:39:48,240
+انا قاعد بتكلم على Historical Data Real Data الان
+
+498
+00:39:48,240 --> 00:39:51,540
+هدولة ال الف ريكورد كان ال expert أو خبير الأرصاد
+
+499
+00:39:51,540 --> 00:39:58,370
+الجوية بعينالجو و هو اللي بيسجل الجو كان ماطر أو
+
+500
+00:39:58,370 --> 00:40:06,610
+لأ بعد فترة من الزمن يعني ألف قراءة على تسعين يوم
+
+501
+00:40:06,610 --> 00:40:10,290
+فترة الشتاء مثلا قداش بيطلعوا ع كام سنة جمع ال
+
+502
+00:40:10,290 --> 00:40:16,590
+data هاي ألف على تسعين يا شباب حوالي عشر سنوات
+
+503
+00:40:16,590 --> 00:40:21,330
+تقريبا تقريبا عشر سنوات عشرة ماشي الحال على مدار
+
+504
+00:40:21,330 --> 00:40:26,910
+عشر سنوات هو بيجمع بال result هايإجا واحد شاطر زي
+
+505
+00:40:26,910 --> 00:40:30,830
+كهيك قال له إيش رأيك يا بفلان بناء على ال data
+
+506
+00:40:30,830 --> 00:40:39,190
+اللي عندك أبنيلك نظام .. نظام يتنبأ بحالك الطقس هل
+
+507
+00:40:39,190 --> 00:40:45,010
+الجو هيكون ماطر أو لأ؟ قالك okay زودك بال الف
+
+508
+00:40:45,010 --> 00:40:50,130
+record فدخلت على ال data mining project وصار ال
+
+509
+00:40:50,130 --> 00:40:55,000
+mining project تبعك لما تقوله درجة الحرارة كذاالـ
+
+510
+00:40:55,000 --> 00:41:00,160
+Outlook كذا الـ Humidity كذا يرد عليك يقولك هذا
+
+511
+00:41:00,160 --> 00:41:05,320
+الجو Rainy or not الآن فصار ال system بعد هيك هو
+
+512
+00:41:05,320 --> 00:41:08,040
+اللي يقولك بناءً على الموضوع يتحدده أنت المدخلات
+
+513
+00:41:08,040 --> 00:41:12,720
+من خلال ال sensors وال expert الموجود أو موظف
+
+514
+00:41:12,720 --> 00:41:16,060
+الأرصاد الجوية عشان يقيم الجو ويقولك هذا اليوم بدي
+
+515
+00:41:16,060 --> 00:41:20,420
+يكون ماطر أو لا وصارت ال data ستة بعتك فيها خمس
+
+516
+00:41:20,420 --> 00:41:30,100
+تلاف record يعني قداش ضاف عليهمأربعة آلاف بس
+
+517
+00:41:30,100 --> 00:41:36,220
+الأربعة آلاف دول إيش وصلنا فوق Artificial Data إذا
+
+518
+00:41:36,220 --> 00:41:41,100
+ال data هذه اتاخدت على علّاتها ال data set كلها
+
+519
+00:41:41,100 --> 00:41:43,460
+تترفض ليش؟
+
+520
+00:41:45,190 --> 00:41:49,830
+مش reliable ماقدرش أثق فيها لكن لو كان موظف
+
+521
+00:41:49,830 --> 00:41:55,430
+الأرصاد أو expert هذا بيختبر النظام باستمرار بين
+
+522
+00:41:55,430 --> 00:42:00,430
+قوسين كل مثلا مع نهاية كل أسبوع هو بيسجل ملاحظاته
+
+523
+00:42:00,430 --> 00:42:04,130
+على ورقته ومع نهاية كل أسبوع بياخد عينتين أو تلاتة
+
+524
+00:42:04,130 --> 00:42:08,670
+عشوائيات وبيفحص ال result تبعت ال system أو بيشيك
+
+525
+00:42:08,670 --> 00:42:12,870
+عليها مع كل يوم بيومه وبيتأكد إن ال data هذه صحيحة
+
+526
+00:42:12,870 --> 00:42:18,880
+أو لأبتصير ال data مش artificial بتبطل artificial
+
+527
+00:42:18,880 --> 00:42:26,680
+لأن الناس اللي أقرت وجودها في ال system من ال
+
+528
+00:42:26,680 --> 00:42:30,980
+human وبالتالي أصبحت جزء من ال data اللي موجودة
+
+529
+00:42:30,980 --> 00:42:35,200
+لكن عادة للأسف بعد ما بيصير في عند ناس ال system
+
+530
+00:42:35,200 --> 00:42:39,640
+الناس بتركن و بتبطل التبع السؤال اللي بيطرح نفسك
+
+531
+00:42:39,640 --> 00:42:45,410
+أنا لما بدي أجي أشتغل لاحقاعلى أي منهم أشتغل؟ على
+
+532
+00:42:45,410 --> 00:42:49,890
+الـ 1000 أسأل نفسك إيش الإضافة جابني أتفكر تشتغل
+
+533
+00:42:49,890 --> 00:42:53,230
+إيش الإضافة اللي أنا بدي أقدّمله إياها إذا ال
+
+534
+00:42:53,230 --> 00:42:56,870
+system اللي عنده بيعمل prediction لحالة المقرر نعم
+
+535
+00:42:56,870 --> 00:43:05,130
+أو لا بنسبة 100% عمدار السنوات الماضية كلها،
+
+536
+00:43:05,130 --> 00:43:08,670
+الأربع سنوات الماضية أو الأربعين، إيش حد في اللي
+
+537
+00:43:08,670 --> 00:43:11,610
+وانت؟ولا شيء، وبالتالي أنت مش لازم تشتغل في المجال
+
+538
+00:43:11,610 --> 00:43:16,230
+هذا لأن الـ domain هذا أو المنطقة هذه closed،
+
+539
+00:43:16,230 --> 00:43:20,010
+شبعت، تمام يا شباب؟ وبالتالي لما أنا بتكلم على
+
+540
+00:43:20,010 --> 00:43:27,550
+artificial data إن الـ data كان القرار فيها يعود
+
+541
+00:43:27,550 --> 00:43:33,850
+أو لبنائها لآلة، تمام؟ والآلة هذه unreliable، مش
+
+542
+00:43:33,850 --> 00:43:38,080
+موثوق فيها لك من اليوم كلنا بنفق بال sensorsولا لأ
+
+543
+00:43:38,080 --> 00:43:41,700
+بس ال sensors مابتاخدش قرار ال sensor بتديني value
+
+544
+00:43:41,700 --> 00:43:45,280
+بتعمل collection والقرار برجع لل human أو لل
+
+545
+00:43:45,280 --> 00:43:52,440
+system الموجود تمام يا جماعة الخير؟ واضحة الأمور؟
+
+546
+00:43:52,440 --> 00:43:57,700
+كذلك من ال generic question المفروض اللي أنا
+
+547
+00:43:57,700 --> 00:44:03,780
+أطرحها على نفسي هل في أي unique identifier للروز؟
+
+548
+00:44:06,150 --> 00:44:09,830
+يعني الصفوف اللي عندي هذه فيه لها معرف أساسي
+
+549
+00:44:09,830 --> 00:44:12,930
+primary
+
+550
+00:44:12,930 --> 00:44:17,050
+key يعني بينجو سين في primary key الأصل يكون في ال
+
+551
+00:44:17,050 --> 00:44:22,430
+database هاي في عند مين ال date زي ما كتبنا هنا
+
+552
+00:44:22,430 --> 00:44:30,290
+للطالب في المدرسةرقم الهوية للطالب في وزارة ال ..
+
+553
+00:44:30,290 --> 00:44:34,390
+للولد في وزارة الصحة رقم الهوية طب ليش أنا محتاج
+
+554
+00:44:34,390 --> 00:44:39,150
+الـ Identifier هذا؟ عشان شغلتين الأولى .. الأولى
+
+555
+00:44:39,150 --> 00:44:45,330
+عشان أتأكد إن الـ data هذه مش duplicate ال data
+
+556
+00:44:45,330 --> 00:44:50,990
+يعني قد تتشابه الظروف يجيني يوم درجة الحرارة سبعة
+
+557
+00:44:50,990 --> 00:44:59,800
+و cloudyتمام؟ ولو humanity ومافيش مضر ممكن يجيني
+
+558
+00:44:59,800 --> 00:45:03,160
+يومين في السنة زي بعض زي هيك لكن إيش اللي بيضمنني
+
+559
+00:45:03,160 --> 00:45:08,560
+إن هدولة rows يومين مختلفين التاريخ اللي هو ال
+
+560
+00:45:08,560 --> 00:45:13,500
+identifier ال field اللي موجود عندها الشغل التاني
+
+561
+00:45:13,500 --> 00:45:17,080
+اللي بتلزمني ليش أنا محتاج ال identifier لما بحتاج
+
+562
+00:45:17,080 --> 00:45:21,740
+أعمل integration عشان أعمل integration بدي أعمل
+
+563
+00:45:21,740 --> 00:45:25,550
+integration between two sourcesعندي رقم الطالب في
+
+564
+00:45:25,550 --> 00:45:28,190
+المدرسة رقم .. عفوا رقم هويت الطالب في المدرسة
+
+565
+00:45:28,190 --> 00:45:32,410
+وعندي رقم هويته في وزارة الصحة في التربية والتعليم
+
+566
+00:45:32,410 --> 00:45:36,450
+ووزارة الصحة عشان باعتمادي على رقم الهوية بقدر
+
+567
+00:45:36,450 --> 00:45:39,310
+أعمل match و أعمل integration ما بين ال two
+
+568
+00:45:39,310 --> 00:45:44,550
+records اللي موجودين هنا ولا لأ؟ لو مافيش عندي ال
+
+569
+00:45:44,550 --> 00:45:49,230
+identifier هذا أو المعرف هذا مش هقدر أجمع البيانات
+
+570
+00:45:49,230 --> 00:45:51,410
+صح وبالتالي بيانة بيكون فيها مشكلة
+
+571
+00:45:54,130 --> 00:45:59,570
+الـ unique identifier فعليًا هو unique موجود بـ
+
+572
+00:45:59,570 --> 00:46:03,350
+unique و لا .. لو تكرر .. ممكن يصير فيه تكرار لازم
+
+573
+00:46:03,350 --> 00:46:09,530
+يكون unique طب لو صار فيه تكرار شو يعني؟ يعني بهمش
+
+574
+00:46:09,530 --> 00:46:12,130
+.. الآن .. هذه الفكرة .. هذا الأسئلة بتقرح يعني
+
+575
+00:46:12,130 --> 00:46:16,110
+الآن بينفع .. هيك هتاجي أقول بينفع أنا ألاقي طالب
+
+576
+00:46:16,110 --> 00:46:18,990
+في المدرسة أو طالبين اثنين اثنين في المدرسة اللي
+
+577
+00:46:18,990 --> 00:46:23,930
+هم نفس الرقملأ، الآن لجيت نفس رقم الهوية و لجيت
+
+578
+00:46:23,930 --> 00:46:28,710
+واحد تسعين والتاني خمسة و تمانين لأ، في مشكلة هان،
+
+579
+00:46:28,710 --> 00:46:32,510
+بدي أحلها، فعشان هي كان لازم أفهم أن المفروض ال
+
+580
+00:46:32,510 --> 00:46:35,070
+identifier اللي يكون unique فعليًا، هل هو actually
+
+581
+00:46:35,070 --> 00:46:39,830
+unique؟ و لو لجيت فيه تكرار، شو يعني التكرار هذا؟
+
+582
+00:46:39,830 --> 00:46:43,130
+يعني على سبيل المثال، على سبيل المثال، نيجي نقول
+
+583
+00:46:43,130 --> 00:46:47,690
+والله الطالب، رقم هويت الطالب، مثلا هيك أنا مش
+
+584
+00:46:47,690 --> 00:46:53,530
+قولت، قولت رقم هويت الطالبتمام؟ لكن هل هو كافي
+
+585
+00:46:53,530 --> 00:46:56,810
+فعليًا يكون ك unique identifier في سجله المدرسي؟
+
+586
+00:46:56,810 --> 00:47:00,730
+قالك لا يا عمي رقم الطالب والمستوى الدراسي هدولة
+
+587
+00:47:00,730 --> 00:47:03,990
+مع بعض لأن الطالب هذا موجود عندنا في المدرسة لمدة
+
+588
+00:47:03,990 --> 00:47:11,630
+عشر سنوات وعلى كل سنة فيه إله record جديد اه ..
+
+589
+00:47:11,630 --> 00:47:16,610
+معناته صار عند ال key هذا مش بس رقم الهوية صار في
+
+590
+00:47:16,610 --> 00:47:22,680
+عنده رقم الهوية والمستوى تبع الطالببينما في
+
+591
+00:47:22,680 --> 00:47:27,900
+المزارة الصحية فقط رقم الهوية وبالتالي أنا بدي
+
+592
+00:47:27,900 --> 00:47:31,620
+أنتبه و أفهم شو يعني لو صار فيه تكرار أو القيمة
+
+593
+00:47:31,620 --> 00:47:36,320
+المفروض اللي تكون مكررة لو .. لو ظهرت بتكرار ليش
+
+594
+00:47:36,320 --> 00:47:42,660
+ظهرت؟ حكينا في الموضوع الـ Join إنه فعليا لو كان
+
+595
+00:47:42,660 --> 00:47:46,680
+في عندي Two Data Sets والمفروض أنا بدي أروح أجمعهم
+
+596
+00:47:46,680 --> 00:47:50,200
+مع بعض لازم يكون في عندي Unique Identifier طيب
+
+597
+00:47:51,090 --> 00:47:55,330
+لاجيب طالب اللي له سجل في المدرسة وما لاجيبلهش سجل
+
+598
+00:47:55,330 --> 00:48:00,370
+في وزارة الترابي أو في الصحة شو يعني؟ شو بدي أساوي
+
+599
+00:48:00,370 --> 00:48:03,370
+في ال record هذا؟ هل ممكن أروح أعبي زي ما يقول
+
+600
+00:48:03,370 --> 00:48:09,830
+محمد هان؟ اه ولا أروح أحذف ال record كله؟ كمان؟
+
+601
+00:48:09,830 --> 00:48:13,240
+طيب الشغل التانيOkay البيانات اللي أنا أخدتها من
+
+602
+00:48:13,240 --> 00:48:16,120
+وزارة التربي والتعليم لطلاب المرحلة الإبتدائية أو
+
+603
+00:48:16,120 --> 00:48:19,560
+المرحلة الأساسية كانت عشر تلاف record بناء على رقم
+
+604
+00:48:19,560 --> 00:48:24,360
+الهوية ولمّا روحت على وزارة الصحة راحت دوني اتناشر
+
+605
+00:48:24,360 --> 00:48:29,240
+.. اتناشر الف record اتدوني .. بالضبط فلازم أنا
+
+606
+00:48:29,240 --> 00:48:32,880
+أكون فاهم أنه فيه ناس ممكن تكون إيش مادخلتش مدرسة
+
+607
+00:48:32,880 --> 00:48:38,060
+و هدول غالبا عددهم الفين وروحت لما بدأت أفدور لأ
+
+608
+00:48:38,060 --> 00:48:41,920
+يا عم اللي جيته أنه فيه كمان بياناتفي بيانات كمان
+
+609
+00:48:41,920 --> 00:48:47,420
+أنه فعليًا مش بس الألف اللي مش رايح المدرسة والألف
+
+610
+00:48:47,420 --> 00:48:50,540
+التاني ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+611
+00:48:50,540 --> 00:48:50,720
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+612
+00:48:50,720 --> 00:48:50,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+613
+00:48:50,840 --> 00:48:51,400
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+614
+00:48:51,400 --> 00:48:51,700
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+615
+00:48:51,700 --> 00:48:53,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+616
+00:48:53,840 --> 00:48:53,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+617
+00:48:53,840 --> 00:48:53,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+618
+00:48:53,840 --> 00:48:53,840
+.. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب .. ب
+
+619
+00:48:53,840 --> 00:49:01,940
+.. ب .. ب .. ب .. ب ..
+
+620
+00:49:01,940 --> 00:49:06,680
+ب
+
+621
+00:49:07,820 --> 00:49:11,080
+طب شو الحل؟ شو بدي أسوي مع هيك record؟ أنت بدك
+
+622
+00:49:11,080 --> 00:49:15,800
+تاخد قرار في حينها إن إيش بدي أخلي وإيش بدي أحدث
+
+623
+00:49:15,800 --> 00:49:24,320
+وهل الحدث هو الحل عندي وجديش نسبته، تمام؟
+
+624
+00:49:24,320 --> 00:49:31,140
+وزي ما قلنا جديش نسبة الشغلات من الأسئلة المهمة
+
+625
+00:49:31,140 --> 00:49:37,130
+اللي تترحى على نفسك كمانإيش الـ data الـ available
+
+626
+00:49:37,130 --> 00:49:39,850
+لل task؟ روحت أنا و الله يا وزارة الصحة قالتلي في
+
+627
+00:49:39,850 --> 00:49:45,710
+عند meeting instance للمرض الفلاني، مش كافية، هل
+
+628
+00:49:45,710 --> 00:49:51,290
+في مجال أدور على مصادر بديلة أو ممكن أعمل
+
+629
+00:49:51,290 --> 00:49:54,690
+integration؟ باجي على سبيل المثال، نقول مثلا مرض
+
+630
+00:49:54,690 --> 00:50:01,390
+الثلاثيمية مرض وراثي يصيب فقط سكان منطقة الحوض
+
+631
+00:50:01,390 --> 00:50:05,960
+البحر الأبيض المتوسطعندي فى فلسطين مالجتش مثلا
+
+632
+00:50:05,960 --> 00:50:10,120
+data set وانا حابب اشتغل على المرض هذا فممكن أطرق
+
+633
+00:50:10,120 --> 00:50:13,020
+أبواب تانية فى المنطقة بس بينفعش أروح على جنيوب
+
+634
+00:50:13,020 --> 00:50:16,700
+أفريقيا أسألهم في عنكوا data set عن المرض هذا ليش؟
+
+635
+00:50:16,700 --> 00:50:20,680
+لأنه مش شائع فانا بدور على مصادر البيانات المختلفة
+
+636
+00:50:20,680 --> 00:50:26,060
+أنا بدي أعمل diagnosis ل certain virusومش ملاقي
+
+637
+00:50:26,060 --> 00:50:29,260
+dataset في بلدي طب ما أنت ممكن تلاقي dataset موجود
+
+638
+00:50:29,260 --> 00:50:32,820
+available من خلال مختبرات عالمية أو إلى آخره ممكن
+
+639
+00:50:32,820 --> 00:50:37,580
+تكون مجانية أو ممكن تكون مدفوعة فحسب ال task اللي
+
+640
+00:50:37,580 --> 00:50:43,240
+أنت إيش بدك تشتغل عليها زي ما قلنا جداش ال data
+
+641
+00:50:43,240 --> 00:50:46,160
+هذي relevant طبعا المصادر التانية جداش ممكن تكون
+
+642
+00:50:46,160 --> 00:50:50,700
+relevant و جداش ال additional relevant available
+
+643
+00:50:50,700 --> 00:50:55,180
+جداش حجمهمفانت فعلياً بلزمك في مرحلة إعداد
+
+644
+00:50:55,180 --> 00:50:57,320
+البيانات أو فهم البيانات وال system وتجميع
+
+645
+00:50:57,320 --> 00:51:03,660
+البيانات شغل كتير قداش حجم ال data المتاحة عندك
+
+646
+00:51:03,660 --> 00:51:09,120
+وذكرنا سابقاً ال expert ماصار expert إلا من واقع
+
+647
+00:51:09,120 --> 00:51:14,460
+تجربة سابقة أو قوية فتيجي تقولي والله أنا إلي مثلا
+
+648
+00:51:14,460 --> 00:51:17,860
+عشر تجاربالـ 10 تجارب هدول بيختلفوا عن المية
+
+649
+00:51:17,860 --> 00:51:21,820
+والمية هدول بيختلفوا تماما عن الألف طبعا بتكلم
+
+650
+00:51:21,820 --> 00:51:24,300
+اختلافهمين في حجم ال knowledge العائد على ال
+
+651
+00:51:24,300 --> 00:51:32,220
+expert تمام؟ وبالتالي كل ما كانت عفوا كل ما كانت
+
+652
+00:51:32,220 --> 00:51:38,200
+ال data historical أكبر كل ما كانت أفضل السؤال هل
+
+653
+00:51:38,200 --> 00:51:45,080
+في علاقة بين ال history و ال size؟ الأصل أهالأصل
+
+654
+00:51:45,080 --> 00:51:49,220
+أه لأن ال instances هدول أو ال rows هاي ما تراكمت
+
+655
+00:51:49,220 --> 00:51:54,960
+إلا مع مرور الوقت بس طبعا ممكن الوقت يكون قصير زي
+
+656
+00:51:54,960 --> 00:51:58,280
+ما في ال time series أو في ال temporal data ولا
+
+657
+00:51:58,280 --> 00:52:01,880
+لأ، ممكن الوقت يكون قصير أو يكون طويل، حسب ففعليا
+
+658
+00:52:01,880 --> 00:52:06,180
+في ارتباط، في عناصر لكن السؤال اللي بيطرح نفسه
+
+659
+00:52:06,180 --> 00:52:11,140
+الآن هل بينفع التعامل مع مرض ال influenza قبل
+
+660
+00:52:11,140 --> 00:52:15,500
+خمسين سنة مثل اليوم؟هذه برضه سؤال مهم أطرحه في الـ
+
+661
+00:52:15,500 --> 00:52:19,380
+Historical data عندي بيانات عن مرضى الـ influenza
+
+662
+00:52:19,380 --> 00:52:24,520
+أو مرضى الكوليرة قبل 100 سنة أروح أقول والله أنا
+
+663
+00:52:24,520 --> 00:52:27,280
+بدي أعمل system كذا كذا بناء على ال data قبل 100
+
+664
+00:52:27,280 --> 00:52:32,040
+أو 150 سنة غالبا .. غالبا هذه ممكن تكون useless
+
+665
+00:52:32,040 --> 00:52:36,040
+فأنا بدي يكون ال history تبعتي ال data مفيد
+
+666
+00:52:36,040 --> 00:52:42,500
+بالنسبة لي مش بس بالحجم لأ كمان إيش في واقعحسب إذا
+
+667
+00:52:42,500 --> 00:52:45,360
+أنا والله بدأ أقول والله اللي كان يأثر عليهم في ال
+
+668
+00:52:45,360 --> 00:52:48,300
+.. في الفترة الزمنية الفلانية اللي كانوا عندهم
+
+669
+00:52:48,300 --> 00:52:50,920
+ماكانوش بيعرفوا اللقاح مثلا كذا أو مابيعرفوش
+
+670
+00:52:50,920 --> 00:52:54,800
+التغذية الفلانية فكان بيأثر okay بصير هذا بتفرج بس
+
+671
+00:52:54,800 --> 00:52:59,280
+بيقولوا هاي دراسة بأثر رجع عشان تعرف ليش .. إيش
+
+672
+00:52:59,280 --> 00:53:03,480
+اللي كان يصير هناك دراسة تحليلية تمام أكثر منها
+
+673
+00:53:03,480 --> 00:53:05,580
+دراسة تنبؤية بيش بالمستقبل
+
+674
+00:53:08,500 --> 00:53:11,720
+ممكن أصير أدور على تاريخ المرض هذا بس هي مش بس في
+
+675
+00:53:11,720 --> 00:53:15,560
+المرض كمان حتى في الحروب وفي الاقتصاد وفي السياسة
+
+676
+00:53:15,560 --> 00:53:19,440
+ممكن أنا أدرس أو أعمل شغلات كتيرة لكن زي ما قلتلك
+
+677
+00:53:19,440 --> 00:53:25,620
+هذه عادة ما بنسميها احنا دراسات تحليلية تمام؟ أكثر
+
+678
+00:53:25,620 --> 00:53:32,980
+منها من أجل التنبؤ لاحقا آخر سؤال تقريبا هنا في ال
+
+679
+00:53:32,980 --> 00:53:37,420
+question أو ال general question مين هو ال expert؟
+
+680
+00:53:38,090 --> 00:53:42,350
+في الـ domain إيش
+
+681
+00:53:42,350 --> 00:53:45,170
+ال data expert؟ who is the data expert and the
+
+682
+00:53:45,170 --> 00:53:50,770
+domain expert؟ الآن لما أنت روحت على وزارة الصحة
+
+683
+00:53:50,770 --> 00:53:58,270
+وطلبت أعينات لل CT ولا صورة مقطعية أو كده حضرتك مش
+
+684
+00:53:58,270 --> 00:54:03,410
+خبير وبنفعش تفتي تقول الصورة هذه مصاب وهذا غير
+
+685
+00:54:03,410 --> 00:54:09,360
+مصاب هذا مصاب وهذا سليم، بنفع؟ مافعشبدك .. بدك
+
+686
+00:54:09,360 --> 00:54:14,820
+اتنين يكونوا معاك expert في التعامل مع ال data لبن
+
+687
+00:54:14,820 --> 00:54:18,580
+النوع هذا و هلا يتحارجيك أنواع البيانات اللي فعلا
+
+688
+00:54:18,580 --> 00:54:21,540
+احنا هنشتغل عليها مع ال course هذا تبعنا و بدك
+
+689
+00:54:21,540 --> 00:54:24,280
+expert في ال domain عشان ال expert في ال domain
+
+690
+00:54:24,280 --> 00:54:28,800
+دوره يقيملي .. يقيم أداء ال system اللي هاطلعه
+
+691
+00:54:28,800 --> 00:54:31,640
+يقيم ال knowledge اللي انا بده أطلعها يقول لأ يا
+
+692
+00:54:31,640 --> 00:54:35,220
+عم لأ في مشكلة في غلط في ال system هذه و هذه و هذه
+
+693
+00:54:35,220 --> 00:54:40,700
+ال system شخصهم غلطتمام؟ فبدنا نحاول نعيد تدريب
+
+694
+00:54:40,700 --> 00:54:44,480
+الـ system مرة تانية بزيادة ال data أو الأخرين ال
+
+695
+00:54:44,480 --> 00:54:49,240
+expert في ال data اللي انت بدأت تشتغل عليها برأيك
+
+696
+00:54:49,240 --> 00:54:53,740
+في فهم البيانات ممكن هذا مايتوفرش ويتوفر التاني
+
+697
+00:54:55,470 --> 00:54:59,470
+تمام؟ عادة في عليك جهد كبير في فهم البيانات عشان
+
+698
+00:54:59,470 --> 00:55:03,510
+هيك بقولك كل ما كان في عندك expert في ال data اللي
+
+699
+00:55:03,510 --> 00:55:06,830
+انت بتشتغل فيها مهم وكل ما كان في عندك expert في
+
+700
+00:55:06,830 --> 00:55:09,330
+ال domain أهم لأن هو ده بده يعمل evaluation معاك
+
+701
+00:55:09,330 --> 00:55:17,650
+لاحقا لكن برضه هذه تكلفة عالية بعد
+
+702
+00:55:17,650 --> 00:55:23,530
+المقدمة هاي بديك تاخد دقيقة من الآن تفكر ان ال
+
+703
+00:55:23,530 --> 00:55:35,840
+data اللي عندنا هناكم نوع؟ ال data كم نوع؟ لسه
+
+704
+00:55:35,840 --> 00:55:39,520
+في ال data preparation في ال data collection قبل
+
+705
+00:55:39,520 --> 00:55:43,460
+ما أقول بسم الله المفروض في ال mining أبدأ ايش؟
+
+706
+00:55:43,460 --> 00:55:47,300
+أسأل نفس الأسئلة هذه عشان أقدر أفهم ال data لأن
+
+707
+00:55:47,300 --> 00:55:49,540
+الموجودات كلهم تحت عنوان ال data understanding
+
+708
+00:55:52,930 --> 00:55:55,650
+فكر بضيقك يا جدش أنواع البيانات المختلفة اللي
+
+709
+00:55:55,650 --> 00:55:59,910
+عندنا أنواع
+
+710
+00:55:59,910 --> 00:56:05,710
+البيانات أربع أنواع dynamic structured وهي ال data
+
+711
+00:56:05,710 --> 00:56:10,950
+ال organized in tables أو relation ده تم رتبه
+
+712
+00:56:10,950 --> 00:56:15,650
+ولمّا بتكلم structured البيانات مش هتطلع عن النمط
+
+713
+00:56:15,650 --> 00:56:16,010
+هذا
+
+714
+00:56:18,950 --> 00:56:24,030
+الها schema معينة السؤال بيطرح نفسه هل ال json
+
+715
+00:56:24,030 --> 00:56:30,490
+object structured؟ لأ، هناك ناس قالت هنا لأ مين
+
+716
+00:56:30,490 --> 00:56:36,290
+بيقول ان ال json object structured data؟ ممكن يكون
+
+717
+00:56:36,290 --> 00:56:40,390
+ممكن أحولها و ممكن أحول ال structure ل json
+
+718
+00:56:40,390 --> 00:56:44,430
+structured
+
+719
+00:56:44,430 --> 00:56:49,490
+بس مش ملزم يعني مانفهاش زيك مطلقابدون قيود بين
+
+720
+00:56:49,490 --> 00:56:52,210
+جسين الجيسون object .. في حد الشباب بيعرفش إيش
+
+721
+00:56:52,210 --> 00:56:57,170
+يعني جيسون object؟ في حد بيعرفش إيش يعني جيسون
+
+722
+00:56:57,170 --> 00:57:06,170
+object؟ آه يا ياسر، ليوسف عفوا، إيش يعني جيسون؟
+
+723
+00:57:06,170 --> 00:57:14,420
+نظام ترميز لل data، آه محمدjson object الان ال
+
+724
+00:57:14,420 --> 00:57:17,760
+json object هي عبارة عن اول شي json اختصار ل
+
+725
+00:57:17,760 --> 00:57:22,540
+object او ل java عفوا notation object java
+
+726
+00:57:22,540 --> 00:57:26,120
+notation ماهي javascript notation object okay
+
+727
+00:57:26,120 --> 00:57:33,960
+javascript notation object object notation عشان
+
+728
+00:57:33,960 --> 00:57:34,740
+ترتيب الحروف
+
+729
+00:57:45,890 --> 00:57:52,070
+Json عشان تتضحلك الصورة افترض المثال التالي عند ال
+
+730
+00:57:52,070 --> 00:58:02,890
+student ID 123 name Hashem
+
+731
+00:58:02,890 --> 00:58:06,250
+نجلنا
+
+732
+00:58:06,250 --> 00:58:11,730
+معدلك يا Hashem كمل 95
+
+733
+00:58:13,380 --> 00:58:19,340
+يا فرحتك يا أستاذنا خمسة وتسعين الان ال json أو ال
+
+734
+00:58:19,340 --> 00:58:23,120
+javascript ال json object بياخد الشكل هذا هو عبارة
+
+735
+00:58:23,120 --> 00:58:28,200
+عن مجموعة من ال key و ال values مجموعة من ال key و
+
+736
+00:58:28,200 --> 00:58:32,980
+ال values الان ال json object هو عبارة عن semi
+
+737
+00:58:32,980 --> 00:58:33,600
+structured
+
+738
+00:58:41,340 --> 00:58:45,740
+ليش semi-structured؟ لأنه ممكن أنا قاعد يقوله عند
+
+739
+00:58:45,740 --> 00:58:54,220
+ال student name أو ال name سامح
+
+740
+00:58:54,220 --> 00:59:00,460
+ال ID 124
+
+741
+00:59:00,460 --> 00:59:07,490
+وماعنديش ال GPA لاحظ اختلف في الترتيب؟تمام؟ ومافيش
+
+742
+00:59:07,490 --> 00:59:12,530
+عندياش الـ GPA وعدد ال .. في عدد ال .. ال bears
+
+743
+00:59:12,530 --> 00:59:16,350
+عدد الأزواج مختلف الموجودة لأن كل واحد بنسميه احنا
+
+744
+00:59:16,350 --> 00:59:21,270
+key و value بنسميه bear عدد الأزواج مختلف وبالتالي
+
+745
+00:59:21,270 --> 00:59:26,670
+هو structured لأنه مكون من bears but semi
+
+746
+00:59:26,670 --> 00:59:31,250
+-structured لأنه عدد ال bears وترتيبهم مش ثابت
+
+747
+00:59:32,450 --> 00:59:35,950
+وعادة ما بينعملش عليه validation إلا غير manual
+
+748
+00:59:35,950 --> 00:59:44,670
+تمام؟ لكن تخيل في الجدول الجدول لما بيجيك جدول أو
+
+749
+00:59:44,670 --> 00:59:48,760
+باجي بقولك هاي في instance من الجدول الفلانيفيش
+
+750
+00:59:48,760 --> 00:59:51,820
+مجال يعني العمود الأول يعني العمود الأول العمود
+
+751
+00:59:51,820 --> 00:59:55,180
+التالت يعني التالت الخامس يعني الخامس ممكن يكون
+
+752
+00:59:55,180 --> 00:59:58,000
+فيه missing value ممكن يكون مكتوب لـ null و لا لأ
+
+753
+00:59:58,000 --> 01:00:01,040
+وبالتالي هذه الفرق بين الـ semi-structured و ال
+
+754
+01:00:01,040 --> 01:00:05,660
+unstructured ال data unstructured هي عبارة عن كل
+
+755
+01:00:05,660 --> 01:00:09,740
+البيانات اللي فيها أو ال files اللي بتحتوي على
+
+756
+01:00:09,740 --> 01:00:14,340
+binary سواء كانت text audio video image image
+
+757
+01:00:14,340 --> 01:00:24,310
+unstructuredالـ image unstructured؟ الـ matrix من
+
+758
+01:00:24,310 --> 01:00:31,830
+كام بعض؟ إذا كنت بتكلم black and white من بعدين
+
+759
+01:00:31,830 --> 01:00:38,610
+إذا كنت بتكلم grey scale بتكلم من تلاتة بصرف بتكلم
+
+760
+01:00:38,610 --> 01:00:46,030
+RGB بتكلم على أربعة أربعة dimension مصبوط؟طب أتكلم
+
+761
+01:00:46,030 --> 01:00:51,910
+على Full HD؟ هذا لسه جداش حجم المصفوفة؟ بدي أرجع
+
+762
+01:00:51,910 --> 01:00:55,250
+معاك للبداية خالص الـ Colored Image أو عفوا الـ
+
+763
+01:00:55,250 --> 01:01:00,850
+Black and White Image جداش حجمها؟ 2×2؟ 10×10؟ هو
+
+764
+01:01:00,850 --> 01:01:04,490
+Two Dimension؟ 2D؟ مختفقين حجم الصورة أو عدد
+
+765
+01:01:04,490 --> 01:01:09,890
+الـPixels جداش؟ فهذا unstructured يعني اقصد إنه
+
+766
+01:01:09,890 --> 01:01:15,730
+مافيش شغلة ثابتة أسقطها على كل الـData Type هايلكن
+
+767
+01:01:15,730 --> 01:01:20,410
+لما باجي بتكلم أنا جدول الطلاب جدول الطلاب جدول
+
+768
+01:01:20,410 --> 01:01:23,450
+الطلاب مافيش مجال بدي أكون كل البيانات اللي موجودة
+
+769
+01:01:23,450 --> 01:01:28,050
+فيه كذلك في عندي التصنيفين التانين اللي هي الـ
+
+770
+01:01:28,050 --> 01:01:33,690
+Dynamic وفي عندي الـ Static في عندي Dynamic وعندي
+
+771
+01:01:33,690 --> 01:01:38,670
+Static الـ Dynamic هي عبارة عن ال data اللي بتتغير
+
+772
+01:01:38,670 --> 01:01:44,290
+باستمرار ال content تبعتها بتتغير باستمرار الصورة
+
+773
+01:01:44,290 --> 01:01:49,140
+Dynamic يا شبابالـ Audio Dynamic تسجيل المحاضرة
+
+774
+01:01:49,140 --> 01:01:53,720
+تبعتنا هذا Dynamic لأ لأنه خلاص الملف متى ما اتصدر
+
+775
+01:01:53,720 --> 01:02:00,820
+الملف هيبقى الملف كما هو لو شهدناه مليون مرة هيبقى
+
+776
+01:02:00,820 --> 01:02:06,300
+ثابت مش هيتغير حسب جودة الـ Net، ماشي الحال لكن
+
+777
+01:02:06,300 --> 01:02:12,080
+تخيل ملفات ال word أو ملفات ال text اللي عندكأو
+
+778
+01:02:12,080 --> 01:02:15,360
+الـ Text المحطوط على الـ Blogs أو على الشبكات
+
+779
+01:02:15,360 --> 01:02:20,560
+التواصل الإجتماعي Dynamic ولا Static؟ Dynamic بين
+
+780
+01:02:20,560 --> 01:02:24,720
+كل لحظة والتانية ممكن فلان حط Post حذفه، لأ عدل
+
+781
+01:02:24,720 --> 01:02:28,420
+على ال Post اللي أضافه أجيه Comment جديدة، مصبوط؟
+
+782
+01:02:28,420 --> 01:02:31,480
+بس هاي، لأ كمان الـ Financial الـ Time Series Data
+
+783
+01:02:31,480 --> 01:02:36,280
+الـ Stock Market Data هذه كل دقيقة أو كل ثانية
+
+784
+01:02:36,280 --> 01:02:39,520
+ممكن تصير عليه إيش Update، فبسميها Dynamic Data
+
+785
+01:02:39,520 --> 01:02:44,570
+وين ما بيصير فيه Ending؟تغيير frequently فبسميها
+
+786
+01:02:44,570 --> 01:02:49,110
+dynamic و ال static data عكسها تماما اللي هي في ال
+
+787
+01:02:49,110 --> 01:02:52,950
+images و ال audio و ال video إلى آخرها هذه
+
+788
+01:02:52,950 --> 01:02:56,810
+المربعات اللي احنا شوفناها فعليا في المقدمة في
+
+789
+01:02:56,810 --> 01:03:01,350
+اللقاء الأول هي أنواع البيانات طبعا و علاقتها مع
+
+790
+01:03:01,350 --> 01:03:04,710
+بعض ممكن يكون في عندي structured و dynamic و في
+
+791
+01:03:04,710 --> 01:03:08,540
+عندي unstructuredو Dynamic ممكن يكون في عندي
+
+792
+01:03:08,540 --> 01:03:12,880
+Structured و Static و في عندي Structured و
+
+793
+01:03:12,880 --> 01:03:16,440
+Unstructured و Static احنا في ال data mining في ال
+
+794
+01:03:16,440 --> 01:03:22,720
+course هذا هنشتغل وين؟ Structured و Static هان
+
+795
+01:03:22,720 --> 01:03:27,880
+ليش؟ لأنه أسهل له و أنا لسه عمالي بدي أتعلم كيه
+
+796
+01:03:27,880 --> 01:03:31,020
+بدي أتعامل مع ال data لأنه يا جماعة الخير أنا هاخد
+
+797
+01:03:31,020 --> 01:03:35,470
+algorithm ال machine learning بده يبني خبرةتمام؟
+
+798
+01:03:35,470 --> 01:03:37,970
+عشان ياخد decision أو يديني معرفة بناءً على الـ
+
+799
+01:03:37,970 --> 01:03:43,290
+data طب ال data لو بدها تتغير باستمرار معناته أنا
+
+800
+01:03:43,290 --> 01:03:47,950
+بحاجة أن ال knowledge هذه اللي بدها تتصدر بدأ
+
+801
+01:03:47,950 --> 01:03:50,830
+باستمرار وعمليات ال learning في ال machine
+
+802
+01:03:50,830 --> 01:03:54,710
+learning مختلفة في batch وفي online وتقنيات هذه
+
+803
+01:03:54,710 --> 01:03:59,830
+غير عن هذه و ال performance تبعت هذه غير عن هذه
+
+804
+01:03:59,830 --> 01:04:03,530
+فاحنا الآن لسه بدنا نتعلم data mining فأنسب حاجة
+
+805
+01:04:03,530 --> 01:04:08,120
+إلنا وين؟أتعلم مع مين؟ مع الـ Static Data اللي
+
+806
+01:04:08,120 --> 01:04:11,480
+عادة بتكون ناتج الـ Business Intelligence Systems
+
+807
+01:04:11,480 --> 01:04:15,040
+أو في الـ Data Warehousing يعني بين جثين الـ Data
+
+808
+01:04:15,040 --> 01:04:20,500
+Structured و Static ليش الـ ERP هذا Structured؟
+
+809
+01:04:20,500 --> 01:04:25,480
+كيف كان؟ وين؟ هذه الـ ERP اختصار للـ Environmental
+
+810
+01:04:27,730 --> 01:04:31,450
+لأ لأ، فإنها علاقة بالبيئة ففي الآخر لما أنا بدأ
+
+811
+01:04:31,450 --> 01:04:36,710
+أتكلم في الـ .. في الـ system إذا بدك ال .. ال ..
+
+812
+01:04:36,710 --> 01:04:39,650
+environmental resource management مالهاش .. مالهاش
+
+813
+01:04:39,650 --> 01:04:43,830
+داخل يعني فبالبيئة هي dynamic كل فكرة بتتغير
+
+814
+01:04:43,830 --> 01:04:49,910
+الشيء؟ ال business intelligence آه، الآن هل كل شيء
+
+815
+01:04:49,910 --> 01:04:53,470
+هيتغير؟ ال rule اللي انبنت يا صاحبي ثابتة بس
+
+816
+01:04:53,470 --> 01:04:58,220
+النتائج لازم تتغير مين قال إنها بتتغير؟الـ rule
+
+817
+01:04:58,220 --> 01:05:02,100
+الآن إذا الـ rule بيقول واحد زائد واحد يساوي تلاتة
+
+818
+01:05:02,100 --> 01:05:08,080
+فالنتائج تبع ال system هذا تلاتة كل ما تجي input
+
+819
+01:05:08,080 --> 01:05:14,280
+واحد وواحد مش هيتغير، مصبوط؟ إلا لو أنا روحتش قعدت
+
+820
+01:05:14,280 --> 01:05:19,250
+تعليمه، قعدت تعليمه، في الآخر staticليش؟ لأنه
+
+821
+01:05:19,250 --> 01:05:21,530
+عبارة كمان مرة شباب في ال business intelligence
+
+822
+01:05:21,530 --> 01:05:24,750
+أنا عندي عبارة عن مجموعة من ال rules اللي انبنت
+
+823
+01:05:24,750 --> 01:05:30,350
+بناء على ال knowledge السابقة هضلني أستخدمها لحد
+
+824
+01:05:30,350 --> 01:05:33,110
+ما يصير في عندي knowledge جديدة وهذه لن تكون إلا
+
+825
+01:05:33,110 --> 01:05:36,410
+في واحد من اتنين إما أعمل retraining أو إعادة
+
+826
+01:05:36,410 --> 01:05:41,330
+تعليم لل model تبعي أو ال system تبعي يكون بتعلم
+
+827
+01:05:41,330 --> 01:05:44,550
+لوحده self learning model نعم
+
+828
+01:05:47,450 --> 01:05:52,730
+اه إيش .. إيش نقحة؟ الآن المؤمن بيسأل الـ data
+
+829
+01:05:52,730 --> 01:05:56,250
+اللي collecting by web scraper اللي .. اللي خلنا
+
+830
+01:05:56,250 --> 01:06:01,150
+نقول المتجمعين أو .. اللي إيش بيسموه متصيدين؟ لأ
+
+831
+01:06:01,150 --> 01:06:04,390
+مش كلها ضد القانون في مثلا الـ Twitter بتزودك ببعض
+
+832
+01:06:04,390 --> 01:06:07,830
+ال .. ال APIs اللي تبدأ تتجرد فكلها .. في بعضها
+
+833
+01:06:07,830 --> 01:06:10,610
+legal وفي illegal مش قضيتنا الآن لكن السؤال اللي
+
+834
+01:06:10,610 --> 01:06:15,130
+بيطرح نفسه إيش البيانات اللي أنا باخدها منه؟ إذا
+
+835
+01:06:15,130 --> 01:06:20,650
+أنا باخد textفباخد unstructured data طبعا أخدت ال
+
+836
+01:06:20,650 --> 01:06:24,330
+data set الكوربوس هذه و رميتها عندي على جهازي و
+
+837
+01:06:24,330 --> 01:06:28,530
+علمت النظام أول مرة و رجعت علمته بعد شهرين على نفس
+
+838
+01:06:28,530 --> 01:06:32,730
+ال data set و علمته بعد تلت أشهر هذه أصبحت في نطاق
+
+839
+01:06:32,730 --> 01:06:38,770
+.. في نطاق ال static data ما تغيرش جديد عنديتمام؟
+
+840
+01:06:38,770 --> 01:06:43,630
+لكن لو هذا ال document مع كل عملية learning أو بين
+
+841
+01:06:43,630 --> 01:06:46,310
+كل فترة والتانية بيصير عليه تغيير حتى لو كان عندي
+
+842
+01:06:46,310 --> 01:06:50,350
+على جهازي هذا بسميه dynamic تمام؟
+
+843
+01:06:52,750 --> 01:06:56,390
+في كل مجال بيصير في mining الآن يا جماعة الخير لو
+
+844
+01:06:56,390 --> 01:06:59,010
+احنا و ال course تبعنا اسمه data science أو علوم
+
+845
+01:06:59,010 --> 01:07:03,850
+بيانات المفروض بدي أتعامل مع كل هذه الأنواع لأن
+
+846
+01:07:03,850 --> 01:07:07,190
+عملية ال data collection و ال data preparation لكل
+
+847
+01:07:07,190 --> 01:07:12,690
+نوع مختلفة الآن بدي أعمل بدي أبني features من
+
+848
+01:07:12,690 --> 01:07:16,050
+الصورة غير عن ال features اللي بدي أبنيها من ال
+
+849
+01:07:16,050 --> 01:07:21,610
+text طب ما هي واحدة dynamic و واحدةstatic ولا لأ
+
+850
+01:07:21,610 --> 01:07:26,750
+بتفرج تماما عن ال audio بتفرج معايا عن ال video
+
+851
+01:07:26,750 --> 01:07:31,450
+streaming ال life فكل واحدة إلها processing خاصة
+
+852
+01:07:31,450 --> 01:07:35,210
+في جمع البيانات وفي محضير البيانات لعملية ال
+
+853
+01:07:35,210 --> 01:07:40,030
+mining تمام؟تي اي سؤال يا جماعة الخير؟ احنا اليوم
+
+854
+01:07:40,030 --> 01:07:43,710
+هيك .. هنحنجف والمحاضرة ان شاء الله تعالى هنبدأ
+
+855
+01:07:43,710 --> 01:07:47,170
+نتكلم عن ال data set بس إيه الشغلة أخرى قبل ما
+
+856
+01:07:47,170 --> 01:07:50,830
+تطلع الشباب؟ الآن اليوم ان شاء الله تعالى هحط على
+
+857
+01:07:50,830 --> 01:07:54,190
+ال model أول ما تدخل على صفحتنا فيه المنتدى،
+
+858
+01:07:54,190 --> 01:07:58,070
+المنتدى التنقيب البيانات هتكون فيه مجموعة أو فيه
+
+859
+01:07:58,070 --> 01:08:03,130
+زي boss محطوط في أسماء المجموعات الآن وزعوا نفسكوا
+
+860
+01:08:03,130 --> 01:08:07,820
+الأربعاتتلاتة أو أربعة تلاتة الحد الأدنى أربعة
+
+861
+01:08:07,820 --> 01:08:14,640
+الحد الأقصى كمجموعة وواحد منكوا بيعمل reply على ال
+
+862
+01:08:14,640 --> 01:08:17,740
+boss تبعي باسم المجموعة يعني هو اللي بيعمل reply
+
+863
+01:08:17,740 --> 01:08:20,760
+وبيقول احنا مجموعتنا مكوّنة فلان وفلان وفلان بذكر
+
+864
+01:08:20,760 --> 01:08:24,720
+الأسام الأشخاص التلاتة أو التانين اللي معاه شرايك
+
+865
+01:08:24,720 --> 01:08:28,520
+بدهم يعملوا مش like لأنه ماعناش ال like بس بدهم
+
+866
+01:08:28,520 --> 01:08:31,220
+يأكدوا له ان okay تمام احنا في المجموعة مع فلان
+
+867
+01:08:32,470 --> 01:08:36,990
+Okay بعد ما تخلص الأمور لو لقيت واحد لحاله هحطه في
+
+868
+01:08:36,990 --> 01:08:41,170
+مجموعة من المجموعات اللي أنا بأرتقيها بشكل مناسب
+
+869
+01:08:41,170 --> 01:08:42,250
+الله عطيكم العافية
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA.srt
new file mode 100644
index 0000000000000000000000000000000000000000..368de665f2ea7dd427bbef9294031aa20bf0e185
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA.srt
@@ -0,0 +1,2725 @@
+
+1
+00:00:05,260 --> 00:00:07,360
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,360 --> 00:00:11,680
+أهلا وسهلا بالشباب اليوم إن شاء الله فعليا هندخل
+
+3
+00:00:11,680 --> 00:00:17,320
+في الـ introduction لـ data mining و سنتكون في بعض
+
+4
+00:00:17,320 --> 00:00:20,180
+المعلومة، يعني slide أو اثنتين من المحاضرة الماضية
+
+5
+00:00:20,180 --> 00:00:24,450
+لكن بدي أحدا من الذين كانوا موجودين المرة الماضية
+
+6
+00:00:24,450 --> 00:00:27,430
+يذكرني شو يعني .. شو data mining؟ شو يعني تنقيب
+
+7
+00:00:27,430 --> 00:00:32,070
+البيانات؟ كنت المرة الماضية؟ ها .. ها في ناس من
+
+8
+00:00:32,070 --> 00:00:34,410
+الناس الذين لم يكونوا  المرة الماضية، يا رامي، و جاي
+
+9
+00:00:34,410 --> 00:00:37,410
+حاميانة و تريد أن تعرف لنا الـ data mining، عرف data
+
+10
+00:00:37,410 --> 00:00:42,410
+mining، رامي، هو استخراج information من الـ data أو
+
+11
+00:00:42,410 --> 00:00:45,270
+استخراج أي knowledge من الـ data، استخراج knowledge
+
+12
+00:00:45,270 --> 00:00:48,610
+ولا information، information، information، أيوة، أيش
+
+13
+00:00:48,610 --> 00:00:51,110
+كلمة تعرفها أنت؟ نفس الـ issue، نفس الـ issue
+
+14
+00:00:57,750 --> 00:01:03,410
+استخراج non-implicit data that's non-trivial and
+
+15
+00:01:03,410 --> 00:01:09,630
+new، مظبوط، كيف بقى تقول؟ بس مش data ولا
+
+16
+00:01:09,630 --> 00:01:12,830
+information، knowledge،  قلنا data mining
+
+17
+00:01:12,830 --> 00:01:15,850
+equivalent to knowledge extraction، أنا أدور على
+
+18
+00:01:15,850 --> 00:01:17,470
+معرفة، طيب
+
+19
+00:01:20,540 --> 00:01:24,860
+الـ outline تبع المحاضرة هذه إن شاء الله، لو اللي
+
+20
+00:01:24,860 --> 00:01:28,780
+بيخلص فيها سنُجِف بإذن الله،  الذي سنتكلم على الـ
+
+21
+00:01:28,780 --> 00:01:31,820
+definition تبع الـ data mining، بعد هيك ننتقل لـ
+
+22
+00:01:31,820 --> 00:01:35,440
+knowledge discovery process، وراها سنتكلم على الـ
+
+23
+00:01:35,440 --> 00:01:38,940
+data mining as a multidisciplinary discipline أو
+
+24
+00:01:38,940 --> 00:01:42,340
+field، و  الـ tools، مع نهاية الشابتر الذي سنتكلم
+
+25
+00:01:42,340 --> 00:01:48,580
+عليه، طبعا عندنا هرم المعرفة أو هرم البيانات
+
+26
+00:01:48,580 --> 00:01:51,780
+المعروف، طبعا كنا دردشنا عليه المحاضرة الماضية لأنه
+
+27
+00:01:51,780 --> 00:01:54,120
+على ما يبدو أن بعض الناس لم تكن موجودة على
+
+28
+00:01:54,120 --> 00:01:59,160
+السريع، نحن عادة عندنا الـ Data، و اسم المساق
+
+29
+00:01:59,160 --> 00:02:04,240
+تبعنا Data Mining، لاحظوا Data Mining، Database،
+
+30
+00:02:04,240 --> 00:02:10,400
+إيش فيه كمان Data؟ Data Structure، كمان واحدة data
+
+31
+00:02:10,400 --> 00:02:14,060
+science، data analysis، كل شيء يركز على الـ data
+
+32
+00:02:14,060 --> 00:02:18,020
+لأنه فعليا هي الـ raw material تبعتك، زي ما
+
+33
+00:02:18,020 --> 00:02:22,080
+المنقبون عن الذهب و المعادن يبحثون عن التربة، أنت
+
+34
+00:02:22,080 --> 00:02:26,420
+التربة تبعتك وين؟ الـ data، فلما نحن من الآن عندنا
+
+35
+00:02:26,420 --> 00:02:32,320
+الـ data متوفرة، الـ data هذه في سياق معين، أو لو أن
+
+36
+00:02:32,320 --> 00:02:35,680
+وضعت فيه سياق صحيح تصبح information
+
+37
+00:02:38,570 --> 00:02:43,850
+تصبح معلومة، المعلومة هذه لو حكمتها قوانين تصبح
+
+38
+00:02:43,850 --> 00:02:49,730
+معرفة، أو المعلومة هذه لو أضفنا لها قوانين تصبح
+
+39
+00:02:49,730 --> 00:02:54,710
+معرفة، تماما لما أنت تأتي تعرف أن عملية الضرب زي
+
+40
+00:02:54,710 --> 00:02:59,730
+ما تعلمت سابقا هي عبارة عن عملية جمع متكرر، وأجي
+
+41
+00:02:59,730 --> 00:03:08,610
+أقول لك هنا 13 في 7، أسوأ شيء، على أسوأ الظروف، لو أنت
+
+42
+00:03:08,610 --> 00:03:13,310
+لست قادر على الضرب، إيش ستذهب تساوي؟ ستجمع الـ 13 سبع
+
+43
+00:03:13,310 --> 00:03:16,210
+مرات، بحيث إنه بناء على الـ knowledge التي أصبحت
+
+44
+00:03:16,210 --> 00:03:20,830
+موجودة عندك أو الـ information التي كونتها، الـ rule
+
+45
+00:03:20,830 --> 00:03:25,310
+ومن ثم أصبحت knowledge، وزي ما قلنا المرة الماضية،
+
+46
+00:03:25,310 --> 00:03:29,290
+الـ knowledge هذه، لو كانت فيها experience، خبرة،
+
+47
+00:03:29,290 --> 00:03:34,470
+تمام، تصبح wisdom، و الحكمة تقتضي أن يكون الإنسان
+
+48
+00:03:34,470 --> 00:03:39,870
+هذا قادرا على اتخاذ القرار و الإجراء الصحيح في
+
+49
+00:03:39,870 --> 00:03:45,390
+الوقت المناسب لتحقيق أفضل ما يصبو إليه أو ما يرنو
+
+50
+00:03:45,390 --> 00:03:48,930
+إليه، و الآن يقول لك فلان حكيم، شو يعني حكيم؟
+
+51
+00:03:48,930 --> 00:03:56,010
+مش ممرض عنده حكمة، يعني رأيه متزن، دائما تشعر أنه
+
+52
+00:03:56,010 --> 00:04:00,400
+صواب، و طبعا الحكمة لا تأتي إلا من خلال خبرة
+
+53
+00:04:00,400 --> 00:04:06,840
+متراكمة مع معرفة قديمة، تمام، what is data mining،
+
+54
+00:04:06,840 --> 00:04:10,620
+data mining is equivalent to knowledge discovery،
+
+55
+00:04:10,620 --> 00:04:14,440
+استخراج المعرفة من البيانات، استخراج المعرفة من
+
+56
+00:04:14,440 --> 00:04:19,880
+البيانات، عرفنا الـ data mining is extraction of
+
+57
+00:04:19,880 --> 00:04:25,560
+interesting patterns، extraction of interesting
+
+58
+00:04:25,560 --> 00:04:27,940
+patterns، مفهوم interesting،
+
+59
+00:04:31,670 --> 00:04:36,790
+أنه non-trivial،  مش تقليدي، مش شغلة عادية، implicit
+
+60
+00:04:36,790 --> 00:04:42,790
+موجود ضمنيا في البيانات، مش أنا بدي أركبه أو بدي
+
+61
+00:04:42,790 --> 00:04:47,850
+أختلقه، لأ هو موجود، بس أنا يعني الآن في لؤلؤ
+
+62
+00:04:47,850 --> 00:04:54,390
+يستخرجونه من البحار، وفي لؤلؤ يصنعونه، و الاثنين زي
+
+63
+00:04:54,390 --> 00:04:58,990
+بعض تقريبا في الجمال، لكن تبقى القيمة للطبيعي
+
+64
+00:04:58,990 --> 00:05:06,290
+أكبر من .. عن الصناعي، previously unknown، سابقا
+
+65
+00:05:06,290 --> 00:05:10,890
+ما أحد يعرف المعرفة هذه، يعني الآن لما في فيثاغورس
+
+66
+00:05:10,890 --> 00:05:15,770
+يتكلم في جدود
+
+67
+00:05:15,770 --> 00:05:21,430
+المثلث قائم الزاوية، قالوا إن مربع الوتر يساوي
+
+68
+00:05:21,430 --> 00:05:27,230
+مجموع مربع الضلعين، أو مجموع مربعات الضلعين، صح؟
+
+69
+00:05:27,630 --> 00:05:33,510
+الآن لو كان في أحد قبله جاء أو وجد النظرية هذه
+
+70
+00:05:33,510 --> 00:05:37,930
+كان سُميت  Pythagoras theorem، نظرية فيثاغورس، ولا شو
+
+71
+00:05:37,930 --> 00:05:42,410
+رأيكم؟ فبالتالي يجب أن تكون المعرفة هذه previously
+
+72
+00:05:42,410 --> 00:05:46,550
+أو الـ pattern هذا previously unknown، potentially
+
+73
+00:05:46,550 --> 00:05:51,130
+useful، يجب أن يكون مفيدا للناس، ممكن أشوف أتكلم أنا في
+
+74
+00:05:51,130 --> 00:05:58,230
+عالم لا يخص الناس، لا يقدم فائدة أو معرفة حقيقية
+
+75
+00:05:58,230 --> 00:06:04,430
+لهم، الـ pattern هذا موجود في داخل huge amount of
+
+76
+00:06:04,430 --> 00:06:11,050
+data، تعريف آخر بسيط، مرادف للتعريف السابق، the non-
+
+77
+00:06:11,050 --> 00:06:15,290
+-trivial process، هي العملية الغير تقليدية، غير
+
+78
+00:06:15,290 --> 00:06:19,290
+تقليدية، دلالة، يعني مش كل الناس ستقوم فيها، of
+
+79
+00:06:19,290 --> 00:06:25,670
+identifying، لتعريف valid، صحيح، و هذا الـ definition
+
+80
+00:06:25,670 --> 00:06:29,630
+لم يكن موجودا سابقا، أو كانت تكافئه كلمة implicit،
+
+81
+00:06:29,630 --> 00:06:33,770
+يعني هو موجود ضمنيا، واقع موجود، فهي مفهوم الـ valid،
+
+82
+00:06:33,770 --> 00:06:41,130
+novel، previously unknown، potentially useful، and
+
+83
+00:06:41,130 --> 00:06:44,890
+ultimately understandable، يجب أن يكون مفهوما، عشان
+
+84
+00:06:44,890 --> 00:06:50,510
+الناس الذين يأخذون عليه action،  يقدرون أن يفهموا إيش الذي
+
+85
+00:06:50,510 --> 00:06:55,530
+أنت استخرجته، طبعا كان واضحا في التعريفين أنهما متفقان
+
+86
+00:06:55,530 --> 00:07:02,450
+على كلمة valid، valid
+
+87
+00:07:02,450 --> 00:07:05,770
+كله موجود، potentially useful، implicit، و valid،
+
+88
+00:07:05,770 --> 00:07:10,490
+يعني أضمن، حقيقي، موجود، يعني مش fake، novel،
+
+89
+00:07:10,490 --> 00:07:14,590
+previously unknown، نفس المعنى، لم أُظهر كثيرا الآن، الـ
+
+90
+00:07:14,590 --> 00:07:17,750
+valid هو عبارة عن arrangement،
+
+91
+00:07:22,600 --> 00:07:26,240
+ترتيب معين و يتكرر، ظهور معين و يتكرر، عشان أقول
+
+92
+00:07:26,240 --> 00:07:31,680
+هذا نمط، لما أجي أقول لجماعة الخير، فلان نمط
+
+93
+00:07:31,680 --> 00:07:35,460
+واحد روتيني،
+
+94
+00:07:35,460 --> 00:07:40,600
+يأتي، نقول والله المحاضر نمط واحد، يتكلم على نفس
+
+95
+00:07:40,600 --> 00:07:46,060
+الموجه من الصوت، لا يغير ولا يبدل، هذا valid نمط،
+
+96
+00:07:46,060 --> 00:07:51,960
+نقوم بالقول والله فلان غير متوقع، لا في الكلمات ولا في
+
+97
+00:07:51,960 --> 00:07:57,500
+الأفعال، ليش؟ لأنه فعليا ليس له نمط ثابت، أنت تقدر
+
+98
+00:07:57,500 --> 00:08:00,800
+تحكم عليه من خلاله، فبالتالي الـ pattern يجب أن يكون
+
+99
+00:08:00,800 --> 00:08:05,180
+فيه specific arrangement، شغلة معينة، و الشغلة هذه
+
+100
+00:08:05,180 --> 00:08:09,740
+عاملها إيش بتتكرر، بدون التكرار لا يكون pattern، مش
+
+101
+00:08:09,740 --> 00:08:14,040
+يكون نمط، مثلا أقول لك الموظف الفلاني نمطه يخرج
+
+102
+00:08:14,040 --> 00:08:19,600
+الساعة الثامنة، يركب سيارته، مثلا الثامنة و نصف يكون في
+
+103
+00:08:19,600 --> 00:08:26,440
+مكان عمله، بعد هيك يرجع، يدخل البيت، لا يخرج، pattern،
+
+104
+00:08:26,440 --> 00:08:33,320
+valid، زي ما قلنا أن هذا يجب أن يكون discovered، أو الـ
+
+105
+00:08:33,320 --> 00:08:38,060
+pattern هذا يجب أن يكون حقيقيا، مش fake، و ليس هذا فقط، لو
+
+106
+00:08:38,060 --> 00:08:44,880
+أنا ذهبت عرضت عليه new instance أو new item، يجب
+
+107
+00:08:44,880 --> 00:08:50,110
+أن يكون دقيقا، إلى مستوى معين، الدقة، لا أقول 100%، ممكن 85
+
+108
+00:08:50,110 --> 00:08:53,570
+تكون كافية بالنسبة لي، ممكن الـ 70 تكون كافية لي،
+
+109
+00:08:53,570 --> 00:09:00,170
+أحيانا novel، يعني
+
+110
+00:09:00,170 --> 00:09:04,330
+لا أحد يعرفه سابقا، زي ما قلنا سابقا، actionable،
+
+111
+00:09:04,330 --> 00:09:10,370
+يترتب عليه action، مهم للناس، و understandable، عشان
+
+112
+00:09:10,370 --> 00:09:18,100
+الناس تستفيد منه، تعالوا نشوف المثال الموجود
+
+113
+00:09:18,100 --> 00:09:22,080
+قدامنا على اللوح، بالمثال الموجود قدامنا على
+
+114
+00:09:22,080 --> 00:09:25,380
+اللوح، افترضوا أنني عندي data set مكونة من
+
+115
+00:09:25,380 --> 00:09:31,180
+خمس صفوف و ثلاثة أعمدة، الـ shape، و الـ color، و الـ
+
+116
+00:09:31,180 --> 00:09:37,760
+weight، shape، و color، و weight، بدي أديك دقيقة أنت
+
+117
+00:09:37,760 --> 00:09:43,100
+و جارك الذي بجانب، حاولوا أن تستخرجوا لي two patterns
+
+118
+00:09:45,020 --> 00:09:53,980
+من الـ data هذه، من الـ data set، أنت
+
+119
+00:09:53,980 --> 00:09:57,100
+و جارك، أنت و جارك، على السريع، عشان نختار و نحاول
+
+120
+00:09:57,100 --> 00:09:59,940
+نكتب على اللوح، أيوة، اعتبروها أول نشاط جماعي في
+
+121
+00:09:59,940 --> 00:10:10,980
+الفصل، لسه two patterns، لا أريد واحدا، أريد اثنين، هي
+
+122
+00:10:10,980 --> 00:10:13,020
+في ناس انتهت من العمل، حصلت على two patterns،
+
+123
+00:10:20,100 --> 00:10:24,560
+أه طيب انتهت، افترضوا أنها انتهت، دقيقة و باقية فيها
+
+124
+00:10:24,560 --> 00:10:29,800
+شوية، كفاية، نبدأ من الآخر خالص، أيوة، أيش أول valid؟
+
+125
+00:10:29,800 --> 00:10:36,460
+مش أنت، لأ عم مش عبدالله، أنت، أيوة أيوة، لو كان
+
+126
+00:10:36,460 --> 00:10:47,170
+if shape equal box then color equal Red، يعني بكل
+
+127
+00:10:47,170 --> 00:10:52,970
+بساطة، طيب
+
+128
+00:10:52,970 --> 00:10:55,670
+شوية، أنتم لماذا جمعتم؟ ولا بيكونوا جمعوني أنا، لا
+
+129
+00:10:55,670 --> 00:10:59,210
+يا جماعة للهداية، نحن قلنا with some degree of
+
+130
+00:10:59,210 --> 00:11:06,190
+certainty، لا نقول 100%، وبالتالي كلامه صحيح، تمام؟
+
+131
+00:11:06,190 --> 00:11:12,090
+الآن شوية بس هذا ممكن .. هذا ممكن أنا أكتبه، اكتبوا
+
+132
+00:11:12,090 --> 00:11:16,190
+if within، أو ممكن أقوله بكل بساطة بلغة أسهل من
+
+133
+00:11:16,190 --> 00:11:21,430
+الهَمَكة كثيرا، أي شغلة حمرة .. أي .. أي صندوق أحمر أو
+
+134
+00:11:21,430 --> 00:11:26,470
+كل الصناديق حمرة، هي pattern، فأنت المفروض لما تريد
+
+135
+00:11:26,470 --> 00:11:31,830
+أن تصيغ الـ pattern، تصيغه بنمط يكون understandable
+
+136
+00:11:31,830 --> 00:11:35,790
+عشان نقدر الناس أن تفهم إيش الذي تفعل، نعم، من كان
+
+137
+00:11:35,790 --> 00:11:40,390
+يتكلم هنا؟ لأ، سكبته خلاص؟ أيوة، وراء، الآخر
+
+138
+00:11:44,460 --> 00:11:57,480
+آها if الـ color equal blue then الـ weight equal
+
+139
+00:11:57,480 --> 00:12:02,440
+400، غيره،
+
+140
+00:12:02,440 --> 00:12:07,860
+يا
+
+141
+00:12:07,860 --> 00:12:11,740
+أبو حميد، أبو
+
+142
+00:12:11,740 --> 00:12:12,300
+حاسم، يلا
+
+143
+00:12:15,930 --> 00:12:21,090
+آها، بدأ شكل valid مختلف، اعتمد على الـ valid من
+
+144
+00:12:21,090 --> 00:12:25,750
+السابق، لكن جاب شغلة جديدة، لو كان الـ box .. لو كان
+
+145
+00:12:25,750 --> 00:12:32,050
+box .. أي shape .. أي shape .. لم يتكلم على الـ box
+
+146
+00:12:32,050 --> 00:12:38,590
+عدّله الذي بجانبه، جاءه الأشكال التي أوزانها أقل من
+
+147
+00:12:38,590 --> 00:12:44,090
+400، فهي حمرة، طيب ممتاز، خلينا هذه الـ .. blue ..
+
+148
+00:12:44,090 --> 00:12:51,410
+blue حمرة، أيوة، لو كان أزرق، وزنه 400، الآن أقل
+
+149
+00:12:51,410 --> 00:12:59,530
+من الـ 400 فهو أحمر، هذا الذي تقوله، طب
+
+150
+00:12:59,530 --> 00:13:06,390
+مش .. مش ملاحظ أن هذا ممكن يكون، هنا سؤال، مش
+
+151
+00:13:06,390 --> 00:13:10,270
+ملاحظ أنه ممكن يكون الـ .. بكثير من الذي تتكلم
+
+152
+00:13:10,270 --> 00:13:14,110
+و already زميلك ذكره، هنا لأنه لو لم يكن وزنه
+
+153
+00:13:14,110 --> 00:13:20,150
+400، معناه هو ليس، عندي النفي، مظبوط، لما
+
+154
+00:13:20,150 --> 00:13:29,070
+تنفيه، الآن if then أو الـ by implies بالـ discrete
+
+155
+00:13:29,070 --> 00:13:35,550
+mathematics، لما تنفيه، إيش يصبح نفيه؟ not or،
+
+156
+00:13:35,550 --> 00:13:40,130
+مظبوط، طيب، الآن هذا valid، لأن أفضل، هذه الـ two
+
+157
+00:13:40,130 --> 00:13:46,030
+valid، نزلنا عندي و فهمناهم، جيد، بدي أحدا الآن ماهرا
+
+158
+00:13:46,030 --> 00:13:48,630
+فيكم، يقول لي إيش الـ action التي ممكن أنا آخذه
+
+159
+00:13:48,630 --> 00:13:55,970
+عليهم، تعمل
+
+160
+00:13:55,970 --> 00:14:00,790
+test لخط الإنتاج، test لخط الإنتاج، إذا كان الـ box
+
+161
+00:14:00,790 --> 00:14:03,830
+الذي يأتي أحمر و وزنه فوق الـ 300 يكون non valid،
+
+162
+00:14:03,830 --> 00:14:07,850
+أه، يعني مثلا زميلنا قال والله أنا الـ validity تبعتي
+
+163
+00:14:07,850 --> 00:14:12,900
+مبنية على اللون الأحمر أو اللون الأزرق، لأ، ممكن يكون
+
+164
+00:14:12,900 --> 00:14:16,740
+في .. اثنتان موجودتان عندي هنا .. بس بدي ..
+
+165
+00:14:16,740 --> 00:14:21,280
+بتخزين، تعمل .. تصميم، تعمل .. طيب .. بتخزين، تعمل ..
+
+166
+00:14:21,280 --> 00:14:21,480
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+167
+00:14:21,480 --> 00:14:21,620
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+168
+00:14:21,620 --> 00:14:21,800
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+169
+00:14:21,800 --> 00:14:22,380
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+170
+00:14:22,380 --> 00:14:23,380
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+171
+00:14:23,380 --> 00:14:26,040
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين، تعمل ..
+
+172
+00:14:26,040 --> 00:14:38,200
+بتخزين، تعمل .. بتخزين، تعمل .. بتخزين
+
+173
+00:14:38,200 --> 00:14:42,390
+تعمل .. يعني ممكن أنا أستفيد فيها في الموضوع
+
+174
+00:14:42,390 --> 00:14:47,530
+التخزين 100
+
+175
+00:14:47,530 --> 00:14:
+
+223
+00:19:39,860 --> 00:19:45,600
+فلوس أو ربح، أقول محتمل، وهان صارت في عندي خسارة
+
+224
+00:19:45,600 --> 00:19:53,340
+أكيدة أها، تلاحظ أنه بالمثال هذا أنه أنا فعلياً
+
+225
+00:19:53,340 --> 00:19:58,980
+فعلياً في خسارة في كل الأحوال، كل خط من الخطوط فيه
+
+226
+00:19:58,980 --> 00:20:03,500
+risk ولا لا، فيه مخاطرة، بس من المخاطرة الأقل
+
+227
+00:20:03,500 --> 00:20:08,320
+بالنسبة ليه؟ الخط هذا اللي في الوسط، هذا واحد يقول
+
+228
+00:20:08,320 --> 00:20:11,340
+للدكتور: وين المخاطر في الموضوع؟ أنت هدول كلهم
+
+229
+00:20:11,340 --> 00:20:15,340
+دافعين؟ لا يا عم أنت خسرت مبالغ من المال مؤكدة في
+
+230
+00:20:15,340 --> 00:20:21,580
+الدفع، كانت هتكون هذه أرباحهم، كانت أكيدة بالنسبة لك
+
+231
+00:20:21,580 --> 00:20:24,980
+هتقول لي ضمنت هدول الاثنين؟ ما هي في الآخر فيها risk
+
+232
+00:20:24,980 --> 00:20:31,120
+مصبوط، وبالتالي أنت بدك decision، فالآن الـ pattern
+
+233
+00:20:31,120 --> 00:20:34,160
+اللي هنطلع فيه هذا
+
+234
+00:20:37,630 --> 00:20:41,050
+زي ما احنا متفقين إنه هذا أفضل... ليش؟ أفضل خط
+
+235
+00:20:41,050 --> 00:20:46,650
+ممكن نشتغل معاه، تمام؟ الآن بدنا نسقط المعايير
+
+236
+00:20:46,650 --> 00:20:50,150
+الثلاثة الأساسية، طبعاً احنا متفقين إنه هذا
+
+237
+00:20:50,150 --> 00:20:55,210
+implicit، مصبوط؟ مش fake، هذه الـ data حقيقية، و
+
+238
+00:20:55,210 --> 00:20:59,170
+حاولنا نحط خط هان بمثل رقم الـ K، دي قيمة الـ salary
+
+239
+00:20:59,170 --> 00:21:04,690
+اللي أنا بناء عليها بدي أقرر أقبل أو أرفض طلب
+
+240
+00:21:04,690 --> 00:21:05,110
+القرض.
+
+241
+00:21:08,950 --> 00:21:13,810
+Is it valid؟ بما أني حطيتها صورة، مش مشكلة الآن.
+
+242
+00:21:13,810 --> 00:21:19,950
+السؤال الأول، هل هذا valid؟ أه، احنا قلنا valid
+
+243
+00:21:19,950 --> 00:21:24,730
+with some degree of certainty، إلى حد ما، ممتاز.
+
+244
+00:21:24,730 --> 00:21:30,890
+جدّاش نثبت صحة الكلام هذا؟
+
+245
+00:21:30,890 --> 00:21:35,690
+عدد الأحمر على عدد الأزرق، لأ، عدد المختلف على
+
+246
+00:21:35,690 --> 00:21:43,410
+العدد الكلي، المفروض أن كله أحمر، فيه اثنين أزرق، و
+
+247
+00:21:43,410 --> 00:21:47,370
+اثنين أحمر، المفروض كله أزرق، فبيصير قدّاش؟ أربعة
+
+248
+00:21:47,370 --> 00:21:51,110
+مختلفة، يعني هدول الأربعة هم المشكلة اللي عندي، صح؟
+
+249
+00:21:51,110 --> 00:21:57,230
+هدول اللي أنا هخطئ فيهم، قدّاش نسبتهم على عدد النقاط
+
+250
+00:21:57,230 --> 00:22:02,670
+كلها؟ هذه بجيب أنا الـ risk rate، بينما الـ Validity
+
+251
+00:22:02,670 --> 00:22:08,130
+Rate تبعتها هي عدد الـ decisions الصحيحة على عدد
+
+252
+00:22:08,130 --> 00:22:12,810
+العدد الكلي، ففعلياً عدد النقاط الزرق اللي هان، و عدد
+
+253
+00:22:12,810 --> 00:22:17,530
+النقاط الحمراء اللي هان، على المجموع الكلي للنقاط.
+
+254
+00:22:17,530 --> 00:22:23,830
+تمام؟ فبالتالي هذا الـ pattern هو فعلياً valid with
+
+255
+00:22:23,830 --> 00:22:31,050
+some degree of certainty، بتصل إلى 86% تقريباً.
+
+256
+00:22:32,310 --> 00:22:40,670
+هل هو novel؟ novel إذا كانت الـ K هذه مختلفة عن الـ
+
+257
+00:22:40,670 --> 00:22:43,450
+... عن الـ K أو القيمة اللي بيعتمد عليها البنك
+
+258
+00:22:43,450 --> 00:22:48,890
+سابقاً، يعني ممكن البنك كان بيعتمد على قيمة أكبر، هو
+
+259
+00:22:48,890 --> 00:22:52,670
+أنا أثبت له إنه عمال بيخسر، أو البنك فعلياً بيعتمد
+
+260
+00:22:52,670 --> 00:22:56,290
+على قيمة أقل، وأثبت له أنا فعلياً عماله بيخسر، قلت له
+
+261
+00:22:56,290 --> 00:23:04,140
+أفضل K هيها، إذا كانت الـ K غير معروفة، تمام تماماً مثل
+
+262
+00:23:04,140 --> 00:23:07,760
+ما واحد ييجي يقول لي الآن من قوانين الفيزياء أن قيمة
+
+263
+00:23:07,760 --> 00:23:17,340
+القوة الجاذبية الأرضية 9.8، أنت أثبتها الآن؟ معروفة
+
+264
+00:23:17,340 --> 00:23:25,560
+من زمان، لكن لو إجي قال لي لأ هي مش 9.8 هي 9.72
+
+265
+00:23:25,560 --> 00:23:31,590
+من عشرة، وأثبت الكلام هذا، معناته هو جاب novel
+
+266
+00:23:31,590 --> 00:23:34,710
+knowledge، موجودة عندنا، بمعناته احنا قلنا الـ
+
+267
+00:23:34,710 --> 00:23:40,090
+better and valid، novel، هل هو useful؟ شو رأيكم؟
+
+268
+00:23:40,090 --> 00:23:43,710
+useful بالنسبة للبنك، و actionable، هيكون يعتمد
+
+269
+00:23:43,710 --> 00:23:49,310
+عليه الشغل، تمام؟ طبعاً سألنا نفسنا سابقاً في
+
+270
+00:23:49,310 --> 00:23:52,370
+المحاضرة الماضية، ليش فعلياً احنا محتاجين قواعد الـ
+
+271
+00:23:52,370 --> 00:23:56,090
+data mining، تنقيب البيانات، لأن فعلياً أنا عمال
+
+272
+00:23:56,090 --> 00:24:01,490
+البيانات بتتضخم بشكل كبير جداً، مصادر البيانات بتتنوع
+
+273
+00:24:01,490 --> 00:24:09,090
+وطرق جمعها أسهل، مصادر البيانات تبعتي في الـ
+
+274
+00:24:09,090 --> 00:24:14,570
+business، و الـ science، كل العلوم، و الـ society، طيب
+
+275
+00:24:14,570 --> 00:24:20,980
+الآن مصادر البيانات بتتنوع: الكاميرا، مواقع التواصل
+
+276
+00:24:20,980 --> 00:24:24,940
+الاجتماعي، مسجلات الصوت، الجوالات، كل هذه عبارة عن
+
+277
+00:24:24,940 --> 00:24:28,740
+مصادر بيانات، ولا لأ؟ اليوم المؤسسات بتقول لك أنا في
+
+278
+00:24:28,740 --> 00:24:30,660
+عندي بيانات في الموضوع الفلاني، بس تعالي اشتغل
+
+279
+00:24:30,660 --> 00:24:34,460
+عليها، فضلاً خذها، و بس اعمل citation  لإنّ، لأن هذا
+
+280
+00:24:34,460 --> 00:24:38,080
+الـ data ملكنا، ما فيش مشكلة، بدي أسأل سؤال الآن، لو
+
+281
+00:24:38,080 --> 00:24:46,280
+طلبت منك تصور أن الآن وزارة المواصلات
+
+282
+00:24:48,260 --> 00:24:54,000
+قررت تعمل برنامج أو تعمل system آلي يتعرف على
+
+283
+00:24:54,000 --> 00:24:58,620
+لوحات السيارات، أو يتعرف على السيارات، ويفحص في الـ
+
+284
+00:24:58,620 --> 00:25:03,380
+database، هل السيارة هذه مرخصة أو غير مرخصة، ويبعت
+
+285
+00:25:03,380 --> 00:25:08,960
+إشعار للدورية اللي بعيدة عن مكان الـ sensor أو
+
+286
+00:25:08,960 --> 00:25:12,690
+الكاميرا اللي موجودة، بعيدة 500 متر، يعني مثلاً
+
+287
+00:25:12,690 --> 00:25:18,130
+تخيلها، نحط البرنامج تبعنا على مفترق الصناعة
+
+288
+00:25:18,130 --> 00:25:24,190
+والدورية واقفة عند الأرقام، الآن، شو تصورك عن هيك
+
+289
+00:25:24,190 --> 00:25:31,810
+برنامج؟ شوية يا مؤمن، أيوة، يكون سريع في الوصول
+
+290
+00:25:31,810 --> 00:25:36,030
+إلى البيانات، أنا زودت البرنامج هذا بخط إنترنت 8
+
+291
+00:25:36,030 --> 00:25:39,270
+ميجا، 8 ميجا، يعني من الـ access على الـ database
+
+292
+00:25:39,270 --> 00:25:40,430
+تبعت الترخيص.
+
+293
+00:25:46,280 --> 00:25:51,240
+مهو عمال أقول لك أنا وفرت لك اتصال internet ممتاز
+
+294
+00:25:51,240 --> 00:25:57,880
+وسريع جداً مع database تبعت الترخيص، بدي
+
+295
+00:25:57,880 --> 00:26:00,680
+image detection عشان يقرأ رقم اللوحة، جاب لي الـ
+
+296
+00:26:00,680 --> 00:26:03,400
+image detection، بدي camera عشان تقرأ اللوحة
+
+297
+00:26:06,790 --> 00:26:09,270
+اللوحات موجودة، انسى، كل اللوحات موحدة، والمفروض
+
+298
+00:26:09,270 --> 00:26:12,750
+كلها شغالة بنفس الـ standard، بشتغل على إنه فعلياً
+
+299
+00:26:12,750 --> 00:26:19,130
+في لوحة على السيارة، والأرقام مقروءة، آه الشباب، إيش
+
+300
+00:26:19,130 --> 00:26:24,790
+اللي هيصير فعلياً؟ أنا الآن بحاجة إلى... أيوة، إن
+
+301
+00:26:24,790 --> 00:26:29,090
+الكاميرا تكون موجودة، تمام، تلتقط الصورة، طبعاً
+
+302
+00:26:29,090 --> 00:26:33,810
+لاحظ... تخيل، تخيل هيك، إنه بدل... بدل البرنامج هذا
+
+303
+00:26:33,810 --> 00:26:37,890
+إنسان قاعد ماسك الجوال أو التاب، المتصل مع الوزارة
+
+304
+00:26:37,890 --> 00:26:43,370
+بنفس الخط، شاف السيارة وبيدخل رقمها، طب في لحظة
+
+305
+00:26:43,370 --> 00:26:48,350
+إدخال السيارة الواحدة، في عشر سيارات ثانية دخلت
+
+306
+00:26:48,350 --> 00:26:53,610
+بينما الـ system ممكن يقرأ العشر سيارات هدول في نفس
+
+307
+00:26:53,610 --> 00:26:58,610
+اللحظة، ولا لا؟ الآن الكاميرا هي مصدر بيانات، ومصدر
+
+308
+00:26:58,610 --> 00:27:01,890
+بيانات ضخم جداً، إحنا قاعدين نتكلم على مثال تحديد
+
+309
+00:27:01,890 --> 00:27:06,750
+اللوحات، وفي ناس ممكن تصعد لأكثر، لتحديد الوجوه من
+
+310
+00:27:06,750 --> 00:27:11,070
+الناس اللي قاعدة في السيارة، أه، لأن بكل بساطة مصدر
+
+311
+00:27:11,070 --> 00:27:14,130
+بيانات، والكاميرا موجودة، سواء كانت officially أو
+
+312
+00:27:14,130 --> 00:27:17,530
+legally أو illegally، موجودة سواء كنت شايفها أو غير
+
+313
+00:27:17,530 --> 00:27:22,930
+شايفها، أو أنت مش شايفها، في الآخر بتصور وتحدد الهدف
+
+314
+00:27:22,930 --> 00:27:26,550
+و الـ site تبعتها واسعة، وبتسحب الكل، فالمعلومات سهلة
+
+315
+00:27:26,550 --> 00:27:30,570
+جداً أنك تحصل عليها في أي مجال أنت بدك إياه، يعني مثلاً
+
+316
+00:27:30,570 --> 00:27:34,450
+واحد بيقرر إن الصوت اللي إحنا سمعناه هذا صوت فعلياً
+
+317
+00:27:34,450 --> 00:27:38,930
+مجدّاف، ولا صوت سيارة كانت ماشية بجنبنا، ما شاء الله
+
+318
+00:27:38,930 --> 00:27:45,200
+عليك خبرة، الآن الفكرة إن أنا فعلياً بأبني system، طب
+
+319
+00:27:45,200 --> 00:27:51,000
+الآن عشان الـ system تبعي يكون دقيق، بيلزمه يتعرف على
+
+320
+00:27:51,000 --> 00:27:56,520
+قالب كتابة الأرقام، وقبل ما يتعرف على قالب كتابة
+
+321
+00:27:56,520 --> 00:28:03,340
+الأرقام، يقدر يبحث عن اللوحة، وين في جلب الشاشة؟ طب
+
+322
+00:28:03,340 --> 00:28:05,180
+وين أماكن اللوحات؟
+
+323
+00:28:07,360 --> 00:28:10,420
+بتختلف حسب ارتفاع السيارة، ممكن واحد يحطها على
+
+324
+00:28:10,420 --> 00:28:12,920
+اليمين، ممكن يحطها على الوسط، مظبوط؟ ممكن يحطها في
+
+325
+00:28:12,920 --> 00:28:16,460
+اليسار، فأنت الـ system بدك تدوره، يبحث، وهذا
+
+326
+00:28:16,460 --> 00:28:20,360
+الكلام مش هيصير يتعلمه إلا لما تعرض عليه
+
+327
+00:28:20,360 --> 00:28:24,680
+مجموعة من الصور، لسيارات موجودة، ولكل الاحتمالات
+
+328
+00:28:24,680 --> 00:28:30,360
+عشان فعلاً يتعلموا كيف يبدأ يبحث، طيب، بالتالي
+
+329
+00:28:30,360 --> 00:28:35,070
+الكاميرات الموجودة في الشوارع، موجودة للحكومة، موجودة
+
+330
+00:28:35,070 --> 00:28:38,190
+لأصحاب المحلات، موجودة، وبالتالي أنا في أن تتضخم في
+
+331
+00:28:38,190 --> 00:28:42,850
+حجم البيانات، لدرجة إنه ممكن نغرق فيها، لكنّنا نتضور
+
+332
+00:28:42,850 --> 00:28:48,830
+جوعاً للمعرفة، تمام، هنتقل للخطوة الثانية في الـ
+
+333
+00:28:48,830 --> 00:28:53,850
+knowledge discovery process، لو أنا سألتكم الآن شو
+
+334
+00:28:53,850 --> 00:28:57,810
+بتتوقع، بعيداً عن الناس اللي معاهم الـ slides، شو
+
+335
+00:28:57,810 --> 00:29:04,410
+بتتوقع قدّاش عدد الخطوات أو المراحل اللي أنا همر فيها
+
+336
+00:29:04,410 --> 00:29:15,370
+لحد ما أحصل على الـ knowledge؟ خمسة، سبعة، أيوة، عشرة...
+
+337
+00:29:15,370 --> 00:29:19,350
+هي مش مزاد، ربالكم حاول... حاول تعمل estimation
+
+338
+00:29:19,350 --> 00:29:30,050
+حسب البرنامج، أو حسب الحالة، طيب، أيوة، افترض... افترض
+
+339
+00:29:30,050 --> 00:29:38,120
+المنقب عن الذهب، إيش بيساوي؟ بيبدأ... بيدور على
+
+340
+00:29:38,120 --> 00:29:42,960
+ذهب؟ لأ، بيدوّر... بيبدأ يدور على تربة معينة، قريبة
+
+341
+00:29:42,960 --> 00:29:45,920
+من المناطق البراكين، والحرق، والزلازل، والحركة
+
+342
+00:29:45,920 --> 00:29:49,280
+الأرضية، بيجيش في الشقيقة مثلاً يدور، ولا في غزة في
+
+343
+00:29:49,280 --> 00:29:52,840
+الشاطئ يدور، مصبوط؟ ليش؟ لأن هذه المناطق، طالما هي
+
+344
+00:29:52,840 --> 00:29:57,840
+بعيدة عن المناطق البراكين والزلازل، مش هيطلع
+
+345
+00:29:57,840 --> 00:30:02,360
+بالضبط، ما فيش فرصة إنه يبين الذهب، أو يتجمع، أو يظهر
+
+346
+00:30:03,010 --> 00:30:06,730
+فبالتالي هو بدأ يبحث، وبالتالي أنت كذلك بدأت تبحث
+
+347
+00:30:06,730 --> 00:30:10,470
+عن البيانات اللي موجودة عندك، طيب، لجينا البيانات، و
+
+348
+00:30:10,470 --> 00:30:14,890
+هو حدد التربة، شو بيبدأ يسوي؟ يعني قالوا له والله
+
+349
+00:30:14,890 --> 00:30:18,290
+المنطقة الفلانية، منطقة غنية، ممكن يكون فيها، بديه
+
+350
+00:30:18,290 --> 00:30:21,410
+يبدأ تنقيب مباشرة؟ لا، بديه ياخد عينات، بديه
+
+351
+00:30:21,410 --> 00:30:26,120
+يفحص، بديه يشوف فعلياً فيه موجود ولا ما فيه، مش دي ولا
+
+352
+00:30:26,120 --> 00:30:30,500
+غير، لا، بديه يحاول يعمل pilot study، هذه مش موجودة
+
+353
+00:30:30,500 --> 00:30:35,160
+علينا الآن، لأن لما أنا بدأت أجيب البيانات، تخيل أن
+
+354
+00:30:35,160 --> 00:30:39,840
+احنا بدنا نفحص الوضع، علاقة الوضع الصحي، أو تأثير
+
+355
+00:30:39,840 --> 00:30:45,680
+الوضع الصحي، على تحصيل الطالب في المراحل الإبتدائية
+
+356
+00:30:45,680 --> 00:30:49,700
+الشيء.
+
+357
+00:30:51,640 --> 00:30:54,160
+أما أنا قاعد بقول لك أنا بدي knowledge، أو بدي... بدي
+
+358
+00:30:54,160 --> 00:30:58,180
+أشوف إيش الـ pattern، أو إيش النمط اللي موجود، أو
+
+359
+00:30:58,180 --> 00:31:03,420
+العلاقة اللي موجودة بين الحالة الصحية للطالب، أو
+
+360
+00:31:03,420 --> 00:31:07,980
+للتلميذ، تمام؟ مع مستوى تحصيله العلمي في المرحلة
+
+361
+00:31:07,980 --> 00:31:12,340
+الإبتدائية، الآن تحصيله العلمي بسيطة، بروح على وزارة
+
+362
+00:31:12,340 --> 00:31:14,960
+التربية والتعليم، قالوا يا جماعة الخير، بدنا بيانات
+
+363
+00:31:14,960 --> 00:31:20,350
+الطلاب في المرحلة الإبتدائية، تمام؟ هيه، ما فيش
+
+364
+00:31:20,350 --> 00:31:24,650
+فيها بياناتهم الصحية، بياناتهم الصحية مش موجودة في
+
+365
+00:31:24,650 --> 00:31:27,850
+التربية والتعليم، موجودة وين؟ وزارة الصحة، فاروح
+
+366
+00:31:27,850 --> 00:31:31,450
+وزارة الصحة، هقول لهم: الله، بدي بيانات... بدي بيانات
+
+367
+00:31:31,450 --> 00:31:35,750
+الأطفال اللي موجود... محصورين من سن مثلاً خمس سنوات
+
+368
+00:31:35,750 --> 00:31:40,290
+لكذا، مسجلين في المدارس، إذا كان عنده تصنيف، مسجل، أو
+
+369
+00:31:40,290 --> 00:31:43,970
+غير مسجل في المدرسة، يساعدوني بقلّصها، وإلا هيدوني
+
+370
+00:31:43,970 --> 00:31:45,870
+اتفضل، هي الفئة العمرية اللي أنت طلبتها كلها يا
+
+371
+00:31:45,870 --> 00:31:50,260
+عزيزي، إيش رح تسوي بعد هيك؟ أول شيء، بياخذ تعمل match
+
+372
+00:31:50,260 --> 00:31:53,300
+بتصفّي اللي جبتها من الصحة، عشان تعمل match، لو أنا
+
+373
+00:31:53,300 --> 00:31:57,560
+بدي بيانات الطالب كاملة... طيب، وبعد هيك تعمل بينهم
+
+374
+00:31:57,560 --> 00:32:03,120
+integration، ولا شو رأيك؟ هي مرحلة ثانية، الآن في
+
+375
+00:32:03,120 --> 00:32:07,060
+قبل المرحلة هذه... قبل مرحلة الـ integration، في
+
+376
+00:32:07,060 --> 00:32:10,840
+مرحلة بنسميها الـ cleaning، الـ cleaning، أنا مش كل الـ
+
+377
+00:32:10,840 --> 00:32:16,570
+data دي بتلزمني، تمام؟ أه، بدي... مش كل الـ columns
+
+378
+00:32:16,570 --> 00:32:19,790
+بتلزمني، فبحط أحدد، بدي أحدد مين هي الـ columns اللي
+
+379
+00:32:19,790 --> 00:32:24,510
+أستبقي، بعد هيك، بعد الـ integration، في عندي
+
+380
+00:32:24,510 --> 00:32:27,750
+transformation، فاحنا فعلياً بنتكلم على ثمان مراحل
+
+381
+00:32:27,750 --> 00:32:35,570
+شباب، في التعامل مع الـ knowledge discovery
+
+382
+00:32:35,570 --> 00:32:41,550
+databases مختلفة، ممكن أعملها cleaning، مصادرها
+
+383
+00:32:41,550 --> 00:32:45,160
+مختلفة، ممكن database أو data file، بدي أعمل
+
+384
+00:32:45,160 --> 00:32:47,500
+selection، بعدها، بعد الـ integration، أعمل selection
+
+385
+00:32:47,500 --> 00:32:50,700
+و transformation، وأروح على الـ data mining، أعمل
+
+386
+00:32:50,700 --> 00:32:54,200
+evaluation، عشان أتحقق من الـ validity تبعت الـ
+
+387
+00:32:54,200 --> 00:32:58,180
+pattern تبعي، قبل ما أعمله presentation، الخطوة
+
+388
+00:32:58,180 --> 00:33:02,160
+الأولى، احنا بنسميها data cleaning، data cleaning
+
+389
+00:33:02,160 --> 00:33:06,120
+معناته أنا بدي أعمل remove للـ noise data، أو remove
+
+390
+00:33:06,120 --> 00:33:12,400
+للـ inconsistent data، أو أكمل، أو أحذف الـ incomplete
+
+391
+00:33:12,4
+
+445
+00:37:52,200 --> 00:37:56,580
+والتعليم باعتمدوا تاريخ ميلاده لكن في وزارتي الصحة
+
+446
+00:37:56,580 --> 00:38:00,140
+باعتمد التقارير أو الـ database اللي جاتني بتعتمد
+
+447
+00:38:00,140 --> 00:38:05,680
+على الـ age، two different attributes، هدول بصبت؟ two
+
+448
+00:38:05,680 --> 00:38:08,940
+different attributes من ناحية  لكن الـ meaning
+
+449
+00:38:08,940 --> 00:38:15,020
+تبعتهم، المعنى تبعتهم واحدة، common وبالتالي أن هدول
+
+450
+00:38:15,020 --> 00:38:20,280
+حرام التنين يظلو تمام؟ لأن أي attribute أنا هضيفه
+
+451
+00:38:20,280 --> 00:38:24,580
+هيمثل more computation، شو يعني more computation؟
+
+452
+00:38:24,580 --> 00:38:29,100
+ما تقولليش حساب كتير، أيوة يعني الـ performance تبع
+
+453
+00:38:29,100 --> 00:38:35,360
+الـ system تبعي down، هيقل، ممتاز، كذلك، هل كل الـ
+
+454
+00:38:35,360 --> 00:38:42,360
+attribute لها علاقة بالـ .. بالهدف
+
+455
+00:38:42,360 --> 00:38:47,480
+تبعي؟ على سبيل المثال، أنه يمشي نقول والله من ضمن
+
+456
+00:38:47,480 --> 00:38:51,420
+البيانات اللي موجودة، هل الوالد يمتلك سيارة أو لا؟
+
+457
+00:38:51,420 --> 00:38:55,500
+الآن
+
+458
+00:38:55,500 --> 00:39:01,860
+فعلاً بدك تدرس بشكل بسيط، هل في علاقة بين صحة الولد
+
+459
+00:39:01,860 --> 00:39:07,280
+وتحصيله المدرسة وأبوه عنده سيارة أو لا؟ لأ، المنطق
+
+460
+00:39:07,280 --> 00:39:11,760
+بيقول لأ، ولو كلنا صوتنا الآن، عملنا vote تمام، مش
+
+461
+00:39:11,760 --> 00:39:16,920
+صوتنا، صرخنا،  يعني فعلياً هنقول لأ، مافيش علاقة أو
+
+462
+00:39:16,920 --> 00:39:20,420
+بلاش سيارة أبوه، سيارة جيرانهم، هي بعيدة تماماً
+
+463
+00:39:20,420 --> 00:39:24,140
+.. هي مُطلقة .. بعيدة تماماً، وبالتالي أنت هتصير تدور
+
+464
+00:39:24,140 --> 00:39:28,260
+على الـ irrelevant attribute، طيب مثال على attribute
+
+465
+00:39:28,260 --> 00:39:32,960
+دائماً موجود وهو irrelevant، هل علاق .. هناك علاقة
+
+466
+00:39:32,960 --> 00:39:41,820
+بين صحة الطالب واسمه أو تحصيله التعليمي ورقم هويته
+
+467
+00:39:41,820 --> 00:39:46,770
+مثلاً أو اسمه، يعني هل في واحد بيدرسش عشان اسمه
+
+468
+00:39:46,770 --> 00:39:55,630
+عبدالكريم مثلاً أو خالد أو أحمد؟ هل
+
+469
+00:39:55,630 --> 00:40:01,850
+في واحد الـ .. عشان اسمه إياد والله دائماً مريض؟
+
+470
+00:40:01,850 --> 00:40:06,190
+طبعاً لما أنا اخترت الاسم اخترته بشكل عشوائي، ما خطرش
+
+471
+00:40:06,190 --> 00:40:10,830
+في بالي أي حد، و بدون ما تنجر أحسن لك، أه يا
+
+472
+00:40:10,830 --> 00:40:13,930
+وبالتالي
+
+473
+00:40:13,930 --> 00:40:17,670
+.. بالتالي الآن في هذه الـ irrelevant attribute أنا
+
+474
+00:40:17,670 --> 00:40:21,990
+بدي أشيلها، ليش؟ لأنها فعلياً هي useless، مش هتفضلي
+
+475
+00:40:21,990 --> 00:40:25,610
+أو مش هتضيف لي data مطلقاً، يعني أنا كمان مرة في الـ
+
+476
+00:40:25,610 --> 00:40:30,090
+data selection، مهمتي أني أخلص من الـ irrelevant
+
+477
+00:40:30,090 --> 00:40:35,770
+attribute والـ redundant attribute، هدولة لازم إيش
+
+478
+00:40:35,770 --> 00:40:43,870
+أنا أشيلهم أو أحذفهم، Data Transformation، الآن
+
+479
+00:40:43,870 --> 00:40:46,950
+بما أن أحنا بنتكلم على بيانات أو تأثير الحالة
+
+480
+00:40:46,950 --> 00:40:50,730
+الصحية على تحصيل الطالب أو التلميذ في المرحلة
+
+481
+00:40:50,730 --> 00:40:54,510
+الإبتدائية، معناته أنا بدي أسأل نفسي، مين أحسن
+
+482
+00:40:54,510 --> 00:41:03,690
+إليه؟ أتعامل مع تاريخ الميلاد؟ ولا الـ Age؟ عشان
+
+483
+00:41:03,690 --> 00:41:09,020
+أحتفظ بواحد فيهم، أنت بدك تحذف واحد منهم، الآن أنت
+
+484
+00:41:09,020 --> 00:41:14,280
+لازم تحذف واحد منهم، تمام؟ بدك تحذف الـ age؟ تمام،
+
+485
+00:41:14,280 --> 00:41:17,800
+بدك تحذف الـ .. طيب عشان أنا أريحك وأساعدك في
+
+486
+00:41:17,800 --> 00:41:21,860
+النقطة اللي احنا هنجيها، بنعمل التفصيل لاحقاً، لأن يا
+
+487
+00:41:21,860 --> 00:41:27,800
+سيدي العزيز، عدد الـ distinct values اللي موجودة في
+
+488
+00:41:27,800 --> 00:41:32,120
+الـ attribute هذه جداً كبير
+
+489
+00:41:32,120 --> 00:41:38,450
+فعلياً هيكون أكبر من عدد .. ثلاثمية، موجودة يا حسن ..
+
+490
+00:41:38,450 --> 00:41:44,690
+يا حسن، ثلاثمية خمسة وستين، لأ أنت .. أنت اتكلمت على
+
+491
+00:41:44,690 --> 00:41:48,390
+أيام السنة، وفي .. وفي .. وفي تقاطعات بينهم، في طلاب
+
+492
+00:41:48,390 --> 00:41:52,990
+موجودين في نفس اليوم، مافيش مشكلة طبعاً، وفي موجودين
+
+493
+00:41:52,990 --> 00:41:56,510
+في نفس اليوم من الشهر لكن في السنة الأخرى، فالعدد
+
+494
+00:41:56,510 --> 00:42:01,770
+هنا كبير جداً، وهو حتماً أكبر بكثير من الـ age، لأن لو
+
+495
+00:42:01,770 --> 00:42:09,830
+اتكلمت على الـ age، معناته هتتكلم من خمسة ..
+
+496
+00:42:09,830 --> 00:42:15,190
+سابقة .. سابقة ابتدائي، من عند .. إثنا عشر أو ثلاثة عشر ..
+
+497
+00:42:15,190 --> 00:42:17,310
+مش .. مش هاخد .. مش هاخد في الكتير أنا وياك
+
+498
+00:42:17,310 --> 00:42:24,950
+أربعة، إثنا عشر، كام distinct value موجودة؟ تسعة بالله
+
+499
+00:42:24,950 --> 00:42:29,490
+عليك، تتعامل أو تدور على pattern على تسعة قيم
+
+500
+00:42:29,490 --> 00:42:33,550
+مختلفة، ولا تدور على pattern فيه عدد كبير، أنت مش
+
+501
+00:42:33,550 --> 00:42:34,210
+قادر تحصره
+
+502
+00:42:37,540 --> 00:42:42,180
+أنت إيش؟ يعني أنت متوقع .. أيوة شوية، أنت متوقع أن
+
+503
+00:42:42,180 --> 00:42:45,780
+الولد في شهر اثنين هم أكثر
+
+504
+00:42:45,780 --> 00:42:50,100
+ذكاءً من الولد في شهر ثلاثة؟
+
+505
+00:42:50,100 --> 00:42:53,880
+شوف أنت ممكن تعمل دراسة، بس أنت الآن، هل هذا هو الـ
+
+506
+00:42:53,880 --> 00:42:56,940
+pattern اللي احنا بندور عليه؟ لأ، مين قال هذا
+
+507
+00:42:56,940 --> 00:42:59,920
+الكلام؟ أنت فعلياً لو دورت في كل علماء العالم
+
+508
+00:42:59,920 --> 00:43:04,160
+هتلاقيهم موزعين على أشهر السنة، لأن مع الاعتقاد
+
+509
+00:43:04,160 --> 00:43:10,380
+الجازم أن الـ .. العقول فيها جزء منها من الله تبارك
+
+510
+00:43:10,380 --> 00:43:15,640
+وتعالى، لكن أكثر من 90 أو 95% جد واجتهاد، والجد
+
+511
+00:43:15,640 --> 00:43:20,760
+والاجتهاد ده مش مرتبط بالشهر اللي أنا ولدت فيه ولا
+
+512
+00:43:20,760 --> 00:43:26,960
+بالساعة،  بين جثم .. مالوش داعي، بالأبراج، شوف
+
+513
+00:43:26,960 --> 00:43:30,120
+ممكن أنت تعمل دراسة وتشوف أنت فعلياً، شوف أنت لما
+
+514
+00:43:30,120 --> 00:43:34,620
+بتكون معنّي بتصير تدور، بتصير تنبش وتدور، الآن هذه
+
+515
+00:43:34,620 --> 00:43:38,620
+البيانات قدامك، بس في الآخر اللي بُطرحه هنا هو
+
+516
+00:43:38,620 --> 00:43:43,680
+فعلياً relevant للـ task تبعته، اه، بس اللي أنا بتكلم
+
+517
+00:43:43,680 --> 00:43:50,440
+فيه، الشهر مالوش دخل في الموضوع، طيب الآن ممتاز
+
+518
+00:43:50,440 --> 00:43:57,040
+احنا بنتكلم هنا على تسعة قيم مختلفة، nine distinct
+
+519
+00:43:57,040 --> 00:44:05,070
+values، تسعة وتسعة، تسعة distinct values عندي هنا، طب لو
+
+520
+00:44:05,070 --> 00:44:08,810
+لو .. ممكن يصيروا ثلاثة هدول؟ ممكن تقريباً تقريباً
+
+521
+00:44:08,810 --> 00:44:12,570
+تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً
+
+522
+00:44:12,570 --> 00:44:15,130
+تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً
+
+523
+00:44:15,130 --> 00:44:18,530
+تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً
+
+524
+00:44:18,530 --> 00:44:20,970
+تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً تقريباً
+
+525
+00:44:20,970 --> 00:44:31,690
+تقريباً تقريباً تقريباً تقريباً
+
+526
+00:44:33,740 --> 00:44:37,680
+من الناس اللي بتعد بالملايين، مثل سوريا ولبنان
+
+527
+00:44:37,680 --> 00:44:47,020
+وقول لك راتبه 15 مليون وسبعمية وخمسين ألف ليرة سورية
+
+528
+00:44:47,020 --> 00:44:52,820
+كده صح؟ 15
+
+529
+00:44:52,820 --> 00:44:57,740
+مليون وسبعمية وخمسين ألف ليرة، مش شكش .. شو؟ مالوش
+
+530
+00:44:57,740 --> 00:45:02,770
+دخل بالقيمة، بس تخيل .. تخيل أنك أنت بتعمل عمليات
+
+531
+00:45:02,770 --> 00:45:09,910
+حسابية على أرقام بالضخامة دي، اه بالضبط، فمطلوب مني
+
+532
+00:45:09,910 --> 00:45:15,250
+أن أحوّرها بدون ما أفقد قيمتها، واحد يقترح عليّ
+
+533
+00:45:15,250 --> 00:45:24,850
+أحولها لدولار، أكتب ألف، يعني مثلاً، طيب
+
+534
+00:45:28,240 --> 00:45:33,700
+تقريت .. تقريت .. هذه 16 مليون مثلاً، شو رأيكم لو
+
+535
+00:45:33,700 --> 00:45:36,640
+قررت أخلص من الـ 100 ألف هدول أو العشرة آلاف هدول
+
+536
+00:45:36,640 --> 00:45:41,620
+الأربعة أصفار أو
+
+537
+00:45:41,620 --> 00:45:45,460
+بروَح بعمل لهم discretization تبع للفئة، الراتب هذا من
+
+538
+00:45:45,460 --> 00:45:50,080
+عدد عالي ولا متوسط ولا منخفض؟ قالوا لي والله منخفض
+
+539
+00:45:50,080 --> 00:45:54,160
+وحطه في فئة المنخفض، خلاص، لأن بيصير الـ value نفسها
+
+540
+00:45:54,160 --> 00:45:58,640
+مش ذات قيمة، طبعاً ممكن في لحظة من اللحظات الـ
+
+541
+00:45:58,640 --> 00:46:02,240
+system يجبرني أن أنا أتعامل مع الرقم، بس يبقى
+
+542
+00:46:02,240 --> 00:46:04,900
+الرقم هذا كبير، بقول لك okay، أنا والله ببدأ أروح
+
+543
+00:46:04,900 --> 00:46:13,300
+أستبدله بـ 15 point 75 في العمليات الحسابية، أسهل
+
+544
+00:46:13,300 --> 00:46:20,110
+وأبسط من أن أتعامل مع الرقم هذا، ولا لا؟ بقدر أرجع
+
+545
+00:46:20,110 --> 00:46:23,530
+وقت ما بدي للحجم اللي أنا بدي إياه، وبالتالي الـ Data
+
+546
+00:46:23,530 --> 00:46:29,370
+Transformation شغلة مهمة وأساسية في موضوع الـ Data
+
+547
+00:46:29,370 --> 00:46:34,210
+Mining، لاحظ الـ Cleaning، الـ Integration، الـ
+
+548
+00:46:34,210 --> 00:46:37,470
+Selection، الـ Transformation، لسه ما وصلتش للـ
+
+549
+00:46:37,470 --> 00:46:42,770
+Mining، أنا كله عمالي بحاول أجهز للـ Data، قاعد بعمل
+
+550
+00:46:42,770 --> 00:46:49,550
+الـ Pre Processing للـ Data، بعد هيك بنتقل لـ Data
+
+551
+00:46:49,550 --> 00:46:57,270
+Mining، أول
+
+552
+00:46:57,270 --> 00:47:02,750
+مرحلة التنقيب الحقيقية، الآن في المرحلة هذه المفروض
+
+553
+00:47:02,750 --> 00:47:06,910
+أنا بدي أستخدم مجموعة من الـ Algorithm، ومش أي
+
+554
+00:47:06,910 --> 00:47:11,070
+Algorithm، أو مش أي قرق، هي الـ Intelligent Method
+
+555
+00:47:11,070 --> 00:47:14,450
+اللي علاقتها بالذكاء الصناعي، بالـ Machine Learning
+
+556
+00:47:14,450 --> 00:47:18,080
+بحيث أن هو اللي بدي يدور على الـ pattern، لو أنا
+
+557
+00:47:18,080 --> 00:47:20,700
+سألتك، قد إيش استغرقت وقت وأنت بتدور على الـ two
+
+558
+00:47:20,700 --> 00:47:22,760
+patterns، الـ pattern الأول كان سهل لأنه مميزك يا
+
+559
+00:47:22,760 --> 00:47:28,020
+بالأحمر، أنا صادق بالمثال السابق، لكن قد إيش أخدت
+
+560
+00:47:28,020 --> 00:47:30,080
+وقتك، أنه وأنت بتدور على الـ pattern الثاني و
+
+561
+00:47:30,080 --> 00:47:34,920
+بتحاول تصيغه، أخدت وقت طويل، كل نص دقيقة، دقيقة، مش
+
+562
+00:47:34,920 --> 00:47:39,840
+قضية وقت طويل، الآن هدول خمسة، ستة أعمدة، بينما
+
+563
+00:47:39,840 --> 00:47:42,140
+ممكن تكون الـ data set اللي عندك فيها مائة ألف
+
+564
+00:47:42,140 --> 00:47:47,740
+record وفيها عشرة attributes، اه، الـ Visualization
+
+565
+00:47:47,740 --> 00:47:52,100
+بريّحك عشان تفهم، بس بيعرض لكش كل شيء، ليش؟ لأنه لما
+
+566
+00:47:52,100 --> 00:47:56,320
+تتكلم على عشرة Attributes، أنت maximally تقدر تظهر
+
+567
+00:47:56,320 --> 00:47:59,800
+العلاقة بين ثلاثة Attributes في الـ 3D، بعد هيك
+
+568
+00:47:59,800 --> 00:48:06,810
+قلّصنا، ففعلياً ندخل في تحدّي جديد، أنه أنا ما بقدر أعمل
+
+569
+00:48:06,810 --> 00:48:10,610
+analysis على عشرة attributes، مئة ألف raw، عشان أدور
+
+570
+00:48:10,610 --> 00:48:14,270
+على pattern معيّن، إيش الحل؟ بدي Intelligent method
+
+571
+00:48:14,270 --> 00:48:18,470
+تشتغلها، طبعاً الـ Machine learning بتخدمني بشكل كبير
+
+572
+00:48:18,470 --> 00:48:22,170
+جداً، مجموعة من الـ method زي الـ neural network، الـ
+
+573
+00:48:22,170 --> 00:48:25,070
+decision tree، والـ association rules، الـ algorithms
+
+574
+00:48:25,070 --> 00:48:31,370
+اللي هندرسهم لاحقاً، طبعاً عملنا binding لحظة وكلمتين
+
+575
+00:48:31,370 --> 00:48:34,670
+ومرينا، هي الـ data mining ما وقفناش عندها كتير، يعني
+
+576
+00:48:34,670 --> 00:48:38,970
+بنجو سين، أنا مش هبدع أو مش هنتج أو مش مسؤوليتي
+
+577
+00:48:38,970 --> 00:48:43,150
+إنتاج method جديدة، كل اللي أنا بدي إياه في المرحلة
+
+578
+00:48:43,150 --> 00:48:47,570
+دي هي عبارة عن عملية التنقيب اللي بتقوم فيها
+
+579
+00:48:47,570 --> 00:48:52,210
+الأدوات اللي صنعتها الشركات، فالـ Machine
+
+580
+00:48:52,210 --> 00:48:55,650
+Learning والـ AI بتزوّدني، الـ Machine Learning
+
+581
+00:48:55,650 --> 00:48:58,930
+بالتحديد كفرع من الـ AI بتزوّدني بالـ method، فأنا
+
+582
+00:48:58,930 --> 00:49:02,030
+ببدأ أعرف إيش الـ method وأعرف أستخدمها بشكل صحيح
+
+583
+00:49:02,030 --> 00:49:12,210
+الآن حصلت على pattern، الـ pattern هذا must be، must
+
+584
+00:49:12,210 --> 00:49:18,230
+be useful، must be valid، قبل الـ useful، فخليك معانا
+
+585
+00:49:18,230 --> 00:49:20,090
+وما تصرحوش، اه يا شباب
+
+586
+00:49:25,910 --> 00:49:32,070
+لو جارك سرحان، وجهه سرح، وبدك تعمل mining على الـ
+
+587
+00:49:32,070 --> 00:49:36,750
+situation اللي هو فيها، إيش الـ knowledge اللي بتطلع
+
+588
+00:49:36,750 --> 00:49:41,970
+فيها مباشرةً؟ محمد الكحلوت عمال بيقول لي بلاش اه ..
+
+589
+00:49:41,970 --> 00:49:50,590
+اه يا شباب .. جعان .. بيتجوز .. كان نام متأخر
+
+590
+00:49:54,230 --> 00:49:56,470
+كيف بده ينجح في المادة؟ مشكلة إذا كنت بده يفكر كيف
+
+591
+00:49:56,470 --> 00:49:58,630
+بده ينجح في المادة، لأن المفروض النجاح أكمله لك
+
+592
+00:49:58,630 --> 00:50:02,370
+إيديك إلا إذا كان ده بالـ cash تنجح، مش ثاني، المفروض
+
+593
+00:50:02,370 --> 00:50:05,670
+تقول لي بفكر كيف أجيب علامات كاملة في المادة، الأصل
+
+594
+00:50:05,670 --> 00:50:13,210
+كده، طيب، وراه خمس ولاد بيطعمهم، الفلوس خلصت، تمام؟
+
+595
+00:50:13,210 --> 00:50:18,510
+okay، يعني ممكن تعمل mining بناءً على المتاح، بس هذا
+
+596
+00:50:18,510 --> 00:50:25,100
+مش mining، هذا تخمين، guessing، تمام؟ ليش؟ لأن أنت
+
+597
+00:50:25,100 --> 00:50:30,460
+فعلياً لا تمتلك معلومات، معلومات عنه، لو أنت فعلياً
+
+598
+00:50:30,460 --> 00:50:38,100
+كنت قريب جداً منه، تمام؟ ولَجِئتَ سُرْعةً مباشرةً هتنبهه
+
+599
+00:50:38,100 --> 00:50:42,700
+فالآن أنا بدي أصل لمرحلة evaluation، بدي أتأكد أن
+
+600
+00:50:42,700 --> 00:50:46,700
+هل هذا الـ pattern اللي أنا استنتجته valid ولا invalid
+
+601
+00:50:46,700 --> 00:50:52,180
+طيب، الآن بدي أعمل evaluation للـ knowledge أو للـ ..
+
+602
+00:50:52,180 --> 00:50:56,080
+عفواً، للـ pattern اللي طلع عندي عشان أقدر أقيم فعلاً
+
+603
+00:50:56,080 --> 00:51:00,980
+هو قد إيش صحيح، بناءً على إيش بدي أعمل evaluation يا
+
+604
+00:51:00,980 --> 00:51:06,740
+شباب؟ فعلياً زي ما قلنا سابقاً، بدي يكون في عندي بعض
+
+605
+00:51:06,740 --> 00:51:11,180
+الـ cases الحقيقية، اللي فعلياً لما أجهز في ثاغورس، قال لك
+
+606
+00:51:11,180 --> 00:51:18,670
+لأي مثلث قائم الزاوية، جالك هات أي مثلث قائم زاوية
+
+607
+00:51:18,670 --> 00:51:23,370
+وطبّق عليه بالقياسات اللي هو عرضها أو بالقياسات
+
+608
+00:51:23,370 --> 00:51:27,630
+اللي أنت بتخطر على بالك، بس شرط يكون قائم زاوية
+
+609
+00:51:27,630 --> 00:51:30,770
+وانتهى الأمر، فهذه الـ validation هي الأساس اللي
+
+610
+00:51:30,770 --> 00:51:33,570
+احنا بندور عليه، الـ evaluation اللي احنا بندور عليها
+
+611
+00:51:33,570 --> 00:51:38,250
+فهنا أنا ببدأ أروح أدور على الـ pattern تبعي هذا
+
+612
+00:51:38,250 --> 00:51:43,890
+تمام؟ وأعمله evaluation، ما تنساش أنه كان في التعريف
+
+613
+00:51:43,890 --> 00:51:45,490
+بيقول valid يعني true
+
+614
+00:51:50
+
+667
+00:55:49,480 --> 00:55:53,920
+Data mining لازم يكون multidisciplinary field؟ مجال
+
+668
+00:55:53,920 --> 00:56:00,400
+تنقيب البيانات لازم يكون بيحتوي على علوم أخرى في
+
+669
+00:56:00,400 --> 00:56:03,960
+داخله، أولًا،
+
+670
+00:56:03,960 --> 00:56:07,460
+أولًا،  يتعامل مع البيانات عشان التعامل مع
+
+671
+00:56:07,460 --> 00:56:10,880
+البيانات، بمعنى أنني أتحدث عن database. بدي
+
+672
+00:56:10,880 --> 00:56:14,920
+أحشو الـdatabase، وكيف ممكن أعمل integration، ولا لأ؟
+
+673
+00:56:14,920 --> 00:56:18,580
+عشان أتعامل مع البيانات، وأقدر أعملها cleaning، بدي
+
+674
+00:56:18,580 --> 00:56:23,060
+أكون أعرف برمجة، عشان مش معقول أنني بدي أدور على raw
+
+675
+00:56:23,060 --> 00:56:27,600
+raw أو values وبالتالي أنا بحاجة أن أعمل
+
+676
+00:56:27,600 --> 00:56:31,440
+برنامجًا، وهو يدور على الـmissing values ويأخذ فيها
+
+677
+00:56:31,440 --> 00:56:35,400
+قرارًا، يعبيها أو بدي أعمل برنامجًا يروح يدور لي، ويقول
+
+678
+00:56:35,400 --> 00:56:38,860
+لي والله، هذه هي الـnoisy values في الـattribute
+
+679
+00:56:38,860 --> 00:56:43,620
+الفلاني، لأننا ندرس الشباب، الـsummary  تبع الـ
+
+680
+00:56:43,620 --> 00:56:48,620
+query أو الـstatistics. هذا الكلام ما بيعطيني نتيجة
+
+681
+00:56:50,400 --> 00:56:58,480
+الآن، فالـData Mining بتستخدم العديد من التوجهات
+
+682
+00:56:58,480 --> 00:57:01,880
+أو المساقات، مثل الـMachine Learning، وهذه أهميتها
+
+683
+00:57:01,880 --> 00:57:05,320
+أنها بتوفر مجموعة من الـSmart Algorithms للتعامل
+
+684
+00:57:05,320 --> 00:57:09,420
+مع، أو لاستنباط الـPattern الجديدة، الـPattern
+
+685
+00:57:09,420 --> 00:57:12,520
+Recognition. في عندي علوم مخصصة، بس عشان يقول لي هذا
+
+686
+00:57:12,520 --> 00:57:19,200
+نمط، أتعرف أن هذا نمط. الـStatistics، بحتاج أتعامل مع
+
+687
+00:57:19,200 --> 00:57:22,200
+الإحصاء، بحتاج أتعامل مع الـdatabase والـ
+
+688
+00:57:22,200 --> 00:57:24,480
+visualization، زي ما قلنا من أجل الـpresentation.
+
+689
+00:57:24,480 --> 00:57:30,040
+الآن، هذه العلاقات تقريبًا كل العلوم، يعني كل العلوم
+
+690
+00:57:30,040 --> 00:57:35,060
+عمالها بتزيد، وبتدفع باتجاه علم التنقيب البيانات
+
+691
+00:57:35,060 --> 00:57:39,860
+زي ما احنا عمال بنحكي الآن، فعليًا، ليش هذا
+
+692
+00:57:39,860 --> 00:57:43,160
+الكلام؟ لأن فعليًا أنا عندي بيانات ضخمة جدًا، والـ
+
+693
+00:57:43,160 --> 00:57:48,030
+algorithm اللي بده يتعامل معها، دائمًا الـAlgorithm
+
+694
+00:57:48,030 --> 00:57:51,790
+يا شباب، فيه evaluation ولا لأ؟ الـBig O تبعته في
+
+695
+00:57:51,790 --> 00:57:55,490
+الـworst case، لما أنا بتكلم مع الـAlgorithm. ليش في
+
+696
+00:57:55,490 --> 00:57:58,210
+عندي worst case وbest case؟ مش عشان الـ
+
+697
+00:57:58,210 --> 00:58:00,230
+performance، عشان أقدر أعمل evaluation للـ
+
+698
+00:58:00,230 --> 00:58:02,950
+performance. طب، وهذا الـperformance تبعي مرتبط
+
+699
+00:58:02,950 --> 00:58:09,590
+دائمًا بالـN، بعدد المدخلات تبعي. طب، أنا بتكلم على
+
+700
+00:58:09,590 --> 00:58:13,890
+huge data، بتكلم على 100 ألف record أو مليون record
+
+701
+00:58:13,890 --> 00:58:19,070
+أحيانًا، أو يمكن أكثر. أقول لك، لما بتتعامل مع الصور، و
+
+702
+00:58:19,070 --> 00:58:21,830
+بتعمل mining في داخل الصور، تخيل إن حجم الصورة
+
+703
+00:58:21,830 --> 00:58:28,110
+1024 × 1024، لو
+
+704
+00:58:28,110 --> 00:58:31,450
+كان في عندك 100 ألف صورة، هدول بيمثلوا عدد الـ
+
+705
+00:58:31,450 --> 00:58:34,410
+attributes، عدد الـpixels اللي موجودة، لو كل pixel
+
+706
+00:58:34,410 --> 00:58:37,950
+بدها تكون عمود، فهي عدد الـattributes اللي عندك. فإذا
+
+707
+00:58:37,950 --> 00:58:41,490
+ما كانش الـalgorithm اللي عندك scalable algorithm، و
+
+708
+00:58:41,490 --> 00:58:47,090
+قادر على التعامل مع البيانات الضخمة، معناته انتش الـ
+
+709
+00:58:47,090 --> 00:58:49,390
+algorithm تبعك، مش هتقدر تشغله، والـperformance
+
+710
+00:58:49,390 --> 00:58:55,590
+هيكون سيئ جدًا. في المقابل، أنا الآن بدي أشتغل مع هيك
+
+711
+00:58:55,590 --> 00:58:58,030
+لازم يكون الـalgorithm موجود عندي، زي ما قلت
+
+712
+00:58:58,030 --> 00:59:03,450
+لك، ضخم، الـhigh dimensionality of data. الآن، كلنا
+
+713
+00:59:03,450 --> 00:59:09,010
+بنعرف الـarrays. لو أنا أجيت، وقلت لك في عندي مصفوفة
+
+714
+00:59:09,010 --> 00:59:13,510
+1D، وبدي أعمل لها sort
+
+715
+00:59:19,040 --> 00:59:22,720
+تقدر الـalgorithm تعمل بده، و get؟ O(n تربيع) أو
+
+716
+00:59:22,720 --> 00:59:24,180
+O(n log n)؟ O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+717
+00:59:24,180 --> 00:59:26,080
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+718
+00:59:26,080 --> 00:59:30,600
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+719
+00:59:30,600 --> 00:59:33,480
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+720
+00:59:33,480 --> 00:59:35,580
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+721
+00:59:35,580 --> 00:59:36,080
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+722
+00:59:36,080 --> 00:59:42,100
+O(n تربيع) أو O(n log n)؟ O(n تربيع) أو O(n log n)؟
+
+723
+00:59:42,100 --> 00:59:47,790
+O(n تربيع) أو O(n log n)؟  أرتب عناصرها بحيث أنه لو
+
+724
+00:59:47,790 --> 00:59:53,350
+افترضت أنه فيها تسع عناصر هنا، بحيث أن العنصر هذا
+
+725
+00:59:53,350 --> 01:00:02,250
+يكون أصغر من أو يساوي العنصر اللي هنا، يعني بين  جسين
+
+726
+01:00:02,250 --> 01:00:06,030
+عناصر المصفوفة، بيكون الصف الأول أصغر من الصف
+
+727
+01:00:06,030 --> 01:00:12,190
+الثاني، أنت كعيب، وممكن يكون أكثر، مظبوط ولا لأ؟
+
+728
+01:00:12,190 --> 01:00:21,340
+طيب، لو أنني أقول لك الـ3D Array، لاحظ
+
+729
+01:00:21,340 --> 01:00:27,180
+أنه كل ما أضفت بُعدًا جديدًا، الـalgorithm تبعي بدي
+
+730
+01:00:27,180 --> 01:00:30,440
+يصير عليه complexity أكثر. طبعًا، الـdata اللي أنا
+
+731
+01:00:30,440 --> 01:00:32,860
+جايبها من different resources، هدول، ما هو كل واحد
+
+732
+01:00:32,860 --> 01:00:35,080
+ممكن في لحظة من اللحظات يشكل بُعدًا بالنسبة لي
+
+733
+01:00:35,080 --> 01:00:39,660
+وبالتالي، الـhigh dimensionality of data، تمام؟ هي
+
+734
+01:00:39,660 --> 01:00:41,300
+مشكلة بالنسبة لي، طيب
+
+735
+01:00:44,690 --> 01:00:49,410
+كذلك، الـComplexity، تعقيد البيانات اللي موجودة، مش
+
+736
+01:00:49,410 --> 01:00:53,170
+كل البيانات Alpha Numeric. احنا كلنا تعاملنا لحد
+
+737
+01:00:53,170 --> 01:00:56,890
+اللحظة مع الـAlpha Numeric Data في الـdatabase،
+
+738
+01:00:56,890 --> 01:01:02,370
+مظبوط؟ طب، وين الصور؟ وين الـMultimedia بشكل عام؟
+
+739
+01:01:02,370 --> 01:01:05,530
+طب، هذا النوع الثاني، برضه نفهم الصور، Pixels، طب، و
+
+740
+01:01:05,530 --> 01:01:11,010
+الصوت؟ موجات؟ Okay، موجات. تعال يا باشا، قول، شوف
+
+741
+01:01:11,010 --> 01:01:17,390
+الـTime Series Data. في عندي بعض البيانات تتسم بالـ
+
+742
+01:01:17,390 --> 01:01:21,650
+Series تبع للوقت، يعني التسلسل للوقت فيها أساسي.
+
+743
+01:01:21,650 --> 01:01:27,650
+بالمناسبة، أنت عندك واجب، نعمل فيه discussion في
+
+744
+01:01:27,650 --> 01:01:30,430
+المحاضرة الجاية. الـdata اللي باللون الأزرق، هاي
+
+745
+01:01:30,430 --> 01:01:36,800
+سجل عندك على الدفتر، الـTime Series Data، Temporal
+
+746
+01:01:36,800 --> 01:01:41,840
+data، Sequence data، والـSpecial data، بدي تعريف لكل واحدة فيهم بداية المحاضرة الجاية
+
+747
+01:01:41,840 --> 01:01:44,160
+تمام؟
+
+748
+01:01:44,160 --> 01:01:47,300
+هذه أنواع بيانات مختلفة. شيء له علاقة بالجغرافيا،
+
+749
+01:01:47,300 --> 01:01:51,440
+شيء له علاقة بالصوت، شيء له علاقة بالصور، شيء
+
+750
+01:01:51,440 --> 01:01:54,920
+له علاقة بالأسهم، شيء له علاقة بالـ... فالبيانات مش
+
+751
+01:01:54,920 --> 01:01:57,860
+زي ما أنا بتخيلها، واحد، A، وB، وألف، وباء، لأ، هي
+
+752
+01:01:57,860 --> 01:02:04,000
+عندي أنواع كبيرة من البيانات، وأنا مقلوب مني يكون
+
+753
+01:02:04,000 --> 01:02:07,240
+عندي القدرة على التنقيب فيها كلياتها، فلازم أقدر
+
+754
+01:02:07,240 --> 01:02:11,740
+أفهم البيانات اللي موجودة عندي هنا. طب، عشان أقدر
+
+755
+01:02:11,740 --> 01:02:14,520
+أفهمها، وأتعامل معها، معناته لازم يكون عندي معرفة
+
+756
+01:02:14,520 --> 01:02:18,360
+بالعلوم المختلفة. مثال على علاقة الـstatistics، عفواً
+
+757
+01:02:18,360 --> 01:02:25,800
+بالـdata mining. الـstatistics هي إحصاء. زود الـData
+
+758
+01:02:25,800 --> 01:02:30,260
+Mining والـMachine Learning من قبلها بمجموعة من
+
+759
+01:02:30,260 --> 01:02:33,300
+العناصر. مثال، في عندي الـNaive Bias، هي واحدة من الـ
+
+760
+01:02:33,300 --> 01:02:37,540
+Classification Methods الموجودة في الـMachine
+
+761
+01:02:37,540 --> 01:02:39,240
+Learning، وفي عندي الـMaximum Entropy عشان يحدد،
+
+762
+01:02:39,240 --> 01:02:44,660
+يأخذ، نقول، القيم المثلى في الاحتمالات. لكن، هل
+
+763
+01:02:44,660 --> 01:02:50,480
+الإحصاء بتخدمني في كل مكان؟ لأ، الآن، الإحصاء
+
+764
+01:02:50,480 --> 01:02:54,740
+بيشتغل مع Methods
+
+765
+01:02:54,740 --> 01:02:58,860
+والـmethod معروف أنه تتعاملت معها في الـdatabase
+
+766
+01:02:59,900 --> 01:03:02,660
+لو أنا سألت السؤال التالي: هل بقدر أطبق كل الـ
+
+767
+01:03:02,660 --> 01:03:07,040
+methods تبع الإحصاء على كل الـmethods يحصل؟ سؤالي،
+
+768
+01:03:07,040 --> 01:03:10,420
+هل الطرق الإحصائية، أو الدوال الإحصائية اللي
+
+769
+01:03:10,420 --> 01:03:14,460
+بنعرفها تطبق على كل أنواع البيانات؟ لو أنا قلت لك
+
+770
+01:03:14,460 --> 01:03:21,240
+على سبيل المثال، الـmaximum. لو أنا روحت، قلت لك الـ
+
+771
+01:03:21,240 --> 01:03:24,900
+maximum name. Select the maximum name from the
+
+772
+01:03:24,900 --> 01:03:29,800
+student table. لأ، بيقدر، بيرجع لك بناءً على إيش؟ على الـ
+
+773
+01:03:29,800 --> 01:03:35,780
+length، تمام؟ وعلى الـvalue تبع الكاركترات، لأنه فيه
+
+774
+01:03:35,780 --> 01:03:39,200
+مقارنة، لما أنت عارف الـASCII code تبعتهم. لكن شو
+
+775
+01:03:39,200 --> 01:03:42,120
+الفايدة منها؟ حطها في مقارنة مع الـmaximum salary،
+
+776
+01:03:42,120 --> 01:03:47,200
+هتلاقي نفسك بكل بساطة هتقول لي إن والله الـ
+
+777
+01:03:47,200 --> 01:03:53,060
+statistics فقط بتشتغل مع الـNumeric Data، وما لهاش
+
+778
+01:03:53,060 --> 01:03:57,360
+دخل في الشغلات الثانية. Minimum، Maximum،
+
+779
+01:03:57,360 --> 01:04:02,080
+Summation، Average، الـStandard Deviation، كل الـ
+
+780
+01:04:02,080 --> 01:04:07,780
+Statistical Methods بتشتغل على أرقام، بتتعاملش مع
+
+781
+01:04:07,780 --> 01:04:11,440
+الـtext. الوظيفة الوحيدة اللي ممكن يكون لها علاقة
+
+782
+01:04:11,440 --> 01:04:14,720
+بالشغلات الثانية اللي هي الـcount، العدد، ومش دائمًا
+
+783
+01:04:14,720 --> 01:04:18,460
+العدد هو المقصود، بتكون عندك
+
+784
+01:04:18,460 --> 01:04:19,920
+الـ...  التخصص، أو الـcourse، أو العلم الثاني اللي
+
+785
+01:04:23,040 --> 01:04:27,920
+ممكن يخدمني، اللي هو الـmachine learning. الـmachine
+
+786
+01:04:27,920 --> 01:04:32,440
+learning هو عبارة عن علم مختص بتطوير methods من أجل
+
+787
+01:04:32,440 --> 01:04:38,300
+أن تجعل الآلة، أو الـcomputer، أو البرنامج يتعلم من الـ
+
+788
+01:04:38,300 --> 01:04:43,220
+data اللي موجودة. يعني، هو فعليًا الـmachine learning
+
+789
+01:04:43,220 --> 01:04:47,700
+عنده methods، عندها القدرة على قراءة البيانات، و
+
+790
+01:04:47,700 --> 01:04:51,260
+استنباط المعلومات، والمعرفة من الـdata. وهذا اللي
+
+791
+01:04:51,260 --> 01:04:55,910
+أنا بدي إياه في الـmining. بدي أصل للمعرفة، اللي علمت
+
+792
+01:04:55,910 --> 01:05:04,630
+الـmachine learning. فالـ
+
+793
+01:05:04,630 --> 01:05:09,510
+machine learning هنستخدمه هنا كـtool، مش كمصدر
+
+794
+01:05:09,510 --> 01:05:12,090
+لـmethods. في الـmachine learning، هستخدم الـmachine
+
+795
+01:05:12,090 --> 01:05:15,370
+learning methods في الـknowledge extraction، تمامًا.
+
+796
+01:05:15,370 --> 01:05:18,890
+أنت لو احتجت جرافة، مش هتروح تشتري، تعمل مصنع
+
+797
+01:05:18,890 --> 01:05:23,220
+جرافات، هتروح تتواصل مع Caterpillar في ألمانيا، وتقول لهم
+
+798
+01:05:23,220 --> 01:05:26,340
+والله أنا بدي جرافات بالمواصفات الفلانية، أو حفارات
+
+799
+01:05:26,340 --> 01:05:29,200
+بالمواصفات الفلانية، ولا لأ؟ ولا هتصنعها أنت؟
+
+800
+01:05:29,200 --> 01:05:32,000
+الشغل الثاني، أن الـmachine learning بيعتمد في
+
+801
+01:05:32,000 --> 01:05:36,120
+بناء الـknowledge على الـsamples. يعني، لما بروح
+
+802
+01:05:36,120 --> 01:05:39,020
+بالـmethod، بقول، والله أنا ببني الـdecision tree إيه؟
+
+803
+01:05:39,020 --> 01:05:43,580
+ببنيها على الـsample. ممكن الـsample في لحظة من اللحظات
+
+804
+01:05:43,580 --> 01:05:46,740
+تكون كل الـdata، لكن بالنسبة لي، أن الـknowledge
+
+805
+01:05:46,740 --> 01:05:50,480
+لازم تكون على كل الـdata اللي موجودة، أو موجودة في
+
+806
+01:05:50,480 --> 01:05:54,380
+كل الـdata اللي موجودة عندها الـdatabase، حدث ولا
+
+807
+01:05:54,380 --> 01:05:57,780
+حرج، لأنه هي الأساس لكل شيء. لو لا وجود قواعد
+
+808
+01:05:57,780 --> 01:06:02,640
+البيانات، ما تضخمت البيانات بالحجم اللي موجود عندها
+
+809
+01:06:02,640 --> 01:06:08,540
+الـSearch Techniques. الآن، المعلومات يا جماعة
+
+810
+01:06:08,540 --> 01:06:13,880
+الخير، أو الـknowledge، دائمًا مرتبطة بالوقت اللي هي
+
+811
+01:06:13,880 --> 01:06:17,940
+بتظهر فيه. وقت إيش أنت بتقدر تستخرج knowledge بشكل
+
+812
+01:06:17,940 --> 01:06:22,160
+سريع في الحالة... مش هذا... مش هذا الخبير اللي
+
+813
+01:06:22,160 --> 01:06:25,000
+بقدر يستخرج المعرفة تبعته، ويسخرها حسب الـ
+
+814
+01:06:25,000 --> 01:06:28,720
+situation اللي هو موجود فيها، تمام؟ تخيل، تخيل، و
+
+815
+01:06:28,720 --> 01:06:32,960
+بدي تقول لي الفرق ما بين عالم في الـbiology اليوم،
+
+816
+01:06:32,960 --> 01:06:37,760
+اليوم، بقول لي، جماعة الخير، أنا قدرت أوصل لـ...لقاح
+
+817
+01:06:37,760 --> 01:06:45,420
+للـCorona، تمام؟ وهذا دقيق، أو نسبة نجاحه 80% على
+
+818
+01:06:45,420 --> 01:06:52,480
+الناس. وواحد بعد سنة من اليوم، قال، والله أنا جبت، أو
+
+819
+01:06:52,480 --> 01:06:55,860
+فيه... الآن، بقدّم لقاح للـCorona، لمرض Corona
+
+820
+01:06:55,860 --> 01:07:02,760
+تمام؟ بنسبة 95% من الدقة. مين أهم بالله عليك؟ الآن
+
+821
+01:07:02,760 --> 01:07:06,860
+وبالتالي، أنا بحاجة أن تكون الـsearch techniques
+
+822
+01:07:06,860 --> 01:07:11,340
+تبعي سريعة، لأني ما بدي أبقى طول عمري وأنا
+
+823
+01:07:11,340 --> 01:07:14,820
+بستنى. ليش؟ لأنه كمان، بينقصني الـtime is money،
+
+824
+01:07:14,820 --> 01:07:20,570
+الوقت هذا، اللي بيبذل جهود، أو الوقت اللي بيُقضى في
+
+825
+01:07:20,570 --> 01:07:23,710
+بذل الجهد مُكلف بالنسبة لنا. وبالتالي، أنا بدي
+
+826
+01:07:23,710 --> 01:07:28,090
+Searching techniques فعلاً تبحث عن المعرفة، وتمثلها،
+
+827
+01:07:28,090 --> 01:07:32,010
+وتقدر تعمل لها maintenance بشكل سريع جدًا. وبهيك،
+
+828
+01:07:32,010 --> 01:07:37,550
+الذكاء الاصطناعي لازم يكون موجود في الـdata mining.
+
+829
+01:07:37,550 --> 01:07:39,530
+طبعًا، لما نتكلم عن الذكاء الاصطناعي، الـmachine
+
+830
+01:07:39,530 --> 01:07:44,730
+learning بالمناسبة جزء من الذكاء الاصطناعي. فيه الـ
+
+831
+01:07:44,730 --> 01:07:49,840
+visualization، زي ما قلنا، أهميتها بتكمن في صياغة، أو
+
+832
+01:07:49,840 --> 01:07:55,320
+عرض الـknowledge، أو المعرفة، للناس، أو لأصحاب
+
+833
+01:07:55,320 --> 01:08:00,440
+القرار، اللي هياخدوا عليها action. وبهيك، بدي أنا أوقف
+
+834
+01:08:00,440 --> 01:08:03,480
+محاضرتنا اليوم عند الـdata mining tasks.
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..787a268173b15281749b49bc1717836e1c25cd22
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_postprocess.srt
@@ -0,0 +1,3340 @@
+1
+00:00:05,260 --> 00:00:07,360
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,360 --> 00:00:11,680
+أهلا وسهلا بالشباب اليوم إن شاء الله فعليا هندخل
+
+3
+00:00:11,680 --> 00:00:17,320
+في ال introduction ل data mining و هنتكون في بعض
+
+4
+00:00:17,320 --> 00:00:20,180
+المعلومة يعني slide أو تنتين من المحاضرة الماضية
+
+5
+00:00:20,180 --> 00:00:24,450
+لكن بدي حد من اللي كانوا موجودينالمرة الماضية
+
+6
+00:00:24,450 --> 00:00:27,430
+تذكرني شو يعني .. شو data mining؟ شو يعني تنقيب
+
+7
+00:00:27,430 --> 00:00:32,070
+البيانات؟ كنت المرة الماضية؟ ها .. ها في ناس من
+
+8
+00:00:32,070 --> 00:00:34,410
+الناس اللي ماكنتش المرة الماضية يا رامي و جاي
+
+9
+00:00:34,410 --> 00:00:37,410
+حاميانة و بدها تعرفلنا ال data mining عرف data
+
+10
+00:00:37,410 --> 00:00:42,410
+mining رامي هو استخراج information من ال data أو
+
+11
+00:00:42,410 --> 00:00:45,270
+استخراج أي knowledge من ال data استخراج knowledge
+
+12
+00:00:45,270 --> 00:00:48,610
+ولا information information information ايوة إيش
+
+13
+00:00:48,610 --> 00:00:51,110
+كلمة بتعرفها أنت؟ نفس ال issue نفس ال issue
+
+14
+00:00:57,750 --> 00:01:03,410
+استخراج non implicit data that's non trivial and
+
+15
+00:01:03,410 --> 00:01:09,630
+new مظبوط، كيف بقى تقول؟ بس مش data ولا
+
+16
+00:01:09,630 --> 00:01:12,830
+information knowledge احنا قولنا data mining
+
+17
+00:01:12,830 --> 00:01:15,850
+equivalent to knowledge extraction انا بدور على
+
+18
+00:01:15,850 --> 00:01:17,470
+معرفة طيب
+
+19
+00:01:20,540 --> 00:01:24,860
+الـ outline تبع المحاضرة هذه إن شاء الله لو اللي
+
+20
+00:01:24,860 --> 00:01:28,780
+بيخلص فيها حنجف بإذن الله اللي حنتكلم على ال
+
+21
+00:01:28,780 --> 00:01:31,820
+definition تبع ال data mining بعد هيك ننتقل ل
+
+22
+00:01:31,820 --> 00:01:35,440
+knowledge discovery process وراها هنتكلم على ال
+
+23
+00:01:35,440 --> 00:01:38,940
+data mining as a multidisciplinary discipline أو
+
+24
+00:01:38,940 --> 00:01:42,340
+field واش ال tools مع نهاية الشبتر اللي هنتكلم
+
+25
+00:01:42,340 --> 00:01:48,580
+عليها طبعافي عندنا هرم المعرفة أو هرم البيانات
+
+26
+00:01:48,580 --> 00:01:51,780
+المعروف طبعاً كنا دردشنا علي المحاضرة الماضية لأنه
+
+27
+00:01:51,780 --> 00:01:54,120
+على ما يبدو فيه أن بعض الناس ماكنتش موجودة على
+
+28
+00:01:54,120 --> 00:01:59,160
+السريع، احنا عادة عندنا الـ Data واحنا اسم المساق
+
+29
+00:01:59,160 --> 00:02:04,240
+تبعنا Data Mining، لاحظين Data Mining، Database،
+
+30
+00:02:04,240 --> 00:02:10,400
+إيش فيه كمان Data؟ Data Structure، كمان واحدةdata
+
+31
+00:02:10,400 --> 00:02:14,060
+science، data analysis كل شيء بتركز على ال data
+
+32
+00:02:14,060 --> 00:02:18,020
+لأنه فعليا هي ال raw material تبعتك زي ما
+
+33
+00:02:18,020 --> 00:02:22,080
+المناقبين عن الذهب و المعادن بدوروا على التربة أنت
+
+34
+00:02:22,080 --> 00:02:26,420
+التربة تبعتك وين؟ ال data فلما احنا من الآن عندنا
+
+35
+00:02:26,420 --> 00:02:32,320
+ال data متوفرة ال data هذه في سياق معين أو لو انو
+
+36
+00:02:32,320 --> 00:02:35,680
+وضعت فيه سياق صحيح بتصير information
+
+37
+00:02:38,570 --> 00:02:43,850
+بتصير معلومة المعلومة هذه لو حكمتها قوانين بتصير
+
+38
+00:02:43,850 --> 00:02:49,730
+معرفة أو المعلومة هذه لو ضفنا لها قوانين بتصير
+
+39
+00:02:49,730 --> 00:02:54,710
+معرفة تماما لما انت بتيجي تعرف ان عملية الضرب زي
+
+40
+00:02:54,710 --> 00:02:59,730
+ما اتعلمت سابقا هي عبارة عن عملية جمع متكرر واجي
+
+41
+00:02:59,730 --> 00:03:08,610
+اقولك هان 13 في 7أسوأ شيء، على أسوأ الظروف، لو انت
+
+42
+00:03:08,610 --> 00:03:13,310
+مش قادر تضرب، إيش هتروح تساوي؟ هتجمع الـ13 سبع
+
+43
+00:03:13,310 --> 00:03:16,210
+مرات، بحيث إنه بناء على الـknowledge اللي أصبحت
+
+44
+00:03:16,210 --> 00:03:20,830
+موجودة عندك أو الـinformation اللي تكونتها الـrule
+
+45
+00:03:20,830 --> 00:03:25,310
+ومن ثم أصبحت knowledge وزي ما قلنا المرة الماضية،
+
+46
+00:03:25,310 --> 00:03:29,290
+الـknowledge هاي، لو كانت فيها experience، خبرة،
+
+47
+00:03:29,290 --> 00:03:34,470
+تمام، بتصيرwisdom والحكمة بتقتضي إنه أيكون الإنسان
+
+48
+00:03:34,470 --> 00:03:39,870
+هذا قادر على الاتخاذ القرار والإجراء الصحيح في
+
+49
+00:03:39,870 --> 00:03:45,390
+الوقت المناسب لتحقيق أفضل ما يصبو إليها أو ما يرنو
+
+50
+00:03:45,390 --> 00:03:48,930
+إليها و لا لا الآن بيقولك فلان حكيم، شو يعني حكيم؟
+
+51
+00:03:48,930 --> 00:03:56,010
+مش ممرض عنده حكمة، يعني رأيه متزن، دائما بتحس إنه
+
+52
+00:03:56,010 --> 00:04:00,400
+صواب وطبعا الحكمة ما بتصير إلا غير من خلالخبرة
+
+53
+00:04:00,400 --> 00:04:06,840
+متراكمة مع معرفة قديمة تمام what is data mining
+
+54
+00:04:06,840 --> 00:04:10,620
+data mining is equivalent to knowledge discovery
+
+55
+00:04:10,620 --> 00:04:14,440
+استخراج المعرفة من البيانات استخراج المعرفة من
+
+56
+00:04:14,440 --> 00:04:19,880
+البيانات عرفنا ال data mining is extraction of
+
+57
+00:04:19,880 --> 00:04:25,560
+interesting patterns extraction of interesting
+
+58
+00:04:25,560 --> 00:04:27,940
+patterns مفهوم interesting
+
+59
+00:04:31,670 --> 00:04:36,790
+إنه Nano-trivial مش تقليدي مش شغلة عادية Implest
+
+60
+00:04:36,790 --> 00:04:42,790
+موجود ضمنيا في البيانات مش أنا بدي أركبه أو بدي
+
+61
+00:04:42,790 --> 00:04:47,850
+أختلقه لأ هو موجود بس أنا يعني الآن في لؤ لؤ
+
+62
+00:04:47,850 --> 00:04:54,390
+بيستخرجوه من البحار وفي لؤ لؤ بيصنعوه والتنين زي
+
+63
+00:04:54,390 --> 00:04:58,990
+بعض تقريبا في الجمال لكن تبقى القيمةللقلق طبيعي
+
+64
+00:04:58,990 --> 00:05:06,290
+أكبر من .. عن الصناعي previously unknown سابقًا
+
+65
+00:05:06,290 --> 00:05:10,890
+ماحدش بيعرف المعرفة هذه يعني الآن لما في ثغورس
+
+66
+00:05:10,890 --> 00:05:15,770
+اتكلم في جدوق
+
+67
+00:05:15,770 --> 00:05:21,430
+المثلث قائم الزاوية قالوا إن قول الوتر تربية يساوي
+
+68
+00:05:21,430 --> 00:05:27,230
+مجموع مربع الضلعين أو مجموع مربعات الضلعين بصبت؟
+
+69
+00:05:27,630 --> 00:05:33,510
+الآن لو كان في حد قبله جاء أو موجود النظرية هذه
+
+70
+00:05:33,510 --> 00:05:37,930
+كان مسموهاش Pythagoras نظرية Pythagoras و لا شو
+
+71
+00:05:37,930 --> 00:05:42,410
+رايكوا فبالتالي لازم تكون المعرفة هذه previously
+
+72
+00:05:42,410 --> 00:05:46,550
+أو ال pattern هذا previously unknown potentially
+
+73
+00:05:46,550 --> 00:05:51,130
+useful لازم يكون مفيد للناس ممكن أشوف أتكلم أنا في
+
+74
+00:05:51,130 --> 00:05:58,230
+عالم ما لا يخص الناس ما يقدمش فائدة أو معرفةحقيقية
+
+75
+00:05:58,230 --> 00:06:04,430
+لهم ال pattern هذا موجود في داخل huge amount of
+
+76
+00:06:04,430 --> 00:06:11,050
+data تعريف آخر بسيط مرادف للتعريف السابق the non
+
+77
+00:06:11,050 --> 00:06:15,290
+-trivial process هي العملية الغير تقليدية غير
+
+78
+00:06:15,290 --> 00:06:19,290
+تقليدية دلالة يعني مش كل الناس هتقوم فيها of
+
+79
+00:06:19,290 --> 00:06:25,670
+identifying لتعريفvalid صحيح وهذا الـ definition
+
+80
+00:06:25,670 --> 00:06:29,630
+ماكانش موجود سابقا أو كانت تكافؤه كلمة implicit
+
+81
+00:06:29,630 --> 00:06:33,770
+يعني هو موجود ضمن واقع موجود فهي مفهوم ال valid
+
+82
+00:06:33,770 --> 00:06:41,130
+novel previously unknown potentially useful and
+
+83
+00:06:41,130 --> 00:06:44,890
+ultimately understandable لازم يكون مفهوم عشان
+
+84
+00:06:44,890 --> 00:06:50,510
+الناس اللي بتاخد عليه action تقدر تفهم إيش اللي
+
+85
+00:06:50,510 --> 00:06:55,530
+إنت استخرجتهطبعا كان واضح في التعريفين إنهم متفقين
+
+86
+00:06:55,530 --> 00:07:02,450
+على كلمة better better
+
+87
+00:07:02,450 --> 00:07:05,770
+كله موجود potentially useful, implicit و valid
+
+88
+00:07:05,770 --> 00:07:10,490
+يعني أضمن حقيقي موجود يعني مش fake novel
+
+89
+00:07:10,490 --> 00:07:14,590
+previously unknown نفس المعنى مافرجتش كتير الآن ال
+
+90
+00:07:14,590 --> 00:07:17,750
+better هو عبارة عن arrangement
+
+91
+00:07:22,600 --> 00:07:26,240
+ترتيب معين وبيتكرر، ظهور معين وبيتكرر عشان الصير
+
+92
+00:07:26,240 --> 00:07:31,680
+أقول هذا نمط لما باجي بقول لجماعة الخير فلان نمط
+
+93
+00:07:31,680 --> 00:07:35,460
+واحد روتيني
+
+94
+00:07:35,460 --> 00:07:40,600
+بيجي بنقول والله المحاضر نمط واحد اتكلم على نفس
+
+95
+00:07:40,600 --> 00:07:46,060
+الموجة من الصوت لا بيغير ولا بيبدل هذا better نمط
+
+96
+00:07:46,060 --> 00:07:51,960
+بنقول والله فلان غير متوقعلا في الكلمات ولا في
+
+97
+00:07:51,960 --> 00:07:57,500
+الأفعال ليش؟ لأنه فعلياً مالوش نمط ثابت أنت تقدر
+
+98
+00:07:57,500 --> 00:08:00,800
+تحكم عليه من خلاله فبالتالي ال pattern لازم يكون
+
+99
+00:08:00,800 --> 00:08:05,180
+فيه specific arrangement شغلة معينة و الشغلة هذه
+
+100
+00:08:05,180 --> 00:08:09,740
+عاملها إيش بتتكرر بدون التكرار مش هصير pattern مش
+
+101
+00:08:09,740 --> 00:08:14,040
+هصير نمط مثلا بقولك الموظف الفلاني نمطه بيطلع
+
+102
+00:08:14,040 --> 00:08:19,600
+الساعة تمانية بركب سيارته مثلا تمانية و نص بيكونفي
+
+103
+00:08:19,600 --> 00:08:26,440
+مكان عمله بعد هيك مروح مدخل البيت مابيطلعش pattern
+
+104
+00:08:26,440 --> 00:08:33,320
+valid زي ما قلنا ان هذا لازم يكون discovered او ال
+
+105
+00:08:33,320 --> 00:08:38,060
+pattern هذا لازم يكون حقيقي مش fake ومش بس هيك لو
+
+106
+00:08:38,060 --> 00:08:44,880
+انا روحت عرضت عليه new instance او new item لازم
+
+107
+00:08:44,880 --> 00:08:50,110
+يكون دقيقلحد مستوى معين الدقة بقولش 100% ممكن 85
+
+108
+00:08:50,110 --> 00:08:53,570
+تكون كافية بالنسبة لي ممكن ال 70 تكون كافية لي
+
+109
+00:08:53,570 --> 00:09:00,170
+أحيانا novel يعني
+
+110
+00:09:00,170 --> 00:09:04,330
+ماحدش بيعرفه سابقا زي ما قلنا سابقا actionable
+
+111
+00:09:04,330 --> 00:09:10,370
+بيترتب عليه action مهم للناس و understandable عشان
+
+112
+00:09:10,370 --> 00:09:18,100
+الناس تستفيد منهتعالى نشوف المثال اللى موجود
+
+113
+00:09:18,100 --> 00:09:22,080
+قدامنا على اللوح بالمثال اللى موجود قدامنا على
+
+114
+00:09:22,080 --> 00:09:25,380
+اللوح افترضوا ان انا فيه عندى data set مكوّنة من
+
+115
+00:09:25,380 --> 00:09:31,180
+خمس صفوف و تلت أعمدة ال shape و ال color و ال
+
+116
+00:09:31,180 --> 00:09:37,760
+weight shape و color و weight بدي أديكي دقيقة انت
+
+117
+00:09:37,760 --> 00:09:43,100
+و جارك اللى في جنبك اتحاول تستنبئولي two patterns
+
+118
+00:09:45,020 --> 00:09:53,980
+من الـ data هاي من ال data set أنت
+
+119
+00:09:53,980 --> 00:09:57,100
+و جارك أنت و جارك على السريع عشان نختار و نحاول
+
+120
+00:09:57,100 --> 00:09:59,940
+نكتب على اللوح أيوة اعتبرها أول نشاط جماعي في
+
+121
+00:09:59,940 --> 00:10:10,980
+الفصل لسه two patterns بديش واحد بدي اتنين هي
+
+122
+00:10:10,980 --> 00:10:13,020
+في ناس خلصت شغل حصلت على two patterns
+
+123
+00:10:20,100 --> 00:10:24,560
+أه طيب خلصت .. اتفرض إنها خلصت دقيقة و ضايل فيها
+
+124
+00:10:24,560 --> 00:10:29,800
+شوية كفاية نبدأ من الآخر خالص أيوة إيش أول better؟
+
+125
+00:10:29,800 --> 00:10:36,460
+مش أنت .. لأ عم مش عبدالله لإنت أيوة أيوة لو كان
+
+126
+00:10:36,460 --> 00:10:47,170
+if shape equal box then color equalRed يعني بكل
+
+127
+00:10:47,170 --> 00:10:52,970
+بساطة طيب
+
+128
+00:10:52,970 --> 00:10:55,670
+شوية انتوا ليش جمعتوا و لا بيكونوا تجمعوني أنا لا
+
+129
+00:10:55,670 --> 00:10:59,210
+يا جماعة للهداوة احنا قولنا with some degree of
+
+130
+00:10:59,210 --> 00:11:06,190
+certainty ماقولاش 100% وبالتالي كلامه صح تمام؟
+
+131
+00:11:06,190 --> 00:11:12,090
+الآن شوية بس هذا ممكن .. هذا ممكن انا اكتبهأكتبوا
+
+132
+00:11:12,090 --> 00:11:16,190
+F within أو ممكن أقوله بكل بساطة بلغة أسهل من
+
+133
+00:11:16,190 --> 00:11:21,430
+الهكمة كتير أي شغلة حمرة .. أي .. أي صندوق أحمر أو
+
+134
+00:11:21,430 --> 00:11:26,470
+كل الصناديق حمرة هي pattern فانت المفروض لما بدك
+
+135
+00:11:26,470 --> 00:11:31,830
+تصيغ ال pattern تصيغه بنمط يكون understandable
+
+136
+00:11:31,830 --> 00:11:35,790
+عشان نقدر الناس تفهم إيش اللي بتسوي نعم، مين كان
+
+137
+00:11:35,790 --> 00:11:40,390
+بتتكلم هنا؟ لأ، سكبته خلاص؟ أيوة ورا، الأخر
+
+138
+00:11:44,460 --> 00:11:57,480
+اها if ال color equal blue then ال weight equal
+
+139
+00:11:57,480 --> 00:12:02,440
+400 غيره
+
+140
+00:12:02,440 --> 00:12:07,860
+يا
+
+141
+00:12:07,860 --> 00:12:11,740
+أبو حميد أبو
+
+142
+00:12:11,740 --> 00:12:12,300
+حاسم يلا
+
+143
+00:12:15,930 --> 00:12:21,090
+اها بدأ شكل better مختلفة اعتمد على ال better من
+
+144
+00:12:21,090 --> 00:12:25,750
+السابق لكن جاب شغلة جديدة لو كان ال box .. لو كان
+
+145
+00:12:25,750 --> 00:12:32,050
+box .. أي shape .. أي shape .. ماتكلمش على ال box
+
+146
+00:12:32,050 --> 00:12:38,590
+عدّله اللي جنبه جاله الأشكال اللي أوزانها أقل من
+
+147
+00:12:38,590 --> 00:12:44,090
+400 فهي حمرة طيب ممتاز خلّين هذه ال .. blue ..
+
+148
+00:12:44,090 --> 00:12:51,410
+blue حمرةأيوة، لو كان أزرق، مياته أربعمية الآن أقل
+
+149
+00:12:51,410 --> 00:12:59,530
+من الأربعمية فهو أحمر هاي اللي بتقوله طب
+
+150
+00:12:59,530 --> 00:13:06,390
+مش .. مش ملاحظ أنه هذا ممكن يكون هان سؤال مش
+
+151
+00:13:06,390 --> 00:13:10,270
+ملاحظ أنه ممكن يكون ال .. بكتير من اللي أنت بتتكلم
+
+152
+00:13:10,270 --> 00:13:14,110
+و already زميلك حكاه هان لأنه لو ماكانش وزنه
+
+153
+00:13:14,110 --> 00:13:20,150
+أربعميةمعناته هو مش فعندي النفي، مظبوط، لما
+
+154
+00:13:20,150 --> 00:13:29,070
+تنفيها، الآن if then أو ال by implies بال discrete
+
+155
+00:13:29,070 --> 00:13:35,550
+mathematics لما تنفيها، إيش بتصير نفيها؟ not or،
+
+156
+00:13:35,550 --> 00:13:40,130
+مظبوط، طيب، الآن هذا better، لأن افضلت، هاي ال two
+
+157
+00:13:40,130 --> 00:13:46,030
+better نزلنا عندي وفهمناهم كويسبدي حد الآن حذّق
+
+158
+00:13:46,030 --> 00:13:48,630
+فيكوا يقولّي إيش ال action اللي ممكن أنا أخده
+
+159
+00:13:48,630 --> 00:13:55,970
+عليهم تعمل
+
+160
+00:13:55,970 --> 00:14:00,790
+test لخط الإنتاج test لخط الإنتاج إذا كان ال box
+
+161
+00:14:00,790 --> 00:14:03,830
+اللي جايينه أحمر و وزنه فوق ال 300 يكون non valid
+
+162
+00:14:03,830 --> 00:14:07,850
+أه يعني مثلا زميلنا قال والله أنا ال validity تبعت
+
+163
+00:14:07,850 --> 00:14:12,900
+مبنية على اللون الأحمر أو اللون الأزرقلأ ممكن يكون
+
+164
+00:14:12,900 --> 00:14:16,740
+في .. اتنين موجودات عندى انا هان .. بس بدي ..
+
+165
+00:14:16,740 --> 00:14:21,280
+بتخزين تعمل .. تصميم تعمل .. طيب .. بتخزين تعمل ..
+
+166
+00:14:21,280 --> 00:14:21,480
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+167
+00:14:21,480 --> 00:14:21,620
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+168
+00:14:21,620 --> 00:14:21,800
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+169
+00:14:21,800 --> 00:14:22,380
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+170
+00:14:22,380 --> 00:14:23,380
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+171
+00:14:23,380 --> 00:14:26,040
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+172
+00:14:26,040 --> 00:14:38,200
+بتخزين تعمل .. بتخزين تعمل .. بتخزين
+
+173
+00:14:38,200 --> 00:14:42,390
+تعمل ..يعني ممكن انا استفيد فيها في الموضوع
+
+174
+00:14:42,390 --> 00:14:47,530
+التخزين 100
+
+175
+00:14:47,530 --> 00:14:52,850
+% بس الان في عندي مشكلة ال cone هذا تمام مش هيظبط
+
+176
+00:14:52,850 --> 00:14:56,950
+احطه تحت الصندوق احطه تحت ما هو blue
+
+177
+00:15:01,700 --> 00:15:06,280
+طيب اتدوني action .. ايوه النقل ال action الأسهل
+
+178
+00:15:06,280 --> 00:15:10,340
+من كل الكلام اللي انت بتقوله في موضوع النقل انتبه
+
+179
+00:15:10,340 --> 00:15:15,040
+ال shape أو ال object اللي باللون الأزرق هي الأجل
+
+180
+00:15:15,040 --> 00:15:19,780
+انتبه هو انت بتحمل فيها، بشو رايكوا؟ فكمان مرة
+
+181
+00:15:19,780 --> 00:15:24,710
+كتير .. هضرب عدي مثالهتحس في حالتك لو انت بتجاوب
+
+182
+00:15:24,710 --> 00:15:29,030
+عمالك بتعقد حالك أو بتحاول .. بتجاوب صح لكن بطريقة
+
+183
+00:15:29,030 --> 00:15:34,750
+معقدة طب ليش ماتوصفها بكلام سهل وبسيط؟ تمام؟ okay
+
+184
+00:15:34,750 --> 00:15:40,070
+تعالي نشوف المثال التالي هذا الآن،
+
+185
+00:15:40,070 --> 00:15:46,410
+عندنا بنك بيعطي قروض ربوية،
+
+186
+00:15:46,410 --> 00:15:52,810
+حاضر يا شيخ، ربوية، بدي قروض ربوية، الآن الناسفي
+
+187
+00:15:52,810 --> 00:16:01,490
+ناس بتدفع اللي بلون الأزرق وفي ناس مابتدفعش في ناس
+
+188
+00:16:01,490 --> 00:16:07,350
+بتدفع وفي ناس مابتدفعش أو بتسددش ناس اللي مابتسددش
+
+189
+00:16:07,350 --> 00:16:11,170
+هتبتمثل risk على البنك لأنه بيخسر، بيخسر فلوسه
+
+190
+00:16:11,170 --> 00:16:15,130
+بالإضافة للربا اللي هو المفروض أو الفائدة اللي هو
+
+191
+00:16:15,130 --> 00:16:18,890
+المفروض يحصلها، فهو خسران فالآن بده ياخد decision
+
+192
+00:16:18,890 --> 00:16:23,510
+كيف يبدأ يميزما بين الناس اللي بتدفع و الناس اللي
+
+193
+00:16:23,510 --> 00:16:33,130
+بتدفعش المعلومات اللي عنده فقط salary راتب الموظف
+
+194
+00:16:33,130 --> 00:16:38,930
+و قيمة القرض اللي طالبه لأنه
+
+195
+00:16:38,930 --> 00:16:42,820
+فعليا لازم قيمة القرض أكبر منال salary طبيعي لو
+
+196
+00:16:42,820 --> 00:16:46,060
+قيمة القرض زي ال salary او اقل انا مش بحاجة اني
+
+197
+00:16:46,060 --> 00:16:52,040
+اريش اروح اقترض لان الراتب هيكون كافي الان ايش
+
+198
+00:16:52,040 --> 00:17:00,780
+بتقترح عليه او ايش هتلي نمط او هتلي pattern بحيث
+
+199
+00:17:00,780 --> 00:17:06,340
+انه ساعد البنك هذا على اختيار الناس نعم ال
+
+200
+00:17:06,340 --> 00:17:13,950
+salary يكون عالي وال loan يكون اقل منهمنخفض طب
+
+201
+00:17:13,950 --> 00:17:20,030
+ممتاز لو أنا سألتك يا مؤمن أي دين ال value اللي
+
+202
+00:17:20,030 --> 00:17:25,990
+أنت بتحق أو بتقول عليها عالي أو منخفض؟ مافيش ال
+
+203
+00:17:25,990 --> 00:17:32,370
+average مش ضروري مش ضروري الآن تخيل لو أنا أجي
+
+204
+00:17:32,370 --> 00:17:38,670
+تقولت هيك حاطيتلك خط هنا هدول
+
+205
+00:17:38,670 --> 00:17:43,730
+مش هيدفعه و هدول بيدفعهتبع للألوان اللي موجودة هذه
+
+206
+00:17:43,730 --> 00:17:49,930
+ال pattern تبعي صحيح؟ صح .. صح .. بس بالنسبة غير
+
+207
+00:17:49,930 --> 00:17:54,010
+دقيقة ليش؟ لأنه ضمنت فيهم مجموعة كتير من الناس
+
+208
+00:17:54,010 --> 00:17:58,950
+اللي باللون الأحمر اللي بتدفعش خد
+
+209
+00:17:58,950 --> 00:18:07,390
+الخط اللي بعدي هان .. هيكأة صح بس برضه ما زال فيه
+
+210
+00:18:07,390 --> 00:18:07,930
+رسبة خطأ
+
+211
+00:18:12,810 --> 00:18:20,370
+هذا الأسود لسه عم يشتغل شكله مش مشكلة مش مشكلة
+
+212
+00:18:20,370 --> 00:18:30,970
+نيجي للي بعده هان أيب
+
+213
+00:18:30,970 --> 00:18:40,410
+هان مع أي خط أنت من الخطوط هاي الأزرق اللي في النص
+
+214
+00:18:43,550 --> 00:18:50,390
+أغمق واحد .. هذا .. أخدهم كلهم ليش؟ عشان تزيد
+
+215
+00:18:50,390 --> 00:18:59,450
+نسبة؟ يعني أنا آجي .. آجي أخد هذا يعني؟ بينفعش ..
+
+216
+00:18:59,450 --> 00:19:03,190
+أنت ب .. الآن بقى تديني .. بقى تديني قرار الناس لو
+
+217
+00:19:03,190 --> 00:19:07,390
+رواتبهم أقل من كده هرفضهم و الناس كده .. طبعا
+
+218
+00:19:07,390 --> 00:19:11,710
+العكس هاخدهم .. هقبل أديهم القرض هذا خدلي قرار
+
+219
+00:19:11,710 --> 00:19:13,210
+الآن بناء على الخطوط الموجودة
+
+220
+00:19:20,460 --> 00:19:29,260
+طب انا خسرت هنا في زبولين دفيع انا خسرتهم طيب
+
+221
+00:19:29,260 --> 00:19:34,680
+في المقابل .. في المقابل كفي اتنين هدولة مش دفيع و
+
+222
+00:19:34,680 --> 00:19:39,860
+هخسر عليهم .. هخسر يعني انا خسرت هنا .. اخسرت هنا
+
+223
+00:19:39,860 --> 00:19:45,600
+فلوس او ربحخان أقول محتمل و هان صارت في عندي خسارة
+
+224
+00:19:45,600 --> 00:19:53,340
+أكيدة أها، تلاحظ أنه بالمثال هذا أنه أنا فعليا
+
+225
+00:19:53,340 --> 00:19:58,980
+فعليا في خسارة في كل الأحوال كل خط من الخطوط فيه
+
+226
+00:19:58,980 --> 00:20:03,500
+risk ولا لا، فيه مخاطرة، بس من المخاطرة الأقل
+
+227
+00:20:03,500 --> 00:20:08,320
+بالنسبة ليه؟ الخط هذا اللي في الوسطهذا واحد يقول
+
+228
+00:20:08,320 --> 00:20:11,340
+لدكتور وين المخاطر في الموضوع انت هدولة كلهم
+
+229
+00:20:11,340 --> 00:20:15,340
+دافعين لا يا عم انت خسرت مبالغ من المال مؤكدة في
+
+230
+00:20:15,340 --> 00:20:21,580
+الدفع كانت هتكون هذه أرباحهم كانت أكيدة بالنسبة لك
+
+231
+00:20:21,580 --> 00:20:24,980
+هتقولي ضمنت هدولة التنين ما هي في الآخر فيها risk
+
+232
+00:20:24,980 --> 00:20:31,120
+مصبوط وبالتالي إنت بدك decision فالآن ال pattern
+
+233
+00:20:31,120 --> 00:20:34,160
+اللي هنطلع فيه هذا
+
+234
+00:20:37,630 --> 00:20:41,050
+زي ما احنا متفقين إنه هذا أفضل .. ليش؟ أفضل خط
+
+235
+00:20:41,050 --> 00:20:46,650
+ممكن نشتغل معاه تمام؟ الآن بدنا نسقط المعايير
+
+236
+00:20:46,650 --> 00:20:50,150
+التلاتة الأساسية طبعا احنا متفقين إنه هذا
+
+237
+00:20:50,150 --> 00:20:55,210
+implicit، مصبوط؟ مش fake، هذه ال data حقيقية و
+
+238
+00:20:55,210 --> 00:20:59,170
+حاولنا نحط خط هان بمثل رقم الـK دي قيمة ال salary
+
+239
+00:20:59,170 --> 00:21:04,690
+اللي أنا بناء عليها بدي أقرر أقبل أو أرفض طلب
+
+240
+00:21:04,690 --> 00:21:05,110
+القرض
+
+241
+00:21:08,950 --> 00:21:13,810
+Is it valid؟ بما أني حطيتها الصورة مش مشكلة الآن
+
+242
+00:21:13,810 --> 00:21:19,950
+السؤال الأول، هل هذا valid؟ أه، احنا قلنا valid
+
+243
+00:21:19,950 --> 00:21:24,730
+with some degree of certainty لإلى حد ما، ممتاز
+
+244
+00:21:24,730 --> 00:21:30,890
+جداش نثبت صحة الكلام هذا؟
+
+245
+00:21:30,890 --> 00:21:35,690
+عدد الأحمر على عدد الأزرق، لأ عدد المختلف على
+
+246
+00:21:35,690 --> 00:21:43,410
+العدد الكلي المفروض أن كله أحمرفيه اتنين أزراج و
+
+247
+00:21:43,410 --> 00:21:47,370
+اتنين أحمرها المفروض كله أزراج فبصير قداش أربعة
+
+248
+00:21:47,370 --> 00:21:51,110
+مختلفة يعني هدول الأربعة هم المشكلة اللي عندي صح؟
+
+249
+00:21:51,110 --> 00:21:57,230
+هدول اللي انا هخطئ فيهم قداش نسبتهم على عدد النقاط
+
+250
+00:21:57,230 --> 00:22:02,670
+كلتها هدي بجيب انا ال risk rateبينما الـ Validity
+
+251
+00:22:02,670 --> 00:22:08,130
+Rate تبعتيه هي عدد الـ decision الصحيحة على عدد
+
+252
+00:22:08,130 --> 00:22:12,810
+العدد الكلي ففعليا عدد النقاط الزرق اللي هان و عدد
+
+253
+00:22:12,810 --> 00:22:17,530
+النقاط الحمره اللي هان على المجموع الكلي للنقاط
+
+254
+00:22:17,530 --> 00:22:23,830
+تمام؟ فبالتالي هذا ال pattern هو فعليا valid with
+
+255
+00:22:23,830 --> 00:22:31,050
+some degree of certainty بتصل إلى 86% تقريبا
+
+256
+00:22:32,310 --> 00:22:40,670
+هل هو novel؟ novel إذا كانت الـ K هذه مختلفة عن ال
+
+257
+00:22:40,670 --> 00:22:43,450
+.. عن ال K أو القيمة اللي بيعتمد عليها البنك
+
+258
+00:22:43,450 --> 00:22:48,890
+سابقاً يعني ممكن البنك كان بيعتمد على قيمة أكبر هو
+
+259
+00:22:48,890 --> 00:22:52,670
+أنا أثبتله إن هو عمال بيخسر أو البنك فعليا بيعتمد
+
+260
+00:22:52,670 --> 00:22:56,290
+على قيمة أقل وأثبتله أنا فعليا عماله بيختسر قلتله
+
+261
+00:22:56,290 --> 00:23:04,140
+أفضل K هيها إذا كانت ال K غير معروفةتمام تماما مثل
+
+262
+00:23:04,140 --> 00:23:07,760
+ما واحد ييجي يقولي الآن من تعويت الفيزيا أن قيمة
+
+263
+00:23:07,760 --> 00:23:17,340
+القوة الجاذبية الأرضية 9.8 انت أثبتها الآن؟ معروفة
+
+264
+00:23:17,340 --> 00:23:25,560
+من زمان لكن لو إجي قاللي لأ هي مش 9.8 هي 9.7 اتنين
+
+265
+00:23:25,560 --> 00:23:31,590
+من عشرة و أثبت الكلام هذا معناته هو جابNovel
+
+266
+00:23:31,590 --> 00:23:34,710
+knowledge موجودة عندنا بيعناته احنا قلنا الـ
+
+267
+00:23:34,710 --> 00:23:40,090
+better and valid novel هل هو useful؟ شو رأيكوا؟
+
+268
+00:23:40,090 --> 00:23:43,710
+useful بالنسبة للبنك و actionable، هيكون يعتمد
+
+269
+00:23:43,710 --> 00:23:49,310
+عليه الشغل، تمام طبعا سألنا نفسنا سابقا في
+
+270
+00:23:49,310 --> 00:23:52,370
+المحاضرة الماضية ليش فعليا احنا محتاجين قواعد ال
+
+271
+00:23:52,370 --> 00:23:56,090
+data mining تنقيب البيانات لأن فعليا أنا عمال
+
+272
+00:23:56,090 --> 00:24:01,490
+البيانات بتتضخمبشكل كبير جدا مصادر البيانات بتتنوع
+
+273
+00:24:01,490 --> 00:24:09,090
+وطرق جمعها أسهل مصادر البيانات تبعتي في ال
+
+274
+00:24:09,090 --> 00:24:14,570
+business و ال science كل العلوم و ال society طيب
+
+275
+00:24:14,570 --> 00:24:20,980
+الآن مصادر البيانات بتتنوعالكاميرا، مواقع التواصل
+
+276
+00:24:20,980 --> 00:24:24,940
+الاجتماعي، مسجلات الصوت، الجوالات، كل هذه عبارة عن
+
+277
+00:24:24,940 --> 00:24:28,740
+مصادر بيانات، ولا لأ؟ اليوم المؤسسات بتقولك أنا في
+
+278
+00:24:28,740 --> 00:24:30,660
+عندي بيانات في الموضوع الفلان، بس تعالي اشتغل
+
+279
+00:24:30,660 --> 00:24:34,460
+عليها، فضل خدها، و بس اعمل citation لإنا، لأن هذا
+
+280
+00:24:34,460 --> 00:24:38,080
+ال data ملكنا، مافيش مشكلة، بدي أسأل سؤال الآن، لو
+
+281
+00:24:38,080 --> 00:24:46,280
+طلبت منك تصور أن الآن وزارة المواصلات
+
+282
+00:24:48,260 --> 00:24:54,000
+قررت تعمل برنامج أو تعمل system آلي يتعرف على
+
+283
+00:24:54,000 --> 00:24:58,620
+لوحات السيارات أو يتعرف على السيارات ويفحص في الـ
+
+284
+00:24:58,620 --> 00:25:03,380
+database هل السيارة هذه مرخصة أو غير مرخصة ويبعت
+
+285
+00:25:03,380 --> 00:25:08,960
+إشعار للدورية اللي بعيدة عن مكان الـ sensor أو
+
+286
+00:25:08,960 --> 00:25:12,690
+الكاميرا اللي موجودةبعيدة 500 متر، يعني مثلا
+
+287
+00:25:12,690 --> 00:25:18,130
+تخيلها نحط البرنامج تبعنا على مفترق الصناعة
+
+288
+00:25:18,130 --> 00:25:24,190
+والدورية واقفها عند الأرقام، الآن، شو تصورك عن هيك
+
+289
+00:25:24,190 --> 00:25:31,810
+برنامج؟ شوية يا مؤمن، أيوة، يكون سريع في لصول
+
+290
+00:25:31,810 --> 00:25:36,030
+البيانات، أنا زوّدت البرنامج هذا بخط إنترنت 8
+
+291
+00:25:36,030 --> 00:25:39,270
+ميجا، 8 ميجا، يعني من ال access على ال database
+
+292
+00:25:39,270 --> 00:25:40,430
+تبعت الترخيص
+
+293
+00:25:46,280 --> 00:25:51,240
+مهن عمال اقولتلك انا وفرتلك اتصال internet ممتاز
+
+294
+00:25:51,240 --> 00:25:57,880
+وسريع جدا مع database تبعت الترخيص بدي
+
+295
+00:25:57,880 --> 00:26:00,680
+image detection عشان يقرأ رقم اللوحة جابلي ال
+
+296
+00:26:00,680 --> 00:26:03,400
+image detection بدي camera عشان تقرأ اللوحة
+
+297
+00:26:06,790 --> 00:26:09,270
+اللوحات موجودة، انسى، كل اللوحات مساعدة والمفروض
+
+298
+00:26:09,270 --> 00:26:12,750
+كلها شغالة بنفس ال standard بشتغل على إنه فعلياً
+
+299
+00:26:12,750 --> 00:26:19,130
+في لوحة على السيارة والأرقام مقروقة آه الشباب، إيش
+
+300
+00:26:19,130 --> 00:26:24,790
+اللي هيصير فعلياً؟ أنا الآن بحاجة إلى .. أيوة، إن
+
+301
+00:26:24,790 --> 00:26:29,090
+الكاميرا تكون موجودة، تمام، تلتقط الصورة، طبعا
+
+302
+00:26:29,090 --> 00:26:33,810
+لاحظ .. تخيل، تخيل هيكأنه بدل .. بدل البرنامج هذا
+
+303
+00:26:33,810 --> 00:26:37,890
+إنسان قاعد ماسك الجوال أو التاب المتصل مع الوزارة
+
+304
+00:26:37,890 --> 00:26:43,370
+بنفس الخط شاف السيارة وبيدخل رقمها طب في لحظة
+
+305
+00:26:43,370 --> 00:26:48,350
+ادخال السيارة الواحدة في عشر سيارات تانية دخلت
+
+306
+00:26:48,350 --> 00:26:53,610
+بينما ال system ممكن يقرأ العشر سيارات هدول في نفس
+
+307
+00:26:53,610 --> 00:26:58,610
+اللحظة ولا لا؟ الآنالكاميرا هي مصدر بيانات ومصدر
+
+308
+00:26:58,610 --> 00:27:01,890
+بيانات ضخم جدا إحنا قاعد بتكلم على مثال تحديد
+
+309
+00:27:01,890 --> 00:27:06,750
+اللوحات وفي ناس ممكن تصعد لأكثر لتحديد الوجوه من
+
+310
+00:27:06,750 --> 00:27:11,070
+الناس اللي قاعدة في السيارة أه لأن بكل بساطة مصدر
+
+311
+00:27:11,070 --> 00:27:14,130
+بيانات والكاميرا موجودة سواء كانت officially أو
+
+312
+00:27:14,130 --> 00:27:17,530
+legally أو illegal موجودة سواء كنت شايفها أو غير
+
+313
+00:27:17,530 --> 00:27:22,930
+شايفها أو أنت مش شايفها في الآخربتصور و تحدد الهدف
+
+314
+00:27:22,930 --> 00:27:26,550
+و ال site تبعتها واسعة و بتسحب كله فالمعلومات سهلة
+
+315
+00:27:26,550 --> 00:27:30,570
+جدا أنك تحصل عليها في أي مجال أنت بدكيها يعني مثلا
+
+316
+00:27:30,570 --> 00:27:34,450
+واحد بيقرر إن الصوت اللي إحنا سمعناه هذا صوت فعليا
+
+317
+00:27:34,450 --> 00:27:38,930
+مجدح ولا صوت سيارة كانت ماشية بجنبنا ماشاء الله
+
+318
+00:27:38,930 --> 00:27:45,200
+عليك خبرةالان الفكرة ان انا فعليا بابني system طب
+
+319
+00:27:45,200 --> 00:27:51,000
+الآن عشان ال system تبع يكون دقيق بيلزمه يتعرف على
+
+320
+00:27:51,000 --> 00:27:56,520
+قالية كتابة الأرقام و قبل ما يتعرف على قالية كتابة
+
+321
+00:27:56,520 --> 00:28:03,340
+الأرقام يقدر يبحث عن اللوحة وين في جلب الشاشة طب
+
+322
+00:28:03,340 --> 00:28:05,180
+وين أماكن اللوحات؟
+
+323
+00:28:07,360 --> 00:28:10,420
+بتختلف حسب ارتفاع السيارة ممكن واحد يحطها على
+
+324
+00:28:10,420 --> 00:28:12,920
+اليمين، ممكن يحطها على الوسط، مظبوط؟ ممكن يحطها في
+
+325
+00:28:12,920 --> 00:28:16,460
+اليسار، فانت ال system بدك تدوره، يبحث، وهذا
+
+326
+00:28:16,460 --> 00:28:20,360
+الكلام مش هيصير اتعلمه إلا غير لما تعرض عليه
+
+327
+00:28:20,360 --> 00:28:24,680
+مجموعة من الصور، لسيارات موجودة ولكل الاحتمالات
+
+328
+00:28:24,680 --> 00:28:30,360
+عشان فعلا يتعلموا كيف يبدوا يبحث طيب، بالتالي
+
+329
+00:28:30,360 --> 00:28:35,070
+الكاميرات الموجودة في الشوارعموجودة للحكومة موجودة
+
+330
+00:28:35,070 --> 00:28:38,190
+لأصحاب المحلات موجودة وبالتالي أنا في أن تتضخم في
+
+331
+00:28:38,190 --> 00:28:42,850
+حجم البيانات لدرجة إنه ممكن نغرق فيها لكنه نتضور
+
+332
+00:28:42,850 --> 00:28:48,830
+جوعا للمعرفة تمام هنتقل للخطوة التانية في الـ
+
+333
+00:28:48,830 --> 00:28:53,850
+knowledge discovery process لو أنا سألتي الآن شو
+
+334
+00:28:53,850 --> 00:28:57,810
+بتتوقع بعيدا عن الناس اللي معاهم ال slides شو
+
+335
+00:28:57,810 --> 00:29:04,410
+بتتوقع جدش عدد الخطواتأو المراحل اللي أنا همر فيها
+
+336
+00:29:04,410 --> 00:29:15,370
+لحد ما أحصل على ال knowledge خمسة سبعة أيوة عشرة
+
+337
+00:29:15,370 --> 00:29:19,350
+هي مش مزاد ربالكوا حاول .. حاول تعمل estimation
+
+338
+00:29:19,350 --> 00:29:30,050
+حسب البرنامج أو حسب الحالة طيب أيوة افترض .. افترض
+
+339
+00:29:30,050 --> 00:29:38,120
+المناقب عن الذهبإيش بيساوي؟ بيبدأ .. بيدور على
+
+340
+00:29:38,120 --> 00:29:42,960
+دهب؟ لأ، بيدورش .. بيبدأ يدور على تربة معينة قريبة
+
+341
+00:29:42,960 --> 00:29:45,920
+من المناطق البراكين والحرق والزلازل والحركة
+
+342
+00:29:45,920 --> 00:29:49,280
+الأرضية بيجيش في الشيعية مثلا يدور ولا في غزة في
+
+343
+00:29:49,280 --> 00:29:52,840
+الشاطئ يدور، مصبوط؟ ليش؟ لأن هذه المناطق طالما هي
+
+344
+00:29:52,840 --> 00:29:57,840
+بعيدة عن المناطق البراكين والزلازل مش هيطلع
+
+345
+00:29:57,840 --> 00:30:02,360
+بالضبط، مافيش فرصة إنه يبين الدهب أو يتجمع أو يظهر
+
+346
+00:30:03,010 --> 00:30:06,730
+فبالتالي هو بدأ يبحث وبالتالي أنت كذلك بدأت تبحث
+
+347
+00:30:06,730 --> 00:30:10,470
+عن البيانات اللي موجودة عندك طيب، لجينا البيانات و
+
+348
+00:30:10,470 --> 00:30:14,890
+هو حدد التربة، شو بيبدأ يسوي؟ يعني قالوله والله
+
+349
+00:30:14,890 --> 00:30:18,290
+المنطقة الفلانية منطقة غصبة ممكن يكون فيها، بديه
+
+350
+00:30:18,290 --> 00:30:21,410
+يبدأ تنقيب مباشرة؟ جيه، بديه ياخد عينات، بديه
+
+351
+00:30:21,410 --> 00:30:26,120
+يفحص، بديه يشوف فعليا فيه موجود ولا مافيشمش دي ولا
+
+352
+00:30:26,120 --> 00:30:30,500
+غير لأ بدي أحاول يعمل pilot study هذه مش موجودة
+
+353
+00:30:30,500 --> 00:30:35,160
+علينا الآن لأن لما أنا بديت أجيب البيانات تخيل أن
+
+354
+00:30:35,160 --> 00:30:39,840
+أحنا بدنا نفحص الوضع علاقة الوضع الصحي أو تأثير
+
+355
+00:30:39,840 --> 00:30:45,680
+الوضع الصحي على تحصيل الطالب في المراحل الإبتدائية
+
+356
+00:30:45,680 --> 00:30:49,700
+الشيء
+
+357
+00:30:51,640 --> 00:30:54,160
+أما أنا قاعد بقولك أنا بدي knowledge أو بدي .. بدي
+
+358
+00:30:54,160 --> 00:30:58,180
+أشوف إيش ال pattern أو إيش النمط اللي موجود أو
+
+359
+00:30:58,180 --> 00:31:03,420
+العلاقة اللي موجودة بين الحالة الصحية للطالب أو
+
+360
+00:31:03,420 --> 00:31:07,980
+للتلميذ تمام؟ مع محسوة تحصيله العلمي في المرحلة
+
+361
+00:31:07,980 --> 00:31:12,340
+الإبتدائية الآن تحصيله العلمي بسيطة بروح على وزارة
+
+362
+00:31:12,340 --> 00:31:14,960
+الترابي والتعليم قالوا يا جماعة الخير بدنا بيانات
+
+363
+00:31:14,960 --> 00:31:20,350
+الطلاب في المرحلة الإبتدائية تمام؟ هيهالأ مافيش
+
+364
+00:31:20,350 --> 00:31:24,650
+فيها بيانته الصحية بيانته الصحية مش موجودة في
+
+365
+00:31:24,650 --> 00:31:27,850
+الترابي والتعليم موجودة وين؟ وزارة الصحة فاروح
+
+366
+00:31:27,850 --> 00:31:31,450
+وزارة الصحة هقولهم الله بدي بيانات .. بدي بيانات
+
+367
+00:31:31,450 --> 00:31:35,750
+الأطفال اللي موجود .. محصورين من سن مثلا خمس سنوات
+
+368
+00:31:35,750 --> 00:31:40,290
+لكذا مسجلين في المدارس إذا كان عنده مصنف مسجل أو
+
+369
+00:31:40,290 --> 00:31:43,970
+غير مسجل في المدرسة بساعدوني بقلصه وإلا هيدوني
+
+370
+00:31:43,970 --> 00:31:45,870
+اتفضل هي الفئة العمرية اللي انت طلبتها كلها يا
+
+371
+00:31:45,870 --> 00:31:50,260
+عزيزي إيش شبك تسوي بعد هيك؟أولش بياخد تعمل match
+
+372
+00:31:50,260 --> 00:31:53,300
+بتصفت اللي جبتها من الصح عشان تعمل match لو أنا
+
+373
+00:31:53,300 --> 00:31:57,560
+بدي بيانات الطالب كم .. طيب و بعد هيك تعمل بينهم
+
+374
+00:31:57,560 --> 00:32:03,120
+integration ولا شو رايك؟ هي مرحلة تانية الآن في
+
+375
+00:32:03,120 --> 00:32:07,060
+قبل المرحلة هاي .. قبل مرحلة ال integration في
+
+376
+00:32:07,060 --> 00:32:10,840
+مرحلة بنسميها ال cleaning ال cleaning أنا مش كل ال
+
+377
+00:32:10,840 --> 00:32:16,570
+data دي بتلزمني تمام؟ اهفبدي .. مش كل ال columns
+
+378
+00:32:16,570 --> 00:32:19,790
+بتلزمني فحط أحد بدي أحدد مين هي ال columns اللي
+
+379
+00:32:19,790 --> 00:32:24,510
+أستبقى بعد هيك بعد ال integration في عندي
+
+380
+00:32:24,510 --> 00:32:27,750
+transformation فاحنا فعليا بنتكلم على تمن مراحل
+
+381
+00:32:27,750 --> 00:32:35,570
+شباب في التعامل مع ال knowledge discovery
+
+382
+00:32:35,570 --> 00:32:41,550
+databases مختلفة ممكن أعملها cleaning مصادرها
+
+383
+00:32:41,550 --> 00:32:45,160
+مختلفة ممكن database أو data fileبدي أعمل
+
+384
+00:32:45,160 --> 00:32:47,500
+selection بعدها بعد ال integration أعمل selection
+
+385
+00:32:47,500 --> 00:32:50,700
+و transformation و أروح على ال data mining أعمل
+
+386
+00:32:50,700 --> 00:32:54,200
+evaluation عشان أتحقق من ال validity تبع ال
+
+387
+00:32:54,200 --> 00:32:58,180
+pattern تبعي قبل ما أعمله presentation الخطوة
+
+388
+00:32:58,180 --> 00:33:02,160
+الأولى بحنا بنسميها data cleaning data cleaning
+
+389
+00:33:02,160 --> 00:33:06,120
+معناته أنا بدي أعمل remove لل noise data أو remove
+
+390
+00:33:06,120 --> 00:33:12,400
+لل inconsistent dataأو أكمل أو أحذف الـincomplete
+
+391
+00:33:12,400 --> 00:33:15,980
+data يعني لما أنا بسمع كلمة noise data فيه three
+
+392
+00:33:15,980 --> 00:33:22,260
+terms مباشرة لازم تتبادر لذهنك الأول الـincomplete
+
+393
+00:33:22,260 --> 00:33:27,320
+الـ null مافيش عندي value التانية الـ inconsistent
+
+394
+00:33:27,320 --> 00:33:34,600
+data البيانات الغير متناسقة طب و ال noise اللي هي
+
+395
+00:33:34,600 --> 00:33:41,380
+فيه قيم لكن القيم هذه خاطئةالقيم هذه خاطئة مثل أجي
+
+396
+00:33:41,380 --> 00:33:46,100
+أقولك إن ال salary بيسالب سالب 1300 مين اللي
+
+397
+00:33:46,100 --> 00:33:50,880
+بيقبلش؟ لأ انت بدأت مش .. مش في منطق .. مش في موقع
+
+398
+00:33:50,880 --> 00:33:54,380
+.. في .. في مكان حكومة تقول بيقبل و بيقبلش انت
+
+399
+00:33:54,380 --> 00:33:57,460
+دورك الآن انت خدت ال database أو خدت بيانات من ال
+
+400
+00:33:57,460 --> 00:34:01,620
+database أو ادوك جدول بيانات لجد في الموظف الفلاني
+
+401
+00:34:01,620 --> 00:34:10,240
+ال salary تبعه ناقص 1450هد inconsistent data لأ هد
+
+402
+00:34:10,240 --> 00:34:15,780
+missing data لأ فيه value هد noise data تماما مثل
+
+403
+00:34:15,780 --> 00:34:22,420
+أنا متوقع العمر اللي عندي لقته
+
+404
+00:34:22,420 --> 00:34:27,980
+180 طالب
+
+405
+00:34:27,980 --> 00:34:32,280
+مدرسة و 180 هد
+
+406
+00:34:32,280 --> 00:34:38,920
+مش missingتمام؟ هذه مش inconsistent هذه noise
+
+407
+00:34:38,920 --> 00:34:43,880
+incorrect noise data في خطأ في ال data هبدها إيش؟
+
+408
+00:34:43,880 --> 00:34:48,860
+بدها تعديل طيب
+
+409
+00:34:48,860 --> 00:34:52,720
+أول بدنا مع ال missing إنه أنا فعليا في عندي null
+
+410
+00:34:52,720 --> 00:34:57,860
+values زي ما قلنا ال noise data في عندي قيم أو في
+
+411
+00:34:57,860 --> 00:35:01,740
+عندي قيمة خاطئةزي سالب عشرة ال salary أو ال age
+
+412
+00:35:01,740 --> 00:35:06,500
+180 أو ما شابه ال inconsistent أجي ألاقي على سبيل
+
+413
+00:35:06,500 --> 00:35:10,540
+المثال أن ال gender male و ال status pregnant
+
+414
+00:35:10,540 --> 00:35:13,960
+الجنس
+
+415
+00:35:13,960 --> 00:35:18,640
+ذكر و الحالة حامل حامل الهموم الدنيا الله يعينه
+
+416
+00:35:18,640 --> 00:35:22,240
+تمام؟ بالتالي هاي ال inconsistent أجي ألاقي مثلا
+
+417
+00:35:22,240 --> 00:35:29,630
+ال age 40 سنة و هو موليد ال 95 .. 1995هذه
+
+418
+00:35:29,630 --> 00:35:33,430
+inconsistent يعني الـ inconsistent يعني أنا فيه
+
+419
+00:35:33,430 --> 00:35:36,830
+عندي two values موجودات في نفس ال rows لكن
+
+420
+00:35:36,830 --> 00:35:42,670
+الاثنتين بتناقضوا مع بعضهم، تمام؟ في حد بيقدر يجيب
+
+421
+00:35:42,670 --> 00:35:47,750
+كمان مثال على ال inconsistent data جبتلك ال age
+
+422
+00:35:47,750 --> 00:35:52,850
+وجبتلك ال gender مثلا،
+
+423
+00:35:52,850 --> 00:35:57,730
+كمان مثالكمان مثال على ال inconsistent data اسمه
+
+424
+00:35:57,730 --> 00:36:01,950
+اللي بيقول قيمة ال salary تبعته ألف وقيمة ال tax
+
+425
+00:36:01,950 --> 00:36:07,950
+أو الضريبة اللي تدفع ألفين المدرسة
+
+426
+00:36:07,950 --> 00:36:13,450
+في ولاية .. يعني مثلا هو في ولاية غزة العتيدة و
+
+427
+00:36:13,450 --> 00:36:18,450
+بدرس في ولاية رمالة مافيش مشكلة .. مافيش مشكلة
+
+428
+00:36:18,450 --> 00:36:24,820
+طالب مش متجر المدرسةفي الجامعة الإسلامية بتصير
+
+429
+00:36:24,820 --> 00:36:30,220
+مافيش مشكلة طالب انسجد في مدرسة للإناث؟ اه ايوة
+
+430
+00:36:30,220 --> 00:36:34,220
+هذه inconsistent data الطالب موجود في مدرسة ..
+
+431
+00:36:34,220 --> 00:36:38,000
+مدرسة للإناث مختلفة .. مختلفة .. مختلفة .. مختلفة؟
+
+432
+00:36:38,000 --> 00:36:43,060
+لأ هو حددها قيدها مدرسة للإناث مستحيل تكون مختلفة
+
+433
+00:36:43,060 --> 00:36:50,400
+طيب تمام دكتور بيطري في مستشفي البشري برضه فكرة
+
+434
+00:36:53,200 --> 00:36:59,160
+بواسطة تمام data integration ضربنا مثال على ال
+
+435
+00:36:59,160 --> 00:37:02,420
+data integration مهم جدا أن أنا أجمع البيانات لأنه
+
+436
+00:37:02,420 --> 00:37:07,740
+مش ضروري مصدر البيانات تبعتي تكون في مكان واحد زي
+
+437
+00:37:07,740 --> 00:37:12,000
+ما شوفنا من التعليم ومن الصحة فانت الآن مقلوب منك
+
+438
+00:37:12,000 --> 00:37:18,940
+تجمع البيانات هذه ال
+
+439
+00:37:18,940 --> 00:37:24,510
+data selection المفروضسواء كانت هذه الخطوة تسبق
+
+440
+00:37:24,510 --> 00:37:29,490
+الـ Integration أو بعدها، ليس قضية كتير، لكن بعدها
+
+441
+00:37:29,490 --> 00:37:35,690
+أنسب عشان تقدر أول حاجة تعمل Remove للـ Redundant
+
+442
+00:37:35,690 --> 00:37:40,830
+Attribute القيم المتكررة Redundant Attribute يعني
+
+443
+00:37:40,830 --> 00:37:45,090
+أنا الآن في عندى عمودين بدون نفس الـ Knowledge مثل
+
+444
+00:37:45,090 --> 00:37:52,200
+Date of Birth والـ Ageلاقيت والله أنا في التربية
+
+445
+00:37:52,200 --> 00:37:56,580
+والتعليم باعتمدوا تاريخ ميلاده لكن في وزارتي الصحة
+
+446
+00:37:56,580 --> 00:38:00,140
+باعتمد التقارير أو ال database اللي جاتني بتعتمد
+
+447
+00:38:00,140 --> 00:38:05,680
+على ال age two different attributes هدول بصبت؟ two
+
+448
+00:38:05,680 --> 00:38:08,940
+different attributes من ناحية نام لكن ال meaning
+
+449
+00:38:08,940 --> 00:38:15,020
+تبعتهم المعنى تبعتهم واحدة common وبالتالي أن هدول
+
+450
+00:38:15,020 --> 00:38:20,280
+حرام التنين يظلواتمام؟ لأن أي attribute أنا هضيفه
+
+451
+00:38:20,280 --> 00:38:24,580
+هيمثل more computation شو يعني more computation؟
+
+452
+00:38:24,580 --> 00:38:29,100
+ماتقولليش حساب كتير ايوة يعني ال performance تبع
+
+453
+00:38:29,100 --> 00:38:35,360
+ال system تبعي down، هيقل، ممتاز كذلك، هل كل ال
+
+454
+00:38:35,360 --> 00:38:42,360
+attribute لها علاقة بال .. بالهدف
+
+455
+00:38:42,360 --> 00:38:47,480
+تبعتي؟ على سبيل المثال، أنه يمشي نقول واللهمن ضمن
+
+456
+00:38:47,480 --> 00:38:51,420
+البيانات اللي موجودة هل الوالد يمتلك سيارة أو لا؟
+
+457
+00:38:51,420 --> 00:38:55,500
+الآن
+
+458
+00:38:55,500 --> 00:39:01,860
+فعلاً بدك تدرس بشكل بسيط هل في علاقة بين صحة الولد
+
+459
+00:39:01,860 --> 00:39:07,280
+وتحصيله المدرسة وأبوه عنده سيارة أو لا؟ لأ، المنطق
+
+460
+00:39:07,280 --> 00:39:11,760
+بيقول لأ ولو كلنا صوتنا الآن، عملنا vote تمام، مش
+
+461
+00:39:11,760 --> 00:39:16,920
+صوتنا، صرخنا يعنيفعلياً هنقول لأ مافيش علاقة أو
+
+462
+00:39:16,920 --> 00:39:20,420
+بلاش سيارة أبو طابلون سيارة جيرانهم هي بعيدة تمام
+
+463
+00:39:20,420 --> 00:39:24,140
+.. هي مطلقة .. بعيدة تمام وبالتالي انت هتصير تدور
+
+464
+00:39:24,140 --> 00:39:28,260
+على ال irrelevant attribute طيب مثال على attribute
+
+465
+00:39:28,260 --> 00:39:32,960
+دائما موجود وهو irrelevant هل علاق .. هناك علاقة
+
+466
+00:39:32,960 --> 00:39:41,820
+بين صحة الطالب واسمه أو حص التعليمي ورقم هويته
+
+467
+00:39:41,820 --> 00:39:46,770
+مثلا أو اسمهيعني هل في واحد بدرسش عشان اسمه
+
+468
+00:39:46,770 --> 00:39:55,630
+عبدالكريم مثلا أو خالد أو أحمد؟ هل
+
+469
+00:39:55,630 --> 00:40:01,850
+في واحد ال .. عشان اسمه إياد والله دايما مريض؟
+
+470
+00:40:01,850 --> 00:40:06,190
+طبعا لما أنا اخترت الاسم اخترته بشكل عشوائي ماخطرش
+
+471
+00:40:06,190 --> 00:40:10,830
+في بالي أي حد و بدون ما تنجر أحسن إلكأه يوان
+
+472
+00:40:10,830 --> 00:40:13,930
+وبالتالي
+
+473
+00:40:13,930 --> 00:40:17,670
+.. بالتالي الآن في هذه الـirrelevant attribute أنا
+
+474
+00:40:17,670 --> 00:40:21,990
+بدي أشيلها ليش؟ لأنها فعلياً هي useless مش هتفضلي
+
+475
+00:40:21,990 --> 00:40:25,610
+أو مش هتضيفلي data مطلقاً يعني أنا كمان مرة في ال
+
+476
+00:40:25,610 --> 00:40:30,090
+data selection مهمتي أني أخلص من ال irrelevant
+
+477
+00:40:30,090 --> 00:40:35,770
+attribute وال redundant attribute هدولة لازم إيش
+
+478
+00:40:35,770 --> 00:40:43,870
+أنا أشيلهم أو أحذفهمData Transformation الآن
+
+479
+00:40:43,870 --> 00:40:46,950
+بما أن أحنا بنتكلم على ذيانات أو تأثير الحالة
+
+480
+00:40:46,950 --> 00:40:50,730
+الصحية على تحصيل الطالب أو التلميذ في المرحلة
+
+481
+00:40:50,730 --> 00:40:54,510
+الإبتدائية معناته أنا بدي أسأل نفسي، مين أحسن
+
+482
+00:40:54,510 --> 00:41:03,690
+إليه؟ أتعامل مع تاريخ الميلاد؟ ولا الـ Age؟ عشان
+
+483
+00:41:03,690 --> 00:41:09,020
+أحتفظ بواحد فيهم أنت بدك تحذف واحد منهم الآنانت
+
+484
+00:41:09,020 --> 00:41:14,280
+لازم تحذف واحد منهم تمام؟ بدك تحذف ال age؟ تمام،
+
+485
+00:41:14,280 --> 00:41:17,800
+بدك تحذف ال .. طيب عشان أنا أريحك و أساعدك في
+
+486
+00:41:17,800 --> 00:41:21,860
+النقطة اللي احنا هنجيها بنعمل التفصيل لاحقا لأن يا
+
+487
+00:41:21,860 --> 00:41:27,800
+سيدي العزيز عدد ال distinct values اللي موجودة في
+
+488
+00:41:27,800 --> 00:41:32,120
+ال attribute هده جداش كبير
+
+489
+00:41:32,120 --> 00:41:38,450
+فعليا هيكونأكبر من عدد .. تلاتمية موجدتش يا حسن ..
+
+490
+00:41:38,450 --> 00:41:44,690
+يا حسن تلاتمية خمسة وستين لأ انت .. انت اتكلمت على
+
+491
+00:41:44,690 --> 00:41:48,390
+أيام السنة وفي .. وفي .. وفي تقاطعات بينهم في طلاب
+
+492
+00:41:48,390 --> 00:41:52,990
+موجودين في نفس اليوم مافيش مشكلة طبعا وفي موجودين
+
+493
+00:41:52,990 --> 00:41:56,510
+في نفس اليوم من الشهر لكن في السنة الأخرى فالعدد
+
+494
+00:41:56,510 --> 00:42:01,770
+هنا كبير جدا و هو حتما أكبر بكتير من ال age لأن لو
+
+495
+00:42:01,770 --> 00:42:09,830
+اتكلمت على ال ageمعناته هتتكلم من خمسة ..
+
+496
+00:42:09,830 --> 00:42:15,190
+سابق .. سابق ابتدائي من عند .. اتناش أو تلت ناش ..
+
+497
+00:42:15,190 --> 00:42:17,310
+مش .. مش هاخدل .. مش هاخدل في الكتير أنا وياك
+
+498
+00:42:17,310 --> 00:42:24,950
+اربعة اتناش كام distinct value موجودة؟ تسعة بالله
+
+499
+00:42:24,950 --> 00:42:29,490
+عليك تتعامل أو تدور على pattern على تسعة قيم
+
+500
+00:42:29,490 --> 00:42:33,550
+مختلفة ولا تدور على pattern فيه عدد كبير انت مش
+
+501
+00:42:33,550 --> 00:42:34,210
+قادر تحصره
+
+502
+00:42:37,540 --> 00:42:42,180
+انت ايش؟ يعني انت متوقع .. ايوة شوية انت متوقع ان
+
+503
+00:42:42,180 --> 00:42:45,780
+الولد اتنين .. ان الولد مثلا في شهر اتنين هم اكثر
+
+504
+00:42:45,780 --> 00:42:50,100
+ذكاء من الولد في شهر تلاتة؟
+
+505
+00:42:50,100 --> 00:42:53,880
+شوف انت ممكن تعمل دراسة بس انت الآن هل هذا هو ال
+
+506
+00:42:53,880 --> 00:42:56,940
+pattern اللي احنا بندور عليه؟ لأ مين قال هذا
+
+507
+00:42:56,940 --> 00:42:59,920
+الكلام؟ انت فعليا لدورت في كل علماء العالم
+
+508
+00:42:59,920 --> 00:43:04,160
+هتلاقيهم موزعين على أشهر السنة لأن مع الاعتقاد
+
+509
+00:43:04,160 --> 00:43:10,380
+الجازين ان ال ..العقول فيها جزء منها من الله تبارك
+
+510
+00:43:10,380 --> 00:43:15,640
+وتعالى لكن أكتر من 90 أو 95% جد واجتهاد والجد
+
+511
+00:43:15,640 --> 00:43:20,760
+والاجتهاد ده مش مرتبط بالشهر اللي أنا ولدت فيه ولا
+
+512
+00:43:20,760 --> 00:43:26,960
+بالساعة بين جثم .. مالوش داعش بالأبراج شوف
+
+513
+00:43:26,960 --> 00:43:30,120
+ممكن أنت تعمل دراسة و تشوف أنت فعليا شوف أنت لما
+
+514
+00:43:30,120 --> 00:43:34,620
+بتكون معني بتصير تدور، بتصير تنبش و تدور الآن هذه
+
+515
+00:43:34,620 --> 00:43:38,620
+بيانات قدامكبس في الآخر اللي بطرحه راني هان هو
+
+516
+00:43:38,620 --> 00:43:43,680
+فعليا relevant لل task تبعته اه بس اللي أنا بتكلم
+
+517
+00:43:43,680 --> 00:43:50,440
+فيه الشهر مالهوش داخل في الموضوع طيب الان ممتاز
+
+518
+00:43:50,440 --> 00:43:57,040
+احنا بتكلم هان على تسع قيم مختلفة nine distinct
+
+519
+00:43:57,040 --> 00:44:05,070
+values تسعة و تسعة تسعة distinct values عندي هانطب
+
+520
+00:44:05,070 --> 00:44:08,810
+لو .. ممكن يصيروا تلاتة هدول؟ ممكن تقريبا تقريبا
+
+521
+00:44:08,810 --> 00:44:12,570
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+522
+00:44:12,570 --> 00:44:15,130
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+523
+00:44:15,130 --> 00:44:18,530
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+524
+00:44:18,530 --> 00:44:20,970
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+525
+00:44:20,970 --> 00:44:31,690
+تقريبا تقريبا تقريبا تقريب
+
+526
+00:44:33,740 --> 00:44:37,680
+من الناس اللي بتعد بالملايين مثل سوريا ولبنان
+
+527
+00:44:37,680 --> 00:44:47,020
+وقولّك راتبه 15 مليون وسبعمية وخمسين ألف ليرة سوري
+
+528
+00:44:47,020 --> 00:44:52,820
+كده صح؟ 15
+
+529
+00:44:52,820 --> 00:44:57,740
+مليون وسبعمية وخمسين ألف ليرة مش شكتش ..شو؟ ماليش
+
+530
+00:44:57,740 --> 00:45:02,770
+دخل بالقيمةبس تخيل .. تخيل انك انت بتعمل عمليات
+
+531
+00:45:02,770 --> 00:45:09,910
+حسابية على أرقام بالضخامة هاي اه بالضبط فمطلوب مني
+
+532
+00:45:09,910 --> 00:45:15,250
+ان احورها بدون ما افقد قيمتها واحد يقترح عليا
+
+533
+00:45:15,250 --> 00:45:24,850
+احولها لدولار اكتب الف يعني مثلا طيب
+
+534
+00:45:28,240 --> 00:45:33,700
+تقريت .. تقريت .. هذه 16 مليون مثلا شو رايكوا لو
+
+535
+00:45:33,700 --> 00:45:36,640
+قررت أخلص من ال 100 ألف هدول أو العشرة ألاف هدول
+
+536
+00:45:36,640 --> 00:45:41,620
+الأربع أسفار أو
+
+537
+00:45:41,620 --> 00:45:45,460
+بروح بعملهم discretization تبع للفئة الراتب هذا من
+
+538
+00:45:45,460 --> 00:45:50,080
+عدد عالي و لا متوسط و لا منخفض قالولي والله منخفض
+
+539
+00:45:50,080 --> 00:45:54,160
+و حطه في فئة المنخفض خلاص لأن بصير ال value نفسها
+
+540
+00:45:54,160 --> 00:45:58,640
+مش ذات قيمة إليطبعا ممكن في لحظة من اللحظات ال
+
+541
+00:45:58,640 --> 00:46:02,240
+system يجبرني إن أنا بتتعامل مع الرقم بس يبقى
+
+542
+00:46:02,240 --> 00:46:04,900
+الرقم هذا كبير بقولك okay أنا والله بدأ أروح
+
+543
+00:46:04,900 --> 00:46:13,300
+أستبدله ب 15 point 75 في العمليات الحسابية أسهل
+
+544
+00:46:13,300 --> 00:46:20,110
+وأبسط من أن أتعامل مع الرقم هذا، ولا لا؟بقدر أرجع
+
+545
+00:46:20,110 --> 00:46:23,530
+وقت ما بدي للحجم اللي أنا بديها وبالتالي الـ Data
+
+546
+00:46:23,530 --> 00:46:29,370
+Transformation شغلة مهمة وأساسية في موضوع الـ Data
+
+547
+00:46:29,370 --> 00:46:34,210
+Mining لاحظ الـ Cleaning الـ Integration الـ
+
+548
+00:46:34,210 --> 00:46:37,470
+Selection الـ Transformation لسه ما وصلتش لـ الـ
+
+549
+00:46:37,470 --> 00:46:42,770
+Mining أنا كله عمالي بحاول أجهز لل Data قاعد بعمل
+
+550
+00:46:42,770 --> 00:46:49,550
+الـ Pre Processing لل Data بعد هيك بنتقلالـ Data
+
+551
+00:46:49,550 --> 00:46:57,270
+Mining أول
+
+552
+00:46:57,270 --> 00:47:02,750
+مرحلة التنقيب الحقيقية الآن في المرحلة هذه المفروض
+
+553
+00:47:02,750 --> 00:47:06,910
+أنا بدي أستخدم مجموعة من الـ Algorithm ومش أي
+
+554
+00:47:06,910 --> 00:47:11,070
+Algorithm أو مش أي قرق هي الـ Intelligent Method
+
+555
+00:47:11,070 --> 00:47:14,450
+اللي علاقة بالذكاء الصناعي بالـ Machine Learning
+
+556
+00:47:14,450 --> 00:47:18,080
+بحيث إن هو اللي بدي يدور على ال patternلو أنا
+
+557
+00:47:18,080 --> 00:47:20,700
+سألتك جديش استغلقت وقت وانت بتدور على ال two
+
+558
+00:47:20,700 --> 00:47:22,760
+patterns ال pattern الأول كان سهل لأنه مميزك يا
+
+559
+00:47:22,760 --> 00:47:28,020
+بالأحمر أنا صادقا بالمثال السابق لكن جديش أخدت
+
+560
+00:47:28,020 --> 00:47:30,080
+وجهتك أنه وانت بتدور على ال pattern التاني و
+
+561
+00:47:30,080 --> 00:47:34,920
+بتحاول تصيغه خدت وجه طويل كل نص دقيقة دقيقة مش
+
+562
+00:47:34,920 --> 00:47:39,840
+قضية وجه طويل الآن هدولة خمسة رو تلت أعمدة بينما
+
+563
+00:47:39,840 --> 00:47:42,140
+ممكن تكون ال data set اللي عندك فيها مائة ألف
+
+564
+00:47:42,140 --> 00:47:47,740
+record وفيها عشرة attributeأه الـ Visualization
+
+565
+00:47:47,740 --> 00:47:52,100
+بريحك عشان تفهم بس بيعرضكاش كل شيء ليش؟ لأنه لما
+
+566
+00:47:52,100 --> 00:47:56,320
+تتكلم على عشر Attributes أنت maximumly تقدر تظهر
+
+567
+00:47:56,320 --> 00:47:59,800
+العلاقة بين three attributes في الـ 3D بعد هيك
+
+568
+00:47:59,800 --> 00:48:06,810
+قلصنا ففعليا ندخل في تحدي جديدإنه أنا ما بقدر أعمل
+
+569
+00:48:06,810 --> 00:48:10,610
+analysis على عشر attributes ميت الف raw عشان أدور
+
+570
+00:48:10,610 --> 00:48:14,270
+على pattern معين إيش الحل؟ بدي intelligent method
+
+571
+00:48:14,270 --> 00:48:18,470
+تشتغلها طبعا ال machine learning بتخدمني بشكل كبير
+
+572
+00:48:18,470 --> 00:48:22,170
+مفرال مجموعة من ال method زي ال neural network ال
+
+573
+00:48:22,170 --> 00:48:25,070
+decision tree وال association rules ال algorithms
+
+574
+00:48:25,070 --> 00:48:31,370
+اللي هندرسهم لاحقاطبعاً عملنا binding لحظة وكلمتين
+
+575
+00:48:31,370 --> 00:48:34,670
+ومرينا هي ال data mining ماقفلاش عندها كتير يعني
+
+576
+00:48:34,670 --> 00:48:38,970
+بنجو سين أنا مش حبدع أو مش هنتج أو مش مسئوليتي
+
+577
+00:48:38,970 --> 00:48:43,150
+إنتاج method جديدة كل اللي أنا بديها في المرحلة
+
+578
+00:48:43,150 --> 00:48:47,570
+هاي هي عبارة عن عملية التنقيب اللي بتقوم فيها
+
+579
+00:48:47,570 --> 00:48:52,210
+الأدوات اللي صنعت ليها الشركاتفالـ Machine
+
+580
+00:48:52,210 --> 00:48:55,650
+Learning و الـ AI بتزودوني الـ Machine Learning
+
+581
+00:48:55,650 --> 00:48:58,930
+بالتحديد كفرع من الـ AI بتزودني بالـ method فانا
+
+582
+00:48:58,930 --> 00:49:02,030
+بدأ أعرف إيش ال method و أعرف أستخدمها بشكل صحيح
+
+583
+00:49:02,030 --> 00:49:12,210
+الآن حصلت على pattern ال pattern هذا must be must
+
+584
+00:49:12,210 --> 00:49:18,230
+be useful must be valid قبل ال useful فخلّيك معانا
+
+585
+00:49:18,230 --> 00:49:20,090
+و ماتصرحوش أهي يا شباب
+
+586
+00:49:25,910 --> 00:49:32,070
+لو جارك سرحان وجته سرح وبدك تعمل mining على ال
+
+587
+00:49:32,070 --> 00:49:36,750
+situation اللي هو فيها إيش ال knowledge اللي بتطلع
+
+588
+00:49:36,750 --> 00:49:41,970
+فيها مباشرة محمد الكحلوت عمال بيقول لي بلاش آه ..
+
+589
+00:49:41,970 --> 00:49:50,590
+آه يا شباب .. جعان .. بتتجوز .. كان نام تأخر
+
+590
+00:49:54,230 --> 00:49:56,470
+كيف بده ينجح في المادة؟ مشكلة إذا كنت بده يفكر كيف
+
+591
+00:49:56,470 --> 00:49:58,630
+بده ينجح في المادة لأن المفروض النجاح أكمل لك
+
+592
+00:49:58,630 --> 00:50:02,370
+إيديك إلا إذا كان ده بال cash تنجح مش تاني المفروض
+
+593
+00:50:02,370 --> 00:50:05,670
+تقولي بفكر كيف أجيب علامات كاملة في المادة الأصل
+
+594
+00:50:05,670 --> 00:50:13,210
+كده طيب ورا خمس ولاد بيطعميهم الفلوس خلصت تمام؟
+
+595
+00:50:13,210 --> 00:50:18,510
+okay يعني ممكن تعمل mining بناء على المتاح بس هذا
+
+596
+00:50:18,510 --> 00:50:25,100
+مش mining هذا تخمين guessingتمام؟ ليش؟ لأن انت
+
+597
+00:50:25,100 --> 00:50:30,460
+فعليا لا تمتلك معلومات معلومات عنه لو أنت فعليا
+
+598
+00:50:30,460 --> 00:50:38,100
+كنت قريب جدا منه تمام؟ و لاجيته سرح مباشرة هتنبهه
+
+599
+00:50:38,100 --> 00:50:42,700
+فالآن أنا بدي أصل لمرحلة evaluation بدي أتأكد إن
+
+600
+00:50:42,700 --> 00:50:46,700
+هل هذا ال pattern اللي أنا سنبطه valid ولا invalid
+
+601
+00:50:46,700 --> 00:50:52,180
+طيب، الآنبدي أعمل evaluation لل knowledge أو لل ..
+
+602
+00:50:52,180 --> 00:50:56,080
+عفوا لل pattern اللي طلع عندي عشان أقدر أقيم فعلا
+
+603
+00:50:56,080 --> 00:51:00,980
+هو جداش صحيح بناء على إيش بدي أعمل evaluation يا
+
+604
+00:51:00,980 --> 00:51:06,740
+شباب فعليا زي ما قلنا سابقا بدي يكون في عندي بعض
+
+605
+00:51:06,740 --> 00:51:11,180
+ال cases الحقيقية اللي فعليا لما اجه في ثغورس قالك
+
+606
+00:51:11,180 --> 00:51:18,670
+لأي مثلث قائم الزاويةجالك هات أي مثلّف قايم إزاي
+
+607
+00:51:18,670 --> 00:51:23,370
+وطبّق عليه بالقياسات اللي هو عرضها أو بالقياسات
+
+608
+00:51:23,370 --> 00:51:27,630
+اللي أنت بتخطر على بالك بس شرطه كان قايم إزاي
+
+609
+00:51:27,630 --> 00:51:30,770
+وانتهى الأمر فهذه الـ validation هي الأساس اللي
+
+610
+00:51:30,770 --> 00:51:33,570
+إحنا بندور ال evaluation اللي إحنا بندور عليها
+
+611
+00:51:33,570 --> 00:51:38,250
+فهنا أنا بدأ أروح أدور على ال pattern تبعي هذا
+
+612
+00:51:38,250 --> 00:51:43,890
+تمام؟ وأعمله evaluation ماينساش إنه كان في التعريف
+
+613
+00:51:43,890 --> 00:51:45,490
+بقول valid يعني true
+
+614
+00:51:50,230 --> 00:51:54,170
+«Novel» «Useful» أو «Actionable» نفس المعنى
+
+615
+00:51:54,170 --> 00:51:57,870
+تقريبًا لأ «Useful» يعني بقدر أبني عليه Action و
+
+616
+00:51:57,870 --> 00:51:59,990
+«Actionable» يعني بدي أخد عليه Action يعني هو
+
+617
+00:51:59,990 --> 00:52:02,690
+البتن من هذا مفيد، مصبوط؟ نفس المعنى
+
+618
+00:52:02,690 --> 00:52:06,190
+«Understandable» إن الناس بتقدر تفهمه بالكلام اللي
+
+619
+00:52:06,190 --> 00:52:10,450
+موجود عندها آخر نقطة كانت عندها في الهرم أو عفوا
+
+620
+00:52:10,450 --> 00:52:13,150
+في الخطوات اللي هي نقطة 8 الـ Knowledge
+
+621
+00:52:13,150 --> 00:52:18,450
+Presentation «بنفعش أروح أعرض Data»أنا خلصتها لإن
+
+622
+00:52:18,450 --> 00:52:25,010
+أنا بدي أعرض معرفة زي ما جالك .. جالك
+
+623
+00:52:25,010 --> 00:52:28,690
+هاي A، هاي B، هاي C مُثلَف قائم زائد، جالك C تربيع
+
+624
+00:52:28,690 --> 00:52:34,070
+بقى تساوي A تربيع زائد B تربيع، خلصنا، هذا أفضل
+
+625
+00:52:34,070 --> 00:52:34,510
+presentation
+
+626
+00:52:37,160 --> 00:52:40,240
+لما انا بقول لو احنا قلنا لك في The Horse Gal ان
+
+627
+00:52:40,240 --> 00:52:47,080
+طول الوتر ترديع يساوي مجموع مربعات الأضلع كلام
+
+628
+00:52:47,080 --> 00:52:51,000
+صحيح لكن ممكن يطلع لي واحد فاهم خالص ويقول ليش
+
+629
+00:52:51,000 --> 00:52:56,580
+يعني أي أضلع ضلعي الزاوية القايم ضلعي الزاوية
+
+630
+00:52:56,580 --> 00:52:59,460
+القايم هذا السؤال مابدوشش او مابدوش السؤال لأنه
+
+631
+00:52:59,460 --> 00:53:01,500
+ماضالش فيه غير الضلعين هدول لإن احنا نتكلم قاعدين
+
+632
+00:53:01,500 --> 00:53:06,080
+على مثلث مظبوط ولا لأ وبالتالي لكن هيكهذا أفضل
+
+633
+00:53:06,080 --> 00:53:10,220
+presentation الكل بيفهمه .. الكل بيفهمه و ال
+
+634
+00:53:10,220 --> 00:53:13,200
+presentation .. و طول عمرنا بنتعلم إن الصورة زي ما
+
+635
+00:53:13,200 --> 00:53:16,660
+قال قبل شوية خيره من ألف كلمة فلمّا قلنا ماقدرش
+
+636
+00:53:16,660 --> 00:53:19,020
+أعرض ده تكبيرة ممكن أقل الصور بعمل visualization
+
+637
+00:53:19,020 --> 00:53:23,040
+ماقدرش أقول أعمل visualization لكل إشي لكن إذا
+
+638
+00:53:23,040 --> 00:53:27,760
+قدرت أصل لمرحلة إنه أقدر أعرض صورة فهذا بيكون عنده
+
+639
+00:53:27,760 --> 00:53:29,400
+إيش؟ أفضل presentation
+
+640
+00:53:32,320 --> 00:53:36,940
+الآن الـ data mining و في الـ business
+
+641
+00:53:36,940 --> 00:53:41,680
+intelligence فعليا أنا فيه عندى data موجودة في
+
+642
+00:53:41,680 --> 00:53:46,100
+different sources و كانت database أو websites أو
+
+643
+00:53:46,100 --> 00:53:50,820
+files كذلك ال data هذه بدون عملها pre-processing و
+
+644
+00:53:50,820 --> 00:53:56,710
+integration بعد هيك هتعمل بعض الاستكشافاتأو
+
+645
+00:53:56,710 --> 00:53:59,850
+استكشاف على الـ data اللي موجودة عندهان أعمل بعض
+
+646
+00:53:59,850 --> 00:54:04,630
+الـ summary أو الـ statistical queries وهذا الشغل
+
+647
+00:54:04,630 --> 00:54:07,810
+كله ياته تقريبًا، يعني في الأول واتنين لل database
+
+648
+00:54:07,810 --> 00:54:10,730
+administrator وال database developers اللي
+
+649
+00:54:10,730 --> 00:54:15,090
+بيشتغلوا معاها الآن ال data exploration وال data
+
+650
+00:54:15,090 --> 00:54:20,550
+mining شغل ال data analyst المفروض الآن data
+
+651
+00:54:20,550 --> 00:54:22,950
+presentation يعني أنا بتكلم على business analyst
+
+652
+00:54:22,950 --> 00:54:26,970
+لأن هو فاهم إن الناس دول إشي بيفهمهوانت بتقدّم لهم
+
+653
+00:54:26,970 --> 00:54:29,370
+الـ data أو تعرض لهم الـ knowledge باللغة اللي
+
+654
+00:54:29,370 --> 00:54:35,510
+بيفهموها في الآخر بدون عمل صناعة أو يتخذ قرار من
+
+655
+00:54:35,510 --> 00:54:41,570
+عند الـ end user يعني فعليا الـ data mining هي جزء
+
+656
+00:54:41,570 --> 00:54:48,410
+في هرم اتخاذ القرار و بتبدأ زي ما قلنا من ال raw
+
+657
+00:54:48,410 --> 00:54:55,820
+data لما يتوصل أنه أنا بيحتاج لـ that decisionتمام
+
+658
+00:54:55,820 --> 00:54:59,020
+الأمور يا شباب في الخطوات السابقة يعني كمان مرة
+
+659
+00:54:59,020 --> 00:55:05,460
+ألخصهم في عندى تمان خطوات تمان خطوات من أجل الوصول
+
+660
+00:55:05,460 --> 00:55:09,500
+إلى المعرفة باعتمادنا على ال data mining تمام
+
+661
+00:55:09,500 --> 00:55:16,740
+الأولى data cleaning data selection data
+
+662
+00:55:16,740 --> 00:55:20,900
+integration data transformation data mining
+
+663
+00:55:20,900 --> 00:55:27,740
+الخامسة مصبوطالسادسة Pattern Evaluation تمام؟
+
+664
+00:55:27,740 --> 00:55:33,420
+والسبعة Knowledge Presentation الـ Knowledge
+
+665
+00:55:33,420 --> 00:55:41,100
+Presentation إيش السابعة طيب؟ فش السابعة؟ حلو أنا
+
+666
+00:55:41,100 --> 00:55:49,480
+غلطان في العدد يعني بس سبعة ده تمام، الآن ليش ال
+
+667
+00:55:49,480 --> 00:55:53,920
+data mining لازم يكون multidisciplinary field؟مجال
+
+668
+00:55:53,920 --> 00:56:00,400
+تنقيب البيانات لازم يكون بيحتوي على علوم أخرى في
+
+669
+00:56:00,400 --> 00:56:03,960
+داخله أولًا،
+
+670
+00:56:03,960 --> 00:56:07,460
+أولًا بالذنب يتعامل مع البيانات عشان التعامل مع
+
+671
+00:56:07,460 --> 00:56:10,880
+البيانات، بمعنى أن أنا بتتكلم على database بدي
+
+672
+00:56:10,880 --> 00:56:14,920
+أحشو database وكيف ممكن أعمل integration، ولا لأ؟
+
+673
+00:56:14,920 --> 00:56:18,580
+عشان أتعامل مع البيانات و أقدر أعملها cleaning بدي
+
+674
+00:56:18,580 --> 00:56:23,060
+أكون أعرف برمجة، عشان مش معقول أنا بدي أدور علىraw
+
+675
+00:56:23,060 --> 00:56:27,600
+raw أو value value وبالتالي أنا بحاجة أن أعمل
+
+676
+00:56:27,600 --> 00:56:31,440
+برنامج هو يدور على ال missing values وياخد فيها
+
+677
+00:56:31,440 --> 00:56:35,400
+قرار يعبيها أو بدي أعمل برنامج يروح يدور لي يقول
+
+678
+00:56:35,400 --> 00:56:38,860
+لي والله هي ال noisy values في ال attribute
+
+679
+00:56:38,860 --> 00:56:43,620
+الفلاني لأن بينجوسين الشباب ال summary تبعت ال
+
+680
+00:56:43,620 --> 00:56:48,620
+query أو ال statistics هذا الكلام مابدينيش نتيجة
+
+681
+00:56:50,400 --> 00:56:58,480
+الآن فالـ Data Mining بتستخدم العديد من التوجهات
+
+682
+00:56:58,480 --> 00:57:01,880
+أو المساقات مثل الـ Machine Learning وهذه أهميتها
+
+683
+00:57:01,880 --> 00:57:05,320
+أنها بتوفر لمجموعة من الـ Smart Algorithms للتعامل
+
+684
+00:57:05,320 --> 00:57:09,420
+مع أو لاستنباط الـ Pattern الجديدة الـ Pattern
+
+685
+00:57:09,420 --> 00:57:12,520
+Recognition في عندي علوم مخصصة بس عشان يقوللي هذا
+
+686
+00:57:12,520 --> 00:57:19,200
+نمط اتعرف أن هذانمط الـ Statistics بحتاج تتعامل مع
+
+687
+00:57:19,200 --> 00:57:22,200
+الإحصاء بحتاج تتعامل مع ال database و ال
+
+688
+00:57:22,200 --> 00:57:24,480
+visualization زي ما قلنا من أجل ال presentation
+
+689
+00:57:24,480 --> 00:57:30,040
+الآن هذه العلاقات تقريبا كل العلوم يعني كل العلوم
+
+690
+00:57:30,040 --> 00:57:35,060
+عمالها بتزيد و بتدفع باتجاه علم التنقيب البيانات
+
+691
+00:57:35,060 --> 00:57:39,860
+زي ما احنا عمال لا بنحكي الآن فعليا ليش هذا
+
+692
+00:57:39,860 --> 00:57:43,160
+الكلام؟ لأن فعليا أنا عندي بيانات ضخمة جدا و ال
+
+693
+00:57:43,160 --> 00:57:48,030
+algorithm اللي بده يتعامل معاهادائما الـ Algorithm
+
+694
+00:57:48,030 --> 00:57:51,790
+يا شباب فيه evaluation و لا لأ الـ Big O تبعته في
+
+695
+00:57:51,790 --> 00:57:55,490
+ال worst case لما أنا بتكلم مع ال Algorithm ليش في
+
+696
+00:57:55,490 --> 00:57:58,210
+عندي worst case و best case؟ مش عشان ال
+
+697
+00:57:58,210 --> 00:58:00,230
+performance عشان أقدر أعمل evaluation لل
+
+698
+00:58:00,230 --> 00:58:02,950
+performance طب و هذا ال performance تبعي مرتبط
+
+699
+00:58:02,950 --> 00:58:09,590
+دائما بال N بعدد المدخلات تبعتي طب أنا بتكلم على
+
+700
+00:58:09,590 --> 00:58:13,890
+huge data بتكلم على 100 ألف record أو مليون record
+
+701
+00:58:13,890 --> 00:58:19,070
+أحيان أو يمكن أكثرأقول لك لما بتتعامل مع الصور و
+
+702
+00:58:19,070 --> 00:58:21,830
+بتكتب الـ mining في داخل الصور تخيل إن حجم الصورة
+
+703
+00:58:21,830 --> 00:58:28,110
+1024×1024 لو
+
+704
+00:58:28,110 --> 00:58:31,450
+كان في عندك 100 ألف صورة هدولة بمثل عدد الـ
+
+705
+00:58:31,450 --> 00:58:34,410
+attributes عدد ال pixels اللي موجودة لو كل pixel
+
+706
+00:58:34,410 --> 00:58:37,950
+بدها تكون عمود فهي عدد ال attribute اللي عندك فإذا
+
+707
+00:58:37,950 --> 00:58:41,490
+ماكانش ال algorithm اللي عندك scalable algorithm و
+
+708
+00:58:41,490 --> 00:58:47,090
+قادر على التعامل مع البيانات الضخمةمعناته انتش ال
+
+709
+00:58:47,090 --> 00:58:49,390
+algorithm تبعك مش هتقدر تشغل و ال performance
+
+710
+00:58:49,390 --> 00:58:55,590
+هيكون سيئ جدا في المقابل أنا الأن بدي أشتغل مع هيك
+
+711
+00:58:55,590 --> 00:58:58,030
+لازم يكون ال algorithm يكون موجود عندي زي ما قلت
+
+712
+00:58:58,030 --> 00:59:03,450
+لك ضخم ال high dimensionality of data الأن كلنا
+
+713
+00:59:03,450 --> 00:59:09,010
+بنعرف ال arrays لو أنا أجيت و قلتلك في عندي مصفوفة
+
+714
+00:59:09,010 --> 00:59:13,510
+1D و بدي أعمل لها sort
+
+715
+00:59:19,040 --> 00:59:22,720
+تقدرش ال algorithm تعمل بده و ا get؟ هان تربيع أو
+
+716
+00:59:22,720 --> 00:59:24,180
+هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان
+
+717
+00:59:24,180 --> 00:59:26,080
+لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟
+
+718
+00:59:26,080 --> 00:59:30,600
+هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان
+
+719
+00:59:30,600 --> 00:59:33,480
+تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع
+
+720
+00:59:33,480 --> 00:59:35,580
+أو هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان
+
+721
+00:59:35,580 --> 00:59:36,080
+لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟
+
+722
+00:59:36,080 --> 00:59:42,100
+هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان
+
+723
+00:59:42,100 --> 00:59:47,790
+تربيع أو هان لوب؟ هان تربيأرتب عناصرها بحيث أنه لو
+
+724
+00:59:47,790 --> 00:59:53,350
+افترضت أنه فيها تسع عناصر هنا بحيث أن العنصر هذا
+
+725
+00:59:53,350 --> 01:00:02,250
+يكون أصغر أو يساوي العنصر اللي هنا يعني بين جسين
+
+726
+01:00:02,250 --> 01:00:06,030
+عناصر المصفوفة بيكون الصف الأول أصغر من الصف
+
+727
+01:00:06,030 --> 01:00:12,190
+التاني أنت كعيب وممكن يكون أكتر، مظبوط ولا لأ؟
+
+728
+01:00:12,190 --> 01:00:21,340
+طيب، لو أنابقولك الـ 3D Array لاحظ
+
+729
+01:00:21,340 --> 01:00:27,180
+أنه كل ما أضفت بُعد جديد الـ algorithm تابعي بدي
+
+730
+01:00:27,180 --> 01:00:30,440
+يصير عليه complexity أكتر طبعا ال data اللي أنا
+
+731
+01:00:30,440 --> 01:00:32,860
+جايبها من different resources هدول ما هو كل واحد
+
+732
+01:00:32,860 --> 01:00:35,080
+ممكن في لحظة من اللحظات يشكل بُعد بالنسبة لي
+
+733
+01:00:35,080 --> 01:00:39,660
+وبالتالي الـ high dimensionality of data، تمام؟ هي
+
+734
+01:00:39,660 --> 01:00:41,300
+مشكلة بالنسبة لي طيب
+
+735
+01:00:44,690 --> 01:00:49,410
+كذلك الـ Complexity تعقيد البيانات اللي موجودة مش
+
+736
+01:00:49,410 --> 01:00:53,170
+كل البيانات Alpha Numeric احنا كلنا تعاملنا لحد
+
+737
+01:00:53,170 --> 01:00:56,890
+اللحظة مع الـ Alpha Numeric Data في ال database،
+
+738
+01:00:56,890 --> 01:01:02,370
+مصبوط؟ طب وين الصور؟ وين الـ Multimedia بشكل عام؟
+
+739
+01:01:02,370 --> 01:01:05,530
+طب هذا النوع التاني برضه بنفهم الصور Pixels طب و
+
+740
+01:01:05,530 --> 01:01:11,010
+الصوت؟ موجات؟ Okay موجات تعالي يا باشا قولي شوف
+
+741
+01:01:11,010 --> 01:01:17,390
+الـ Time Series Dataفي عند بعض البيانات تتسم بالـ
+
+742
+01:01:17,390 --> 01:01:21,650
+Series تبع للوقت، يعني التسلسل للوقت فيها أساسي
+
+743
+01:01:21,650 --> 01:01:27,650
+بالمناسبة، أنت عندك واجب نعمل فيه discussion في
+
+744
+01:01:27,650 --> 01:01:30,430
+المحاضرة الجاية الـ data اللي باللون الأزرق هاي
+
+745
+01:01:30,430 --> 01:01:36,800
+سجل عندك على الدفتر الـ Time Series DataTemporal
+
+746
+01:01:36,800 --> 01:01:41,840
+data، Sequence data والـ Special data بدي تعجبلي
+
+747
+01:01:41,840 --> 01:01:44,160
+definition لكل واحدة فيهم بداية المحاضرة الجاية
+
+748
+01:01:44,160 --> 01:01:47,300
+تمام؟
+
+749
+01:01:47,300 --> 01:01:51,440
+هذه أنواع بيانات مختلفة إشي إله علاقة بالجغرافيا،
+
+750
+01:01:51,440 --> 01:01:54,920
+إشي إله علاقة بالصوت، إشي إله علاقة بالصور، إشي
+
+751
+01:01:54,920 --> 01:01:57,860
+إله علاقة بالأسهم، إشي إله علاقة بالـ فالبيانات مش
+
+752
+01:01:57,860 --> 01:02:04,000
+زي ما أنا بتخيلها واحد و A و B و ألف و با، لأفهي
+
+753
+01:02:04,000 --> 01:02:07,240
+عندي أنواع كبيرة من البيانات وانا مقلوب مني يكون
+
+754
+01:02:07,240 --> 01:02:11,740
+عندي المقدرة على التنقيب فيها كلياتها فلازم أقدر
+
+755
+01:02:11,740 --> 01:02:14,520
+أفهم البيانات اللي موجودة عندي هنا طب عشان أقدر
+
+756
+01:02:14,520 --> 01:02:18,360
+أفهمها و أتعامل معاها معناته لازم يكون عندي معرفة
+
+757
+01:02:18,360 --> 01:02:25,800
+بالعلوم المختلفة مثال على علاقة ال statistics عفوا
+
+758
+01:02:25,800 --> 01:02:30,260
+بال data mining ال statistics هي إحصاءزود الـ Data
+
+759
+01:02:30,260 --> 01:02:33,300
+Mining والـ Machine Learning من قبلها بمجموعة من
+
+760
+01:02:33,300 --> 01:02:37,540
+العناصر مثال في عند الـ Naive Bias هي واحدة من الـ
+
+761
+01:02:37,540 --> 01:02:39,240
+Classification Methods الموجودة في الـ Machine
+
+762
+01:02:39,240 --> 01:02:44,660
+Learning وفي عند الـ Maximum Entropy عشان يحدد،
+
+763
+01:02:44,660 --> 01:02:50,480
+خدنا نقول القيم المثلة في الاحتمالات لكن هل
+
+764
+01:02:50,480 --> 01:02:54,740
+الإحصائي بتخدمني في كل مكان؟ لأ، الآن الإحصائي
+
+765
+01:02:54,740 --> 01:02:58,860
+بتشتغل مع Methods
+
+766
+01:02:59,900 --> 01:03:02,660
+والـ method معروف أن تتعملت معاها في الـ database
+
+767
+01:03:02,660 --> 01:03:07,040
+لو أنا سألت السؤال التالي هل بقدر أطبق كل الـ
+
+768
+01:03:07,040 --> 01:03:10,420
+method تبعة الإحصاء على كل الـ method يحصل؟ سؤالي،
+
+769
+01:03:10,420 --> 01:03:14,460
+هل الطرق الإحصائية أو الدوال الإحصائية اللي
+
+770
+01:03:14,460 --> 01:03:21,240
+بنعرفها تطبق على كل أنواع البيانات؟ لو أنا قلتلك
+
+771
+01:03:21,240 --> 01:03:24,900
+على سبيل المثال الـ maximum لو أنا روحت قلتلك الـ
+
+772
+01:03:24,900 --> 01:03:29,800
+maximum nameSelect the maximum name from the
+
+773
+01:03:29,800 --> 01:03:35,780
+student table لأ بيقدر برجعلك بناء على إيش؟ على ال
+
+774
+01:03:35,780 --> 01:03:39,200
+length تمام؟ وعلى ال value تبعت الكاركتر لإنه فيه
+
+775
+01:03:39,200 --> 01:03:42,120
+مقارنة لما انت عارف ال ask code تبعتهم لكن شو
+
+776
+01:03:42,120 --> 01:03:47,200
+الفايدة منها؟ حطها في مقارنة مع ال maximum salary
+
+777
+01:03:47,200 --> 01:03:53,060
+هتلاقي نفسك بكل بساطة هتقوللي إن والله ال
+
+778
+01:03:53,060 --> 01:03:57,360
+statistics فقط بتشتغل معالـ Numeric Data ومالهاش
+
+779
+01:03:57,360 --> 01:04:02,080
+دخل في الشغلات الدانية Minimum، Maximum،
+
+780
+01:04:02,080 --> 01:04:07,780
+Summation، Average، الـ Standard Deviation كل الـ
+
+781
+01:04:07,780 --> 01:04:11,440
+Statistical Method بتشتغل على أرقام، بتتعاملش معها
+
+782
+01:04:11,440 --> 01:04:14,720
+الوحدة، الدالة الوحيدة اللي ممكن يكونها علاقة
+
+783
+01:04:14,720 --> 01:04:18,460
+بالشغلات الدانية اللي هي ال count، العدد ومش دايما
+
+784
+01:04:18,460 --> 01:04:19,920
+العدد هي المقموبة بتكون عندك
+
+785
+01:04:23,040 --> 01:04:27,920
+التخصص أو ال course التاني أو العلمي التاني اللي
+
+786
+01:04:27,920 --> 01:04:32,440
+ممكن يخدمني اللي هو ال machine learning ال machine
+
+787
+01:04:32,440 --> 01:04:38,300
+learning هو عبارة عن علم مختص بتقوير method من أجل
+
+788
+01:04:38,300 --> 01:04:43,220
+نخل الألة أو ال computer أو البرنامج يتعلم من ال
+
+789
+01:04:43,220 --> 01:04:47,700
+data اللي موجودة يعني هو فعليا ال machine learning
+
+790
+01:04:47,700 --> 01:04:51,260
+عنده method عندها القدرة على قراءة البيانات و
+
+791
+01:04:51,260 --> 01:04:55,910
+استنباطالمعلومات، المعرفة من الـ data وهذا اللي
+
+792
+01:04:55,910 --> 01:04:59,230
+أنا بديها في الـ mining بدي أصل للمعرفة اللي علمت
+
+793
+01:04:59,230 --> 01:05:04,630
+ال machine learning فال
+
+794
+01:05:04,630 --> 01:05:09,510
+machine learning هنستخدمهان ك tool مش كمؤورين
+
+795
+01:05:09,510 --> 01:05:12,090
+لميثود في ال machine learning هستخدم ال machine
+
+796
+01:05:12,090 --> 01:05:15,370
+learning method في ال knowledge extraction تماما
+
+797
+01:05:15,370 --> 01:05:18,890
+انت لو بقتنقل عن الدهب مش هتروح تشتري عمل مصنع
+
+798
+01:05:18,890 --> 01:05:23,220
+جرفاتهتروح تتواصل مع كاتر بيلر في ألمانيا و تقولهم
+
+799
+01:05:23,220 --> 01:05:26,340
+والله أنا بدي جرفات بالمواصفات الفلانية أو حفارات
+
+800
+01:05:26,340 --> 01:05:29,200
+بالمواصفات الفلانية، ولا لا؟ ولا هتصنعهم أنت؟
+
+801
+01:05:29,200 --> 01:05:32,000
+الشغل التاني أن الـ machine learning بيعتمد في
+
+802
+01:05:32,000 --> 01:05:36,120
+بناء الـ knowledge على ال samples يعني لما بروح
+
+803
+01:05:36,120 --> 01:05:39,020
+بالـ method، بقول والله أنا بني ال decision ايه؟
+
+804
+01:05:39,020 --> 01:05:43,580
+ببنيها على ال sampleممكن الـ Sample في لحظة لحظات
+
+805
+01:05:43,580 --> 01:05:46,740
+تكون كل الـ Data لكن بالنسبة لي أن الـ Knowledge
+
+806
+01:05:46,740 --> 01:05:50,480
+لازم تكون على كل الـ Data اللي موجودة أو موجودة في
+
+807
+01:05:50,480 --> 01:05:54,380
+كل الـ Data اللي موجودة عندها الـ Database حدث ولا
+
+808
+01:05:54,380 --> 01:05:57,780
+حرج لأنه هي الأساس لكل حاجة لو لا وجود قواعد
+
+809
+01:05:57,780 --> 01:06:02,640
+البيانات ما تضخمت البيانات بالحجم اللي موجود عندها
+
+810
+01:06:02,640 --> 01:06:08,540
+الـ Search Techniques الآن المعلومات يا جماعة
+
+811
+01:06:08,540 --> 01:06:13,880
+الخير أو الـ Knowledge دائما مرتبطةبالوقت اللي هي
+
+812
+01:06:13,880 --> 01:06:17,940
+بتظهر فيه وقت إيش أنت بتقدر تستخرج knowledge بشكل
+
+813
+01:06:17,940 --> 01:06:22,160
+سريع في الحالة .. مش هذا .. مش هذا الخبير اللي
+
+814
+01:06:22,160 --> 01:06:25,000
+بقدر يستهرج على المعرفة تبعته ويسخرها حسب ال
+
+815
+01:06:25,000 --> 01:06:28,720
+situation اللي هو موجود فيها تمام، تخيل، تخيل، و
+
+816
+01:06:28,720 --> 01:06:32,960
+بدي تقوللي الفرق ما بين عالم في ال biology اليوم،
+
+817
+01:06:32,960 --> 01:06:37,760
+اليوم، بقوللي جماعة الخير أنا قدرت أوصل ل .. لقاح
+
+818
+01:06:37,760 --> 01:06:45,420
+لل Corona تمام؟وهذا دقيق أو نسبة نجاحه 80% على
+
+819
+01:06:45,420 --> 01:06:52,480
+الناس وواحد بعد سنة من اليوم قال والله أنا جبت أو
+
+820
+01:06:52,480 --> 01:06:55,860
+فيه .. الآن بقدّم لقاح للـ Corona لمارس Corona
+
+821
+01:06:55,860 --> 01:07:02,760
+تمام؟ بنسبة 95% من الدقة مين أهم بالله عليك؟ الآن
+
+822
+01:07:02,760 --> 01:07:06,860
+وبالتالي أنا بحاجة أن يكون ال search techniques
+
+823
+01:07:06,860 --> 01:07:11,340
+تبعتيسريعة، لأنه مابديش أبقى لي طول العمر و أنا
+
+824
+01:07:11,340 --> 01:07:14,820
+بستنى، ليش؟ لأنه كمان بينقصين الـtime is money
+
+825
+01:07:14,820 --> 01:07:20,570
+الوقت هذا اللي بيبذل جهودأو الوقت اللي بيُقضى في
+
+826
+01:07:20,570 --> 01:07:23,710
+بذل الجهد مُقلف بالنسبة إلنا وبالتالي أنا بدي
+
+827
+01:07:23,710 --> 01:07:28,090
+Searching techniques فعلا تبحث عن المعرفة وتمثّل
+
+828
+01:07:28,090 --> 01:07:32,010
+إياها وتقدر تعملها maintenance بشكل سريع جدا وبهيك
+
+829
+01:07:32,010 --> 01:07:37,550
+الذكاء الاصطناعي لازم يكون موجود في ال data mining
+
+830
+01:07:37,550 --> 01:07:39,530
+طبعا لما نتكلم عن الذكاء الاصطناعي ال machine
+
+831
+01:07:39,530 --> 01:07:44,730
+learning بالمناسبة جزء من الذكاء الاصطناعي فيه ال
+
+832
+01:07:44,730 --> 01:07:49,840
+visualization زي ما قلنا أهميتها بتكمن فيهصياغة أو
+
+833
+01:07:49,840 --> 01:07:55,320
+عرض الـ knowledge أو المعرفة للناس أو لأصحاب
+
+834
+01:07:55,320 --> 01:08:00,440
+القرار اللي هياخد عليها action وبهيك بدي انا اوقف
+
+835
+01:08:00,440 --> 01:08:03,480
+قضيتنا اليوم عند ال data mining task
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..1bdff7a9a6c07547fd1124ef5a3b0bc2e967445d
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.json
@@ -0,0 +1 @@
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البيانات زي ما احنا عمال لا بنحكي الآن فعليا ليش هذا الكلام؟ لأن فعليا أنا عندي بيانات ضخمة جدا و ال algorithm اللي بده يتعامل معاها", "tokens": [1863, 2304, 9566, 2423, 39184, 49226, 4724, 33753, 26108, 6055, 2655, 3615, 10943, 1211, 20449, 33688, 5016, 9381, 16606, 4724, 33753, 26108, 6055, 2655, 3615, 10943, 1211, 20449, 2423, 8149, 4032, 2423, 25801, 30767, 1829, 19446, 12174, 1211, 8315, 9154, 5551, 7435, 1211, 2423, 5860, 6024, 48506, 29538, 18863, 15040, 4587, 9307, 6055, 4587, 16572, 3555, 995, 28242, 18863, 1211, 20498, 37495, 22653, 28242, 18863, 1211, 20498, 6225, 2304, 6027, 11296, 39894, 11622, 25708, 4032, 39894, 3215, 5172, 3615, 4724, 9307, 7435, 40294, 11203, 2304, 16712, 1863, 38436, 3555, 29739, 1829, 7649, 9307, 30767, 1829, 19446, 1975, 5016, 8315, 6225, 2304, 6027, 20193, 44945, 5016, 4117, 1829, 6024, 48506, 6156, 3615, 20292, 995, 32239, 8592, 23758, 2423, 28820, 10943, 22807, 5296, 33456, 6156, 3615, 20292, 995, 41850, 18871, 16254, 4724, 1829, 7649, 9307, 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"word": " بالنسبة", "probability": 0.98583984375}, {"start": 4042.03, "end": 4042.31, "word": " إلنا", "probability": 0.6944986979166666}, {"start": 4042.31, "end": 4043.19, "word": " وبالتالي", "probability": 0.92822265625}, {"start": 4043.19, "end": 4043.35, "word": " أنا", "probability": 0.86328125}, {"start": 4043.35, "end": 4043.71, "word": " بدي", "probability": 0.809326171875}, {"start": 4043.71, "end": 4044.69, "word": " Searching", "probability": 0.663330078125}, {"start": 4044.69, "end": 4045.21, "word": " techniques", "probability": 0.69140625}, {"start": 4045.21, "end": 4045.53, "word": " فعلا", "probability": 0.8668619791666666}, {"start": 4045.53, "end": 4046.15, "word": " تبحث", "probability": 0.9734700520833334}, {"start": 4046.15, "end": 4046.41, "word": " عن", "probability": 0.98779296875}, {"start": 4046.41, "end": 4046.97, "word": " المعرفة", "probability": 0.9945068359375}, {"start": 4046.97, "end": 4048.09, "word": " وتمثّل", "probability": 0.76103515625}, {"start": 4048.09, "end": 4048.63, "word": " إياها", "probability": 0.8201497395833334}, {"start": 4048.63, "end": 4049.03, "word": " وتقدر", "probability": 0.8291015625}, {"start": 4049.03, "end": 4049.41, "word": " تعملها", "probability": 0.986083984375}, {"start": 4049.41, "end": 4049.87, "word": " maintenance", "probability": 0.490234375}, {"start": 4049.87, "end": 4050.67, "word": " بشكل", "probability": 0.9814453125}, {"start": 4050.67, "end": 4051.05, "word": " سريع", "probability": 0.9900716145833334}, {"start": 4051.05, "end": 4051.41, "word": " جدا", "probability": 0.9921875}, {"start": 4051.41, "end": 4052.01, "word": " وبهيك", "probability": 0.7626953125}, {"start": 4052.01, "end": 4052.37, "word": " الذكاء", "probability": 0.9947916666666666}, {"start": 4052.37, "end": 4053.01, "word": " الاصطناعي", "probability": 0.8870849609375}, {"start": 4053.01, "end": 4053.83, "word": " لازم", "probability": 0.98828125}, {"start": 4053.83, "end": 4054.23, "word": " يكون", 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"word": " ال", "probability": 0.7099609375}, {"start": 4059.37, "end": 4059.53, "word": " machine", "probability": 0.8447265625}, {"start": 4059.53, "end": 4059.85, "word": " learning", "probability": 0.9287109375}, {"start": 4059.85, "end": 4060.65, "word": " بالمناسبة", "probability": 0.9859375}, {"start": 4060.65, "end": 4061.25, "word": " جزء", "probability": 0.9959309895833334}, {"start": 4061.25, "end": 4061.55, "word": " من", "probability": 0.994140625}, {"start": 4061.55, "end": 4063.61, "word": " الذكاء", "probability": 0.9933268229166666}, {"start": 4063.61, "end": 4064.09, "word": " الاصطناعي", "probability": 0.9566243489583334}, {"start": 4064.09, "end": 4064.33, "word": " فيه", "probability": 0.632568359375}, {"start": 4064.33, "end": 4064.73, "word": " ال", "probability": 0.9619140625}, {"start": 4064.73, "end": 4065.25, "word": " visualization", "probability": 0.6494140625}, {"start": 4065.25, "end": 4065.71, "word": " زي", "probability": 0.9677734375}, {"start": 4065.71, "end": 4065.79, "word": " ما", "probability": 0.98681640625}, {"start": 4065.79, "end": 4066.01, "word": " قلنا", "probability": 0.9150390625}, {"start": 4066.01, "end": 4066.65, "word": " أهميتها", "probability": 0.9814453125}, {"start": 4066.65, "end": 4067.17, "word": " بتكمن", "probability": 0.8396809895833334}, {"start": 4067.17, "end": 4067.57, "word": " فيه", "probability": 0.98583984375}], "temperature": 1.0}, {"id": 148, "seek": 408348, "start": 4068.58, "end": 4083.48, "text": "صياغة أو عرض الـ knowledge أو المعرفة للناس أو لأصحاب القرار اللي هياخد عليها action وبهيك بدي انا اوقف قضيتنا اليوم عند ال data mining task", "tokens": [9381, 1829, 5718, 118, 3660, 34051, 6225, 43042, 2423, 39184, 3601, 34051, 9673, 3615, 28480, 3660, 24976, 8315, 3794, 34051, 5296, 10721, 9381, 5016, 16758, 25062, 2288, 9640, 13672, 1829, 39896, 47283, 3215, 25894, 11296, 3069, 46599, 3224, 1829, 4117, 4724, 16254, 1975, 8315, 1975, 30543, 5172, 12174, 11242, 36081, 8315, 45595, 20498, 43242, 2423, 1412, 15512, 5633], "avg_logprob": -0.18683793080055108, "compression_ratio": 1.3950617283950617, "no_speech_prob": 1.9073486328125e-06, "words": [{"start": 4068.58, "end": 4069.42, "word": "صياغة", "probability": 0.801904296875}, {"start": 4069.42, "end": 4069.84, "word": " أو", "probability": 0.90380859375}, {"start": 4069.84, "end": 4070.2, "word": " عرض", "probability": 0.98876953125}, {"start": 4070.2, "end": 4070.42, "word": " الـ", "probability": 0.906005859375}, {"start": 4070.42, "end": 4070.64, "word": " knowledge", "probability": 0.55810546875}, {"start": 4070.64, "end": 4070.82, "word": " أو", "probability": 0.92529296875}, {"start": 4070.82, "end": 4071.28, "word": " المعرفة", "probability": 0.9913330078125}, {"start": 4071.28, "end": 4071.88, "word": " للناس", "probability": 0.98828125}, {"start": 4071.88, "end": 4072.58, "word": " أو", "probability": 0.77685546875}, {"start": 4072.58, "end": 4075.32, "word": " لأصحاب", "probability": 0.9486328125}, {"start": 4075.32, "end": 4075.82, "word": " القرار", "probability": 0.9931640625}, {"start": 4075.82, "end": 4075.94, "word": " اللي", "probability": 0.9072265625}, {"start": 4075.94, "end": 4076.32, "word": " هياخد", "probability": 0.8543294270833334}, {"start": 4076.32, "end": 4076.78, "word": " عليها", "probability": 0.78955078125}, {"start": 4076.78, "end": 4077.6, "word": " action", "probability": 0.80859375}, {"start": 4077.6, "end": 4079.42, "word": " وبهيك", "probability": 0.73046875}, {"start": 4079.42, "end": 4079.96, "word": " بدي", "probability": 0.738037109375}, {"start": 4079.96, "end": 4080.12, "word": " انا", "probability": 0.60693359375}, {"start": 4080.12, "end": 4080.44, "word": " اوقف", "probability": 0.7579752604166666}, {"start": 4080.44, "end": 4080.86, "word": " قضيتنا", "probability": 0.74444580078125}, {"start": 4080.86, "end": 4081.24, "word": " اليوم", "probability": 0.972900390625}, {"start": 4081.24, "end": 4082.18, "word": " عند", "probability": 0.94287109375}, {"start": 4082.18, "end": 4082.48, "word": " ال", "probability": 0.88232421875}, {"start": 4082.48, "end": 4082.66, "word": " data", "probability": 0.72265625}, {"start": 4082.66, "end": 4083.0, "word": " mining", "probability": 0.97509765625}, {"start": 4083.0, "end": 4083.48, "word": " task", "probability": 0.8564453125}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4084.0881875, "duration_after_vad": 3903.6012499999774}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..ee2290ef597bd3f1c095731cef924cfa49ef0157
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+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/dqD23L8tlEA_raw.srt
@@ -0,0 +1,3344 @@
+1
+00:00:05,260 --> 00:00:07,360
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,360 --> 00:00:11,680
+أهلا وسهلا بالشباب اليوم إن شاء الله فعليا هندخل
+
+3
+00:00:11,680 --> 00:00:17,320
+في ال introduction ل data mining و هنتكون في بعض
+
+4
+00:00:17,320 --> 00:00:20,180
+المعلومة يعني slide أو تنتين من المحاضرة الماضية
+
+5
+00:00:20,180 --> 00:00:24,450
+لكن بدي حد من اللي كانوا موجودينالمرة الماضية
+
+6
+00:00:24,450 --> 00:00:27,430
+تذكرني شو يعني .. شو data mining؟ شو يعني تنقيب
+
+7
+00:00:27,430 --> 00:00:32,070
+البيانات؟ كنت المرة الماضية؟ ها .. ها في ناس من
+
+8
+00:00:32,070 --> 00:00:34,410
+الناس اللي ماكنتش المرة الماضية يا رامي و جاي
+
+9
+00:00:34,410 --> 00:00:37,410
+حاميانة و بدها تعرفلنا ال data mining عرف data
+
+10
+00:00:37,410 --> 00:00:42,410
+mining رامي هو استخراج information من ال data أو
+
+11
+00:00:42,410 --> 00:00:45,270
+استخراج أي knowledge من ال data استخراج knowledge
+
+12
+00:00:45,270 --> 00:00:48,610
+ولا information information information ايوة إيش
+
+13
+00:00:48,610 --> 00:00:51,110
+كلمة بتعرفها أنت؟ نفس ال issue نفس ال issue
+
+14
+00:00:57,750 --> 00:01:03,410
+استخراج non implicit data that's non trivial and
+
+15
+00:01:03,410 --> 00:01:09,630
+new مظبوط، كيف بقى تقول؟ بس مش data ولا
+
+16
+00:01:09,630 --> 00:01:12,830
+information knowledge احنا قولنا data mining
+
+17
+00:01:12,830 --> 00:01:15,850
+equivalent to knowledge extraction انا بدور على
+
+18
+00:01:15,850 --> 00:01:17,470
+معرفة طيب
+
+19
+00:01:20,540 --> 00:01:24,860
+الـ outline تبع المحاضرة هذه إن شاء الله لو اللي
+
+20
+00:01:24,860 --> 00:01:28,780
+بيخلص فيها حنجف بإذن الله اللي حنتكلم على ال
+
+21
+00:01:28,780 --> 00:01:31,820
+definition تبع ال data mining بعد هيك ننتقل ل
+
+22
+00:01:31,820 --> 00:01:35,440
+knowledge discovery process وراها هنتكلم على ال
+
+23
+00:01:35,440 --> 00:01:38,940
+data mining as a multidisciplinary discipline أو
+
+24
+00:01:38,940 --> 00:01:42,340
+field واش ال tools مع نهاية الشبتر اللي هنتكلم
+
+25
+00:01:42,340 --> 00:01:48,580
+عليها طبعافي عندنا هرم المعرفة أو هرم البيانات
+
+26
+00:01:48,580 --> 00:01:51,780
+المعروف طبعاً كنا دردشنا علي المحاضرة الماضية لأنه
+
+27
+00:01:51,780 --> 00:01:54,120
+على ما يبدو فيه أن بعض الناس ماكنتش موجودة على
+
+28
+00:01:54,120 --> 00:01:59,160
+السريع، احنا عادة عندنا الـ Data واحنا اسم المساق
+
+29
+00:01:59,160 --> 00:02:04,240
+تبعنا Data Mining، لاحظين Data Mining، Database،
+
+30
+00:02:04,240 --> 00:02:10,400
+إيش فيه كمان Data؟ Data Structure، كمان واحدةdata
+
+31
+00:02:10,400 --> 00:02:14,060
+science، data analysis كل شيء بتركز على ال data
+
+32
+00:02:14,060 --> 00:02:18,020
+لأنه فعليا هي ال raw material تبعتك زي ما
+
+33
+00:02:18,020 --> 00:02:22,080
+المناقبين عن الذهب و المعادن بدوروا على التربة أنت
+
+34
+00:02:22,080 --> 00:02:26,420
+التربة تبعتك وين؟ ال data فلما احنا من الآن عندنا
+
+35
+00:02:26,420 --> 00:02:32,320
+ال data متوفرة ال data هذه في سياق معين أو لو انو
+
+36
+00:02:32,320 --> 00:02:35,680
+وضعت فيه سياق صحيح بتصير information
+
+37
+00:02:38,570 --> 00:02:43,850
+بتصير معلومة المعلومة هذه لو حكمتها قوانين بتصير
+
+38
+00:02:43,850 --> 00:02:49,730
+معرفة أو المعلومة هذه لو ضفنا لها قوانين بتصير
+
+39
+00:02:49,730 --> 00:02:54,710
+معرفة تماما لما انت بتيجي تعرف ان عملية الضرب زي
+
+40
+00:02:54,710 --> 00:02:59,730
+ما اتعلمت سابقا هي عبارة عن عملية جمع متكرر واجي
+
+41
+00:02:59,730 --> 00:03:08,610
+اقولك هان 13 في 7أسوأ شيء، على أسوأ الظروف، لو انت
+
+42
+00:03:08,610 --> 00:03:13,310
+مش قادر تضرب، إيش هتروح تساوي؟ هتجمع الـ13 سبع
+
+43
+00:03:13,310 --> 00:03:16,210
+مرات، بحيث إنه بناء على الـknowledge اللي أصبحت
+
+44
+00:03:16,210 --> 00:03:20,830
+موجودة عندك أو الـinformation اللي تكونتها الـrule
+
+45
+00:03:20,830 --> 00:03:25,310
+ومن ثم أصبحت knowledge وزي ما قلنا المرة الماضية،
+
+46
+00:03:25,310 --> 00:03:29,290
+الـknowledge هاي، لو كانت فيها experience، خبرة،
+
+47
+00:03:29,290 --> 00:03:34,470
+تمام، بتصيرwisdom والحكمة بتقتضي إنه أيكون الإنسان
+
+48
+00:03:34,470 --> 00:03:39,870
+هذا قادر على الاتخاذ القرار والإجراء الصحيح في
+
+49
+00:03:39,870 --> 00:03:45,390
+الوقت المناسب لتحقيق أفضل ما يصبو إليها أو ما يرنو
+
+50
+00:03:45,390 --> 00:03:48,930
+إليها و لا لا الآن بيقولك فلان حكيم، شو يعني حكيم؟
+
+51
+00:03:48,930 --> 00:03:56,010
+مش ممرض عنده حكمة، يعني رأيه متزن، دائما بتحس إنه
+
+52
+00:03:56,010 --> 00:04:00,400
+صواب وطبعا الحكمة ما بتصير إلا غير من خلالخبرة
+
+53
+00:04:00,400 --> 00:04:06,840
+متراكمة مع معرفة قديمة تمام what is data mining
+
+54
+00:04:06,840 --> 00:04:10,620
+data mining is equivalent to knowledge discovery
+
+55
+00:04:10,620 --> 00:04:14,440
+استخراج المعرفة من البيانات استخراج المعرفة من
+
+56
+00:04:14,440 --> 00:04:19,880
+البيانات عرفنا ال data mining is extraction of
+
+57
+00:04:19,880 --> 00:04:25,560
+interesting patterns extraction of interesting
+
+58
+00:04:25,560 --> 00:04:27,940
+patterns مفهوم interesting
+
+59
+00:04:31,670 --> 00:04:36,790
+إنه Nano-trivial مش تقليدي مش شغلة عادية Implest
+
+60
+00:04:36,790 --> 00:04:42,790
+موجود ضمنيا في البيانات مش أنا بدي أركبه أو بدي
+
+61
+00:04:42,790 --> 00:04:47,850
+أختلقه لأ هو موجود بس أنا يعني الآن في لؤ لؤ
+
+62
+00:04:47,850 --> 00:04:54,390
+بيستخرجوه من البحار وفي لؤ لؤ بيصنعوه والتنين زي
+
+63
+00:04:54,390 --> 00:04:58,990
+بعض تقريبا في الجمال لكن تبقى القيمةللقلق طبيعي
+
+64
+00:04:58,990 --> 00:05:06,290
+أكبر من .. عن الصناعي previously unknown سابقًا
+
+65
+00:05:06,290 --> 00:05:10,890
+ماحدش بيعرف المعرفة هذه يعني الآن لما في ثغورس
+
+66
+00:05:10,890 --> 00:05:15,770
+اتكلم في جدوق
+
+67
+00:05:15,770 --> 00:05:21,430
+المثلث قائم الزاوية قالوا إن قول الوتر تربية يساوي
+
+68
+00:05:21,430 --> 00:05:27,230
+مجموع مربع الضلعين أو مجموع مربعات الضلعين بصبت؟
+
+69
+00:05:27,630 --> 00:05:33,510
+الآن لو كان في حد قبله جاء أو موجود النظرية هذه
+
+70
+00:05:33,510 --> 00:05:37,930
+كان مسموهاش Pythagoras نظرية Pythagoras و لا شو
+
+71
+00:05:37,930 --> 00:05:42,410
+رايكوا فبالتالي لازم تكون المعرفة هذه previously
+
+72
+00:05:42,410 --> 00:05:46,550
+أو ال pattern هذا previously unknown potentially
+
+73
+00:05:46,550 --> 00:05:51,130
+useful لازم يكون مفيد للناس ممكن أشوف أتكلم أنا في
+
+74
+00:05:51,130 --> 00:05:58,230
+عالم ما لا يخص الناس ما يقدمش فائدة أو معرفةحقيقية
+
+75
+00:05:58,230 --> 00:06:04,430
+لهم ال pattern هذا موجود في داخل huge amount of
+
+76
+00:06:04,430 --> 00:06:11,050
+data تعريف آخر بسيط مرادف للتعريف السابق the non
+
+77
+00:06:11,050 --> 00:06:15,290
+-trivial process هي العملية الغير تقليدية غير
+
+78
+00:06:15,290 --> 00:06:19,290
+تقليدية دلالة يعني مش كل الناس هتقوم فيها of
+
+79
+00:06:19,290 --> 00:06:25,670
+identifying لتعريفvalid صحيح وهذا الـ definition
+
+80
+00:06:25,670 --> 00:06:29,630
+ماكانش موجود سابقا أو كانت تكافؤه كلمة implicit
+
+81
+00:06:29,630 --> 00:06:33,770
+يعني هو موجود ضمن واقع موجود فهي مفهوم ال valid
+
+82
+00:06:33,770 --> 00:06:41,130
+novel previously unknown potentially useful and
+
+83
+00:06:41,130 --> 00:06:44,890
+ultimately understandable لازم يكون مفهوم عشان
+
+84
+00:06:44,890 --> 00:06:50,510
+الناس اللي بتاخد عليه action تقدر تفهم إيش اللي
+
+85
+00:06:50,510 --> 00:06:55,530
+إنت استخرجتهطبعا كان واضح في التعريفين إنهم متفقين
+
+86
+00:06:55,530 --> 00:07:02,450
+على كلمة better better
+
+87
+00:07:02,450 --> 00:07:05,770
+كله موجود potentially useful, implicit و valid
+
+88
+00:07:05,770 --> 00:07:10,490
+يعني أضمن حقيقي موجود يعني مش fake novel
+
+89
+00:07:10,490 --> 00:07:14,590
+previously unknown نفس المعنى مافرجتش كتير الآن ال
+
+90
+00:07:14,590 --> 00:07:17,750
+better هو عبارة عن arrangement
+
+91
+00:07:22,600 --> 00:07:26,240
+ترتيب معين وبيتكرر، ظهور معين وبيتكرر عشان الصير
+
+92
+00:07:26,240 --> 00:07:31,680
+أقول هذا نمط لما باجي بقول لجماعة الخير فلان نمط
+
+93
+00:07:31,680 --> 00:07:35,460
+واحد روتيني
+
+94
+00:07:35,460 --> 00:07:40,600
+بيجي بنقول والله المحاضر نمط واحد اتكلم على نفس
+
+95
+00:07:40,600 --> 00:07:46,060
+الموجة من الصوت لا بيغير ولا بيبدل هذا better نمط
+
+96
+00:07:46,060 --> 00:07:51,960
+بنقول والله فلان غير متوقعلا في الكلمات ولا في
+
+97
+00:07:51,960 --> 00:07:57,500
+الأفعال ليش؟ لأنه فعلياً مالوش نمط ثابت أنت تقدر
+
+98
+00:07:57,500 --> 00:08:00,800
+تحكم عليه من خلاله فبالتالي ال pattern لازم يكون
+
+99
+00:08:00,800 --> 00:08:05,180
+فيه specific arrangement شغلة معينة و الشغلة هذه
+
+100
+00:08:05,180 --> 00:08:09,740
+عاملها إيش بتتكرر بدون التكرار مش هصير pattern مش
+
+101
+00:08:09,740 --> 00:08:14,040
+هصير نمط مثلا بقولك الموظف الفلاني نمطه بيطلع
+
+102
+00:08:14,040 --> 00:08:19,600
+الساعة تمانية بركب سيارته مثلا تمانية و نص بيكونفي
+
+103
+00:08:19,600 --> 00:08:26,440
+مكان عمله بعد هيك مروح مدخل البيت مابيطلعش pattern
+
+104
+00:08:26,440 --> 00:08:33,320
+valid زي ما قلنا ان هذا لازم يكون discovered او ال
+
+105
+00:08:33,320 --> 00:08:38,060
+pattern هذا لازم يكون حقيقي مش fake ومش بس هيك لو
+
+106
+00:08:38,060 --> 00:08:44,880
+انا روحت عرضت عليه new instance او new item لازم
+
+107
+00:08:44,880 --> 00:08:50,110
+يكون دقيقلحد مستوى معين الدقة بقولش 100% ممكن 85
+
+108
+00:08:50,110 --> 00:08:53,570
+تكون كافية بالنسبة لي ممكن ال 70 تكون كافية لي
+
+109
+00:08:53,570 --> 00:09:00,170
+أحيانا novel يعني
+
+110
+00:09:00,170 --> 00:09:04,330
+ماحدش بيعرفه سابقا زي ما قلنا سابقا actionable
+
+111
+00:09:04,330 --> 00:09:10,370
+بيترتب عليه action مهم للناس و understandable عشان
+
+112
+00:09:10,370 --> 00:09:18,100
+الناس تستفيد منهتعالى نشوف المثال اللى موجود
+
+113
+00:09:18,100 --> 00:09:22,080
+قدامنا على اللوح بالمثال اللى موجود قدامنا على
+
+114
+00:09:22,080 --> 00:09:25,380
+اللوح افترضوا ان انا فيه عندى data set مكوّنة من
+
+115
+00:09:25,380 --> 00:09:31,180
+خمس صفوف و تلت أعمدة ال shape و ال color و ال
+
+116
+00:09:31,180 --> 00:09:37,760
+weight shape و color و weight بدي أديكي دقيقة انت
+
+117
+00:09:37,760 --> 00:09:43,100
+و جارك اللى في جنبك اتحاول تستنبئولي two patterns
+
+118
+00:09:45,020 --> 00:09:53,980
+من الـ data هاي من ال data set أنت
+
+119
+00:09:53,980 --> 00:09:57,100
+و جارك أنت و جارك على السريع عشان نختار و نحاول
+
+120
+00:09:57,100 --> 00:09:59,940
+نكتب على اللوح أيوة اعتبرها أول نشاط جماعي في
+
+121
+00:09:59,940 --> 00:10:10,980
+الفصل لسه two patterns بديش واحد بدي اتنين هي
+
+122
+00:10:10,980 --> 00:10:13,020
+في ناس خلصت شغل حصلت على two patterns
+
+123
+00:10:20,100 --> 00:10:24,560
+أه طيب خلصت .. اتفرض إنها خلصت دقيقة و ضايل فيها
+
+124
+00:10:24,560 --> 00:10:29,800
+شوية كفاية نبدأ من الآخر خالص أيوة إيش أول better؟
+
+125
+00:10:29,800 --> 00:10:36,460
+مش أنت .. لأ عم مش عبدالله لإنت أيوة أيوة لو كان
+
+126
+00:10:36,460 --> 00:10:47,170
+if shape equal box then color equalRed يعني بكل
+
+127
+00:10:47,170 --> 00:10:52,970
+بساطة طيب
+
+128
+00:10:52,970 --> 00:10:55,670
+شوية انتوا ليش جمعتوا و لا بيكونوا تجمعوني أنا لا
+
+129
+00:10:55,670 --> 00:10:59,210
+يا جماعة للهداوة احنا قولنا with some degree of
+
+130
+00:10:59,210 --> 00:11:06,190
+certainty ماقولاش 100% وبالتالي كلامه صح تمام؟
+
+131
+00:11:06,190 --> 00:11:12,090
+الآن شوية بس هذا ممكن .. هذا ممكن انا اكتبهأكتبوا
+
+132
+00:11:12,090 --> 00:11:16,190
+F within أو ممكن أقوله بكل بساطة بلغة أسهل من
+
+133
+00:11:16,190 --> 00:11:21,430
+الهكمة كتير أي شغلة حمرة .. أي .. أي صندوق أحمر أو
+
+134
+00:11:21,430 --> 00:11:26,470
+كل الصناديق حمرة هي pattern فانت المفروض لما بدك
+
+135
+00:11:26,470 --> 00:11:31,830
+تصيغ ال pattern تصيغه بنمط يكون understandable
+
+136
+00:11:31,830 --> 00:11:35,790
+عشان نقدر الناس تفهم إيش اللي بتسوي نعم، مين كان
+
+137
+00:11:35,790 --> 00:11:40,390
+بتتكلم هنا؟ لأ، سكبته خلاص؟ أيوة ورا، الأخر
+
+138
+00:11:44,460 --> 00:11:57,480
+اها if ال color equal blue then ال weight equal
+
+139
+00:11:57,480 --> 00:12:02,440
+400 غيره
+
+140
+00:12:02,440 --> 00:12:07,860
+يا
+
+141
+00:12:07,860 --> 00:12:11,740
+أبو حميد أبو
+
+142
+00:12:11,740 --> 00:12:12,300
+حاسم يلا
+
+143
+00:12:15,930 --> 00:12:21,090
+اها بدأ شكل better مختلفة اعتمد على ال better من
+
+144
+00:12:21,090 --> 00:12:25,750
+السابق لكن جاب شغلة جديدة لو كان ال box .. لو كان
+
+145
+00:12:25,750 --> 00:12:32,050
+box .. أي shape .. أي shape .. ماتكلمش على ال box
+
+146
+00:12:32,050 --> 00:12:38,590
+عدّله اللي جنبه جاله الأشكال اللي أوزانها أقل من
+
+147
+00:12:38,590 --> 00:12:44,090
+400 فهي حمرة طيب ممتاز خلّين هذه ال .. blue ..
+
+148
+00:12:44,090 --> 00:12:51,410
+blue حمرةأيوة، لو كان أزرق، مياته أربعمية الآن أقل
+
+149
+00:12:51,410 --> 00:12:59,530
+من الأربعمية فهو أحمر هاي اللي بتقوله طب
+
+150
+00:12:59,530 --> 00:13:06,390
+مش .. مش ملاحظ أنه هذا ممكن يكون هان سؤال مش
+
+151
+00:13:06,390 --> 00:13:10,270
+ملاحظ أنه ممكن يكون ال .. بكتير من اللي أنت بتتكلم
+
+152
+00:13:10,270 --> 00:13:14,110
+و already زميلك حكاه هان لأنه لو ماكانش وزنه
+
+153
+00:13:14,110 --> 00:13:20,150
+أربعميةمعناته هو مش فعندي النفي، مظبوط، لما
+
+154
+00:13:20,150 --> 00:13:29,070
+تنفيها، الآن if then أو ال by implies بال discrete
+
+155
+00:13:29,070 --> 00:13:35,550
+mathematics لما تنفيها، إيش بتصير نفيها؟ not or،
+
+156
+00:13:35,550 --> 00:13:40,130
+مظبوط، طيب، الآن هذا better، لأن افضلت، هاي ال two
+
+157
+00:13:40,130 --> 00:13:46,030
+better نزلنا عندي وفهمناهم كويسبدي حد الآن حذّق
+
+158
+00:13:46,030 --> 00:13:48,630
+فيكوا يقولّي إيش ال action اللي ممكن أنا أخده
+
+159
+00:13:48,630 --> 00:13:55,970
+عليهم تعمل
+
+160
+00:13:55,970 --> 00:14:00,790
+test لخط الإنتاج test لخط الإنتاج إذا كان ال box
+
+161
+00:14:00,790 --> 00:14:03,830
+اللي جايينه أحمر و وزنه فوق ال 300 يكون non valid
+
+162
+00:14:03,830 --> 00:14:07,850
+أه يعني مثلا زميلنا قال والله أنا ال validity تبعت
+
+163
+00:14:07,850 --> 00:14:12,900
+مبنية على اللون الأحمر أو اللون الأزرقلأ ممكن يكون
+
+164
+00:14:12,900 --> 00:14:16,740
+في .. اتنين موجودات عندى انا هان .. بس بدي ..
+
+165
+00:14:16,740 --> 00:14:21,280
+بتخزين تعمل .. تصميم تعمل .. طيب .. بتخزين تعمل ..
+
+166
+00:14:21,280 --> 00:14:21,480
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+167
+00:14:21,480 --> 00:14:21,620
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+168
+00:14:21,620 --> 00:14:21,800
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+169
+00:14:21,800 --> 00:14:22,380
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+170
+00:14:22,380 --> 00:14:23,380
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+171
+00:14:23,380 --> 00:14:26,040
+بتخزين تعمل .. بتخزين تعمل .. بتخزين تعمل ..
+
+172
+00:14:26,040 --> 00:14:38,200
+بتخزين تعمل .. بتخزين تعمل .. بتخزين
+
+173
+00:14:38,200 --> 00:14:42,390
+تعمل ..يعني ممكن انا استفيد فيها في الموضوع
+
+174
+00:14:42,390 --> 00:14:47,530
+التخزين 100
+
+175
+00:14:47,530 --> 00:14:52,850
+% بس الان في عندي مشكلة ال cone هذا تمام مش هيظبط
+
+176
+00:14:52,850 --> 00:14:56,950
+احطه تحت الصندوق احطه تحت ما هو blue
+
+177
+00:15:01,700 --> 00:15:06,280
+طيب اتدوني action .. ايوه النقل ال action الأسهل
+
+178
+00:15:06,280 --> 00:15:10,340
+من كل الكلام اللي انت بتقوله في موضوع النقل انتبه
+
+179
+00:15:10,340 --> 00:15:15,040
+ال shape أو ال object اللي باللون الأزرق هي الأجل
+
+180
+00:15:15,040 --> 00:15:19,780
+انتبه هو انت بتحمل فيها، بشو رايكوا؟ فكمان مرة
+
+181
+00:15:19,780 --> 00:15:24,710
+كتير .. هضرب عدي مثالهتحس في حالتك لو انت بتجاوب
+
+182
+00:15:24,710 --> 00:15:29,030
+عمالك بتعقد حالك أو بتحاول .. بتجاوب صح لكن بطريقة
+
+183
+00:15:29,030 --> 00:15:34,750
+معقدة طب ليش ماتوصفها بكلام سهل وبسيط؟ تمام؟ okay
+
+184
+00:15:34,750 --> 00:15:40,070
+تعالي نشوف المثال التالي هذا الآن،
+
+185
+00:15:40,070 --> 00:15:46,410
+عندنا بنك بيعطي قروض ربوية،
+
+186
+00:15:46,410 --> 00:15:52,810
+حاضر يا شيخ، ربوية، بدي قروض ربوية، الآن الناسفي
+
+187
+00:15:52,810 --> 00:16:01,490
+ناس بتدفع اللي بلون الأزرق وفي ناس مابتدفعش في ناس
+
+188
+00:16:01,490 --> 00:16:07,350
+بتدفع وفي ناس مابتدفعش أو بتسددش ناس اللي مابتسددش
+
+189
+00:16:07,350 --> 00:16:11,170
+هتبتمثل risk على البنك لأنه بيخسر، بيخسر فلوسه
+
+190
+00:16:11,170 --> 00:16:15,130
+بالإضافة للربا اللي هو المفروض أو الفائدة اللي هو
+
+191
+00:16:15,130 --> 00:16:18,890
+المفروض يحصلها، فهو خسران فالآن بده ياخد decision
+
+192
+00:16:18,890 --> 00:16:23,510
+كيف يبدأ يميزما بين الناس اللي بتدفع و الناس اللي
+
+193
+00:16:23,510 --> 00:16:33,130
+بتدفعش المعلومات اللي عنده فقط salary راتب الموظف
+
+194
+00:16:33,130 --> 00:16:38,930
+و قيمة القرض اللي طالبه لأنه
+
+195
+00:16:38,930 --> 00:16:42,820
+فعليا لازم قيمة القرض أكبر منال salary طبيعي لو
+
+196
+00:16:42,820 --> 00:16:46,060
+قيمة القرض زي ال salary او اقل انا مش بحاجة اني
+
+197
+00:16:46,060 --> 00:16:52,040
+اريش اروح اقترض لان الراتب هيكون كافي الان ايش
+
+198
+00:16:52,040 --> 00:17:00,780
+بتقترح عليه او ايش هتلي نمط او هتلي pattern بحيث
+
+199
+00:17:00,780 --> 00:17:06,340
+انه ساعد البنك هذا على اختيار الناس نعم ال
+
+200
+00:17:06,340 --> 00:17:13,950
+salary يكون عالي وال loan يكون اقل منهمنخفض طب
+
+201
+00:17:13,950 --> 00:17:20,030
+ممتاز لو أنا سألتك يا مؤمن أي دين ال value اللي
+
+202
+00:17:20,030 --> 00:17:25,990
+أنت بتحق أو بتقول عليها عالي أو منخفض؟ مافيش ال
+
+203
+00:17:25,990 --> 00:17:32,370
+average مش ضروري مش ضروري الآن تخيل لو أنا أجي
+
+204
+00:17:32,370 --> 00:17:38,670
+تقولت هيك حاطيتلك خط هنا هدول
+
+205
+00:17:38,670 --> 00:17:43,730
+مش هيدفعه و هدول بيدفعهتبع للألوان اللي موجودة هذه
+
+206
+00:17:43,730 --> 00:17:49,930
+ال pattern تبعي صحيح؟ صح .. صح .. بس بالنسبة غير
+
+207
+00:17:49,930 --> 00:17:54,010
+دقيقة ليش؟ لأنه ضمنت فيهم مجموعة كتير من الناس
+
+208
+00:17:54,010 --> 00:17:58,950
+اللي باللون الأحمر اللي بتدفعش خد
+
+209
+00:17:58,950 --> 00:18:07,390
+الخط اللي بعدي هان .. هيكأة صح بس برضه ما زال فيه
+
+210
+00:18:07,390 --> 00:18:07,930
+رسبة خطأ
+
+211
+00:18:12,810 --> 00:18:20,370
+هذا الأسود لسه عم يشتغل شكله مش مشكلة مش مشكلة
+
+212
+00:18:20,370 --> 00:18:30,970
+نيجي للي بعده هان أيب
+
+213
+00:18:30,970 --> 00:18:40,410
+هان مع أي خط أنت من الخطوط هاي الأزرق اللي في النص
+
+214
+00:18:43,550 --> 00:18:50,390
+أغمق واحد .. هذا .. أخدهم كلهم ليش؟ عشان تزيد
+
+215
+00:18:50,390 --> 00:18:59,450
+نسبة؟ يعني أنا آجي .. آجي أخد هذا يعني؟ بينفعش ..
+
+216
+00:18:59,450 --> 00:19:03,190
+أنت ب .. الآن بقى تديني .. بقى تديني قرار الناس لو
+
+217
+00:19:03,190 --> 00:19:07,390
+رواتبهم أقل من كده هرفضهم و الناس كده .. طبعا
+
+218
+00:19:07,390 --> 00:19:11,710
+العكس هاخدهم .. هقبل أديهم القرض هذا خدلي قرار
+
+219
+00:19:11,710 --> 00:19:13,210
+الآن بناء على الخطوط الموجودة
+
+220
+00:19:20,460 --> 00:19:29,260
+طب انا خسرت هنا في زبولين دفيع انا خسرتهم طيب
+
+221
+00:19:29,260 --> 00:19:34,680
+في المقابل .. في المقابل كفي اتنين هدولة مش دفيع و
+
+222
+00:19:34,680 --> 00:19:39,860
+هخسر عليهم .. هخسر يعني انا خسرت هنا .. اخسرت هنا
+
+223
+00:19:39,860 --> 00:19:45,600
+فلوس او ربحخان أقول محتمل و هان صارت في عندي خسارة
+
+224
+00:19:45,600 --> 00:19:53,340
+أكيدة أها، تلاحظ أنه بالمثال هذا أنه أنا فعليا
+
+225
+00:19:53,340 --> 00:19:58,980
+فعليا في خسارة في كل الأحوال كل خط من الخطوط فيه
+
+226
+00:19:58,980 --> 00:20:03,500
+risk ولا لا، فيه مخاطرة، بس من المخاطرة الأقل
+
+227
+00:20:03,500 --> 00:20:08,320
+بالنسبة ليه؟ الخط هذا اللي في الوسطهذا واحد يقول
+
+228
+00:20:08,320 --> 00:20:11,340
+لدكتور وين المخاطر في الموضوع انت هدولة كلهم
+
+229
+00:20:11,340 --> 00:20:15,340
+دافعين لا يا عم انت خسرت مبالغ من المال مؤكدة في
+
+230
+00:20:15,340 --> 00:20:21,580
+الدفع كانت هتكون هذه أرباحهم كانت أكيدة بالنسبة لك
+
+231
+00:20:21,580 --> 00:20:24,980
+هتقولي ضمنت هدولة التنين ما هي في الآخر فيها risk
+
+232
+00:20:24,980 --> 00:20:31,120
+مصبوط وبالتالي إنت بدك decision فالآن ال pattern
+
+233
+00:20:31,120 --> 00:20:34,160
+اللي هنطلع فيه هذا
+
+234
+00:20:37,630 --> 00:20:41,050
+زي ما احنا متفقين إنه هذا أفضل .. ليش؟ أفضل خط
+
+235
+00:20:41,050 --> 00:20:46,650
+ممكن نشتغل معاه تمام؟ الآن بدنا نسقط المعايير
+
+236
+00:20:46,650 --> 00:20:50,150
+التلاتة الأساسية طبعا احنا متفقين إنه هذا
+
+237
+00:20:50,150 --> 00:20:55,210
+implicit، مصبوط؟ مش fake، هذه ال data حقيقية و
+
+238
+00:20:55,210 --> 00:20:59,170
+حاولنا نحط خط هان بمثل رقم الـK دي قيمة ال salary
+
+239
+00:20:59,170 --> 00:21:04,690
+اللي أنا بناء عليها بدي أقرر أقبل أو أرفض طلب
+
+240
+00:21:04,690 --> 00:21:05,110
+القرض
+
+241
+00:21:08,950 --> 00:21:13,810
+Is it valid؟ بما أني حطيتها الصورة مش مشكلة الآن
+
+242
+00:21:13,810 --> 00:21:19,950
+السؤال الأول، هل هذا valid؟ أه، احنا قلنا valid
+
+243
+00:21:19,950 --> 00:21:24,730
+with some degree of certainty لإلى حد ما، ممتاز
+
+244
+00:21:24,730 --> 00:21:30,890
+جداش نثبت صحة الكلام هذا؟
+
+245
+00:21:30,890 --> 00:21:35,690
+عدد الأحمر على عدد الأزرق، لأ عدد المختلف على
+
+246
+00:21:35,690 --> 00:21:43,410
+العدد الكلي المفروض أن كله أحمرفيه اتنين أزراج و
+
+247
+00:21:43,410 --> 00:21:47,370
+اتنين أحمرها المفروض كله أزراج فبصير قداش أربعة
+
+248
+00:21:47,370 --> 00:21:51,110
+مختلفة يعني هدول الأربعة هم المشكلة اللي عندي صح؟
+
+249
+00:21:51,110 --> 00:21:57,230
+هدول اللي انا هخطئ فيهم قداش نسبتهم على عدد النقاط
+
+250
+00:21:57,230 --> 00:22:02,670
+كلتها هدي بجيب انا ال risk rateبينما الـ Validity
+
+251
+00:22:02,670 --> 00:22:08,130
+Rate تبعتيه هي عدد الـ decision الصحيحة على عدد
+
+252
+00:22:08,130 --> 00:22:12,810
+العدد الكلي ففعليا عدد النقاط الزرق اللي هان و عدد
+
+253
+00:22:12,810 --> 00:22:17,530
+النقاط الحمره اللي هان على المجموع الكلي للنقاط
+
+254
+00:22:17,530 --> 00:22:23,830
+تمام؟ فبالتالي هذا ال pattern هو فعليا valid with
+
+255
+00:22:23,830 --> 00:22:31,050
+some degree of certainty بتصل إلى 86% تقريبا
+
+256
+00:22:32,310 --> 00:22:40,670
+هل هو novel؟ novel إذا كانت الـ K هذه مختلفة عن ال
+
+257
+00:22:40,670 --> 00:22:43,450
+.. عن ال K أو القيمة اللي بيعتمد عليها البنك
+
+258
+00:22:43,450 --> 00:22:48,890
+سابقاً يعني ممكن البنك كان بيعتمد على قيمة أكبر هو
+
+259
+00:22:48,890 --> 00:22:52,670
+أنا أثبتله إن هو عمال بيخسر أو البنك فعليا بيعتمد
+
+260
+00:22:52,670 --> 00:22:56,290
+على قيمة أقل وأثبتله أنا فعليا عماله بيختسر قلتله
+
+261
+00:22:56,290 --> 00:23:04,140
+أفضل K هيها إذا كانت ال K غير معروفةتمام تماما مثل
+
+262
+00:23:04,140 --> 00:23:07,760
+ما واحد ييجي يقولي الآن من تعويت الفيزيا أن قيمة
+
+263
+00:23:07,760 --> 00:23:17,340
+القوة الجاذبية الأرضية 9.8 انت أثبتها الآن؟ معروفة
+
+264
+00:23:17,340 --> 00:23:25,560
+من زمان لكن لو إجي قاللي لأ هي مش 9.8 هي 9.7 اتنين
+
+265
+00:23:25,560 --> 00:23:31,590
+من عشرة و أثبت الكلام هذا معناته هو جابNovel
+
+266
+00:23:31,590 --> 00:23:34,710
+knowledge موجودة عندنا بيعناته احنا قلنا الـ
+
+267
+00:23:34,710 --> 00:23:40,090
+better and valid novel هل هو useful؟ شو رأيكوا؟
+
+268
+00:23:40,090 --> 00:23:43,710
+useful بالنسبة للبنك و actionable، هيكون يعتمد
+
+269
+00:23:43,710 --> 00:23:49,310
+عليه الشغل، تمام طبعا سألنا نفسنا سابقا في
+
+270
+00:23:49,310 --> 00:23:52,370
+المحاضرة الماضية ليش فعليا احنا محتاجين قواعد ال
+
+271
+00:23:52,370 --> 00:23:56,090
+data mining تنقيب البيانات لأن فعليا أنا عمال
+
+272
+00:23:56,090 --> 00:24:01,490
+البيانات بتتضخمبشكل كبير جدا مصادر البيانات بتتنوع
+
+273
+00:24:01,490 --> 00:24:09,090
+وطرق جمعها أسهل مصادر البيانات تبعتي في ال
+
+274
+00:24:09,090 --> 00:24:14,570
+business و ال science كل العلوم و ال society طيب
+
+275
+00:24:14,570 --> 00:24:20,980
+الآن مصادر البيانات بتتنوعالكاميرا، مواقع التواصل
+
+276
+00:24:20,980 --> 00:24:24,940
+الاجتماعي، مسجلات الصوت، الجوالات، كل هذه عبارة عن
+
+277
+00:24:24,940 --> 00:24:28,740
+مصادر بيانات، ولا لأ؟ اليوم المؤسسات بتقولك أنا في
+
+278
+00:24:28,740 --> 00:24:30,660
+عندي بيانات في الموضوع الفلان، بس تعالي اشتغل
+
+279
+00:24:30,660 --> 00:24:34,460
+عليها، فضل خدها، و بس اعمل citation لإنا، لأن هذا
+
+280
+00:24:34,460 --> 00:24:38,080
+ال data ملكنا، مافيش مشكلة، بدي أسأل سؤال الآن، لو
+
+281
+00:24:38,080 --> 00:24:46,280
+طلبت منك تصور أن الآن وزارة المواصلات
+
+282
+00:24:48,260 --> 00:24:54,000
+قررت تعمل برنامج أو تعمل system آلي يتعرف على
+
+283
+00:24:54,000 --> 00:24:58,620
+لوحات السيارات أو يتعرف على السيارات ويفحص في الـ
+
+284
+00:24:58,620 --> 00:25:03,380
+database هل السيارة هذه مرخصة أو غير مرخصة ويبعت
+
+285
+00:25:03,380 --> 00:25:08,960
+إشعار للدورية اللي بعيدة عن مكان الـ sensor أو
+
+286
+00:25:08,960 --> 00:25:12,690
+الكاميرا اللي موجودةبعيدة 500 متر، يعني مثلا
+
+287
+00:25:12,690 --> 00:25:18,130
+تخيلها نحط البرنامج تبعنا على مفترق الصناعة
+
+288
+00:25:18,130 --> 00:25:24,190
+والدورية واقفها عند الأرقام، الآن، شو تصورك عن هيك
+
+289
+00:25:24,190 --> 00:25:31,810
+برنامج؟ شوية يا مؤمن، أيوة، يكون سريع في لصول
+
+290
+00:25:31,810 --> 00:25:36,030
+البيانات، أنا زوّدت البرنامج هذا بخط إنترنت 8
+
+291
+00:25:36,030 --> 00:25:39,270
+ميجا، 8 ميجا، يعني من ال access على ال database
+
+292
+00:25:39,270 --> 00:25:40,430
+تبعت الترخيص
+
+293
+00:25:46,280 --> 00:25:51,240
+مهن عمال اقولتلك انا وفرتلك اتصال internet ممتاز
+
+294
+00:25:51,240 --> 00:25:57,880
+وسريع جدا مع database تبعت الترخيص بدي
+
+295
+00:25:57,880 --> 00:26:00,680
+image detection عشان يقرأ رقم اللوحة جابلي ال
+
+296
+00:26:00,680 --> 00:26:03,400
+image detection بدي camera عشان تقرأ اللوحة
+
+297
+00:26:06,790 --> 00:26:09,270
+اللوحات موجودة، انسى، كل اللوحات مساعدة والمفروض
+
+298
+00:26:09,270 --> 00:26:12,750
+كلها شغالة بنفس ال standard بشتغل على إنه فعلياً
+
+299
+00:26:12,750 --> 00:26:19,130
+في لوحة على السيارة والأرقام مقروقة آه الشباب، إيش
+
+300
+00:26:19,130 --> 00:26:24,790
+اللي هيصير فعلياً؟ أنا الآن بحاجة إلى .. أيوة، إن
+
+301
+00:26:24,790 --> 00:26:29,090
+الكاميرا تكون موجودة، تمام، تلتقط الصورة، طبعا
+
+302
+00:26:29,090 --> 00:26:33,810
+لاحظ .. تخيل، تخيل هيكأنه بدل .. بدل البرنامج هذا
+
+303
+00:26:33,810 --> 00:26:37,890
+إنسان قاعد ماسك الجوال أو التاب المتصل مع الوزارة
+
+304
+00:26:37,890 --> 00:26:43,370
+بنفس الخط شاف السيارة وبيدخل رقمها طب في لحظة
+
+305
+00:26:43,370 --> 00:26:48,350
+ادخال السيارة الواحدة في عشر سيارات تانية دخلت
+
+306
+00:26:48,350 --> 00:26:53,610
+بينما ال system ممكن يقرأ العشر سيارات هدول في نفس
+
+307
+00:26:53,610 --> 00:26:58,610
+اللحظة ولا لا؟ الآنالكاميرا هي مصدر بيانات ومصدر
+
+308
+00:26:58,610 --> 00:27:01,890
+بيانات ضخم جدا إحنا قاعد بتكلم على مثال تحديد
+
+309
+00:27:01,890 --> 00:27:06,750
+اللوحات وفي ناس ممكن تصعد لأكثر لتحديد الوجوه من
+
+310
+00:27:06,750 --> 00:27:11,070
+الناس اللي قاعدة في السيارة أه لأن بكل بساطة مصدر
+
+311
+00:27:11,070 --> 00:27:14,130
+بيانات والكاميرا موجودة سواء كانت officially أو
+
+312
+00:27:14,130 --> 00:27:17,530
+legally أو illegal موجودة سواء كنت شايفها أو غير
+
+313
+00:27:17,530 --> 00:27:22,930
+شايفها أو أنت مش شايفها في الآخربتصور و تحدد الهدف
+
+314
+00:27:22,930 --> 00:27:26,550
+و ال site تبعتها واسعة و بتسحب كله فالمعلومات سهلة
+
+315
+00:27:26,550 --> 00:27:30,570
+جدا أنك تحصل عليها في أي مجال أنت بدكيها يعني مثلا
+
+316
+00:27:30,570 --> 00:27:34,450
+واحد بيقرر إن الصوت اللي إحنا سمعناه هذا صوت فعليا
+
+317
+00:27:34,450 --> 00:27:38,930
+مجدح ولا صوت سيارة كانت ماشية بجنبنا ماشاء الله
+
+318
+00:27:38,930 --> 00:27:45,200
+عليك خبرةالان الفكرة ان انا فعليا بابني system طب
+
+319
+00:27:45,200 --> 00:27:51,000
+الآن عشان ال system تبع يكون دقيق بيلزمه يتعرف على
+
+320
+00:27:51,000 --> 00:27:56,520
+قالية كتابة الأرقام و قبل ما يتعرف على قالية كتابة
+
+321
+00:27:56,520 --> 00:28:03,340
+الأرقام يقدر يبحث عن اللوحة وين في جلب الشاشة طب
+
+322
+00:28:03,340 --> 00:28:05,180
+وين أماكن اللوحات؟
+
+323
+00:28:07,360 --> 00:28:10,420
+بتختلف حسب ارتفاع السيارة ممكن واحد يحطها على
+
+324
+00:28:10,420 --> 00:28:12,920
+اليمين، ممكن يحطها على الوسط، مظبوط؟ ممكن يحطها في
+
+325
+00:28:12,920 --> 00:28:16,460
+اليسار، فانت ال system بدك تدوره، يبحث، وهذا
+
+326
+00:28:16,460 --> 00:28:20,360
+الكلام مش هيصير اتعلمه إلا غير لما تعرض عليه
+
+327
+00:28:20,360 --> 00:28:24,680
+مجموعة من الصور، لسيارات موجودة ولكل الاحتمالات
+
+328
+00:28:24,680 --> 00:28:30,360
+عشان فعلا يتعلموا كيف يبدوا يبحث طيب، بالتالي
+
+329
+00:28:30,360 --> 00:28:35,070
+الكاميرات الموجودة في الشوارعموجودة للحكومة موجودة
+
+330
+00:28:35,070 --> 00:28:38,190
+لأصحاب المحلات موجودة وبالتالي أنا في أن تتضخم في
+
+331
+00:28:38,190 --> 00:28:42,850
+حجم البيانات لدرجة إنه ممكن نغرق فيها لكنه نتضور
+
+332
+00:28:42,850 --> 00:28:48,830
+جوعا للمعرفة تمام هنتقل للخطوة التانية في الـ
+
+333
+00:28:48,830 --> 00:28:53,850
+knowledge discovery process لو أنا سألتي الآن شو
+
+334
+00:28:53,850 --> 00:28:57,810
+بتتوقع بعيدا عن الناس اللي معاهم ال slides شو
+
+335
+00:28:57,810 --> 00:29:04,410
+بتتوقع جدش عدد الخطواتأو المراحل اللي أنا همر فيها
+
+336
+00:29:04,410 --> 00:29:15,370
+لحد ما أحصل على ال knowledge خمسة سبعة أيوة عشرة
+
+337
+00:29:15,370 --> 00:29:19,350
+هي مش مزاد ربالكوا حاول .. حاول تعمل estimation
+
+338
+00:29:19,350 --> 00:29:30,050
+حسب البرنامج أو حسب الحالة طيب أيوة افترض .. افترض
+
+339
+00:29:30,050 --> 00:29:38,120
+المناقب عن الذهبإيش بيساوي؟ بيبدأ .. بيدور على
+
+340
+00:29:38,120 --> 00:29:42,960
+دهب؟ لأ، بيدورش .. بيبدأ يدور على تربة معينة قريبة
+
+341
+00:29:42,960 --> 00:29:45,920
+من المناطق البراكين والحرق والزلازل والحركة
+
+342
+00:29:45,920 --> 00:29:49,280
+الأرضية بيجيش في الشيعية مثلا يدور ولا في غزة في
+
+343
+00:29:49,280 --> 00:29:52,840
+الشاطئ يدور، مصبوط؟ ليش؟ لأن هذه المناطق طالما هي
+
+344
+00:29:52,840 --> 00:29:57,840
+بعيدة عن المناطق البراكين والزلازل مش هيطلع
+
+345
+00:29:57,840 --> 00:30:02,360
+بالضبط، مافيش فرصة إنه يبين الدهب أو يتجمع أو يظهر
+
+346
+00:30:03,010 --> 00:30:06,730
+فبالتالي هو بدأ يبحث وبالتالي أنت كذلك بدأت تبحث
+
+347
+00:30:06,730 --> 00:30:10,470
+عن البيانات اللي موجودة عندك طيب، لجينا البيانات و
+
+348
+00:30:10,470 --> 00:30:14,890
+هو حدد التربة، شو بيبدأ يسوي؟ يعني قالوله والله
+
+349
+00:30:14,890 --> 00:30:18,290
+المنطقة الفلانية منطقة غصبة ممكن يكون فيها، بديه
+
+350
+00:30:18,290 --> 00:30:21,410
+يبدأ تنقيب مباشرة؟ جيه، بديه ياخد عينات، بديه
+
+351
+00:30:21,410 --> 00:30:26,120
+يفحص، بديه يشوف فعليا فيه موجود ولا مافيشمش دي ولا
+
+352
+00:30:26,120 --> 00:30:30,500
+غير لأ بدي أحاول يعمل pilot study هذه مش موجودة
+
+353
+00:30:30,500 --> 00:30:35,160
+علينا الآن لأن لما أنا بديت أجيب البيانات تخيل أن
+
+354
+00:30:35,160 --> 00:30:39,840
+أحنا بدنا نفحص الوضع علاقة الوضع الصحي أو تأثير
+
+355
+00:30:39,840 --> 00:30:45,680
+الوضع الصحي على تحصيل الطالب في المراحل الإبتدائية
+
+356
+00:30:45,680 --> 00:30:49,700
+الشيء
+
+357
+00:30:51,640 --> 00:30:54,160
+أما أنا قاعد بقولك أنا بدي knowledge أو بدي .. بدي
+
+358
+00:30:54,160 --> 00:30:58,180
+أشوف إيش ال pattern أو إيش النمط اللي موجود أو
+
+359
+00:30:58,180 --> 00:31:03,420
+العلاقة اللي موجودة بين الحالة الصحية للطالب أو
+
+360
+00:31:03,420 --> 00:31:07,980
+للتلميذ تمام؟ مع محسوة تحصيله العلمي في المرحلة
+
+361
+00:31:07,980 --> 00:31:12,340
+الإبتدائية الآن تحصيله العلمي بسيطة بروح على وزارة
+
+362
+00:31:12,340 --> 00:31:14,960
+الترابي والتعليم قالوا يا جماعة الخير بدنا بيانات
+
+363
+00:31:14,960 --> 00:31:20,350
+الطلاب في المرحلة الإبتدائية تمام؟ هيهالأ مافيش
+
+364
+00:31:20,350 --> 00:31:24,650
+فيها بيانته الصحية بيانته الصحية مش موجودة في
+
+365
+00:31:24,650 --> 00:31:27,850
+الترابي والتعليم موجودة وين؟ وزارة الصحة فاروح
+
+366
+00:31:27,850 --> 00:31:31,450
+وزارة الصحة هقولهم الله بدي بيانات .. بدي بيانات
+
+367
+00:31:31,450 --> 00:31:35,750
+الأطفال اللي موجود .. محصورين من سن مثلا خمس سنوات
+
+368
+00:31:35,750 --> 00:31:40,290
+لكذا مسجلين في المدارس إذا كان عنده مصنف مسجل أو
+
+369
+00:31:40,290 --> 00:31:43,970
+غير مسجل في المدرسة بساعدوني بقلصه وإلا هيدوني
+
+370
+00:31:43,970 --> 00:31:45,870
+اتفضل هي الفئة العمرية اللي انت طلبتها كلها يا
+
+371
+00:31:45,870 --> 00:31:50,260
+عزيزي إيش شبك تسوي بعد هيك؟أولش بياخد تعمل match
+
+372
+00:31:50,260 --> 00:31:53,300
+بتصفت اللي جبتها من الصح عشان تعمل match لو أنا
+
+373
+00:31:53,300 --> 00:31:57,560
+بدي بيانات الطالب كم .. طيب و بعد هيك تعمل بينهم
+
+374
+00:31:57,560 --> 00:32:03,120
+integration ولا شو رايك؟ هي مرحلة تانية الآن في
+
+375
+00:32:03,120 --> 00:32:07,060
+قبل المرحلة هاي .. قبل مرحلة ال integration في
+
+376
+00:32:07,060 --> 00:32:10,840
+مرحلة بنسميها ال cleaning ال cleaning أنا مش كل ال
+
+377
+00:32:10,840 --> 00:32:16,570
+data دي بتلزمني تمام؟ اهفبدي .. مش كل ال columns
+
+378
+00:32:16,570 --> 00:32:19,790
+بتلزمني فحط أحد بدي أحدد مين هي ال columns اللي
+
+379
+00:32:19,790 --> 00:32:24,510
+أستبقى بعد هيك بعد ال integration في عندي
+
+380
+00:32:24,510 --> 00:32:27,750
+transformation فاحنا فعليا بنتكلم على تمن مراحل
+
+381
+00:32:27,750 --> 00:32:35,570
+شباب في التعامل مع ال knowledge discovery
+
+382
+00:32:35,570 --> 00:32:41,550
+databases مختلفة ممكن أعملها cleaning مصادرها
+
+383
+00:32:41,550 --> 00:32:45,160
+مختلفة ممكن database أو data fileبدي أعمل
+
+384
+00:32:45,160 --> 00:32:47,500
+selection بعدها بعد ال integration أعمل selection
+
+385
+00:32:47,500 --> 00:32:50,700
+و transformation و أروح على ال data mining أعمل
+
+386
+00:32:50,700 --> 00:32:54,200
+evaluation عشان أتحقق من ال validity تبع ال
+
+387
+00:32:54,200 --> 00:32:58,180
+pattern تبعي قبل ما أعمله presentation الخطوة
+
+388
+00:32:58,180 --> 00:33:02,160
+الأولى بحنا بنسميها data cleaning data cleaning
+
+389
+00:33:02,160 --> 00:33:06,120
+معناته أنا بدي أعمل remove لل noise data أو remove
+
+390
+00:33:06,120 --> 00:33:12,400
+لل inconsistent dataأو أكمل أو أحذف الـincomplete
+
+391
+00:33:12,400 --> 00:33:15,980
+data يعني لما أنا بسمع كلمة noise data فيه three
+
+392
+00:33:15,980 --> 00:33:22,260
+terms مباشرة لازم تتبادر لذهنك الأول الـincomplete
+
+393
+00:33:22,260 --> 00:33:27,320
+الـ null مافيش عندي value التانية الـ inconsistent
+
+394
+00:33:27,320 --> 00:33:34,600
+data البيانات الغير متناسقة طب و ال noise اللي هي
+
+395
+00:33:34,600 --> 00:33:41,380
+فيه قيم لكن القيم هذه خاطئةالقيم هذه خاطئة مثل أجي
+
+396
+00:33:41,380 --> 00:33:46,100
+أقولك إن ال salary بيسالب سالب 1300 مين اللي
+
+397
+00:33:46,100 --> 00:33:50,880
+بيقبلش؟ لأ انت بدأت مش .. مش في منطق .. مش في موقع
+
+398
+00:33:50,880 --> 00:33:54,380
+.. في .. في مكان حكومة تقول بيقبل و بيقبلش انت
+
+399
+00:33:54,380 --> 00:33:57,460
+دورك الآن انت خدت ال database أو خدت بيانات من ال
+
+400
+00:33:57,460 --> 00:34:01,620
+database أو ادوك جدول بيانات لجد في الموظف الفلاني
+
+401
+00:34:01,620 --> 00:34:10,240
+ال salary تبعه ناقص 1450هد inconsistent data لأ هد
+
+402
+00:34:10,240 --> 00:34:15,780
+missing data لأ فيه value هد noise data تماما مثل
+
+403
+00:34:15,780 --> 00:34:22,420
+أنا متوقع العمر اللي عندي لقته
+
+404
+00:34:22,420 --> 00:34:27,980
+180 طالب
+
+405
+00:34:27,980 --> 00:34:32,280
+مدرسة و 180 هد
+
+406
+00:34:32,280 --> 00:34:38,920
+مش missingتمام؟ هذه مش inconsistent هذه noise
+
+407
+00:34:38,920 --> 00:34:43,880
+incorrect noise data في خطأ في ال data هبدها إيش؟
+
+408
+00:34:43,880 --> 00:34:48,860
+بدها تعديل طيب
+
+409
+00:34:48,860 --> 00:34:52,720
+أول بدنا مع ال missing إنه أنا فعليا في عندي null
+
+410
+00:34:52,720 --> 00:34:57,860
+values زي ما قلنا ال noise data في عندي قيم أو في
+
+411
+00:34:57,860 --> 00:35:01,740
+عندي قيمة خاطئةزي سالب عشرة ال salary أو ال age
+
+412
+00:35:01,740 --> 00:35:06,500
+180 أو ما شابه ال inconsistent أجي ألاقي على سبيل
+
+413
+00:35:06,500 --> 00:35:10,540
+المثال أن ال gender male و ال status pregnant
+
+414
+00:35:10,540 --> 00:35:13,960
+الجنس
+
+415
+00:35:13,960 --> 00:35:18,640
+ذكر و الحالة حامل حامل الهموم الدنيا الله يعينه
+
+416
+00:35:18,640 --> 00:35:22,240
+تمام؟ بالتالي هاي ال inconsistent أجي ألاقي مثلا
+
+417
+00:35:22,240 --> 00:35:29,630
+ال age 40 سنة و هو موليد ال 95 .. 1995هذه
+
+418
+00:35:29,630 --> 00:35:33,430
+inconsistent يعني الـ inconsistent يعني أنا فيه
+
+419
+00:35:33,430 --> 00:35:36,830
+عندي two values موجودات في نفس ال rows لكن
+
+420
+00:35:36,830 --> 00:35:42,670
+الاثنتين بتناقضوا مع بعضهم، تمام؟ في حد بيقدر يجيب
+
+421
+00:35:42,670 --> 00:35:47,750
+كمان مثال على ال inconsistent data جبتلك ال age
+
+422
+00:35:47,750 --> 00:35:52,850
+وجبتلك ال gender مثلا،
+
+423
+00:35:52,850 --> 00:35:57,730
+كمان مثالكمان مثال على ال inconsistent data اسمه
+
+424
+00:35:57,730 --> 00:36:01,950
+اللي بيقول قيمة ال salary تبعته ألف وقيمة ال tax
+
+425
+00:36:01,950 --> 00:36:07,950
+أو الضريبة اللي تدفع ألفين المدرسة
+
+426
+00:36:07,950 --> 00:36:13,450
+في ولاية .. يعني مثلا هو في ولاية غزة العتيدة و
+
+427
+00:36:13,450 --> 00:36:18,450
+بدرس في ولاية رمالة مافيش مشكلة .. مافيش مشكلة
+
+428
+00:36:18,450 --> 00:36:24,820
+طالب مش متجر المدرسةفي الجامعة الإسلامية بتصير
+
+429
+00:36:24,820 --> 00:36:30,220
+مافيش مشكلة طالب انسجد في مدرسة للإناث؟ اه ايوة
+
+430
+00:36:30,220 --> 00:36:34,220
+هذه inconsistent data الطالب موجود في مدرسة ..
+
+431
+00:36:34,220 --> 00:36:38,000
+مدرسة للإناث مختلفة .. مختلفة .. مختلفة .. مختلفة؟
+
+432
+00:36:38,000 --> 00:36:43,060
+لأ هو حددها قيدها مدرسة للإناث مستحيل تكون مختلفة
+
+433
+00:36:43,060 --> 00:36:50,400
+طيب تمام دكتور بيطري في مستشفي البشري برضه فكرة
+
+434
+00:36:53,200 --> 00:36:59,160
+بواسطة تمام data integration ضربنا مثال على ال
+
+435
+00:36:59,160 --> 00:37:02,420
+data integration مهم جدا أن أنا أجمع البيانات لأنه
+
+436
+00:37:02,420 --> 00:37:07,740
+مش ضروري مصدر البيانات تبعتي تكون في مكان واحد زي
+
+437
+00:37:07,740 --> 00:37:12,000
+ما شوفنا من التعليم ومن الصحة فانت الآن مقلوب منك
+
+438
+00:37:12,000 --> 00:37:18,940
+تجمع البيانات هذه ال
+
+439
+00:37:18,940 --> 00:37:24,510
+data selection المفروضسواء كانت هذه الخطوة تسبق
+
+440
+00:37:24,510 --> 00:37:29,490
+الـ Integration أو بعدها، ليس قضية كتير، لكن بعدها
+
+441
+00:37:29,490 --> 00:37:35,690
+أنسب عشان تقدر أول حاجة تعمل Remove للـ Redundant
+
+442
+00:37:35,690 --> 00:37:40,830
+Attribute القيم المتكررة Redundant Attribute يعني
+
+443
+00:37:40,830 --> 00:37:45,090
+أنا الآن في عندى عمودين بدون نفس الـ Knowledge مثل
+
+444
+00:37:45,090 --> 00:37:52,200
+Date of Birth والـ Ageلاقيت والله أنا في التربية
+
+445
+00:37:52,200 --> 00:37:56,580
+والتعليم باعتمدوا تاريخ ميلاده لكن في وزارتي الصحة
+
+446
+00:37:56,580 --> 00:38:00,140
+باعتمد التقارير أو ال database اللي جاتني بتعتمد
+
+447
+00:38:00,140 --> 00:38:05,680
+على ال age two different attributes هدول بصبت؟ two
+
+448
+00:38:05,680 --> 00:38:08,940
+different attributes من ناحية نام لكن ال meaning
+
+449
+00:38:08,940 --> 00:38:15,020
+تبعتهم المعنى تبعتهم واحدة common وبالتالي أن هدول
+
+450
+00:38:15,020 --> 00:38:20,280
+حرام التنين يظلواتمام؟ لأن أي attribute أنا هضيفه
+
+451
+00:38:20,280 --> 00:38:24,580
+هيمثل more computation شو يعني more computation؟
+
+452
+00:38:24,580 --> 00:38:29,100
+ماتقولليش حساب كتير ايوة يعني ال performance تبع
+
+453
+00:38:29,100 --> 00:38:35,360
+ال system تبعي down، هيقل، ممتاز كذلك، هل كل ال
+
+454
+00:38:35,360 --> 00:38:42,360
+attribute لها علاقة بال .. بالهدف
+
+455
+00:38:42,360 --> 00:38:47,480
+تبعتي؟ على سبيل المثال، أنه يمشي نقول واللهمن ضمن
+
+456
+00:38:47,480 --> 00:38:51,420
+البيانات اللي موجودة هل الوالد يمتلك سيارة أو لا؟
+
+457
+00:38:51,420 --> 00:38:55,500
+الآن
+
+458
+00:38:55,500 --> 00:39:01,860
+فعلاً بدك تدرس بشكل بسيط هل في علاقة بين صحة الولد
+
+459
+00:39:01,860 --> 00:39:07,280
+وتحصيله المدرسة وأبوه عنده سيارة أو لا؟ لأ، المنطق
+
+460
+00:39:07,280 --> 00:39:11,760
+بيقول لأ ولو كلنا صوتنا الآن، عملنا vote تمام، مش
+
+461
+00:39:11,760 --> 00:39:16,920
+صوتنا، صرخنا يعنيفعلياً هنقول لأ مافيش علاقة أو
+
+462
+00:39:16,920 --> 00:39:20,420
+بلاش سيارة أبو طابلون سيارة جيرانهم هي بعيدة تمام
+
+463
+00:39:20,420 --> 00:39:24,140
+.. هي مطلقة .. بعيدة تمام وبالتالي انت هتصير تدور
+
+464
+00:39:24,140 --> 00:39:28,260
+على ال irrelevant attribute طيب مثال على attribute
+
+465
+00:39:28,260 --> 00:39:32,960
+دائما موجود وهو irrelevant هل علاق .. هناك علاقة
+
+466
+00:39:32,960 --> 00:39:41,820
+بين صحة الطالب واسمه أو حص التعليمي ورقم هويته
+
+467
+00:39:41,820 --> 00:39:46,770
+مثلا أو اسمهيعني هل في واحد بدرسش عشان اسمه
+
+468
+00:39:46,770 --> 00:39:55,630
+عبدالكريم مثلا أو خالد أو أحمد؟ هل
+
+469
+00:39:55,630 --> 00:40:01,850
+في واحد ال .. عشان اسمه إياد والله دايما مريض؟
+
+470
+00:40:01,850 --> 00:40:06,190
+طبعا لما أنا اخترت الاسم اخترته بشكل عشوائي ماخطرش
+
+471
+00:40:06,190 --> 00:40:10,830
+في بالي أي حد و بدون ما تنجر أحسن إلكأه يوان
+
+472
+00:40:10,830 --> 00:40:13,930
+وبالتالي
+
+473
+00:40:13,930 --> 00:40:17,670
+.. بالتالي الآن في هذه الـirrelevant attribute أنا
+
+474
+00:40:17,670 --> 00:40:21,990
+بدي أشيلها ليش؟ لأنها فعلياً هي useless مش هتفضلي
+
+475
+00:40:21,990 --> 00:40:25,610
+أو مش هتضيفلي data مطلقاً يعني أنا كمان مرة في ال
+
+476
+00:40:25,610 --> 00:40:30,090
+data selection مهمتي أني أخلص من ال irrelevant
+
+477
+00:40:30,090 --> 00:40:35,770
+attribute وال redundant attribute هدولة لازم إيش
+
+478
+00:40:35,770 --> 00:40:43,870
+أنا أشيلهم أو أحذفهمData Transformation الآن
+
+479
+00:40:43,870 --> 00:40:46,950
+بما أن أحنا بنتكلم على ذيانات أو تأثير الحالة
+
+480
+00:40:46,950 --> 00:40:50,730
+الصحية على تحصيل الطالب أو التلميذ في المرحلة
+
+481
+00:40:50,730 --> 00:40:54,510
+الإبتدائية معناته أنا بدي أسأل نفسي، مين أحسن
+
+482
+00:40:54,510 --> 00:41:03,690
+إليه؟ أتعامل مع تاريخ الميلاد؟ ولا الـ Age؟ عشان
+
+483
+00:41:03,690 --> 00:41:09,020
+أحتفظ بواحد فيهم أنت بدك تحذف واحد منهم الآنانت
+
+484
+00:41:09,020 --> 00:41:14,280
+لازم تحذف واحد منهم تمام؟ بدك تحذف ال age؟ تمام،
+
+485
+00:41:14,280 --> 00:41:17,800
+بدك تحذف ال .. طيب عشان أنا أريحك و أساعدك في
+
+486
+00:41:17,800 --> 00:41:21,860
+النقطة اللي احنا هنجيها بنعمل التفصيل لاحقا لأن يا
+
+487
+00:41:21,860 --> 00:41:27,800
+سيدي العزيز عدد ال distinct values اللي موجودة في
+
+488
+00:41:27,800 --> 00:41:32,120
+ال attribute هده جداش كبير
+
+489
+00:41:32,120 --> 00:41:38,450
+فعليا هيكونأكبر من عدد .. تلاتمية موجدتش يا حسن ..
+
+490
+00:41:38,450 --> 00:41:44,690
+يا حسن تلاتمية خمسة وستين لأ انت .. انت اتكلمت على
+
+491
+00:41:44,690 --> 00:41:48,390
+أيام السنة وفي .. وفي .. وفي تقاطعات بينهم في طلاب
+
+492
+00:41:48,390 --> 00:41:52,990
+موجودين في نفس اليوم مافيش مشكلة طبعا وفي موجودين
+
+493
+00:41:52,990 --> 00:41:56,510
+في نفس اليوم من الشهر لكن في السنة الأخرى فالعدد
+
+494
+00:41:56,510 --> 00:42:01,770
+هنا كبير جدا و هو حتما أكبر بكتير من ال age لأن لو
+
+495
+00:42:01,770 --> 00:42:09,830
+اتكلمت على ال ageمعناته هتتكلم من خمسة ..
+
+496
+00:42:09,830 --> 00:42:15,190
+سابق .. سابق ابتدائي من عند .. اتناش أو تلت ناش ..
+
+497
+00:42:15,190 --> 00:42:17,310
+مش .. مش هاخدل .. مش هاخدل في الكتير أنا وياك
+
+498
+00:42:17,310 --> 00:42:24,950
+اربعة اتناش كام distinct value موجودة؟ تسعة بالله
+
+499
+00:42:24,950 --> 00:42:29,490
+عليك تتعامل أو تدور على pattern على تسعة قيم
+
+500
+00:42:29,490 --> 00:42:33,550
+مختلفة ولا تدور على pattern فيه عدد كبير انت مش
+
+501
+00:42:33,550 --> 00:42:34,210
+قادر تحصره
+
+502
+00:42:37,540 --> 00:42:42,180
+انت ايش؟ يعني انت متوقع .. ايوة شوية انت متوقع ان
+
+503
+00:42:42,180 --> 00:42:45,780
+الولد اتنين .. ان الولد مثلا في شهر اتنين هم اكثر
+
+504
+00:42:45,780 --> 00:42:50,100
+ذكاء من الولد في شهر تلاتة؟
+
+505
+00:42:50,100 --> 00:42:53,880
+شوف انت ممكن تعمل دراسة بس انت الآن هل هذا هو ال
+
+506
+00:42:53,880 --> 00:42:56,940
+pattern اللي احنا بندور عليه؟ لأ مين قال هذا
+
+507
+00:42:56,940 --> 00:42:59,920
+الكلام؟ انت فعليا لدورت في كل علماء العالم
+
+508
+00:42:59,920 --> 00:43:04,160
+هتلاقيهم موزعين على أشهر السنة لأن مع الاعتقاد
+
+509
+00:43:04,160 --> 00:43:10,380
+الجازين ان ال ..العقول فيها جزء منها من الله تبارك
+
+510
+00:43:10,380 --> 00:43:15,640
+وتعالى لكن أكتر من 90 أو 95% جد واجتهاد والجد
+
+511
+00:43:15,640 --> 00:43:20,760
+والاجتهاد ده مش مرتبط بالشهر اللي أنا ولدت فيه ولا
+
+512
+00:43:20,760 --> 00:43:26,960
+بالساعة بين جثم .. مالوش داعش بالأبراج شوف
+
+513
+00:43:26,960 --> 00:43:30,120
+ممكن أنت تعمل دراسة و تشوف أنت فعليا شوف أنت لما
+
+514
+00:43:30,120 --> 00:43:34,620
+بتكون معني بتصير تدور، بتصير تنبش و تدور الآن هذه
+
+515
+00:43:34,620 --> 00:43:38,620
+بيانات قدامكبس في الآخر اللي بطرحه راني هان هو
+
+516
+00:43:38,620 --> 00:43:43,680
+فعليا relevant لل task تبعته اه بس اللي أنا بتكلم
+
+517
+00:43:43,680 --> 00:43:50,440
+فيه الشهر مالهوش داخل في الموضوع طيب الان ممتاز
+
+518
+00:43:50,440 --> 00:43:57,040
+احنا بتكلم هان على تسع قيم مختلفة nine distinct
+
+519
+00:43:57,040 --> 00:44:05,070
+values تسعة و تسعة تسعة distinct values عندي هانطب
+
+520
+00:44:05,070 --> 00:44:08,810
+لو .. ممكن يصيروا تلاتة هدول؟ ممكن تقريبا تقريبا
+
+521
+00:44:08,810 --> 00:44:12,570
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+522
+00:44:12,570 --> 00:44:15,130
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+523
+00:44:15,130 --> 00:44:18,530
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+524
+00:44:18,530 --> 00:44:20,970
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+525
+00:44:20,970 --> 00:44:20,970
+تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا
+
+526
+00:44:20,970 --> 00:44:31,690
+تقريبا تقريبا تقريبا تقريب
+
+527
+00:44:33,740 --> 00:44:37,680
+من الناس اللي بتعد بالملايين مثل سوريا ولبنان
+
+528
+00:44:37,680 --> 00:44:47,020
+وقولّك راتبه 15 مليون وسبعمية وخمسين ألف ليرة سوري
+
+529
+00:44:47,020 --> 00:44:52,820
+كده صح؟ 15
+
+530
+00:44:52,820 --> 00:44:57,740
+مليون وسبعمية وخمسين ألف ليرة مش شكتش ..شو؟ ماليش
+
+531
+00:44:57,740 --> 00:45:02,770
+دخل بالقيمةبس تخيل .. تخيل انك انت بتعمل عمليات
+
+532
+00:45:02,770 --> 00:45:09,910
+حسابية على أرقام بالضخامة هاي اه بالضبط فمطلوب مني
+
+533
+00:45:09,910 --> 00:45:15,250
+ان احورها بدون ما افقد قيمتها واحد يقترح عليا
+
+534
+00:45:15,250 --> 00:45:24,850
+احولها لدولار اكتب الف يعني مثلا طيب
+
+535
+00:45:28,240 --> 00:45:33,700
+تقريت .. تقريت .. هذه 16 مليون مثلا شو رايكوا لو
+
+536
+00:45:33,700 --> 00:45:36,640
+قررت أخلص من ال 100 ألف هدول أو العشرة ألاف هدول
+
+537
+00:45:36,640 --> 00:45:41,620
+الأربع أسفار أو
+
+538
+00:45:41,620 --> 00:45:45,460
+بروح بعملهم discretization تبع للفئة الراتب هذا من
+
+539
+00:45:45,460 --> 00:45:50,080
+عدد عالي و لا متوسط و لا منخفض قالولي والله منخفض
+
+540
+00:45:50,080 --> 00:45:54,160
+و حطه في فئة المنخفض خلاص لأن بصير ال value نفسها
+
+541
+00:45:54,160 --> 00:45:58,640
+مش ذات قيمة إليطبعا ممكن في لحظة من اللحظات ال
+
+542
+00:45:58,640 --> 00:46:02,240
+system يجبرني إن أنا بتتعامل مع الرقم بس يبقى
+
+543
+00:46:02,240 --> 00:46:04,900
+الرقم هذا كبير بقولك okay أنا والله بدأ أروح
+
+544
+00:46:04,900 --> 00:46:13,300
+أستبدله ب 15 point 75 في العمليات الحسابية أسهل
+
+545
+00:46:13,300 --> 00:46:20,110
+وأبسط من أن أتعامل مع الرقم هذا، ولا لا؟بقدر أرجع
+
+546
+00:46:20,110 --> 00:46:23,530
+وقت ما بدي للحجم اللي أنا بديها وبالتالي الـ Data
+
+547
+00:46:23,530 --> 00:46:29,370
+Transformation شغلة مهمة وأساسية في موضوع الـ Data
+
+548
+00:46:29,370 --> 00:46:34,210
+Mining لاحظ الـ Cleaning الـ Integration الـ
+
+549
+00:46:34,210 --> 00:46:37,470
+Selection الـ Transformation لسه ما وصلتش لـ الـ
+
+550
+00:46:37,470 --> 00:46:42,770
+Mining أنا كله عمالي بحاول أجهز لل Data قاعد بعمل
+
+551
+00:46:42,770 --> 00:46:49,550
+الـ Pre Processing لل Data بعد هيك بنتقلالـ Data
+
+552
+00:46:49,550 --> 00:46:57,270
+Mining أول
+
+553
+00:46:57,270 --> 00:47:02,750
+مرحلة التنقيب الحقيقية الآن في المرحلة هذه المفروض
+
+554
+00:47:02,750 --> 00:47:06,910
+أنا بدي أستخدم مجموعة من الـ Algorithm ومش أي
+
+555
+00:47:06,910 --> 00:47:11,070
+Algorithm أو مش أي قرق هي الـ Intelligent Method
+
+556
+00:47:11,070 --> 00:47:14,450
+اللي علاقة بالذكاء الصناعي بالـ Machine Learning
+
+557
+00:47:14,450 --> 00:47:18,080
+بحيث إن هو اللي بدي يدور على ال patternلو أنا
+
+558
+00:47:18,080 --> 00:47:20,700
+سألتك جديش استغلقت وقت وانت بتدور على ال two
+
+559
+00:47:20,700 --> 00:47:22,760
+patterns ال pattern الأول كان سهل لأنه مميزك يا
+
+560
+00:47:22,760 --> 00:47:28,020
+بالأحمر أنا صادقا بالمثال السابق لكن جديش أخدت
+
+561
+00:47:28,020 --> 00:47:30,080
+وجهتك أنه وانت بتدور على ال pattern التاني و
+
+562
+00:47:30,080 --> 00:47:34,920
+بتحاول تصيغه خدت وجه طويل كل نص دقيقة دقيقة مش
+
+563
+00:47:34,920 --> 00:47:39,840
+قضية وجه طويل الآن هدولة خمسة رو تلت أعمدة بينما
+
+564
+00:47:39,840 --> 00:47:42,140
+ممكن تكون ال data set اللي عندك فيها مائة ألف
+
+565
+00:47:42,140 --> 00:47:47,740
+record وفيها عشرة attributeأه الـ Visualization
+
+566
+00:47:47,740 --> 00:47:52,100
+بريحك عشان تفهم بس بيعرضكاش كل شيء ليش؟ لأنه لما
+
+567
+00:47:52,100 --> 00:47:56,320
+تتكلم على عشر Attributes أنت maximumly تقدر تظهر
+
+568
+00:47:56,320 --> 00:47:59,800
+العلاقة بين three attributes في الـ 3D بعد هيك
+
+569
+00:47:59,800 --> 00:48:06,810
+قلصنا ففعليا ندخل في تحدي جديدإنه أنا ما بقدر أعمل
+
+570
+00:48:06,810 --> 00:48:10,610
+analysis على عشر attributes ميت الف raw عشان أدور
+
+571
+00:48:10,610 --> 00:48:14,270
+على pattern معين إيش الحل؟ بدي intelligent method
+
+572
+00:48:14,270 --> 00:48:18,470
+تشتغلها طبعا ال machine learning بتخدمني بشكل كبير
+
+573
+00:48:18,470 --> 00:48:22,170
+مفرال مجموعة من ال method زي ال neural network ال
+
+574
+00:48:22,170 --> 00:48:25,070
+decision tree وال association rules ال algorithms
+
+575
+00:48:25,070 --> 00:48:31,370
+اللي هندرسهم لاحقاطبعاً عملنا binding لحظة وكلمتين
+
+576
+00:48:31,370 --> 00:48:34,670
+ومرينا هي ال data mining ماقفلاش عندها كتير يعني
+
+577
+00:48:34,670 --> 00:48:38,970
+بنجو سين أنا مش حبدع أو مش هنتج أو مش مسئوليتي
+
+578
+00:48:38,970 --> 00:48:43,150
+إنتاج method جديدة كل اللي أنا بديها في المرحلة
+
+579
+00:48:43,150 --> 00:48:47,570
+هاي هي عبارة عن عملية التنقيب اللي بتقوم فيها
+
+580
+00:48:47,570 --> 00:48:52,210
+الأدوات اللي صنعت ليها الشركاتفالـ Machine
+
+581
+00:48:52,210 --> 00:48:55,650
+Learning و الـ AI بتزودوني الـ Machine Learning
+
+582
+00:48:55,650 --> 00:48:58,930
+بالتحديد كفرع من الـ AI بتزودني بالـ method فانا
+
+583
+00:48:58,930 --> 00:49:02,030
+بدأ أعرف إيش ال method و أعرف أستخدمها بشكل صحيح
+
+584
+00:49:02,030 --> 00:49:12,210
+الآن حصلت على pattern ال pattern هذا must be must
+
+585
+00:49:12,210 --> 00:49:18,230
+be useful must be valid قبل ال useful فخلّيك معانا
+
+586
+00:49:18,230 --> 00:49:20,090
+و ماتصرحوش أهي يا شباب
+
+587
+00:49:25,910 --> 00:49:32,070
+لو جارك سرحان وجته سرح وبدك تعمل mining على ال
+
+588
+00:49:32,070 --> 00:49:36,750
+situation اللي هو فيها إيش ال knowledge اللي بتطلع
+
+589
+00:49:36,750 --> 00:49:41,970
+فيها مباشرة محمد الكحلوت عمال بيقول لي بلاش آه ..
+
+590
+00:49:41,970 --> 00:49:50,590
+آه يا شباب .. جعان .. بتتجوز .. كان نام تأخر
+
+591
+00:49:54,230 --> 00:49:56,470
+كيف بده ينجح في المادة؟ مشكلة إذا كنت بده يفكر كيف
+
+592
+00:49:56,470 --> 00:49:58,630
+بده ينجح في المادة لأن المفروض النجاح أكمل لك
+
+593
+00:49:58,630 --> 00:50:02,370
+إيديك إلا إذا كان ده بال cash تنجح مش تاني المفروض
+
+594
+00:50:02,370 --> 00:50:05,670
+تقولي بفكر كيف أجيب علامات كاملة في المادة الأصل
+
+595
+00:50:05,670 --> 00:50:13,210
+كده طيب ورا خمس ولاد بيطعميهم الفلوس خلصت تمام؟
+
+596
+00:50:13,210 --> 00:50:18,510
+okay يعني ممكن تعمل mining بناء على المتاح بس هذا
+
+597
+00:50:18,510 --> 00:50:25,100
+مش mining هذا تخمين guessingتمام؟ ليش؟ لأن انت
+
+598
+00:50:25,100 --> 00:50:30,460
+فعليا لا تمتلك معلومات معلومات عنه لو أنت فعليا
+
+599
+00:50:30,460 --> 00:50:38,100
+كنت قريب جدا منه تمام؟ و لاجيته سرح مباشرة هتنبهه
+
+600
+00:50:38,100 --> 00:50:42,700
+فالآن أنا بدي أصل لمرحلة evaluation بدي أتأكد إن
+
+601
+00:50:42,700 --> 00:50:46,700
+هل هذا ال pattern اللي أنا سنبطه valid ولا invalid
+
+602
+00:50:46,700 --> 00:50:52,180
+طيب، الآنبدي أعمل evaluation لل knowledge أو لل ..
+
+603
+00:50:52,180 --> 00:50:56,080
+عفوا لل pattern اللي طلع عندي عشان أقدر أقيم فعلا
+
+604
+00:50:56,080 --> 00:51:00,980
+هو جداش صحيح بناء على إيش بدي أعمل evaluation يا
+
+605
+00:51:00,980 --> 00:51:06,740
+شباب فعليا زي ما قلنا سابقا بدي يكون في عندي بعض
+
+606
+00:51:06,740 --> 00:51:11,180
+ال cases الحقيقية اللي فعليا لما اجه في ثغورس قالك
+
+607
+00:51:11,180 --> 00:51:18,670
+لأي مثلث قائم الزاويةجالك هات أي مثلّف قايم إزاي
+
+608
+00:51:18,670 --> 00:51:23,370
+وطبّق عليه بالقياسات اللي هو عرضها أو بالقياسات
+
+609
+00:51:23,370 --> 00:51:27,630
+اللي أنت بتخطر على بالك بس شرطه كان قايم إزاي
+
+610
+00:51:27,630 --> 00:51:30,770
+وانتهى الأمر فهذه الـ validation هي الأساس اللي
+
+611
+00:51:30,770 --> 00:51:33,570
+إحنا بندور ال evaluation اللي إحنا بندور عليها
+
+612
+00:51:33,570 --> 00:51:38,250
+فهنا أنا بدأ أروح أدور على ال pattern تبعي هذا
+
+613
+00:51:38,250 --> 00:51:43,890
+تمام؟ وأعمله evaluation ماينساش إنه كان في التعريف
+
+614
+00:51:43,890 --> 00:51:45,490
+بقول valid يعني true
+
+615
+00:51:50,230 --> 00:51:54,170
+«Novel» «Useful» أو «Actionable» نفس المعنى
+
+616
+00:51:54,170 --> 00:51:57,870
+تقريبًا لأ «Useful» يعني بقدر أبني عليه Action و
+
+617
+00:51:57,870 --> 00:51:59,990
+«Actionable» يعني بدي أخد عليه Action يعني هو
+
+618
+00:51:59,990 --> 00:52:02,690
+البتن من هذا مفيد، مصبوط؟ نفس المعنى
+
+619
+00:52:02,690 --> 00:52:06,190
+«Understandable» إن الناس بتقدر تفهمه بالكلام اللي
+
+620
+00:52:06,190 --> 00:52:10,450
+موجود عندها آخر نقطة كانت عندها في الهرم أو عفوا
+
+621
+00:52:10,450 --> 00:52:13,150
+في الخطوات اللي هي نقطة 8 الـ Knowledge
+
+622
+00:52:13,150 --> 00:52:18,450
+Presentation «بنفعش أروح أعرض Data»أنا خلصتها لإن
+
+623
+00:52:18,450 --> 00:52:25,010
+أنا بدي أعرض معرفة زي ما جالك .. جالك
+
+624
+00:52:25,010 --> 00:52:28,690
+هاي A، هاي B، هاي C مُثلَف قائم زائد، جالك C تربيع
+
+625
+00:52:28,690 --> 00:52:34,070
+بقى تساوي A تربيع زائد B تربيع، خلصنا، هذا أفضل
+
+626
+00:52:34,070 --> 00:52:34,510
+presentation
+
+627
+00:52:37,160 --> 00:52:40,240
+لما انا بقول لو احنا قلنا لك في The Horse Gal ان
+
+628
+00:52:40,240 --> 00:52:47,080
+طول الوتر ترديع يساوي مجموع مربعات الأضلع كلام
+
+629
+00:52:47,080 --> 00:52:51,000
+صحيح لكن ممكن يطلع لي واحد فاهم خالص ويقول ليش
+
+630
+00:52:51,000 --> 00:52:56,580
+يعني أي أضلع ضلعي الزاوية القايم ضلعي الزاوية
+
+631
+00:52:56,580 --> 00:52:59,460
+القايم هذا السؤال مابدوشش او مابدوش السؤال لأنه
+
+632
+00:52:59,460 --> 00:53:01,500
+ماضالش فيه غير الضلعين هدول لإن احنا نتكلم قاعدين
+
+633
+00:53:01,500 --> 00:53:06,080
+على مثلث مظبوط ولا لأ وبالتالي لكن هيكهذا أفضل
+
+634
+00:53:06,080 --> 00:53:10,220
+presentation الكل بيفهمه .. الكل بيفهمه و ال
+
+635
+00:53:10,220 --> 00:53:13,200
+presentation .. و طول عمرنا بنتعلم إن الصورة زي ما
+
+636
+00:53:13,200 --> 00:53:16,660
+قال قبل شوية خيره من ألف كلمة فلمّا قلنا ماقدرش
+
+637
+00:53:16,660 --> 00:53:19,020
+أعرض ده تكبيرة ممكن أقل الصور بعمل visualization
+
+638
+00:53:19,020 --> 00:53:23,040
+ماقدرش أقول أعمل visualization لكل إشي لكن إذا
+
+639
+00:53:23,040 --> 00:53:27,760
+قدرت أصل لمرحلة إنه أقدر أعرض صورة فهذا بيكون عنده
+
+640
+00:53:27,760 --> 00:53:29,400
+إيش؟ أفضل presentation
+
+641
+00:53:32,320 --> 00:53:36,940
+الآن الـ data mining و في الـ business
+
+642
+00:53:36,940 --> 00:53:41,680
+intelligence فعليا أنا فيه عندى data موجودة في
+
+643
+00:53:41,680 --> 00:53:46,100
+different sources و كانت database أو websites أو
+
+644
+00:53:46,100 --> 00:53:50,820
+files كذلك ال data هذه بدون عملها pre-processing و
+
+645
+00:53:50,820 --> 00:53:56,710
+integration بعد هيك هتعمل بعض الاستكشافاتأو
+
+646
+00:53:56,710 --> 00:53:59,850
+استكشاف على الـ data اللي موجودة عندهان أعمل بعض
+
+647
+00:53:59,850 --> 00:54:04,630
+الـ summary أو الـ statistical queries وهذا الشغل
+
+648
+00:54:04,630 --> 00:54:07,810
+كله ياته تقريبًا، يعني في الأول واتنين لل database
+
+649
+00:54:07,810 --> 00:54:10,730
+administrator وال database developers اللي
+
+650
+00:54:10,730 --> 00:54:15,090
+بيشتغلوا معاها الآن ال data exploration وال data
+
+651
+00:54:15,090 --> 00:54:20,550
+mining شغل ال data analyst المفروض الآن data
+
+652
+00:54:20,550 --> 00:54:22,950
+presentation يعني أنا بتكلم على business analyst
+
+653
+00:54:22,950 --> 00:54:26,970
+لأن هو فاهم إن الناس دول إشي بيفهمهوانت بتقدّم لهم
+
+654
+00:54:26,970 --> 00:54:29,370
+الـ data أو تعرض لهم الـ knowledge باللغة اللي
+
+655
+00:54:29,370 --> 00:54:35,510
+بيفهموها في الآخر بدون عمل صناعة أو يتخذ قرار من
+
+656
+00:54:35,510 --> 00:54:41,570
+عند الـ end user يعني فعليا الـ data mining هي جزء
+
+657
+00:54:41,570 --> 00:54:48,410
+في هرم اتخاذ القرار و بتبدأ زي ما قلنا من ال raw
+
+658
+00:54:48,410 --> 00:54:55,820
+data لما يتوصل أنه أنا بيحتاج لـ that decisionتمام
+
+659
+00:54:55,820 --> 00:54:59,020
+الأمور يا شباب في الخطوات السابقة يعني كمان مرة
+
+660
+00:54:59,020 --> 00:55:05,460
+ألخصهم في عندى تمان خطوات تمان خطوات من أجل الوصول
+
+661
+00:55:05,460 --> 00:55:09,500
+إلى المعرفة باعتمادنا على ال data mining تمام
+
+662
+00:55:09,500 --> 00:55:16,740
+الأولى data cleaning data selection data
+
+663
+00:55:16,740 --> 00:55:20,900
+integration data transformation data mining
+
+664
+00:55:20,900 --> 00:55:27,740
+الخامسة مصبوطالسادسة Pattern Evaluation تمام؟
+
+665
+00:55:27,740 --> 00:55:33,420
+والسبعة Knowledge Presentation الـ Knowledge
+
+666
+00:55:33,420 --> 00:55:41,100
+Presentation إيش السابعة طيب؟ فش السابعة؟ حلو أنا
+
+667
+00:55:41,100 --> 00:55:49,480
+غلطان في العدد يعني بس سبعة ده تمام، الآن ليش ال
+
+668
+00:55:49,480 --> 00:55:53,920
+data mining لازم يكون multidisciplinary field؟مجال
+
+669
+00:55:53,920 --> 00:56:00,400
+تنقيب البيانات لازم يكون بيحتوي على علوم أخرى في
+
+670
+00:56:00,400 --> 00:56:03,960
+داخله أولًا،
+
+671
+00:56:03,960 --> 00:56:07,460
+أولًا بالذنب يتعامل مع البيانات عشان التعامل مع
+
+672
+00:56:07,460 --> 00:56:10,880
+البيانات، بمعنى أن أنا بتتكلم على database بدي
+
+673
+00:56:10,880 --> 00:56:14,920
+أحشو database وكيف ممكن أعمل integration، ولا لأ؟
+
+674
+00:56:14,920 --> 00:56:18,580
+عشان أتعامل مع البيانات و أقدر أعملها cleaning بدي
+
+675
+00:56:18,580 --> 00:56:23,060
+أكون أعرف برمجة، عشان مش معقول أنا بدي أدور علىraw
+
+676
+00:56:23,060 --> 00:56:27,600
+raw أو value value وبالتالي أنا بحاجة أن أعمل
+
+677
+00:56:27,600 --> 00:56:31,440
+برنامج هو يدور على ال missing values وياخد فيها
+
+678
+00:56:31,440 --> 00:56:35,400
+قرار يعبيها أو بدي أعمل برنامج يروح يدور لي يقول
+
+679
+00:56:35,400 --> 00:56:38,860
+لي والله هي ال noisy values في ال attribute
+
+680
+00:56:38,860 --> 00:56:43,620
+الفلاني لأن بينجوسين الشباب ال summary تبعت ال
+
+681
+00:56:43,620 --> 00:56:48,620
+query أو ال statistics هذا الكلام مابدينيش نتيجة
+
+682
+00:56:50,400 --> 00:56:58,480
+الآن فالـ Data Mining بتستخدم العديد من التوجهات
+
+683
+00:56:58,480 --> 00:57:01,880
+أو المساقات مثل الـ Machine Learning وهذه أهميتها
+
+684
+00:57:01,880 --> 00:57:05,320
+أنها بتوفر لمجموعة من الـ Smart Algorithms للتعامل
+
+685
+00:57:05,320 --> 00:57:09,420
+مع أو لاستنباط الـ Pattern الجديدة الـ Pattern
+
+686
+00:57:09,420 --> 00:57:12,520
+Recognition في عندي علوم مخصصة بس عشان يقوللي هذا
+
+687
+00:57:12,520 --> 00:57:19,200
+نمط اتعرف أن هذانمط الـ Statistics بحتاج تتعامل مع
+
+688
+00:57:19,200 --> 00:57:22,200
+الإحصاء بحتاج تتعامل مع ال database و ال
+
+689
+00:57:22,200 --> 00:57:24,480
+visualization زي ما قلنا من أجل ال presentation
+
+690
+00:57:24,480 --> 00:57:30,040
+الآن هذه العلاقات تقريبا كل العلوم يعني كل العلوم
+
+691
+00:57:30,040 --> 00:57:35,060
+عمالها بتزيد و بتدفع باتجاه علم التنقيب البيانات
+
+692
+00:57:35,060 --> 00:57:39,860
+زي ما احنا عمال لا بنحكي الآن فعليا ليش هذا
+
+693
+00:57:39,860 --> 00:57:43,160
+الكلام؟ لأن فعليا أنا عندي بيانات ضخمة جدا و ال
+
+694
+00:57:43,160 --> 00:57:48,030
+algorithm اللي بده يتعامل معاهادائما الـ Algorithm
+
+695
+00:57:48,030 --> 00:57:51,790
+يا شباب فيه evaluation و لا لأ الـ Big O تبعته في
+
+696
+00:57:51,790 --> 00:57:55,490
+ال worst case لما أنا بتكلم مع ال Algorithm ليش في
+
+697
+00:57:55,490 --> 00:57:58,210
+عندي worst case و best case؟ مش عشان ال
+
+698
+00:57:58,210 --> 00:58:00,230
+performance عشان أقدر أعمل evaluation لل
+
+699
+00:58:00,230 --> 00:58:02,950
+performance طب و هذا ال performance تبعي مرتبط
+
+700
+00:58:02,950 --> 00:58:09,590
+دائما بال N بعدد المدخلات تبعتي طب أنا بتكلم على
+
+701
+00:58:09,590 --> 00:58:13,890
+huge data بتكلم على 100 ألف record أو مليون record
+
+702
+00:58:13,890 --> 00:58:19,070
+أحيان أو يمكن أكثرأقول لك لما بتتعامل مع الصور و
+
+703
+00:58:19,070 --> 00:58:21,830
+بتكتب الـ mining في داخل الصور تخيل إن حجم الصورة
+
+704
+00:58:21,830 --> 00:58:28,110
+1024×1024 لو
+
+705
+00:58:28,110 --> 00:58:31,450
+كان في عندك 100 ألف صورة هدولة بمثل عدد الـ
+
+706
+00:58:31,450 --> 00:58:34,410
+attributes عدد ال pixels اللي موجودة لو كل pixel
+
+707
+00:58:34,410 --> 00:58:37,950
+بدها تكون عمود فهي عدد ال attribute اللي عندك فإذا
+
+708
+00:58:37,950 --> 00:58:41,490
+ماكانش ال algorithm اللي عندك scalable algorithm و
+
+709
+00:58:41,490 --> 00:58:47,090
+قادر على التعامل مع البيانات الضخمةمعناته انتش ال
+
+710
+00:58:47,090 --> 00:58:49,390
+algorithm تبعك مش هتقدر تشغل و ال performance
+
+711
+00:58:49,390 --> 00:58:55,590
+هيكون سيئ جدا في المقابل أنا الأن بدي أشتغل مع هيك
+
+712
+00:58:55,590 --> 00:58:58,030
+لازم يكون ال algorithm يكون موجود عندي زي ما قلت
+
+713
+00:58:58,030 --> 00:59:03,450
+لك ضخم ال high dimensionality of data الأن كلنا
+
+714
+00:59:03,450 --> 00:59:09,010
+بنعرف ال arrays لو أنا أجيت و قلتلك في عندي مصفوفة
+
+715
+00:59:09,010 --> 00:59:13,510
+1D و بدي أعمل لها sort
+
+716
+00:59:19,040 --> 00:59:22,720
+تقدرش ال algorithm تعمل بده و ا get؟ هان تربيع أو
+
+717
+00:59:22,720 --> 00:59:24,180
+هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان
+
+718
+00:59:24,180 --> 00:59:26,080
+لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟
+
+719
+00:59:26,080 --> 00:59:30,600
+هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان
+
+720
+00:59:30,600 --> 00:59:33,480
+تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع
+
+721
+00:59:33,480 --> 00:59:35,580
+أو هان لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان
+
+722
+00:59:35,580 --> 00:59:36,080
+لوب؟ هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟
+
+723
+00:59:36,080 --> 00:59:42,100
+هان تربيع أو هان لوب؟ هان تربيع أو هان لوب؟ هان
+
+724
+00:59:42,100 --> 00:59:47,790
+تربيع أو هان لوب؟ هان تربيأرتب عناصرها بحيث أنه لو
+
+725
+00:59:47,790 --> 00:59:53,350
+افترضت أنه فيها تسع عناصر هنا بحيث أن العنصر هذا
+
+726
+00:59:53,350 --> 01:00:02,250
+يكون أصغر أو يساوي العنصر اللي هنا يعني بين جسين
+
+727
+01:00:02,250 --> 01:00:06,030
+عناصر المصفوفة بيكون الصف الأول أصغر من الصف
+
+728
+01:00:06,030 --> 01:00:12,190
+التاني أنت كعيب وممكن يكون أكتر، مظبوط ولا لأ؟
+
+729
+01:00:12,190 --> 01:00:21,340
+طيب، لو أنابقولك الـ 3D Array لاحظ
+
+730
+01:00:21,340 --> 01:00:27,180
+أنه كل ما أضفت بُعد جديد الـ algorithm تابعي بدي
+
+731
+01:00:27,180 --> 01:00:30,440
+يصير عليه complexity أكتر طبعا ال data اللي أنا
+
+732
+01:00:30,440 --> 01:00:32,860
+جايبها من different resources هدول ما هو كل واحد
+
+733
+01:00:32,860 --> 01:00:35,080
+ممكن في لحظة من اللحظات يشكل بُعد بالنسبة لي
+
+734
+01:00:35,080 --> 01:00:39,660
+وبالتالي الـ high dimensionality of data، تمام؟ هي
+
+735
+01:00:39,660 --> 01:00:41,300
+مشكلة بالنسبة لي طيب
+
+736
+01:00:44,690 --> 01:00:49,410
+كذلك الـ Complexity تعقيد البيانات اللي موجودة مش
+
+737
+01:00:49,410 --> 01:00:53,170
+كل البيانات Alpha Numeric احنا كلنا تعاملنا لحد
+
+738
+01:00:53,170 --> 01:00:56,890
+اللحظة مع الـ Alpha Numeric Data في ال database،
+
+739
+01:00:56,890 --> 01:01:02,370
+مصبوط؟ طب وين الصور؟ وين الـ Multimedia بشكل عام؟
+
+740
+01:01:02,370 --> 01:01:05,530
+طب هذا النوع التاني برضه بنفهم الصور Pixels طب و
+
+741
+01:01:05,530 --> 01:01:11,010
+الصوت؟ موجات؟ Okay موجات تعالي يا باشا قولي شوف
+
+742
+01:01:11,010 --> 01:01:17,390
+الـ Time Series Dataفي عند بعض البيانات تتسم بالـ
+
+743
+01:01:17,390 --> 01:01:21,650
+Series تبع للوقت، يعني التسلسل للوقت فيها أساسي
+
+744
+01:01:21,650 --> 01:01:27,650
+بالمناسبة، أنت عندك واجب نعمل فيه discussion في
+
+745
+01:01:27,650 --> 01:01:30,430
+المحاضرة الجاية الـ data اللي باللون الأزرق هاي
+
+746
+01:01:30,430 --> 01:01:36,800
+سجل عندك على الدفتر الـ Time Series DataTemporal
+
+747
+01:01:36,800 --> 01:01:41,840
+data، Sequence data والـ Special data بدي تعجبلي
+
+748
+01:01:41,840 --> 01:01:44,160
+definition لكل واحدة فيهم بداية المحاضرة الجاية
+
+749
+01:01:44,160 --> 01:01:47,300
+تمام؟
+
+750
+01:01:47,300 --> 01:01:51,440
+هذه أنواع بيانات مختلفة إشي إله علاقة بالجغرافيا،
+
+751
+01:01:51,440 --> 01:01:54,920
+إشي إله علاقة بالصوت، إشي إله علاقة بالصور، إشي
+
+752
+01:01:54,920 --> 01:01:57,860
+إله علاقة بالأسهم، إشي إله علاقة بالـ فالبيانات مش
+
+753
+01:01:57,860 --> 01:02:04,000
+زي ما أنا بتخيلها واحد و A و B و ألف و با، لأفهي
+
+754
+01:02:04,000 --> 01:02:07,240
+عندي أنواع كبيرة من البيانات وانا مقلوب مني يكون
+
+755
+01:02:07,240 --> 01:02:11,740
+عندي المقدرة على التنقيب فيها كلياتها فلازم أقدر
+
+756
+01:02:11,740 --> 01:02:14,520
+أفهم البيانات اللي موجودة عندي هنا طب عشان أقدر
+
+757
+01:02:14,520 --> 01:02:18,360
+أفهمها و أتعامل معاها معناته لازم يكون عندي معرفة
+
+758
+01:02:18,360 --> 01:02:25,800
+بالعلوم المختلفة مثال على علاقة ال statistics عفوا
+
+759
+01:02:25,800 --> 01:02:30,260
+بال data mining ال statistics هي إحصاءزود الـ Data
+
+760
+01:02:30,260 --> 01:02:33,300
+Mining والـ Machine Learning من قبلها بمجموعة من
+
+761
+01:02:33,300 --> 01:02:37,540
+العناصر مثال في عند الـ Naive Bias هي واحدة من الـ
+
+762
+01:02:37,540 --> 01:02:39,240
+Classification Methods الموجودة في الـ Machine
+
+763
+01:02:39,240 --> 01:02:44,660
+Learning وفي عند الـ Maximum Entropy عشان يحدد،
+
+764
+01:02:44,660 --> 01:02:50,480
+خدنا نقول القيم المثلة في الاحتمالات لكن هل
+
+765
+01:02:50,480 --> 01:02:54,740
+الإحصائي بتخدمني في كل مكان؟ لأ، الآن الإحصائي
+
+766
+01:02:54,740 --> 01:02:58,860
+بتشتغل مع Methods
+
+767
+01:02:59,900 --> 01:03:02,660
+والـ method معروف أن تتعملت معاها في الـ database
+
+768
+01:03:02,660 --> 01:03:07,040
+لو أنا سألت السؤال التالي هل بقدر أطبق كل الـ
+
+769
+01:03:07,040 --> 01:03:10,420
+method تبعة الإحصاء على كل الـ method يحصل؟ سؤالي،
+
+770
+01:03:10,420 --> 01:03:14,460
+هل الطرق الإحصائية أو الدوال الإحصائية اللي
+
+771
+01:03:14,460 --> 01:03:21,240
+بنعرفها تطبق على كل أنواع البيانات؟ لو أنا قلتلك
+
+772
+01:03:21,240 --> 01:03:24,900
+على سبيل المثال الـ maximum لو أنا روحت قلتلك الـ
+
+773
+01:03:24,900 --> 01:03:29,800
+maximum nameSelect the maximum name from the
+
+774
+01:03:29,800 --> 01:03:35,780
+student table لأ بيقدر برجعلك بناء على إيش؟ على ال
+
+775
+01:03:35,780 --> 01:03:39,200
+length تمام؟ وعلى ال value تبعت الكاركتر لإنه فيه
+
+776
+01:03:39,200 --> 01:03:42,120
+مقارنة لما انت عارف ال ask code تبعتهم لكن شو
+
+777
+01:03:42,120 --> 01:03:47,200
+الفايدة منها؟ حطها في مقارنة مع ال maximum salary
+
+778
+01:03:47,200 --> 01:03:53,060
+هتلاقي نفسك بكل بساطة هتقوللي إن والله ال
+
+779
+01:03:53,060 --> 01:03:57,360
+statistics فقط بتشتغل معالـ Numeric Data ومالهاش
+
+780
+01:03:57,360 --> 01:04:02,080
+دخل في الشغلات الدانية Minimum، Maximum،
+
+781
+01:04:02,080 --> 01:04:07,780
+Summation، Average، الـ Standard Deviation كل الـ
+
+782
+01:04:07,780 --> 01:04:11,440
+Statistical Method بتشتغل على أرقام، بتتعاملش معها
+
+783
+01:04:11,440 --> 01:04:14,720
+الوحدة، الدالة الوحيدة اللي ممكن يكونها علاقة
+
+784
+01:04:14,720 --> 01:04:18,460
+بالشغلات الدانية اللي هي ال count، العدد ومش دايما
+
+785
+01:04:18,460 --> 01:04:19,920
+العدد هي المقموبة بتكون عندك
+
+786
+01:04:23,040 --> 01:04:27,920
+التخصص أو ال course التاني أو العلمي التاني اللي
+
+787
+01:04:27,920 --> 01:04:32,440
+ممكن يخدمني اللي هو ال machine learning ال machine
+
+788
+01:04:32,440 --> 01:04:38,300
+learning هو عبارة عن علم مختص بتقوير method من أجل
+
+789
+01:04:38,300 --> 01:04:43,220
+نخل الألة أو ال computer أو البرنامج يتعلم من ال
+
+790
+01:04:43,220 --> 01:04:47,700
+data اللي موجودة يعني هو فعليا ال machine learning
+
+791
+01:04:47,700 --> 01:04:51,260
+عنده method عندها القدرة على قراءة البيانات و
+
+792
+01:04:51,260 --> 01:04:55,910
+استنباطالمعلومات، المعرفة من الـ data وهذا اللي
+
+793
+01:04:55,910 --> 01:04:59,230
+أنا بديها في الـ mining بدي أصل للمعرفة اللي علمت
+
+794
+01:04:59,230 --> 01:05:04,630
+ال machine learning فال
+
+795
+01:05:04,630 --> 01:05:09,510
+machine learning هنستخدمهان ك tool مش كمؤورين
+
+796
+01:05:09,510 --> 01:05:12,090
+لميثود في ال machine learning هستخدم ال machine
+
+797
+01:05:12,090 --> 01:05:15,370
+learning method في ال knowledge extraction تماما
+
+798
+01:05:15,370 --> 01:05:18,890
+انت لو بقتنقل عن الدهب مش هتروح تشتري عمل مصنع
+
+799
+01:05:18,890 --> 01:05:23,220
+جرفاتهتروح تتواصل مع كاتر بيلر في ألمانيا و تقولهم
+
+800
+01:05:23,220 --> 01:05:26,340
+والله أنا بدي جرفات بالمواصفات الفلانية أو حفارات
+
+801
+01:05:26,340 --> 01:05:29,200
+بالمواصفات الفلانية، ولا لا؟ ولا هتصنعهم أنت؟
+
+802
+01:05:29,200 --> 01:05:32,000
+الشغل التاني أن الـ machine learning بيعتمد في
+
+803
+01:05:32,000 --> 01:05:36,120
+بناء الـ knowledge على ال samples يعني لما بروح
+
+804
+01:05:36,120 --> 01:05:39,020
+بالـ method، بقول والله أنا بني ال decision ايه؟
+
+805
+01:05:39,020 --> 01:05:43,580
+ببنيها على ال sampleممكن الـ Sample في لحظة لحظات
+
+806
+01:05:43,580 --> 01:05:46,740
+تكون كل الـ Data لكن بالنسبة لي أن الـ Knowledge
+
+807
+01:05:46,740 --> 01:05:50,480
+لازم تكون على كل الـ Data اللي موجودة أو موجودة في
+
+808
+01:05:50,480 --> 01:05:54,380
+كل الـ Data اللي موجودة عندها الـ Database حدث ولا
+
+809
+01:05:54,380 --> 01:05:57,780
+حرج لأنه هي الأساس لكل حاجة لو لا وجود قواعد
+
+810
+01:05:57,780 --> 01:06:02,640
+البيانات ما تضخمت البيانات بالحجم اللي موجود عندها
+
+811
+01:06:02,640 --> 01:06:08,540
+الـ Search Techniques الآن المعلومات يا جماعة
+
+812
+01:06:08,540 --> 01:06:13,880
+الخير أو الـ Knowledge دائما مرتبطةبالوقت اللي هي
+
+813
+01:06:13,880 --> 01:06:17,940
+بتظهر فيه وقت إيش أنت بتقدر تستخرج knowledge بشكل
+
+814
+01:06:17,940 --> 01:06:22,160
+سريع في الحالة .. مش هذا .. مش هذا الخبير اللي
+
+815
+01:06:22,160 --> 01:06:25,000
+بقدر يستهرج على المعرفة تبعته ويسخرها حسب ال
+
+816
+01:06:25,000 --> 01:06:28,720
+situation اللي هو موجود فيها تمام، تخيل، تخيل، و
+
+817
+01:06:28,720 --> 01:06:32,960
+بدي تقوللي الفرق ما بين عالم في ال biology اليوم،
+
+818
+01:06:32,960 --> 01:06:37,760
+اليوم، بقوللي جماعة الخير أنا قدرت أوصل ل .. لقاح
+
+819
+01:06:37,760 --> 01:06:45,420
+لل Corona تمام؟وهذا دقيق أو نسبة نجاحه 80% على
+
+820
+01:06:45,420 --> 01:06:52,480
+الناس وواحد بعد سنة من اليوم قال والله أنا جبت أو
+
+821
+01:06:52,480 --> 01:06:55,860
+فيه .. الآن بقدّم لقاح للـ Corona لمارس Corona
+
+822
+01:06:55,860 --> 01:07:02,760
+تمام؟ بنسبة 95% من الدقة مين أهم بالله عليك؟ الآن
+
+823
+01:07:02,760 --> 01:07:06,860
+وبالتالي أنا بحاجة أن يكون ال search techniques
+
+824
+01:07:06,860 --> 01:07:11,340
+تبعتيسريعة، لأنه مابديش أبقى لي طول العمر و أنا
+
+825
+01:07:11,340 --> 01:07:14,820
+بستنى، ليش؟ لأنه كمان بينقصين الـtime is money
+
+826
+01:07:14,820 --> 01:07:20,570
+الوقت هذا اللي بيبذل جهودأو الوقت اللي بيُقضى في
+
+827
+01:07:20,570 --> 01:07:23,710
+بذل الجهد مُقلف بالنسبة إلنا وبالتالي أنا بدي
+
+828
+01:07:23,710 --> 01:07:28,090
+Searching techniques فعلا تبحث عن المعرفة وتمثّل
+
+829
+01:07:28,090 --> 01:07:32,010
+إياها وتقدر تعملها maintenance بشكل سريع جدا وبهيك
+
+830
+01:07:32,010 --> 01:07:37,550
+الذكاء الاصطناعي لازم يكون موجود في ال data mining
+
+831
+01:07:37,550 --> 01:07:39,530
+طبعا لما نتكلم عن الذكاء الاصطناعي ال machine
+
+832
+01:07:39,530 --> 01:07:44,730
+learning بالمناسبة جزء من الذكاء الاصطناعي فيه ال
+
+833
+01:07:44,730 --> 01:07:49,840
+visualization زي ما قلنا أهميتها بتكمن فيهصياغة أو
+
+834
+01:07:49,840 --> 01:07:55,320
+عرض الـ knowledge أو المعرفة للناس أو لأصحاب
+
+835
+01:07:55,320 --> 01:08:00,440
+القرار اللي هياخد عليها action وبهيك بدي انا اوقف
+
+836
+01:08:00,440 --> 01:08:03,480
+قضيتنا اليوم عند ال data mining task
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7bbed951ed8c1c19104d34160f3effb96bc9736
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.json
@@ -0,0 +1 @@
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"text": "هل هما dependent او redundant attributes او لا هذي بسميها unsupervised مادخلتش ال target في حسبتي الان بشكل عام .. بشكل عام الان بدي اشيل ال redundant attributes او redundant features redundant عند ال age و عند ال date of birth و عند ال age category شو رايكوا في ال three attributes هدول؟", "tokens": [3224, 1211, 8032, 15042, 12334, 1975, 2407, 40997, 17212, 1975, 2407, 20193, 8032, 8848, 1829, 4724, 38251, 1829, 11296, 2693, 12879, 24420, 19446, 3215, 9778, 1211, 2655, 8592, 2423, 3779, 8978, 11331, 35457, 31371, 2423, 7649, 4724, 8592, 28820, 6225, 10943, 4386, 4724, 8592, 28820, 6225, 10943, 2423, 7649, 4724, 16254, 1975, 8592, 26895, 2423, 40997, 17212, 1975, 2407, 40997, 4122, 40997, 43242, 2423, 3205, 4032, 43242, 2423, 4002, 295, 3965, 4032, 43242, 2423, 3205, 7719, 13412, 2407, 12602, 47302, 4117, 14407, 8978, 2423, 1045, 17212, 8032, 3215, 12610, 22807], "avg_logprob": -0.20879121108369514, "compression_ratio": 1.7772727272727273, "no_speech_prob": 0.0, "words": 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data cleaning عشان تعالج ال consistency احنا خلصنا انا خلصت من ال missing عملت لها handling عبيتها خلصت ال noise data وحليت ال inconsistency اللي موجودة فالان انتقلت في مرحلة ال data selection تمام يا مؤمن ففعليا انا يا شباب انا خلصت المرحلة اللي لها كل علاقة بال preparation الشيء الثاني زي ما قلنا بدنا نشيل ال irrelevant attributes", "tokens": [44510, 4117, 6055, 3555, 4587, 7578, 6055, 47341, 3615, 24976, 9778, 46538, 16490, 9566, 2407, 9566, 9957, 34683, 25957, 1211, 1412, 8924, 6225, 8592, 7649, 6055, 3615, 6027, 7435, 2423, 14416, 1975, 5016, 8315, 16490, 1211, 9381, 8315, 1975, 8315, 16490, 1211, 9381, 2655, 9154, 2423, 5361, 6225, 42213, 2655, 5296, 11296, 13175, 6225, 21292, 2655, 11296, 16490, 1211, 9381, 2655, 2423, 5658, 1412, 4032, 5016, 20292, 2655, 2423, 22039, 468, 3020, 13672, 1829, 3714, 29245, 23328, 3660, 6156, 6027, 7649, 16472, 2655, 4587, 1211, 2655, 8978, 3714, 2288, 5016, 37977, 2423, 1412, 9450, 46811, 10943, 35186, 3714, 33604, 27842, 6156, 5172, 3615, 20292, 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الطريقة الأولى زى ما قلنا try and measure انا باخد كل ال data set او عفوا اما forward او backward الفرق بين التنتين انه بال forward ببدأ مع single attribute و ببدأ اضيف التاني و التالت و الرابع و كده و ال attribute اللى مابأثرش فى ال result النهائى او تأثيره قليل بقى شيله", "tokens": [5172, 6027, 7649, 41950, 16572, 28671, 16247, 12610, 7578, 30767, 7578, 19446, 12174, 1211, 8315, 853, 293, 3481, 1975, 8315, 4724, 47283, 3215, 28242, 2423, 1412, 992, 1975, 2407, 6225, 5172, 14407, 1975, 15042, 2128, 1975, 2407, 23897, 27188, 2288, 4587, 49374, 16712, 29399, 9957, 16472, 3224, 20666, 2128, 4724, 44510, 10721, 20449, 2167, 19667, 4032, 4724, 44510, 10721, 1975, 11242, 33911, 16712, 7649, 1829, 4032, 16712, 6027, 2655, 4032, 34892, 16758, 3615, 4032, 9122, 3215, 3224, 4032, 2423, 19667, 13672, 7578, 3714, 16758, 10721, 49115, 8592, 6156, 7578, 2423, 1874, 28239, 3224, 16373, 7578, 1975, 2407, 6055, 10721, 12984, 13546, 3224, 12174, 20292, 1211, 4724, 4587, 7578, 13412, 26895, 3224], 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0.97265625}, {"start": 2086.01, "end": 2086.21, "word": " بقى", "probability": 0.9698893229166666}, {"start": 2086.21, "end": 2086.51, "word": " أحس", "probability": 0.9181315104166666}, {"start": 2086.51, "end": 2086.73, "word": " أنه", "probability": 0.3875732421875}, {"start": 2086.73, "end": 2086.87, "word": " الـ", "probability": 0.885986328125}, {"start": 2086.87, "end": 2087.29, "word": " Accuracy", "probability": 0.8465169270833334}, {"start": 2087.29, "end": 2087.45, "word": " أو", "probability": 0.84375}, {"start": 2087.45, "end": 2087.61, "word": " ال", "probability": 0.98486328125}, {"start": 2087.61, "end": 2087.61, "word": " ..", "probability": 0.341796875}, {"start": 2087.61, "end": 2088.03, "word": " ال", "probability": 0.9814453125}, {"start": 2088.03, "end": 2088.37, "word": " ..", "probability": 0.75830078125}, {"start": 2088.37, "end": 2088.75, "word": " ال", "probability": 0.9814453125}, {"start": 2088.75, "end": 2089.23, "word": " performance", "probability": 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"word": " بتروح", "probability": 0.9763997395833334}, {"start": 2099.55, "end": 2100.27, "word": " بتطبق", "probability": 0.71209716796875}, {"start": 2100.27, "end": 2100.65, "word": " Machine", "probability": 0.64111328125}, {"start": 2100.65, "end": 2101.13, "word": " Learning", "probability": 0.8876953125}, {"start": 2101.13, "end": 2102.43, "word": " Algorithm", "probability": 0.8414713541666666}, {"start": 2102.43, "end": 2102.91, "word": " على", "probability": 0.7529296875}, {"start": 2102.91, "end": 2103.01, "word": " ال", "probability": 0.978515625}, {"start": 2103.01, "end": 2103.19, "word": " data", "probability": 0.6806640625}, {"start": 2103.19, "end": 2103.57, "word": " set", "probability": 0.94140625}], "temperature": 1.0}, {"id": 78, "seek": 213085, "start": 2104.43, "end": 2130.85, "text": "فبروح ببني decision tree ال data set مكونة من six attributes عشان توصلنا لل class ال decision tree لما بناها لجأ ان ال rules بعت ال decision tree فقط معتمد على three attributes a1 و a4 و a6 هذا يعني ان a2 و a3 و a5 are useless", "tokens": [5172, 26890, 2407, 5016, 4724, 3555, 22653, 3537, 4230, 2423, 1412, 992, 3714, 30544, 3660, 9154, 2309, 17212, 6225, 8592, 7649, 33427, 36520, 8315, 24976, 1508, 2423, 3537, 4230, 5296, 15042, 4724, 8315, 11296, 5296, 7435, 10721, 16472, 2423, 4474, 4724, 34268, 2423, 3537, 4230, 6156, 47432, 3714, 34268, 2304, 3215, 15844, 1045, 17212, 257, 16, 4032, 257, 19, 4032, 257, 21, 23758, 37495, 22653, 16472, 257, 17, 4032, 257, 18, 4032, 257, 20, 366, 14115], "avg_logprob": -0.19805194263334397, "compression_ratio": 1.532994923857868, "no_speech_prob": 0.0, "words": [{"start": 2104.43, "end": 2104.99, "word": "فبروح", "probability": 0.9151611328125}, {"start": 2104.99, "end": 2105.39, "word": " ببني", "probability": 0.8924153645833334}, {"start": 2105.39, "end": 2106.29, "word": " decision", "probability": 0.88671875}, {"start": 2106.29, "end": 2106.67, "word": " tree", "probability": 0.923828125}, {"start": 2106.67, "end": 2109.03, 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decision", "probability": 0.9873046875}, {"start": 2114.99, "end": 2115.33, "word": " tree", "probability": 0.92236328125}, {"start": 2115.33, "end": 2115.53, "word": " لما", "probability": 0.937255859375}, {"start": 2115.53, "end": 2116.11, "word": " بناها", "probability": 0.8129069010416666}, {"start": 2116.11, "end": 2117.29, "word": " لجأ", "probability": 0.9296875}, {"start": 2117.29, "end": 2117.41, "word": " ان", "probability": 0.56640625}, {"start": 2117.41, "end": 2117.55, "word": " ال", "probability": 0.9130859375}, {"start": 2117.55, "end": 2117.85, "word": " rules", "probability": 0.75}, {"start": 2117.85, "end": 2118.15, "word": " بعت", "probability": 0.5194091796875}, {"start": 2118.15, "end": 2118.27, "word": " ال", "probability": 0.8251953125}, {"start": 2118.27, "end": 2118.55, "word": " decision", "probability": 0.99072265625}, {"start": 2118.55, "end": 2118.83, "word": " tree", "probability": 0.92578125}, {"start": 2118.83, "end": 2119.23, "word": " فقط", "probability": 0.8828125}, {"start": 2119.23, "end": 2119.89, "word": " معتمد", "probability": 0.73504638671875}, {"start": 2119.89, "end": 2120.23, "word": " على", "probability": 0.83544921875}, {"start": 2120.23, "end": 2121.45, "word": " three", "probability": 0.6083984375}, {"start": 2121.45, "end": 2122.05, "word": " attributes", "probability": 0.91162109375}, {"start": 2122.05, "end": 2122.65, "word": " a1", "probability": 0.5621337890625}, {"start": 2122.65, "end": 2122.85, "word": " و", "probability": 0.705078125}, {"start": 2122.85, "end": 2123.25, "word": " a4", "probability": 0.947021484375}, {"start": 2123.25, "end": 2123.41, "word": " و", "probability": 0.99365234375}, {"start": 2123.41, "end": 2123.85, "word": " a6", "probability": 0.986328125}, {"start": 2123.85, "end": 2124.85, "word": " هذا", "probability": 0.83935546875}, {"start": 2124.85, "end": 2125.23, "word": " يعني", "probability": 0.9755859375}, {"start": 2125.23, "end": 2126.39, "word": " ان", "probability": 0.767578125}, {"start": 2126.39, "end": 2127.03, "word": " a2", "probability": 0.9150390625}, {"start": 2127.03, "end": 2128.41, "word": " و", "probability": 0.9228515625}, {"start": 2128.41, "end": 2129.01, "word": " a3", "probability": 0.976806640625}, {"start": 2129.01, "end": 2129.91, "word": " و", "probability": 0.99072265625}, {"start": 2129.91, "end": 2130.39, "word": " a5", "probability": 0.982177734375}, {"start": 2130.39, "end": 2130.59, "word": " are", "probability": 0.2161865234375}, {"start": 2130.59, "end": 2130.85, "word": " useless", "probability": 0.90234375}], "temperature": 1.0}, {"id": 79, "seek": 216017, "start": 2132.91, "end": 2160.17, "text": "فرح هدفهم يقولك خلاص أنا بقدر أبني النظام تبع عالمين على ال data set اللي موجود عندها الان ال data set هيها اه بتتكون من six attributes فلما احنا أخدنا ال six attributes هدول بنينا عليهم decision tree ال decision tree عامالها واضحة جداني لما رسمتها بتكون من ايش فقط من ال three attributes A1 و A4", "tokens": [5172, 2288, 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085", "probability": 0.70361328125}, {"start": 2859.59, "end": 2861.73, "word": " شو", "probability": 0.876953125}, {"start": 2861.73, "end": 2862.15, "word": " يعني؟", "probability": 0.90087890625}], "temperature": 1.0}, {"id": 104, "seek": 289286, "start": 2865.0, "end": 2892.86, "text": "يعني أنا الآن إني الخيار أشيل واحد A أو B والـ C لازم يظل ليش الـ C لازم يظل؟ قريبة من الصفر القيمة، مصبوط؟ قريبة من الصفر، كل ما كانت القيمة قريبة للصفر فهذا ال attribute يعد independent مستقل، مالوش علاقة بال attribute اللي في جنبه وكل ما كبرت ال value باتجاه الواحد", "tokens": [40228, 22653, 41850, 6024, 48506, 11933, 22653, 33962, 1829, 9640, 5551, 8592, 26895, 36764, 24401, 316, 34051, 363, 16070, 39184, 383, 5296, 31377, 2304, 7251, 19913, 1211, 32239, 8592, 2423, 39184, 383, 5296, 31377, 2304, 7251, 19913, 1211, 22807, 12174, 16572, 49401, 9154, 31767, 5172, 2288, 25062, 32640, 3660, 12399, 3714, 9381, 3555, 2407, 9566, 22807, 12174, 16572, 49401, 9154, 31767, 5172, 2288, 12399, 28242, 19446, 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2888.9, "end": 2889.18, "word": " attribute", "probability": 0.681640625}, {"start": 2889.18, "end": 2889.36, "word": " اللي", "probability": 0.979248046875}, {"start": 2889.36, "end": 2889.42, "word": " في", "probability": 0.9072265625}, {"start": 2889.42, "end": 2889.76, "word": " جنبه", "probability": 0.988525390625}, {"start": 2889.76, "end": 2890.88, "word": " وكل", "probability": 0.486083984375}, {"start": 2890.88, "end": 2891.02, "word": " ما", "probability": 0.96728515625}, {"start": 2891.02, "end": 2891.4, "word": " كبرت", "probability": 0.8977864583333334}, {"start": 2891.4, "end": 2891.52, "word": " ال", "probability": 0.95751953125}, {"start": 2891.52, "end": 2891.8, "word": " value", "probability": 0.97900390625}, {"start": 2891.8, "end": 2892.28, "word": " باتجاه", "probability": 0.8441162109375}, {"start": 2892.28, "end": 2892.86, "word": " الواحد", "probability": 0.9912109375}], "temperature": 1.0}, {"id": 105, "seek": 292324, "start": 2893.72, "end": 2923.24, "text": "معنى تفيدي من دنسة عالية ما بين ال two attributes وبالتالي لازم أخلص بواحد منهم تمام يا شباب؟ هذا ال python code بسيط عملته الصبح مع المثال عشان اورديك كيف ممكن انا بدي استدعي ال correlation انا مش حابن ال function ال function موجودة بس استخدم ال attributes هاي ال data set تبعتي ال iris قرأتها", "tokens": [2304, 3615, 1863, 7578, 6055, 5172, 25708, 1829, 9154, 11778, 1863, 3794, 3660, 6225, 6027, 10632, 19446, 49374, 2423, 732, 17212, 46599, 6027, 2655, 6027, 1829, 5296, 31377, 2304, 5551, 9778, 1211, 9381, 4724, 14407, 24401, 9154, 16095, 46811, 10943, 35186, 13412, 3555, 16758, 22807, 23758, 2423, 38797, 3089, 4724, 3794, 1829, 9566, 6225, 42213, 47395, 31767, 49628, 20449, 9673, 12984, 6027, 6225, 8592, 7649, 1975, 13063, 16254, 4117, 9122, 33911, 3714, 43020, 1975, 8315, 4724, 16254, 44713, 3215, 3615, 1829, 2423, 20009, 1975, 8315, 37893, 11331, 16758, 1863, 2423, 2445, 2423, 2445, 3714, 29245, 23328, 3660, 4724, 3794, 44713, 9778, 40448, 2423, 17212, 8032, 47302, 2423, 1412, 992, 6055, 3555, 3615, 31371, 2423, 3418, 271, 12174, 2288, 10721, 2655, 11296], "avg_logprob": -0.18545081478650452, "compression_ratio": 1.68, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2893.72, "end": 2894.1, "word": "معنى", "probability": 0.66619873046875}, {"start": 2894.1, "end": 2894.4, "word": " تفيدي", "probability": 0.86572265625}, {"start": 2894.4, "end": 2894.52, "word": " من", "probability": 0.53955078125}, {"start": 2894.52, "end": 2894.94, "word": " دنسة", "probability": 0.80657958984375}, {"start": 2894.94, "end": 2895.24, "word": " عالية", "probability": 0.98779296875}, {"start": 2895.24, "end": 2895.38, "word": " ما", "probability": 0.71533203125}, {"start": 2895.38, "end": 2895.52, "word": " بين", "probability": 0.99169921875}, {"start": 2895.52, "end": 2895.64, "word": " ال", "probability": 0.9501953125}, {"start": 2895.64, "end": 2895.72, "word": " two", "probability": 0.58154296875}, {"start": 2895.72, "end": 2896.2, "word": " attributes", "probability": 0.900390625}, {"start": 2896.2, "end": 2896.6, "word": " وبالتالي", "probability": 0.9029296875}, {"start": 2896.6, "end": 2896.86, "word": " لازم", "probability": 0.9930013020833334}, {"start": 2896.86, "end": 2897.3, "word": " أخلص", "probability": 0.9114990234375}, {"start": 2897.3, "end": 2898.66, "word": " بواحد", "probability": 0.9558919270833334}, {"start": 2898.66, "end": 2899.84, "word": " منهم", "probability": 0.988037109375}, {"start": 2899.84, "end": 2900.42, "word": " تمام", "probability": 0.926513671875}, {"start": 2900.42, "end": 2900.56, "word": " يا", "probability": 0.76513671875}, {"start": 2900.56, "end": 2902.5, "word": " شباب؟", "probability": 0.84674072265625}, {"start": 2902.5, "end": 2903.72, "word": " هذا", "probability": 0.82373046875}, {"start": 2903.72, "end": 2903.84, "word": " ال", "probability": 0.31396484375}, {"start": 2903.84, "end": 2903.96, "word": " python", "probability": 0.16796875}, {"start": 2903.96, "end": 2904.46, "word": " code", "probability": 0.94873046875}, {"start": 2904.46, "end": 2906.9, "word": " بسيط", "probability": 0.9940185546875}, {"start": 2906.9, "end": 2907.24, "word": " عملته", "probability": 0.9098307291666666}, {"start": 2907.24, "end": 2907.6, "word": " الصبح", "probability": 0.98095703125}, {"start": 2907.6, "end": 2908.94, "word": " مع", "probability": 0.943359375}, {"start": 2908.94, "end": 2909.44, "word": " المثال", "probability": 0.9715169270833334}, {"start": 2909.44, "end": 2910.36, "word": " عشان", "probability": 0.9697265625}, {"start": 2910.36, "end": 2910.76, "word": " اورديك", "probability": 0.68603515625}, {"start": 2910.76, "end": 2910.96, "word": " كيف", "probability": 0.713134765625}, {"start": 2910.96, "end": 2911.2, "word": " ممكن", "probability": 0.9443359375}, {"start": 2911.2, "end": 2911.36, "word": " انا", "probability": 0.78076171875}, {"start": 2911.36, "end": 2911.58, "word": " بدي", "probability": 0.669189453125}, {"start": 2911.58, "end": 2911.86, "word": " استدعي", "probability": 0.8319091796875}, {"start": 2911.86, "end": 2911.94, "word": " ال", "probability": 0.93017578125}, {"start": 2911.94, "end": 2912.26, "word": " correlation", "probability": 0.95751953125}, {"start": 2912.26, "end": 2912.84, "word": " انا", "probability": 0.75927734375}, {"start": 2912.84, "end": 2912.96, "word": " مش", "probability": 0.98974609375}, {"start": 2912.96, "end": 2913.18, "word": " حابن", "probability": 0.8876953125}, {"start": 2913.18, "end": 2913.26, "word": " ال", "probability": 0.9443359375}, {"start": 2913.26, "end": 2913.58, "word": " function", "probability": 0.94677734375}, {"start": 2913.58, "end": 2913.8, "word": " ال", "probability": 0.5634765625}, {"start": 2913.8, "end": 2914.08, "word": " function", "probability": 0.96435546875}, {"start": 2914.08, "end": 2914.84, "word": " موجودة", "probability": 0.988037109375}, {"start": 2914.84, "end": 2915.2, "word": " بس", "probability": 0.904296875}, {"start": 2915.2, "end": 2915.72, "word": " استخدم", "probability": 0.9495442708333334}, {"start": 2915.72, "end": 2920.08, "word": " ال", "probability": 0.9716796875}, {"start": 2920.08, "end": 2920.56, "word": " attributes", "probability": 0.91259765625}, {"start": 2920.56, "end": 2921.04, "word": " هاي", "probability": 0.4986572265625}, {"start": 2921.04, "end": 2921.12, "word": " ال", "probability": 0.98193359375}, {"start": 2921.12, "end": 2921.26, "word": " data", "probability": 0.75048828125}, {"start": 2921.26, "end": 2921.54, "word": " set", "probability": 0.96435546875}, {"start": 2921.54, "end": 2921.94, "word": " تبعتي", "probability": 0.945556640625}, {"start": 2921.94, "end": 2922.16, "word": " ال", "probability": 0.90185546875}, {"start": 2922.16, "end": 2922.54, "word": " iris", "probability": 0.76171875}, {"start": 2922.54, "end": 2923.24, "word": " قرأتها", "probability": 0.9498046875}], "temperature": 1.0}, {"id": 106, "seek": 295141, "start": 2924.03, "end": 2951.41, "text": "و هاي ال data قلتله ال correlation واحد ال data frame ال data اسم ال attribute ضغط ال correlation مع ال attribute التاني فبتداني القيمة مع مو اذا انا بطبق by default و بطبق ال person لانه numeric اذا انا بطبق مثلا ال sparse، sparse man فاروح اقوله هنا ال method equal عشان يديني الممكنية نغير ال coefficient measurement او metric اللي انا بدي استخدمها", "tokens": [2407, 8032, 47302, 2423, 1412, 12174, 1211, 2655, 43761, 2423, 20009, 36764, 24401, 2423, 1412, 3920, 2423, 1412, 24525, 2304, 2423, 19667, 48812, 17082, 9566, 2423, 20009, 20449, 2423, 19667, 16712, 7649, 1829, 6156, 3555, 2655, 3215, 7649, 1829, 25062, 32640, 3660, 20449, 3714, 2407, 1975, 15730, 1975, 8315, 4724, 9566, 3555, 4587, 538, 7576, 4032, 4724, 9566, 3555, 4587, 2423, 954, 5296, 7649, 3224, 7866, 299, 1975, 15730, 1975, 8315, 4724, 9566, 3555, 4587, 50113, 15040, 2423, 637, 11668, 12399, 637, 11668, 587, 6156, 9640, 2407, 5016, 1975, 39648, 3224, 34105, 2423, 3170, 2681, 6225, 8592, 7649, 7251, 3215, 9957, 1829, 9673, 43020, 10632, 8717, 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"probability": 0.708984375}, {"start": 2941.93, "end": 2942.17, "word": " man", "probability": 0.8984375}, {"start": 2942.17, "end": 2943.13, "word": " فاروح", "probability": 0.9564208984375}, {"start": 2943.13, "end": 2943.43, "word": " اقوله", "probability": 0.74560546875}, {"start": 2943.43, "end": 2943.57, "word": " هنا", "probability": 0.1729736328125}, {"start": 2943.57, "end": 2943.71, "word": " ال", "probability": 0.80517578125}, {"start": 2943.71, "end": 2943.99, "word": " method", "probability": 0.9833984375}, {"start": 2943.99, "end": 2944.49, "word": " equal", "probability": 0.72998046875}, {"start": 2944.49, "end": 2945.33, "word": " عشان", "probability": 0.9791666666666666}, {"start": 2945.33, "end": 2945.61, "word": " يديني", "probability": 0.73565673828125}, {"start": 2945.61, "end": 2946.15, "word": " الممكنية", "probability": 0.7117513020833334}, {"start": 2946.15, "end": 2946.73, "word": " نغير", "probability": 0.74365234375}, {"start": 2946.73, "end": 2948.29, 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اكيد لانه اتنين اتنين التاني مع كل اللي بعده مع كل اللي بعده", "tokens": [6027, 7649, 23758, 11203, 995, 28671, 49374, 732, 17212, 16472, 2655, 43242, 4117, 30827, 1975, 2407, 26687, 17212, 1975, 2407, 3499, 17212, 47525, 4117, 6055, 5172, 37983, 9122, 33911, 3714, 43020, 1975, 8315, 1975, 8592, 2655, 17082, 1211, 1975, 2407, 1975, 19913, 3555, 9566, 2423, 3089, 6055, 3555, 3615, 1829, 4724, 5016, 1829, 12984, 16472, 3224, 7251, 8592, 2655, 17082, 1211, 12174, 16373, 46007, 7251, 39648, 1829, 8032, 47302, 8032, 3215, 12610, 3660, 48812, 3615, 33911, 4032, 8032, 3215, 12610, 3660, 25062, 2407, 10632, 1975, 4117, 25708, 5296, 7649, 3224, 1975, 2655, 1863, 9957, 1975, 2655, 1863, 9957, 16712, 7649, 1829, 20449, 28242, 13672, 1829, 39182, 3224, 20449, 28242, 13672, 1829, 39182, 3224], "avg_logprob": -0.19819078908154839, "compression_ratio": 1.7937219730941705, "no_speech_prob": 0.0, "words": [{"start": 2953.6, "end": 2953.92, "word": "الان", "probability": 0.69287109375}, {"start": 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3022.59, "end": 3023.09, "word": " عندي", "probability": 0.766357421875}, {"start": 3023.09, "end": 3023.37, "word": " nominal", "probability": 0.97705078125}, {"start": 3023.37, "end": 3023.89, "word": " data", "probability": 0.9365234375}, {"start": 3023.89, "end": 3024.65, "word": " nominal", "probability": 0.783203125}, {"start": 3024.65, "end": 3025.15, "word": " data", "probability": 0.9716796875}, {"start": 3025.15, "end": 3026.29, "word": " يعني", "probability": 0.960693359375}, {"start": 3026.29, "end": 3027.11, "word": " البيانات", "probability": 0.8934326171875}, {"start": 3027.11, "end": 3027.27, "word": " اللي", "probability": 0.94677734375}, {"start": 3027.27, "end": 3027.65, "word": " عندي", "probability": 0.864501953125}, {"start": 3027.65, "end": 3028.89, "word": " مش", "probability": 0.95947265625}, {"start": 3028.89, "end": 3029.35, "word": " أرقام", "probability": 0.9718017578125}, {"start": 3029.35, "end": 3030.53, "word": " البيانات", "probability": 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"avg_logprob": -0.3184523930152257, "compression_ratio": 1.6323529411764706, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 3067.96, "end": 3068.62, "word": "ناقص", "probability": 0.74224853515625}, {"start": 3068.62, "end": 3069.02, "word": " الـ", "probability": 0.624755859375}, {"start": 3069.02, "end": 3069.52, "word": " expected", "probability": 0.493408203125}, {"start": 3069.52, "end": 3070.16, "word": " value", "probability": 0.98046875}, {"start": 3070.16, "end": 3070.48, "word": " وهذا", "probability": 0.535400390625}, {"start": 3070.48, "end": 3071.08, "word": " سأحسبه", "probability": 0.687939453125}, {"start": 3071.08, "end": 3071.34, "word": " الآن", "probability": 0.771728515625}, {"start": 3071.34, "end": 3071.68, "word": " حسب", "probability": 0.7086181640625}, {"start": 3071.68, "end": 3072.0, "word": " القانون", "probability": 0.9747721354166666}, {"start": 3072.0, "end": 3072.08, "word": " اللي", "probability": 0.732666015625}, {"start": 3072.08, 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"probability": 0.919921875}, {"start": 3088.86, "end": 3089.16, "word": " of", "probability": 0.98193359375}, {"start": 3089.16, "end": 3089.64, "word": " freedom", "probability": 0.91259765625}, {"start": 3089.64, "end": 3093.76, "word": " هذا", "probability": 0.8447265625}, {"start": 3093.76, "end": 3094.26, "word": " الجدول", "probability": 0.9895833333333334}], "temperature": 1.0}, {"id": 112, "seek": 312641, "start": 3097.67, "end": 3126.41, "text": "بيتكلم على degree of freedom اللي هي عبارة عن حاصل ضرب الصفوف ناقص واحد والأعمد ناقص واحد عشان عدد ال rows و ال attributes اللي انت بتشتغل عليها و مع قيمة من القيم يعني هتيجي في لحظة من لحظة تقولي انا بدي القيمة هذه بناء ل chi-square مع degree of freedom level of significance مع degree of freedom الأن برجليك تطبيقها", "tokens": [3555, 36081, 4117, 19528, 15844, 4314, 295, 5645, 13672, 1829, 39896, 6225, 3555, 9640, 3660, 18871, 11331, 33546, 1211, 48812, 25513, 31767, 5172, 38688, 8717, 995, 4587, 9381, 36764, 24401, 16070, 10721, 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ال example اللي موجود عندي في عندي two attributes في ال data set ال gender ال gender و ال preferred reading ال gender male و female و ال preferred reading يعني الناس بحبوا يقراوا روايات اما رواية خيالية او قصص خيالية او قصص علمية او حقيقية سميها زي ما بدك", "tokens": [6027, 7649, 8978, 2423, 1365, 13672, 1829, 3714, 29245, 23328, 18871, 16254, 8978, 18871, 16254, 732, 17212, 8978, 2423, 1412, 992, 2423, 7898, 2423, 7898, 4032, 2423, 16494, 3760, 2423, 7898, 7133, 4032, 6556, 4032, 2423, 16494, 3760, 37495, 22653, 2423, 8315, 3794, 4724, 5016, 3555, 14407, 7251, 4587, 23557, 14407, 12602, 14407, 1829, 9307, 1975, 15042, 12602, 14407, 10632, 16490, 1829, 6027, 10632, 1975, 2407, 12174, 9381, 9381, 16490, 1829, 6027, 10632, 1975, 2407, 12174, 9381, 9381, 11203, 2304, 10632, 1975, 2407, 11331, 38436, 4587, 10632, 8608, 2304, 1829, 11296, 30767, 1829, 19446, 47525, 4117], "avg_logprob": -0.12032860824742268, "compression_ratio": 1.9207920792079207, "no_speech_prob": 5.960464477539063e-08, 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{"start": 3148.51, "end": 3149.31, "word": " روايات", "probability": 0.98779296875}, {"start": 3149.31, "end": 3150.71, "word": " اما", "probability": 0.7255859375}, {"start": 3150.71, "end": 3151.03, "word": " رواية", "probability": 0.9910481770833334}, {"start": 3151.03, "end": 3151.55, "word": " خيالية", "probability": 0.9949951171875}, {"start": 3151.55, "end": 3151.69, "word": " او", "probability": 0.8779296875}, {"start": 3151.69, "end": 3151.91, "word": " قصص", "probability": 0.9469401041666666}, {"start": 3151.91, "end": 3152.41, "word": " خيالية", "probability": 0.99609375}, {"start": 3152.41, "end": 3152.57, "word": " او", "probability": 0.96875}, {"start": 3152.57, "end": 3152.97, "word": " قصص", "probability": 0.99169921875}, {"start": 3152.97, "end": 3153.49, "word": " علمية", "probability": 0.9659830729166666}, {"start": 3153.49, "end": 3153.63, "word": " او", "probability": 0.980224609375}, {"start": 3153.63, "end": 3154.11, "word": " حقيقية", "probability": 0.992919921875}, {"start": 3154.11, "end": 3154.47, "word": " سميها", "probability": 0.891845703125}, {"start": 3154.47, "end": 3154.65, "word": " زي", "probability": 0.910400390625}, {"start": 3154.65, "end": 3154.73, "word": " ما", "probability": 0.931640625}, {"start": 3154.73, "end": 3155.13, "word": " بدك", "probability": 0.943359375}], "temperature": 1.0}, {"id": 114, "seek": 318701, "start": 3157.85, "end": 3187.01, "text": "ال data set مكوّنة من 1500 row تمام؟ يعني في عندي two attributes في ال data set ال gender preferred reading male fiction male nonfiction female fiction female", "tokens": [6027, 1412, 992, 3714, 4117, 2407, 11703, 1863, 3660, 9154, 22671, 5386, 46811, 10943, 22807, 37495, 22653, 8978, 18871, 16254, 732, 17212, 8978, 2423, 1412, 992, 2423, 7898, 16494, 3760, 7133, 13266, 7133, 2107, 32041, 6556, 13266, 6556], "avg_logprob": -0.23858173535420343, "compression_ratio": 1.3597122302158273, "no_speech_prob": 0.0, "words": [{"start": 3157.85, "end": 3158.13, "word": "ال", "probability": 0.8818359375}, {"start": 3158.13, "end": 3158.33, "word": " data", "probability": 0.6845703125}, {"start": 3158.33, "end": 3158.59, "word": " set", "probability": 0.9541015625}, {"start": 3158.59, "end": 3159.33, "word": " مكوّنة", "probability": 0.819091796875}, {"start": 3159.33, "end": 3159.51, "word": " من", "probability": 0.9541015625}, {"start": 3159.51, "end": 3160.35, "word": " 1500", "probability": 0.88232421875}, {"start": 3160.35, "end": 3161.01, "word": " row", "probability": 0.56689453125}, {"start": 3161.01, "end": 3163.33, "word": " تمام؟", "probability": 0.5840657552083334}, {"start": 3163.33, "end": 3163.69, "word": " يعني", "probability": 0.907958984375}, {"start": 3163.69, "end": 3163.79, "word": " في", "probability": 0.61181640625}, {"start": 3163.79, "end": 3163.99, "word": " عندي", "probability": 0.829833984375}, {"start": 3163.99, "end": 3164.13, "word": " two", "probability": 0.845703125}, {"start": 3164.13, "end": 3164.73, "word": " attributes", "probability": 0.8994140625}, {"start": 3164.73, "end": 3164.99, "word": " في", "probability": 0.91357421875}, {"start": 3164.99, "end": 3165.07, "word": " ال", "probability": 0.935546875}, {"start": 3165.07, "end": 3165.25, "word": " data", "probability": 0.92626953125}, {"start": 3165.25, "end": 3165.67, "word": " set", "probability": 0.970703125}, {"start": 3165.67, "end": 3167.35, "word": " ال", "probability": 0.7900390625}, {"start": 3167.35, "end": 3167.69, "word": " gender", "probability": 0.9580078125}, {"start": 3167.69, "end": 3170.55, "word": " preferred", "probability": 0.8984375}, {"start": 3170.55, "end": 3173.37, "word": " reading", "probability": 0.494384765625}, {"start": 3173.37, "end": 3176.83, "word": " male", "probability": 0.8115234375}, {"start": 3176.83, "end": 3179.09, "word": " fiction", "probability": 0.791015625}, {"start": 3179.09, "end": 3180.49, "word": " male", "probability": 0.83154296875}, {"start": 3180.49, "end": 3182.25, "word": " 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"text": "تمام؟ احتمال ان الكورتين هدول يطلعوا حمر جداش؟ خلط السحب الأولى اربعة على عشرة من جلك؟ حسب ال random sample تبعتي with replacement او without هذا اللي انا بدو أوصلك إياه الآن انا في ال sampling", "tokens": [39237, 10943, 22807, 1975, 33753, 2304, 6027, 16472, 33251, 13063, 2655, 9957, 8032, 3215, 12610, 7251, 9566, 1211, 3615, 14407, 11331, 29973, 10874, 3215, 33599, 22807, 16490, 1211, 9566, 21136, 5016, 3555, 16247, 12610, 7578, 1975, 25513, 27884, 15844, 6225, 8592, 25720, 9154, 10874, 23275, 22807, 11331, 35457, 2423, 4974, 6889, 6055, 3555, 3615, 31371, 365, 14419, 1975, 2407, 1553, 23758, 13672, 1829, 1975, 8315, 47525, 2407, 5551, 2407, 36520, 4117, 11933, 25528, 3224, 6024, 48506, 1975, 8315, 8978, 2423, 21179], "avg_logprob": -0.39100610737393543, "compression_ratio": 1.5297029702970297, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 3772.37, "end": 3773.29, "word": "تمام؟", "probability": 0.655517578125}, {"start": 3773.29, "end": 3774.09, "word": " احتمال", "probability": 0.9404296875}, {"start": 3774.09, "end": 3774.21, "word": " ان", "probability": 0.79296875}, {"start": 3774.21, "end": 3774.65, "word": " الكورتين", "probability": 0.806396484375}, {"start": 3774.65, "end": 3774.87, "word": " هدول", "probability": 0.644775390625}, {"start": 3774.87, "end": 3775.21, "word": " يطلعوا", "probability": 0.8900390625}, {"start": 3775.21, "end": 3775.45, "word": " حمر", "probability": 0.778076171875}, {"start": 3775.45, "end": 3776.37, "word": " جداش؟", "probability": 0.586669921875}, {"start": 3776.37, "end": 3779.91, "word": " خلط", "probability": 0.5975748697916666}, {"start": 3779.91, "end": 3782.09, "word": " السحب", "probability": 0.7437337239583334}, {"start": 3782.09, "end": 3783.51, "word": " الأولى", "probability": 0.8115234375}, {"start": 3783.51, "end": 3784.13, "word": " اربعة", "probability": 0.6993815104166666}, {"start": 3784.13, "end": 3784.27, "word": " على", "probability": 0.62060546875}, {"start": 3784.27, "end": 3784.69, "word": " عشرة", "probability": 0.9537760416666666}, {"start": 3784.69, "end": 3784.97, "word": " من", "probability": 0.266845703125}, {"start": 3784.97, "end": 3788.59, "word": " جلك؟", "probability": 0.5274251302083334}, {"start": 3788.59, "end": 3790.31, "word": " حسب", "probability": 0.7357177734375}, {"start": 3790.31, "end": 3790.61, "word": " ال", "probability": 0.85205078125}, {"start": 3790.61, "end": 3791.45, "word": " random", "probability": 0.300048828125}, {"start": 3791.45, "end": 3792.23, "word": " sample", "probability": 0.51953125}, {"start": 3792.23, "end": 3792.83, "word": " تبعتي", "probability": 0.73919677734375}, {"start": 3792.83, "end": 3792.97, "word": " with", "probability": 0.64208984375}, {"start": 3792.97, "end": 3793.59, "word": " replacement", "probability": 0.58203125}, {"start": 3793.59, "end": 3793.85, "word": " او", "probability": 0.817626953125}, {"start": 3793.85, "end": 3794.29, "word": " without", "probability": 0.92578125}, {"start": 3794.29, "end": 3795.13, "word": " هذا", "probability": 0.225830078125}, {"start": 3795.13, "end": 3795.19, "word": " اللي", "probability": 0.89453125}, {"start": 3795.19, "end": 3795.27, "word": " انا", "probability": 0.82470703125}, {"start": 3795.27, "end": 3795.41, "word": " بدو", "probability": 0.537841796875}, {"start": 3795.41, "end": 3795.79, "word": " أوصلك", "probability": 0.69573974609375}, {"start": 3795.79, "end": 3796.37, "word": " إياه", "probability": 0.732421875}, {"start": 3796.37, "end": 3796.89, "word": " الآن", "probability": 0.5968017578125}, {"start": 3796.89, "end": 3797.45, "word": " انا", "probability": 0.770751953125}, {"start": 3797.45, "end": 3797.55, "word": " في", "probability": 0.9833984375}, {"start": 3797.55, "end": 3797.67, "word": " ال", "probability": 0.85107421875}, {"start": 3797.67, "end": 3798.15, "word": " sampling", "probability": 0.96240234375}], "temperature": 1.0}, {"id": 136, "seek": 382767, "start": 3800.43, "end": 3827.67, "text": "أو في الـ Random Sample في عندي With Replacement و Without Replacement مع الإرجاع و بدون الإرجاع الآن احتمال أن أسحب كورتين حمر مع الإرجاع", "tokens": [10721, 2407, 8978, 2423, 39184, 37603, 4832, 781, 8978, 18871, 16254, 2022, 47762, 7621, 4032, 9129, 47762, 7621, 20449, 33688, 47341, 45761, 4032, 47525, 11536, 33688, 47341, 45761, 6024, 48506, 1975, 33753, 2304, 6027, 14739, 5551, 3794, 5016, 3555, 9122, 13063, 2655, 9957, 11331, 29973, 20449, 33688, 47341, 45761], "avg_logprob": -0.20234375208616256, "compression_ratio": 1.4892086330935252, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 3800.43, "end": 3800.69, "word": "أو", "probability": 0.8369140625}, {"start": 3800.69, "end": 3800.83, "word": " في", "probability": 0.90771484375}, {"start": 3800.83, "end": 3800.93, "word": " الـ", "probability": 0.83056640625}, {"start": 3800.93, "end": 3801.09, "word": " Random", "probability": 0.66064453125}, {"start": 3801.09, "end": 3801.71, "word": " Sample", "probability": 0.750732421875}, {"start": 3801.71, "end": 3808.03, "word": " في", "probability": 0.57958984375}, {"start": 3808.03, "end": 3808.45, "word": " عندي", "probability": 0.779052734375}, {"start": 3808.45, "end": 3809.89, "word": " With", "probability": 0.44140625}, {"start": 3809.89, "end": 3810.75, "word": " Replacement", "probability": 0.845703125}, {"start": 3810.75, "end": 3814.19, "word": " و", "probability": 0.90380859375}, {"start": 3814.19, "end": 3814.53, "word": " Without", "probability": 0.853515625}, {"start": 3814.53, "end": 3815.29, "word": " Replacement", "probability": 0.965576171875}, {"start": 3815.29, "end": 3820.63, "word": " مع", "probability": 0.9501953125}, {"start": 3820.63, "end": 3821.29, "word": " الإرجاع", "probability": 0.8990885416666666}, {"start": 3821.29, "end": 3821.49, "word": " و", "probability": 0.84423828125}, {"start": 3821.49, "end": 3821.75, "word": " بدون", "probability": 0.991943359375}, {"start": 3821.75, "end": 3822.33, "word": " الإرجاع", "probability": 0.9690755208333334}, {"start": 3822.33, "end": 3823.35, "word": " الآن", "probability": 0.6463623046875}, {"start": 3823.35, "end": 3823.81, "word": " احتمال", "probability": 0.90478515625}, {"start": 3823.81, "end": 3823.93, "word": " أن", "probability": 0.373291015625}, {"start": 3823.93, "end": 3824.35, "word": " أسحب", "probability": 0.768798828125}, {"start": 3824.35, "end": 3824.87, "word": " كورتين", "probability": 0.883056640625}, {"start": 3824.87, "end": 3825.31, "word": " حمر", "probability": 0.83056640625}, {"start": 3825.31, "end": 3826.97, "word": " مع", "probability": 0.98876953125}, {"start": 3826.97, "end": 3827.67, "word": " الإرجاع", "probability": 0.98681640625}], "temperature": 1.0}, {"id": 137, "seek": 385461, "start": 3829.97, "end": 3854.61, "text": "4 على 10 ضرب 4 على 10 بدون ارجع 4 على 10 ضرب 3 على 9 لأنه الآن اتغيرت ال sample تبعتي او ال population تبعتي اتغيرت وبالتالي جلت وقمتين تمام", "tokens": [19, 15844, 1266, 48812, 25513, 1017, 15844, 1266, 47525, 11536, 1975, 47341, 3615, 1017, 15844, 1266, 48812, 25513, 805, 15844, 1722, 5296, 33456, 3224, 6024, 48506, 1975, 2655, 17082, 13546, 2655, 2423, 6889, 6055, 3555, 3615, 31371, 1975, 2407, 2423, 4415, 6055, 3555, 3615, 31371, 1975, 2655, 17082, 13546, 2655, 46599, 6027, 2655, 6027, 1829, 10874, 1211, 2655, 4032, 4587, 2304, 2655, 9957, 46811, 10943], "avg_logprob": -0.16915246166966177, "compression_ratio": 1.5594405594405594, "no_speech_prob": 1.0132789611816406e-06, "words": [{"start": 3829.97, "end": 3830.47, "word": "4", "probability": 0.78125}, {"start": 3830.47, "end": 3830.69, "word": " على", "probability": 0.146240234375}, {"start": 3830.69, "end": 3831.09, "word": " 10", "probability": 0.8798828125}, {"start": 3831.09, "end": 3831.61, "word": " ضرب", "probability": 0.7135009765625}, {"start": 3831.61, "end": 3831.91, "word": " 4", "probability": 0.9736328125}, {"start": 3831.91, "end": 3832.15, "word": " على", "probability": 0.83447265625}, {"start": 3832.15, "end": 3832.49, "word": " 10", "probability": 0.93408203125}, {"start": 3832.49, "end": 3836.61, "word": " بدون", "probability": 0.91162109375}, {"start": 3836.61, "end": 3837.27, "word": " ارجع", "probability": 0.8170572916666666}, {"start": 3837.27, "end": 3838.89, "word": " 4", "probability": 0.78564453125}, {"start": 3838.89, "end": 3839.27, "word": " على", "probability": 0.79443359375}, {"start": 3839.27, "end": 3839.75, "word": " 10", "probability": 0.96923828125}, {"start": 3839.75, "end": 3840.27, "word": " ضرب", "probability": 0.977294921875}, {"start": 3840.27, "end": 3840.55, "word": " 3", "probability": 0.97607421875}, {"start": 3840.55, "end": 3840.95, "word": " على", "probability": 0.84130859375}, {"start": 3840.95, "end": 3841.35, "word": " 9", "probability": 0.99169921875}, {"start": 3841.35, "end": 3843.39, "word": " لأنه", "probability": 0.6791178385416666}, {"start": 3843.39, "end": 3844.11, "word": " الآن", "probability": 0.732666015625}, {"start": 3844.11, "end": 3844.97, "word": " اتغيرت", "probability": 0.9166015625}, {"start": 3844.97, "end": 3846.25, "word": " ال", "probability": 0.91015625}, {"start": 3846.25, "end": 3846.59, "word": " sample", "probability": 0.8017578125}, {"start": 3846.59, "end": 3847.15, "word": " تبعتي", "probability": 0.83251953125}, {"start": 3847.15, "end": 3847.33, "word": " او", "probability": 0.901123046875}, {"start": 3847.33, "end": 3847.63, "word": " ال", "probability": 0.67236328125}, {"start": 3847.63, "end": 3848.61, "word": " population", "probability": 0.97900390625}, {"start": 3848.61, "end": 3849.19, "word": " تبعتي", "probability": 0.942626953125}, {"start": 3849.19, "end": 3849.89, "word": " اتغيرت", "probability": 0.9712890625}, {"start": 3849.89, "end": 3850.71, "word": " وبالتالي", "probability": 0.936328125}, {"start": 3850.71, "end": 3851.23, "word": " جلت", "probability": 0.89306640625}, {"start": 3851.23, "end": 3852.69, "word": " وقمتين", "probability": 0.771826171875}, {"start": 3852.69, "end": 3854.61, "word": " تمام", "probability": 0.946533203125}], "temperature": 1.0}, {"id": 138, "seek": 388218, "start": 3855.26, "end": 3882.18, "text": "الان احنا معظم شغلنا لما بنعمل sampling معظمه نتكلم sampling without replacement لان انا مابديش تكرار انا فاحنا بنشتغل هان without replacement ليش؟ لان كمان مرة عامالة بقول انا بدي اخلص من التكرار اخلص من ال rows المكررة اخلص من ال attributes المكررة فلو انا الصاحب تبعي او ال random sample مع الارجاع", "tokens": [6027, 7649, 1975, 5016, 8315, 20449, 19913, 2304, 13412, 17082, 1211, 8315, 5296, 15042, 44945, 25957, 1211, 21179, 20449, 19913, 2304, 3224, 8717, 2655, 4117, 19528, 21179, 1553, 14419, 5296, 7649, 1975, 8315, 3714, 16758, 16254, 8592, 6055, 37983, 9640, 1975, 8315, 6156, 39319, 8315, 44945, 8592, 2655, 17082, 1211, 8032, 7649, 1553, 14419, 32239, 8592, 22807, 5296, 7649, 9122, 2304, 7649, 3714, 25720, 6225, 10943, 6027, 3660, 4724, 39648, 1975, 8315, 4724, 16254, 1975, 9778, 1211, 9381, 9154, 16712, 37983, 9640, 1975, 9778, 1211, 9381, 9154, 2423, 13241, 9673, 37983, 25720, 1975, 9778, 1211, 9381, 9154, 2423, 17212, 9673, 37983, 25720, 6156, 1211, 2407, 1975, 8315, 31767, 39319, 3555, 6055, 3555, 3615, 1829, 1975, 2407, 2423, 4974, 6889, 20449, 2423, 9640, 7435, 45761], "avg_logprob": -0.1623749966621399, "compression_ratio": 1.9666666666666666, "no_speech_prob": 0.0, "words": [{"start": 3855.26, "end": 3855.72, "word": "الان", "probability": 0.811279296875}, {"start": 3855.72, "end": 3855.94, "word": " احنا", "probability": 0.8346354166666666}, {"start": 3855.94, "end": 3856.36, "word": " معظم", "probability": 0.9840494791666666}, {"start": 3856.36, "end": 3856.9, "word": " شغلنا", "probability": 0.9805908203125}, {"start": 3856.9, "end": 3857.12, "word": " لما", "probability": 0.8330078125}, {"start": 3857.12, "end": 3857.5, "word": " بنعمل", "probability": 0.984375}, {"start": 3857.5, "end": 3858.14, "word": " sampling", "probability": 0.68701171875}, {"start": 3858.14, "end": 3859.02, "word": " معظمه", "probability": 0.9283447265625}, {"start": 3859.02, "end": 3859.54, "word": " نتكلم", "probability": 0.81024169921875}, {"start": 3859.54, "end": 3860.54, "word": " sampling", "probability": 0.61669921875}, {"start": 3860.54, "end": 3861.3, "word": " without", "probability": 0.87890625}, {"start": 3861.3, "end": 3862.18, "word": " replacement", "probability": 0.802734375}, {"start": 3862.18, "end": 3862.92, "word": " لان", "probability": 0.637939453125}, {"start": 3862.92, "end": 3863.0, "word": " انا", "probability": 0.724853515625}, {"start": 3863.0, "end": 3863.28, "word": " مابديش", "probability": 0.58477783203125}, {"start": 3863.28, "end": 3863.64, "word": " تكرار", "probability": 0.9537760416666666}, {"start": 3863.64, "end": 3864.12, "word": " انا", "probability": 0.876953125}, {"start": 3864.12, "end": 3865.76, "word": " فاحنا", "probability": 0.9158528645833334}, {"start": 3865.76, "end": 3866.18, "word": " بنشتغل", "probability": 0.98232421875}, {"start": 3866.18, "end": 3866.5, "word": " هان", "probability": 0.50390625}, {"start": 3866.5, "end": 3869.28, "word": " without", "probability": 0.88037109375}, {"start": 3869.28, "end": 3870.22, "word": " replacement", "probability": 0.81591796875}, {"start": 3870.22, "end": 3871.44, "word": " ليش؟", "probability": 0.8074544270833334}, {"start": 3871.44, "end": 3871.58, "word": " لان", "probability": 0.826416015625}, {"start": 3871.58, "end": 3871.88, "word": " كمان", "probability": 0.8370768229166666}, {"start": 3871.88, "end": 3871.98, "word": " مرة", "probability": 0.965087890625}, {"start": 3871.98, "end": 3872.28, "word": " عامالة", "probability": 0.6553955078125}, {"start": 3872.28, "end": 3872.5, "word": " بقول", "probability": 0.949462890625}, {"start": 3872.5, "end": 3872.66, "word": " انا", "probability": 0.82568359375}, {"start": 3872.66, "end": 3872.9, "word": " بدي", "probability": 0.82861328125}, {"start": 3872.9, "end": 3873.36, "word": " اخلص", "probability": 0.9290771484375}, 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3906.22, "word": " تاخدلي", "probability": 0.85980224609375}, {"start": 3906.22, "end": 3906.7, "word": " اربعين", "probability": 0.9371337890625}, {"start": 3906.7, "end": 3906.88, "word": " في", "probability": 0.94873046875}, {"start": 3906.88, "end": 3907.12, "word": " المية", "probability": 0.9833984375}, {"start": 3907.12, "end": 3907.28, "word": " من", "probability": 0.99462890625}, {"start": 3907.28, "end": 3907.4, "word": " ال", "probability": 0.986328125}, {"start": 3907.4, "end": 3907.58, "word": " data", "probability": 0.97412109375}, {"start": 3907.58, "end": 3907.96, "word": " set", "probability": 0.97021484375}], "temperature": 1.0}, {"id": 140, "seek": 393802, "start": 3913.28, "end": 3938.02, "text": "كم كورة بقى تحطها انت؟ اربع كور بدك تسحب اربع كور عشوائي شو وراك بهيك؟ sample صح من ناحية sample without replacement صح بس هي مشكلة ان ال data set ها دي", "tokens": [24793, 9122, 13063, 3660, 4724, 4587, 7578, 6055, 5016, 9566, 11296, 16472, 2655, 22807, 1975, 25513, 3615, 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0.654815673828125}, {"start": 4433.0, "end": 4433.12, "word": " من", "probability": 0.970703125}, {"start": 4433.12, "end": 4433.28, "word": " هنا", "probability": 0.98583984375}, {"start": 4433.28, "end": 4433.4, "word": " ان", "probability": 0.869140625}, {"start": 4433.4, "end": 4433.52, "word": " شاء", "probability": 0.948974609375}, {"start": 4433.52, "end": 4433.56, "word": " الله", "probability": 0.95068359375}, {"start": 4433.56, "end": 4433.8, "word": " تعالى", "probability": 0.9521484375}, {"start": 4433.8, "end": 4434.06, "word": " هروح", "probability": 0.7491861979166666}, {"start": 4434.06, "end": 4434.5, "word": " نرفعلكي", "probability": 0.67001953125}, {"start": 4434.5, "end": 4434.68, "word": " على", "probability": 0.810546875}, {"start": 4434.68, "end": 4434.82, "word": " ال", "probability": 0.86328125}, {"start": 4434.82, "end": 4435.02, "word": " model", "probability": 0.9794921875}], "temperature": 1.0}, {"id": 159, "seek": 444184, "start": 4436.06, "end": 4441.84, "text": "ولا أي همك ان شاء الله تمام الشباب يعطيكم العافية و نهاية أسبوع سعيدة ان شاء الله", "tokens": [12610, 995, 36632, 8032, 2304, 4117, 16472, 13412, 16606, 21984, 46811, 10943, 25124, 3555, 16758, 37495, 9566, 1829, 24793, 18863, 31845, 10632, 4032, 8717, 11296, 10632, 5551, 35457, 45367, 8608, 3615, 25708, 3660, 16472, 13412, 16606, 21984], "avg_logprob": -0.18739720786872663, "compression_ratio": 1.489795918367347, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 4436.06, "end": 4436.42, "word": "ولا", "probability": 0.864013671875}, {"start": 4436.42, "end": 4436.44, "word": " أي", "probability": 0.495849609375}, {"start": 4436.44, "end": 4436.68, "word": " همك", "probability": 0.6202799479166666}, {"start": 4436.68, "end": 4436.76, "word": " ان", "probability": 0.73291015625}, {"start": 4436.76, "end": 4436.94, "word": " شاء", "probability": 0.97900390625}, {"start": 4436.94, "end": 4437.04, "word": " الله", "probability": 0.96142578125}, {"start": 4437.04, "end": 4437.52, "word": " تمام", "probability": 0.778564453125}, {"start": 4437.52, "end": 4437.94, "word": " الشباب", "probability": 0.9210611979166666}, {"start": 4437.94, "end": 4439.36, "word": " يعطيكم", "probability": 0.80938720703125}, {"start": 4439.36, "end": 4439.98, "word": " العافية", "probability": 0.9718424479166666}, {"start": 4439.98, "end": 4440.34, "word": " و", "probability": 0.93408203125}, {"start": 4440.34, "end": 4440.72, "word": " نهاية", "probability": 0.8084309895833334}, {"start": 4440.72, "end": 4441.06, "word": " أسبوع", "probability": 0.8414713541666666}, {"start": 4441.06, "end": 4441.48, "word": " سعيدة", "probability": 0.9599609375}, {"start": 4441.48, "end": 4441.56, "word": " ان", "probability": 0.88232421875}, {"start": 4441.56, "end": 4441.74, "word": " شاء", "probability": 0.993896484375}, {"start": 4441.74, "end": 4441.84, "word": " الله", "probability": 0.95263671875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4442.0005625, "duration_after_vad": 4268.673749999993}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..2464e16e7d050d9e150e54111e3ebf9f65766291
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/hrMDIeuEJkQ_raw.srt
@@ -0,0 +1,3660 @@
+1
+00:00:04,840 --> 00:00:07,380
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,380 --> 00:00:11,680
+أهلا وسهلا بكم يا شباب ان شاء الله احنا اليوم نكمل
+
+3
+00:00:11,680 --> 00:00:14,360
+مع ال chapter data understanding and data
+
+4
+00:00:14,360 --> 00:00:16,700
+preparation و هذا ال chapter المحاضرة هي اللي
+
+5
+00:00:16,700 --> 00:00:20,200
+هتكون المحاضرة الأخيرة في ال chapter اللي موجود
+
+6
+00:00:20,200 --> 00:00:23,200
+بين ايدينا كنا اتكلمنا انه فعليا عشان انا اعمل اي
+
+7
+00:00:23,200 --> 00:00:27,100
+data mining project بيلزمني من data cleaning data
+
+8
+00:00:27,100 --> 00:00:32,500
+integration data transformation data selection
+
+9
+00:00:32,500 --> 00:00:36,130
+data miningpattern evaluation و knowledge
+
+10
+00:00:36,130 --> 00:00:39,150
+presentation وقلنا هذه الخطوات السبعة اللي انا
+
+11
+00:00:39,150 --> 00:00:43,310
+فعليا بمر فيها اي مشروع اللي علاقة بال data mining
+
+12
+00:00:43,310 --> 00:00:47,290
+وكنا حكينا اخر محاضرة الأخيرة بدأنا نتكلم عن ال
+
+13
+00:00:47,290 --> 00:00:49,910
+data transformation وقلنا هدف ال data
+
+14
+00:00:49,910 --> 00:00:55,030
+transformation ان احط البيانات في صورة جديدةتتناسب
+
+15
+00:00:55,030 --> 00:00:58,970
+مع عملية ال mining اللي انا بدي اقوم فيها وذكرنا
+
+16
+00:00:58,970 --> 00:01:01,230
+انه ممكن اطبق smoothing او aggregation
+
+17
+00:01:01,230 --> 00:01:04,770
+generalization و ال normalization ومحاضرتنا اخر
+
+18
+00:01:04,770 --> 00:01:08,190
+شغلة في المحاضرة الماضية بدينا مع ال normalization
+
+19
+00:01:08,190 --> 00:01:11,870
+وقلنا ال normalization انه انا فعليا اروح اعمل
+
+20
+00:01:11,870 --> 00:01:15,850
+scaling لل data set اللي موجودة عندى او عفوا لل
+
+21
+00:01:15,850 --> 00:01:19,030
+attributes او لل data اللي عندى بحيث انه تتناسب مع
+
+22
+00:01:19,990 --> 00:01:23,850
+طبيعة ال mining task اللي عندى وقولنا أبسط الأمور
+
+23
+00:01:23,850 --> 00:01:27,110
+لو كان في عندى ال two attributes و ال range أو ال
+
+24
+00:01:27,110 --> 00:01:30,290
+gap بين ال ranges تبعتهم عالية كبيرة أو عالية كتير
+
+25
+00:01:30,290 --> 00:01:34,210
+مثل ما قولنا واحد من صفر لواحد وال attribute
+
+26
+00:01:34,210 --> 00:01:38,240
+التاني من مية لألفهدول التانية لو انا بدى اجمعهم
+
+27
+00:01:38,240 --> 00:01:42,400
+مع بعض على رسمة واحدة من المستحيل اقدر ايش اطبقهم
+
+28
+00:01:42,400 --> 00:01:45,400
+فبالتالي لازم انا اعمل scaling احطهم التانية في
+
+29
+00:01:45,400 --> 00:01:49,600
+نفس ال range بيسهل علي رسمهم والشغل التاني كمان ال
+
+30
+00:01:49,600 --> 00:01:52,620
+computation تبعت ال algorithm بتكون أبسط لما بتكون
+
+31
+00:01:52,620 --> 00:01:56,600
+اديتها كلها أيش من نفس المستوى وكنا اتكلمنا عن ال
+
+32
+00:01:56,600 --> 00:01:59,800
+zero score او ال z score normalization او ال
+
+33
+00:01:59,800 --> 00:02:04,180
+standard normalization قولنا الفكرة بال normalبال
+
+34
+00:02:04,180 --> 00:02:07,480
+stand أو بال zero score انه انا فعليا لل
+
+35
+00:02:07,480 --> 00:02:11,500
+attributes اللى عندى بحاجة ان احسب المتوسط الحسابى
+
+36
+00:02:11,500 --> 00:02:17,380
+ال main و احسب ال variance او الانحراف المعيارى لل
+
+37
+00:02:17,380 --> 00:02:21,400
+attributes اللى موجود عندى و الانحراف المعيارى هي
+
+38
+00:02:21,400 --> 00:02:28,200
+عبارة عن حاصل مجموع تربيع الفروقات ما بين النقاط و
+
+39
+00:02:28,200 --> 00:02:32,020
+المتوسط الحسابى على العدد تحت الجدر التربيعى
+
+40
+00:02:32,020 --> 00:02:38,090
+وشوفناالمرة الماضية تأثيره فعليا بالشكل هذا لما
+
+41
+00:02:38,090 --> 00:02:40,970
+روحت انا طبقت الـ zero mean كان مفهومها انه لما
+
+42
+00:02:40,970 --> 00:02:45,110
+انا بقى اطبق ال normalization هاي او ال scaling
+
+43
+00:02:45,110 --> 00:02:47,770
+هذه المتوسط الحساب اللي هيطلع مع ال attribute
+
+44
+00:02:47,770 --> 00:02:51,630
+الجديد او مع ال value جديد قيمته صفر وبالتالي
+
+45
+00:02:51,630 --> 00:02:57,870
+هتكون عندى ال variance قيمتها واحد وطبعا قولنا هاي
+
+46
+00:02:57,870 --> 00:03:02,560
+واضحة الرسمةلاحظ ان هذه ال data ال original طبيعية
+
+47
+00:03:02,560 --> 00:03:06,300
+الان هيها مزاية على two classes لما عملت لها
+
+48
+00:03:06,300 --> 00:03:11,760
+scaling بال standard scalar او بال zero score لاحظ
+
+49
+00:03:11,760 --> 00:03:16,000
+توزعت على الأربع الأربع اللي في ال Cartesian plane
+
+50
+00:03:16,000 --> 00:03:19,320
+وبالتالي انا بقدر اتكلم انه فعليا في قيم تلغي
+
+51
+00:03:19,320 --> 00:03:22,660
+التانية لما اجمع متوسطهم او لما بدور على متوسطهم
+
+52
+00:03:22,660 --> 00:03:27,020
+الحساب اليوم ان شاء الله هنكملأو كنا حكينا برضه في
+
+53
+00:03:27,020 --> 00:03:29,380
+الموضوع عشان هذه أخر شغلات نهينا فيها محاضرتنا
+
+54
+00:03:29,380 --> 00:03:32,340
+الماضية ال robust scalar هي عبارة عن ال special
+
+55
+00:03:32,340 --> 00:03:38,240
+scalar من ال zero score لكن بدل ما يروح يعتمد لي
+
+56
+00:03:38,240 --> 00:03:43,200
+على ال mean بيعتمد على ال median و ال quartile بدل
+
+57
+00:03:43,200 --> 00:03:46,440
+ال median ال mean و ال variance ال min max score
+
+58
+00:03:46,440 --> 00:03:50,750
+قلنا ال min max score مفهومها ان انا فعليا أحبالـ
+
+59
+00:03:50,750 --> 00:03:54,130
+attributes هذه أو ال values هذه ضمن فترة أنا
+
+60
+00:03:54,130 --> 00:03:58,830
+بحددها ضمن مجموعة من العناصر اللي أنا بدي إيها
+
+61
+00:03:58,830 --> 00:04:03,850
+وليكن على سبيل المثال أنا كان في عند ال values 12
+
+62
+00:04:03,850 --> 00:04:12,170
+15 10 11 20 هذه القيم اللي موجودة عندى وبدأ أروح
+
+63
+00:04:12,170 --> 00:04:17,210
+أحطها في فترة من 0 ل1 أبسط عشان تكون معايا الآن
+
+64
+00:04:17,210 --> 00:04:22,510
+أسهل في الحلالآن حسب الـ Min Max Normalization هذه
+
+65
+00:04:22,510 --> 00:04:25,770
+كل اللي أنا بسويه قاعد بعمل Shift و تقليص لل
+
+66
+00:04:25,770 --> 00:04:28,610
+Interval ال Interval الحقيقية اللي عندي من عشرة
+
+67
+00:04:28,610 --> 00:04:34,090
+لعشرين مش هدرد هيك ال data موجودة ال data موجودة
+
+68
+00:04:34,090 --> 00:04:37,850
+من عشرة لعشرين الآن أنا بدي أروح أخليها كلها
+
+69
+00:04:37,850 --> 00:04:43,330
+محصورة ما بين صفر و واحد يعني ال minimum تبعتي
+
+70
+00:04:43,330 --> 00:04:51,310
+جداش قيمتها عشرة والعشرينهذه الـ max طب ال new
+
+71
+00:04:51,310 --> 00:04:59,650
+minimum اللي أنا بدي إياها zero و ال new max واحد
+
+72
+00:04:59,650 --> 00:05:03,550
+أنا قاعد بتقول بيخليها من صفر ل واحد كل الأرقام
+
+73
+00:05:03,550 --> 00:05:07,170
+تصير من صفر ل واحد الآن بكل بساطة أي قيمة من القيم
+
+74
+00:05:07,170 --> 00:05:10,710
+هدول بتطبق عليها مين القانون البسيط اللي موجود
+
+75
+00:05:10,710 --> 00:05:14,610
+عندها طبعا قوانينها يا شباب مطلوب بحفظ تمام؟ لإن
+
+76
+00:05:14,610 --> 00:05:19,290
+مش هزودك بالقانون و أنت بتحلمالان نيجي ناخد على
+
+77
+00:05:19,290 --> 00:05:23,630
+سبيل المثال المفروض العشرة هذه بعد القانون هيتطابق
+
+78
+00:05:23,630 --> 00:05:28,650
+مين؟ الصفر تعالي ناخد العشرة القيمة الجديدة للعشرة
+
+79
+00:05:28,650 --> 00:05:35,950
+تساوي العشرة ناقص ال minimum تبعت ال attribute ال
+
+80
+00:05:35,950 --> 00:05:42,330
+minimum تبعت ال attribute قداش؟ عشرة على ال
+
+81
+00:05:42,330 --> 00:05:46,700
+maximum ناقص ال minimum تبعت ال attributeعشرين
+
+82
+00:05:46,700 --> 00:05:52,640
+ناقص عشرة مضروبة فيه لـ new maximum ناقص لـ new
+
+83
+00:05:52,640 --> 00:06:01,260
+minimum لـ new maximum واحد ناقص صفر زائد ال
+
+84
+00:06:01,260 --> 00:06:08,000
+minimum لـ new minimum لل attribute صفر صفر على
+
+85
+00:06:08,000 --> 00:06:15,310
+عشرة مضروب في واحد زائد صفر صفربصبوت؟ وبهيك انا
+
+86
+00:06:15,310 --> 00:06:19,770
+هايل ال Values و هطبقها تعالى نشوف الخمستعش وين
+
+87
+00:06:19,770 --> 00:06:28,810
+هتصير نفس الكلام يا مؤمن الان خمستعش ناقص عشرة على
+
+88
+00:06:28,810 --> 00:06:37,410
+عشرين ناقص عشرة مضروبة فيه واحد ناقص صفر زاد الصفر
+
+89
+00:06:39,330 --> 00:06:43,130
+لا مش صفر حرام عليك خمس عشر نقص عشرة خمسة خمسة على
+
+90
+00:06:43,130 --> 00:06:49,010
+عشرة في واحد زائد صفر نص
+
+91
+00:06:49,010 --> 00:06:52,790
+فعلا هي جاي في نص ال interval ما بين العشرة
+
+92
+00:06:52,790 --> 00:06:57,410
+والعشرين الخمس عشر جاي بالوسط تمام مظلوط الشباب؟
+
+93
+00:06:57,410 --> 00:07:01,290
+طيب و هيك بنكون خلصنا من ال normalization
+
+94
+00:07:01,290 --> 00:07:04,610
+باعتمادنا على ال min max
+
+95
+00:07:08,350 --> 00:07:11,010
+Normalization أو Scalar طبعا هنا أنا بتكلم على
+
+96
+00:07:11,010 --> 00:07:15,810
+Linear Transformation مجرد معادلة خطية نقلت ال
+
+97
+00:07:15,810 --> 00:07:24,550
+data على range جديد هاي مثال بس أنا مزودك بال
+
+98
+00:07:24,550 --> 00:07:29,150
+minimum و ال maximum بالاصل و بسألك كده ال 73600
+
+99
+00:07:29,150 --> 00:07:34,910
+كده هتصير أسهل scalar ممكن أطبقه أنا اللي هو ال
+
+100
+00:07:34,910 --> 00:07:39,910
+decimal scalarDecimal Scalar الـ Decimal Scalar أو
+
+101
+00:07:39,910 --> 00:07:42,970
+الـ Decimal Scaling أنا عند القيم زي ما قولنا بعض
+
+102
+00:07:42,970 --> 00:07:51,710
+العملات تقاس بالملايين 170 مليون في
+
+103
+00:07:51,710 --> 00:07:54,550
+الحساب أو في ال computation تبعت ال system هيغلبني
+
+104
+00:07:54,550 --> 00:07:57,370
+كتير الرقم هذا و هيغلب ال computer كمان يا أهد
+
+105
+00:07:57,370 --> 00:08:01,470
+فإيش الحل؟ بدي أروح أغير الأرقام هذا كل ال
+
+106
+00:08:01,470 --> 00:08:05,330
+attribute بيكون هاي صفتهفمفهوم ال scaling انه انا
+
+107
+00:08:05,330 --> 00:08:10,710
+ممكن اصغرله قيم معينة احجمه كيف احجمه جسمه على
+
+108
+00:08:10,710 --> 00:08:14,630
+عشرة أُس عشرة
+
+109
+00:08:14,630 --> 00:08:18,310
+أُس الان انا بدي اخلص من كل الأصفار معناته هي سبعة
+
+110
+00:08:18,310 --> 00:08:24,490
+و هاد التامن معناته الحاجوله ال X على عشرة أُس
+
+111
+00:08:24,490 --> 00:08:28,910
+تمانية على سبيل المثال ايش القيمة اللي هتطلع عندى
+
+112
+00:08:28,910 --> 00:08:34,690
+واحد point7 وكل الأقام بنفس النظام اللي موجود عند
+
+113
+00:08:34,690 --> 00:08:38,450
+هيكل وبالتالي هذا أسهل واحد طب هل من ال decimal
+
+114
+00:08:38,450 --> 00:08:44,130
+scaling هذا او ضمن ال scalars السابقات بقدر اغير
+
+115
+00:08:44,130 --> 00:08:51,430
+او اكبر ال range كيف أسوي يا مؤمن يا راني هان اضرب
+
+116
+00:08:51,430 --> 00:08:57,030
+في ايش اضرب في عشرة اضرب في عشرة تمام او بتخلي نفس
+
+117
+00:08:57,030 --> 00:08:58,910
+المعادلة وخلي ال K بالسالب
+
+118
+00:09:01,480 --> 00:09:05,840
+فتتحول المباشرة العملية لضرب طيب في ال min max
+
+119
+00:09:05,840 --> 00:09:10,540
+بقدر اكبر ال range هي كانت أساسا عندى من صفر ل
+
+120
+00:09:10,540 --> 00:09:16,560
+واحد انا بدي اعملها من واحد لعشرة بينفع نفس
+
+121
+00:09:16,560 --> 00:09:21,600
+القانون لنفس المعادلة بس بكي اتطبق معاملات جديدة
+
+122
+00:09:21,600 --> 00:09:25,180
+في المعادلة الجديدة حتكون ال old minimum او ال
+
+123
+00:09:25,180 --> 00:09:28,280
+attribute minimum ال attribute maximum ل ال new
+
+124
+00:09:28,280 --> 00:09:33,180
+minimum و ل ال new maximum و خلصناطب هل ممكن هذا
+
+125
+00:09:33,180 --> 00:09:41,240
+الكلام يصير مع الـ Standard Scalar؟ أكبر ال .. إيش
+
+126
+00:09:41,240 --> 00:09:44,780
+ال .. إيش ال Standard Scalar؟ اللي بيحسب المتوسط
+
+127
+00:09:44,780 --> 00:09:52,320
+الحساب و الحراف المعياري أول واحد هذا بقدرش
+
+128
+00:09:52,320 --> 00:09:56,400
+لأن المتغيرات تابعة لميو تابعة لكل ال attributes
+
+129
+00:09:56,400 --> 00:10:00,620
+ال variance تابعة لكل ال attributes وبالتالي لا
+
+130
+00:10:00,620 --> 00:10:04,650
+مافيش مجالStandard اسمه standard مافيش فيه لعب
+
+131
+00:10:04,650 --> 00:10:14,470
+تمام هنمتقل الآن لموضوع data reduction احنا كنا
+
+132
+00:10:14,470 --> 00:10:18,010
+بنتكلم على مين على ال data transformation وكان
+
+133
+00:10:18,010 --> 00:10:20,650
+نتكلم بالتحديد في ال transformation ال scaling
+
+134
+00:10:20,650 --> 00:10:24,590
+الان بدي اتكلم في ال data في ال transformation بدي
+
+135
+00:10:24,590 --> 00:10:27,710
+اتكلم على ال data reduction الان مفهوم ال
+
+136
+00:10:27,710 --> 00:10:33,360
+transformation ان الصورة ال data كانت في صورةوصارت
+
+137
+00:10:33,360 --> 00:10:37,480
+في صورة مختلفة ممكن الصورة هذه فعلياً كانت تأثير
+
+138
+00:10:37,480 --> 00:10:41,820
+فقط في البيانات زي ما عملت بالـ Scaling نفس ال
+
+139
+00:10:41,820 --> 00:10:45,620
+attributes ضالوا زي ما هم و ال rows ضالوا زي ما هم
+
+140
+00:10:45,620 --> 00:10:48,840
+بالناحية عدد لكن ال data اللي موجودة في ال
+
+141
+00:10:48,840 --> 00:10:53,220
+attributes هي اللي أخدت صورة جديدة وبهيك بصرت كل
+
+142
+00:10:53,220 --> 00:10:57,360
+ال data's صارت لها صورة جديدة أو form جديدة لكن
+
+143
+00:10:57,360 --> 00:11:01,860
+الآنفي ال data reduction هو عبارة عن تحوير لل data
+
+144
+00:11:01,860 --> 00:11:07,360
+أنه أنا بدي أقلص حجم البيانات يا دكتور انت من أول
+
+145
+00:11:07,360 --> 00:11:09,760
+ال chapter و بتقولنا كبروا البيانات و مصادر بنا
+
+146
+00:11:09,760 --> 00:11:12,960
+البيانات أخرى وعزز و integration و هلاك تقولي بدي
+
+147
+00:11:12,960 --> 00:11:15,860
+أعمل reduction أه انت بحاجة أنك تعمل reduction
+
+148
+00:11:15,860 --> 00:11:21,180
+أحيانا ال data set already كبيرة عندك فيها مليون
+
+149
+00:11:21,180 --> 00:11:21,600
+record
+
+150
+00:11:24,360 --> 00:11:28,360
+أخد المليون record أتعلم عليهم؟ كويس بس هكلفك كتير
+
+151
+00:11:28,360 --> 00:11:32,040
+وقته و بتعمل analysis لو أنا اتيت سألتك تعمل
+
+152
+00:11:32,040 --> 00:11:35,700
+analysis ل five attributes و ten rows يعني خمسين
+
+153
+00:11:35,700 --> 00:11:41,040
+value ولا بس أزيد ال rows أقول metro بصيروا خمسمية
+
+154
+00:11:41,040 --> 00:11:43,800
+خمسين ولا خمسمية؟ مين يستخدم في ال analysis؟
+
+155
+00:11:44,390 --> 00:11:47,750
+الخمسين بكل تأكيد قولي هو الكمبيوتر فارق معايا يا
+
+156
+00:11:47,750 --> 00:11:50,470
+أستاذ أه بتفرج معاه لما تشير الشغل بالملايين زي ما
+
+157
+00:11:50,470 --> 00:11:54,030
+احنا بتتكلم جاعدين ومش قيمة واحدة ومش معادلة واحدة
+
+158
+00:11:54,030 --> 00:11:57,970
+اللي بتنحسب لأ بتصير تفرج معايا فعشان هيك أنا
+
+159
+00:11:57,970 --> 00:12:02,590
+بحتاج أحيانًا أعمل reduction لكن شرب أساسي ال
+
+160
+00:12:02,590 --> 00:12:08,090
+reduction هذا مش على حساب جودة ال data يعني بين
+
+161
+00:12:08,090 --> 00:12:11,010
+جسين لما أنا بقول والله أني بدي أخد مثلًا من
+
+162
+00:12:11,010 --> 00:12:15,370
+المائة ألف بدي أخد خمسين الف فقطبدي أضمن إن الـ 50
+
+163
+00:12:15,370 --> 00:12:18,870
+ألف هدول بيمثلوا كل ال data الحقيقية
+
+164
+00:12:18,870 --> 00:12:22,490
+representative لكل ال data باجي أقول إن في عندي
+
+165
+00:12:22,490 --> 00:12:25,870
+مجموعة من ال attributes أنا مابديش إياها فعليا أنا
+
+166
+00:12:25,870 --> 00:12:31,510
+مابديش إياها لأنها إما useless غير مفيدة عندي أو
+
+167
+00:12:31,510 --> 00:12:35,850
+فعليا ال effect تبعتها بسيط وبسيط جدا مابأثرش
+
+168
+00:12:35,850 --> 00:12:41,690
+وبالتالي أنا جاعة بتكلم علىReduction هدفها ان اخلي
+
+169
+00:12:41,690 --> 00:12:48,250
+ال data set تصير عندى much smaller من الأول جبتها
+
+170
+00:12:48,250 --> 00:12:51,070
+صغيرة في الأول انت ال data ماكنتش بتعرفها أساسا
+
+171
+00:12:51,070 --> 00:12:55,650
+بتعرفش ان هي representative ولا لأ بس الان وقعت
+
+172
+00:12:55,650 --> 00:12:59,150
+بين ايديك data set حجمها كبير احنا في الأول قولات
+
+173
+00:12:59,150 --> 00:13:02,310
+جيبنا data set شايفينها صغيرة بدنا نكبرها عشان
+
+174
+00:13:02,310 --> 00:13:05,790
+نعزز ال knowledge اللى موجودة فيها بس الان already
+
+175
+00:13:05,790 --> 00:13:09,330
+ال data set اللى موجودة بين ايدياضخمة لو انا سألتك
+
+176
+00:13:09,330 --> 00:13:14,310
+محمد جداش حجم ال data set اللي انت رفعتليها على ال
+
+177
+00:13:14,310 --> 00:13:20,190
+model تلاتة مليون record مش
+
+178
+00:13:20,190 --> 00:13:24,210
+قضية تلاتة مليون record بالمنطق .. بالمنطق انا
+
+179
+00:13:24,210 --> 00:13:26,630
+هاخد التلاتة مليون record و اقول ال system اتعلم
+
+180
+00:13:26,630 --> 00:13:31,150
+عليهم لازم اعمل reduction لأن ممكن من التلاتة
+
+181
+00:13:31,150 --> 00:13:33,290
+مليون record انه بس تلات تلاف record يكونوا كافيات
+
+182
+00:13:33,290 --> 00:13:37,580
+ممكنالـ 3 مليون record ممكن فيه بينهم redundant
+
+183
+00:13:37,580 --> 00:13:41,440
+attributes أو عفوا redundant rows فلمّا أنا أروح
+
+184
+00:13:41,440 --> 00:13:47,200
+أشيلهم يصيروا 500 ألف فهذا الكلام لازم يصير عشان
+
+185
+00:13:47,200 --> 00:13:51,100
+كمان مرة قلتلك أسرع عملية ال analysis و في نفس
+
+186
+00:13:51,100 --> 00:13:54,620
+الوقت أن ال data تظل بتحمل نفس .. بتديني نفس
+
+187
+00:13:54,620 --> 00:14:01,480
+النتيجة وهذا أحيانا بيفعلني فيهأحياناً بألجأ له ..
+
+188
+00:14:01,480 --> 00:14:04,160
+بأحياناً بألجأ له لأنه أنا فعلياً بدي action
+
+189
+00:14:04,160 --> 00:14:08,620
+سريعة، بدي أشوف result تلاتة مليون ممكن بدهم
+
+190
+00:14:08,620 --> 00:14:11,400
+ياخدوا مني نهار أو اتنين، ساعة أو تنتين، بينما أنا
+
+191
+00:14:11,400 --> 00:14:14,680
+محتاج أشوف result خلال نص ساعة، فإيش بدي أضطر
+
+192
+00:14:14,680 --> 00:14:19,400
+أساوي؟ لازم أقل الحجم ال data، هذي واحد، اتنين
+
+193
+00:14:19,400 --> 00:14:22,440
+الأجهزة
+
+194
+00:14:22,440 --> 00:14:25,970
+اللي أنا عادة بعمل عليها analysis بتكلفيعني أنا
+
+195
+00:14:25,970 --> 00:14:29,570
+بعرف طالب ماجستير من قريبنا عشان فعليا كان النص
+
+196
+00:14:29,570 --> 00:14:34,390
+ساعة بيدفع عليها مبلغ محترم وفعليا احتاج اتناشر
+
+197
+00:14:34,390 --> 00:14:38,530
+ساعة دفع عليهم وكان في بعض اشتغل على بعض ال ال ال
+
+198
+00:14:38,530 --> 00:14:43,530
+free ال clusters بالمجان بس ماكنتش يتكفي كان بعد
+
+199
+00:14:43,530 --> 00:14:46,290
+مثلا ست ساعات تفصل ال session يقولوا خلاص اكتر من
+
+200
+00:14:46,290 --> 00:14:52,880
+ست ساعات بنشغل cashفكان لازم يروح يدفع عشان .. لكن
+
+201
+00:14:52,880 --> 00:14:57,760
+بالآخر أنا قاعد بقولك ال reduction هذه علشان أسرع
+
+202
+00:14:57,760 --> 00:15:01,320
+عملية ال analysis مع الضمان اللي لها نفس النتيجة
+
+203
+00:15:01,320 --> 00:15:04,280
+طب كيف بدي أضمن نفس النتيجة؟ إذا أنت كنت expert
+
+204
+00:15:04,280 --> 00:15:08,320
+بتفهم لحالك من وقع الخبرة اللي صارت زي حالتنا،
+
+205
+00:15:08,320 --> 00:15:13,040
+بنتدرب، بنتعلم، بدك تجرب مرة خليتهم 100 ألف تلاتة
+
+206
+00:15:13,040 --> 00:15:18,350
+مليون نزلتهم لخمسين ألفنزلتهم لعشرة ألف و في كل
+
+207
+00:15:18,350 --> 00:15:22,430
+مرة بقال إن ال result إذا ال result ضلت بنفس
+
+208
+00:15:22,430 --> 00:15:25,610
+المستوى ما تلاقى ال reduction أولى بالنسبة لي
+
+209
+00:15:25,610 --> 00:15:31,870
+تمام؟ نعم جايينها .. جايينها بالتفصيل الآن يا مؤمن
+
+210
+00:15:31,870 --> 00:15:35,590
+ان شاء الله تعالى و لا يهمك الآن لاحظ أنا بتكلم
+
+211
+00:15:35,590 --> 00:15:40,230
+قاعد reduction ماتكلمتش بأي dimension لا اتكلمت
+
+212
+00:15:40,230 --> 00:15:43,490
+على صفوف ولا اتكلمت على أعمدة بس في الآخر بدي أعمل
+
+213
+00:15:43,490 --> 00:15:47,350
+reductionالفكرة كمان مرة بدي أصغر حجم ال data set
+
+214
+00:15:47,350 --> 00:15:53,650
+بدي أصغر عدد ال computation اللي بدها تصير و أحافظ
+
+215
+00:15:53,650 --> 00:15:55,870
+على نفس ال analytic result نفس النتيجة اللي بدها
+
+216
+00:15:55,870 --> 00:16:01,770
+تطلع معايا قدر المستطاع ليه أشهد الكلام؟ عشان أقلل
+
+217
+00:16:01,770 --> 00:16:07,410
+ال analysis time عشان أقلل ال analysis time الآن
+
+218
+00:16:07,410 --> 00:16:11,310
+في ال reduction أنا فيه عندي تلت خطوات أو three
+
+219
+00:16:11,310 --> 00:16:17,430
+operations ممكن أنا أسويهمreduction على مستوى ال
+
+220
+00:16:17,430 --> 00:16:23,050
+attributes وهنا نسميها feature selection اختيار ال
+
+221
+00:16:23,050 --> 00:16:29,430
+attributes المميزة لل data set sampling وهنا بتكلم
+
+222
+00:16:29,430 --> 00:16:33,890
+على reduction على مستوى ال rows او بتكلم
+
+223
+00:16:33,890 --> 00:16:37,990
+discretization بتكلم reduction على مستوى ال values
+
+224
+00:16:37,990 --> 00:16:42,830
+عدد ال distinct values في ال attribute وخلّينا
+
+225
+00:16:42,830 --> 00:16:48,340
+الآن نبدأ معالأولى كمان مرة جماعة الخير بعيد و
+
+226
+00:16:48,340 --> 00:16:53,140
+بأكد أنا بدي أعمل reduction لل data set بحيث أنها
+
+227
+00:16:53,140 --> 00:16:57,700
+تكون أصغر ما يمكن بنفس الخصائص أو نفس النتائج
+
+228
+00:16:57,700 --> 00:17:02,100
+التحليلية اللي تطلع فيها كل ال database الكبيرة هل
+
+229
+00:17:02,100 --> 00:17:05,400
+الكلام هذا متاح؟ أه متاح بعد ما أطبق المجموعة
+
+230
+00:17:05,400 --> 00:17:08,820
+العناصر التالية نبدأ مع ال data reduction و ال
+
+231
+00:17:08,820 --> 00:17:14,600
+feature selection احنا متفقينإنه ال data relevant
+
+232
+00:17:14,600 --> 00:17:18,480
+لل task سألنا نفسنا من البداية هل ال data هذه
+
+233
+00:17:18,480 --> 00:17:22,520
+relevant؟ مناسبة لل task؟ أه مناسبة .. مناسبة
+
+234
+00:17:22,520 --> 00:17:27,380
+تماما الان بدأ أبدأ أسأل نفسي هل ال feature هاي
+
+235
+00:17:27,380 --> 00:17:32,700
+relevant ولا irrelevant لل task مثلا كنا متفقين
+
+236
+00:17:32,700 --> 00:17:36,940
+سابقا إن ال ID و ال names مالهاش علاقة بأي شيء
+
+237
+00:17:36,940 --> 00:17:39,720
+فهذه ال attributes لو كانت موجودة شو بدي أسوي
+
+238
+00:17:39,720 --> 00:17:45,050
+فيها؟ بدي أشيلهاالان تخيل ان ال data 6 تبعتي
+
+239
+00:17:45,050 --> 00:17:48,310
+بتتكلم على تشخيص مرض معين positive or negative
+
+240
+00:17:48,310 --> 00:17:53,790
+تمام؟ و من ضمن ال attribute اسم ال physical اسم
+
+241
+00:17:53,790 --> 00:17:59,330
+الطبيب اللي قرر الحالة هاي او عمل التشخيص هذا هل
+
+242
+00:17:59,330 --> 00:18:03,790
+اسم الطبيب هذا الاسم مش اسم المريض اسم الطبيب ال
+
+243
+00:18:03,790 --> 00:18:07,510
+expert اللي قال فعليا ان الحالة هذه positive او
+
+244
+00:18:07,510 --> 00:18:11,710
+قال عنها negative هل اسم الطبيب بالزمن في ال
+
+245
+00:18:11,710 --> 00:18:17,650
+mining؟أكيد لأ irrelevant بدي أشيله واحد يقول لما
+
+246
+00:18:17,650 --> 00:18:20,530
+انت رجعتي يا دكتور لنفس المثال بالاسماء كل الأسماء
+
+247
+00:18:20,530 --> 00:18:25,030
+و ال IDs كلها بدنا نشيلها حتى أفق معاك تحصيل
+
+248
+00:18:25,030 --> 00:18:33,150
+الطالب في المدرسة اللي له علاقة براتب والده اه
+
+249
+00:18:33,150 --> 00:18:35,910
+شوف في الأول معظمنا قال لأ بس بعدين شوية صرنا نقول
+
+250
+00:18:35,910 --> 00:18:41,990
+قد يكون okay القد هذه قداش مقدارها لأ ممكن نحسبها
+
+251
+00:18:42,740 --> 00:18:45,280
+بناء على ال data set اللي عندي واحد بيقول خمسين
+
+252
+00:18:45,280 --> 00:18:49,000
+وهنا واحد بيقوله أقل أنا ممكن أحسبها و أقولك فعليا
+
+253
+00:18:49,000 --> 00:18:53,140
+تأثير ال attribute هذا بمقدار كذا على النتيجة لسه
+
+254
+00:18:53,140 --> 00:18:57,460
+دي بلاش لأن هذا احنا مختلفين في الموضوع هذا هل
+
+255
+00:18:57,460 --> 00:19:06,600
+تحصيل الطالب له علاقة بعمر والده؟ هتقولي طبعا؟ وين
+
+256
+00:19:06,600 --> 00:19:10,620
+هو اللي بيقوله انا صحيه هشوفه بسلأ طبعا لأ بس في
+
+257
+00:19:10,620 --> 00:19:17,340
+واحد قال اه صحيح بصبوط لأ اه يمكن ننزل من العلامة
+
+258
+00:19:17,340 --> 00:19:17,680
+يعنى
+
+259
+00:19:21,300 --> 00:19:26,040
+بس شوف انت مع كل واحدة صيرتي تقول إيش يمكن يمكن
+
+260
+00:19:26,040 --> 00:19:30,400
+لأنه فعليا الأقرب بالنسبة إلك لأ مالوش اللي علاقة
+
+261
+00:19:30,400 --> 00:19:33,720
+بسلوك والده في متابعته بغض النظر عن عمره كان شاب
+
+262
+00:19:33,720 --> 00:19:36,880
+صغير أو كهل ولا لأ إذا طول ما هو حامل العصاية فوق
+
+263
+00:19:36,880 --> 00:19:42,800
+راسه وبنجر على راسه أدرس أدرس بيدرس بتهيألك في ناس
+
+264
+00:19:42,800 --> 00:19:44,560
+بيظلوا موجودين أكتر من الشباب نعم
+
+265
+00:19:48,990 --> 00:19:52,730
+صار .. صار هذا إله .. إله تأثير بس أنا قاعد بتكلم
+
+266
+00:19:52,730 --> 00:19:56,390
+باطرح معاك إنه ممكن ألاقي attributes شكلها بيوحي
+
+267
+00:19:56,390 --> 00:20:02,030
+إنه ممكن يكون تمام؟ لكنه فعلياً مالوش علاقة تمام
+
+268
+00:20:02,030 --> 00:20:04,590
+دكتور جهدك للتصك باسم اللي إنت جاي تتكلم عنه؟
+
+269
+00:20:04,590 --> 00:20:07,270
+ماعليش قاعد بقولك الآن قاعد بتكلم التصك تبعت من
+
+270
+00:20:07,270 --> 00:20:11,530
+تحصيل الطالب في المدرسة وعمر والده الآن متوفر
+
+271
+00:20:11,530 --> 00:20:18,760
+attribute اسمه ال father age بتتوقع هيك ..by sins
+
+272
+00:20:18,760 --> 00:20:22,360
+هل father age مؤثر؟ أنا بقولك من واقع خطب برا؟ لأ
+
+273
+00:20:22,360 --> 00:20:26,880
+لأ، ليش؟ لأنه كمان مرة إلها علاقة بال attitude تبع
+
+274
+00:20:26,880 --> 00:20:31,680
+الأب إذا هو متابع، هو هتظل متابع لآخر نفس وإذا هو
+
+275
+00:20:31,680 --> 00:20:40,180
+مهم من البداية، هتظل نفس العنصر الآن وبالتالي،
+
+276
+00:20:40,180 --> 00:20:42,900
+أنا عشان أطلع من الجدل اللي مايمكن ومايمكنش وجدش
+
+277
+00:20:42,900 --> 00:20:47,190
+تأثيره أنا فيه عند بعض ال formal methodsبعض الطرق
+
+278
+00:20:47,190 --> 00:20:50,610
+الرسمية الـ Practical اللي ممكن أنا أستخدمها و أصل
+
+279
+00:20:50,610 --> 00:20:55,270
+لنتيجة طيب لما أنا بجلل عدد ال attributes جماعة
+
+280
+00:20:55,270 --> 00:21:00,510
+الخير واحد اتنين تلاتة اربع كانوا عشر attributes
+
+281
+00:21:00,510 --> 00:21:04,650
+محمد جدش عدد ال attributes عندك في ال data set 87
+
+282
+00:21:04,650 --> 00:21:09,710
+attribute جدش حجم ال data set اللي عندك انت ايوة
+
+283
+00:21:09,710 --> 00:21:19,260
+اه اه 13 attributeو اربع عشر روه؟ اربع عشر
+
+284
+00:21:19,260 --> 00:21:24,720
+attributes اه و ال rows؟ الان ال attributes هذه
+
+285
+00:21:24,720 --> 00:21:27,800
+ستة و تمانين او اربع عشر ممكن غيره يقولي عشرة و
+
+286
+00:21:27,800 --> 00:21:32,740
+الناس يقولي سبعة و واحد يقولي خمسة المهم احافظ ..
+
+287
+00:21:32,740 --> 00:21:38,920
+لأ .. احنا حكينا مائة مرة أجلش يبدأ خمس تلاف روه
+
+288
+00:21:38,920 --> 00:21:40,540
+بتعيده؟
+
+289
+00:21:44,740 --> 00:21:51,580
+لما ادوجها ان شاء الله برد عليك اه
+
+290
+00:21:51,580 --> 00:21:59,640
+انت بقى كتناسبها اه بقى دوارت
+
+291
+00:21:59,640 --> 00:22:05,700
+على الجليل مش ضرور يديك knowledge كويسة نشوف نشوف
+
+292
+00:22:05,700 --> 00:22:12,600
+ماشي ماشي طيب خلينا نرجع خلينا نرجع لمحاضرتناالهدف
+
+293
+00:22:12,600 --> 00:22:17,480
+من الـ Feature Selection إن أحتفظ فقط بالـ Most
+
+294
+00:22:17,480 --> 00:22:22,120
+Relevant Attributes بالـ Most Effective Attributes
+
+295
+00:22:22,120 --> 00:22:28,900
+والباقي بدي أخلص منه وهذا عشان يديني أزيد من كفاءة
+
+296
+00:22:28,900 --> 00:22:35,720
+الـ System تبعتي ولمّا أنا فعليًا أتكلم Feature
+
+297
+00:22:35,720 --> 00:22:39,080
+Selectionأو data reduction لما انا زي ما قلتلك
+
+298
+00:22:39,080 --> 00:22:42,360
+بحدث attribute يعني بحدث variable من المعادلة اللي
+
+299
+00:22:42,360 --> 00:22:45,620
+بدها تصير وبالتالي انا بقلل ال computation اللي
+
+300
+00:22:45,620 --> 00:22:50,760
+بدها تصير عندي لاحقا عادة يا جماعة الخير لو قلتلك
+
+301
+00:22:50,760 --> 00:22:57,720
+انا ما بعرف اي مجموعة هي اللي بتأثر اي مجموعة من
+
+302
+00:22:57,720 --> 00:23:01,260
+ال features هي صاحبة التأثير الاكبر لكن بدي اجرب
+
+303
+00:23:01,260 --> 00:23:05,500
+وهذا فعليا هذا اللي بصير try and measureهذا ال
+
+304
+00:23:05,500 --> 00:23:08,800
+concept موجود جدا في ال machine learning و مطبق و
+
+305
+00:23:08,800 --> 00:23:15,680
+effective بس مكلف الان لو انا اجيت و قلتلك عندي
+
+306
+00:23:15,680 --> 00:23:20,840
+three attributes ايش
+
+307
+00:23:20,840 --> 00:23:23,980
+هي ال data set او ايش هي ال subsets من ال
+
+308
+00:23:23,980 --> 00:23:27,690
+attributes هذه اللي ممكن اجرب عليهاعارفش يعني ايش
+
+309
+00:23:27,690 --> 00:23:32,750
+تجرب عليها؟ يعني تطبق ال mining task تبعتك على ال
+
+310
+00:23:32,750 --> 00:23:35,910
+attributes هي ممكن واحد ال label و كمان variable
+
+311
+00:23:35,910 --> 00:23:39,730
+one dependent او one independent و one dependent
+
+312
+00:23:39,730 --> 00:23:42,570
+variable هي ال target تبعتي الا لو كانت عندي three
+
+313
+00:23:42,570 --> 00:23:46,570
+classes اي three attributes عفوا اي واحد و اي
+
+314
+00:23:46,570 --> 00:23:52,370
+اتنين و اي تلاتة بالاضافة لل target هي ال data set
+
+315
+00:23:52,370 --> 00:23:57,710
+تبعتي مكونة من four attributesو أنا بدي أجرب الآن
+
+316
+00:23:57,710 --> 00:24:03,850
+أخد قرار مين الأكتر أهمية فيهم و بدي أجرب و أجيس
+
+317
+00:24:03,850 --> 00:24:08,290
+كل مرة كيف كان ال performance لأن ممكن أنا أشغل
+
+318
+00:24:08,290 --> 00:24:12,150
+على ال attribute الأول لحاله مع ال target و ال
+
+319
+00:24:12,150 --> 00:24:15,390
+attribute التاني مع ال target و ال attribute
+
+320
+00:24:15,390 --> 00:24:20,330
+التالت مع ال target بعدين الأول و التاني مع ال
+
+321
+00:24:20,330 --> 00:24:26,830
+target الأول و التالت مع ال targetالثاني والتالت
+
+322
+00:24:26,830 --> 00:24:32,690
+مع ال target و كلهم مع ال target عادة و عماله
+
+323
+00:24:32,690 --> 00:24:36,410
+بذكرنا هان بقول لي معناته ان انت عندك عدد احتمالات
+
+324
+00:24:36,410 --> 00:24:42,330
+اتنين اثنان اذا ترجع للرياضيات المنفصلة في ال
+
+325
+00:24:42,330 --> 00:24:48,520
+subset ال power set ال power set بتحتوي علىكل
+
+326
+00:24:48,520 --> 00:24:52,280
+المجموعات الجزئية من المجموعة A اللي هي عددهم 2
+
+327
+00:24:52,280 --> 00:24:55,620
+أُس ال cardinality للمجموعة A باستثناء طبعا ما
+
+328
+00:24:55,620 --> 00:24:59,620
+راحنا منهم واحد في فاحنا مش قضية اتنين أُس ان تمام
+
+329
+00:24:59,620 --> 00:25:07,480
+هذا العدد إذا أنا بدي أجرب كويس على خمسة على عشرة
+
+330
+00:25:07,480 --> 00:25:12,600
+الان انا اتنين أُس عشرة نتكلم عن ألف و أربع عشرين
+
+331
+00:25:12,600 --> 00:25:16,570
+محاولة عندهبدي أغير منهم واحدة ألف و تلات و عشر
+
+332
+00:25:16,570 --> 00:25:24,090
+محاولة بس مع سبعة و تمانين قضية و
+
+333
+00:25:24,090 --> 00:25:27,650
+أنا هريحت في العلمات ان شاء الله تعالى ولا يهمك مش
+
+334
+00:25:27,650 --> 00:25:32,850
+هخليك تتعب من حملهم بالمرة هشيل منهم جدر ما بقدر
+
+335
+00:25:32,850 --> 00:25:38,510
+الآن وبالتالي ال feature selection اللي هتصير عندي
+
+336
+00:25:38,510 --> 00:25:45,560
+الآن واحدة من تنتين supervised و unsupervisedلو
+
+337
+00:25:45,560 --> 00:25:54,700
+أنا جيت قلتلك ك test شو يعني supervised؟ يعني
+
+338
+00:25:54,700 --> 00:25:59,940
+ال human exist فيه supervision فيه إشراف وين
+
+339
+00:25:59,940 --> 00:26:04,920
+الإشراف تبعت ال human؟ لا مش في ال data collection
+
+340
+00:26:04,920 --> 00:26:10,480
+في ال test في ال target في تحديد ال target ممكن
+
+341
+00:26:10,480 --> 00:26:13,580
+الآن يكون ال selection تبعي لل features بناء على
+
+342
+00:26:14,450 --> 00:26:17,590
+علاقة الـ Feature بالـ Target وهدي بنسميها
+
+343
+00:26:17,590 --> 00:26:22,350
+Supervised يعني لما أنا فعليا بدي أقرر أتخلص من
+
+344
+00:26:22,350 --> 00:26:26,810
+Attribute أو أبقي بدي أفحص علاقة الـ Attribute هذا
+
+345
+00:26:26,810 --> 00:26:32,650
+بالـ Target وهدي بسميها Supervised بسميها
+
+346
+00:26:32,650 --> 00:26:38,330
+Supervised لما بأشتغل على أنه أنا بدي أقرر بين Two
+
+347
+00:26:38,330 --> 00:26:42,690
+Attributes جانب بعضهل هما dependent او redundant
+
+348
+00:26:42,690 --> 00:26:47,210
+attributes او لا هذي بسميها unsupervised مادخلتش
+
+349
+00:26:47,210 --> 00:26:54,170
+ال target في حسبتي الان بشكل عام .. بشكل عام الان
+
+350
+00:26:54,170 --> 00:26:57,510
+بدي اشيل ال redundant attributes او redundant
+
+351
+00:26:57,510 --> 00:27:02,130
+features redundant عند ال age و عند ال date of
+
+352
+00:27:02,130 --> 00:27:07,910
+birth و عند ال age category شو رايكوا في ال three
+
+353
+00:27:07,910 --> 00:27:12,690
+attributes هدول؟كلهم زي بعض بيحملوا نفس المعلومة
+
+354
+00:27:12,690 --> 00:27:19,990
+بس بصور مختلفة تماما مثل يقول في عند الراتب وعند
+
+355
+00:27:19,990 --> 00:27:25,630
+الراتب السنوي أو صاف الراتب وعند الراتب السنوي بما
+
+356
+00:27:25,630 --> 00:27:28,610
+كلهم بيحملوا نفس المعلومة هذه redundant attributes
+
+357
+00:27:28,610 --> 00:27:33,690
+فانت بدك تشيل اتنين من التلاتة هدول و تحتفظ بواحد
+
+358
+00:27:33,690 --> 00:27:36,890
+فقط اللي بتناسب مع ال task تبعتك
+
+359
+00:27:40,720 --> 00:27:44,200
+بدك تبقى ترجع للخلف خطوطين وتعمل data cleaning
+
+360
+00:27:44,200 --> 00:27:48,660
+عشان تعالج ال consistency احنا خلصنا انا خلصت من
+
+361
+00:27:48,660 --> 00:27:52,300
+ال missing عملت لها handling عبيتها خلصت ال noise
+
+362
+00:27:52,300 --> 00:27:56,840
+data وحليت ال inconsistency اللي موجودة فالان
+
+363
+00:27:56,840 --> 00:28:00,720
+انتقلت في مرحلة ال data selection تمام يا مؤمن
+
+364
+00:28:00,720 --> 00:28:03,560
+ففعليا انا يا شباب انا خلصت المرحلة اللي لها كل
+
+365
+00:28:03,560 --> 00:28:07,320
+علاقة بال preparation الشيء الثاني زي ما قلنا بدنا
+
+366
+00:28:07,320 --> 00:28:10,730
+نشيل ال irrelevant attributesأي attribute
+
+367
+00:28:10,730 --> 00:28:16,210
+irrelevant تمام؟ irrelevant attribute بدي أخلص منه
+
+368
+00:28:16,210 --> 00:28:22,730
+في
+
+369
+00:28:22,730 --> 00:28:26,510
+شغل مهم جدا لأول مرة هنقولها ان انا بدي احذف ال
+
+370
+00:28:26,510 --> 00:28:30,830
+attribute اللي مش فيها قيم مختلفة او فيها تغيير
+
+371
+00:28:30,830 --> 00:28:38,630
+بسيط في الاختلاف يعني كان في عندنا ملف صحي بيتكلم
+
+372
+00:28:38,630 --> 00:28:46,800
+عنالنساء الحوامل اه احسن بدي اتنبأ بوزن المولود
+
+373
+00:28:46,800 --> 00:28:53,880
+لما ينولد و لاجئت فيه attribute اسمه ال gender ليش
+
+374
+00:28:53,880 --> 00:28:59,320
+انشال يا كريم بالعجل بالعجل انشال ليش انشال بالعجل
+
+375
+00:28:59,320 --> 00:29:04,880
+لأن كل الحوامل female وبالتالي انا مافيش داعي ال
+
+376
+00:29:04,880 --> 00:29:06,060
+attribute هذي يظل موجود
+
+377
+00:29:08,960 --> 00:29:12,060
+لأ لأ بتكلمش .. بتكلم على الأم .. عن الأم .. جنس
+
+378
+00:29:12,060 --> 00:29:16,080
+الأم .. بتكلم .. أنا بدي أتنبأ بوزن المولود أو بدي
+
+379
+00:29:16,080 --> 00:29:20,440
+أعمل regression لوزن المولود تمام؟ الآن و راجعت
+
+380
+00:29:20,440 --> 00:29:22,860
+البيانات .. من بيانات الأم موجود عند ال gender
+
+381
+00:29:22,860 --> 00:29:28,160
+مابيلزمش .. الآن واحد يقوللي هذا ال attribute مهم؟
+
+382
+00:29:28,160 --> 00:29:31,800
+لأ مش مهم ليش؟ لأن كل ال attributes أو .. عفوا ..
+
+383
+00:29:31,800 --> 00:29:36,320
+كل ال rows بتتشارك نفس ال value وبالتالي هذا
+
+384
+00:29:36,320 --> 00:29:40,880
+uselessتضحكوا، ماشي الحال، الله يهنيكم يا رب زي
+
+385
+00:29:40,880 --> 00:29:46,120
+العمر في مثال المدرسة،
+
+386
+00:29:46,120 --> 00:29:50,360
+شكرا لك يا أحمد الآن، العمر في مثال المدرسة،
+
+387
+00:29:50,360 --> 00:29:52,680
+الابتدائي، المرحلة الابتدائية، كلهم لورد في نفس ال
+
+388
+00:29:52,680 --> 00:29:56,600
+range إلا إذا كان ما أنا بدي فعليًا أنا معنى أشوف
+
+389
+00:29:56,600 --> 00:30:05,240
+تأثيره العمر أو فرق السنين على تحصيله عملية
+
+390
+00:30:05,240 --> 00:30:09,160
+الفحصأو مشاهد او شوف مين ال attributes الأحسن و
+
+391
+00:30:09,160 --> 00:30:15,900
+كذا مكلف أكتر الحل الان وبالتالي موضوع ان انا اجرب
+
+392
+00:30:15,900 --> 00:30:21,080
+ال subset اللي موجود عندى زى ما قلنا hosted مكلفة
+
+393
+00:30:21,080 --> 00:30:24,900
+مرحيقة وبالتالي انا هتجنبها و هشوف بعض ال methods
+
+394
+00:30:24,900 --> 00:30:28,780
+اللى بتساعدني فيه استكشف مين هي ال attributes
+
+395
+00:30:28,780 --> 00:30:34,880
+المهمة بأقل تكلفة الان هذه اللى اتكلمنا عليها
+
+396
+00:30:34,880 --> 00:30:39,940
+الخطوة الأولىTry and measure ايش يعني خد ال data
+
+397
+00:30:39,940 --> 00:30:43,820
+set كلها و ابني عليها ال mining task تبعتك و شوف
+
+398
+00:30:43,820 --> 00:30:48,280
+ال result تمام ال result كانت 80% خلصت من ال
+
+399
+00:30:48,280 --> 00:30:51,020
+attribute الأخير و بدأت أبدا أخلص منهم واحد ورا
+
+400
+00:30:51,020 --> 00:30:55,580
+التاني و جربت دلت النتيجة مثل ما هي معاتو ال
+
+401
+00:30:55,580 --> 00:30:59,460
+attribute الأخير هذا uses عارف انا بتكلم معاك كيف
+
+402
+00:30:59,460 --> 00:31:03,000
+ان ال description تبعت ال data set مش موجودهو
+
+403
+00:31:03,000 --> 00:31:07,400
+أسماء ال attributes مافيش فيها معنى meaningless
+
+404
+00:31:07,400 --> 00:31:11,080
+كتب لي A1, A2, A3, A4, A5 هاي أسماء ال attributes
+
+405
+00:31:11,080 --> 00:31:14,060
+أو feature 1, feature 2, feature 3 فصرت أنا مش
+
+406
+00:31:14,060 --> 00:31:19,820
+عارف شو كنه ال attribute هذاعن إيش بتكلم؟ ماعنديش
+
+407
+00:31:19,820 --> 00:31:23,760
+لكن أنا واثق شويه يا كريم أنا واثق بمصدر البيانات
+
+408
+00:31:23,760 --> 00:31:28,700
+أخدتها من شخص خبير في المجال وال data موثوقة لكن
+
+409
+00:31:28,700 --> 00:31:31,900
+مدانيش الأوصاف هذه كيف ممكن أشتغل؟ مافيش قدام اللي
+
+410
+00:31:31,900 --> 00:31:35,760
+قارر try and test okay هي الفكرة وين يا كريم؟ انه
+
+411
+00:31:35,760 --> 00:31:38,980
+انا فعليا كريم بيقول انا استخلصت ال knowledge
+
+412
+00:31:38,980 --> 00:31:44,300
+وخلصت صحيح وصلت ل rule لكن ال rule اللي انبنى
+
+413
+00:31:44,300 --> 00:31:52,100
+بيعتمد على86 attributes يعني لما انا بده اروح اعمل
+
+414
+00:31:52,100 --> 00:31:57,620
+test او افحص او اقولك اعمل estimation تمام انت
+
+415
+00:31:57,620 --> 00:32:02,240
+مجبر توفرلي الـ 86 value تمثل ال attributes هاي
+
+416
+00:32:02,240 --> 00:32:07,700
+دول يعني انا هدفي استخراج knowledge نعم لكن الأهم
+
+417
+00:32:07,700 --> 00:32:10,400
+منها من ال knowledge ذاتها ال role اللي انا
+
+418
+00:32:10,400 --> 00:32:14,640
+هستخدمه لاحقاالرول اللي مبني على three أو four
+
+419
+00:32:14,640 --> 00:32:21,420
+attributes أو عشرة في ال execution أسرع من ال 86
+
+420
+00:32:21,420 --> 00:32:25,360
+عشان هيك أنا بحاول أقللهم مش بس لمرحلة ال mining
+
+421
+00:32:25,360 --> 00:32:28,540
+لأنه فعلا أنا حصلت على لكن أنا في الآخر هذا ال
+
+422
+00:32:28,540 --> 00:32:31,580
+mining بده ينحق في application ال rule بده ينحق في
+
+423
+00:32:31,580 --> 00:32:34,600
+application على mobile جداش حجم ال computation
+
+424
+00:32:34,600 --> 00:32:38,620
+اللي بيحصل لأ هذه لازم يعملها reduction وبحث الشيء
+
+425
+00:32:38,620 --> 00:32:39,040
+آخر مهم
+
+426
+00:32:58,730 --> 00:33:04,890
+لما تصير ال data set بين إيديك وتفهمها كويس بتصير
+
+427
+00:33:04,890 --> 00:33:07,290
+أنت صاحب القرار هذا ال attribute relevant ولا
+
+428
+00:33:07,290 --> 00:33:11,400
+irrelevantبيفرج و لا بيأثر و لا بيأثرش بقاشر بيفرج
+
+429
+00:33:11,400 --> 00:33:14,240
+عن ال attribute التاني وبناء عليه ممكن ان انت بعد
+
+430
+00:33:14,240 --> 00:33:19,180
+مجموعة من التفكير بعد فترة من التفكير و بعض
+
+431
+00:33:19,180 --> 00:33:21,980
+الحسابات احيانا زي ما هنشوف الآن تاخد decision هذا
+
+432
+00:33:21,980 --> 00:33:24,500
+ال attribute و serious this فبدي احدفه تبع ال
+
+433
+00:33:24,500 --> 00:33:29,700
+feather تمام؟ كمان مرة يا شباب انا برجع و بأكد ان
+
+434
+00:33:29,700 --> 00:33:32,140
+انا ال feature selection بس مش ال knowledge mining
+
+435
+00:33:32,140 --> 00:33:35,940
+ال extraction لأ في خطوة لسه بعدها موضوع ال
+
+436
+00:33:35,940 --> 00:33:40,200
+deploymentللـ role هذه أو للـ knowledge هذه هو أنا
+
+437
+00:33:40,200 --> 00:33:46,500
+لان اللي بده يتنبأ بالاتفاع السهم مش برنامج بدي
+
+438
+00:33:46,500 --> 00:33:51,380
+يقرأ حالة السوق ويقول لي لان مش هيستنقل .. كل مكان
+
+439
+00:33:51,380 --> 00:33:54,680
+ال attributes أو ال variables اللي أنا باعتمد
+
+440
+00:33:54,680 --> 00:33:59,920
+عليها في ال prediction أقل بيكون أفضل لأن هذا ..
+
+441
+00:33:59,920 --> 00:34:04,260
+تخيل أنت في الـ real-time systems كل ال attributes
+
+442
+00:34:04,260 --> 00:34:08,860
+بصير بيفرج معاه في ال computationفالان الطريقة
+
+443
+00:34:08,860 --> 00:34:11,840
+الأولى زى ما قلنا try and measure انا باخد كل ال
+
+444
+00:34:11,840 --> 00:34:20,420
+data set او عفوا اما forward او backward الفرق بين
+
+445
+00:34:20,420 --> 00:34:25,500
+التنتين انه بال forward ببدأ مع single attribute و
+
+446
+00:34:25,500 --> 00:34:28,180
+ببدأ اضيف التاني و التالت و الرابع و كده و ال
+
+447
+00:34:28,180 --> 00:34:32,540
+attribute اللى مابأثرش فى ال result النهائى او
+
+448
+00:34:32,540 --> 00:34:38,590
+تأثيره قليل بقى شيلهبقى أشيله من اللي بعدين بينما
+
+449
+00:34:38,590 --> 00:34:43,470
+الـ Backward بقى أبدأ معاهم كلهم و ببدأ أغيرهم
+
+450
+00:34:43,470 --> 00:34:46,730
+واحد ورا التاني و الـ Attribute اللي بقى أحس أنه
+
+451
+00:34:46,730 --> 00:34:49,770
+الـ Accuracy أو ال .. ال .. ال performance تبع ال
+
+452
+00:34:49,770 --> 00:34:53,250
+knowledge rule تبع تهاني Down صارت ال accuracy
+
+453
+00:34:53,250 --> 00:34:58,010
+نزلت لتحت بقى خليه و بشوف بحدث اللي بعده و هكذا
+
+454
+00:34:58,010 --> 00:35:02,430
+بعض الناس بتروح بتطبق Machine Learning Algorithm
+
+455
+00:35:02,430 --> 00:35:09,230
+على ال data setفبروح ببني decision tree ال data
+
+456
+00:35:09,230 --> 00:35:13,530
+set مكونة من six attributes عشان توصلنا لل class
+
+457
+00:35:13,530 --> 00:35:18,270
+ال decision tree لما بناها لجأ ان ال rules بعت ال
+
+458
+00:35:18,270 --> 00:35:22,850
+decision tree فقط معتمد على three attributes a1 و
+
+459
+00:35:22,850 --> 00:35:33,290
+a4 و a6 هذا يعني ان a2 و a3 و a5 are uselessفرح
+
+460
+00:35:33,290 --> 00:35:36,130
+هدفهم يقولك خلاص أنا بقدر أبني النظام تبع عالمين
+
+461
+00:35:36,130 --> 00:35:42,970
+على ال data set اللي موجود عندها الان
+
+462
+00:35:42,970 --> 00:35:48,750
+ال data set هيها اه بتتكون من six attributes فلما
+
+463
+00:35:48,750 --> 00:35:50,810
+احنا أخدنا ال six attributes هدول بنينا عليهم
+
+464
+00:35:50,810 --> 00:35:54,170
+decision tree ال decision tree عامالها واضحة جداني
+
+465
+00:35:54,170 --> 00:35:58,330
+لما رسمتها بتكون من ايش فقط من ال three attributes
+
+466
+00:35:58,330 --> 00:36:07,350
+A1 و A4و A6 و لسه بيقولي A4 هو الأكتر أهمية ورا
+
+467
+00:36:07,350 --> 00:36:13,050
+بيجي A1 و A6 بنفس المنزلة في ناحية أهمية يعني انه
+
+468
+00:36:13,050 --> 00:36:17,950
+2 و 3 و 5 مالهمش معنى مالهمش لازمة فإيش بروح أنا
+
+469
+00:36:17,950 --> 00:36:21,250
+بحذفهم و ببني نظامي من جديد فقط على ال three
+
+470
+00:36:21,250 --> 00:36:25,870
+attributes الموجودة اه اه اه هنشوفه مع بعض ان شاء
+
+471
+00:36:25,870 --> 00:36:30,050
+الله لاحقا طيب الآن
+
+472
+00:36:32,550 --> 00:36:37,790
+بما انه مبدأ انه والله انا اطبق وجرب على كلهم مزعج
+
+473
+00:36:37,790 --> 00:36:40,650
+خصوصا في ناس حيصير في عندها ألف و أربع عشر محاولة
+
+474
+00:36:40,650 --> 00:36:44,170
+و ناس الله يعينهم مش عارف جديش اتنين أسمية تقريبا،
+
+475
+00:36:44,170 --> 00:36:49,150
+مصبوط؟ فالكلام حيصير in sense فهو مش منطقي، الآن
+
+476
+00:36:49,150 --> 00:36:54,550
+في بعض ال correlation algorithms بتفحص العلاقة ما
+
+477
+00:36:54,550 --> 00:36:58,470
+بين ال attributes سواء كانت العلاقة بين ال
+
+478
+00:36:58,470 --> 00:37:01,830
+attribute و ال label عشان يقولي والله جديش هذا
+
+479
+00:37:01,830 --> 00:37:06,620
+effectأو جدّاش correlated أو بين ال attributes
+
+480
+00:37:06,620 --> 00:37:11,960
+نفسها عشان يتكلم من ناحية redundancy الانش إبعاد
+
+481
+00:37:11,960 --> 00:37:15,700
+الخير في موضوع ال correlation عادة كل ما كان ال
+
+482
+00:37:15,700 --> 00:37:19,340
+value ناتج التحصيل تبع ال correlation analysis
+
+483
+00:37:19,340 --> 00:37:23,760
+عالية أو قريبة من الواحد ان هدول ال two attributes
+
+484
+00:37:23,760 --> 00:37:28,240
+هدوله mostly dependent بيعتمدوا على بعض وممكن
+
+485
+00:37:28,240 --> 00:37:32,590
+يكونوا completely duplicatedطب في الحالة هذه بدي
+
+486
+00:37:32,590 --> 00:37:37,490
+أخلص من واحد منهم كل ما كانت القيمة قريبة للصفر
+
+487
+00:37:37,490 --> 00:37:41,950
+بقول ان ال two attributes هدول independent مافيش
+
+488
+00:37:41,950 --> 00:37:45,910
+بينهم علاقة وبالتالي أنا مضطر أبقي اتنين يعني
+
+489
+00:37:45,910 --> 00:37:49,550
+فعليا انا المطلوب مني الآن وحده هنشوفه كمان شوية
+
+490
+00:37:49,550 --> 00:37:53,790
+لأنه في أول واجب جاينا الآن هنشوفه فعليا مطلوب مني
+
+491
+00:37:53,790 --> 00:37:57,250
+من مجموعة ال features هدول أعمل دراسة بال
+
+492
+00:37:57,250 --> 00:38:01,770
+coefficient عشان أحددمقاش الـ dependency اللي
+
+493
+00:38:01,770 --> 00:38:05,190
+موجودة من ال .. من ال attributes أو عفوا من ال
+
+494
+00:38:05,190 --> 00:38:09,010
+algorithm المستخدم عند ال person وهي بيستخدمها لما
+
+495
+00:38:09,010 --> 00:38:12,450
+يكون في عند ال numerical attributes وفي عند ال chi
+
+496
+00:38:12,450 --> 00:38:15,110
+-square لما تكون ال attributes عبارة عن nominal
+
+497
+00:38:15,110 --> 00:38:19,350
+attributes وفي عند ال spearman و ال kindle تاو
+
+498
+00:38:19,350 --> 00:38:21,790
+برضه مجموعة .. في مجموعة كتير من ال algorithms
+
+499
+00:38:21,790 --> 00:38:26,410
+ممكن تطبق خلينا احنا نتكلم على ال person و ال chi
+
+500
+00:38:26,410 --> 00:38:30,830
+-square كونوا واحدة لل numerical واحدةللـ nominal
+
+501
+00:38:30,830 --> 00:38:34,370
+في
+
+502
+00:38:34,370 --> 00:38:36,810
+ال person coefficient انا فيه عندي two attributes
+
+503
+00:38:36,810 --> 00:38:46,290
+الان a1 و a2 a1
+
+504
+00:38:46,290 --> 00:38:51,470
+و a2 numeric
+
+505
+00:38:51,470 --> 00:38:55,830
+attributes لها ال description مديني اجيبوا لي ايش
+
+506
+00:38:55,830 --> 00:39:00,070
+العلاقة اللي بينهمولا الأسماء جادر من خلالها أحدد
+
+507
+00:39:00,070 --> 00:39:03,930
+ايش اللي موجود او شو علاقة ال two attributes مع
+
+508
+00:39:03,930 --> 00:39:08,410
+بعضهم والتنين بما انه التنين ال numeric فبقدر اطبق
+
+509
+00:39:08,410 --> 00:39:12,770
+بينهمين ال Pearson correlation ايش ال Pearson
+
+510
+00:39:12,770 --> 00:39:17,830
+بقول؟ بقول كتالي القانون تبعتنا هي عبارة عن مجموع
+
+511
+00:39:17,830 --> 00:39:23,250
+حاصل ضرب الفروقات كل value في ال attribute ناقص
+
+512
+00:39:23,250 --> 00:39:27,070
+المتوسط الحسابي تبعته يعني
+
+513
+00:39:28,590 --> 00:39:33,650
+لو كان هذا واحد .. اتنين .. تلاتة .. وهنا مثلا
+
+514
+00:39:33,650 --> 00:39:42,270
+سبعة .. خمسة .. تلات عشر او عشرة المتوسط الحساب
+
+515
+00:39:42,270 --> 00:39:46,830
+hand gradation يا معظم الخير الـ Mu للـ A لـ A
+
+516
+00:39:46,830 --> 00:39:54,270
+واحد ستة على ثلاثة .. ثلاثة .. اتنين والميوهان
+
+517
+00:39:55,400 --> 00:40:00,560
+متوسط الحسابي 7.7257
+
+518
+00:40:00,560 --> 00:40:15,380
+.512 و 10.22 22 على 3 7.380 33 من 100 مصبوط الآن
+
+519
+00:40:15,380 --> 00:40:20,640
+عشان انا احسب طب الحراف المعياري او ال variance
+
+520
+00:40:20,640 --> 00:40:22,500
+ايش قانون ال variance
+
+521
+00:40:26,440 --> 00:40:32,460
+الـ Standard Deviation سيجما
+
+522
+00:40:32,460 --> 00:40:35,460
+.. أيوة الجدر يساوي الجدر التربيعي لـ summation
+
+523
+00:40:35,460 --> 00:40:42,640
+الـ xi نقص ميو تربيع على عددهم تحت الجدر برجع بأكد
+
+524
+00:40:42,640 --> 00:40:45,980
+عليك القوانين هاي كلها للحفظ يا شباب و هذا زيهم
+
+525
+00:40:45,980 --> 00:40:51,920
+أكيد و هذا .. هذا الدرباك المعادلة مكتوبة بشكلين
+
+526
+00:40:51,920 --> 00:40:59,090
+هي .. فانت احفظ هذه أو هذه الأسهل إلكلأ لأ مش كتير
+
+527
+00:40:59,090 --> 00:41:05,350
+يا مؤمن مش كتير يا مؤمن الان فهذه المعلومات بدي
+
+528
+00:41:05,350 --> 00:41:10,230
+احسبها عن ال attributes اللي موجودة عندى وبالتالي
+
+529
+00:41:10,230 --> 00:41:15,770
+بصير و بقوله واحد ناقص اتنين مضروبة في سبعة ناقص
+
+530
+00:41:15,770 --> 00:41:23,350
+سبعة point تلاتة زائد اتنين ناقص اتنين مضروبة في
+
+531
+00:41:23,350 --> 00:41:30,460
+خمسة ناقص سبعة تلاتةزائد تلاتة ناقص اتنين مضروبة
+
+532
+00:41:30,460 --> 00:41:35,020
+في عشرة ناقص سبعة point تلاتة هذا المجموع على
+
+533
+00:41:35,020 --> 00:41:40,060
+عددهم تلاتة في الانحراف المعياري ال variance لل
+
+534
+00:41:40,060 --> 00:41:43,480
+attribute الأول وال variance لل attribute التاني
+
+535
+00:41:43,480 --> 00:41:50,680
+تمام الآن ال
+
+536
+00:41:50,680 --> 00:41:57,220
+value اللي هتطلعهتطلع من سالب واحد أكبر أو تساوي
+
+537
+00:41:57,220 --> 00:42:05,200
+سالب واحد وأقل أو تساوي موجة بواحد صفر يعني
+
+538
+00:42:05,200 --> 00:42:09,040
+independent attributes مافيش بينهم علاقة إشارة
+
+539
+00:42:09,040 --> 00:42:13,740
+سالبة يعني العلاقة عكسية في علاقة بس عكسية الإشارة
+
+540
+00:42:13,740 --> 00:42:17,960
+موجة بقى في علاقة لكن علاقة طردية بين الأرقام اللي
+
+541
+00:42:17,960 --> 00:42:18,700
+موجودة
+
+542
+00:42:23,010 --> 00:42:26,390
+وين؟ للتنين، علاقة التنين مع بعض وإذا كان التنين
+
+543
+00:42:26,390 --> 00:42:29,890
+بيختلفوا في ال .. في إيش؟ في ال rows بيختلفوا ..
+
+544
+00:42:29,890 --> 00:42:32,810
+two attributes بيختلفوا .. بيختلفوا ببعدد ال rows؟
+
+545
+00:42:32,810 --> 00:42:35,370
+كيف هذا الكلام بده يصير؟ مش التنين موجودين في نفس
+
+546
+00:42:35,370 --> 00:42:40,430
+ال data set؟ طيب، وخلصت أنا مرحلة ال data
+
+547
+00:42:40,430 --> 00:42:46,750
+preparation، عبيت المسن الآن positive correlation
+
+548
+00:42:46,750 --> 00:42:50,370
+يعني
+
+549
+00:42:50,370 --> 00:42:55,690
+التنينالـ value أكبر من صفر يعني التنين dependent
+
+550
+00:42:55,690 --> 00:42:59,610
+أو في علاقة .. في علاقة قوية ما بينهم وبالتالي
+
+551
+00:42:59,610 --> 00:43:05,970
+بقدر أستغني عن واحد فيهم وكذلك لو كانت القيمة
+
+552
+00:43:05,970 --> 00:43:10,450
+قريبة للسالب واحد في علاقة لكن علاقة عكسية
+
+553
+00:43:10,450 --> 00:43:15,050
+وبالتالي بقدر أستغني عن واحد منهم بإيش أنا ..
+
+554
+00:43:15,050 --> 00:43:17,690
+الصفر هو ال perfect يعني ال two attributes هدولة
+
+555
+00:43:17,690 --> 00:43:21,710
+لازم يظلوابس مش دائما حدّيني صفر ولا حدّيني واحد
+
+556
+00:43:21,710 --> 00:43:26,010
+ولا حدّيني سلب واحد فحدّيني قيم في ال range هذا
+
+557
+00:43:26,010 --> 00:43:32,850
+قيم حقيقية يعني سالب خمسة من عشرة في
+
+558
+00:43:32,850 --> 00:43:39,250
+علاقة عكسية في خمسين في المية فانت بتاخد قرار بناء
+
+559
+00:43:39,250 --> 00:43:43,770
+على إيش بدي أقيها مثلا بتقول كل ال relation أو كل
+
+560
+00:43:43,770 --> 00:43:49,860
+coefficient relation اللي بتكون فوقالـ 70% هي اللي
+
+561
+00:43:49,860 --> 00:43:54,420
+بده احذفها مدون ذلك بده احتفظ فيها فهذا بيظل عندك
+
+562
+00:43:54,420 --> 00:44:00,940
+كارول انت بده تطبقه بس بتأثر في الجودة اللي هي ..
+
+563
+00:44:00,940 --> 00:44:05,640
+اذا اختارت 50 او 70 او .. اكيد انت شوف ان الاصل
+
+564
+00:44:05,640 --> 00:44:10,560
+انا بده اخلص من ال dependent attribute ال full
+
+565
+00:44:10,560 --> 00:44:13,880
+dependent اللي بين جثينه هي عبارة عن ال redundant
+
+566
+00:44:13,880 --> 00:44:18,660
+dataلأنه مسموح لعمل Transformation، مصبوط؟ يعني
+
+567
+00:44:18,660 --> 00:44:21,840
+الأصل أنه لما يكون Attribute A و Attribute B لما
+
+568
+00:44:21,840 --> 00:44:25,280
+يكون في بينهم Linear Equation بقدر أرجح الـ A للـ
+
+569
+00:44:25,280 --> 00:44:30,160
+B أو أودّي الـ A للـ B، مصبوط؟ والعكس صحيح، الآن
+
+570
+00:44:30,160 --> 00:44:34,440
+واحد من التانيه دول لازم ينشل، بس هل كل ال data
+
+571
+00:44:34,440 --> 00:44:37,660
+اللي عندي هاي بتمثل ال relation هذه؟ إذا كل ال
+
+572
+00:44:37,660 --> 00:44:40,780
+data بتمثل ال relation هذه أنا بقولك لازم تشيله،
+
+573
+00:44:40,780 --> 00:44:46,960
+استخدامه useless، لكن والله الارتباط 80%في اما اخد
+
+574
+00:44:46,960 --> 00:44:50,160
+قرار اما اضحى مابديش ال knowledge اللى بتتيجى من
+
+575
+00:44:50,160 --> 00:44:53,540
+ورا ال 80% هاي لان ال correlation عالية او فعليا
+
+576
+00:44:53,540 --> 00:44:56,100
+بدي ابقي و اتحمل التابعات عشان ال knowledge
+
+577
+00:44:56,100 --> 00:45:02,900
+تأثيرها الله وعلا ماقدش يكون هذا الجدول في three
+
+578
+00:45:02,900 --> 00:45:17,200
+attributes 1 3 4 5 6 4 6 6 8 9 C 5 5 10 1 8هدولة
+
+579
+00:45:17,200 --> 00:45:24,640
+two attributes بي تساوي a زائد تلاتة linear
+
+580
+00:45:24,640 --> 00:45:29,800
+transformation عملت ومش بس هيك روحت اندهان غيرت
+
+581
+00:45:29,800 --> 00:45:34,340
+واحد وهذا
+
+582
+00:45:34,340 --> 00:45:41,660
+الاتسي عملتله generate randomly من واحد لعشرة حسبت
+
+583
+00:45:41,660 --> 00:45:46,050
+المتوسط الحسابي لكل واحد فيهمحسبت الانحراف
+
+584
+00:45:46,050 --> 00:45:49,310
+المعياري لكل واحد فيهم من هنا على المعادلة اللي
+
+585
+00:45:49,310 --> 00:45:54,850
+شفناها قبل شوية ضل اطبق main في المعادلة السابقة
+
+586
+00:45:54,850 --> 00:46:02,370
+او روحت حسب المعادلة اللي عندي هان a في b اه بقى
+
+587
+00:46:02,370 --> 00:46:08,930
+انك تحفظها انا قاعد بقولك حفظها سهل جدا واحد
+
+588
+00:46:08,930 --> 00:46:13,830
+ناقص المتوسط الحسابي زائد
+
+589
+00:46:15,210 --> 00:46:20,330
+مضروبة ع الفان مضروبة في اربع نقص المتوسط الحسابي
+
+590
+00:46:20,330 --> 00:46:23,550
+6
+
+591
+00:46:23,550 --> 00:46:28,670
+.6 زائد و بدك تكررها مع كل ال values اللي موجود
+
+592
+00:46:28,670 --> 00:46:32,510
+عندك البرمجة طبعا بتريحني في موضوع ال function زي
+
+593
+00:46:32,510 --> 00:46:38,950
+هيك ولا لأ؟ لكن لاحظ انت الفرق او المتوسط الحسابي
+
+594
+00:46:38,950 --> 00:46:42,310
+جديش بيفرج لكن عند ال variance
+
+595
+00:46:45,820 --> 00:46:50,120
+متقريبا متساوي و الفرق اللي صار انه لو ضلت هذه
+
+596
+00:46:50,120 --> 00:46:57,000
+سبعة كان نفسها و هذه إشارة ممكن تديني لو أنا بدي
+
+597
+00:46:57,000 --> 00:47:00,360
+أعمل برنامج من بدري أقول ال attribute اللي بتديني
+
+598
+00:47:00,360 --> 00:47:06,580
+نفس ال variance بديش إياها بس بظل في عندي حالة ان
+
+599
+00:47:06,580 --> 00:47:09,420
+بعض الأحيان ال values اختلاف ال values فعلا جاي
+
+600
+00:47:09,420 --> 00:47:13,650
+random مش جاي ضمن ال linear equationفمش دايما ال
+
+601
+00:47:13,650 --> 00:47:17,490
+variance لوحده كافي ان انا احكم على ال dependency
+
+602
+00:47:17,490 --> 00:47:21,710
+بين ال two attributes بالمجمل روحنا حسبنا ال
+
+603
+00:47:21,710 --> 00:47:24,710
+Pearson correlation coefficient او coefficient
+
+604
+00:47:24,710 --> 00:47:33,510
+correlation بين a و b كان point 779 يعني 78 من 100
+
+605
+00:47:33,510 --> 00:47:41,730
+و ال dependency تبعت ال a و ال c point 085 شو
+
+606
+00:47:41,730 --> 00:47:42,150
+يعني؟
+
+607
+00:47:45,000 --> 00:47:52,200
+يعني أنا الآن إني الخيار أشيل واحد A أو B والـ C
+
+608
+00:47:52,200 --> 00:47:56,480
+لازم يظل ليش
+
+609
+00:47:56,480 --> 00:48:01,620
+الـ C لازم يظل؟ قريبة من الصفر القيمة، مصبوط؟
+
+610
+00:48:01,620 --> 00:48:05,220
+قريبة من الصفر، كل ما كانت القيمة قريبة للصفر فهذا
+
+611
+00:48:05,220 --> 00:48:08,800
+ال attribute يعد independent مستقل، مالوش علاقة
+
+612
+00:48:08,800 --> 00:48:11,800
+بال attribute اللي في جنبه وكل ما كبرت ال value
+
+613
+00:48:11,800 --> 00:48:15,640
+باتجاه الواحدمعنى تفيدي من دنسة عالية ما بين ال
+
+614
+00:48:15,640 --> 00:48:20,420
+two attributes وبالتالي لازم أخلص بواحد منهم تمام
+
+615
+00:48:20,420 --> 00:48:28,940
+يا شباب؟ هذا ال python code بسيط عملته الصبح مع
+
+616
+00:48:28,940 --> 00:48:31,940
+المثال عشان اورديك كيف ممكن انا بدي استدعي ال
+
+617
+00:48:31,940 --> 00:48:34,080
+correlation انا مش حابن ال function ال function
+
+618
+00:48:34,080 --> 00:48:40,080
+موجودة بس استخدم ال
+
+619
+00:48:40,080 --> 00:48:44,310
+attributes هاي ال data set تبعتي ال iris قرأتهاو
+
+620
+00:48:44,310 --> 00:48:46,450
+هاي ال data قلتله ال correlation واحد ال data
+
+621
+00:48:46,450 --> 00:48:50,690
+frame ال data اسم ال attribute ضغط ال correlation
+
+622
+00:48:50,690 --> 00:48:54,450
+مع ال attribute التاني فبتداني القيمة مع مو اذا
+
+623
+00:48:54,450 --> 00:48:58,610
+انا بطبق by default و بطبق ال person لانه numeric
+
+624
+00:48:58,610 --> 00:49:03,130
+اذا انا بطبق مثلا ال sparse، sparse man فاروح
+
+625
+00:49:03,130 --> 00:49:06,730
+اقوله هنا ال method equal عشان يديني الممكنية نغير
+
+626
+00:49:06,730 --> 00:49:10,830
+ال coefficient measurement او metric اللي انا بدي
+
+627
+00:49:10,830 --> 00:49:16,220
+استخدمهاالان هذا علاقة بين two attributes انت عندك
+
+628
+00:49:16,220 --> 00:49:20,440
+81 او 86 attributes او 14 attributes بدك تفكر كيف
+
+629
+00:49:20,440 --> 00:49:24,460
+ممكن انا اشتغل او اظبط ال code تبعي بحيث انه يشتغل
+
+630
+00:49:24,460 --> 00:49:33,340
+قائمة يقولي هاي هدولة ضعيف و هدولة القوية اكيد
+
+631
+00:49:33,340 --> 00:49:38,900
+لانه اتنين اتنين التاني مع كل اللي بعده مع كل اللي
+
+632
+00:49:38,900 --> 00:49:43,650
+بعدهو بناء على هيك .. بناء على هيك انت بتحتفظ
+
+633
+00:49:43,650 --> 00:49:48,410
+بمجموعة ال attributes بناء على ال value اللي بتطلع
+
+634
+00:49:48,410 --> 00:49:54,630
+اكيد
+
+635
+00:49:54,630 --> 00:49:58,370
+انا اول ما بدينا استخدم ال sense تبعتك و اروح شوف
+
+636
+00:49:58,370 --> 00:50:03,290
+ال irrelevant attribute و احذفها بناء على خبرتك
+
+637
+00:50:03,290 --> 00:50:09,250
+مالكاش خبرة؟ بدك تتعب اما بيطلعي and majorأو بدك
+
+638
+00:50:09,250 --> 00:50:12,150
+تتعب في ال coefficient أو في ال correlation
+
+639
+00:50:12,150 --> 00:50:15,310
+coefficients و أنت بتحسب فيها في كل الأحوال بدك
+
+640
+00:50:15,310 --> 00:50:21,610
+تشتغل مافيش مجال انك تبقى قاعد لازم تتعب الآن في
+
+641
+00:50:21,610 --> 00:50:26,290
+حالة إذا كانت عندي nominal data nominal data يعني
+
+642
+00:50:26,290 --> 00:50:31,810
+البيانات اللي عندي مش أرقام البيانات اللي عندي مش
+
+643
+00:50:31,810 --> 00:50:35,390
+أرقام ال
+
+644
+00:50:35,390 --> 00:50:36,110
+choice square
+
+645
+00:50:41,310 --> 00:50:48,490
+ساوي مجموع من 1 ل C C لإيه الشباب Columns Columns
+
+646
+00:50:48,490 --> 00:50:52,890
+و من 1 ل R Rows صحوف لإن أنا في عندى two
+
+647
+00:50:52,890 --> 00:50:56,030
+attributes برضه هاخدهم و ال two attributes هدول
+
+648
+00:50:56,030 --> 00:51:02,770
+موجودين فانا بدي عد كل قيمة فيهم في عند ال OIG ال
+
+649
+00:51:02,770 --> 00:51:05,590
+observed أو ال actual values اللى موجودة عندى في
+
+650
+00:51:05,590 --> 00:51:11,680
+الجدولناقص الـ expected value وهذا سأحسبه الآن حسب
+
+651
+00:51:11,680 --> 00:51:16,040
+القانون اللي سنشاهده في الإصلاح القادم على 2 أو
+
+652
+00:51:16,040 --> 00:51:21,720
+عفوا التربيع على الـ expected value وبحصل على قيمة
+
+653
+00:51:21,720 --> 00:51:28,860
+وبدي أرجع لجدول تبع الـ significant level degree
+
+654
+00:51:28,860 --> 00:51:33,760
+of freedom هذا
+
+655
+00:51:33,760 --> 00:51:34,260
+الجدول
+
+656
+00:51:37,670 --> 00:51:43,210
+بيتكلم على degree of freedom اللي هي عبارة عن حاصل
+
+657
+00:51:43,210 --> 00:51:49,250
+ضرب الصفوف ناقص واحد والأعمد ناقص واحد عشان عدد ال
+
+658
+00:51:49,250 --> 00:51:52,430
+rows و ال attributes اللي انت بتشتغل عليها و مع
+
+659
+00:51:52,430 --> 00:51:54,570
+قيمة من القيم يعني هتيجي في لحظة من لحظة تقولي انا
+
+660
+00:51:54,570 --> 00:51:59,110
+بدي القيمة هذه بناء ل chi-square مع degree of
+
+661
+00:51:59,110 --> 00:52:04,190
+freedom level of significance مع degree of freedom
+
+662
+00:52:04,190 --> 00:52:09,770
+الأن برجليك تطبيقهاالان في ال example اللي موجود
+
+663
+00:52:09,770 --> 00:52:15,430
+عندي في عندي two attributes في ال data set ال
+
+664
+00:52:15,430 --> 00:52:22,410
+gender ال gender و ال preferred reading ال gender
+
+665
+00:52:22,410 --> 00:52:27,170
+male و female و ال preferred reading يعني الناس
+
+666
+00:52:27,170 --> 00:52:32,410
+بحبوا يقراوا روايات اما رواية خيالية او قصص خيالية
+
+667
+00:52:32,410 --> 00:52:35,130
+او قصص علمية او حقيقية سميها زي ما بدك
+
+668
+00:52:37,850 --> 00:52:43,990
+ال data set مكوّنة من 1500 row تمام؟ يعني في عندي
+
+669
+00:52:43,990 --> 00:52:50,550
+two attributes في ال data set ال gender preferred
+
+670
+00:52:50,550 --> 00:52:56,830
+reading male
+
+671
+00:52:56,830 --> 00:53:08,500
+fiction male nonfiction female fiction femalenon
+
+672
+00:53:08,500 --> 00:53:14,720
+-fiction وهكذا هذه
+
+673
+00:53:14,720 --> 00:53:19,280
+ال variables لاحظوا ان ال data اللي عندي في كل ال
+
+674
+00:53:19,280 --> 00:53:25,300
+attributes فقط قمتين عشان هيك الجدول اللي طلع عندي
+
+675
+00:53:25,300 --> 00:53:30,060
+اتنين في اتنين الجدول اللي طلع عندي هنا اتنين في
+
+676
+00:53:30,060 --> 00:53:30,400
+اتنين
+
+677
+00:53:34,140 --> 00:53:39,700
+في ال prefered reading لأ في أكتر بقولك أدب .. أدب
+
+678
+00:53:39,700 --> 00:53:44,220
+.. أه فيش .. فيش هان فيش هان okay بس هذا كمثال بدي
+
+679
+00:53:44,220 --> 00:53:47,240
+أجيبلك هان في ال preferred reading راح يقوللي
+
+680
+00:53:47,240 --> 00:53:52,320
+والله أنا بد الأدب literature في politics في
+
+681
+00:53:52,320 --> 00:53:57,860
+economics في sport هاي صار أربعة Fantasia Fantasia
+
+682
+00:53:57,860 --> 00:54:04,390
+هاي خمسة فانت بممكن تعد قد ما بدكفي الآخر جداش
+
+683
+00:54:04,390 --> 00:54:09,230
+هصير حجم هذا على جد ال data اللي عندك يعني بين
+
+684
+00:54:09,230 --> 00:54:14,070
+جسين أربعة values لأنه فعليا two two two values في
+
+685
+00:54:14,070 --> 00:54:15,890
+ال attribute الأول و two values في ال attribute
+
+686
+00:54:15,890 --> 00:54:18,790
+التاني لكن في الحالة اللي أنا جاعل بتكلم أنه
+
+687
+00:54:18,790 --> 00:54:24,090
+القراءة تبعتي السياسة و اقتصاد و أدب و علوم و .. و
+
+688
+00:54:24,090 --> 00:54:30,730
+.. و فن 102 في 5 هتزيد أكيد الآن
+
+689
+00:54:32,090 --> 00:54:35,510
+الـ values الـ 250 سيبك من اللي في الأحمر هذه بس
+
+690
+00:54:35,510 --> 00:54:37,630
+أنا عشان احنا قاعدين نتعلمك نقولك انه هنا فيه
+
+691
+00:54:37,630 --> 00:54:40,650
+values بده أحسبه الآن ال values اللي باللون الأسود
+
+692
+00:54:40,650 --> 00:54:45,690
+هذه هي عبارة عن computation للي موجود يعني بين
+
+693
+00:54:45,690 --> 00:54:48,250
+جثيم هين بيقوللي في ال data set أو في ال two
+
+694
+00:54:48,250 --> 00:54:51,790
+attributes 250 واحد من ال male بيحبوا يقرأوا ال
+
+695
+00:54:51,790 --> 00:54:59,400
+fiction stories 200 من ال female بيقرأوا fictionلو
+
+696
+00:54:59,400 --> 00:55:02,280
+أنا قرأت الصفوف اللي هي ال value الصماشن اللي
+
+697
+00:55:02,280 --> 00:55:06,200
+موجود عندى 450 هي عبارة عن عدد الناس اللي بتقرأ
+
+698
+00:55:06,200 --> 00:55:10,120
+fiction في 1500 تمام؟
+
+699
+00:55:10,120 --> 00:55:17,360
+العمود 300 male 1200 female تمام؟ واضحة ال values
+
+700
+00:55:17,360 --> 00:55:20,700
+اللي بلون الأسود؟ هذه اللي احنا بنسميها سمناها قبل
+
+701
+00:55:20,700 --> 00:55:26,940
+شوية هي ال actual أو ال observation O ال actual
+
+702
+00:55:26,940 --> 00:55:27,520
+values
+
+703
+00:55:30,330 --> 00:55:35,630
+الـ actual count الان الـ expected اللي هي باللون
+
+704
+00:55:35,630 --> 00:55:38,650
+الأحمر هذه لازم تكون عندك عشان تظبط عملية ال
+
+705
+00:55:38,650 --> 00:55:43,970
+coordination فكرتها كالتالي يا جماعة الخير الآن في
+
+706
+00:55:43,970 --> 00:55:49,070
+الصف و العمود اللي انا بدي اشتغل عليه بدي ال
+
+707
+00:55:49,070 --> 00:55:55,420
+expected اللي هانExpect لمين؟ عدد الرجال أو الـ
+
+708
+00:55:55,420 --> 00:55:59,640
+mail اللي بيقرأه fiction قيمة المتوقعة بناء على ال
+
+709
+00:55:59,640 --> 00:56:06,500
+1500 اللي موجودين ال expected value هذه تساوي في
+
+710
+00:56:06,500 --> 00:56:12,160
+المقام 1500 ال total number و فوق مضروبة بقيمتين
+
+711
+00:56:12,160 --> 00:56:15,280
+عدد
+
+712
+00:56:15,280 --> 00:56:19,080
+الرجال في
+
+713
+00:56:19,080 --> 00:56:28,670
+عدد ال fictionتمام؟ على 1500 250 عفواً 300 العدد
+
+714
+00:56:28,670 --> 00:56:42,090
+الرجال ضرب 450 بال fiction على 1500 ولاحظ
+
+715
+00:56:42,090 --> 00:56:45,330
+هو هاني حطتلك في القانون حطتلك ال I و ال J عشان
+
+716
+00:56:45,330 --> 00:56:50,700
+تسهل عليه الصف و العمود اللي بتشتغل معاهلكن كمان
+
+717
+00:56:50,700 --> 00:56:54,980
+مرة انت افهمها كالتالي في اي attribute او في اي
+
+718
+00:56:54,980 --> 00:57:00,400
+cell .. في اي cell عشان احسب ال expected value هي
+
+719
+00:57:00,400 --> 00:57:06,080
+عبارة عن حاصل ضرب المجموع تبع الصف في مجموع العمود
+
+720
+00:57:06,080 --> 00:57:12,360
+على العدد الكل 1500 يعني ال expected تبع الهان
+
+721
+00:57:12,360 --> 00:57:20,310
+هتكون عبارة عن 1200 في 1050 على 1500الـ Expected
+
+722
+00:57:20,310 --> 00:57:26,610
+اللي هان 300 في 1050 على 1500 وهيك بتصير عندك أسهل
+
+723
+00:57:26,610 --> 00:57:33,810
+انك تتذكر الـ Expected Value جداش قيمته يا مؤمن؟
+
+724
+00:57:33,810 --> 00:57:41,770
+15؟ اه بدك قلة حاسبة هذه
+
+725
+00:57:41,770 --> 00:57:43,670
+قلة حاسبة 90 على كل
+
+726
+00:57:48,570 --> 00:57:59,090
+300 ضرب 450 تقسيم 1500 300 ضرب 450 عال 1500 تسعين
+
+727
+00:57:59,090 --> 00:58:03,450
+تسعين تسعين تسعين تسعين تسعين تسعين تسعين تسعين
+
+728
+00:58:03,450 --> 00:58:14,470
+تسعين تسعين تسعين تسعين تسعين تسعين تسعين
+
+729
+00:58:14,470 --> 00:58:15,930
+تسعين
+
+730
+00:58:18,440 --> 00:58:24,260
+اللي بعدها تلاتمية في الف و خمسين تلاتمية ضارب الف
+
+731
+00:58:24,260 --> 00:58:34,720
+و خمسين تقسيم الف و خمسمية اللي
+
+732
+00:58:34,720 --> 00:58:37,980
+هتستفيد من الرقم انه هيه الرقم هذا بيلزمك في
+
+733
+00:58:37,980 --> 00:58:44,980
+المعادلة عشان تجيب قيمة ال correlation expected
+
+734
+00:58:44,980 --> 00:58:47,940
+هاي الأرقام اللي موجودة عندنا
+
+735
+00:58:50,970 --> 00:58:58,290
+احصة شغل احصة اكيد بدك اجيب لك اياه و نلزمك فيه
+
+736
+00:58:58,290 --> 00:59:01,110
+الاتباع الرياضي تبعه احنا عاملا بيقولك احفظ
+
+737
+00:59:01,110 --> 00:59:06,290
+القانون ايوة
+
+738
+00:59:06,290 --> 00:59:10,190
+جلبك مادة ايش احصة احنا قولنا من الأول
+
+739
+00:59:10,190 --> 00:59:14,210
+multidisciplinary متمينين بدك تعرف احصة و بدك تعرف
+
+740
+00:59:14,210 --> 00:59:17,790
+database و بدك تعرف برمجة و بدك تعرف machine
+
+741
+00:59:17,790 --> 00:59:21,690
+learningوبدك تعرف knowledge presentation وبدك تعرف
+
+742
+00:59:21,690 --> 00:59:28,130
+ترسم كل حاجة نعم ال course ماكسب للي بدوا يشتغل
+
+743
+00:59:28,130 --> 00:59:32,670
+ولي بدواش طيب
+
+744
+00:59:32,670 --> 00:59:37,870
+الآن عبّينا الجدول هاي عبّينا الجدول هذا جماعة
+
+745
+00:59:37,870 --> 00:59:40,830
+الخير في الامتحان اذا انا بدي اسألك في الموضوع هذا
+
+746
+00:59:40,830 --> 00:59:47,590
+لازم ازودك بال data اما هزودك بال dataas two rows
+
+747
+00:59:47,590 --> 00:59:54,610
+جدول مكوّن من two rows او هديك الجدول بدون ال
+
+748
+00:59:54,610 --> 00:59:58,410
+expected الآن
+
+749
+00:59:58,410 --> 01:00:03,810
+حسبت لل chi-square بناء على المعادلة ال actual
+
+750
+01:00:03,810 --> 01:00:07,850
+ناقص ال expected تربيع على ال expected على كل
+
+751
+01:00:07,850 --> 01:00:11,550
+الخلايا الأربع اللي موجودة في الجدول المحصلة كانت
+
+752
+01:00:11,550 --> 01:00:13,730
+خمسمية وسبعة
+
+753
+01:00:16,280 --> 01:00:20,860
+بما انه عدد الأعمد اللي عندي هان و الصفوف اتنين
+
+754
+01:00:20,860 --> 01:00:25,000
+اتنين ناقص واحد و ناقص واحد معناته انا بتكلم one
+
+755
+01:00:25,000 --> 01:00:29,820
+degree of freedom ال
+
+756
+01:00:29,820 --> 01:00:33,440
+hypothesis تبعتي one degree of freedom هتكون
+
+757
+01:00:33,440 --> 01:00:37,900
+المفروض عندي هان عشرة بناء على ال values اللي
+
+758
+01:00:37,900 --> 01:00:44,400
+موجودة لو انا اجيت للجدول هذا و
+
+759
+01:00:44,400 --> 01:00:51,980
+اين القيمة تبعتنا؟خمسمية و جدشي طلعت احنا
+
+760
+01:00:51,980 --> 01:00:54,460
+ليش بندور هيك one degree of freedom المفروض في
+
+761
+01:00:54,460 --> 01:00:59,160
+الصف الأول الآن
+
+762
+01:00:59,160 --> 01:01:02,820
+بناء على القيمة اللي موجودة عندك بناء على القيمة
+
+763
+01:01:02,820 --> 01:01:08,880
+اللي موجودة هان هيكون القرار ان انا فعليا اقبل او
+
+764
+01:01:08,880 --> 01:01:14,300
+ارفض ال
+
+765
+01:01:14,300 --> 01:01:15,560
+value اللي موجودة عندى هان
+
+766
+01:01:21,160 --> 01:01:26,300
+We need to reject بنرفض القيمة هذه وين؟ point zero
+
+767
+01:01:26,300 --> 01:01:31,900
+zero واحد إذا كانت القيمة اللي طالع يعني بالعقل
+
+768
+01:01:31,900 --> 01:01:34,700
+الإمام علي رضي الله عنه قال لو كان ال .. لو كان
+
+769
+01:01:34,700 --> 01:01:37,640
+الدينه بالعقل لا كان مسحه باطل الخفي أو لا من
+
+770
+01:01:37,640 --> 01:01:42,780
+ظاهرة صح؟ لما .. لما نمسح على الجربان في الشتاء
+
+771
+01:01:42,780 --> 01:01:47,020
+نمسح من فوق بينما الوسخ من أين بيجي؟ يعني من من
+
+772
+01:01:47,020 --> 01:01:51,330
+تحت بس الدين مش بالعقل مش كل شي بالعقل بيجيماشي
+
+773
+01:01:51,330 --> 01:01:58,530
+احمد؟ فانت بدك تروح تحسب عشان تثبت كلامك طيب ال
+
+774
+01:01:58,530 --> 01:02:02,710
+reduction الأخيرة اللي عندنا ال data reduction
+
+775
+01:02:02,710 --> 01:02:05,330
+اللي بتمتع من ال reduction خلصنا من ال attributes
+
+776
+01:02:05,330 --> 01:02:08,670
+احنا و قلت بقى أخلص من ال irrelevant attributes او
+
+777
+01:02:08,670 --> 01:02:12,230
+ال dependent attributes الآن بدي أعمل sampling
+
+778
+01:02:12,230 --> 01:02:15,870
+sampling يعني أنا بدي أتكلم على الروزة جماعة الخير
+
+779
+01:02:15,870 --> 01:02:20,090
+أنا خلصت غلصت عدد ال attributes الآن بدي أقلص عدد
+
+780
+01:02:21,080 --> 01:02:24,780
+الروز افترض
+
+781
+01:02:24,780 --> 01:02:29,540
+ان انا عندى الصندوق هذا وفيه
+
+782
+01:02:29,540 --> 01:02:43,100
+عشر كورات وقلتلك
+
+783
+01:02:43,100 --> 01:02:53,290
+بدي اسحب كورتين متتابعة كل واحدة بشكل مستقلتمام؟
+
+784
+01:02:53,290 --> 01:02:59,910
+احتمال ان الكورتين هدول يطلعوا حمر جداش؟ خلط
+
+785
+01:02:59,910 --> 01:03:08,590
+السحب الأولى اربعة على عشرة من جلك؟
+
+786
+01:03:08,590 --> 01:03:13,850
+حسب ال random sample تبعتي with replacement او
+
+787
+01:03:13,850 --> 01:03:17,670
+without هذا اللي انا بدو أوصلك إياه الآن انا في ال
+
+788
+01:03:17,670 --> 01:03:28,030
+samplingأو في الـ Random Sample في
+
+789
+01:03:28,030 --> 01:03:34,190
+عندي With Replacement و
+
+790
+01:03:34,190 --> 01:03:40,630
+Without Replacement مع
+
+791
+01:03:40,630 --> 01:03:44,870
+الإرجاع و بدون الإرجاع الآن احتمال أن أسحب كورتين
+
+792
+01:03:44,870 --> 01:03:56,610
+حمر مع الإرجاع4 على 10 ضرب 4 على 10 بدون
+
+793
+01:03:56,610 --> 01:04:06,250
+ارجع 4 على 10 ضرب 3 على 9 لأنه الآن اتغيرت ال
+
+794
+01:04:06,250 --> 01:04:09,890
+sample تبعتي او ال population تبعتي اتغيرت
+
+795
+01:04:09,890 --> 01:04:17,120
+وبالتالي جلت وقمتين تمامالان احنا معظم شغلنا لما
+
+796
+01:04:17,120 --> 01:04:21,300
+بنعمل sampling معظمه نتكلم sampling without
+
+797
+01:04:21,300 --> 01:04:26,180
+replacement لان انا مابديش تكرار انا فاحنا بنشتغل
+
+798
+01:04:26,180 --> 01:04:32,280
+هان without replacement ليش؟ لان كمان مرة عامالة
+
+799
+01:04:32,280 --> 01:04:35,060
+بقول انا بدي اخلص من التكرار اخلص من ال rows
+
+800
+01:04:35,060 --> 01:04:38,560
+المكررة اخلص من ال attributes المكررة فلو انا
+
+801
+01:04:38,560 --> 01:04:43,920
+الصاحب تبعي او ال random sample مع الارجاعممكن ال
+
+802
+01:04:43,920 --> 01:04:48,660
+record نفسه يظل يطلع عندى الشغل التانى اللى انا
+
+803
+01:04:48,660 --> 01:04:54,260
+بديهاها لان في ال random sampling تخيل انا اجيت و
+
+804
+01:04:54,260 --> 01:05:01,620
+قلتلك بدي 70 او عفوا بدي خمسين اربعين في المية من
+
+805
+01:05:01,620 --> 01:05:07,400
+ال data set هاي بدي تاخدلي اربعين في المية من ال
+
+806
+01:05:07,400 --> 01:05:07,960
+data set
+
+807
+01:05:13,280 --> 01:05:19,680
+كم كورة بقى تحطها انت؟ اربع كور بدك تسحب اربع كور
+
+808
+01:05:19,680 --> 01:05:27,300
+عشوائي شو
+
+809
+01:05:27,300 --> 01:05:32,240
+وراك بهيك؟ sample صح من ناحية sample without
+
+810
+01:05:32,240 --> 01:05:39,000
+replacement صح بس هي مشكلة ان ال data set ها ديلا
+
+811
+01:05:39,000 --> 01:05:42,560
+تمثل البيانات does not representative أنا قلت بدي
+
+812
+01:05:42,560 --> 01:05:47,540
+أجلل حجم ال data 6 نعم لكن بدي أبضل اتمثل الوضع
+
+813
+01:05:47,540 --> 01:05:54,520
+العام تبعتها مابيش الحل كيف أنا بدي أضمن نسبة نسبة
+
+814
+01:05:54,520 --> 01:06:00,380
+و تناسب 40% من الأحمر و 40% من الأسود وبهك بكون
+
+815
+01:06:00,380 --> 01:06:04,640
+حصلت على ال 40% و هذه ال 40% بنسميها stratified
+
+816
+01:06:05,470 --> 01:06:10,590
+Sampling أو بين جثين Supervised Sampling بروح على
+
+817
+01:06:10,590 --> 01:06:16,530
+كل class و باخد منه 40% ال data set موجودة حقيقة
+
+818
+01:06:16,530 --> 01:06:20,470
+نعم موزع على two classes three classes four
+
+819
+01:06:20,470 --> 01:06:26,310
+classes انا بدي 40% منها باخدهم ياشي Stratified
+
+820
+01:06:26,310 --> 01:06:30,270
+Sampling مباشرة بتجيبلي 30% من كل او 40% من كل
+
+821
+01:06:30,270 --> 01:06:34,400
+class ضايل عندنا نقطة واحدةفي موضوع الـ
+
+822
+01:06:34,400 --> 01:06:37,740
+Discretization في موضوع الـ Discretization يا شباب
+
+823
+01:06:37,740 --> 01:06:44,840
+الفكرة أنا قللت عدد ال attributes قللت عدد ال rows
+
+824
+01:06:44,840 --> 01:06:51,520
+بال sampling والآن بدي أقلل عدد ال distinct values
+
+825
+01:06:51,520 --> 01:06:55,060
+في ال attribute ال attribute نفسه موجود مش هقص منه
+
+826
+01:06:55,060 --> 01:06:58,860
+على مستوى ال rows وال attribute هيبقى بدي أجلل
+
+827
+01:06:58,860 --> 01:07:03,430
+العددالـ Variable .. Variant أو العدد الـ Values
+
+828
+01:07:03,430 --> 01:07:06,810
+أقل العدد الـ Values أو أقل ال Variety ال Variety
+
+829
+01:07:06,810 --> 01:07:11,550
+بين ال Values اللي موجودة بتفرج معايا؟ أه بتفرج
+
+830
+01:07:11,550 --> 01:07:17,970
+أنا عندي ال Age من عشر لخمسين نتكلم على تسعة و
+
+831
+01:07:17,970 --> 01:07:20,830
+أربعين distinct value واحد و أربعين .. واحد و
+
+832
+01:07:20,830 --> 01:07:24,090
+أربعين، صح؟ لأن الصفر موجود معناه واحد و أربعين
+
+833
+01:07:24,090 --> 01:07:27,490
+واحد و أربعين distinct value يعني ال rule تبعي بدي
+
+834
+01:07:27,490 --> 01:07:32,780
+احتوي على واحد و أربعين F41 condition هذا الكلام
+
+835
+01:07:32,780 --> 01:07:38,400
+مشكلة مابيش الحل اعمل discretization جلل ال values
+
+836
+01:07:38,400 --> 01:07:43,280
+اللي موجودة كيف لاحظ هي number number continuous
+
+837
+01:07:43,280 --> 01:07:47,820
+وانت بقى بتحولها discrete discretization بتعملهم
+
+838
+01:07:47,820 --> 01:07:52,500
+قيم يعني بينجوسين بقى بتعملهم فئات بس بده تحافظ
+
+839
+01:07:52,500 --> 01:07:57,850
+على الأرقام اللي موجودة الآن ممكن انت تستخدمطرق
+
+840
+01:07:57,850 --> 01:08:02,170
+سواء بالاعتماد على الـ Label أو بدونه Supervised و
+
+841
+01:08:02,170 --> 01:08:05,570
+Unsupervised بالـ Unsupervised بدي أطبق مفهوم الـ
+
+842
+01:08:05,570 --> 01:08:09,650
+Binning و أستبدل القيم بالـ Mean أو بالـ Medium زي
+
+843
+01:08:09,650 --> 01:08:13,530
+ما شوفنا وين في الـ Data Transformation يعني بيجي
+
+844
+01:08:13,530 --> 01:08:18,510
+هاي ال data set هاي ال data set two attributes ال
+
+845
+01:08:18,510 --> 01:08:22,070
+label مش هغير عليه درجة الحرارة اللي موجودة عندهان
+
+846
+01:08:22,070 --> 01:08:27,530
+بدي أعملها Discretization أجسمها Binningجالي اشتغل
+
+847
+01:08:27,530 --> 01:08:32,830
+على frequent او equal frequency مع تلت عناصر equal
+
+848
+01:08:32,830 --> 01:08:35,870
+frequency مع تلت عناصر رتبت ال attribute في الأول
+
+849
+01:08:35,870 --> 01:08:43,450
+ترتيب تصعدي وجسمتهم بعد هي تلتات وحطيت ال median
+
+850
+01:08:43,450 --> 01:08:47,150
+بتاعة كل واحد فيهم هاي discretization بنسميها
+
+851
+01:08:47,150 --> 01:08:51,970
+unsupervised discretization ال label ماتدخلش في
+
+852
+01:08:51,970 --> 01:08:56,920
+الموضوعالان في عندي بال supervised لأ بدي اعمل
+
+853
+01:08:56,920 --> 01:09:01,380
+حساب لل label نفس ال data set .. نفس ال data set
+
+854
+01:09:01,380 --> 01:09:07,180
+كل ما بيتغير ال label بدي اعتبر انه هادي bin او
+
+855
+01:09:07,180 --> 01:09:11,300
+هادي مجموعة 81
+
+856
+01:09:11,300 --> 01:09:16,580
+طبعا باجترطب ال data في البداية لازم كون بدي اجسم
+
+857
+01:09:16,580 --> 01:09:22,280
+بدي اجترطب ال data هاي لاحظ ال 64 هادي هتكون لحالة
+
+858
+01:09:23,310 --> 01:09:31,590
+الآن الـ 65 لحالها الـ 69 .. الـ 68 و69 و70 هدولة
+
+859
+01:09:31,590 --> 01:09:35,710
+one pen لأن كل ما بتغير ال label بيصير فيه pen
+
+860
+01:09:35,710 --> 01:09:43,730
+جديدة عفوا لأ وصل لأخر طب و كل pen حطله المين أو
+
+861
+01:09:43,730 --> 01:09:48,450
+ال media مش قضيتنا كتير في نوع تاني بس شكل الناس
+
+862
+01:09:48,450 --> 01:09:52,810
+اللي slide أضيفها أو في موضوع ال supervisedانه مش
+
+863
+01:09:52,810 --> 01:09:57,870
+كل ما بيتغير ال bin احط minimum لعدد ال bins قبل
+
+864
+01:09:57,870 --> 01:10:02,210
+التغير يعني ان ال class يظهر بعدد معين قبل ما يغير
+
+865
+01:10:02,210 --> 01:10:05,970
+لو اجينا جولنهان على نفسها ال data sorted بكل ما
+
+866
+01:10:05,970 --> 01:10:14,010
+يتغير او بعد اقل عدد تلت مرات من الظهور هحسب
+
+867
+01:10:14,010 --> 01:10:19,160
+التغير يعني انا بن جوسين بدي اروح ادور علىيعني مش
+
+868
+01:10:19,160 --> 01:10:23,440
+هبدل لل next pen إلا لما يكون واحد من ال classes
+
+869
+01:10:23,440 --> 01:10:30,340
+ظهر على الأقل عدد مرات تابعة وليكن تلاتة حاجة أن
+
+870
+01:10:30,340 --> 01:10:36,820
+هي data sorted yes مرة no مرة هيتغير ال class لكن
+
+871
+01:10:36,820 --> 01:10:43,380
+مش هعمل pen yes صاروا مرتين yes و no مرة تلاتة yes
+
+872
+01:10:43,380 --> 01:10:47,980
+وراها yes ماتغيرش لسه ماتغيرش الآن عند التغيير هنا
+
+873
+01:10:50,070 --> 01:10:55,470
+صار نو هذه كلها عبارة عن one pin ليش؟ لأن ال yes
+
+874
+01:10:55,470 --> 01:10:59,190
+ظهرت على الأقل تلت مرات و هي فعليا ظهرت واحدة
+
+875
+01:10:59,190 --> 01:11:03,310
+تنتين تلات أربع طب ال no مالاش داخل فيها موجودة
+
+876
+01:11:03,310 --> 01:11:08,330
+الآن هحسب المتوسط الحساب اللي هدول كلهم و أحطه هنا
+
+877
+01:11:08,330 --> 01:11:15,130
+اللي بعدها واحد واحد واحد نين تلاتة ال pin اللي
+
+878
+01:11:15,130 --> 01:11:20,700
+بعده لأنه صار في عندي تلاتة yesو بعدين انتقل لـ No
+
+879
+01:11:20,700 --> 01:11:24,760
+برضه نفس الكلام بجيب المتوسط الحسابي لهدول و هدول
+
+880
+01:11:24,760 --> 01:11:31,900
+الأخرانيات مع بعضهم البن الأخيرة تمام؟ وهكذا بكون
+
+881
+01:11:31,900 --> 01:11:35,240
+اننا خلصنا من ال discretization او خلصنا من ال
+
+882
+01:11:35,240 --> 01:11:38,440
+data reduction data reduction يعني في عندي feature
+
+883
+01:11:38,440 --> 01:11:42,160
+selection و في عندي sampling و في عندي
+
+884
+01:11:42,160 --> 01:11:46,580
+discretization وبهكذا احنا خلصنا ال chapter فعليا
+
+885
+01:11:46,580 --> 01:11:50,710
+دل عند ال assignment هذاال assignment هذا بقى
+
+886
+01:11:50,710 --> 01:11:54,150
+هتسلمني إياه يوم السبت الجاي .. اه يوم التنين
+
+887
+01:11:54,150 --> 01:11:57,910
+الجاي يوم التنين محاضرتنا التلاتة قبل ما تيجي على
+
+888
+01:11:57,910 --> 01:12:04,190
+المحاضرة يوم التنين بتكون سلم الان المطلوب منك
+
+889
+01:12:04,190 --> 01:12:10,240
+python باعتمادك على ال pythonتقرا ال data set
+
+890
+01:12:10,240 --> 01:12:14,340
+تبعتك و تطبق عليها ال cleaning التالي بناء على
+
+891
+01:12:14,340 --> 01:12:18,720
+الحاجة ال missing ال noise ال duplicate records ال
+
+892
+01:12:18,720 --> 01:12:22,960
+relevant attributes تشيل ال correlated attributes
+
+893
+01:12:22,960 --> 01:12:28,940
+كيف تشتغل على ال correlated attributes الان كل ال
+
+894
+01:12:28,940 --> 01:12:34,560
+attributes ال correlation تبعتهم بتزيد
+
+895
+01:12:34,560 --> 01:12:41,490
+عن ال 80% اكبر او تساوي 80%بدك تحذف تبقى واحد منهم
+
+896
+01:12:41,490 --> 01:12:44,410
+فقط و هيك انا اعدي التكرول و بدك تطبقه على الجميع
+
+897
+01:12:44,410 --> 01:12:51,910
+خلصنا تجسم ال data set ل سبعين و تلاتين training و
+
+898
+01:12:51,910 --> 01:12:57,630
+testing باعتمادك على stratified sampling و
+
+899
+01:12:57,630 --> 01:13:00,290
+تضيف enough comments على ال code اللي موجود عندك
+
+900
+01:13:01,090 --> 01:13:05,730
+جبل ما ترفعلي ملف بايثون individual كل واحد لحاله
+
+901
+01:13:05,730 --> 01:13:09,570
+اللي بده يشتغل صح نفسي ب data set بس شغلك انت غير
+
+902
+01:13:09,570 --> 01:13:12,990
+عن شغل زميلك ال comments تبعتك الطرق اللي انت حر
+
+903
+01:13:12,990 --> 01:13:16,770
+بدك تشتغل فيه بعدين هتتناقش انت و مجموعتك بس الشغل
+
+904
+01:13:16,770 --> 01:13:20,970
+بال بايثون individual بشكل فردي الآن في بعض
+
+905
+01:13:20,970 --> 01:13:24,050
+الأكواد موجودة في ال slide هتريحك في جزئيات كبيرة
+
+906
+01:13:25,420 --> 01:13:28,560
+كنت من أول السنة .. من أول الشهر الماضي و أنا بقول
+
+907
+01:13:28,560 --> 01:13:31,720
+لك الشباب اللي أنا كنت اعمل install ازا انت عملي
+
+908
+01:13:31,720 --> 01:13:34,440
+install انت ready تشتغل البكرة او تشتغل ان الآن
+
+909
+01:13:34,440 --> 01:13:40,100
+ماعملتش install اصلا بدك .. هتاخد وجهت .. الآن ده
+
+910
+01:13:40,100 --> 01:13:43,720
+هتشتغل individual ترفعلي شغل ملف ال python هذا على
+
+911
+01:13:43,720 --> 01:13:48,640
+ال model بشكل مستقل و بعدين بتتناقش انت و مجموعتك
+
+912
+01:13:48,640 --> 01:13:52,420
+لاحقا زي ما هنقول لك .. اه يا هب .. اه هذا الآن
+
+913
+01:13:52,420 --> 01:13:54,820
+بطلع من هنا ان شاء الله تعالى هروح نرفعلكي على ال
+
+914
+01:13:54,820 --> 01:13:59,360
+modelولا أي همك ان شاء الله تمام الشباب يعطيكم
+
+915
+01:13:59,360 --> 01:14:01,840
+العافية و نهاية أسبوع سعيدة ان شاء الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4.srt
new file mode 100644
index 0000000000000000000000000000000000000000..c16be2f1caebfe5bd85e8b8712a898b8faa3569d
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4.srt
@@ -0,0 +1,1427 @@
+1
+00:00:00,910 --> 00:00:04,730
+بسم الله والحمد لله والصلاة والسلام على رسول
+
+2
+00:00:04,730 --> 00:00:08,090
+الله، اليوم إن شاء الله تعالى، في التسجيل هذا المحاضر
+
+3
+00:00:08,090 --> 00:00:13,910
+عليه، هنشغل عملياً فيه مع موضوع الـclustering و
+
+4
+00:00:13,910 --> 00:00:17,550
+هنبدأ في مع الـk-means، الـdata set اللي هنشغل
+
+5
+00:00:17,550 --> 00:00:21,170
+عليها مؤقتاً، أو هنشغل عليها، هي عبارة عن جزء
+
+6
+00:00:21,170 --> 00:00:27,430
+صغير من الـiris، المكونة من 30 row، اللي هو مع كل
+
+7
+00:00:27,430 --> 00:00:33,310
+عشرة row بتخضع لـclass معين: sitosa وversicolor و
+
+8
+00:00:33,310 --> 00:00:37,170
+virginica. هذه الـdata set اللي موجودة، أو أنا هشغل
+
+9
+00:00:37,170 --> 00:00:42,150
+عليها. خلينا بداية، طبعاً كالعادة، مع أي مشروع احنا أو
+
+10
+00:00:42,150 --> 00:00:44,950
+معايا بالـpython وprogram في الـdata science أو
+
+11
+00:00:44,950 --> 00:00:50,570
+في الـdata mining، بيلزمني أن أحمل البيانات اللي
+
+12
+00:00:50,570 --> 00:00:55,510
+موجودة عندي. فخلينا نبدأ، هذه comment، أنا هبدي
+
+13
+00:00:55,510 --> 00:01:05,610
+أعمل import للـdata set، طبعاً بيلزمني أستخدم الـ
+
+14
+00:01:05,610 --> 00:01:12,150
+pandas. import pandas
+
+15
+00:01:12,150 --> 00:01:13,670
+as pd
+
+16
+00:01:26,850 --> 00:01:32,410
+الآن بدي اسمي الـdata set: iris = pandas
+
+17
+00:01:32,410 --> 00:01:36,530
+.read
+
+18
+00:01:36,530 --> 00:01:49,870
+_csv("اسم الملف الموجود في نفس الـfolder: iris-mini
+
+19
+00:01:49,870 --> 00:01:52,990
+.csv")
+
+20
+00:02:00,180 --> 00:02:03,400
+إذا أنا بدي أتأكد أن عملية الـloading صحيحة
+
+21
+00:02:03,400 --> 00:02:12,140
+أو لا، ممكن أتأكد وأقول له الـiris.head
+
+22
+00:02:12,140 --> 00:02:15,660
+أقول له الـhead، هي بتتكلم على by default خمس صفوف،
+
+23
+00:02:15,660 --> 00:02:18,760
+لكن ممكن أخليها ثلاثة أو أربعة.
+
+24
+00:02:34,600 --> 00:02:51,360
+بداية موثقة إن شاء الله، قرأنا
+
+25
+00:02:51,360 --> 00:02:54,970
+الـdata set. هذه المفروضة الطريقة، أو هذه الخطوة يعني
+
+26
+00:02:54,970 --> 00:03:00,670
+ما فيش فيها خطأ مطلقاً. طيب، الآن بما أن أنا بدي أشتغل
+
+27
+00:03:00,670 --> 00:03:11,130
+unsupervised learning task، فأنا بدي أفصل، عفواً،
+
+28
+00:03:11,130 --> 00:03:15,430
+الـlabel، الـlabel attribute عن الـdata set، فأنا
+
+29
+00:03:15,430 --> 00:03:18,530
+هروح أقول إن في عندي الـattribute
+
+30
+00:03:20,420 --> 00:03:34,540
+أوكي، خلّيني أقوم بإعادة split data, attribute and
+
+31
+00:03:34,540 --> 00:03:44,680
+label الآن.
+
+32
+00:03:44,680 --> 00:03:51,670
+سأقوم بإعادة الـattribute equal، الـiris، أنا بدي كل
+
+33
+00:03:51,670 --> 00:03:55,290
+الـdata set .drop، طبعاً هذه اللي اتعلمناها في موضوع
+
+34
+00:03:55,290 --> 00:03:59,050
+الـpreprocessing.
+
+35
+00:03:59,050 --> 00:04:05,750
+اسم الـattribute الـvariety، إذا أنا مش غلطان،
+
+36
+00:04:05,750 --> 00:04:09,150
+variety
+
+37
+00:04:16,110 --> 00:04:23,610
+Okay، طبعاً هذا الكود موجود لأن أنا على axis=1،
+
+38
+00:04:23,610 --> 00:04:42,270
+و من دي الـlabels attributes.
+
+39
+00:04:42,270 --> 00:04:51,740
+و labels=، iris of
+
+40
+00:04:51,740 --> 00:04:55,460
+الـvariety.
+
+41
+00:04:55,460 --> 00:05:04,940
+تمام، هيك أنا الـdata فصلتها.
+
+42
+00:05:04,940 --> 00:05:09,800
+تمام، معايا من
+
+43
+00:05:09,800 --> 00:05:15,000
+وبينكم، هو مش مُتحمل، أنا بكتب نص اسمه الـlabel
+
+44
+00:05:15,000 --> 00:05:17,760
+فأنا فصلت الـdata attributes هيك، و الـlabel
+
+45
+00:05:17,760 --> 00:05:28,020
+attribute، تمام.
+
+46
+00:05:28,020 --> 00:05:36,540
+أصبح لدي الآن الـdata set متوفرة، لكن أنا فيه مشكلة
+
+47
+00:05:36,540 --> 00:05:42,850
+حقيقية، إنه لما أنا بدي أعمل cluster للـdata set
+
+48
+00:05:42,850 --> 00:05:46,870
+تبعي، هتظهر… هيديني أرقام clusters، الـlabels
+
+49
+00:05:46,870 --> 00:05:50,730
+هيديني أرقام clusters، و الأرقام اللي عندي أنا فعلياً
+
+50
+00:05:50,730 --> 00:05:55,490
+هي عبارة عن… اللهم صلّ على سيدنا محمد… عن nominal
+
+51
+00:05:55,490 --> 00:06:00,030
+class، وبالتالي أنا لازم ألاقي عندي طريقة معينة
+
+52
+00:06:00,030 --> 00:06:02,710
+عشان أقدر أقارن بيهم… إذا أنا بدي أتكلّم في موضوع
+
+53
+00:06:02,710 --> 00:06:06,910
+الـmajority، لو أنا بدي أتّجه للخطوة هذه، وهرجع لها
+
+54
+00:06:06,910 --> 00:06:13,320
+بعدين. هي كانت مباشرةً الآن، خلّينا نروح على الـ
+
+55
+00:06:13,320 --> 00:06:17,600
+sklearn.cluster
+
+56
+00:06:17,600 --> 00:06:20,620
+import
+
+57
+00:06:20,620 --> 00:06:26,460
+KMeans. import KMeans
+
+58
+00:06:37,490 --> 00:06:41,430
+الآن بدي أبني model مثل ما كنت بشغل معاه في الـ
+
+59
+00:06:41,430 --> 00:06:51,610
+classification، من الـKMeans، و
+
+60
+00:06:51,610 --> 00:06:56,270
+number of clusters، الـargument، كم cluster اللي هي
+
+61
+00:06:56,270 --> 00:07:05,870
+الـK تبعنا، أنا هروح أقول له ثلاثة. model.
+
+62
+00:07:07,920 --> 00:07:13,640
+fit، عشان يدرس الـdata set، وقلنا بدي أتعامل مع الـ
+
+63
+00:07:13,640 --> 00:07:25,220
+attributes فقط. okay، هاي import، okay.
+
+64
+00:07:25,220 --> 00:07:33,480
+KMeans from sklearn
+
+65
+00:07:36,700 --> 00:07:42,660
+بأورد، وbuild، وcreate كـKMeans object.
+
+66
+00:07:47,690 --> 00:07:52,070
+تمام، عملنا fit، وهي كانت الأمور تمام. الخطوة اللي
+
+67
+00:07:52,070 --> 00:07:56,690
+بعد هيك، إيش بتتوقع إن أنا بدي أسوي؟ فيه بدي أتعرف
+
+68
+00:07:56,690 --> 00:08:00,310
+على الـclasses اللي موجودة عندها. طبعاً الـmethod
+
+69
+00:08:00,310 --> 00:08:02,910
+اللي كنا نشوفها مع الـclass، مع الـclassification
+
+70
+00:08:02,910 --> 00:08:09,050
+اللي هي method الخاصة بالـprediction
+
+71
+00:08:09,050 --> 00:08:13,470
+مع الـclassification، هي نفسها مازالت متاحة، أما إن
+
+72
+00:08:13,470 --> 00:08:14,850
+أنا هروح وأقول له y
+
+73
+00:08:20,450 --> 00:08:31,910
+y_pred = model.predict
+
+74
+00:08:31,910 --> 00:08:38,210
+طبعاً، و الـpredict هذه كالعادة بده تأخذ برضه من
+
+75
+00:08:41,820 --> 00:08:45,500
+الـattributes، اللي هي الـdata set، هو راح يدرسهم
+
+76
+00:08:45,500 --> 00:08:49,460
+هنا في الـfit، راح أدرس الـattributes وأعمل
+
+77
+00:08:49,460 --> 00:08:52,860
+computation حسب الـmeans. الآن في الـpredict، بدي
+
+78
+00:08:52,860 --> 00:08:57,920
+يديني قائمة بالـclasses اللي بتنتمي لها كل
+
+79
+00:08:57,920 --> 00:09:03,270
+instance، أو قائمة بالـclasses بحيث إن… يعني
+
+80
+00:09:03,270 --> 00:09:06,370
+هيبعت لي قائمة من 30 element، بنفس عدد الـdata set،
+
+81
+00:09:06,370 --> 00:09:09,890
+لكن هذه الـvalue اللي فيها بتمثل الـcluster number،
+
+82
+00:09:09,890 --> 00:09:13,510
+اللي… عفواً، الـcluster number اللي بتنتمي له الـ
+
+83
+00:09:13,510 --> 00:09:18,710
+instance اللي موجودة عندها. لو أنا حبيت أنا أطبع،
+
+84
+00:09:18,710 --> 00:09:24,910
+print y_pred، وهي
+
+85
+00:09:24,910 --> 00:09:25,130
+run.
+
+86
+00:09:30,860 --> 00:09:36,000
+أي data set اللي طلعت عندي هنا، أي هدول عشرة لو
+
+87
+00:09:36,000 --> 00:09:43,830
+عدّيناهم، وهي كمان عشرة، وهي كمان عشرة. لاحظوا معايا إن
+
+88
+00:09:43,830 --> 00:09:46,410
+العشرة اللي في الآخر هدول، يعني هذه الـ
+
+89
+00:09:46,410 --> 00:09:49,570
+instance تنتمي للـcluster الأول. هذه الـinstance، عفواً،
+
+90
+00:09:49,570 --> 00:09:53,190
+للـcluster الأول. الـinstance هي للـcluster الثاني.
+
+91
+00:09:53,190 --> 00:09:56,950
+الـinstance هي للـcluster الثاني. ليش؟ لأنه أخذ
+
+92
+00:09:56,950 --> 00:10:01,350
+الأرقام للـclusters بنفس الترتيب اللي موجود، بيبدأ
+
+93
+00:10:01,350 --> 00:10:06,530
+صفر، واحد، اثنين، ثلاثة، أربعة، بحسب العدد اللي أنا
+
+94
+00:10:06,530 --> 00:10:09,310
+أنا عدّلت هنا، وقلت له عدد الـclusters تبعها 2،
+
+95
+00:10:09,310 --> 00:10:14,710
+وعملت run، هذه.
+
+96
+00:10:14,710 --> 00:10:18,870
+بس 0، 1، تمام؟ لو أنا قلت له 4،
+
+97
+00:10:26,090 --> 00:10:30,990
+هي دور الرقم ثلاثة في الـcluster، فهو دائماً مجبر أن
+
+98
+00:10:30,990 --> 00:10:35,550
+يوزّع حسب العناصر الموجودة. لو قلت له خمسة في
+
+99
+00:10:35,550 --> 00:10:39,490
+التجربة الأخيرة مع الـK، زي ما قلنا سابقاً، ما فيش
+
+100
+00:10:39,490 --> 00:10:42,710
+لازم يكون كل العناصر موجودة، استحالة ألا يجي
+
+101
+00:10:42,710 --> 00:10:47,850
+cluster فاضي، ليش؟ لأنه بيلزمه، بيلزمه أن الـdata set
+
+102
+00:10:47,850 --> 00:10:51,370
+تتوزع على عدد معين من الـclusters، وقلنا هذه هي
+
+103
+00:10:51,370 --> 00:10:54,470
+التحدي الأساسي الموجود في الـKMeans أو في الـ
+
+104
+00:10:54,470 --> 00:10:57,590
+partitional clustering، إن أنا أكون فعلياً عارف عدد
+
+105
+00:10:57,590 --> 00:11:00,950
+الـclusters مسبقاً. أنا فعلياً الـdata set تبعي
+
+106
+00:11:00,950 --> 00:11:03,370
+مكونة من الـthree clusters، فـalready هي من الـ
+
+107
+00:11:03,370 --> 00:11:07,590
+three clusters، الآن.
+
+108
+00:11:07,590 --> 00:11:12,230
+لو أنا بدي أروح أعمل metric، بدي أسأل الآن، هي بدها
+
+109
+00:11:12,230 --> 00:11:12,750
+أروح الـ
+
+110
+00:11:15,990 --> 00:11:27,230
+بس هنحطها comment: find the clusters list
+
+111
+00:11:27,230 --> 00:11:38,190
+for the data set. find أو predict، لأن في الآخر
+
+112
+00:11:38,190 --> 00:11:42,110
+عملية prediction اللي احنا بنتكلم
+
+113
+00:11:49,020 --> 00:11:53,000
+اللي في الآخر، عملية prediction، تمام. الآن مثلها مثل
+
+114
+00:11:53,000 --> 00:11:57,840
+الـclassification task، أو الـ… أنا في عندي الـ
+
+115
+00:11:57,840 --> 00:12:00,400
+matrix، فممكن أنا بدي أروح لمرحلة الـevaluation.
+
+116
+00:12:00,400 --> 00:12:07,960
+الآن لو
+
+117
+00:12:07,960 --> 00:12:12,780
+أنا رحت طبعاً from sklearn.
+
+118
+00:12:12,780 --> 00:12:18,340
+metrics import
+
+119
+00:12:24,970 --> 00:12:32,430
+بأورد الـmatrix، الـ
+
+120
+00:12:32,430 --> 00:12:40,990
+contingency الـ
+
+121
+00:12:40,990 --> 00:12:47,190
+contingency matrix.
+
+122
+00:12:47,190 --> 00:12:49,110
+=
+
+123
+00:13:03,230 --> 00:13:05,590
+metrics.cluster.contingency_matrix، وإيش الـ
+
+124
+00:13:05,590 --> 00:13:10,150
+contingency matrix؟ هيها، حسب الـhelp، بتاخد مني two
+
+125
+00:13:10,150 --> 00:13:14,030
+parameters، بتاخد مني الـtrue label، وبتاخد مني اللي
+
+126
+00:13:14,030 --> 00:13:16,710
+بدي label، لأن الـlabel السابعة اللي موجودة في الـ
+
+127
+00:13:16,710 --> 00:13:22,560
+label، صحيح، عشان أورّيكم إن الاستدعاء للـlabels وهيها،
+
+128
+00:13:22,560 --> 00:13:30,920
+وهي كومة، وهي الـy_pred. لو
+
+129
+00:13:30,920 --> 00:13:37,680
+أنا قلت له print للـcontingency matrix، وعملت
+
+130
+00:13:37,680 --> 00:13:37,940
+run.
+
+131
+00:13:47,130 --> 00:13:55,510
+اللي صار إنه أخذ هو فعلياً الـ… الصحيح، دائماً العمل
+
+132
+00:13:55,510 --> 00:14:04,630
+بيحمل مفاجآت جديدة. أنا الـ… okay، اللي
+
+133
+00:14:04,630 --> 00:14:09,670
+صار عندي هنا، إنه هي الـdata set توزّعت، قال لي إن الـ
+
+134
+00:14:09,670 --> 00:14:13,670
+class هي، contingency، إن الـattribute أو الـcluster
+
+135
+00:14:13,670 --> 00:14:17,190
+الأول pure، العشرة اللي فيه، وهي… لو الصفر، هدول
+
+136
+00:14:17,190 --> 00:14:22,410
+عشرة، تمام. الـclass الثاني اللي هو واحد، فيه عشرة
+
+137
+00:14:22,410 --> 00:14:25,930
+كذلك، ما فيش فيه pure، بناءً على المقارنة اللي موجودة.
+
+138
+00:14:25,930 --> 00:14:33,230
+لو عدّيت هدول، أنا اثنين،
+
+139
+00:14:33,230 --> 00:14:34,450
+ستة،
+
+140
+00:14:36,250 --> 00:14:42,110
+عشرة أو عشرة، تمام. لكن قال لي إن في عندي مشكلة، أنا
+
+141
+00:14:42,110 --> 00:14:46,970
+إنه في الـclass الثالث موزّع، ما بين فعلياً، مش pure،
+
+142
+00:14:46,970 --> 00:14:52,070
+بالأساس، إن القيم تبعته مختلفة عن العناصر اللي
+
+143
+00:14:52,070 --> 00:14:58,220
+موجودة، وبالتالي قيمة الـcontingency matrix هي… يعني
+
+144
+00:14:58,220 --> 00:15:01,740
+أنا فعلياً هو في عنده مشكلة مع الـcluster الثالث في
+
+145
+00:15:01,740 --> 00:15:06,640
+موضوع التقييم. لو أنا رحت هنا وقلت له أربعة، إيش
+
+146
+00:15:06,640 --> 00:15:14,220
+حيصير عندي هنا؟ جاب
+
+147
+00:15:14,220 --> 00:15:18,760
+لي مصفوفة أربعة في أربعة، وحاول يتعرف على الـdata
+
+148
+00:15:18,760 --> 00:15:25,630
+set اللي موجودة عندي. طيب، ليش ثلاثة في أربعة، مش
+
+149
+00:15:25,630 --> 00:15:28,650
+أربعة في أربعة؟ الأصل أنا أكون أربعة في أربعة، لأن
+
+150
+00:15:28,650 --> 00:15:33,130
+الـlabels اللي عندي أنا فعلياً هم ثلاثة، اللي في الـ
+
+151
+00:15:33,130 --> 00:15:36,790
+true label، هدول ثلاثة، وبالتالي المقارنة بدها تكون
+
+152
+00:15:36,790 --> 00:15:46,450
+دائماً صحيحة، طبعاً.
+
+153
+00:15:46,450 --> 00:15:46,810
+كذلك
+
+154
+00:15:50,590 --> 00:15:54,970
+في عندي من الـmatrix اللي حكينا عليها سابقاً، اللي
+
+155
+00:15:54,970 --> 00:16:01,030
+هي adjusted rand score، و الـpurity. الـpurity طبعاً
+
+156
+00:16:01,030 --> 00:16:04,070
+اللي بنحسبها، هي maximum لكل row في
+
+157
+00:16:04,070 --> 00:16:08,490
+المصفوفة: عشرة، عشرة، ثمانية، ثمانية وعشرين على
+
+158
+00:16:08,490 --> 00:16:11,550
+ثلاثين، هي الـpurity تبع الـalgorithm اللي موجود
+
+159
+00:16:11,550 --> 00:16:15,270
+عندي. لكن لو أنا بدي أتكلّم على الـadjusted rand
+
+160
+00:16:15,270 --> 00:16:20,500
+index، هروح أقول له، من الـmatrix اللي هي عندي، الـ
+
+161
+00:16:20,500 --> 00:16:28,620
+cluster. الـadjusted rand score.
+
+162
+00:16:28,620 --> 00:16:36,130
+نفس الكلام، بتاخد مني الـlabels اللي موجودة. خلّينا
+
+163
+00:16:36,130 --> 00:16:42,210
+نعمل run، نحن هنا، بس أعطاني إنها رقم، أيها 0.8،
+
+164
+00:16:42,210 --> 00:16:46,410
+وكنا متّفقين إن الـadjusted rand index، كل ما قربت
+
+165
+00:16:46,410 --> 00:16:50,610
+للواحد، يكون الأداء للـcluster، للـalgorithm تبعي
+
+166
+00:16:50,610 --> 00:16:51,970
+أفضل، فهي قيمتها هنا
+
+167
+00:16:57,350 --> 00:17:02,150
+بنفس النظام، ممكن أنا أجيبها، وهذه عبارة عن مجموعة
+
+168
+00:17:02,150 --> 00:17:09,150
+من الـmetrics، كذلك. خلّينا نسمّيها nmi =، نفس الكلام
+
+169
+00:17:09,150 --> 00:17:17,210
+السابق، metrics.cluster.
+
+170
+00:17:19,300 --> 00:17:23,340
+نقوم باستخدام البرنامج normalized_mutual_info_score، نقوم باستخدام
+
+171
+00:17:23,340 --> 00:17:30,920
+البرنامج normalized_mutual_info_score، نقوم باستخدام البرنامج
+
+172
+00:17:30,920 --> 00:17:36,960
+normalized_mutual_info_score، نقوم باستخدام البرنامج normalized_mutual_info_score
+
+173
+00:17:41,330 --> 00:17:49,990
+هذه هي قيمة الـnmi نوعاً ما عندي، تمام. الخطأ
+
+174
+00:17:49,990 --> 00:17:56,570
+اللي كان warning، مش خطأ، warning
+
+175
+00:17:56,570 --> 00:18:02,690
+FutureWarning: the behavior will not change. أنا
+
+176
+00:18:02,690 --> 00:18:07,110
+بتكلم إن الـNMI حسب الـversion، أنا صحيح عملت
+
+177
+00:18:07,110 --> 00:18:11,930
+update قريب، وهي المفاجآت اللي موجودة عندها، تمام.
+
+178
+00:18:11,930 --> 00:18:16,170
+هذا ما يتعلق في الـpartitional clustering. نعمل
+
+179
+00:18:16,170 --> 00:18:19,410
+review على السريع، إيش اللي سوّيناه؟ طبعاً زي ما تشوفوا
+
+180
+00:18:19,410 --> 00:18:24,170
+جامعة الخيارات، الـpython سهل، مش بحاجة لـ… ما فيش
+
+181
+00:18:24,170 --> 00:18:27,690
+فيه تعقيدات، دي functions ت
+
+223
+00:23:20,060 --> 00:23:24,040
+اللي بعده طبعا كل نقطة زي ما قلنا سابقا هي بدأتبع
+
+224
+00:23:24,040 --> 00:23:27,560
+بعضهم كل cluster بدأ يشتغل كل نقطة كانت cluster
+
+225
+00:23:27,560 --> 00:23:31,980
+لكن النص اللي زي هذا غير مفهوم عشان أنا استوعبه صح
+
+226
+00:23:31,980 --> 00:23:37,760
+يلزمني أن ارسمه، يلزمني أن ارسمه طيب عشان أنا ارسمه
+
+227
+00:23:37,760 --> 00:23:51,160
+بس خليني هنا نحط comment and import and build
+
+228
+00:24:05,560 --> 00:24:11,260
+Hierarchical cluster model
+
+229
+00:24:16,260 --> 00:24:21,000
+خلّينا من جزئية الرسم، انتهينا منها الآن أو عفواً
+
+230
+00:24:21,000 --> 00:24:23,980
+الطباعة، بدي اروح على جزئية الرسم عشان في عند
+
+231
+00:24:23,980 --> 00:24:30,900
+المكتبة المشهورة اللي هي الـ math plot library الـ
+
+232
+00:24:30,900 --> 00:24:34,700
+math اختصار لـ  math plot library، تحتمل للرسم، هبقى
+
+233
+00:24:34,700 --> 00:24:45,930
+بقوله import matplotlib.pyplot  واختصرها matplotlib
+
+234
+00:24:45,930 --> 00:24:51,230
+بروفيشنال، الآن الخطوة اللي هشتغل عليها
+
+235
+00:24:53,810 --> 00:24:57,570
+لأن أنا لن أتعامل مع الـ labels اللي موجودة عندي
+
+236
+00:24:57,570 --> 00:25:02,650
+فأنا بدي أضع الـ range و اعمل index للنقاط اللي
+
+237
+00:25:02,650 --> 00:25:08,190
+موجودة عندي هنا، هروح أنا في عندي الخطوة اللي
+
+238
+00:25:08,190 --> 00:25:11,430
+استدعيناها تبع الترسم، مافيها مشكلة، انتهينا، هروح
+
+239
+00:25:11,430 --> 00:25:20,170
+أقول له أنا الـ label list تبعتي تساوي
+
+240
+00:25:20,170 --> 00:25:20,810
+الـ range
+
+241
+00:25:29,390 --> 00:25:33,110
+عند ثلاثين element، تبدأ نقاط تأخذ واحد واحدة لأن
+
+242
+00:25:33,110 --> 00:25:37,530
+أنا بدي ارسمهم على شكل dendrogram، ليس من نقطة
+
+243
+00:25:37,530 --> 00:25:37,810
+صفر
+
+244
+00:25:40,690 --> 00:25:47,390
+فمش هارسمه على الـ X axis و الـ Y في الـ 2D plane في
+
+245
+00:25:47,390 --> 00:25:50,190
+الـ X و الـ Y، فمش هبدأ من عند النقطة صفر، هبدأ من عند
+
+246
+00:25:50,190 --> 00:25:54,010
+النقطة واحد، والـ range تبعتي من واحد إلى ثلاثين
+
+247
+00:25:54,010 --> 00:26:00,310
+هذا غير متضمن فيهم، فهيكون عندي الـ list تبعتي هنا
+
+248
+00:26:00,310 --> 00:26:05,090
+ثلاثين element، ثلاثين element بناء على الـ list
+
+249
+00:26:05,090 --> 00:26:09,620
+اللي موجودة على الـ range اللي موجود عندي، طيب هذه مش
+
+250
+00:26:09,620 --> 00:26:13,700
+كتير لها علاقة بالرسم، يعني ممكن أنا أحطها فوق لكن
+
+251
+00:26:13,700 --> 00:26:19,160
+هتلزمني فعلياً جزئية الرسم بشكل كبير، طيب الآن بدي
+
+252
+00:26:19,160 --> 00:26:24,980
+... بس أنا عشان أقول أنه الآن أنا بدأت أحضر للـ
+
+253
+00:26:24,980 --> 00:26:37,400
+dendrogram، بدي ارسم plot the dendrogram
+
+254
+00:26:47,630 --> 00:26:58,430
+make a list of labels for هي المفروض الـ
+
+255
+00:26:58,430 --> 00:27:02,750
+instance list instance
+
+256
+00:27:02,750 --> 00:27:12,730
+list instance
+
+257
+00:27:12,730 --> 00:27:16,650
+list أو اسمها list، أسهل
+
+258
+00:27:19,200 --> 00:27:25,260
+sample list for data
+
+259
+00:27:25,260 --> 00:27:31,460
+samples تمام
+
+260
+00:27:31,460 --> 00:27:34,980
+الآن
+
+261
+00:27:34,980 --> 00:27:42,520
+عملت import import
+
+262
+00:27:42,520 --> 00:27:48,440
+لـ matplotlib library
+
+263
+00:27:55,150 --> 00:28:01,110
+الخطوة اللي بعدها، هيك في داخل الـ plt بدي أجهز للصورة
+
+264
+00:28:01,110 --> 00:28:08,310
+هي figure figure
+
+265
+00:28:08,310 --> 00:28:15,050
+حجم الصورة، جداش بدي احدد له، يا الـ figsize
+
+266
+00:28:15,050 --> 00:28:24,730
+مثلاً عشرة عرض وسبعة، أنا فعلياً الأرض
+
+267
+00:28:24,730 --> 00:28:30,950
+عندي هتكون ثلاثين، وبخلي الارتفاع خمسة عشر، خليني
+
+268
+00:28:30,950 --> 00:28:33,470
+أشوف كيف نتيجتها هنا، بس في الآخر يعني في الآخر هي
+
+269
+00:28:33,470 --> 00:28:38,190
+الصورة هتظهر في الـ area الخاصة بالـ plot اللي موجودة
+
+270
+00:28:38,190 --> 00:28:43,810
+عندها، هتشوفها لما نعمل الـ run، طيب تمام، الـ figure هذه
+
+271
+00:28:43,810 --> 00:28:48,450
+خلاص أنا عشان أضيف الـ ... بدي أستخدم الآن الـ
+
+272
+00:28:48,450 --> 00:28:52,650
+dendrogram، الـ dendrogram بتاخد مني مجموعة عناصر
+
+273
+00:28:52,650 --> 00:28:57,730
+بتاخد مني الـ model هذه، الـ axis، الـ model تبعي
+
+274
+00:28:57,730 --> 00:29:03,330
+بتاخد مني الـ orientation، الـ orientation أنا ...
+
+275
+00:29:03,330 --> 00:29:07,030
+الـ ... الـ ... الـ ... الاتجاه تبع الرسم، بيكون عمو
+
+276
+00:29:07,030 --> 00:29:14,890
+... أفقي ولا عمودي ولا كيف، أنا هروح أقول له الـ top الـ
+
+277
+00:29:14,890 --> 00:29:20,470
+labels تبع الـ x axis أنا
+
+278
+00:29:20,470 --> 00:29:21,570
+في عندي الـ sample list
+
+279
+00:29:25,360 --> 00:29:31,140
+الترتيب، الـ distance distance
+
+280
+00:29:31,140 --> 00:29:37,820
+source، الآن احنا متفقين أن الـ elements موجودة
+
+281
+00:29:37,820 --> 00:29:42,580
+sequential 1 2 3 4 5 6 هذا الـ sample data، لكن مش
+
+282
+00:29:42,580 --> 00:29:49,780
+بالضرورة الـ instance الأولى هي الأولى، عملية الدمج
+
+283
+00:29:49,780 --> 00:29:55,080
+هتتم بين أقصر two distances، لما أنا بقول رتب ليهم
+
+284
+00:29:55,080 --> 00:29:57,140
+تصاعدي أو تنازلي
+
+285
+00:30:10,640 --> 00:30:14,480
+descending، فأنا ركبتهم ترتيب تنازلي عشان فعلياً
+
+286
+00:30:14,480 --> 00:30:18,640
+يُساعد descending، تنازلي عشان يبدأ يقول من المسافة
+
+287
+00:30:18,640 --> 00:30:23,980
+الأكبر، بين من تم عملية الدمج، طيب أنا جماعة الخير لو
+
+288
+00:30:23,980 --> 00:30:26,840
+انتوا بتستخدموا الـ Python، الـ Matplotlib، المفروض في
+
+289
+00:30:26,840 --> 00:30:31,400
+عندك library هنا بتوضح لك كل الـ arguments، بتديك
+
+290
+00:30:31,400 --> 00:30:35,540
+تفاصيل كاملة، أو بتديكم تفاصيل كاملة عن العناصر أو
+
+291
+00:30:35,540 --> 00:30:39,500
+اللي أنتم بتشتغلوها، على سبيل المثال احنا شغالين
+
+292
+00:30:39,500 --> 00:30:46,760
+و ينهي الـ descending الـ
+
+293
+00:30:46,760 --> 00:30:49,720
+distance for each node and order
+
+294
+00:30:59,460 --> 00:31:04,880
+أقصر أو أكبر مسافات، هيبدأ يرتب ليهم بالترتيب
+
+295
+00:31:04,880 --> 00:31:08,540
+التنازلي اللي موجود عندي، يعني أقصر أو أكبر مسافات
+
+296
+00:31:08,540 --> 00:31:09,360
+أقصر أو أكبر مسافات، هيبدأ يرتب ليهم بالترتيب
+
+297
+00:31:09,360 --> 00:31:09,980
+التنازلي اللي موجود عندي، أقصر أقصر أو أكبر مسافات
+
+298
+00:31:09,980 --> 00:31:15,740
+هيبدأ يرتب ليهم بالترتيب
+
+299
+00:31:15,740 --> 00:31:19,300
+التنازلي اللي موجود عندي، أقصر أقصر أقصر أقصر أقصر
+
+300
+00:31:19,300 --> 00:31:22,690
+أقصر أقصر أقصر أقصر، تظهر الـ leaf وعدد الـ
+
+301
+00:31:22,690 --> 00:31:30,250
+elements اللي فيها، I show leaf count والخيار true
+
+302
+00:31:30,250 --> 00:31:36,050
+هي كده dendrogram جهز، المفروض بقى اللي عندي أنا اروح
+
+303
+00:31:36,050 --> 00:31:44,450
+أقول له plt.show
+
+304
+00:31:57,450 --> 00:32:02,690
+على السريع، ايش اللي أنا سويته؟ استدعيت الـ
+
+305
+00:32:02,690 --> 00:32:08,430
+Hierarchical Cluster من الـ SciPy، استخدمت
+
+306
+00:32:08,430 --> 00:32:13,600
+الـ linkage والـ dendrogram، الآن الـ hierarchical الـ
+
+307
+00:32:13,600 --> 00:32:16,740
+linkage، قلت له هي الـ data set وهي الـ attributes اللي
+
+308
+00:32:16,740 --> 00:32:20,620
+موجودة عندي، حضرت list أو قائمة للعناصر اللي موجودة
+
+309
+00:32:20,620 --> 00:32:23,680
+هجرب الآن،  عدى استخدم الـ labels بدل الـ label list
+
+310
+00:32:23,680 --> 00:32:28,160
+أشوف تظهر أسماءها اللي موجودة عندي ولا لأ، بس مش
+
+311
+00:32:28,160 --> 00:32:31,340
+هتسفيد منها لأن كلهم هيظهروا نفس القائمة، خلينا
+
+312
+00:32:31,340 --> 00:32:35,480
+نعمل بعد هيك رسمتها، استدعيت المكتبة تبع الـ Python
+
+313
+00:32:35,480 --> 00:32:40,360
+الـ Matplotlib library، عملت فيها figure، حددت لها الـ
+
+314
+00:32:40,360 --> 00:32:44,760
+size، وانشأت في داخلها dendrogram، الـ dendrogram هذا
+
+315
+00:32:44,760 --> 00:32:51,920
+بيحتوي على مجموعة العناصر التالية، الـ cluster والـ
+
+316
+00:32:51,920 --> 00:32:54,960
+orientation اللي بندرس فيها، والـ labels والـ
+
+317
+00:32:54,960 --> 00:32:59,260
+distance إلى آخره، الأمور بتهيألي تمام، خلينا نعمل
+
+318
+00:32:59,260 --> 00:32:59,500
+run
+
+319
+00:33:04,350 --> 00:33:09,090
+حلوة رسمة ظهرت، لو أنا فكرت أن أكبر الرسمة بالشكل
+
+320
+00:33:09,090 --> 00:33:12,810
+هذا أو
+
+321
+00:33:12,810 --> 00:33:16,090
+إذا بدي أنا اكبرها هيك كمان، لأن أنا فعلياً أنا
+
+322
+00:33:16,090 --> 00:33:19,670
+عملتها ثلاثين في خمسة عشر، فارتفاعها خمسة عشر وعرضها
+
+323
+00:33:19,670 --> 00:33:26,170
+ثلاثين، لاحظوا أن هاي بقول هنا، هاي جسم لي فعلياً بقول
+
+324
+00:33:26,170 --> 00:33:29,870
+التقسيمة تبعتك هذه أنسب، عبارة عن two clusters، إذا
+
+325
+00:33:29,870 --> 00:33:33,800
+أنت بتجسمهم في المستوى هذا في two clusters، الأخضر
+
+326
+00:33:33,800 --> 00:33:38,180
+والأحمر، لكن كذلك أن في عندي cluster هنا الـ
+
+327
+00:33:38,180 --> 00:33:42,020
+variation بينهم قليلة جداً هيها، فممكن أنا آخذ هذه
+
+328
+00:33:42,020 --> 00:33:44,980
+في cluster لحالي، وهذه في cluster لحالي، ايش الـ
+
+329
+00:33:44,980 --> 00:33:49,120
+elements هيهم، الـ instances، الـ instances بدي أُعيد
+
+330
+00:33:49,120 --> 00:33:51,840
+الرسم يا جماعة الخير، بدي أُعيد الرسم على السريع أو
+
+331
+00:33:51,840 --> 00:33:55,960
+بدي أُعيد الـ code على السريع، واروح أُستبدل بدل الـ
+
+332
+00:33:55,960 --> 00:34:00,220
+sample list هنا، بدي أروح أُستخدم الـ labels اللي هي
+
+333
+00:34:00,220 --> 00:34:09,130
+الحقيقية اللي موجودة عندي هنا، وهي run، ما
+
+334
+00:34:09,130 --> 00:34:15,750
+زبطتش، ليش؟ لأن الـ x-axis بدّه يتعامل مع number فهو
+
+335
+00:34:15,750 --> 00:34:18,230
+بيتعامل مع number، فعشان هيك كان الـ sample list
+
+336
+00:34:18,230 --> 00:34:25,670
+ضروري جداً بالنسبة لنا أن نتعامل معاه، وبهيك الرسمة
+
+337
+00:34:25,670 --> 00:34:27,350
+بتكون صحيحة
+
+338
+00:34:39,030 --> 00:34:44,390
+هذه الرسمة output
+
+339
+00:34:44,390 --> 00:34:59,310
+هنا الـ instances أو
+
+340
+00:34:59,310 --> 00:35:03,310
+بدلت، لو جبت له ascending و run
+
+341
+00:35:07,960 --> 00:35:18,480
+هذه الرسومتين أصبحوا موجودات، تمام،
+
+342
+00:35:18,480 --> 00:35:28,060
+لو أنا شغّلتها بالمرة run
+
+343
+00:35:36,610 --> 00:35:40,190
+ما تغيرش عندي ولا حاجة، بالتالي أنا ممكن أستغنى
+
+344
+00:35:40,190 --> 00:35:46,530
+عنها، عفواً، اللي المفروض خليتها أنا كهنا أنا
+
+345
+00:35:46,530 --> 00:35:52,010
+بحتفظ بأخر صورة موجودة عشان أُقارن لو أنا هنا
+
+346
+00:35:52,010 --> 00:35:59,990
+قلت له false run
+
+347
+00:36:07,320 --> 00:36:10,520
+الخيارات هي الـ default اللي موجودة عندي، يعني هذه
+
+348
+00:36:10,520 --> 00:36:17,000
+وهذه هي
+
+349
+00:36:17,000 --> 00:36:20,520
+عبارة عن مجموعة الخيارات الـ default اللي موجودة
+
+350
+00:36:20,520 --> 00:36:24,380
+عندي، باستثناء الـ algorithm المفروض، وتكون الـ data
+
+351
+00:36:24,380 --> 00:36:28,360
+set اللي موجودة عندي نفسها، آه في شغل مهم جداً لو أنا
+
+352
+00:36:28,360 --> 00:36:30,020
+بدي أُقارن مثلاً بين الـ
+
+353
+00:36:34,310 --> 00:36:38,130
+عفواً، اللهم صلِّ على النبي بين الـ
+
+354
+00:36:38,130 --> 00:36:42,970
+clusters بالـ ward وبالـ single، هعيد الـ code هذا
+
+355
+00:36:42,970 --> 00:36:48,570
+نفسه، تمام، لو أنا أخذت الـ code هذا، حتى بما فيه الرسم
+
+356
+00:36:48,570 --> 00:36:54,870
+يعني okay هنا
+
+357
+00:36:54,870 --> 00:36:57,970
+الـ code، لو أنا قلت له هنا الـ complete
+
+358
+00:37:03,650 --> 00:37:08,090
+linkage، أو عشان أقدر أميز بين الرسمتين، بدي أضيف title
+
+359
+00:37:08,090 --> 00:37:16,370
+للرسمة، هروح أقول له هنا plt.title
+
+360
+00:37:16,370 --> 00:37:22,390
+الـ title تبع هنا اللي هي single linkage
+
+361
+00:37:31,250 --> 00:37:37,090
+عند الرسم فقط، هذا الشغل الوحيد اللي هيتغير عندي
+
+362
+00:37:37,090 --> 00:37:52,610
+complete linkage
+
+363
+00:37:52,610 --> 00:37:58,050
+اللي أنا عملت الآن two models، بنعمل الـ two models
+
+364
+00:37:58,050 --> 00:38:02,310
+هذه مافيش داعي أن أعملها الآن import، مجرد أن أنا
+
+365
+00:38:02,310 --> 00:38:09,330
+أعمل complete linkage جديد، عشان هَيسميه h1 وهبقى
+
+366
+00:38:09,330 --> 00:38:16,430
+بيسميه h1، فبغض النظر عن التسميات، وهيبقى أعمل run
+
+367
+00:38:16,430 --> 00:38:21,750
+هذا، المفروض الـ algorithm يديني رسمتين، الأولى وهي
+
+368
+00:38:21,750 --> 00:38:28,550
+التانية، لو أنا بدي أكبر بس الصفحة هنا شوية، هذا الـ
+
+369
+00:38:28,550 --> 00:38:33,730
+complete linkage وهذا الـ single linkage، لاحظوا
+
+370
+00:38:33,730 --> 00:38:37,770
+معايا اختلفت الترتيبة، مع الـ single linkage، أول ما
+
+371
+00:38:37,770 --> 00:38:41,970
+عمل merge، عمل بين الـ 26 والـ 28، هذا في الـ complete
+
+372
+00:38:41,970 --> 00:38:48,240
+بينما الـ single linkage عمل بين الـ 6 والـ 8، في الآخر
+
+373
+00:38:48,240 --> 00:38:51,400
+التوزيع، نعم هي عبارة عن three different clusters
+
+374
+00:38:51,400 --> 00:38:54,660
+أو two different clusters واضحة هنا، يعني هي بحسب
+
+375
+00:38:54,660 --> 00:38:57,480
+الهيراركي اللي بيقول، أفضل شغلة هنا هي عبارة عن two
+
+376
+00:38:57,480 --> 00:39:00,180
+clusters اللي أنت بدك يعني، لكن لو أنت بدك ثلاثة
+
+377
+00:39:00,180 --> 00:39:03,320
+ممكن تحصل زي ما قلنا سابقاً، على هنا وهذه الفروقات
+
+378
+00:39:03,320 --> 00:39:07,360
+واضحة بالـ اتلقال، لاحظوا أنه هنا قال لأ مع الـ
+
+379
+00:39:07,360 --> 00:39:10,480
+complete، قال ممكن تحصل على أربعة كمان different
+
+380
+00:39:10,480 --> 00:39:15,400
+clusters، لو نزلت للمستوى هذا، هي دول واحدة، إثنتين
+
+381
+00:39:15,400 --> 00:39:19,320
+ثلاثة، أربعة، وبهيك كده أصبح لدي agglomerative أو
+
+382
+00:39:19,320 --> 00:39:22,640
+Hierarchical Clustering، ممكن تديني معلومات عن الـ
+
+383
+00:39:22,640 --> 00:39:30,800
+data set أكثر من أن أنا موجود أكثر
+
+384
+00:39:30,800 --> 00:39:33,640
+من الـ partition، الـ cluster زي ما قلنا، وهي ميزتها
+
+385
+00:39:33,640 --> 00:39:38,240
+لكن تبقى، و هذه هأتركها لكم تتعلموها لوحدكم أن
+
+386
+00:39:38,240 --> 00:39:44,320
+كيف أنا ممكن أحصل عند أي مستوى أنا بدي أجمد أنا
+
+387
+00:39:44,320 --> 00:39:47,880
+الآن، هو بقول هي الـ data set تبعتك، وهي رسمتها، لو
+
+388
+00:39:47,880 --> 00:39:50,800
+أنا بدي أفصل الـ data set، تروح على الـ model هذا
+
+389
+00:39:50,800 --> 00:39:57,760
+وتبدأ تجمع فيه لحد مستوى معين، يعني أن أنا هي 26 26
+
+390
+00:39:57,760 --> 00:40:03,640
+28 21 23 30، هدول أقرب ما يمكن لبعضهم، إذن cluster
+
+391
+00:40:03,640 --> 00:40:10,170
+بعدين 11 13 15 19 12 17، تمام؟ لو أنت بقى تنزل كمان
+
+392
+00:40:10,170 --> 00:40:14,590
+مستوى هذا أكثر، فحسب حاجتك، وزي ما قلت لكم هذه اللي
+
+393
+00:40:14,590 --> 00:40:20,070
+هأتركها لكم تشوفوا كيف ممكن أنا أحصل على الـ data
+
+394
+00:40:20,070 --> 00:40:22,630
+set في different clusters، لما أنا اعتمديت الـ
+
+395
+00:40:22,630 --> 00:40:26,730
+hierarchical clustering، هذا اللي بدي إياه في الجزء
+
+396
+00:40:26,730 --> 00:40:28,750
+العملي، هأرفع لكم إياه الآن إن شاء الله تعالى
+
+397
+00:40:28,750 --> 00:40:34,550
+بالإضافة للـ Python code هذا، للي حابب يشتغل، أتمنى
+
+398
+00:40:34,550 --> 00:40:36,570
+لكم فائدة دائماً، والسلام عليكم ورحمة الله
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..c70696daf7818d26c05950d5b8fd1ff13a4ddff1
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/j7QLNeXbOs4_raw.srt
@@ -0,0 +1,1600 @@
+1
+00:00:00,910 --> 00:00:04,730
+بسم الله و الحمد لله و الصلاة والسلام على رسول
+
+2
+00:00:04,730 --> 00:00:08,090
+الله اليوم ان شاء الله تعالى في التسجيل اللي محاضر
+
+3
+00:00:08,090 --> 00:00:13,910
+عليه هنشغل عملي فيه مع موضوع ال .. ال clustering و
+
+4
+00:00:13,910 --> 00:00:17,550
+هنبدأ في .. مع ال k means ال data set اللي هنشغل
+
+5
+00:00:17,550 --> 00:00:21,170
+عليها مؤقتا او هنشغل عليها انا هي عبارة عن جزء
+
+6
+00:00:21,170 --> 00:00:27,430
+صغير من ال iris المكونة من 30 rowاللي هو مع كل
+
+7
+00:00:27,430 --> 00:00:33,310
+عشرة row بتخضع ل class معين sitosa و versicolor و
+
+8
+00:00:33,310 --> 00:00:37,170
+virginica هذه ال data set اللي موجودة او انا هشغل
+
+9
+00:00:37,170 --> 00:00:42,150
+عليها خلينا بداية طبعا كالعادة مع اي مشروع احنا او
+
+10
+00:00:42,150 --> 00:00:44,950
+معايا بال python و program في ال data science او
+
+11
+00:00:44,950 --> 00:00:50,570
+في ال data mining بيلزمني انيأحمل البيانات اللي
+
+12
+00:00:50,570 --> 00:00:55,510
+موجودة عندي فخلينا نبدأ انه هي comment انا هى بدي
+
+13
+00:00:55,510 --> 00:01:05,610
+اعمل import ال data set طبعا بيلزمني استخدم ال
+
+14
+00:01:05,610 --> 00:01:12,150
+banders import banders
+
+15
+00:01:12,150 --> 00:01:13,670
+as pd
+
+16
+00:01:26,850 --> 00:01:32,410
+الان بدي اسم ال data set iris="bandas
+
+17
+00:01:32,410 --> 00:01:36,530
+.read
+
+18
+00:01:36,530 --> 00:01:49,870
+-csv">اسم الملف الموجود في نفس ال folder iris-mini
+
+19
+00:01:49,870 --> 00:01:52,990
+.csv
+
+20
+00:02:00,180 --> 00:02:03,400
+أذا انا بدى اتأكد ان عملية ال loading كباعة صحيحة
+
+21
+00:02:03,400 --> 00:02:12,140
+او لأ ممكن اتأكد ان والله اقوله ال iris.head
+
+22
+00:02:12,140 --> 00:02:15,660
+اقولنا ال head هي بتتكلم على by default خمس صفوف
+
+23
+00:02:15,660 --> 00:02:18,760
+لكن ممكن اخليها تلاتة او اربعة
+
+24
+00:02:34,600 --> 00:02:51,360
+بداية موثقة إن شاء الله قرأنا
+
+25
+00:02:51,360 --> 00:02:54,970
+ال data setهذه المفروضة الطريقة أو هذا الخطوة يعني
+
+26
+00:02:54,970 --> 00:03:00,670
+مافيش فيها خطأ مطلقا طيب الان بما ان انا بدي اشتغل
+
+27
+00:03:00,670 --> 00:03:11,130
+unsupervised learning task فانا بدي افصل عفوا
+
+28
+00:03:11,130 --> 00:03:15,430
+ال label لا ال label attribute عن ال data set فانا
+
+29
+00:03:15,430 --> 00:03:18,530
+هروح اقول ان في عندى ال attribute
+
+30
+00:03:20,420 --> 00:03:34,540
+أوكي خلّيني أقوم بالإعادة split data attribute and
+
+31
+00:03:34,540 --> 00:03:44,680
+label الان
+
+32
+00:03:44,680 --> 00:03:51,670
+سأقوم بالإعادة attribute equalالـ iris أنا بدي كل
+
+33
+00:03:51,670 --> 00:03:55,290
+ال data set .drop طبعا هذه اللي اتعلمناها في موضوع
+
+34
+00:03:55,290 --> 00:03:59,050
+ال processing
+
+35
+00:03:59,050 --> 00:04:05,750
+اسم ال attribute ال variety اذا انا مش غلطان
+
+36
+00:04:05,750 --> 00:04:09,150
+variety
+
+37
+00:04:16,110 --> 00:04:23,610
+Okay طبعا هذا الكلب موجود لان انا على axis equal
+
+38
+00:04:23,610 --> 00:04:42,270
+واحد ومن دي ال labels attributes
+
+39
+00:04:42,270 --> 00:04:51,740
+وال labelsequal to iris of
+
+40
+00:04:51,740 --> 00:04:55,460
+الوريدة
+
+41
+00:04:55,460 --> 00:05:04,940
+تمام هيك انا ال data فصلت
+
+42
+00:05:04,940 --> 00:05:09,800
+تمام معايا من
+
+43
+00:05:09,800 --> 00:05:15,000
+و بينكم هو مش متحمل انا بكتب نص الاسمو ال label
+
+44
+00:05:15,000 --> 00:05:17,760
+فانا فصلت ال data attributes هيك و ال label
+
+45
+00:05:17,760 --> 00:05:28,020
+attribute تمام
+
+46
+00:05:28,020 --> 00:05:36,540
+اصبح لدي الان ال data set متوفرة لكن انا فيه مشكلة
+
+47
+00:05:36,540 --> 00:05:42,850
+حقيقية انه لما انا بدى اعمل clusterالـ data set
+
+48
+00:05:42,850 --> 00:05:46,870
+تبعتي هتظهر .. هيديني أرقام clusters ال lizard
+
+49
+00:05:46,870 --> 00:05:50,730
+هيديني أرقام clusters والأرقام اللي عندي أنا فعليا
+
+50
+00:05:50,730 --> 00:05:55,490
+هي عبارة عن .. الله مصلى على سيدنا محمد عن nominal
+
+51
+00:05:55,490 --> 00:06:00,030
+class وبالتالي انا لازم اشكون في عنده طريقة معينة
+
+52
+00:06:00,030 --> 00:06:02,710
+عشان اقدر اقارن بيهم .. اذا انا بدي اتكلم في موضوع
+
+53
+00:06:02,710 --> 00:06:06,910
+ال majority لو انا بدي اتجاه الخطوة هاي و هرجعلها
+
+54
+00:06:06,910 --> 00:06:13,320
+بعد هي كانتمباشرة الآن خلّينا نروح على الـ
+
+55
+00:06:13,320 --> 00:06:17,600
+SKLAYER.CLUSTER
+
+56
+00:06:17,600 --> 00:06:20,620
+IMPORT
+
+57
+00:06:20,620 --> 00:06:26,460
+K-MEANS IMPORT K-MEANS
+
+58
+00:06:37,490 --> 00:06:41,430
+الان بدي أبني model مثل ما كنت بشغل معاه في ال
+
+59
+00:06:41,430 --> 00:06:51,610
+classification من ال key means و
+
+60
+00:06:51,610 --> 00:06:56,270
+number of clusters ال argument كام cluster اللي هي
+
+61
+00:06:56,270 --> 00:07:05,870
+ال key تبعتنا أنا هروح أقوله تلاتة model dot
+
+62
+00:07:07,920 --> 00:07:13,640
+فت عشان يدرس ال data set وقلنا بدي أتعامل مع ال
+
+63
+00:07:13,640 --> 00:07:25,220
+attributes فقط okay هاي import okay
+
+64
+00:07:25,220 --> 00:07:33,480
+means from sk learn
+
+65
+00:07:36,700 --> 00:07:42,660
+بورد و build و create كميز object
+
+66
+00:07:47,690 --> 00:07:52,070
+تمام عملنا لوفيت وهي كانت الأمور تمام الخطوة اللي
+
+67
+00:07:52,070 --> 00:07:56,690
+بعد هيك ايش بتتوقع ان انا بدي اسوي فيه بدي اتعرف
+
+68
+00:07:56,690 --> 00:08:00,310
+على ال classes اللي موجودة عندها طبعا ال method
+
+69
+00:08:00,310 --> 00:08:02,910
+اللي كنا نشوفها مع ال class مع ال classification
+
+70
+00:08:02,910 --> 00:08:09,050
+اللي هي method الخاصة بال prediction
+
+71
+00:08:09,050 --> 00:08:13,470
+مع ال classification هي نفسها مازالت متاحة اما ان
+
+72
+00:08:13,470 --> 00:08:14,850
+انا هروح و اقول له why
+
+73
+00:08:20,450 --> 00:08:31,910
+wire predict equal model.predict
+
+74
+00:08:31,910 --> 00:08:38,210
+طبعا و ال predict هاي كالعقب بده تاخد برضه من
+
+75
+00:08:41,820 --> 00:08:45,500
+الـ attributes اللي هي ال data set هو راح درسهم
+
+76
+00:08:45,500 --> 00:08:49,460
+هان في ال fit راح ادرس ال attributes و اعمل
+
+77
+00:08:49,460 --> 00:08:52,860
+computation حسب ال means الان في ال predicts بدي
+
+78
+00:08:52,860 --> 00:08:57,920
+يديني قائمة بال classes اللي بتنتمي لها كل
+
+79
+00:08:57,920 --> 00:09:03,270
+instance او قائمة بال classes نعمبحيث انك .. يعني
+
+80
+00:09:03,270 --> 00:09:06,370
+هيبدين قائمة من 30 element بنفس عدد ال data set
+
+81
+00:09:06,370 --> 00:09:09,890
+لكن هذه ال value اللي فيها بتمثل ال class number
+
+82
+00:09:09,890 --> 00:09:13,510
+اللي .. عفوا ال cluster number اللي بتتميله ال
+
+83
+00:09:13,510 --> 00:09:18,710
+instance اللي موجودة عندها لو انا حبيت انا اطبع
+
+84
+00:09:18,710 --> 00:09:24,910
+print ypredict وهي
+
+85
+00:09:24,910 --> 00:09:25,130
+run
+
+86
+00:09:30,860 --> 00:09:36,000
+أي data set اللي طلعت عندي هنا أي هدول عشرة لو
+
+87
+00:09:36,000 --> 00:09:43,830
+عدناهموهي كمان عشرة وهي كمان عشرين لاحظوا معايا ان
+
+88
+00:09:43,830 --> 00:09:46,410
+العشرين اللي في الآخر هدول يعني هاي هذه ال
+
+89
+00:09:46,410 --> 00:09:49,570
+instance تنتمى لل class الأول هذه ال instance عفوا
+
+90
+00:09:49,570 --> 00:09:53,190
+لل cluster الأول ال instance هي لل cluster التالد
+
+91
+00:09:53,190 --> 00:09:56,950
+ال instance هي لل cluster التاني ليش؟ لأنه أخد
+
+92
+00:09:56,950 --> 00:10:01,350
+الأرقام ل clusters بنفس الترتيب اللي موجود بيبدأ
+
+93
+00:10:01,350 --> 00:10:06,530
+صفر واحد اتنين تلاتة اربعة بحسب العدد اللي انالو
+
+94
+00:10:06,530 --> 00:10:09,310
+انا ايدي اتغيرت هنا و قلت له عدد ال cluster تبعت 2
+
+95
+00:10:09,310 --> 00:10:14,710
+و عملت run هاي
+
+96
+00:10:14,710 --> 00:10:18,870
+بس 01 تمام؟ لو انا قلت له 4
+
+97
+00:10:26,090 --> 00:10:30,990
+هي دهر الرقم تلاتة في ال cluster فهو دائما مجبر ان
+
+98
+00:10:30,990 --> 00:10:35,550
+يوزع حسب العناصر الموجودة لو قلت له خمسة في
+
+99
+00:10:35,550 --> 00:10:39,490
+التجربة الأخيرة مع ال K زي ما قلنا سابقا مافيش
+
+100
+00:10:39,490 --> 00:10:42,710
+لازم يكون كل العناصر موجودة استحالة ألا يجي
+
+101
+00:10:42,710 --> 00:10:47,850
+cluster فاضيليش؟ لأنه بألزمه بألزمه أن ال data set
+
+102
+00:10:47,850 --> 00:10:51,370
+تتوزع على عدد معين من ال clusters وقولنا هذه هي
+
+103
+00:10:51,370 --> 00:10:54,470
+التحدي الأساسي الموجود في ال K-Means أو في ال
+
+104
+00:10:54,470 --> 00:10:57,590
+partitional clustering إن أنا أكون فعليا عارف عدد
+
+105
+00:10:57,590 --> 00:11:00,950
+ال clusters مسبقا أنا فعليا ال data set تبعتي
+
+106
+00:11:00,950 --> 00:11:03,370
+مكونة من ال three clusters ف already هي من ال
+
+107
+00:11:03,370 --> 00:11:07,590
+three clusters الآن
+
+108
+00:11:07,590 --> 00:11:12,230
+لو أنا بده أروح أعمل metric بده أسأل الآن هي بده
+
+109
+00:11:12,230 --> 00:11:12,750
+أروح ال
+
+110
+00:11:15,990 --> 00:11:27,230
+بس هنحطها ن comment find the clusters list
+
+111
+00:11:27,230 --> 00:11:38,190
+for the data set find او predict لإن في الآخر
+
+112
+00:11:38,190 --> 00:11:42,110
+عملية prediction اللي احنا بنتكلم
+
+113
+00:11:49,020 --> 00:11:53,000
+التي في الآخر عملية prediction تمام الآن مثلها مثل
+
+114
+00:11:53,000 --> 00:11:57,840
+ال classification task او ال .. انا في عندي ال
+
+115
+00:11:57,840 --> 00:12:00,400
+matrix فممكن انا بدي اروح لمرحلة ال evaluation
+
+116
+00:12:00,400 --> 00:12:07,960
+الان لو
+
+117
+00:12:07,960 --> 00:12:12,780
+انا روحت طبعا from a
+
+118
+00:12:12,780 --> 00:12:18,340
+scalar dot
+
+119
+00:12:24,970 --> 00:12:32,430
+بارد الـ matrix الـ
+
+120
+00:12:32,430 --> 00:12:40,990
+contingency الـ
+
+121
+00:12:40,990 --> 00:12:47,190
+contingency matrix
+
+122
+00:12:47,190 --> 00:12:49,110
+equal
+
+123
+00:13:03,230 --> 00:13:05,590
+metric.clusterscontingencymatrix وإيش ال
+
+124
+00:13:05,590 --> 00:13:10,150
+contingency matrix هيها حسب ال help بتاخد مني two
+
+125
+00:13:10,150 --> 00:13:14,030
+parameters بتاخد مني ال true label وبتاخد مني اللي
+
+126
+00:13:14,030 --> 00:13:16,710
+بدك label لأن ال label السابعة اللي موجودة في ال
+
+127
+00:13:16,710 --> 00:13:22,560
+label صحعشان اريكم انه الاستحاق ال labels وهيها
+
+128
+00:13:22,560 --> 00:13:30,920
+وهي كومة وهي ال y predict لو
+
+129
+00:13:30,920 --> 00:13:37,680
+انا قلت له print ال contingency matrix وعملت
+
+130
+00:13:37,680 --> 00:13:37,940
+run
+
+131
+00:13:47,130 --> 00:13:55,510
+اللي صار انه اخد هو فعليا ال .. الصحيح دائما العمل
+
+132
+00:13:55,510 --> 00:14:04,630
+بيحمل مفاجأات جديدة انا ال .. okay اللي
+
+133
+00:14:04,630 --> 00:14:09,670
+صار عندي هان انه هي ال data setتوزعت قال لي ان ال
+
+134
+00:14:09,670 --> 00:14:13,670
+class هي contingency ان ال attribute او ال cluster
+
+135
+00:14:13,670 --> 00:14:17,190
+الأول pure العشرة اللي فيه و هي .. لو الصفر هدولة
+
+136
+00:14:17,190 --> 00:14:22,410
+عشرة تمام ال class التاني اللي هو واحد فيه عشرة
+
+137
+00:14:22,410 --> 00:14:25,930
+كذلك مافيش فيه pure بناء على المقارنة اللي موجودة
+
+138
+00:14:25,930 --> 00:14:33,230
+لو عديت هدولة انا اتنين
+
+139
+00:14:33,230 --> 00:14:34,450
+ستة
+
+140
+00:14:36,250 --> 00:14:42,110
+عشرة أو عشرة تمام لكن جال ليه ان في عندي مشكلة انا
+
+141
+00:14:42,110 --> 00:14:46,970
+انه في ال class التالت موزع ما بين فعليا مش pure
+
+142
+00:14:46,970 --> 00:14:52,070
+بالاساس ان القيم تبعته مختلفة من العناصر اللي
+
+143
+00:14:52,070 --> 00:14:58,220
+موجودة وبالتالي قيمة ال contingency matrix هييعني
+
+144
+00:14:58,220 --> 00:15:01,740
+انا فعليا هو في عنده مشكلة مع ال cluster التالت في
+
+145
+00:15:01,740 --> 00:15:06,640
+موضوع التقييم لو انا روحت هان و قلتله اربعة ايش
+
+146
+00:15:06,640 --> 00:15:14,220
+حيصير عندي هان جاب
+
+147
+00:15:14,220 --> 00:15:18,760
+لي مصفوفة اربعة في اربعة و حاول يتعرف على ال data
+
+148
+00:15:18,760 --> 00:15:25,630
+set اللي موجودةعندي طيب ليش تلاتة في أربعة مش
+
+149
+00:15:25,630 --> 00:15:28,650
+أربعة في أربعة الأصل أنا أكون أربعة في أربعة لأن
+
+150
+00:15:28,650 --> 00:15:33,130
+ال labels اللي عندي أنا فعليا هم تلاتة اللي في ال
+
+151
+00:15:33,130 --> 00:15:36,790
+true label فدولة تريد وبالتالي المقارنة بدها تكون
+
+152
+00:15:36,790 --> 00:15:46,450
+دائما صحيحة طبعا
+
+153
+00:15:46,450 --> 00:15:46,810
+كذلك
+
+154
+00:15:50,590 --> 00:15:54,970
+في عندى من ال matrix اللى حكينا عليها سابقا اللى
+
+155
+00:15:54,970 --> 00:16:01,030
+هي adjusted rent score و ال purity ال purity طبعا
+
+156
+00:16:01,030 --> 00:16:04,070
+اللى بنحسبها حنا منها ال maximum مع كل row في
+
+157
+00:16:04,070 --> 00:16:08,490
+المصفوفة عشرة عشرة تمانية تمانية و عشرين على
+
+158
+00:16:08,490 --> 00:16:11,550
+تلاتين هي ال purity تبعت ال algorithm اللى موجود
+
+159
+00:16:11,550 --> 00:16:15,270
+عندى لكن لو انا بدى اتكلم على ال adjusted rent
+
+160
+00:16:15,270 --> 00:16:20,500
+index هروح اقوله من ال matrixاللي هي عندى ال
+
+161
+00:16:20,500 --> 00:16:28,620
+cluster dot اللى هي ال adjusted score
+
+162
+00:16:28,620 --> 00:16:36,130
+نفس الكلام بتاخد منى ال labels اللى موجودةخلّينا
+
+163
+00:16:36,130 --> 00:16:42,210
+نعمل رن نحنا هنا بس إداني أنها رقم أيها point 8
+
+164
+00:16:42,210 --> 00:16:46,410
+وكنا متفقين أن ال adjusted rand index كل ما قربت
+
+165
+00:16:46,410 --> 00:16:50,610
+للواحد يكون الأداء ال cluster ال algorithm تبعتي
+
+166
+00:16:50,610 --> 00:16:51,970
+أفضل فهي قيمتها هنا
+
+167
+00:16:57,350 --> 00:17:02,150
+بنفس النظام ممكن انا اجيبها وهذه عبارة عن مجموعة
+
+168
+00:17:02,150 --> 00:17:09,150
+من ال matrix كذلك خلنا نسميها mi equal نفس الكلام
+
+169
+00:17:09,150 --> 00:17:17,210
+السابق matrix dot cluster dot
+
+170
+00:17:19,300 --> 00:17:23,340
+نقوم باستخدام البرنامج InfoScore نقوم باستخدام
+
+171
+00:17:23,340 --> 00:17:30,920
+البرنامج InfoScore نقوم باستخدام البرنامج
+
+172
+00:17:30,920 --> 00:17:36,960
+InfoScore نقوم باستخدام البرنامج InfoScore
+
+173
+00:17:41,330 --> 00:17:49,990
+هذه هي قيمة الان ام اي نوعا ما عندي تمام الخطأ
+
+174
+00:17:49,990 --> 00:17:56,570
+اللي كان warning مش خطأ warning
+
+175
+00:17:56,570 --> 00:18:02,690
+future warning the behavior will not changeأنا
+
+176
+00:18:02,690 --> 00:18:07,110
+بتتكلم إن ال NMI حسب ال version أنا صحيح عملت
+
+177
+00:18:07,110 --> 00:18:11,930
+update قريب وهي المفاجأات اللي موجودة عندها تمام
+
+178
+00:18:11,930 --> 00:18:16,170
+هدفي ما يتعلق في ال partitional clustering نعمل
+
+179
+00:18:16,170 --> 00:18:19,410
+review على السريع إيش اللي سوناه طبعا زي ما تشوفين
+
+180
+00:18:19,410 --> 00:18:24,170
+جامعة الخيار ال python سهل مش بحاجة ل .. مافيش
+
+181
+00:18:24,170 --> 00:18:27,690
+فيها تعقيدات دي functions تبعت جاهزة و ممكن أنا
+
+182
+00:18:27,690 --> 00:18:30,450
+أشتغل عليها بكل سهولة
+
+183
+00:18:42,150 --> 00:18:48,390
+الان بدي أنتقل معاكم لجزئية ال hierarchical
+
+184
+00:18:48,390 --> 00:18:53,190
+clustering في
+
+185
+00:18:53,190 --> 00:19:04,350
+ال hierarchical clustering نعمل
+
+186
+00:19:04,350 --> 00:19:07,450
+ال data set بنفس الكلام خلّينا في الأول أنشئ ملف
+
+187
+00:19:07,450 --> 00:19:09,150
+جديد file
+
+188
+00:19:15,560 --> 00:19:26,460
+my new python file اخرى
+
+189
+00:19:26,460 --> 00:19:31,540
+كلمة
+
+190
+00:19:31,540 --> 00:19:39,140
+cluster
+
+191
+00:19:39,140 --> 00:19:42,420
+class
+
+192
+00:19:47,320 --> 00:19:52,220
+عن طريق الـ Clustering طبعا انا هاختصر و هاخد نفس
+
+193
+00:19:52,220 --> 00:20:02,760
+الفكرة و هعمل نفس ال split لبعض ال data هاي
+
+194
+00:20:02,760 --> 00:20:03,700
+ال clustering
+
+195
+00:20:15,390 --> 00:20:28,770
+من مكتبة مختلفة اتمنى استدعي الموديل from scipy
+
+196
+00:20:28,770 --> 00:20:33,610
+.cluster
+
+197
+00:20:33,610 --> 00:20:35,950
+.hierarical
+
+198
+00:20:38,670 --> 00:20:44,290
+emport بدي اعمل emport لشيء اتين الشغل الأولى لل
+
+199
+00:20:44,290 --> 00:20:51,210
+linkage اللى هى
+
+200
+00:20:51,210 --> 00:20:55,610
+ال
+
+201
+00:20:55,610 --> 00:20:59,810
+linkage و ال dendogram اللى هى بتمثل عشان لو انا
+
+202
+00:20:59,810 --> 00:21:05,730
+فكرت ارسمها طيب الخطوة
+
+203
+00:21:07,060 --> 00:21:09,920
+التالية ان انا بدي استد الـ Hierarchical Cluster
+
+204
+00:21:16,860 --> 00:21:23,900
+HC Hierarchical Clustering Equal Linkage و ال
+
+205
+00:21:23,900 --> 00:21:28,140
+linkage هذا بده ياخد مني ال attributes ال data set
+
+206
+00:21:28,140 --> 00:21:33,200
+تبعتي و بده يحددله ال linkage criteria اللي موجودة
+
+207
+00:21:33,200 --> 00:21:37,200
+عندنا احنا قولنا في عندنا single و في عندنا ال
+
+208
+00:21:37,200 --> 00:21:41,120
+complete و في عندنا ال average و في عندنا ال word
+
+209
+00:21:41,120 --> 00:21:43,960
+تمام
+
+210
+00:21:46,240 --> 00:21:50,820
+هيك ال algorithm تبعي تم التقسيمة تمت من ناحية
+
+211
+00:21:50,820 --> 00:21:57,940
+hierarchical و بدأ معاهم خطوة خطوة لكن فعليا انا
+
+212
+00:21:57,940 --> 00:22:02,040
+كيف ال cluster كيف بدى اشوفها يعني لو انا راح
+
+213
+00:22:02,040 --> 00:22:06,960
+قلتله هنا print at c ايش بده يعطيني؟
+
+214
+00:22:14,290 --> 00:22:25,250
+sorry هذا ملف HD لازم اعمله run داني
+
+215
+00:22:25,250 --> 00:22:37,750
+قائمة من تلاتين أو list من تلاتين element فيها
+
+216
+00:22:37,750 --> 00:22:40,170
+أرقام العناصر اللي موجودة عندى
+
+217
+00:22:42,940 --> 00:22:47,220
+ومين أقرب عنصر كان لها العملية محتاجة تتجمع
+
+218
+00:22:47,220 --> 00:23:00,840
+انستانس انستانس انستانس
+
+219
+00:23:00,840 --> 00:23:01,320
+انستانس انستانس انستانس انستانس انستانس انستانس
+
+220
+00:23:06,600 --> 00:23:10,320
+وهي ال distance أو قيمة ال linkage أو ال distance
+
+221
+00:23:10,320 --> 00:23:16,220
+اللي نشتغل عليها وكيف تحت أي cluster بنضمن يعني ال
+
+222
+00:23:16,220 --> 00:23:20,060
+points صفر و أربعة المسافة بينهم وهي ال cluster
+
+223
+00:23:20,060 --> 00:23:24,040
+اللي بعده طبعا كل نقطة زي ما قلنا سابقا هي بدأتبع
+
+224
+00:23:24,040 --> 00:23:27,560
+بعضهم كل cluster بدأ يشتغل كل نقطة كانت cluster
+
+225
+00:23:27,560 --> 00:23:31,980
+لكن النص اللي زي هذا غير مفهوم عشان انا استوعبه صح
+
+226
+00:23:31,980 --> 00:23:37,760
+يلزمني ان ارسمه يلزمني ان ارسمه طيب عشان انا ارسمه
+
+227
+00:23:37,760 --> 00:23:51,160
+بس خليني هنا نحط comment and import and build
+
+228
+00:24:05,560 --> 00:24:11,260
+Hierarchical cluster model
+
+229
+00:24:16,260 --> 00:24:21,000
+خلّينا من جزئية الرسم انتهينا منها الان او عفوًا
+
+230
+00:24:21,000 --> 00:24:23,980
+الطباعة بدي اروح على جزئية الرسم عشان في عند
+
+231
+00:24:23,980 --> 00:24:30,900
+المكتب المشهورة اللي هي ال math plot library ال
+
+232
+00:24:30,900 --> 00:24:34,700
+math اختصار ل math plot library تحتمل للرسم هبقى
+
+233
+00:24:34,700 --> 00:24:45,930
+بقوله import by plot python plotواختصرها بلت بيثون
+
+234
+00:24:45,930 --> 00:24:51,230
+بروفيشنال الان الخطوة اللى هشتغل عليها
+
+235
+00:24:53,810 --> 00:24:57,570
+لأن أنا لن أتعامل مع ال labels اللي موجودة عندي
+
+236
+00:24:57,570 --> 00:25:02,650
+فانا بدي اضع ال range و اعمل index للنقاط اللي
+
+237
+00:25:02,650 --> 00:25:08,190
+موجودة عندي هان هروح انا في عندي الخطوة اللي
+
+238
+00:25:08,190 --> 00:25:11,430
+استدعيناها تبع الترسم مافيها مشكلة انتهينا هروح
+
+239
+00:25:11,430 --> 00:25:20,170
+اقول له انا ال label list تبعتي تساوي
+
+240
+00:25:20,170 --> 00:25:20,810
+ال range
+
+241
+00:25:29,390 --> 00:25:33,110
+عند تلاتين element تبدأ نقاط تأخذ واحد واحدة لان
+
+242
+00:25:33,110 --> 00:25:37,530
+انا بدي ارسمهم على شكل ديندوجرام ليس حد من نقطة
+
+243
+00:25:37,530 --> 00:25:37,810
+صفر
+
+244
+00:25:40,690 --> 00:25:47,390
+فمش هارسمه على ال X axis و ال Y في ال 2D plane في
+
+245
+00:25:47,390 --> 00:25:50,190
+ال X و Y فمش هبدأ من عند النقطة صفر هبدأ من عند
+
+246
+00:25:50,190 --> 00:25:54,010
+النقطة واحد و ال range تبعتي ال واحد و التلاتين
+
+247
+00:25:54,010 --> 00:26:00,310
+هذا غير متضمن فيهم فهيكون عندي ال list تبعتي هان
+
+248
+00:26:00,310 --> 00:26:05,090
+تلاتين element تلاتين element بناء على ال list
+
+249
+00:26:05,090 --> 00:26:09,620
+اللي موجودة على ال range اللي موجود عنديطيب هذه مش
+
+250
+00:26:09,620 --> 00:26:13,700
+كتير لها علاقة بالرسم يعني ممكن انا احطها فوق لكن
+
+251
+00:26:13,700 --> 00:26:19,160
+هتلزمني فعليا جزئية الرسم بشكل كبير طيب الان بدي
+
+252
+00:26:19,160 --> 00:26:24,980
+.. بس انا عشان اقول انه الان انا بدت احضر لل
+
+253
+00:26:24,980 --> 00:26:37,400
+dendrogram بدي ارسم plot the dendrogram
+
+254
+00:26:47,630 --> 00:26:58,430
+make list list for labels for هي المفروض ال
+
+255
+00:26:58,430 --> 00:27:02,750
+instance list instance
+
+256
+00:27:02,750 --> 00:27:12,730
+list instance
+
+257
+00:27:12,730 --> 00:27:16,650
+list او ساهم بال list ساهم بالاسهل
+
+258
+00:27:19,200 --> 00:27:25,260
+sample list for data
+
+259
+00:27:25,260 --> 00:27:31,460
+samples تمام
+
+260
+00:27:31,460 --> 00:27:34,980
+الآن
+
+261
+00:27:34,980 --> 00:27:42,520
+عملت import import
+
+262
+00:27:42,520 --> 00:27:48,440
+لل by blot library
+
+263
+00:27:55,150 --> 00:28:01,110
+خطوة اللي بعد هيك في داخل ال plt بدي اجهز للصورة
+
+264
+00:28:01,110 --> 00:28:08,310
+هي figure figure
+
+265
+00:28:08,310 --> 00:28:15,050
+حجم الصورة جداش بدي احددله يا ال f size fig size
+
+266
+00:28:15,050 --> 00:28:24,730
+equal ولي اكون مثلا عشرة عرض وسبعةأنا فعليا الارض
+
+267
+00:28:24,730 --> 00:28:30,950
+عندي هتكون تلاتين و بخلي الارتفاع خمستاشر خليني
+
+268
+00:28:30,950 --> 00:28:33,470
+أشوف كيف نتيجتها هنا بس في الآخر يعني في الآخر هي
+
+269
+00:28:33,470 --> 00:28:38,190
+حصورة هتظهر في ال area الخاصة بال plot اللي موجودة
+
+270
+00:28:38,190 --> 00:28:43,810
+عندها هتشوفها لما نعند الرد طيب تمام ال figure هذه
+
+271
+00:28:43,810 --> 00:28:48,450
+خلاص أنا عشان أضيف ال .. بدي أسبع الآن ال
+
+272
+00:28:48,450 --> 00:28:52,650
+dendrogram ال dendrogram بتاخد مني مجموعةعناصر
+
+273
+00:28:52,650 --> 00:28:57,730
+بدأت أخد مني ال model هذه ال axis ال model تبعي
+
+274
+00:28:57,730 --> 00:29:03,330
+بدأ أخد مني ال orientation ال orientation انا ..
+
+275
+00:29:03,330 --> 00:29:07,030
+ال .. ال .. ال .. الاتجاه تبع الرسم تبعه بيكون عمو
+
+276
+00:29:07,030 --> 00:29:14,890
+.. أفقي ولا عمودي ولا كيف انا هروح أقوله ال top ال
+
+277
+00:29:14,890 --> 00:29:20,470
+labels تبعت ال x axis انا
+
+278
+00:29:20,470 --> 00:29:21,570
+في عندي ال sample list
+
+279
+00:29:25,360 --> 00:29:31,140
+الترتيب الـ distance distance
+
+280
+00:29:31,140 --> 00:29:37,820
+source الان احنا متفقين ان ال element موجودة
+
+281
+00:29:37,820 --> 00:29:42,580
+sequential 1 2 3 4 5 6 هذا ال sample data لكن مش
+
+282
+00:29:42,580 --> 00:29:49,780
+بالضرورة ال instance الأولى هي الأول عملية الدمج
+
+283
+00:29:49,780 --> 00:29:55,080
+هتتم بين اقصر two distances لما انا بقول رتب ليهم
+
+284
+00:29:55,080 --> 00:29:57,140
+تساعدي او تنازلي
+
+285
+00:30:10,640 --> 00:30:14,480
+descending فانا ركبتهم ترتيب تنازلي عشان فعليا
+
+286
+00:30:14,480 --> 00:30:18,640
+تسائق descending تنازلي عشان يبدأ يقول من المسافة
+
+287
+00:30:18,640 --> 00:30:23,980
+الأكبر بين من تم عملية الدمج طب أنا جماعة الخير لو
+
+288
+00:30:23,980 --> 00:30:26,840
+انتوا بتستخدموا ال bython ال by chart المفروض في
+
+289
+00:30:26,840 --> 00:30:31,400
+عندك library هان بتوضحلك كل ال arguments بتديك
+
+290
+00:30:31,400 --> 00:30:35,540
+تفاصيل كاملة او بتديكوا تفاصيل كاملة عن العناصر او
+
+291
+00:30:35,540 --> 00:30:39,500
+اللي انتوا بتشتغلوها على سبيل المثال احنا شغالين
+
+292
+00:30:39,500 --> 00:30:46,760
+وينهي الـ descending الـ
+
+293
+00:30:46,760 --> 00:30:49,720
+distance for each node and order
+
+294
+00:30:59,460 --> 00:31:04,880
+أقصر أو أكبر مسافات هيبدأ يرتب ليهم بالترتيب
+
+295
+00:31:04,880 --> 00:31:08,540
+التنازل اللي موجود عندي يعني اقصر او اكبر مسافات
+
+296
+00:31:08,540 --> 00:31:08,540
+هيبدأ يرتب ليهم بالترتيب التنازل اللي موجود عندي
+
+297
+00:31:08,540 --> 00:31:09,360
+اقصر او اكبر مسافات هيبدأ يرتب ليهم بالترتيب
+
+298
+00:31:09,360 --> 00:31:09,980
+التنازل اللي موجود عندي اقصر اقصر او اكبر مسافات
+
+299
+00:31:09,980 --> 00:31:15,740
+هيبدأ يرتب ليهم بالترتيب
+
+300
+00:31:15,740 --> 00:31:19,300
+التنازل اللي موجود عندي اقصر اقصر اقصر اقصر اقصر
+
+301
+00:31:19,300 --> 00:31:19,300
+اقصر اقصر اقصر اقصر اقصر اقصر اقصر اقصر اقصر اقصر
+
+302
+00:31:19,300 --> 00:31:22,690
+اقصر اقصر اقصر اقصأفضهر الـ leaf و العدد ال
+
+303
+00:31:22,690 --> 00:31:30,250
+elements اللي فيها I show leaf count و الخيار true
+
+304
+00:31:30,250 --> 00:31:36,050
+هى كده اندغرام جهز المفروض بقى اللى عندي انا اروح
+
+305
+00:31:36,050 --> 00:31:44,450
+اقوله ال plot blt.show
+
+306
+00:31:57,450 --> 00:32:02,690
+على السريع، اش اللي انا سويته استدعيت الـ
+
+307
+00:32:02,690 --> 00:32:08,430
+Hierarchical Cluster من الـ Science Python استخدمت
+
+308
+00:32:08,430 --> 00:32:13,600
+الـ linkage والددومجرامالان الـ hierarchical الـ
+
+309
+00:32:13,600 --> 00:32:16,740
+cage قلت له هى ال data set و هى ال attributes اللى
+
+310
+00:32:16,740 --> 00:32:20,620
+موجودة عندى حضرت list أو قائمة للعناصر اللى موجودة
+
+311
+00:32:20,620 --> 00:32:23,680
+هجرب الآن عدى استخدم ال labels بدل ال label list
+
+312
+00:32:23,680 --> 00:32:28,160
+أشوف تظهر أسماءها اللى موجودة عندى ولا لأ بس مش
+
+313
+00:32:28,160 --> 00:32:31,340
+هتسفيد منها لأن كلهم هيظهروا نفس القائمة خلينا
+
+314
+00:32:31,340 --> 00:32:35,480
+نعمل بعد هيك رسمتهم استدعيت المكتب تبع ال python
+
+315
+00:32:35,480 --> 00:32:40,360
+ال matlab plot libraryعملت فيها figure حددت لها ال
+
+316
+00:32:40,360 --> 00:32:44,760
+size وانشأت في داخلها ديندو جرام الديندو جرام هذا
+
+317
+00:32:44,760 --> 00:32:51,920
+بيحتوي على مجموعة العناصر التالية ال cluster و ال
+
+318
+00:32:51,920 --> 00:32:54,960
+orientation اللي بدرسون فيها و ال labels و ال
+
+319
+00:32:54,960 --> 00:32:59,260
+distance إلى أخره الأمور بتهيألي تمام خلينا نعمل
+
+320
+00:32:59,260 --> 00:32:59,500
+run
+
+321
+00:33:04,350 --> 00:33:09,090
+حيّر رسمة ظهرت لو انا فكرت ان اكبر الرسمة بالشكل
+
+322
+00:33:09,090 --> 00:33:12,810
+هذا او
+
+323
+00:33:12,810 --> 00:33:16,090
+اذا بدي انا اكبرها هيك كمان لان انا فعليا انا
+
+324
+00:33:16,090 --> 00:33:19,670
+عملها تلاتين في خمستاشر فارتفاعها خمستاشر و عرضها
+
+325
+00:33:19,670 --> 00:33:26,170
+تلاتين لاحظوا ان هاي بقول هان هاي جسملي فعليا بقول
+
+326
+00:33:26,170 --> 00:33:29,870
+التقسيمة تبعتك هذي انسب عبارة عن two clusters اذا
+
+327
+00:33:29,870 --> 00:33:33,800
+انت بتجسمهم في المستوى هذا في two clustersالأخضر
+
+328
+00:33:33,800 --> 00:33:38,180
+والأحمر لكن كذلك ان في عندي cluster هان ال
+
+329
+00:33:38,180 --> 00:33:42,020
+variation بينهم قليلة جدا هيها فممكن انا اخد هذه
+
+330
+00:33:42,020 --> 00:33:44,980
+في cluster لحالي وهذه في cluster لحالي ايش ال
+
+331
+00:33:44,980 --> 00:33:49,120
+elements هيهم ال instances ال instances بدي اعيد
+
+332
+00:33:49,120 --> 00:33:51,840
+الرسم يا جماعة الخير بدي اعيد الرسم على السريع او
+
+333
+00:33:51,840 --> 00:33:55,960
+بدي اعيد ال code على السريع واروح استبدل بدل ال
+
+334
+00:33:55,960 --> 00:34:00,220
+sample list هان بدي اروح استخدم ال labels اللي هي
+
+335
+00:34:00,220 --> 00:34:09,130
+الحقيقية اللي موجودة عندي هانوهي run ما
+
+336
+00:34:09,130 --> 00:34:15,750
+زبطتش ليش؟ لأن الـ x-axis بدى يتعامل مع number فهو
+
+337
+00:34:15,750 --> 00:34:18,230
+بتعامل مع number فعشان هيك كان ال sample list
+
+338
+00:34:18,230 --> 00:34:25,670
+ضروري جدا بالنسبة لنا ان نتعامل معاه وبهيك الرسمة
+
+339
+00:34:25,670 --> 00:34:27,350
+بتكون صحيحة
+
+340
+00:34:39,030 --> 00:34:44,390
+هذه الرسمة output
+
+341
+00:34:44,390 --> 00:34:59,310
+يهان ال instances او
+
+342
+00:34:59,310 --> 00:35:03,310
+بدلت لو جبت له ascending و run
+
+343
+00:35:07,960 --> 00:35:18,480
+هذه الرسومتين أصبحوا موجودات تمام،
+
+344
+00:35:18,480 --> 00:35:28,060
+لو أنا شريتها بالمرة run
+
+345
+00:35:36,610 --> 00:35:40,190
+ما تغيرش عندى ولا حاجة بالتالي انا ممكن استجنى
+
+346
+00:35:40,190 --> 00:35:46,530
+عنها عفوا اللى المفروض خلّيتها انا كهيران انا
+
+347
+00:35:46,530 --> 00:35:52,010
+بحتفظ باخر الصورة موجودة عشان اقارن لو انا هان
+
+348
+00:35:52,010 --> 00:35:59,990
+قلتله false run
+
+349
+00:36:07,320 --> 00:36:10,520
+الخيارات هي الـ default اللي موجودة عندي يعني هذه
+
+350
+00:36:10,520 --> 00:36:17,000
+وهذه هي
+
+351
+00:36:17,000 --> 00:36:20,520
+عبارة عن مجموعة الخيارات ال default اللي موجودة
+
+352
+00:36:20,520 --> 00:36:24,380
+عندي باستثناء ال algorithm المفروض و تكون ال data
+
+353
+00:36:24,380 --> 00:36:28,360
+set اللي موجودة عندى نفسي اه في شغل مهم جدا لو انا
+
+354
+00:36:28,360 --> 00:36:30,020
+بدى اقارن مثلا بين ال
+
+355
+00:36:34,310 --> 00:36:38,130
+عفوا اللهم صلى الله عليه و سلم يا محمد بين ال
+
+356
+00:36:38,130 --> 00:36:42,970
+clusters بال word و بال single هعيد ال code هذا
+
+357
+00:36:42,970 --> 00:36:48,570
+نفسه تمام لو انا اخدت ال code هذا حتى بما في الرسم
+
+358
+00:36:48,570 --> 00:36:54,870
+يعني okay هان
+
+359
+00:36:54,870 --> 00:36:57,970
+ال code لو انا قلت له هنا ال complete
+
+360
+00:37:03,650 --> 00:37:08,090
+lead أو عشان اقدر اميز بين الرسمتين بدي اضيف title
+
+361
+00:37:08,090 --> 00:37:16,370
+للرسمة هروح اقول له هنا ال blt.title
+
+362
+00:37:16,370 --> 00:37:22,390
+ال title تبع هنا اللي هي single linkage
+
+363
+00:37:31,250 --> 00:37:37,090
+عند الرسم فقط هذا الشغل الوحيد اللي هتتغير عندي
+
+364
+00:37:37,090 --> 00:37:52,610
+complete linkage
+
+365
+00:37:52,610 --> 00:37:58,050
+اللي انا عملت الان two modelsبنعمل ال two models
+
+366
+00:37:58,050 --> 00:38:02,310
+هذه مافيش داعي ان اعملها الان import مجرد ان انا
+
+367
+00:38:02,310 --> 00:38:09,330
+اعمل complete in case جديد عشان هيسميته h1 و هبقى
+
+368
+00:38:09,330 --> 00:38:16,430
+بيسميه h1 فبغض النظر عن التسميات وهيبقى اعمل run
+
+369
+00:38:16,430 --> 00:38:21,750
+هذا المفروض ال algorithm يديني رسمتين الأولى و هي
+
+370
+00:38:21,750 --> 00:38:28,550
+التانية لو انا بدي اكبر بس الصفحه هنا شويةهذا ال
+
+371
+00:38:28,550 --> 00:38:33,730
+complete linkage وهذا ال single linkage لاحظوا
+
+372
+00:38:33,730 --> 00:38:37,770
+معايا اختلفت الترتيبة مع ال single linkage اول ما
+
+373
+00:38:37,770 --> 00:38:41,970
+عمل merge عمل بين ال 26 وال28 هذا في ال complete
+
+374
+00:38:41,970 --> 00:38:48,240
+بينما ال single linkage عمل بين ال 6 وال8في الآخر
+
+375
+00:38:48,240 --> 00:38:51,400
+التوزيعة نعم هي عبارة عن three different clusters
+
+376
+00:38:51,400 --> 00:38:54,660
+او two different clusters واضحة هان يعني هي بحسب
+
+377
+00:38:54,660 --> 00:38:57,480
+الهيراريك اللي بيقول أفضل شغلة هنا هي عبارة عن two
+
+378
+00:38:57,480 --> 00:39:00,180
+clusters اللي انت بدك يعني لكن لو انت بدك تلاتة
+
+379
+00:39:00,180 --> 00:39:03,320
+ممكن تحصل زي ما قلنا سابقا على هان وهذه الفروقات
+
+380
+00:39:03,320 --> 00:39:07,360
+واضحة بالاتلقال لاحظوا انه هان قال لأ مع ال
+
+381
+00:39:07,360 --> 00:39:10,480
+complete قال ممكن تحصل على أربعة كمان different
+
+382
+00:39:10,480 --> 00:39:15,400
+clusters لو نزلت للمستوى هذاهي هدول واحدة تنتين
+
+383
+00:39:15,400 --> 00:39:19,320
+تلاتة اربعة وبهي كده اصبح لدي اجلوميراتيف او
+
+384
+00:39:19,320 --> 00:39:22,640
+Hierarchical Clustering ممكن تديني معلومات عن ال
+
+385
+00:39:22,640 --> 00:39:30,800
+data set اكتر من ان انا موجود اكتر
+
+386
+00:39:30,800 --> 00:39:33,640
+من ال partition ال cluster زي ما قلنا وهي مزيتها
+
+387
+00:39:33,640 --> 00:39:38,240
+لكن تبقى و هده هتركها لإيكوا تعلموها لوحدكوا ان
+
+388
+00:39:38,240 --> 00:39:44,320
+كيف انا ممكن احصلعند اي مستوى انا بدي اجفه انا
+
+389
+00:39:44,320 --> 00:39:47,880
+الآن هو بقول هي ال data set تبعتك وهي رسمتها لو
+
+390
+00:39:47,880 --> 00:39:50,800
+انا بدي افصل ال data set تروح على ال model هذا
+
+391
+00:39:50,800 --> 00:39:57,760
+وتبدأ تجمع فيه لحد مستوى معين يعني ان انا هي 26 26
+
+392
+00:39:57,760 --> 00:40:03,640
+28 21 23 30 هدول اقرب ما يمكن لبعضهم ازوان cluster
+
+393
+00:40:03,640 --> 00:40:10,170
+بعدين 11 13 15 19 12 17تمام؟ لو انت بقى تنزل كمان
+
+394
+00:40:10,170 --> 00:40:14,590
+مستوى هذا اكتر فحسب حاجتك و زي ما قلتلكوا هذه اللي
+
+395
+00:40:14,590 --> 00:40:20,070
+هتركها لإلكوا تشوفوا كيف ممكن انا احصل على ال data
+
+396
+00:40:20,070 --> 00:40:22,630
+set في different clusters لما انا اعتمديت ال
+
+397
+00:40:22,630 --> 00:40:26,730
+hierarchical clustering هذا اللي بديه في الجزء
+
+398
+00:40:26,730 --> 00:40:28,750
+العملي هرفعلكم إياه الآن ان شاء الله تعالى
+
+399
+00:40:28,750 --> 00:40:34,550
+بالاضافة لل python code هذا للي حابب يشتغل اتمنى
+
+400
+00:40:34,550 --> 00:40:36,570
+لكوا فايدة دائما والسلام عليكم ورحمة الله
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..b7eaf36ff2e8368a177e8a54d450b31f07f5c7f2
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_postprocess.srt
@@ -0,0 +1,3800 @@
+1
+00:00:05,300 --> 00:00:07,540
+بسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,540 --> 00:00:12,300
+اليوم ان شاء الله .. ان شاء الله تعالى هنكمل في ال
+
+3
+00:00:12,300 --> 00:00:14,680
+introduction على ال data mining نتعرف على ال data
+
+4
+00:00:14,680 --> 00:00:19,000
+mining tasks ونشوف ال tools اللي هنشغل عليها خلال
+
+5
+00:00:19,000 --> 00:00:26,950
+الفصل ال .. لكن ال .. بدنا نعمل review سريعةلما تم
+
+6
+00:00:26,950 --> 00:00:30,170
+عرضه الأسبوع الماضي بدي واحد منكم على السريع الآن
+
+7
+00:00:30,170 --> 00:00:33,270
+ذكرني سواء كان من الدفتر، من ال slides، من دماغه،
+
+8
+00:00:33,270 --> 00:00:36,690
+طبعا لو كان من دماغه أفضل، ما هو، ما هي ال data
+
+9
+00:00:36,690 --> 00:00:41,270
+mining، عرفلي ال data mining أه
+
+10
+00:00:41,270 --> 00:00:44,990
+محمد عملية
+
+11
+00:00:44,990 --> 00:00:47,650
+cleaning و analyzing ال data عشان أطلع منها
+
+12
+00:00:47,650 --> 00:00:51,250
+knowledge more professional definition، اعطيني
+
+13
+00:00:51,250 --> 00:00:55,800
+التعريفprofessional أكتر كلامك صح لكن احنا بدنا
+
+14
+00:00:55,800 --> 00:01:02,300
+الآن تعريف رسم محمد أحمد فروخ knowledge discovery
+
+15
+00:01:02,300 --> 00:01:15,800
+كمان non trivial implicit useful
+
+16
+00:01:21,930 --> 00:01:28,370
+أيوة novel طيب
+
+17
+00:01:28,370 --> 00:01:32,690
+عرفنا ال data mining على إن هي عبارة عن ال process
+
+18
+00:01:32,690 --> 00:01:38,270
+for extracting interesting patterns اللي هي
+
+19
+00:01:38,270 --> 00:01:42,690
+الأنماط المهمة أو المثيرة أو أو إلى آخرها، مصبوط؟
+
+20
+00:01:42,690 --> 00:01:47,620
+وقلنا كلمة interesting pattern تعني novelإنه ال
+
+21
+00:01:47,620 --> 00:01:50,600
+pattern هذا أو النمط هذا جديد ما حد شافه قبل هيك
+
+22
+00:01:50,600 --> 00:01:55,640
+previously unseen non-trivial مش تقليدي وطبعا
+
+23
+00:01:55,640 --> 00:02:00,000
+تنتهي متكافئات تقريبا لكن إذا كنت أنا بتتكلم إنه
+
+24
+00:02:00,000 --> 00:02:03,460
+ال process نفسها non-trivial إنه العملية مش عملية
+
+25
+00:02:03,460 --> 00:02:06,360
+تقليدية مش عملية سهلة مش كل الناس هتقوم فيها K
+
+26
+00:02:06,360 --> 00:02:09,060
+implicit فهو حقيقي أو valid
+
+27
+00:02:11,940 --> 00:02:16,100
+نطق Simplest يعني بين جثين مش Fake فده حقيقي موجود
+
+28
+00:02:16,100 --> 00:02:21,160
+في ال data و useful عشان يبقى بنى عليه action مفيد
+
+29
+00:02:21,160 --> 00:02:26,200
+للناس وطبعا Understandable
+
+30
+00:02:26,200 --> 00:02:32,180
+مفهوم عشان الناس تقدر تبني عليه action previously
+
+31
+00:02:32,180 --> 00:02:38,380
+unknown أو unseen اللي هي novel تمام قلنا بعد هيك
+
+32
+00:02:38,380 --> 00:02:43,050
+أن ال data miningتمر ب .. او اي data mining
+
+33
+00:02:43,050 --> 00:02:48,110
+project فيه له سبع مراحل سبع مراحل بتبدأ من
+
+34
+00:02:48,110 --> 00:02:54,570
+cleaning integration
+
+35
+00:02:54,570 --> 00:02:59,910
+selection
+
+36
+00:02:59,910 --> 00:03:05,630
+transformation
+
+37
+00:03:05,630 --> 00:03:08,830
+mining
+
+38
+00:03:14,020 --> 00:03:21,740
+Evaluation وPresentation وعشان
+
+39
+00:03:21,740 --> 00:03:26,160
+ما تنساش من الـ Cleaning لحد الـ Mining مرتبط
+
+40
+00:03:26,160 --> 00:03:30,320
+بمصطلح Data
+
+41
+00:03:30,320 --> 00:03:36,000
+Cleaning Data Integration Data Selection Data
+
+42
+00:03:36,000 --> 00:03:40,570
+Transformationdata mining أنا على السريع cleaning
+
+43
+00:03:40,570 --> 00:03:44,790
+كانت تقتضي مني ان اعبّل incomplete data او ال
+
+44
+00:03:44,790 --> 00:03:52,270
+missing data اعمل handling للمissing data noisy
+
+45
+00:03:52,270 --> 00:04:00,610
+data inconsistent data شو
+
+46
+00:04:00,610 --> 00:04:04,050
+يعني missing data ان في عندى field مافيش فيه value
+
+47
+00:04:04,050 --> 00:04:08,330
+nullوال field هذا أنا محتاجه فبالتالي بدي أشوف كيف
+
+48
+00:04:08,330 --> 00:04:12,470
+بدي أعب ال value المناسب أو الحقيقية أو الصحيحة أو
+
+49
+00:04:12,470 --> 00:04:16,750
+القريبة من الصحيحة لل attributes هذا noisy إنه
+
+50
+00:04:16,750 --> 00:04:20,010
+فيها خطأ ال value واضح فيها خطأ مثل الراتب بال
+
+51
+00:04:20,010 --> 00:04:26,030
+salary أو الراتب بال salary ال salary بالسالب أو
+
+52
+00:04:26,030 --> 00:04:31,190
+الراتب بالسالب وبالتالي أنا بدي أنتبه لهذه الشغلة
+
+53
+00:04:31,190 --> 00:04:32,530
+inconsistent
+
+54
+00:04:35,480 --> 00:04:40,460
+في two fields متناقضين مع بعض عمره تلاتين سنة وهو
+
+55
+00:04:40,460 --> 00:04:44,700
+موليدي الألفين تمام؟ أو mail و pregnant زي ما قلنا
+
+56
+00:04:44,700 --> 00:04:50,440
+سابقا ال integration data integration أن ال data
+
+57
+00:04:50,440 --> 00:04:54,700
+source تبعتي أو مصادر البيانات تبعتي مختلفة فبدي
+
+58
+00:04:54,700 --> 00:04:58,560
+أكون عندي المقدرة على أني أقدر أجمعالبيانات هذه
+
+59
+00:04:58,560 --> 00:05:02,020
+عشان تكمل بعضها وضربنا المثال إنه أنا بدي أشتغل
+
+60
+00:05:02,020 --> 00:05:06,400
+على مشروع يقيم لأو يتنبأ لي بتحصيل الطالب في
+
+61
+00:05:06,400 --> 00:05:08,600
+المدرسة بناء على الحالة الصحية تبعته أو الأرشيف
+
+62
+00:05:08,600 --> 00:05:12,140
+الصحي تبعه وزارة التربية والتعليم ووزارة الصحة
+
+63
+00:05:12,140 --> 00:05:15,220
+مصدرين مختلفين للبيانات فبالتالي أنا لازم أقدر
+
+64
+00:05:15,220 --> 00:05:17,740
+أكون عند التعامل معاهم وهنا بلزمك تعامل مع
+
+65
+00:05:17,740 --> 00:05:23,620
+البيانات بلزمك database وبرمجة غالبا في ال data
+
+66
+00:05:23,620 --> 00:05:27,670
+selectionاختيار البيانات بعدما جمعت البيانات وصارت
+
+67
+00:05:27,670 --> 00:05:32,170
+في عندي huge data أو many attributes مين اللي بده
+
+68
+00:05:32,170 --> 00:05:34,970
+يظل ومين اللي بده يبقى؟ مين ال relevant attribute
+
+69
+00:05:34,970 --> 00:05:39,110
+ومين ال irrelevant؟ وبالتالي أنا مطلوب مني أحذف ال
+
+70
+00:05:39,110 --> 00:05:42,510
+irrelevant أحذف ال redundant attribute وأحذف فقط
+
+71
+00:05:42,510 --> 00:05:47,890
+بال relevant attributes ال data transformation ال
+
+72
+00:05:47,890 --> 00:05:52,070
+rules أو ال knowledge أو ال pattern احنا اتفقنا
+
+73
+00:05:52,070 --> 00:05:58,170
+أنه في تعريفنا لل patternهو عبارة عن group أو
+
+74
+00:05:58,170 --> 00:06:02,930
+ordering parts repeated parts، مصبوط؟ يعني هذه
+
+75
+00:06:02,930 --> 00:06:07,410
+العناصر أو هذه الـ parts ظهرت بترتيب معين وبنسبة
+
+76
+00:06:07,410 --> 00:06:12,990
+تكرار معينة في الـ transformation لو كان عندي الـ
+
+77
+00:06:12,990 --> 00:06:18,770
+date of birth قلنا عدد ال values اللي عندي كبير
+
+78
+00:06:18,770 --> 00:06:25,450
+جداً وبالتالي بيصير التكرار الـ patternتكرار البتر
+
+79
+00:06:25,450 --> 00:06:31,550
+قليل جدا طيب بهمش أبسط الأمور يعني كل الناس اللي
+
+80
+00:06:31,550 --> 00:06:35,970
+مولودين في نفس السنة ممكن أنا أستغني عن الشهر و
+
+81
+00:06:35,970 --> 00:06:39,090
+أستغني عن اليوم لأنه في الآخر لو سألت أي واحد فيهم
+
+82
+00:06:39,090 --> 00:06:43,390
+مثلا للناس اللي ولدت في الألفين جديش عمرك يا فلان؟
+
+83
+00:06:44,810 --> 00:06:48,750
+عشرين، مباشرة عشرين أو تسعة عشر، بغض النظر، ليش؟
+
+84
+00:06:48,750 --> 00:06:52,750
+لأن كله مولود في سنة .. فهذه أسهل، وفعليا ما أبعد
+
+85
+00:06:52,750 --> 00:06:56,130
+عن الحقيقة، بالعكس هي الحقيقة بذاتها، إن هو موليد
+
+86
+00:06:56,130 --> 00:07:01,490
+الألفين للآن، فنحن نتكلم عن عشرين سنة طيب، لاحظ إن
+
+87
+00:07:01,490 --> 00:07:08,570
+أنا فعليا قللت ال variant dataالاختلاف الكتير في
+
+88
+00:07:08,570 --> 00:07:12,090
+ال data قللته وصار بإمكاني الآن اعتمد على ال year
+
+89
+00:07:12,090 --> 00:07:16,590
+فقط أو الأفضل من ال year كمان أن أروح أعمل ال age
+
+90
+00:07:16,590 --> 00:07:19,970
+ل category بيصير مثلا و الله بتكلم على فئة أطفال
+
+91
+00:07:19,970 --> 00:07:26,910
+شباب، يافعين، كبار مثلا عجزاء، هذه خمس فئات بدل ما
+
+92
+00:07:26,910 --> 00:07:33,070
+كنت بتعامل مع خمسين، ستين، رقم مختلف لأ صار عندي
+
+93
+00:07:33,070 --> 00:07:38,710
+هان و هيك أنا بأضمن أن ال pattern تبعيصار فيه
+
+94
+00:07:38,710 --> 00:07:42,290
+frequent أكثر وبالتالي في ال data transformation
+
+95
+00:07:42,290 --> 00:07:46,750
+تصير صحيح ال data mining هي عبارة عن ال task هو ال
+
+96
+00:07:46,750 --> 00:07:49,950
+prediction task اللي أنا بدغوم فيها فعليا هي البحث
+
+97
+00:07:49,950 --> 00:07:54,570
+عن المعرفة أو knowledge extraction اللي بديها ال
+
+98
+00:07:54,570 --> 00:07:55,770
+selection قبل ال cleaning
+
+99
+00:08:02,610 --> 00:08:06,110
+أجازك عشان تخفف العدد أنت اللي عندك okay الآن ..
+
+100
+00:08:06,110 --> 00:08:12,630
+الآن أنت عندك ال data set عندك ال data set لاجئات
+
+101
+00:08:12,630 --> 00:08:15,870
+فيها value ناقصة أو مفقودة أو فيها value غير صحيحة
+
+102
+00:08:15,870 --> 00:08:21,250
+ممكن فعليا تروح تقضر تروح تدور برا أنت عشان تجيبها
+
+103
+00:08:21,250 --> 00:08:26,850
+الآن بعدين أنا في ال selectionغالبا ماعنديش .. أنا
+
+104
+00:08:26,850 --> 00:08:29,930
+بقدر أحكم على الأسماء والأرقام، يعني رقم تليفون
+
+105
+00:08:29,930 --> 00:08:34,230
+الشخص مش مهم لصحته، رقم هويته مش مهم لمستوى حالته
+
+106
+00:08:34,230 --> 00:08:38,570
+إجتماعيا، مصبوط؟ اسمه مش متعلق بتحصيله الدراسي،
+
+107
+00:08:38,570 --> 00:08:40,650
+هذه كلها الـrelevant attribute أنا بقدر أعتمد
+
+108
+00:08:40,650 --> 00:08:44,410
+عليها مصبوط، وأحذفهم الجبللكن في عندى مجموعه
+
+109
+00:08:44,410 --> 00:08:46,190
+هتلاقي فيه مجموعه عن الـ attributes أنا ماقدرش
+
+110
+00:08:46,190 --> 00:08:50,370
+أتكلم عليها فإيش حضر؟ حضر بعد ال integration بعد
+
+111
+00:08:50,370 --> 00:08:54,090
+ال integration أروح أبدأ أستخدم بعض ال algorithm
+
+112
+00:08:54,090 --> 00:08:57,370
+اللى تروح تحسب ال correlation أو ال dependency بين
+
+113
+00:08:57,370 --> 00:09:01,650
+ال attributes عشان أقرر مين أشيل و مين أبقى
+
+114
+00:09:01,650 --> 00:09:06,310
+فبالتالي لأ لازم تكون فعليا ال cleaning number one
+
+115
+00:09:06,310 --> 00:09:10,470
+لأنه بعد أنت الآن ال cleaning لل source الأول ال
+
+116
+00:09:10,470 --> 00:09:14,340
+cleaning لل source التاني و بعدين بتيجي لمرحلاتالـ
+
+117
+00:09:14,340 --> 00:09:17,500
+integration لأنه كمان مرة الـ cleaning هذه بتتم
+
+118
+00:09:17,500 --> 00:09:21,420
+بمعرفة ال source يعني الآن مصدر بيانات وزارة الصحة
+
+119
+00:09:21,420 --> 00:09:26,980
+أنا والله في السنة 2005 ل 2007 مش ملاقي حاجة أو في
+
+120
+00:09:26,980 --> 00:09:31,640
+عندي بعض ال missing values للطفل هذا زودولي فيهم
+
+121
+00:09:31,640 --> 00:09:37,440
+قبل ما أفكر في الموضوع ال integration الآن زي ما
+
+122
+00:09:37,440 --> 00:09:41,350
+قلنا ال mining هي عبارة عن ال taskاللي أنا فعلياً
+
+123
+00:09:41,350 --> 00:09:44,710
+بدي من خلالها أعمل extract للـ knowledge بعد هيك
+
+124
+00:09:44,710 --> 00:09:46,410
+الـ knowledge اللي أنا حصلت عليها بدي أعملها
+
+125
+00:09:46,410 --> 00:09:50,550
+evaluation وأعمللها presentation هذا اللي هيكون
+
+126
+00:09:50,550 --> 00:09:55,610
+محطة حضرتنا اليوم في موضوع الـ data mining task
+
+127
+00:09:55,610 --> 00:10:00,790
+لكن كنا سألناكوا سؤال أو كنا أعطاناكوا شبه واجب لل
+
+128
+00:10:00,790 --> 00:10:08,660
+discussion time series datatemporal data special
+
+129
+00:10:08,660 --> 00:10:18,860
+data و series ال sequence data أيوة من يبدأ يسمعنا
+
+130
+00:10:18,860 --> 00:10:23,480
+بالأول بس اللي حضروا الواجب أو حضروا الكلام ده
+
+131
+00:10:23,480 --> 00:10:29,160
+يرفعوا إيديهم الشباب طيب الآن يعني في عندنا واحد
+
+132
+00:10:29,160 --> 00:10:38,260
+اتنين تلاتة أربعة خمسة ستة مش مجايبين سبعةليش؟ أول
+
+133
+00:10:38,260 --> 00:10:43,240
+محاضرة؟ أول محاضرة .. مش أول محاضرة .. okay ماشي
+
+134
+00:10:43,240 --> 00:10:47,500
+الحالة okay .. نرد .. نتمنى من الجميع يكون التزام
+
+135
+00:10:47,500 --> 00:10:50,400
+حديدي في الشغلات اللي إحنا عايش بنقض بها .. آه
+
+136
+00:10:50,400 --> 00:10:55,320
+مؤمن .. series .. time series data بصوت عالي بس
+
+137
+00:10:55,320 --> 00:10:58,020
+عشان كلنا نسمع و الكاميرا تقدر تربيت صوتك .. أيوة
+
+138
+00:10:58,020 --> 00:10:59,400
+it's a series of data
+
+139
+00:11:02,930 --> 00:11:06,910
+يعني هي عبارة عن مجموعة من البيانات مؤرشفة تبعًا
+
+140
+00:11:06,910 --> 00:11:11,010
+لظهورها الزمني، تمام؟ في حد حصل على شغل غير هيك
+
+141
+00:11:11,010 --> 00:11:14,150
+شباب، أيوة؟ هو الوصول للبيانات التي اتصل الزمن مع
+
+142
+00:11:14,150 --> 00:11:17,410
+بعضها لبعض ووصول إلى رمضان معين يمكن من خلال
+
+143
+00:11:17,410 --> 00:11:21,650
+التنبؤ بالقيم المتقبلة هيك أنت بتتكلم على الـTime
+
+144
+00:11:21,650 --> 00:11:26,270
+Series Mining، تمام؟ لكن احنا بتتكلم على الـTime
+
+145
+00:11:26,270 --> 00:11:29,750
+Series Data أيوة، حسن؟ Data connected to look at
+
+146
+00:11:31,670 --> 00:11:37,190
+Data جميعات بناءً على تغييراتها تبعًا للتسلسل
+
+147
+00:11:37,190 --> 00:11:40,970
+الزمني يعني بينجو سينا الشباب كل ال data اللي
+
+148
+00:11:40,970 --> 00:11:47,510
+مرتبطة بعامل الزمن بصيصنها على إنها إيش؟ الـ Time
+
+149
+00:11:47,510 --> 00:11:50,630
+Series Data، أمثلة مين بقدر يديني مثال؟ آه رامي
+
+150
+00:11:50,630 --> 00:11:53,650
+مثلًا
+
+151
+00:11:53,650 --> 00:11:58,250
+الأمراض، تطور الأمراض الـ Time Series
+
+152
+00:12:02,050 --> 00:12:06,150
+درجات الحرارة والرطوبة القياسات الطقس بشكل عام
+
+153
+00:12:06,150 --> 00:12:16,570
+غيره عدد مثلا المسافرين خارج البلاد زيادة الكثافة
+
+154
+00:12:16,570 --> 00:12:21,210
+السكانية الكثوف والخصوف الظاهر الطبيعي السؤال يا
+
+155
+00:12:21,210 --> 00:12:25,190
+شباب الفترة الزمنية هذه هل لها better معين يعني كل
+
+156
+00:12:25,190 --> 00:12:29,680
+دقيقة كل ثانية كل ساعة كل يوم كل .. كدهففي الآخر
+
+157
+00:12:29,680 --> 00:12:33,360
+أنت فعليًا جمعتي ال data كيف؟ يعني الآن تعوضت
+
+158
+00:12:33,360 --> 00:12:37,440
+الأرصاد، تعوضت الأرصاد بيحاولوا يجمعوا ال data
+
+159
+00:12:37,440 --> 00:12:41,500
+مثلًا على مدار الأيام لكن ال sensor بيزودهم،
+
+160
+00:12:41,500 --> 00:12:47,540
+بيزودهم بالقراءات على مدار الساعة وبالتالي كل ثاني
+
+161
+00:12:47,540 --> 00:12:52,140
+عنده قراءة لكن هو متى، بإيش بيحتفظ؟ بالقراءات اللي
+
+162
+00:12:52,140 --> 00:12:57,630
+بيصير فيهاتغيير وبيجي يقولك والله هاي تبع للزمن
+
+163
+00:12:57,630 --> 00:13:00,490
+كان كذا يعني دائما ال data مرتبط أو تجمع بعامل
+
+164
+00:13:00,490 --> 00:13:11,770
+الزمن temporal data temporal data هاني ال temporal
+
+165
+00:13:11,770 --> 00:13:16,750
+.. هاني هاني بقول ان ال temporal data هي عبارة عن
+
+166
+00:13:16,750 --> 00:13:24,080
+dataكنا معنين شغلتين الـ state الحالة والفترة
+
+167
+00:13:24,080 --> 00:13:27,760
+الزمنية اللي ظهرت فيها الحالة هاي غيره انا عبدالله
+
+168
+00:13:27,760 --> 00:13:34,940
+كريم temporal يعني
+
+169
+00:13:34,940 --> 00:13:38,920
+انت حصرتليها في الوثر جبتلي مثال عليها temporal شو
+
+170
+00:13:38,920 --> 00:13:43,620
+تعريف ال temporal data؟
+
+171
+00:13:43,620 --> 00:13:46,300
+طيب، related to time and instance
+
+172
+00:13:51,130 --> 00:13:57,290
+ما زلت بتتكلم عن ال time series ال state .. الحالة
+
+173
+00:13:57,290 --> 00:14:00,670
+.. شو .. التغير اللي في الحالة .. كيف كانت .. يعني
+
+174
+00:14:00,670 --> 00:14:08,190
+أو كأن الآن .. هذا الزمن .. هذا الزمن .. هذا
+
+175
+00:14:08,190 --> 00:14:12,430
+العامل الزمني .. كيف الحالة كانت هان و الحالة كانت
+
+176
+00:14:12,430 --> 00:14:13,330
+هان و الحالة كانت هان
+
+177
+00:14:22,460 --> 00:14:28,320
+بين الـ time series و ال temporal وجود الحالة تبع
+
+178
+00:14:28,320 --> 00:14:31,800
+ال object يعني لاحظ أنه أنا قاعد بقى أتدور على
+
+179
+00:14:31,800 --> 00:14:35,960
+حالة ال object بدورش على specific valuesعلى value
+
+180
+00:14:35,960 --> 00:14:38,540
+يعني لما أتكلم على حالة أو ال state غالبًا لما
+
+181
+00:14:38,540 --> 00:14:42,520
+أتكلم على table of values مجموعة من القيمة عشان
+
+182
+00:14:42,520 --> 00:14:45,500
+تصل تمامًا يعني أسقطها على ال object oriented ال
+
+183
+00:14:45,500 --> 00:14:49,120
+state هي عبارة عن مجموعة ال values اللي حملتها ال
+
+184
+00:14:49,120 --> 00:14:54,580
+attributes اللي عندي ممتاز ال special data special
+
+185
+00:14:54,580 --> 00:15:00,760
+data يا رهنصبر ايه يا أهب special ماكتبتش
+
+186
+00:15:00,760 --> 00:15:02,440
+عدها مؤمن special
+
+187
+00:15:09,660 --> 00:15:13,340
+ماذا رأيك يا عمر؟ انه مع المطحون كأثمان دي هتفيلوا
+
+188
+00:15:13,340 --> 00:15:17,720
+قيمة رقمية في نصات ال .. ال .. ال .. الاحتياطات ده
+
+189
+00:15:17,720 --> 00:15:22,180
+100% الان الشغلة الجديدة اللي هتدخل على الموضوع في
+
+190
+00:15:22,180 --> 00:15:27,240
+الـ Special Data ان الموقع الجغرافي او الاحداثات
+
+191
+00:15:27,240 --> 00:15:32,040
+الجغرافية مهمة جدا تمام؟ ان انا فعليا بدي اشوف ايش
+
+192
+00:15:32,040 --> 00:15:36,150
+القيم او ايش ال estate او ايش التغييراتواخد
+
+193
+00:15:36,150 --> 00:15:40,830
+بالمعيار أو بعين الحسبان المكان الجغرافي اللى
+
+194
+00:15:40,830 --> 00:15:43,970
+موجود فيه ال object أو الشغلة أو ال event اللى أنا
+
+195
+00:15:43,970 --> 00:15:50,180
+بدي أشتغل عليهاكل العلاقة لها علاقة بالـ GIS لأنه
+
+196
+00:15:50,180 --> 00:15:52,820
+فعليًا كل الشغل بدور وين .. هان .. الآن لما يجي
+
+197
+00:15:52,820 --> 00:15:57,240
+بتتكلم بتنبؤ بالزلازل و الشغلات هاي كلها داتها على
+
+198
+00:15:57,240 --> 00:16:00,800
+special data بناءً على الـ historical data اللي
+
+199
+00:16:00,800 --> 00:16:04,120
+موجودة و المعرفة الحالية و اللي بيصير على وجه
+
+200
+00:16:04,120 --> 00:16:07,020
+الأرض بيصير يقولك و الله ممكن يصير زلزال في المطر
+
+201
+00:16:07,020 --> 00:16:10,420
+هم كيف هيتعرف يقولك زلزال متوقع يصير زلزال في عرض
+
+202
+00:16:10,420 --> 00:16:15,380
+.. في العرض البحر على بعد مش عارف جداش، قوة كده
+
+203
+00:16:15,380 --> 00:16:20,170
+بناءً على ..Special data اللي موجودة عندنا إيش
+
+204
+00:16:20,170 --> 00:16:25,570
+الأخيرة؟ كانت الـ sequence إيش الـ sequence data؟
+
+205
+00:16:25,570 --> 00:16:31,050
+فرخ؟ statistically relevant patterns between data
+
+206
+00:16:31,050 --> 00:16:33,670
+و values طب أنا حرم لو قلتها بالعربي يعني نفهم
+
+207
+00:16:33,670 --> 00:16:38,150
+إحنا منك أسهل هيك على السريع أيوة اللي هو data
+
+208
+00:16:38,150 --> 00:16:44,870
+مرتبطة بعض إلى مفتوح مثلًا فيه طب إيش الفرق بينها
+
+209
+00:16:44,870 --> 00:16:49,880
+و بين ال time series؟أيوة أحمد وممكن تستعيني
+
+210
+00:16:49,880 --> 00:16:59,800
+بتايمر لأنه ساكت يعني مالهاش
+
+211
+00:16:59,800 --> 00:17:02,400
+علاقة بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش علاقة
+
+212
+00:17:02,400 --> 00:17:05,860
+بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش علاقة بالزمن؟
+
+213
+00:17:05,860 --> 00:17:08,400
+مالهاش علاقة بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش
+
+214
+00:17:08,400 --> 00:17:10,780
+علاقة بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش علاقة
+
+215
+00:17:10,780 --> 00:17:11,820
+بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش علاقة بالزمن؟
+
+216
+00:17:11,820 --> 00:17:12,380
+مالهاش علاقة بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش
+
+217
+00:17:12,380 --> 00:17:13,260
+علاقة بالزمن؟ مالهاش علاقة بالزمن؟ مالهاش علاقة
+
+218
+00:17:13,260 --> 00:17:19,750
+بالزمن؟ مالهاش علاقة بالزالتغييرات لاحقا، هو هذا
+
+219
+00:17:19,750 --> 00:17:23,490
+هو محط الدراسة وأكثر مثال إليها اللي هو الـ DNA
+
+220
+00:17:23,490 --> 00:17:28,030
+Sequence في أمثلة تانية الـ Web Serving الـ Web
+
+221
+00:17:28,030 --> 00:17:31,970
+Serving الـ Web Serving، Ok اللي هو تصفح الإنترنت
+
+222
+00:17:31,970 --> 00:17:36,770
+للأشخاص آه يا هاشم، إيش فيه عندك؟ نفس ما قالوا،
+
+223
+00:17:36,770 --> 00:17:41,990
+حضرت يا هاشم؟ ماشي الحل تمام، يعني فعليا أنا في
+
+224
+00:17:41,990 --> 00:17:45,510
+الـ Data Mining بقدر أشتغل في كل الإتجاهات سواء في
+
+225
+00:17:45,510 --> 00:17:50,730
+الـأرقام؟ طيب، بدي أسأل في الـ Biology في الـ
+
+226
+00:17:50,730 --> 00:17:55,450
+Geography في الـ Geology في كل المجالات أنا ممكن
+
+227
+00:17:55,450 --> 00:17:59,290
+أشغل بناءً على ال data اللي موجودة سؤال اللي بيطرح
+
+228
+00:17:59,290 --> 00:18:05,270
+نفسه الآن أنا بدي أروح أدرس سوق أو حالة سوق فلسطين
+
+229
+00:18:05,270 --> 00:18:11,430
+للأوراق المالية يعني بين قوسين بورصة فلسطين تحت أي
+
+230
+00:18:11,430 --> 00:18:17,040
+نوع من أنواع ال data تبيجعtime series في حد بيقول
+
+231
+00:18:17,040 --> 00:18:22,320
+غير الكلام هذا special .. special .. special ..
+
+232
+00:18:22,320 --> 00:18:26,140
+special .. special .. special .. special ..
+
+233
+00:18:26,140 --> 00:18:27,200
+special .. special .. special .. special ..
+
+234
+00:18:27,200 --> 00:18:28,440
+special .. special .. special .. special ..
+
+235
+00:18:28,440 --> 00:18:29,840
+special .. special .. special .. special ..
+
+236
+00:18:29,840 --> 00:18:29,860
+special .. special .. special .. special ..
+
+237
+00:18:29,860 --> 00:18:29,880
+special .. special .. special .. special ..
+
+238
+00:18:29,880 --> 00:18:30,120
+special .. special .. special .. special ..
+
+239
+00:18:30,120 --> 00:18:30,180
+special .. special .. special .. special ..
+
+240
+00:18:30,180 --> 00:18:31,320
+special .. special .. special .. special ..
+
+241
+00:18:31,320 --> 00:18:31,620
+special .. special .. special .. special ..
+
+242
+00:18:31,620 --> 00:18:31,880
+special .. special .. special .. special ..
+
+243
+00:18:31,880 --> 00:18:34,940
+special .. special .. special ..
+
+244
+00:18:34,940 --> 00:18:41,320
+special
+
+245
+00:18:41,320 --> 00:18:43,570
+.. special .. special ..لكن الـ location الـ
+
+246
+00:18:43,570 --> 00:18:47,850
+location هو بيكون في صميم العملية و دائما بأثر
+
+247
+00:18:47,850 --> 00:18:52,650
+تمام؟ مثل الناس اللي بتشتغل في التنقيب عن النفط و
+
+248
+00:18:52,650 --> 00:18:57,910
+الدهب الآن الـ special data جزء من شغلها جزء من ال
+
+249
+00:18:57,910 --> 00:19:03,410
+data تبعتهم يعني أنا بدي أروح أجيب الله البيانات
+
+250
+00:19:03,410 --> 00:19:07,750
+عن أنواع التربة أنواع التربة و اتنبأ على طول
+
+251
+00:19:07,750 --> 00:19:12,950
+فلسطينتمام؟ أي منطقة ممكن ألاقي فيها .. أفحر فيها
+
+252
+00:19:12,950 --> 00:19:18,810
+منجم دهب مثلا هاي special .. هاي special تمام؟ لكن
+
+253
+00:19:18,810 --> 00:19:21,550
+سوق أوراق الفلسطين .. الأوراق الفلسطين .. أو سوق
+
+254
+00:19:21,550 --> 00:19:25,510
+الفلسطين الأوراق المالية أنا بتكلم على time series
+
+255
+00:19:25,510 --> 00:19:32,810
+data هل ممكن تكون هذه temporal data؟ هل
+
+256
+00:19:32,810 --> 00:19:38,920
+في الها state؟ يعني بين جوسين؟ماشي بحكي ما هو أنا
+
+257
+00:19:38,920 --> 00:19:42,200
+كنت مبارح مرتفع اليوم ممكن أنخفض ممكن في الساعة
+
+258
+00:19:42,200 --> 00:19:45,500
+هادية بقى أنخفض شوية بعد نص ساعة أرتفع هل فعليا
+
+259
+00:19:45,500 --> 00:19:48,560
+أنا بدور على state يعني بين بوسينة هل في عندي
+
+260
+00:19:48,560 --> 00:19:51,880
+السوق كله اللي بيرتفع و بينخفض مرة واحدة ولا شغلات
+
+261
+00:19:51,880 --> 00:19:55,500
+بسيطة إذا كان السوق كله مجموعة القيم كلها مع بعضها
+
+262
+00:19:55,500 --> 00:20:00,750
+ممكن أتكلم عليها temporarily لكن إذا كنت بتكلمإنه
+
+263
+00:20:00,750 --> 00:20:03,230
+لأ، السوق هو عبارة عن مجموعة من الأسهم إيش من
+
+264
+00:20:03,230 --> 00:20:05,610
+الأسهم بتطلع و إيش بنزل و إيش ثابت معناته أنا
+
+265
+00:20:05,610 --> 00:20:09,070
+بتتكلم على time series و مافيه dependency ما بين
+
+266
+00:20:09,070 --> 00:20:16,170
+الأسهم اللي موجودة بشكل عام تمام يا شباب على
+
+267
+00:20:16,170 --> 00:20:19,270
+الأسهم، على تداول الأسهم اللي موجودة أسهم
+
+268
+00:20:19,270 --> 00:20:23,970
+الإتصالات، أسهم الجوال، أسهم شركات التأمين ..
+
+269
+00:20:28,570 --> 00:20:32,950
+أكيد أكيد أكيد أحنا مش مختلفين معاك لكن هل الآن
+
+270
+00:20:32,950 --> 00:20:37,110
+هذا لما أنا بدي أروح أجيب ال data تبعتي و بدي
+
+271
+00:20:37,110 --> 00:20:39,910
+أشتغل عندهم هيكون الوضع السياسي اليوم كان في عنده
+
+272
+00:20:39,910 --> 00:20:43,170
+قصف في المنطقة الفلانية هذا لا يذكر في ال data
+
+273
+00:20:43,170 --> 00:20:46,150
+اللي موجودة وبناء على هيك احنا بنفترض دائما أن
+
+274
+00:20:46,150 --> 00:20:49,130
+أحنا شغالين في ال ideal case أن الحياة ماشية تمام
+
+275
+00:20:49,130 --> 00:20:52,670
+مش فيها مشاكل وبدنا نعمل دراسة للموضوحة لأن
+
+276
+00:20:52,670 --> 00:20:56,370
+بالمناسبة لحظة الحروب كل الدراسات هذه مالهاش معنى
+
+277
+00:20:56,370 --> 00:21:01,320
+بتصير لأنه بتصير الأولويةللحياة الأولوية من أجل
+
+278
+00:21:01,320 --> 00:21:05,980
+الحياة تمام ندخل في موضوع محاضرتنا اليوم نص ساعة
+
+279
+00:21:05,980 --> 00:21:08,460
+هنا عملنا refresh كويسة تلت ساعة فعليا بعد ما انتم
+
+280
+00:21:08,460 --> 00:21:12,460
+اتأخرتم خليني أروح باتجاه نتعرف على ال data mining
+
+281
+00:21:12,460 --> 00:21:15,860
+task اللي بدأ نشتغل عليها لما أنا بتكلم على ال
+
+282
+00:21:15,860 --> 00:21:20,940
+data mining task معناته أنا قاعد بدور على النمط
+
+283
+00:21:20,940 --> 00:21:25,850
+اللي انا بديأو الـ knowledge اللي أنا بدي أشوفها
+
+284
+00:21:25,850 --> 00:21:30,350
+اللي بدي أستخرجها الآن الناس اللي بتنقب على الدهب
+
+285
+00:21:30,350 --> 00:21:34,530
+عاملة حسابها بتدور على كل شغلة صفرة بتلمع وهذه
+
+286
+00:21:34,530 --> 00:21:39,230
+عينها دائما اللي بتغسل في التربة و بتصف فيها عينها
+
+287
+00:21:39,230 --> 00:21:42,450
+على هي شغلة بينما الناس اللي بتنقب على الحجار
+
+288
+00:21:42,450 --> 00:21:47,250
+الكريمة بتدور على الألوان الجذابة أثناء البحث مولا
+
+289
+00:21:47,250 --> 00:21:50,670
+لأ؟ يعني ممكن عفوا أن الدهب يكون أشبه بالرمل
+
+290
+00:21:50,670 --> 00:21:54,390
+بالترابلكن الحجار الكريم لأ، هي فعليًا نوع من
+
+291
+00:21:54,390 --> 00:21:57,810
+أنواع الحصة هيكون وموجود عندنا اللي بده ينقب على
+
+292
+00:21:57,810 --> 00:22:02,110
+البترول، كل الكلام هذا مابيعنهوش لحد ما فعليًا يصل
+
+293
+00:22:02,110 --> 00:22:06,010
+للبترول الخام ويبدأ يظهر في التربة بشكل جليب ويقول
+
+294
+00:22:06,010 --> 00:22:10,370
+أنا أصلت فإحنا فعليًا ال data mining task هي عبارة
+
+295
+00:22:10,370 --> 00:22:15,510
+عن أنواع ال patterns اللي أنا بدي أدور عليها،
+
+296
+00:22:15,510 --> 00:22:18,250
+أنواع ال knowledge، المعرفة اللي أنا بدي أدور
+
+297
+00:22:18,250 --> 00:22:22,630
+عليهاوبالتالي أنا قاعد أتكلم على مجموعة الـ
+
+298
+00:22:22,630 --> 00:22:30,430
+functions اللي تمثل ال task هاي عادة أو بشكل أساسي
+
+299
+00:22:30,430 --> 00:22:35,090
+ال data mining task تاخد واحد من ال two trends إما
+
+300
+00:22:35,090 --> 00:22:43,130
+descriptive وصفية أو predictiveتنبؤية بالوصفية
+
+301
+00:22:43,130 --> 00:22:49,070
+الهدف منها بتكون ان انا اقدر اوصف ال data او اقدم
+
+302
+00:22:49,070 --> 00:22:54,350
+وصف جديد لل data تمام؟ و هلاقد هشوف معاكم مثال
+
+303
+00:22:54,350 --> 00:22:59,330
+برضه بشارككم كويس معايا و بخلينا نفرج بين اتنين
+
+304
+00:22:59,330 --> 00:23:05,820
+بشكل واضح بينما ال predictive taskهي بدي أنفذ تقصي
+
+305
+00:23:05,820 --> 00:23:11,600
+أو تحقيق أو دراسة أو تحليل لل data عشان أقدر أتنبأ
+
+306
+00:23:11,600 --> 00:23:17,140
+مستقبلا ل instance معينة يعني أنا بروح بأدرس وضع
+
+307
+00:23:17,140 --> 00:23:23,360
+السوق الحالي عشان أتنبأ إن قيمة السوق هترتفع ولا
+
+308
+00:23:23,360 --> 00:23:28,320
+تنخفضطب، متى أنا بدي أتنبأ؟ في اليوم؟ لأ، الأصل
+
+309
+00:23:28,320 --> 00:23:31,200
+لكمان ساعة مثلا لإن السوق مثلا بتغير كل ساعة مثلا
+
+310
+00:23:31,200 --> 00:23:34,620
+كمان ساعة، بتعرفش هو وضع السوق بكرا، بتعرفش هو وضع
+
+311
+00:23:34,620 --> 00:23:38,900
+السوق بعد أسبوع، بعد شهر، بعد سنة هذه مفهوم التنبؤ
+
+312
+00:23:38,900 --> 00:23:43,840
+لكن كله بناء على إيش؟ على ال current data البيانات
+
+313
+00:23:43,840 --> 00:23:50,200
+الحالية اللي موجودة عندى طيب، الآن هاروح معاكوا
+
+314
+00:23:50,200 --> 00:23:56,800
+على الصورة هايمش واضحة كتير هساعدك في الصورة لأن
+
+315
+00:23:56,800 --> 00:24:00,220
+الإضاءة شوية وحتى و الصورة تبعت كمان بلور باهتة مش
+
+316
+00:24:00,220 --> 00:24:05,400
+كتير الصف الأول طبعا هدولة ميت صورة الصف الأول
+
+317
+00:24:05,400 --> 00:24:11,780
+مجموعة من الطائرات الصف التاني مجموعة من السيارات
+
+318
+00:24:11,780 --> 00:24:16,740
+التالت مجموعة من الطيور كلها طيور منزلية بالمناسبة
+
+319
+00:24:16,740 --> 00:24:21,000
+الرابع مجموعة من القطط الغزلان
+
+320
+00:24:23,650 --> 00:24:30,330
+الـ Dogs، الكلاب Frogs، ضفاضع Horses، حصن Boots،
+
+321
+00:24:30,330 --> 00:24:36,410
+نوارب Trucks أو شاحنات هدولة عشر أو هدولة ميت صورة
+
+322
+00:24:36,410 --> 00:24:41,510
+هدولة ميت صورة الآن افترض إن هدولة هما ال data set
+
+323
+00:24:41,510 --> 00:24:45,730
+اللي موجودين عندك هذه ال data set ممكن تكون هيك
+
+324
+00:24:45,730 --> 00:24:50,430
+ميت صورة الآن خلينا نروح باتجاه ال descriptive
+
+325
+00:24:50,430 --> 00:24:55,900
+mining tasksبدي أديك مثال على واحد منها، لو أنا
+
+326
+00:24:55,900 --> 00:25:02,800
+إجيت سألتك، قولتلك، هين ذكرتلك الصور، إيش هما،
+
+327
+00:25:02,800 --> 00:25:07,320
+بناءً على معرفتك السابقة اللي انت اتراكمت على مدار
+
+328
+00:25:07,320 --> 00:25:13,160
+تسعة عشر أو عشرين سنة بال object هدول، جسملياهم
+
+329
+00:25:13,160 --> 00:25:16,180
+لمجمعتين،
+
+330
+00:25:16,180 --> 00:25:21,380
+لاحظ؟، بدك تجسملياهم لمجمعتين و بدك تديلي وصف مقنع
+
+331
+00:25:22,880 --> 00:25:26,940
+للإيه؟ للعناصر أو للمجموعتين لهدول؟ آه محمد شوي ده
+
+332
+00:25:26,940 --> 00:25:30,120
+.. جمادات وكائنات حية .. جمادات وكائنات حية .. مين
+
+333
+00:25:30,120 --> 00:25:32,660
+بيشارك محمد في التقسيمة هاي؟ أو بوافق على
+
+334
+00:25:32,660 --> 00:25:38,320
+التقسيمة؟ كلها .. منطقية؟ جدا .. جدا .. الآن مين
+
+335
+00:25:38,320 --> 00:25:43,520
+الجمادات؟ السيارات .. طيارات .. السيارات ..
+
+336
+00:25:43,520 --> 00:25:50,590
+والقوارب ..والشاحنات فعلياً هدول واحد، اتنين،
+
+337
+00:25:50,590 --> 00:25:56,130
+تلاتة، أربعة بمثل 40% من ال data set مصبوط والستين
+
+338
+00:25:56,130 --> 00:25:59,490
+في المية اللي ضالوا في الكائنات الحية تصنيف تمام
+
+339
+00:25:59,490 --> 00:26:03,590
+وجميل مائة في المائة ومافي عليه أي غبار معقد
+
+340
+00:26:03,590 --> 00:26:08,630
+المسألة .. آه يا محمد وسائل نقل حيوانات سماها
+
+341
+00:26:08,630 --> 00:26:12,790
+تسمية مختلفة صحيحة مئة في المية مافيش مشكلة فيها
+
+342
+00:26:12,790 --> 00:26:19,540
+غيره يا شباب حد في عنده أي تسمية تانيةطيب، الآن يا
+
+343
+00:26:19,540 --> 00:26:24,380
+سيد العزيز هدولة المجموعات بديش يهم مجموعتين،
+
+344
+00:26:24,380 --> 00:26:28,160
+بديهم أربعة،
+
+345
+00:26:28,160 --> 00:26:32,920
+بدي تلاحظ .. خد وجهتك و أنت بتفكر في الموضوع و
+
+346
+00:26:32,920 --> 00:26:36,440
+تشوّر أنت و جارك، مافيش مشكلة عندك، بدي تلاحظ أنه
+
+347
+00:26:36,440 --> 00:26:44,040
+الآن بدك .. دماغك هيعصر أكثرلأ انت الأن مش ع كيفك
+
+348
+00:26:44,040 --> 00:26:48,480
+زي ما أنا ألزمتك بالتنتين، الآن جسمليهم لأربع
+
+349
+00:26:48,480 --> 00:26:52,260
+مجموعات، بديش تلاتة، بدي أربع مجموعات
+
+350
+00:26:55,310 --> 00:27:03,210
+اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+351
+00:27:03,210 --> 00:27:04,850
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+352
+00:27:04,850 --> 00:27:05,010
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+353
+00:27:05,010 --> 00:27:05,050
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+354
+00:27:05,050 --> 00:27:07,670
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+355
+00:27:07,670 --> 00:27:08,050
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+356
+00:27:08,050 --> 00:27:08,410
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+357
+00:27:08,410 --> 00:27:11,050
+..اصبر ..اصبر ..اصبر ..اصبر ..اصبر
+
+358
+00:27:24,450 --> 00:27:28,910
+وسائل لقى الجوية وسائل لقى البرية وسائل لقى البرية
+
+359
+00:27:28,910 --> 00:27:36,630
+طيور وحيوانات طيور وحيوانات طب
+
+360
+00:27:36,630 --> 00:27:42,370
+ما قلتلك قوارب انا معناته الان لاحظ ان انت ضيعت 10
+
+361
+00:27:42,370 --> 00:27:46,750
+% من الداتة انت مااستفدتش منها معناه ذكرتلك إياها
+
+362
+00:27:46,750 --> 00:27:50,610
+قوارب قلنا عدناهم هدولة عشر فئات مختلفات بدنا
+
+363
+00:27:50,610 --> 00:27:51,750
+نجسمهم على أربع أه هاشم
+
+364
+00:27:55,230 --> 00:28:05,710
+وسائل المواصلات برمائيات وقيور وثدييات الدفاضع ..
+
+365
+00:28:05,710 --> 00:28:12,790
+برمائي مش مشكلة .. انا راح اكتب على اللوح شباب طيب
+
+366
+00:28:12,790 --> 00:28:16,010
+مش مشكلة طائرات
+
+367
+00:28:58,530 --> 00:29:03,210
+يلّا يا هاشم أربعة أربعة تصنيفات بدنا منك صنفهم
+
+368
+00:29:03,210 --> 00:29:07,850
+عيدهم تاني بعد ما كتبنا برمئيات هاشم بصنفني لياهم
+
+369
+00:29:07,850 --> 00:29:16,650
+الآن برمئيات طيور .. طيور ..
+
+370
+00:29:16,650 --> 00:29:21,510
+أربعة
+
+371
+00:29:21,510 --> 00:29:25,770
+غيره وسائل نقل جوية .. وسائل نقل جوية
+
+372
+00:29:29,950 --> 00:29:39,330
+وحيوانات okay نيرو خلاص
+
+373
+00:29:39,330 --> 00:29:46,450
+الوصف بيكون مبرر في
+
+374
+00:29:46,450 --> 00:29:56,130
+الأخر هذا اسم المجموعة يعني صنف شوف جامعة الخير
+
+375
+00:29:56,130 --> 00:30:00,040
+كمان مرةيعني إيش .. إيش ال .. إيش ال data mining؟
+
+376
+00:30:00,040 --> 00:30:03,120
+إنه كل واحد بدي يشوف ال .. ال analyst بدي يطلع ب
+
+377
+00:30:03,120 --> 00:30:11,360
+pattern ماشوفهوش سابقا، تفضل مجموعة جوية و بتضم ..
+
+378
+00:30:11,360 --> 00:30:20,240
+بتضم مين؟ أه الطائرات والطيور، بس ال judge بطيرش،
+
+379
+00:30:20,240 --> 00:30:20,900
+بنطيره
+
+380
+00:30:31,000 --> 00:30:38,600
+مش هتقدر تصنفه في المجموعة الجوية ايوة وانبك تصنفه
+
+381
+00:30:38,600 --> 00:30:47,640
+في البرية اه التصنيف اللي انا فعليا اجتهدت شفته
+
+382
+00:30:47,640 --> 00:30:49,460
+كتالي قلت انا انا انا انا انا انا انا انا انا انا
+
+383
+00:30:49,460 --> 00:30:52,230
+انا انا انا انا انا انا انا اناالـ Living objects
+
+384
+00:30:52,230 --> 00:30:56,010
+هدول و Non-living objects التاني مش مختلفين عليهم
+
+385
+00:30:56,010 --> 00:31:00,410
+بالـ Non-living objects في منهم بيسير على عجلات و
+
+386
+00:31:00,410 --> 00:31:05,870
+في منهم بدون طائرات و قوارب بدون عجلات سيارات و
+
+387
+00:31:05,870 --> 00:31:14,150
+شاحنات بالعجلات تمشي على العجلات الطائرة هاش
+
+388
+00:31:14,150 --> 00:31:20,520
+الحالة في طيارة مسيرة فيهم هان برضه برضه عجلاتفيه
+
+389
+00:31:20,520 --> 00:31:25,960
+في الآخر العجل مش هو الأساس الحركة تبعتها اللي أنا
+
+390
+00:31:25,960 --> 00:31:30,100
+بدي أقوله فالآن على عجلات و بدون عجلات هذا ال non
+
+391
+00:31:30,100 --> 00:31:36,920
+-living object طب و ال living object؟ مثلا؟
+
+392
+00:31:36,920 --> 00:31:43,460
+ليش؟ ال judge أليف و غير أليف؟ أليف و غير أليف؟
+
+393
+00:31:43,460 --> 00:31:52,360
+الآن لمن قال لك الغزلان أليفة؟ حرام عليكولا تضفضع
+
+394
+00:31:52,360 --> 00:31:56,560
+ولا تضفضع أليفة كمان الشباب مقصود بال ألف
+
+395
+00:31:56,560 --> 00:32:01,620
+الاستئناس هل لما تجرب من الغزالة بتقولك اتفضل تشرد
+
+396
+00:32:01,620 --> 00:32:06,840
+دليل إلا غير لو ربيتلك أسد يعني زي ما بتربيها زي
+
+397
+00:32:06,840 --> 00:32:11,090
+ما تربي الأسد عندك بتصير أليفةبس يعني خارج المنغ
+
+398
+00:32:11,090 --> 00:32:14,350
+انت الآن ماحناش تقولنا understandable أو
+
+399
+00:32:14,350 --> 00:32:18,210
+actionable ولا لأ بيترتب عليها معناه هذه التصنيفات
+
+400
+00:32:18,210 --> 00:32:23,910
+لاحظ إنه أنا عمالي بحاول أخد منك وصف جدمتلك طلب
+
+401
+00:32:23,910 --> 00:32:27,790
+بدي منك أربع مجموعات وزودني بالوصف لكل مجموعة
+
+402
+00:32:27,790 --> 00:32:31,630
+descriptive من وين جبت الوصف؟ من ال data set اللي
+
+403
+00:32:31,630 --> 00:32:36,650
+موجودة من ال data set اللي موجودةطيب .. قولنا
+
+404
+00:32:36,650 --> 00:32:42,070
+descriptive و predictive descriptive زي ما شوفنا
+
+405
+00:32:42,070 --> 00:32:46,010
+في ال .. في ال predictive قولتلك أنا عندي object
+
+406
+00:32:46,010 --> 00:32:54,090
+بيمشي على رجلتين دسمه مغطى .. بتنفس وبياكل مغطى
+
+407
+00:32:54,090 --> 00:32:58,010
+بالريش تمام؟
+
+408
+00:32:58,010 --> 00:33:05,720
+وين بقت صنفه؟ غزال في الحيوانات الغير قليفةالآن
+
+409
+00:33:05,720 --> 00:33:08,960
+سابقًا قبل ما أقولك هذا أنا باشر بقولك أنا في عندى
+
+410
+00:33:08,960 --> 00:33:13,200
+جامعة الخير تلت تصنيفات أو أربع تصنيفات أربع أقسام
+
+411
+00:33:13,200 --> 00:33:18,560
+معروفات كائنات حية أو كائنات غير حية كائنات الحية
+
+412
+00:33:18,560 --> 00:33:24,220
+فيها قسمين إشي الآن فيها طيور و حيوانات و فيها ..
+
+413
+00:33:24,220 --> 00:33:29,060
+و الغير حية فيها مثلًا عجلات و بدون عجلاتصنفلي
+
+414
+00:33:29,060 --> 00:33:32,900
+الآن الكائن اللي أنا ذكرتلكي إياه بيأكل وبيتنفس
+
+415
+00:33:32,900 --> 00:33:39,300
+وبيمشي على قدمين وإله ريش مباشرة هتروح تقولي هذا
+
+416
+00:33:39,300 --> 00:33:43,300
+فئة الطيور بناءًا عليش أنت حكمت بناءًا على ال
+
+417
+00:33:43,300 --> 00:33:47,260
+knowledge اللي أنا فعليًا أخدتها و بعرفها عن كل
+
+418
+00:33:47,260 --> 00:33:51,080
+صنف من الصخفات أو الأصناف التالية وهذا هو ال
+
+419
+00:33:51,080 --> 00:33:55,380
+predictive بارك
+
+420
+00:33:55,380 --> 00:34:01,790
+يا مؤمنماشي الحق، بلاش، طيب، الآن من
+
+421
+00:34:01,790 --> 00:34:05,570
+الـdescriptive task اللي عندي ال clustering اللي
+
+422
+00:34:05,570 --> 00:34:08,050
+احنا اشتغلناها مع بعض لما قلتلك جسم ال data set
+
+423
+00:34:08,050 --> 00:34:14,770
+لمجمعتين لأربع مجموعات ال outlier detection لو أنا
+
+424
+00:34:14,770 --> 00:34:19,150
+اجيت قلتلك في الطيور إيش كان ال outlier عند محمد
+
+425
+00:34:19,150 --> 00:34:24,370
+غنيم؟الجاج كل العناصر أو كل الصور اللي موجودة تمان
+
+426
+00:34:24,370 --> 00:34:34,310
+صور فيها عصافير أو كأو طيور تطير تمام flying معدد
+
+427
+00:34:34,310 --> 00:34:40,560
+دجاج هم صورتين فكانوا هدول بالنسبة لمحمدمثابة ال
+
+428
+00:34:40,560 --> 00:34:43,600
+outlier هم اللي بت .. يعني لو .. لو طريق .. لو
+
+429
+00:34:43,600 --> 00:34:46,700
+الاص .. لو هدولة الصورتين مش موجودات كان قولنا
+
+430
+00:34:46,700 --> 00:34:49,900
+لامحمد والله تصنيفك تمام بس ايه قولنا هدولة
+
+431
+00:34:49,900 --> 00:34:54,660
+outlier الان تخيل ان هدولة فعليا كانوا مش اتنين ل
+
+432
+00:34:54,660 --> 00:35:00,890
+تمانية اتنين ل تمانية وتسعينفعليًا بقول هدولة
+
+433
+00:35:00,890 --> 00:35:05,210
+outlier شواذة يعني كل اللي عندي فعليًا real birds
+
+434
+00:35:05,210 --> 00:35:08,170
+بصير أسميهم birds ممكن أقول لأ قيور خلاص لأنه
+
+435
+00:35:08,170 --> 00:35:15,590
+فعليًا بستخدم الجناحين كوسيلة حركة الآن عادة ال
+
+436
+00:35:15,590 --> 00:35:20,610
+outlier كم ذلك في الصحة الآن الصحة هي الأساس المرض
+
+437
+00:35:20,610 --> 00:35:25,150
+هو ال outlier اللي موجود عندي أنا عادة بروح بقى
+
+438
+00:35:25,150 --> 00:35:30,490
+أشتري من الدكان اللي في جنبيمعدلي في الشهر مثلا
+
+439
+00:35:30,490 --> 00:35:35,070
+باخد منه 400 شكل وهذا الكلام معروف يعني 400 plus
+
+440
+00:35:35,070 --> 00:35:38,110
+or minus عشرة عشرين مش قضية plus or minus عشرين
+
+441
+00:35:38,110 --> 00:35:44,150
+رحت في الأشهر من الأشهر لجته 700 outlier في ال
+
+442
+00:35:44,150 --> 00:35:48,510
+history اللي موجود عندك هان، تمام؟ وبالتالي ال
+
+443
+00:35:48,510 --> 00:35:51,430
+affinity analysis أو اللي احنا بنسميه ال
+
+444
+00:35:51,430 --> 00:35:55,470
+association rules معامل ارتباط الأشياء مع بعضها
+
+445
+00:35:56,570 --> 00:36:00,570
+جديش مثلا التدخين مرتبط بسرطان الرئة جديش فقر الدم
+
+446
+00:36:00,570 --> 00:36:03,790
+مرتبط بسرطان الرئة أو الشغلات اللي زي هي كانت جديش
+
+447
+00:36:03,790 --> 00:36:07,850
+الحالة الاجتماعية بتأثر على الطالب تمام على تحصيله
+
+448
+00:36:07,850 --> 00:36:12,850
+العلمي إلى آخرين في ال predictive في عند
+
+449
+00:36:12,850 --> 00:36:16,090
+classification وفي ال classification بدي أعمل
+
+450
+00:36:16,090 --> 00:36:20,550
+predict لمين ل category لفئة الفئة هذه بتكون محددة
+
+451
+00:36:20,550 --> 00:36:26,890
+ومسبقا في ال regression بدي أعمل prediction لvalue
+
+452
+00:36:26,890 --> 00:36:30,630
+certain value قيمة بذاتها وفي ال recommendation
+
+453
+00:36:30,630 --> 00:36:35,030
+بدي أحاول أعمل predict لل preference للشغلات اللي
+
+454
+00:36:35,030 --> 00:36:39,330
+ممكن تكون مفيدة للشخص هذا نبدأ بنوع من التفصيل
+
+455
+00:36:39,330 --> 00:36:42,870
+للعناصر اللي موجودة هنا في ال classification زي ما
+
+456
+00:36:42,870 --> 00:36:45,970
+قلنا هي عبارة عن predictive data mining task
+
+457
+00:36:45,970 --> 00:36:52,310
+classification predictive data mining task بدي
+
+458
+00:36:52,310 --> 00:36:58,880
+أتنبأ في ال data set عادةبتكون تحتوي على شغلتين يا
+
+459
+00:36:58,880 --> 00:37:03,060
+جماعة الخير أو نوعين من ال variables نوعين من ال
+
+460
+00:37:03,060 --> 00:37:09,620
+attributes النوع الأول اللي هو مجموعة ال
+
+461
+00:37:09,620 --> 00:37:15,420
+explanatory variables أو المجموعة الاستكشافية
+
+462
+00:37:15,420 --> 00:37:19,340
+المجموعة المميزة سميها زي ما بدك الفكرة فيها هذه
+
+463
+00:37:19,340 --> 00:37:24,560
+عبارة عن مجموعة ال attributes اللي بتحمل خصائصالـ
+
+464
+00:37:24,560 --> 00:37:31,900
+object خصائص ال raw اللي أنا بتكلم عليه والتاني هي
+
+465
+00:37:31,900 --> 00:37:38,480
+عبارة عن ال target variable يعني بقاجي أقول أنه
+
+466
+00:37:38,480 --> 00:37:48,020
+أنا عندي data set فيها كتالي هاي ال target
+
+467
+00:37:51,340 --> 00:37:56,120
+وهان مجموعة ال fields اللي موجودة مجموعة ال fields
+
+468
+00:37:56,120 --> 00:38:01,840
+كالتالي
+
+469
+00:38:01,840 --> 00:38:06,320
+brief
+
+470
+00:38:06,320 --> 00:38:13,500
+نفس eat fly
+
+471
+00:38:13,500 --> 00:38:16,900
+whales
+
+472
+00:38:25,410 --> 00:38:33,490
+feather مثلا هي هدول الآن التنفس يأكل يطير عجلات
+
+473
+00:38:33,490 --> 00:38:43,970
+ريش و ال target ال role أول breathe
+
+474
+00:38:43,970 --> 00:38:48,650
+no eat no yes بحط X
+
+475
+00:38:51,580 --> 00:39:01,160
+wheel yes no وانا في عندي plane في المقابل في عندي
+
+476
+00:39:01,160 --> 00:39:10,740
+أنا breathe eat fly no weather ريش هيبرد
+
+477
+00:39:10,740 --> 00:39:15,220
+الآن لاحظ أنا جاهز بجهز ال data set طبعا هذا بيكون
+
+478
+00:39:15,220 --> 00:39:18,420
+وصف للعناصر اللي موجودة عندها
+
+479
+00:39:28,840 --> 00:39:31,660
+الآن يا جماعة الخير المفروض أنه كل row من ال rows
+
+480
+00:39:31,660 --> 00:39:36,760
+هي تتبيه تست لما هنتكلم عليها لأ ممنوع يتكرر تكرار
+
+481
+00:39:36,760 --> 00:39:40,180
+ال rows لا يضيف شيء في المعرفة عشان هي class كل
+
+482
+00:39:40,180 --> 00:39:43,360
+row يكون مختلف عن التاني عشان يقدر ال system و هو
+
+483
+00:39:43,360 --> 00:39:47,740
+بيتعلم يقدر يجمع أكثر قدر ممكن من ال different
+
+484
+00:39:47,740 --> 00:39:53,480
+properties لمين؟ لكل class بنجي بنقول هان breathe
+
+485
+00:39:53,480 --> 00:40:03,880
+بالخطأ yesno wheels feather وهنا
+
+486
+00:40:03,880 --> 00:40:14,580
+plain الآن شو رايك بال breath؟ شو يعني بدها؟ بدها
+
+487
+00:40:14,580 --> 00:40:19,560
+cleaning هانا بيجي جزء ل cleaning الآن أنا في عندى
+
+488
+00:40:19,560 --> 00:40:26,790
+باك تعدى error inconsistentو لا missing و لا noise
+
+489
+00:40:26,790 --> 00:40:31,230
+inconsistent يعني
+
+490
+00:40:31,230 --> 00:40:35,170
+في تعارض ما بين ال two attributes غالبا هذه noise
+
+491
+00:40:35,170 --> 00:40:43,310
+data خطأ في الإدخال طبعا مافيش .. مافيش .. لا في
+
+492
+00:40:48,950 --> 00:40:53,230
+تمام؟ الآن .. هذه الآن ده المقضوب من في ال
+
+493
+00:40:53,230 --> 00:41:00,570
+classification هذه كلها ال attribute هدول صححتها
+
+494
+00:41:00,570 --> 00:41:07,330
+و .. وصححتاش تمام؟
+
+495
+00:41:07,330 --> 00:41:11,570
+explanatory و variables اللي أنا فعليا بدي أستكشف
+
+496
+00:41:11,570 --> 00:41:16,130
+من خلالهمالـ properties الـ different properties
+
+497
+00:41:16,130 --> 00:41:20,790
+عشان أربطها أو أشوف إيش بتميز ال target بيان جوسين
+
+498
+00:41:20,790 --> 00:41:24,350
+بدي أستكشف زي ما انتوا بتفضلوا ال target من خلال
+
+499
+00:41:24,350 --> 00:41:28,990
+ال attribute هاي ببدأ بأدرس العلاصر املاحظين أنا
+
+500
+00:41:28,990 --> 00:41:36,790
+في عنده تلت شغلات أساسية مرتبطة بال bird الأكل
+
+501
+00:41:36,790 --> 00:41:44,730
+والشرب والريش وال featherمصبوط؟ عفوًا الأكل والنفس
+
+502
+00:41:44,730 --> 00:41:51,230
+والأكل والريش ال flying مرتبطة بالطائر؟ لأ لأن
+
+503
+00:41:51,230 --> 00:41:54,550
+العنصر التاني أو ال class التاني بيشاركي الطائر
+
+504
+00:41:54,550 --> 00:41:59,430
+طبعا ماهيش الشغلات المرتبطة بالطائرة ال
+
+505
+00:41:59,430 --> 00:42:04,800
+discriminative attribute اللي عندي ال wheelالـ
+
+506
+00:42:04,800 --> 00:42:09,200
+Wheels تمام؟ و الـ Fly يعني مع بعضهم إذا الـ Fly و
+
+507
+00:42:09,200 --> 00:42:12,460
+الـ Wheel فخلاص على المضمون فهيك أنا صار في عندي
+
+508
+00:42:12,460 --> 00:42:15,800
+knowledge بقدر أقول أنا general knowledge و هذه
+
+509
+00:42:15,800 --> 00:42:21,680
+valid و الأصل هي تكون novel أن أي object عنده
+
+510
+00:42:21,680 --> 00:42:30,700
+المقدرة أن يطير وله عجلات فهو دائرة تمام؟
+
+511
+00:42:32,580 --> 00:42:35,980
+محمد أبو حاسم يقول لك كل قاعدة شوية بناء على ال
+
+512
+00:42:35,980 --> 00:42:38,480
+data set اللي موجود عندنا هنا كمان مرة يا جماعة
+
+513
+00:42:38,480 --> 00:42:43,320
+الخير لما أنا بأتعامل بأتعامل ضمن ال data set اللي
+
+514
+00:42:43,320 --> 00:42:50,120
+موجودة لاحظ سابقا في الصور مسألة cash و الدبابات
+
+515
+00:42:50,120 --> 00:42:54,900
+وين صنفتها أو وين جسمتها ليش؟ لأنها مش موجودة
+
+516
+00:42:54,900 --> 00:43:00,300
+وبالتالي أنا بأشتغل ضمنحدود ال data 6 تبعتي و
+
+517
+00:43:00,300 --> 00:43:04,340
+بعدين لما اتكلمنا عن ال validity تبعت ال pattern
+
+518
+00:43:04,340 --> 00:43:09,500
+تبعي ماقلتش ضروري يكون one hundred percent ماقلتش
+
+519
+00:43:09,500 --> 00:43:13,080
+انه لازم يكون مية في المية دقيق لكن قلتلك with
+
+520
+00:43:13,080 --> 00:43:18,280
+some degree of certainty مع نسبة معينة من الدقة
+
+521
+00:43:18,280 --> 00:43:22,720
+النسبة هاي عشان يكون في مجال لقبول او رفض البيانات
+
+522
+00:43:22,720 --> 00:43:24,700
+ملك لأ نعم
+
+523
+00:43:29,430 --> 00:43:33,750
+هو الـ data set لازم تكون التنين موجودات عندك انت
+
+524
+00:43:33,750 --> 00:43:37,230
+الآن ال data mining task تعمل analysis للـ
+
+525
+00:43:37,230 --> 00:43:42,410
+explanatory تمام؟ عشان تعمل prediction لاحقا لل
+
+526
+00:43:42,410 --> 00:43:50,350
+target هذا
+
+527
+00:43:50,350 --> 00:43:53,810
+اللي عند الطائرة و تتنفس تمام، الان احنا عرفنا
+
+528
+00:43:53,810 --> 00:44:02,290
+لأنه عندنا كم؟ أربعة أو أربعة روز100% عادة الـ
+
+529
+00:44:02,290 --> 00:44:05,870
+missing data أو الـ noise data مش بسهولة الكشف
+
+530
+00:44:05,870 --> 00:44:09,270
+عنها وإلا كان ما جال cash إنه فعليا أنت بدك تجد
+
+531
+00:44:09,270 --> 00:44:12,210
+وجد وانت بتدرس البيانات اللي موجودة إيش أنت بتروح
+
+532
+00:44:12,210 --> 00:44:17,370
+بتساوي؟ بتروح بتقوله مثلا إيش ممكن أساوي ال
+
+533
+00:44:17,370 --> 00:44:20,630
+attribute هذه؟ دور أعمل ال maximum و ال minimum و
+
+534
+00:44:20,630 --> 00:44:23,250
+أعمل association ما بين ال attribute و ال
+
+535
+00:44:23,250 --> 00:44:26,030
+attribute التاني زي ال association مع ال attribute
+
+536
+00:44:26,030 --> 00:44:31,320
+و ال targetلحد ما تصل لارتباط لكن برضه بتظهر
+
+537
+00:44:31,320 --> 00:44:34,900
+الفرصة أن هذه تبقى مثل ما هي لأن من اللي ممكن هذي
+
+538
+00:44:34,900 --> 00:44:39,820
+يعملها bridge لو أنت ماشوفتهاش حجم البيانات الآن
+
+539
+00:44:39,820 --> 00:44:45,380
+هذه واحدة تمام خطأ واحد في مائة ألف record قدش
+
+540
+00:44:45,380 --> 00:44:51,630
+تأثيره يكاد يكون صفر يكاد يكون له تأثيرلكن يكاد
+
+541
+00:44:51,630 --> 00:44:55,910
+يكون صفر لكن لو هذا العنصر واحد من عشرة أو واحد من
+
+542
+00:44:55,910 --> 00:44:59,650
+أربعة زي هيك صار تأثير و 25% على ال decision تبعتي
+
+543
+00:44:59,650 --> 00:45:01,070
+في الموضوع أيه رأيك؟
+
+544
+00:45:06,320 --> 00:45:10,220
+تمام، بس أنا الآن .. الآن هذا تماما مثل المثال
+
+545
+00:45:10,220 --> 00:45:13,660
+السابق اللي عرضتلك مجموعة الصور قلتلك هي .. أنا بس
+
+546
+00:45:13,660 --> 00:45:16,940
+حاول تكتب ال data set قدامك المفروض أنا عرضت ال
+
+547
+00:45:16,940 --> 00:45:20,040
+data set سابقا جهزت ال data set سابقا زي ما
+
+548
+00:45:20,040 --> 00:45:23,340
+اشتغلنا بالمثال تبع المحاضرة الماضية الجدول اللي
+
+549
+00:45:23,340 --> 00:45:27,220
+فيه الصناديق الحمرة و ال .. ال .. و الكون اللي هي
+
+550
+00:45:27,220 --> 00:45:31,160
+القمع و ال .. و الكورة الزرق تمام؟ و ربطنا
+
+551
+00:45:31,160 --> 00:45:35,240
+بالأوزان قلتلك هي ال data set و شوف ال patternلأن
+
+552
+00:45:35,240 --> 00:45:39,080
+أنا بس كتبتك قدامك و أنت معايا واحدة بواحدة لو جيت
+
+553
+00:45:39,080 --> 00:45:42,000
+عرضتلك إياها بالشكل هذا و قولتلك يا رامي شوف لي ال
+
+554
+00:45:42,000 --> 00:45:45,840
+patterns اديني pattern للطائرة و اديني pattern
+
+555
+00:45:45,840 --> 00:45:51,820
+للطائر إيش هتروح تقولي؟ هتاخد مني وقت بسيط أو طويل
+
+556
+00:45:51,820 --> 00:45:57,840
+حسب حجم ال data set و تبدأ تدرس العناصر E to bird
+
+557
+00:45:57,840 --> 00:46:03,420
+to feather معناته bird otherwise
+
+558
+00:46:05,030 --> 00:46:08,830
+وعادة هدف ال binary classification يا شباب دائما
+
+559
+00:46:08,830 --> 00:46:14,750
+بصير بدور على ال more strongest rule
+
+560
+00:46:14,750 --> 00:46:24,810
+أو value باجي بقول مين أجوى عندي تنفس و أكل و ريش
+
+561
+00:46:24,810 --> 00:46:33,100
+مع البارد ولا عجلات و طيران مع الطائرةحسب ال data
+
+562
+00:46:33,100 --> 00:46:38,920
+set اللي عندنا هنا، مين أقوى؟ يعني هيك
+
+563
+00:46:38,920 --> 00:46:42,220
+أنا قلت يا عزيزي اتبعت انه برد توصف الليلة بعدها
+
+564
+00:46:42,220 --> 00:46:45,060
+.. لا لا لا، ما هو انا هيك جايك، انا جايك لاحقا
+
+565
+00:46:45,060 --> 00:46:48,200
+أجي أقولك التالي، انت ما خلنا .. ما خلنا نخصناش
+
+566
+00:46:48,200 --> 00:46:52,000
+احنا، الآن هي ال data set اللي عندك وجيت قلتلك أن
+
+567
+00:46:52,000 --> 00:46:56,840
+الآن أنا في عندي object، عندي object واضح أنه
+
+568
+00:46:56,840 --> 00:47:05,420
+بيتنفس، والمعلومات اللي عندييقول إنه بيأكلش وبيطير
+
+569
+00:47:05,420 --> 00:47:16,740
+ومالوش عجلات وإله ريش عصفور
+
+570
+00:47:16,740 --> 00:47:22,780
+عيّان، أه؟ لأ، مرت حردانة منه بس دو ده نفسه مضرب
+
+571
+00:47:22,780 --> 00:47:26,960
+عن الطعام الآن إيش التصنيف هذا لل object هذا يا
+
+572
+00:47:26,960 --> 00:47:33,450
+راني؟كيف أشيله؟ مش عكيفك هذا واحد من التنين اللي
+
+573
+00:47:33,450 --> 00:47:38,910
+عندك حسب ال role لازم ال algorithm تديني قرار bird
+
+574
+00:47:38,910 --> 00:47:47,430
+ولا plane؟ ليش bird؟ لأنه بتنفس ويله ريش فهو 90%
+
+575
+00:47:47,430 --> 00:47:53,190
+من ال role تبعت ال bird تنطبق عليه بتنفس و بطير
+
+576
+00:47:53,190 --> 00:47:58,330
+ويله ريشومالوش عجلات وبالتالي أنا قاعد أتكلم على
+
+577
+00:47:58,330 --> 00:48:07,050
+80% من خصائص الطائر موجودة عنده فهو طائر تمام؟
+
+578
+00:48:07,050 --> 00:48:10,890
+هذه ال prediction هذه البيانات بتلزم في مرحلة ال
+
+579
+00:48:10,890 --> 00:48:17,430
+learning مرحلة ال analysis عشان أبدأ أبني rules في
+
+580
+00:48:17,430 --> 00:48:21,430
+تحديد ال object هذه في مرحلة ال prediction باجي
+
+581
+00:48:21,430 --> 00:48:26,770
+بسأل بقول والله okayالـ .. في سوق أوراق فلسطين
+
+582
+00:48:26,770 --> 00:48:31,390
+المالية ساهم شركة الاتصالات على مدار عشر سنوات
+
+583
+00:48:31,390 --> 00:48:38,790
+بيطلع و بينزل تمام؟ بكرا كيف وضع السهم؟ بناء ..
+
+584
+00:48:38,790 --> 00:48:44,690
+هتكلم مفروض منه كيف وضع السهم بكرا؟ بده يرتفع ولا
+
+585
+00:48:44,690 --> 00:48:46,310
+بده ينزل .. بده ينخفض؟
+
+586
+00:48:49,530 --> 00:48:53,730
+حسب ال data تبعتنا الآن مثلا كان واضح في ال
+
+587
+00:48:53,730 --> 00:48:56,950
+pattern .. واضح في ال pattern أنه في الأيام .. في
+
+588
+00:48:56,950 --> 00:49:01,270
+الأيام اللي بيكون أو مثلا في فصل الشتاء و اللي
+
+589
+00:49:01,270 --> 00:49:08,050
+بيكون فيها مطر غزير تمام السهمي بينزل بكرة .. هذا
+
+590
+00:49:08,050 --> 00:49:10,210
+ال pattern هيك بيقوللي ال historical data هيك
+
+591
+00:49:10,210 --> 00:49:16,580
+بتقوللي بكرة .. بكرة واضح أنه في عندنا منخفضبرياح
+
+592
+00:49:16,580 --> 00:49:21,340
+شديدة تمام وكتير من المدارس أو عفوًا من الوزارات
+
+593
+00:49:21,340 --> 00:49:28,600
+أعلنت عن عدم انتظام الدوام في الغد ديني حالة تتسهم
+
+594
+00:49:28,600 --> 00:49:34,680
+بكرة ما بتقوليش لأ لأ لأ مش مش معروفة الزمن لأ أنا
+
+595
+00:49:34,680 --> 00:49:37,920
+متعلق بالزمن أما أنت حاجة أساسية موجودة التنتين
+
+596
+00:49:37,920 --> 00:49:41,800
+نفس الشغل يا رامي أنا ماقلتكاش الطائر بدون ريش
+
+597
+00:49:46,050 --> 00:49:49,530
+ها، الآن أنا ما قلتلكاش أنا طائر بدون ريش، تمام؟
+
+598
+00:49:49,530 --> 00:49:54,090
+لكن افترض إنه طائرة مسيرة أو طائرة صغيرة للتمويه
+
+599
+00:49:54,090 --> 00:50:00,850
+كسوها بالريش، تخيل، شو بقى كتقولليه؟ الآن إيجاك،
+
+600
+00:50:00,850 --> 00:50:05,290
+قالك في عندك object، لأ شباب أنت الآن، ماشي
+
+601
+00:50:05,290 --> 00:50:07,930
+الحالة، ممكن تضحك خدراحتك، لكن فعليا إيه هيك
+
+602
+00:50:07,930 --> 00:50:13,330
+السؤال المطروح عندك؟ وجوابك من هنا، يا بقى كتقوللي
+
+603
+00:50:13,330 --> 00:50:19,490
+بلين؟يا بقى تقوللي بيرت ومالكاش خيار تاني الآن
+
+604
+00:50:19,490 --> 00:50:23,330
+اصصبر شوية ..الآن قولتلك انه أنا في عندي object
+
+605
+00:50:23,330 --> 00:50:31,350
+object لا يأكل ولا يتنفس يطير وله عجلات ومغطى
+
+606
+00:50:31,350 --> 00:50:36,650
+بالريش جاوبني
+
+607
+00:50:36,650 --> 00:50:38,590
+ليش؟
+
+608
+00:50:40,420 --> 00:50:43,040
+مية لمية انتهى الأمر، إذا كنت تقول لي مافيش عنصر
+
+609
+00:50:43,040 --> 00:50:47,740
+أو مافيش وجود للعنصر هذا، بقولك أنت غلطان، ممكن
+
+610
+00:50:47,740 --> 00:50:50,280
+يصير زي لما قعدوا يدوروا ع ال bigfoot و لاجوا
+
+611
+00:50:50,280 --> 00:50:54,540
+عينات و شعر أسوذ و قجز و زي .. الآن أنا بدي أجيبلك
+
+612
+00:50:54,540 --> 00:51:00,780
+مثال على طائرات فعليا .. فعليا تغطى بالرشالطائرات
+
+613
+00:51:00,780 --> 00:51:04,240
+اللي بيحطوها ضمن أسراب الطيور و تصورهم انت بتحتاج
+
+614
+00:51:04,240 --> 00:51:06,460
+حساب على national geographic لما بيصوروهم
+
+615
+00:51:06,460 --> 00:51:11,480
+بيبعتولهم drone او بيبعتولهم طيارة عادية؟ لأ
+
+616
+00:51:11,480 --> 00:51:16,720
+الطيارة هذه بيكون او بيكون الكاميرا على طائر الآن
+
+617
+00:51:16,720 --> 00:51:21,760
+بيروح بيجيبله مجسم الطائر و بطيرله ضمن السرب عشان
+
+618
+00:51:21,760 --> 00:51:25,740
+ماينفرش منهالآن ضمن المواصفات هذا، أجل قلتلك، هي
+
+619
+00:51:25,740 --> 00:51:30,040
+في عندي واحد من العناصر هدول في كل السمات، سمات
+
+620
+00:51:30,040 --> 00:51:37,060
+الطير، لكنه لا يأكل ولا يتنفس، مباشرة، طيارة Spy
+
+621
+00:51:37,060 --> 00:51:41,840
+Bird، أنتوا أكيد مولعين بـ NBC2 Action يعني
+
+622
+00:51:44,640 --> 00:51:47,520
+أنا شفت في ال .. في ال document .. كل ال
+
+623
+00:51:47,520 --> 00:51:50,960
+documentary films اللي بيصور ل groups تبعت
+
+624
+00:51:50,960 --> 00:51:53,920
+الحيوانات و الطيور و الشغلات اللي زي هاي حل من
+
+625
+00:51:53,920 --> 00:51:59,300
+اتنين إما فعليا بركب الكاميرا على الطير وللأسف هذا
+
+626
+00:51:59,300 --> 00:52:03,780
+الكلام كان مرفوض تماما على الأقل مع الغربان لأنه
+
+627
+00:52:03,780 --> 00:52:06,400
+جتلوا الغراب أكثر من مرة اللي كانوا بيودوا يحطوا
+
+628
+00:52:06,400 --> 00:52:10,740
+عليه الكاميرا فكان البديل أن يحطوا شكل مجسم الغراب
+
+629
+00:52:11,290 --> 00:52:15,170
+تمام؟ والعيون هي بمثابة الكاميرا كذلك فشلت التجربة
+
+630
+00:52:15,170 --> 00:52:23,470
+مع البقاريق أن الطير اللي كان بيرحط على رأسه أو
+
+631
+00:52:23,470 --> 00:52:30,130
+على عنق الكاميرا تمام؟ كان بينتحر أو بينفر منه
+
+632
+00:52:30,130 --> 00:52:35,490
+القطيع تبعه أو المئسر المفروض
+
+633
+00:52:35,490 --> 00:52:39,090
+أعدمه في الساحة هم الخيانة وطنية عظمة
+
+634
+00:52:42,470 --> 00:52:46,070
+ماشي ماشي نشوف الردود الجميلة في الامتحانات ان شاء
+
+635
+00:52:46,070 --> 00:52:49,450
+الله نذكر
+
+636
+00:52:49,450 --> 00:52:52,530
+ناشي في ال classification أنا عمال بحاول معاك
+
+637
+00:52:52,530 --> 00:52:59,490
+أوصلك لل task إيش هي وكيف أنت بدك تبنيها الآن من
+
+638
+00:52:59,490 --> 00:53:02,710
+ال classification المعروف اللي بدي أوصلك إياه أنه
+
+639
+00:53:02,710 --> 00:53:07,250
+لازم ال class أو ال target predefined يكون معرف
+
+640
+00:53:07,250 --> 00:53:11,940
+مسبقا مش أنت اللي بدك تشتهي تتحطهبدي أكون معرف
+
+641
+00:53:11,940 --> 00:53:15,160
+مسبقًا مثل قال لي و الله في عالم الحيوانات في عندي
+
+642
+00:53:15,160 --> 00:53:19,820
+فقاريات و لا فقاريات في الفقاريات في عندي ذوات
+
+643
+00:53:19,820 --> 00:53:24,800
+الدم الحار و ذوات الدم البارد و هذا مرتبط بأرجل و
+
+644
+00:53:24,800 --> 00:53:29,340
+هذا مالوش أرجل في اللي في اللي لا فقاريات و إيه
+
+645
+00:53:29,340 --> 00:53:32,160
+جرح قال لي قال لي و الله عندي كائن حي يأكل و يتنفس
+
+646
+00:53:32,160 --> 00:53:34,340
+ما هو كله الآن يأكل و يتنفس و لا شراهك لأنه كائن
+
+647
+00:53:34,340 --> 00:53:43,510
+حي في الآخر قال لك الآن لا يحتوي على عظاملا فقريات
+
+648
+00:53:43,510 --> 00:53:52,270
+وليس له أرجل تمام؟ واتخذ الشكل الطولي حصرته يعني
+
+649
+00:53:52,270 --> 00:53:56,410
+انت لحظة ردتك مواصفاته وانت بناء على الكلام اللي
+
+650
+00:53:56,410 --> 00:54:01,120
+أنا بقوله انت وصلت لمين؟يعني مثلًا لواحد من الـ
+
+651
+00:54:01,120 --> 00:54:04,360
+two objects هدولة اللي موجودة عندي وبالتالي هي ال
+
+652
+00:54:04,360 --> 00:54:08,400
+classification أنت عندك معرفة بدك تبنيها من ال
+
+653
+00:54:08,400 --> 00:54:13,400
+data set عشان تتنبأ لو أعرضتلك حالة مشابهة ما
+
+654
+00:54:13,400 --> 00:54:16,940
+جُلتلك .. ما جُلتلكاش حالة منهم الحالة اللي منهم
+
+655
+00:54:16,940 --> 00:54:19,620
+الأصل أنت تديني one hundred percent وما تخطأيش
+
+656
+00:54:19,620 --> 00:54:23,540
+فيهم بس أنا بعلم cash عشان أختبرك في ال إيه؟ في ال
+
+657
+00:54:23,540 --> 00:54:28,100
+.. في الموجود اللي أنا بجهزك عشان تقدر تتعامل مع
+
+658
+00:54:28,100 --> 00:54:29,000
+ال case الجديدة
+
+659
+00:54:40,450 --> 00:54:43,290
+كيف يعني؟ مش فاهم يعني مثلا بالجانات الحياة
+
+660
+00:54:43,290 --> 00:54:48,270
+بتتنفسر .. أه هو الآن .. هسير لاحقا إذا الآن ..
+
+661
+00:54:48,270 --> 00:54:51,670
+الآن .. لما نتكلم في ال .. ال attribute أو في ال
+
+662
+00:54:51,670 --> 00:54:56,710
+selection إذا الآن ال attribute هذا كله فيه
+
+663
+00:54:56,710 --> 00:55:00,870
+constant value أو ال variation فيه قليلة فهذا ال
+
+664
+00:55:00,870 --> 00:55:04,930
+attribute useless فبحثوا فهم ممكن يديني إيش مش ..
+
+665
+00:55:04,930 --> 00:55:08,590
+ما .. ما بتنفس مثلا هم كل اللي عندك .. يقولوا كله
+
+666
+00:55:08,590 --> 00:55:14,020
+شرط يعني معناته بيكون outlierالفكرة كمان مرة، الآن
+
+667
+00:55:14,020 --> 00:55:18,480
+.. «أو ما تخدعش معين الأدبار» خلاص، هذا الـ «Raw»
+
+668
+00:55:18,480 --> 00:55:21,340
+بده ينشال مش لازم يظل موجود عندى أو الـ
+
+669
+00:55:21,340 --> 00:55:25,140
+«Attribute» هذا عفواً ببطل القيمة لأنه كمان مرة يا
+
+670
+00:55:25,140 --> 00:55:29,560
+جماعة الخير الأصل .. الأصل أنه أنا بأدور على
+
+671
+00:55:29,560 --> 00:55:33,100
+«Discriminative Attributes» صفات مميزة آجي أقول
+
+672
+00:55:33,100 --> 00:55:37,580
+على سبيل المثال آجي أقول والله الـ «Gender» بدي
+
+673
+00:55:37,580 --> 00:55:43,100
+أحطه من ضمن الـ «Attribute» فيهتأثير الحالة الصحية
+
+674
+00:55:43,100 --> 00:55:48,220
+تأثير الحالة الصحية لقلاب مدرسة الشجاعية
+
+675
+00:55:48,220 --> 00:55:53,720
+الإبتدائية للذكور انت ملاحظ؟ لأن هذا ال attribute
+
+676
+00:55:53,720 --> 00:56:00,340
+useless لأن ال society تبعتك اللي انت مستهدفها
+
+677
+00:56:00,340 --> 00:56:06,160
+كلها نفس الفئة فبالتالي هذا ال attribute مش مميز
+
+678
+00:56:06,160 --> 00:56:07,120
+نعم
+
+679
+00:56:10,800 --> 00:56:13,700
+ما هي اللي أنا قلته، عشان هيك ماكنتش الـFly هي
+
+680
+00:56:13,700 --> 00:56:19,720
+المؤثرة كنت بتكلم على النفس والأكل والريش، هدول
+
+681
+00:56:19,720 --> 00:56:24,480
+اللي طائر وكانت النفس والأكل أجوى، ليش؟ لأنه زي ما
+
+682
+00:56:24,480 --> 00:56:28,580
+قلنا ممكن يكون في عندي طائرة مغطا، مغطا بريش الآن
+
+683
+00:56:28,580 --> 00:56:32,940
+هذا مثال آخر، جاله هي ال data set هذا مثال شركة
+
+684
+00:56:32,940 --> 00:56:38,410
+تأمين، بدها تأمين السياراتشركات التأمين بتفتح عشان
+
+685
+00:56:38,410 --> 00:56:40,930
+تكسب من المصارى اللى بتاخدها حجب بوليست التأمين
+
+686
+00:56:40,930 --> 00:56:44,690
+الآن إذا كل واحد بده يسجل عندى أو بده يأمن عندى
+
+687
+00:56:44,690 --> 00:56:48,410
+بده يعمل حادث وانا بده أدفعله مات وانا هاخسر فالآن
+
+688
+00:56:48,410 --> 00:56:52,890
+قالوا بده نعمل دراسة نقدر ال risk تبع بوليست
+
+689
+00:56:52,890 --> 00:56:57,930
+التأمين high high ولا low جابونله ال circle data
+
+690
+00:56:57,930 --> 00:57:04,430
+عندهم هيها فيها ال age وفيها ال typeوفعلياً ال
+
+691
+00:57:04,430 --> 00:57:08,150
+risk في ال reality هذه الأحداث كانت موجودة عندهم
+
+692
+00:57:08,150 --> 00:57:12,010
+كانت ال risk high ولا low الآن مفهوم ال
+
+693
+00:57:12,010 --> 00:57:16,490
+classification أنه يجب أن يبني أو يدرس ال data set
+
+694
+00:57:16,490 --> 00:57:21,510
+high ويبني لي predictor أو يديني classifier عشان
+
+695
+00:57:21,510 --> 00:57:26,850
+لما أنا آجي أقوله والله أنا فيه عندي راجل عمره
+
+696
+00:57:26,850 --> 00:57:30,690
+ستين سنة وبيدو سوق sport car
+
+697
+00:57:36,030 --> 00:57:39,910
+الـ Risk High و لا Low؟ انت بقى بتقول High و غيرك
+
+698
+00:57:39,910 --> 00:57:43,630
+بدي يقول Low بس الآن مش على كيفك ال system بعد ما
+
+699
+00:57:43,630 --> 00:57:50,490
+بيعمل Analysis تمام؟ هيروح يديني Specific Rule وهو
+
+700
+00:57:50,490 --> 00:57:54,110
+اللي بدي يقوللي ال system هذا استخدمنا فيه
+
+701
+00:57:54,110 --> 00:57:59,650
+decision tree فقاللي إذا كان العمر أقل من 25 فال
+
+702
+00:57:59,650 --> 00:58:07,660
+Risk High مباشرة إذا ال age أكبر من 25تمام؟ العامل
+
+703
+00:58:07,660 --> 00:58:11,540
+التاني اللي في ال risk نوع السيارة إذا كانت sport
+
+704
+00:58:11,540 --> 00:58:18,620
+car فهي ال risk high otherwise ال risk low بالتالي
+
+705
+00:58:18,620 --> 00:58:25,540
+ال prediction تبعت هذه high تمام؟
+
+706
+00:58:25,540 --> 00:58:30,080
+هي المطلوب مني إن ال systemأو الـ Machine Learning
+
+707
+00:58:30,080 --> 00:58:34,560
+Algorithm كـ classifier ياخد ال data set يحللها
+
+708
+00:58:34,560 --> 00:58:40,940
+يبني decisions قرارات عشان يقول في الآخر ال risk
+
+709
+00:58:40,940 --> 00:58:43,540
+high ولا low بينفعش يقول intermediate
+
+710
+00:58:46,030 --> 00:58:50,150
+ولا بيقوله بالنسبة معينة، الآن هو تعلم عشان ياخد
+
+711
+00:58:50,150 --> 00:58:54,930
+قرار إما بـhigh أو low مافيش .. مافيش إله خيار غير
+
+712
+00:58:54,930 --> 00:58:57,950
+هيكده، الآن يا جماعة الخيار .. و هذه الميزة اللي
+
+713
+00:58:57,950 --> 00:59:01,810
+بتميز فيها الإنسان عن الآلة، الآلة بتعلم .. الآلة
+
+714
+00:59:01,810 --> 00:59:05,390
+بتعلمه high و low بس، فبيصير جوابك high و low،
+
+715
+00:59:05,390 --> 00:59:07,730
+مافيش .. مافيش عنده جماعة غير هيك، بتع .. لكن
+
+716
+00:59:07,730 --> 00:59:11,550
+الإنسان بيجي يقولك يا عم يصبر شوية، هذا ستين سنة
+
+717
+00:59:12,370 --> 00:59:16,810
+راجل عاجل وراكز ومش عارف .. وربنا ومنعم عليه
+
+718
+00:59:16,810 --> 00:59:22,610
+بالفلوس وين المشكلة الـ Mercedes Sport Car؟ هيمشي
+
+719
+00:59:22,610 --> 00:59:26,910
+فيها بالراحة، جماد أول الراجل، بخاف عليا لا تنخدش،
+
+720
+00:59:26,910 --> 00:59:30,470
+فهيمشي فيها بالراحة، فهذه المعايير بتصير عند الـ
+
+721
+00:59:30,470 --> 00:59:34,410
+human بتلعب دور، لكن عند الآلة strict، واحد زائد
+
+722
+00:59:34,410 --> 00:59:37,500
+واحد يساوي اتنينوبالتالي ال prediction يا رامي
+
+723
+00:59:37,500 --> 00:59:41,420
+تبقى على ال data set ما تقولليش أنت ال case طبعا
+
+724
+00:59:41,420 --> 00:59:45,180
+برجع و بأكد يا جماعة الخير اللي كانت المشكلة أنه
+
+725
+00:59:45,180 --> 00:59:48,440
+أنا رسمت ال data set قدامك أو حاولت أبنيها قدامك
+
+726
+00:59:48,440 --> 00:59:52,580
+بالتشاور معاك لكن لو حاطيتك إياها فجأة هتختلف
+
+727
+00:59:52,580 --> 00:59:56,980
+نظرتك تماما لا إلاالـ mining task التاني اللي في
+
+728
+00:59:56,980 --> 01:00:01,420
+الـ prediction الـ regression وحكينا فيها كتير
+
+729
+01:00:01,420 --> 01:00:05,920
+قيمة الأسس، قيمة السهم الآن لما أنا بتكلم في الـ
+
+730
+01:00:05,920 --> 01:00:10,160
+regression يا شباب إنه أنا فعلياً بتكلم إنه بدي
+
+731
+01:00:10,160 --> 01:00:17,580
+أعمل prediction ل value كمية المبيعات قيمة السهم
+
+732
+01:00:17,580 --> 01:00:25,080
+كمية المطر المتساقطة سرعة الرياح درجة الحرارةلاحظ
+
+733
+01:00:25,080 --> 01:00:29,420
+ولا مرة من المرات قلتلك بده يرتفع ولا ينخفض ولا
+
+734
+01:00:29,420 --> 01:00:33,740
+يبقى ثابت قلتلك اتديني value وغالبا بندور على
+
+735
+01:00:33,740 --> 01:00:39,640
+continuous value تمام؟ وهكذا .. هكذا أنا بتكلم على
+
+736
+01:00:39,640 --> 01:00:44,120
+regression .. regression task باجي بقول والله
+
+737
+01:00:44,120 --> 01:00:49,060
+أسعار المنازل في المنطقة الفلانية بعد تلت سنوات
+
+738
+01:00:49,060 --> 01:00:55,030
+كده هيتصيربناء على مواصفات المنزل 200 متر مكوّن من
+
+739
+01:00:55,030 --> 01:00:58,830
+أربع غرف مثلا وشرفة وإلى آخره وحديقة من هالكلام
+
+740
+01:00:58,830 --> 01:01:02,830
+هذا هذه المواصفات كلها بتقول إن البيت بعد هيكد
+
+741
+01:01:02,830 --> 01:01:07,490
+هيكون هذا حاجه مثلا 600 ألف دولار بعد تلت سنوات
+
+742
+01:01:07,490 --> 01:01:12,610
+هذه regression ليش؟ لأن فعليا أنا بتكلم على value
+
+743
+01:01:19,930 --> 01:01:22,330
+الـ Clustering في الـ Descriptive Data Mining
+
+744
+01:01:22,330 --> 01:01:27,730
+Tasks في الـ Descriptive البيانات الوصفية احنا
+
+745
+01:01:27,730 --> 01:01:31,170
+شفنا واشتغلنا مع بعض بالمثال الأول لما قلتلك
+
+746
+01:01:31,170 --> 01:01:37,040
+وزعلياهم لمجمعتين وزعلياهم لأربع مجموعاتفانت
+
+747
+01:01:37,040 --> 01:01:40,200
+فعليًا كنت بتوزع ال data points اللي هو الصور
+
+748
+01:01:40,200 --> 01:01:43,220
+كانوا عندنا أو ال rows اللي في ال data set اللي
+
+749
+01:01:43,220 --> 01:01:48,720
+عندي بناءً على ال similarity تبعتها في المجموعة
+
+750
+01:01:48,720 --> 01:01:55,200
+ليش ماحطتش الطير أو العصفور مع الطيارة؟ لأن فيه
+
+751
+01:01:55,200 --> 01:01:57,480
+إيه ال characteristics أو attributes خاصة عن
+
+752
+01:01:57,480 --> 01:02:02,060
+الطيارة فكان في مجموعة تانية لكن لو احنا مثلًا
+
+753
+01:02:04,060 --> 01:02:07,300
+بقولنا والله إنهم بيكونوا هدولة في مجموعتين وبناء
+
+754
+01:02:07,300 --> 01:02:13,980
+على سلوب التنقل الموجود كمان ممكن الطيارة والعصفر
+
+755
+01:02:13,980 --> 01:02:16,700
+يكونوا في نفس المكان ولا لأ؟ بناء على ال
+
+756
+01:02:16,700 --> 01:02:19,480
+properties أو ال characteristics لكن ال data .. ال
+
+757
+01:02:19,480 --> 01:02:24,780
+system كل اللي بياخده منك عدد ال clusters اللي أنت
+
+758
+01:02:24,780 --> 01:02:28,780
+محتاجها جداش .. كام cluster أنت محتاجه؟ اتنين،
+
+759
+01:02:28,780 --> 01:02:33,490
+تلاتة، أربعة؟ وبروح بصنفلك إياهمأو بعفوًا بجسملك
+
+760
+01:02:33,490 --> 01:02:37,270
+إياهم و بقولك العناصر كذا في المجموعة الفلانية
+
+761
+01:02:37,270 --> 01:02:39,910
+العناصر كذا في المجموعة التالية العناصر كذا في
+
+762
+01:02:39,910 --> 01:02:43,050
+المجموعة الثالثة في الرابعة و بعد هيك و بيقف لحد
+
+763
+01:02:43,050 --> 01:02:48,050
+الأربعة لا بيزيد خمسة ولا بيوقف عن تلاتة بناء على
+
+764
+01:02:48,050 --> 01:02:52,110
+ال similarity الموجودة هذه العناصر الآن اللي هي
+
+765
+01:02:52,110 --> 01:02:56,250
+دوائر اللون اللي باللون الأصفرفعلياً هي الـ data
+
+766
+01:02:56,250 --> 01:03:02,450
+set تبعتنا هي مجموعة الصور تبعتنا الآن واضح أنه في
+
+767
+01:03:02,450 --> 01:03:07,130
+توزيع ما بينهم إبعاد عن بعض في الرسم يعني فعلياً
+
+768
+01:03:07,130 --> 01:03:13,830
+قبيعتهم مقسمات مصنفات فكانت هذه واحدة هذه اتنتين
+
+769
+01:03:13,830 --> 01:03:17,850
+هذه تلاتة وهذا هو التجميع فبيجي دور ال cluster
+
+770
+01:03:17,850 --> 01:03:22,470
+algorithm بيجي يقول لي هذه العناصرمن كذا لكذا في
+
+771
+01:03:22,470 --> 01:03:25,730
+المجموعة الأولى، كذا لكذا لمجموعة تانية، كذا وكذا
+
+772
+01:03:25,730 --> 01:03:30,790
+للمجموعة اللي بعدها من الـ Outer طبعا فيه هنا مثال
+
+773
+01:03:30,790 --> 01:03:33,850
+على ال document clustering تجميع المستندات أو
+
+774
+01:03:33,850 --> 01:03:37,170
+تصنيف المستندات المستندات اللي موجودة على ال web
+
+775
+01:03:37,170 --> 01:03:42,680
+أو في ال Wikipediaممكن تصنف؟ أه ممكن تصنف، بناء
+
+776
+01:03:42,680 --> 01:03:46,120
+على إيش؟ بناء على المحتوى، معناته أنا بدأ أروح
+
+777
+01:03:46,120 --> 01:03:49,400
+أدور أخد ال frequent term أو ال frequent words
+
+778
+01:03:49,400 --> 01:03:52,660
+اللي في كل document تمام؟ و أحاول أعرف ال
+
+779
+01:03:52,660 --> 01:03:55,800
+categories اللي موجودة و أجسمهم بدون ما أعرف ال
+
+780
+01:03:55,800 --> 01:03:58,200
+categories اللي أنا بصير classification، هجسمهم
+
+781
+01:03:58,200 --> 01:04:01,780
+على مجموعات بناء على قربهم أو بعضهم، حسب بديهم
+
+782
+01:04:01,780 --> 01:04:07,330
+مجموعتين، تلاتة، أربعةفي الـ Outlier Detection
+
+783
+01:04:07,330 --> 01:04:11,830
+كذلك هي Descriptive Task Descriptive Task الآن
+
+784
+01:04:11,830 --> 01:04:17,710
+بتفرق شوية عن ال Clustering إنه أنا بدي أصير أدور
+
+785
+01:04:17,710 --> 01:04:22,630
+على النقاط البعيدة اللي مافيش شغلات بتشبهها لو أنا
+
+786
+01:04:22,630 --> 01:04:26,030
+أجيب و قلتلك هذا الرسم في الـ 2D لكل ال data 6
+
+787
+01:04:26,030 --> 01:04:31,720
+ببعتي الآن واضح إن هي هذه النقطةoutlier لأنه مافيش
+
+788
+01:04:31,720 --> 01:04:36,100
+شغلة حواليها مافيش إشي بشابهها مافيش بعيدة عن
+
+789
+01:04:36,100 --> 01:04:39,940
+الجيران نفس
+
+790
+01:04:39,940 --> 01:04:42,920
+الكلام النقطة هاي .. نفس الكلام النقطة هاي طب
+
+791
+01:04:42,920 --> 01:04:46,840
+التلاتة هدول أه بنقر يكونوا outlier التلاتة لأنه
+
+792
+01:04:46,840 --> 01:04:51,020
+لم يصلوا إلى الحد الأدنى من التجمع يعني أشيقول
+
+793
+01:04:51,020 --> 01:04:54,640
+والله مثلا أقل عدد .. أقل تجمع بدي اعتبره أربع
+
+794
+01:04:54,640 --> 01:04:58,360
+عناصر، خمس عناصر، عشر عناصر، مائة عنصر وبيتلاحظ
+
+795
+01:04:58,360 --> 01:05:03,360
+شغلة تانية كمانهدول كلياتهم جايات مع بعض as one
+
+796
+01:05:03,360 --> 01:05:08,560
+cluster على الرغم إن النقاط نوعا ما متباعدة وهنا
+
+797
+01:05:08,560 --> 01:05:13,460
+بيصير إنه ماحدش بيقول إن ال density تبعت ال
+
+798
+01:05:13,460 --> 01:05:18,280
+cluster اللي عندي تكون متساويةالمجموعات اللي عندي
+
+799
+01:05:18,280 --> 01:05:22,700
+مش بالضرورة تكون بتحتوي نفس الأعداد ومش بالضرورة
+
+800
+01:05:22,700 --> 01:05:27,400
+كلها نفس الكثافة واضح هذا أكثر كثافة من كل ال
+
+801
+01:05:27,400 --> 01:05:30,380
+clusters اللي موجودة عندي ولا لأ؟ بينما هذا هو
+
+802
+01:05:30,380 --> 01:05:34,520
+الأقل كثافة هذا الأكثر انتظاما هذا وهذا بينما هذا
+
+803
+01:05:34,520 --> 01:05:38,460
+لأ شوية في بعض لكن في الآخر بال outlier detection
+
+804
+01:05:38,460 --> 01:05:44,130
+أنا بكون بهمني فقط التعامل مع النقاطاللي هي
+
+805
+01:05:44,130 --> 01:05:48,290
+المنفردة أو المعزولة عن التجمعات اللي موجودة اللي
+
+806
+01:05:48,290 --> 01:05:55,650
+أنا عمالًا بحاول أحددها ممكن
+
+807
+01:05:55,650 --> 01:06:00,910
+.. ممكن .. انت مش ممكن تختصير تساوي تتحقق .. تتحقق
+
+808
+01:06:00,910 --> 01:06:04,910
+ال value هذه .. هذه صارت out لا يعني بسبب إيش؟
+
+809
+01:06:04,910 --> 01:06:10,290
+مثلًا في طائر و مش محطول إنه يتنفس ممكن أراح ..
+
+810
+01:06:10,290 --> 01:06:13,050
+أراح سجل الحالة تبعته بعد ما مات
+
+811
+01:06:16,070 --> 01:06:19,230
+طبعا؟ فهيبدأ تصير تسأل هذي ال outlier ليش كانت
+
+812
+01:06:19,230 --> 01:06:22,650
+موجودة
+
+813
+01:06:22,650 --> 01:06:28,250
+الان
+
+814
+01:06:28,250 --> 01:06:31,370
+بيصير في عندك مشكلة في ده يعني الان تخيل النقاط
+
+815
+01:06:31,370 --> 01:06:32,710
+موزعة هيك مؤمن بيقول
+
+816
+01:06:46,680 --> 01:06:52,300
+لا حتمًا في عندك مشكلة في ال data آه
+
+817
+01:06:52,300 --> 01:06:56,040
+آه ال outlier ليش أنا بدي أعمل عليها detection إذا
+
+818
+01:06:56,040 --> 01:06:58,620
+بهدف جابتلي طبعًا واحدة من ال learn من ال
+
+819
+01:06:58,620 --> 01:07:05,570
+preprocessing تحييض ال outlier لأنه بيأثر علىقرار
+
+820
+01:07:05,570 --> 01:07:08,530
+النظام أو على تعليم الـ system اللي موجود عندك
+
+821
+01:07:08,530 --> 01:07:12,610
+فانت data set بالشكل هذا data set غير منظمة فيها
+
+822
+01:07:12,610 --> 01:07:17,750
+مشكلة بدك تشوف الآن إيه السبب المشكلة هذه و تحاول
+
+823
+01:07:17,750 --> 01:07:21,890
+تتجنبها أو بتروح تحذف كل out layers point هاي اللي
+
+824
+01:07:21,890 --> 01:07:26,230
+موجودة عندك حتى لو بيخسر data كتير ماحدش بيقول إنه
+
+825
+01:07:26,230 --> 01:07:34,360
+data الآن يعني تخ ..الأصل الـ data بتكون ملائمة
+
+826
+01:07:34,360 --> 01:07:38,220
+وتكون ذات جودة عالية لل task اللي أنت بتتنفذها
+
+827
+01:07:38,220 --> 01:07:42,720
+وإلا مش هتحصل على قرار سليم لأنه كمان مرة إذا هذه
+
+828
+01:07:42,720 --> 01:07:46,160
+النقاط بدها تدخل في الحسبة لاحقا في حسبة القرار
+
+829
+01:07:46,160 --> 01:07:50,200
+بتصير تحرف القرار عن الصحة وبالتالي مافيش قدامك
+
+830
+01:07:50,200 --> 01:07:53,080
+اللي جار انت إيش تخلص منها
+
+831
+01:08:01,120 --> 01:08:06,140
+مش هني مشكلة لإن أنا فعليا بدور هل في عندي outlier
+
+832
+01:08:06,140 --> 01:08:10,460
+ولا لأ أديك حالة إن ال outlier هيصير بحد ذاته هو
+
+833
+01:08:10,460 --> 01:08:14,680
+المطلوب الآن إياد الشام بيستخدم بطاقة لإتمان
+
+834
+01:08:14,680 --> 01:08:22,160
+وبشتري معدل الشهر 250 دولار تمام؟ وهذا الكلام لل
+
+835
+01:08:22,160 --> 01:08:25,020
+trend تبعه له خمس أو ست سنوات من يوم ما أخد
+
+836
+01:08:25,020 --> 01:08:32,470
+البطاقةالشهر هذا شهر اتنين الفين وعشرين مشتريات
+
+837
+01:08:32,470 --> 01:08:36,330
+إياد الشامي تجاوزت الست مائة دولار على البطاقة و
+
+838
+01:08:36,330 --> 01:08:42,830
+احنا لسه على الشهر ماخلصش شو رأيك؟ outlier و هذا
+
+839
+01:08:42,830 --> 01:08:46,130
+اللي أنا بدي .. اللي بدي أتحقق خلاص بدي أوقف عشان
+
+840
+01:08:46,130 --> 01:08:51,570
+أتحقق من الحالة اللي موجودة عندي وبالتاليأنا قاعد
+
+841
+01:08:51,570 --> 01:08:54,750
+بقى أشتغل إن والله ال data set اللي عندي أو ال
+
+842
+01:08:54,750 --> 01:08:58,510
+outlier هي بحد ذاتها هي المطلوبة فممكن زي ما بنقول
+
+843
+01:08:58,510 --> 01:09:02,050
+للشباب إنه فعليا ال outlier هذه هي بحد ذاتها
+
+844
+01:09:02,050 --> 01:09:06,170
+المطلوبة ممكن تكون مطلوبة بسبب الحماية إنه أنا
+
+845
+01:09:06,170 --> 01:09:09,610
+فعليا الحركة هذه صارت .. مش هي الحركة الحقيقية على
+
+846
+01:09:09,610 --> 01:09:14,820
+حركة إياد الشامي ومن ثمالإحتمال الأكبر أنه في
+
+847
+01:09:14,820 --> 01:09:19,240
+البطاقة صُرِقت وبالتالي أنا إيش؟ بدي أوقف البطاقة
+
+848
+01:09:19,240 --> 01:09:21,820
+لحد ما أتأكد إنه فعليا هو صاحبها اللي عمال بيشتري
+
+849
+01:09:21,820 --> 01:09:25,480
+ولا لأ فزي ما قلتلك أحيانا الـ outlier بيلزمني في
+
+850
+01:09:25,480 --> 01:09:28,600
+الـ network traffic أنا الآن في الـ server الجامعة
+
+851
+01:09:28,600 --> 01:09:34,100
+كل طلاب الجامعة القدامة والجداد يعدوبهم خمسين ألف
+
+852
+01:09:34,100 --> 01:09:36,860
+قدامة وجداد بدي أقول كتالة اللي هم ال active واللي
+
+853
+01:09:36,860 --> 01:09:40,260
+ممكن يزوروا صفحتي الجامعة في لحظة من اللحظات ال
+
+854
+01:09:40,260 --> 01:09:46,730
+request خطأت الميت ألفمرة واحدة لأ واجه شوية في ..
+
+855
+01:09:46,730 --> 01:09:49,710
+في عمال يعمل .. عمال بتتعرض لهجوم معين أنا بدي
+
+856
+01:09:49,710 --> 01:09:53,710
+أنتبهله فبتصير ال outlier بحد ذاتها معرفتها أو
+
+857
+01:09:53,710 --> 01:09:58,090
+تحقيق .. تحقيق أو تأكيدها هي المطلوبة هي الغاية
+
+858
+01:09:58,090 --> 01:10:02,030
+بذاتها مش لإنه أنا بدي أبعد أستبعدها لأ لإنه أنا
+
+859
+01:10:02,030 --> 01:10:07,300
+هتعالج المشكلة هتترتب عليهاهذه صورة برضه مثالة للـ
+
+860
+01:10:07,300 --> 01:10:09,800
+Ozone، لطابقة الـ Ozone و للـ Outer Air Detection
+
+861
+01:10:09,800 --> 01:10:12,400
+آخر حاجة عندنا في الـ Mining Task اللي هي الـ
+
+862
+01:10:12,400 --> 01:10:16,160
+Association Rule، الارتباط، معاملات الارتباط أو
+
+863
+01:10:16,160 --> 01:10:21,240
+العناصر، قوانين ارتباط العناصر مع بطن، هان أنا
+
+864
+01:10:21,240 --> 01:10:26,790
+فعليا بأدور على Interesting Relationshipعلاقات بين
+
+865
+01:10:26,790 --> 01:10:30,910
+مين؟ بين الـ Variables لاحظ ما اتكلمتش على الـ
+
+866
+01:10:30,910 --> 01:10:34,970
+Target في كل الـ Descriptive Outlier و Clustering
+
+867
+01:10:34,970 --> 01:10:38,990
+ما اتكلمتش على الـ Target الـ Target فقط موجود في
+
+868
+01:10:38,990 --> 01:10:42,870
+الـ Predictive في الـ Descriptive مافيش وكأنه كل
+
+869
+01:10:42,870 --> 01:10:46,770
+ال data set هي عبارة عن explanatory variables وانا
+
+870
+01:10:46,770 --> 01:10:50,850
+بنصير أتعامل معاها فقط و أدرس العلاقة ما بين ال
+
+871
+01:10:50,850 --> 01:10:56,820
+attributes هاي من أكثر الأمثلة المشهورة جداًارتباط
+
+872
+01:10:56,820 --> 01:11:01,800
+الأمراض بعادات أو بتصرفات مثلًا سرطان الرقب
+
+873
+01:11:01,800 --> 01:11:09,100
+التدغين مثلًا فقر الدم بالسوق التخزية مثلًا
+
+874
+01:11:09,100 --> 01:11:13,540
+البدانة بعد ممارسة الرياضة والإفراط في الأكل هذه
+
+875
+01:11:13,540 --> 01:11:17,420
+الـ Association ليست على حالة وتنتين وتلاتة هذه
+
+876
+01:11:17,420 --> 01:11:22,000
+أصلحت حقائق لأن كل الـ datasetبتقولّي والله الوزن
+
+877
+01:11:22,000 --> 01:11:25,920
+الزائد مع سوق تغذية وتدخين أو إفراط في التغذية
+
+878
+01:11:25,920 --> 01:11:30,500
+والتدخين ومافيش رياضة موجودين، تمام؟ فهذه عبارة عن
+
+879
+01:11:30,500 --> 01:11:36,020
+ارتباط بيجي بقولّي في ال transaction في المبيعات
+
+880
+01:11:36,020 --> 01:11:40,760
+الناس اللي بتشتري الأصناف الفلانية هي دايما اللي
+
+881
+01:11:40,760 --> 01:11:44,900
+بتدور على الأصناف كذا يعني مثلا بروح والله أسين من
+
+882
+01:11:44,900 --> 01:11:49,880
+الناس بروح بشتري السمن حيواني من ال supermarket
+
+883
+01:11:51,210 --> 01:11:58,610
+بروح بيشتري مثلا بيشتري المكسرات
+
+884
+01:11:58,610 --> 01:12:03,750
+لدرجة معينة فالآن هذا ال trend تبعه هيه هيك و
+
+885
+01:12:03,750 --> 01:12:08,690
+بيصير و بيصير عند ال supermarket قناعة تمة إن فئة
+
+886
+01:12:08,690 --> 01:12:12,950
+الناس هدول اللي بتروح على السمن الحيواني هذاهم نفس
+
+887
+01:12:12,950 --> 01:12:15,970
+الفئة اللي بتدور على الشغلات هدول فبصير إيش ممكن
+
+888
+01:12:15,970 --> 01:12:20,930
+يعيد ترتيب العناصر عشان يسهل عليهم موضوع الشراء
+
+889
+01:12:20,930 --> 01:12:26,990
+نعمبصير ممكن أوفر عقدر باعرف هدول جديش هم من حجم
+
+890
+01:12:26,990 --> 01:12:30,190
+الزبائن اللي عندي و بصير أنا بجيب الكيمية اللي
+
+891
+01:12:30,190 --> 01:12:34,250
+تتناسب مع احتياجاتهم بدون ما أتضرر أنا من خسارة
+
+892
+01:12:34,250 --> 01:12:37,850
+فالـ Association Rules مهمة و تطبيقاتها واسعة جدا
+
+893
+01:12:37,850 --> 01:12:44,170
+جديش الناس اللي بتستخدم Android و IOS مقابلًا في
+
+894
+01:12:44,170 --> 01:12:47,190
+الـ Accessories و ارتباطهم في .. مع البرامج اللي
+
+895
+01:12:47,190 --> 01:12:52,090
+موجودة و إلى آخرهمففعليًا أنه أنا بأدور .. بحاول
+
+896
+01:12:52,090 --> 01:12:58,230
+أدور على set of rules أبني مجموعة من القوانين توصف
+
+897
+01:12:58,230 --> 01:13:06,310
+ارتباط العناصر مع بعضها وهذا عادة يكون ضمن قوانين
+
+898
+01:13:06,310 --> 01:13:08,450
+محددة مثلًا، جالي هذه في عندي transaction
+
+899
+01:13:08,450 --> 01:13:12,070
+لسوبرماركت بيف و chicken و milk، في عندي سبعة
+
+900
+01:13:12,070 --> 01:13:18,550
+transactions الآن، لو أنا سألت قداش عدد الناساللي
+
+901
+01:13:18,550 --> 01:13:25,690
+اشترت حليب و لحمة مع بعض آه أخدت حليب و لحمة بيف و
+
+902
+01:13:25,690 --> 01:13:32,830
+milk واحد .. اتنين .. اتنين هل انا لو انا سألت
+
+903
+01:13:32,830 --> 01:13:35,730
+هدول لو قرفت راطون هي ال data 6 بقعت يا رايمي بس
+
+904
+01:13:35,730 --> 01:13:40,250
+عشان انا اقدر اتخيل الموضوع مدي اش اقول والله لان
+
+905
+01:13:40,250 --> 01:13:44,620
+في ارتباط بين اللحمة و الحليب مثلاOkay، جديش هذا
+
+906
+01:13:44,620 --> 01:13:49,080
+الكلام مدعوم من ال data set؟ جديش حقيقة ما موجود؟
+
+907
+01:13:49,080 --> 01:13:53,300
+اتنين على سبعة، اتنين على سبعة نسمة متدنية، وصلتش
+
+908
+01:13:53,300 --> 01:13:57,120
+لخمسين في المية، ولا لأ؟ ولو أتينا مثلا، جديش
+
+909
+01:13:57,120 --> 01:14:02,320
+الناس اللي أخدت مثلا ال chicken و beef مع بعض؟
+
+910
+01:14:02,320 --> 01:14:11,710
+واحد، اتنين، واحد، اتنين،تلاتة ال beef و ال
+
+911
+01:14:11,710 --> 01:14:15,110
+chicken ال beef و ال chicken واحدة .. اتنين ..
+
+912
+01:14:15,110 --> 01:14:19,070
+تلاتة .. وين الرابع يا أخو؟ ال cheese .. ال cheese
+
+913
+01:14:19,070 --> 01:14:23,110
+.. جبنة .. جبنة .. تمام؟ الآن ال beef و ال chicken
+
+914
+01:14:23,110 --> 01:14:28,350
+هذا تلاتة .. هذا الارتباط أكثر بس برضه ماوصلش ..
+
+915
+01:14:28,350 --> 01:14:31,710
+بس لكن أفضل من الأولاني على الأقل ممكن يصير فيه
+
+916
+01:14:31,710 --> 01:14:35,250
+توجه أن والله أن الناس .. يعني مش كلها بتاكل لحمة
+
+917
+01:14:35,250 --> 01:14:38,490
+حمراء فبياخدوا اللحمة وبياخدوا الدجاج لأنهم هم في
+
+918
+01:14:38,490 --> 01:14:44,820
+البيتالناس مقسمين على موضوع الأكل ففي الآخر ممكن
+
+919
+01:14:44,820 --> 01:14:47,940
+أحسب ال support و أحسب ال confidence حنشوف ينجدش
+
+920
+01:14:47,940 --> 01:14:51,540
+دقة الكلام الرولي اللي أنا بتقول عليه هذا بشكل
+
+921
+01:14:51,540 --> 01:14:56,300
+صحيح فوزن التكرار .. اه التكرار مهم .. وزنه .. كل
+
+922
+01:14:56,300 --> 01:15:01,380
+موقف .. مثلا اتنين تكرر تسعة أربع مرات الملك لحاله
+
+923
+01:15:01,380 --> 01:15:06,060
+يعني بكون frequent item لأ المقصد أنه لو قسمنا كل
+
+924
+01:15:06,060 --> 01:15:10,990
+..لأ لأ هو الأنش كمان الفكرة وين إذا بتكلم عن
+
+925
+01:15:10,990 --> 01:15:15,070
+الملك لحاله هذا attribute إذا البيف لحالها دي
+
+926
+01:15:15,070 --> 01:15:19,630
+attribute، الآن باجي بتكلم هذا جداش ال frequent،
+
+927
+01:15:19,630 --> 01:15:22,730
+جداش الطلب عليه، okay لكن مش association،
+
+928
+01:15:22,730 --> 01:15:24,930
+association لازم يكون في عندي two different
+
+929
+01:15:24,930 --> 01:15:29,690
+attributes على الأقل متلازمين مع بعضهم، هدول اللي
+
+930
+01:15:29,690 --> 01:15:34,340
+أنا بدأ أور عليهمالـ Minimum Support والـ Minimum
+
+931
+01:15:34,340 --> 01:15:37,700
+Confidence هنتكلم عليهم لاحقا لما نروح على ال
+
+932
+01:15:37,700 --> 01:15:42,500
+cluster على ال association rule بالتفصيل الآن أخر
+
+933
+01:15:42,500 --> 01:15:47,800
+شغلة بدنا إياها في محاضرة اليوم جبل ما نتكلم في ال
+
+934
+01:15:47,800 --> 01:15:54,260
+tools يعني إحنا فعليا .. فعليا قدرنا نلخص اليوم ال
+
+935
+01:15:54,260 --> 01:15:58,320
+miling task الخمسة اللي إحنا بدنا إياهم اللي هم
+
+936
+01:16:02,200 --> 01:16:05,940
+classification regression as predictive tasks بعد
+
+937
+01:16:05,940 --> 01:16:10,520
+هيك clustering و association rules وoutlier
+
+938
+01:16:10,520 --> 01:16:14,440
+detection as descriptive tasks بالنسبة لل tools
+
+939
+01:16:14,440 --> 01:16:16,820
+اللي بدنا نشتغل عليها طبعا بإمكانك تشتغل بال data
+
+940
+01:16:16,820 --> 01:16:20,800
+mining أي شغلة programming languages ممكن python و
+
+941
+01:16:20,800 --> 01:16:23,580
+ال R و ال Java و software packages في عندنا ال
+
+942
+01:16:23,580 --> 01:16:26,720
+RapidMiner و ال Weka و ال Orange هذه أساس ال
+
+943
+01:16:26,720 --> 01:16:32,260
+software package احنا بالنسبة لناهنشتغل python و
+
+944
+01:16:32,260 --> 01:16:36,180
+RapidMiner فبدي اياك نزل على جهازك الان نزل على
+
+945
+01:16:36,180 --> 01:16:41,160
+جهازك RapidMiner point 9 RapidMiner studio و ال
+
+946
+01:16:41,160 --> 01:16:48,700
+python بدي تنزللي ال spider Anaconda distribution
+
+947
+01:16:51,730 --> 01:16:56,050
+ما هو عشان انا اريحك من تنزيل المكتبات هاي نزل الـ
+
+948
+01:16:56,050 --> 01:16:58,890
+Spider Anaconda Distribution تبع الـ Python هذه
+
+949
+01:16:58,890 --> 01:17:03,690
+فيها كل ال libraries اللي انت محتاجها، تمام؟ الله
+
+950
+01:17:03,690 --> 01:17:06,390
+عطيكم العافية ونشوفكم ان شاء الله لمحاضرة الجاية
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_raw.json b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_raw.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f531230de68f6affeb85ac44706aa891cfd35b6
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/mLZ1tevgxvs_raw.json
@@ -0,0 +1 @@
+{"segments": [{"id": 1, "seek": 2502, "start": 5.3, "end": 25.02, "text": "بسم الله والحمد لله والصلاة والسلام على رسول الله اليوم ان شاء الله .. ان شاء الله تعالى هنكمل في ال introduction على ال data mining نتعرف على ال data mining tasks ونشوف ال tools اللي هنشغل عليها خلال الفصل ال .. لكن ال .. بدنا نعمل review سريعة", "tokens": [3555, 38251, 21984, 16070, 35571, 3215, 24976, 3224, 16070, 9381, 15040, 3660, 16070, 3794, 37440, 15844, 12602, 3794, 12610, 21984, 45595, 20498, 16472, 13412, 16606, 21984, 4386, 16472, 13412, 16606, 21984, 37279, 6027, 7578, 8032, 1863, 24793, 1211, 8978, 2423, 9339, 15844, 2423, 1412, 15512, 8717, 2655, 3615, 28480, 15844, 2423, 1412, 15512, 9608, 4032, 1863, 8592, 38688, 2423, 3873, 13672, 1829, 8032, 1863, 8592, 17082, 1211, 25894, 11296, 16490, 1211, 6027, 27188, 36520, 2423, 4386, 44381, 2423, 4386, 47525, 8315, 8717, 25957, 1211, 3131, 8608, 16572, 27884], "avg_logprob": -0.11192064338855529, "compression_ratio": 1.8130841121495327, "no_speech_prob": 1.2636184692382812e-05, "words": [{"start": 5.3, "end": 5.7, "word": "بسم", "probability": 0.868896484375}, {"start": 5.7, "end": 5.84, "word": " الله", "probability": 0.96044921875}, {"start": 5.84, "end": 6.14, "word": " والحمد", "probability": 0.8806966145833334}, {"start": 6.14, "end": 6.3, "word": " لله", "probability": 0.955322265625}, {"start": 6.3, "end": 6.6, "word": " والصلاة", "probability": 0.86328125}, {"start": 6.6, "end": 6.92, "word": " والسلام", "probability": 0.9720052083333334}, {"start": 6.92, "end": 7.08, "word": " على", "probability": 0.53369140625}, {"start": 7.08, "end": 7.36, "word": " رسول", "probability": 0.9853515625}, {"start": 7.36, "end": 7.54, "word": " الله", "probability": 0.935546875}, {"start": 7.54, "end": 9.34, "word": " اليوم", "probability": 0.88818359375}, {"start": 9.34, "end": 9.48, "word": " ان", "probability": 0.505859375}, {"start": 9.48, "end": 9.62, "word": " شاء", "probability": 0.9609375}, {"start": 9.62, "end": 9.7, "word": " الله", "probability": 0.8798828125}, {"start": 9.7, "end": 9.78, "word": " ..", "probability": 0.373779296875}, {"start": 9.78, "end": 10.16, "word": " ان", "probability": 0.8828125}, {"start": 10.16, "end": 10.28, "word": " شاء", "probability": 0.991943359375}, {"start": 10.28, "end": 10.38, "word": " الله", "probability": 0.9296875}, {"start": 10.38, "end": 10.8, "word": " تعالى", "probability": 0.98291015625}, {"start": 10.8, "end": 12.02, "word": " هنكمل", "probability": 0.9251708984375}, {"start": 12.02, "end": 12.12, "word": " في", "probability": 0.8916015625}, {"start": 12.12, "end": 12.3, "word": " ال", "probability": 0.94189453125}, {"start": 12.3, "end": 12.78, "word": " introduction", "probability": 0.89404296875}, {"start": 12.78, "end": 13.0, "word": " على", "probability": 0.38525390625}, {"start": 13.0, "end": 13.1, "word": " ال", "probability": 0.92626953125}, {"start": 13.1, "end": 13.22, "word": " data", "probability": 0.89501953125}, {"start": 13.22, "end": 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ذكرني سواء كان من الدفتر، من ال slides، من دماغه، طبعا لو كان من دماغه أفضل، ما هو، ما هي ال data mining، عرفلي ال data mining أه محمد عملية cleaning و analyzing ال data عشان أطلع منها knowledge more professional definition، اعطيني التعريف", "tokens": [19528, 995, 46811, 6225, 43042, 3224, 16247, 35457, 45367, 9673, 46958, 1829, 4724, 16254, 36764, 24401, 9154, 24793, 15844, 21136, 16572, 3615, 6024, 48506, 29910, 37983, 22653, 8608, 2407, 16606, 25961, 9154, 32748, 5172, 2655, 2288, 12399, 9154, 2423, 9788, 12399, 9154, 11778, 2304, 5718, 118, 3224, 12399, 23032, 3555, 3615, 995, 45164, 25961, 9154, 11778, 2304, 5718, 118, 3224, 5551, 5172, 11242, 1211, 12399, 19446, 31439, 12399, 19446, 39896, 2423, 1412, 15512, 12399, 6225, 28480, 20292, 2423, 1412, 15512, 5551, 3224, 3714, 35571, 3215, 6225, 42213, 10632, 8924, 4032, 23663, 2423, 1412, 6225, 8592, 7649, 5551, 9566, 1211, 3615, 9154, 11296, 3601, 544, 4843, 7123, 12399, 1975, 3615, 9566, 9957, 1829, 16712, 3615, 16572, 5172], 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"text": "هو عبارة عن group أو ordering parts repeated parts، مصبوط؟ يعني هذه العناصر أو هذه الـ parts ظهرت بترتيب معين وبنسبة تكرار معينة في الـ transformation لو كان عندي الـ date of birth قلنا عدد ال values اللي عندي كبير جداً وبالتالي بيصير التكرار الـ pattern", "tokens": [3224, 2407, 6225, 3555, 9640, 3660, 18871, 1594, 34051, 21739, 3166, 10477, 3166, 12399, 3714, 9381, 3555, 2407, 9566, 22807, 37495, 22653, 29538, 18863, 1863, 33546, 2288, 34051, 29538, 2423, 39184, 3166, 1357, 116, 3224, 43500, 39894, 2288, 31371, 3555, 20449, 9957, 46599, 1863, 35457, 3660, 6055, 37983, 9640, 20449, 9957, 3660, 8978, 2423, 39184, 9887, 45164, 25961, 43242, 1829, 2423, 39184, 4002, 295, 3965, 12174, 1211, 8315, 6225, 3215, 3215, 2423, 4190, 13672, 1829, 18871, 16254, 9122, 3555, 13546, 10874, 28259, 14111, 46599, 6027, 2655, 6027, 1829, 4724, 1829, 9381, 13546, 16712, 37983, 9640, 2423, 39184, 5102], "avg_logprob": -0.17282197210523817, "compression_ratio": 1.6208333333333333, "no_speech_prob": 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أستغني عن اليوم لأنه في الآخر لو سألت أي واحد فيهم مثلا للناس اللي ولدت في الألفين جديش عمرك يا فلان؟", "tokens": [2655, 37983, 9640, 29739, 2655, 2288, 12174, 20292, 1211, 10874, 28259, 23032, 1829, 3555, 4724, 16095, 8592, 5551, 3555, 3794, 9566, 16247, 2304, 13063, 37495, 22653, 28242, 2423, 8315, 3794, 13672, 1829, 3714, 12610, 23328, 9957, 8978, 8717, 36178, 21136, 1863, 3660, 3714, 43020, 41850, 5551, 14851, 17082, 22653, 18871, 25124, 3224, 2288, 4032, 5551, 14851, 17082, 22653, 18871, 45595, 20498, 5296, 33456, 3224, 8978, 6024, 95, 34740, 45164, 8608, 10721, 1211, 2655, 36632, 36764, 24401, 8978, 16095, 50113, 15040, 24976, 8315, 3794, 13672, 1829, 35525, 3215, 2655, 8978, 16247, 46538, 9957, 10874, 16254, 8592, 6225, 29973, 4117, 35186, 6156, 1211, 7649, 22807], "avg_logprob": -0.13115985390658563, "compression_ratio": 1.8805970149253732, "no_speech_prob": 7.808208465576172e-06, "words": [{"start": 384.31, "end": 384.87, "word": "تكرار", "probability": 0.7958984375}, 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breathe eat fly no weather ريش هيبرد الآن لاحظ أنا جاهز بجهز ال data set طبعا هذا بيكون وصف للعناصر اللي موجودة عندها", "tokens": [22830, 2086, 572, 4032, 7649, 995, 8978, 18871, 16254, 5720, 8978, 9673, 4587, 16758, 1211, 8978, 18871, 16254, 41850, 10192, 1862, 3603, 572, 5503, 12602, 1829, 8592, 39896, 26890, 3215, 6024, 48506, 20193, 5016, 19913, 41850, 10874, 40294, 11622, 4724, 7435, 3224, 11622, 2423, 1412, 992, 23032, 3555, 3615, 995, 23758, 4724, 1829, 30544, 4032, 9381, 5172, 24976, 3615, 1863, 33546, 2288, 13672, 1829, 3714, 29245, 23328, 3660, 43242, 11296], "avg_logprob": -0.2975352045515893, "compression_ratio": 1.4777777777777779, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 2331.58, "end": 2332.06, "word": "wheel", "probability": 0.37353515625}, {"start": 2332.06, "end": 2332.8, "word": " yes", "probability": 0.55419921875}, {"start": 2332.8, "end": 2334.18, "word": " no", "probability": 0.1866455078125}, {"start": 2334.18, "end": 2336.26, "word": " 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"word": " تلت", "probability": 0.9326171875}, {"start": 2489.59, "end": 2490.05, "word": " شغلات", "probability": 0.98681640625}, {"start": 2490.05, "end": 2490.77, "word": " أساسية", "probability": 0.9686279296875}, {"start": 2490.77, "end": 2492.85, "word": " مرتبطة", "probability": 0.965234375}, {"start": 2492.85, "end": 2493.11, "word": " بال", "probability": 0.97802734375}, {"start": 2493.11, "end": 2493.63, "word": " bird", "probability": 0.447021484375}, {"start": 2493.63, "end": 2496.79, "word": " الأكل", "probability": 0.87109375}, {"start": 2496.79, "end": 2499.13, "word": " والشرب", "probability": 0.7578125}, {"start": 2499.13, "end": 2500.21, "word": " والريش", "probability": 0.9449869791666666}, {"start": 2500.21, "end": 2500.37, "word": " وال", "probability": 0.759765625}, {"start": 2500.37, "end": 2500.59, "word": " feather", "probability": 0.88427734375}], "temperature": 1.0}, {"id": 93, "seek": 252357, "start": 2502.27, "end": 2523.57, "text": "مصبوط؟ عفوًا الأكل والنفس والأكل والريش ال flying مرتبطة بالطائر؟ لأ لأن العنصر التاني أو ال class التاني بيشاركي الطائر طبعا ماهيش الشغلات المرتبطة بالطائرة ال discriminative attribute اللي عندي ال wheel", "tokens": [2304, 9381, 3555, 2407, 9566, 22807, 6225, 5172, 2407, 14111, 995, 16247, 28820, 16070, 1863, 36178, 16070, 10721, 28820, 16070, 16572, 8592, 2423, 7137, 3714, 43500, 3555, 9566, 3660, 20666, 9566, 16373, 2288, 22807, 5296, 10721, 5296, 33456, 18863, 1863, 9381, 2288, 16712, 7649, 1829, 34051, 2423, 1508, 16712, 7649, 1829, 4724, 1829, 8592, 9640, 4117, 1829, 41950, 16373, 2288, 23032, 3555, 3615, 995, 19446, 3224, 1829, 8592, 25124, 17082, 1211, 9307, 9673, 43500, 3555, 9566, 3660, 20666, 9566, 16373, 25720, 2423, 20828, 1166, 19667, 13672, 1829, 18871, 16254, 2423, 5589], "avg_logprob": -0.1793478301361851, "compression_ratio": 1.6984924623115578, "no_speech_prob": 5.364418029785156e-07, "words": [{"start": 2502.27, "end": 2503.05, "word": "مصبوط؟", "probability": 0.7836100260416666}, 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خلنا .. ما خلنا نخصناش احنا، الآن هي ال data set اللي عندك وجيت قلتلك أن الآن أنا في عندي object، عندي object واضح أنه بيتنفس، والمعلومات اللي عندي", "tokens": [5016, 35457, 2423, 1412, 992, 13672, 1829, 43242, 8315, 34105, 12399, 3714, 9957, 5551, 4587, 2407, 7578, 22807, 37495, 22653, 39896, 4117, 41850, 12174, 1211, 2655, 35186, 6225, 11622, 1829, 11622, 1829, 1975, 2655, 3555, 34268, 16472, 3224, 4724, 2288, 3215, 6055, 2407, 9381, 5172, 13672, 26895, 3660, 39182, 11296, 4386, 20193, 20193, 20193, 12399, 19446, 31439, 1975, 8315, 39896, 4117, 10874, 47302, 4117, 12399, 1975, 8315, 10874, 47302, 4117, 20193, 5016, 4587, 995, 5551, 7435, 1829, 5551, 39648, 4117, 16712, 6027, 1829, 12399, 16472, 2655, 19446, 16490, 1211, 8315, 4386, 19446, 16490, 1211, 8315, 8717, 9778, 9381, 1863, 33599, 1975, 5016, 8315, 12399, 6024, 48506, 39896, 2423, 1412, 992, 13672, 1829, 43242, 4117, 49610, 36081, 12174, 1211, 2655, 23275, 14739, 6024, 48506, 41850, 8978, 18871, 16254, 2657, 12399, 18871, 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عيّان، أه؟ لأ، مرت حردانة منه بس دو ده نفسه مضرب عن الطعام الآن إيش التصنيف هذا لل object هذا يا راني؟", "tokens": [1829, 39648, 36145, 3224, 4724, 1829, 10721, 28820, 8592, 4032, 21292, 9566, 13546, 4032, 15042, 1211, 2407, 8592, 6225, 7435, 1211, 9307, 4032, 28814, 43761, 12602, 1829, 8592, 6225, 9381, 5172, 13063, 6225, 1829, 11703, 7649, 12399, 5551, 3224, 22807, 5296, 10721, 12399, 3714, 43500, 11331, 2288, 3215, 7649, 3660, 9154, 3224, 4724, 3794, 11778, 2407, 11778, 3224, 8717, 36178, 3224, 3714, 11242, 25513, 18871, 41950, 3615, 10943, 6024, 48506, 11933, 1829, 8592, 16712, 9381, 22653, 5172, 23758, 24976, 2657, 23758, 35186, 12602, 7649, 1829, 22807], "avg_logprob": -0.23078304186634635, "compression_ratio": 1.5083798882681565, "no_speech_prob": 0.0, "words": [{"start": 2822.02, "end": 2822.26, "word": "يقول", "probability": 0.710205078125}, {"start": 2822.26, "end": 2822.38, "word": " إنه", "probability": 0.8525390625}, {"start": 2822.38, "end": 2823.04, "word": " بيأكلش", 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"start": 3423.53, "end": 3450.69, "text": "وفعلياً ال risk في ال reality هذه الأحداث كانت موجودة عندهم كانت ال risk high ولا low الآن مفهوم ال classification أنه يجب أن يبني أو يدرس ال data set high ويبني لي predictor أو يديني classifier عشان لما أنا آجي أقوله والله أنا فيه عندي راجل عمره ستين سنة وبيدو سوق sport car", "tokens": [38688, 3615, 20292, 995, 14111, 2423, 3148, 8978, 2423, 4103, 29538, 16247, 24401, 5718, 104, 25961, 2655, 3714, 29245, 23328, 3660, 43242, 16095, 25961, 2655, 2423, 3148, 1090, 49429, 2295, 6024, 48506, 3714, 5172, 3224, 20498, 2423, 21538, 14739, 3224, 7251, 7435, 3555, 14739, 7251, 3555, 22653, 34051, 7251, 3215, 2288, 3794, 2423, 1412, 992, 1090, 4032, 1829, 3555, 22653, 32239, 6069, 284, 34051, 7251, 3215, 9957, 1829, 1508, 9902, 6225, 8592, 7649, 5296, 15042, 41850, 19753, 7435, 1829, 5551, 39648, 3224, 16070, 43761, 41850, 8978, 3224, 18871, 16254, 12602, 26108, 1211, 6225, 29973, 3224, 8608, 2655, 9957, 8608, 1863, 3660, 4032, 21292, 3215, 2407, 8608, 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Risk High مباشرة إذا ال age أكبر من 25", "tokens": [6027, 39184, 45892, 5229, 4032, 20193, 17078, 22807, 16472, 2655, 4724, 4587, 7578, 39894, 39648, 5229, 4032, 32771, 13546, 4117, 4724, 16254, 7251, 39648, 17078, 4724, 3794, 6024, 48506, 37893, 15844, 9122, 33911, 4117, 2423, 1185, 39182, 19446, 4724, 1829, 25957, 1211, 38172, 46811, 10943, 22807, 39896, 32887, 5016, 7251, 3215, 9957, 1829, 20484, 1089, 27533, 37037, 2407, 13672, 1829, 4724, 16254, 7251, 39648, 20292, 2423, 1185, 23758, 44713, 9778, 40448, 8315, 8978, 3224, 3537, 4230, 6156, 4587, 6027, 20292, 11933, 15730, 25961, 18863, 29973, 5551, 4587, 1211, 9154, 3552, 6156, 6027, 45892, 5229, 3714, 3555, 33599, 25720, 11933, 15730, 2423, 3205, 5551, 4117, 26890, 9154, 3552], "avg_logprob": -0.20833333319535963, "compression_ratio": 1.587360594795539, "no_speech_prob": 1.8477439880371094e-06, "words": [{"start": 3456.03, "end": 3456.29, "word": "الـ", "probability": 0.871337890625}, {"start": 3456.29, "end": 3456.43, "word": " 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"word": " هذا", "probability": 0.88916015625}, {"start": 3472.95, "end": 3473.91, "word": " استخدمنا", "probability": 0.8887939453125}, {"start": 3473.91, "end": 3474.11, "word": " فيه", "probability": 0.992431640625}, {"start": 3474.11, "end": 3474.45, "word": " decision", "probability": 0.87841796875}, {"start": 3474.45, "end": 3474.85, "word": " tree", "probability": 0.87060546875}, {"start": 3474.85, "end": 3476.73, "word": " فقاللي", "probability": 0.927734375}, {"start": 3476.73, "end": 3477.43, "word": " إذا", "probability": 0.860107421875}, {"start": 3477.43, "end": 3477.69, "word": " كان", "probability": 0.99755859375}, {"start": 3477.69, "end": 3478.03, "word": " العمر", "probability": 0.914794921875}, {"start": 3478.03, "end": 3478.39, "word": " أقل", "probability": 0.9869791666666666}, {"start": 3478.39, "end": 3478.51, "word": " من", "probability": 0.99658203125}, {"start": 3478.51, "end": 3479.27, "word": " 25", "probability": 0.94482421875}, {"start": 3479.27, "end": 3479.65, "word": " فال", "probability": 0.97119140625}, {"start": 3479.65, "end": 3479.81, "word": " Risk", "probability": 0.583984375}, {"start": 3479.81, "end": 3480.05, "word": " High", "probability": 0.82958984375}, {"start": 3480.05, "end": 3480.65, "word": " مباشرة", "probability": 0.9935302734375}, {"start": 3480.65, "end": 3482.05, "word": " إذا", "probability": 0.968994140625}, {"start": 3482.05, "end": 3482.73, "word": " ال", "probability": 0.974609375}, {"start": 3482.73, "end": 3483.05, "word": " age", "probability": 0.422607421875}, {"start": 3483.05, "end": 3483.47, "word": " أكبر", "probability": 0.9842122395833334}, {"start": 3483.47, "end": 3483.63, "word": " من", "probability": 0.9951171875}, {"start": 3483.63, "end": 3484.17, "word": " 25", "probability": 0.984375}], "temperature": 1.0}, {"id": 129, "seek": 350794, "start": 3485.86, "end": 3507.94, "text": "تمام؟ العامل التاني اللي في ال risk نوع السيارة إذا كانت sport car فهي ال risk high otherwise ال risk low بالتالي ال prediction تبعت هذه high تمام؟ هي المطلوب مني إن ال system", "tokens": [39237, 10943, 22807, 18863, 10943, 1211, 16712, 7649, 1829, 13672, 1829, 8978, 2423, 3148, 8717, 45367, 21136, 1829, 9640, 3660, 11933, 15730, 25961, 2655, 7282, 1032, 6156, 3224, 1829, 2423, 3148, 1090, 5911, 2423, 3148, 2295, 20666, 2655, 6027, 1829, 2423, 17630, 6055, 3555, 34268, 29538, 1090, 46811, 10943, 22807, 39896, 9673, 9566, 1211, 37746, 9154, 1829, 36145, 2423, 1185], "avg_logprob": -0.13550204820320255, "compression_ratio": 1.562874251497006, "no_speech_prob": 1.5497207641601562e-06, "words": [{"start": 3485.8599999999997, "end": 3486.7599999999998, "word": "تمام؟", "probability": 0.700439453125}, {"start": 3486.7599999999998, "end": 3487.66, "word": " العامل", "probability": 0.9791666666666666}, {"start": 3487.66, "end": 3488.2, "word": " التاني", "probability": 0.97607421875}, {"start": 3488.2, "end": 3488.34, "word": " اللي", "probability": 0.9326171875}, {"start": 3488.34, "end": 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high", "probability": 0.93115234375}, {"start": 3495.04, "end": 3496.1, "word": " otherwise", "probability": 0.7744140625}, {"start": 3496.1, "end": 3497.22, "word": " ال", "probability": 0.9443359375}, {"start": 3497.22, "end": 3497.46, "word": " risk", "probability": 0.9814453125}, {"start": 3497.46, "end": 3497.78, "word": " low", "probability": 0.966796875}, {"start": 3497.78, "end": 3498.62, "word": " بالتالي", "probability": 0.782501220703125}, {"start": 3498.62, "end": 3498.72, "word": " ال", "probability": 0.91015625}, {"start": 3498.72, "end": 3499.14, "word": " prediction", "probability": 0.974609375}, {"start": 3499.14, "end": 3499.58, "word": " تبعت", "probability": 0.9441731770833334}, {"start": 3499.58, "end": 3500.08, "word": " هذه", "probability": 0.90625}, {"start": 3500.08, "end": 3501.6, "word": " high", "probability": 0.904296875}, {"start": 3501.6, "end": 3505.54, "word": " تمام؟", "probability": 0.8849283854166666}, {"start": 3505.54, "end": 3505.76, "word": " 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0.932373046875}, {"start": 4580.24, "end": 4580.64, "word": " python", "probability": 0.33544921875}, {"start": 4580.64, "end": 4580.8, "word": " و", "probability": 0.48583984375}, {"start": 4580.8, "end": 4580.86, "word": " ال", "probability": 0.48046875}, {"start": 4580.86, "end": 4581.08, "word": " R", "probability": 0.517578125}, {"start": 4581.08, "end": 4581.2, "word": " و", "probability": 0.96630859375}, {"start": 4581.2, "end": 4581.28, "word": " ال", "probability": 0.57275390625}, {"start": 4581.28, "end": 4581.64, "word": " Java", "probability": 0.60546875}, {"start": 4581.64, "end": 4582.44, "word": " و", "probability": 0.93359375}, {"start": 4582.44, "end": 4582.72, "word": " software", "probability": 0.88232421875}, {"start": 4582.72, "end": 4583.1, "word": " packages", "probability": 0.88232421875}, {"start": 4583.1, "end": 4583.32, "word": " في", "probability": 0.485107421875}, {"start": 4583.32, "end": 4583.54, "word": " عندنا", "probability": 0.88720703125}, {"start": 4583.54, "end": 4583.58, "word": " ال", "probability": 0.69873046875}, {"start": 4583.58, "end": 4584.14, "word": " RapidMiner", "probability": 0.69775390625}, {"start": 4584.14, "end": 4584.28, "word": " و", "probability": 0.9638671875}, {"start": 4584.28, "end": 4584.38, "word": " ال", "probability": 0.8857421875}, {"start": 4584.38, "end": 4584.8, "word": " Weka", "probability": 0.4888916015625}, {"start": 4584.8, "end": 4585.54, "word": " و", "probability": 0.95849609375}, {"start": 4585.54, "end": 4585.66, "word": " ال", "probability": 0.8671875}, {"start": 4585.66, "end": 4586.06, "word": " Orange", "probability": 0.74609375}, {"start": 4586.06, "end": 4586.44, "word": " هذه", "probability": 0.49267578125}, {"start": 4586.44, "end": 4586.66, "word": " أساس", "probability": 0.5986735026041666}, {"start": 4586.66, "end": 4586.72, "word": " ال", "probability": 0.4658203125}, {"start": 4586.72, "end": 4586.96, "word": " software", "probability": 0.9248046875}, {"start": 4586.96, "end": 4587.28, "word": " package", "probability": 0.8486328125}, {"start": 4587.28, "end": 4587.54, "word": " احنا", "probability": 0.7915852864583334}, {"start": 4587.54, "end": 4587.96, "word": " بالنسبة", "probability": 0.9925537109375}, {"start": 4587.96, "end": 4588.22, "word": " لنا", "probability": 0.750244140625}], "temperature": 1.0}, {"id": 173, "seek": 460870, "start": 4589.78, "end": 4608.7, "text": "هنشتغل python و RapidMiner فبدي اياك نزل على جهازك الان نزل على جهازك RapidMiner point 9 RapidMiner studio و ال python بدي تنزللي ال spider Anaconda distribution", "tokens": [3224, 1863, 8592, 2655, 17082, 1211, 38797, 4032, 44580, 44, 4564, 6156, 3555, 16254, 1975, 25528, 4117, 8717, 11622, 1211, 15844, 10874, 3224, 31377, 4117, 2423, 7649, 8717, 11622, 1211, 15844, 10874, 3224, 31377, 4117, 44580, 44, 4564, 935, 1722, 44580, 44, 4564, 6811, 4032, 2423, 38797, 4724, 16254, 6055, 1863, 11622, 1211, 20292, 2423, 17614, 1107, 326, 12233, 7316], "avg_logprob": -0.2730532747800233, "compression_ratio": 1.469387755102041, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 4589.78, "end": 4590.34, "word": "هنشتغل", "probability": 0.8727213541666666}, {"start": 4590.34, "end": 4590.74, "word": " python", "probability": 0.2486572265625}, {"start": 4590.74, "end": 4592.26, "word": " و", "probability": 0.8994140625}, {"start": 4592.26, "end": 4592.82, "word": " RapidMiner", "probability": 0.6903483072916666}, {"start": 4592.82, "end": 4593.66, "word": " فبدي", "probability": 0.7626139322916666}, {"start": 4593.66, "end": 4593.94, "word": " اياك", "probability": 0.6454264322916666}, {"start": 4593.94, "end": 4594.32, "word": " نزل", "probability": 0.9295247395833334}, {"start": 4594.32, "end": 4594.5, "word": " على", "probability": 0.69921875}, {"start": 4594.5, "end": 4595.06, "word": " جهازك", "probability": 0.98974609375}, {"start": 4595.06, "end": 4595.44, "word": " الان", "probability": 0.58203125}, {"start": 4595.44, "end": 4596.02, "word": " نزل", "probability": 0.8733723958333334}, {"start": 4596.02, "end": 4596.18, "word": " على", "probability": 0.7119140625}, {"start": 4596.18, "end": 4596.88, "word": " جهازك", "probability": 0.989501953125}, {"start": 4596.88, "end": 4597.62, "word": " RapidMiner", "probability": 0.8790690104166666}, {"start": 4597.62, "end": 4597.92, "word": " point", "probability": 0.412109375}, {"start": 4597.92, "end": 4598.38, "word": " 9", "probability": 0.87841796875}, {"start": 4598.38, "end": 4600.0, "word": " RapidMiner", "probability": 0.9254557291666666}, {"start": 4600.0, "end": 4600.46, "word": " studio", "probability": 0.68603515625}, {"start": 4600.46, "end": 4601.04, "word": " و", "probability": 0.6787109375}, {"start": 4601.04, "end": 4601.16, "word": " ال", "probability": 0.6640625}, {"start": 4601.16, "end": 4601.44, "word": " python", "probability": 0.72265625}, {"start": 4601.44, "end": 4601.72, "word": " بدي", "probability": 0.6947021484375}, {"start": 4601.72, "end": 4602.28, "word": " تنزللي", "probability": 0.8150390625}, {"start": 4602.28, "end": 4602.42, "word": " ال", "probability": 0.59912109375}, {"start": 4602.42, "end": 4603.0, "word": " spider", "probability": 0.95703125}, {"start": 4603.0, "end": 4605.86, "word": " Anaconda", "probability": 0.7681477864583334}, {"start": 4605.86, "end": 4608.7, "word": " distribution", "probability": 0.765625}], "temperature": 1.0}, {"id": 174, "seek": 462639, "start": 4611.73, "end": 4626.39, "text": "ما هو عشان انا اريحك من تنزيل المكتبات هاي نزل الـ Spider Anaconda Distribution تبع الـ Python هذه فيها كل ال libraries اللي انت محتاجها، تمام؟ الله عطيكم العافية ونشوفكم ان شاء الله لمحاضرة الجاية", "tokens": [15042, 31439, 6225, 8592, 7649, 1975, 8315, 1975, 16572, 5016, 4117, 9154, 6055, 1863, 11622, 26895, 9673, 4117, 2655, 3555, 9307, 8032, 47302, 8717, 11622, 1211, 2423, 39184, 17733, 1107, 326, 12233, 9840, 30783, 6055, 3555, 3615, 2423, 39184, 15329, 29538, 8978, 11296, 28242, 2423, 15148, 13672, 1829, 16472, 2655, 3714, 33753, 26108, 11296, 12399, 46811, 10943, 22807, 21984, 6225, 9566, 1829, 24793, 18863, 31845, 10632, 4032, 1863, 8592, 38688, 24793, 16472, 13412, 16606, 21984, 32767, 5016, 46958, 25720, 25724, 995, 10632], "avg_logprob": -0.21987951448164791, "compression_ratio": 1.5047169811320755, "no_speech_prob": 5.364418029785156e-07, "words": [{"start": 4611.73, "end": 4611.97, "word": "ما", "probability": 0.798828125}, {"start": 4611.97, "end": 4612.07, "word": " هو", "probability": 0.9794921875}, {"start": 4612.07, "end": 4612.41, "word": " عشان", "probability": 0.9703776041666666}, {"start": 4612.41, "end": 4612.59, "word": " انا", "probability": 0.702392578125}, {"start": 4612.59, "end": 4613.29, "word": " اريحك", "probability": 0.8818359375}, {"start": 4613.29, "end": 4613.55, "word": " من", "probability": 0.9755859375}, {"start": 4613.55, "end": 4614.29, "word": " تنزيل", "probability": 0.9439697265625}, {"start": 4614.29, "end": 4614.85, "word": " المكتبات", "probability": 0.99345703125}, {"start": 4614.85, "end": 4615.15, "word": " هاي", "probability": 0.617919921875}, {"start": 4615.15, "end": 4615.85, "word": " نزل", "probability": 0.78173828125}, {"start": 4615.85, "end": 4616.05, "word": " الـ", "probability": 0.6363525390625}, {"start": 4616.05, "end": 4616.33, "word": " Spider", "probability": 0.302001953125}, {"start": 4616.33, "end": 4616.95, "word": " Anaconda", "probability": 0.9246419270833334}, {"start": 4616.95, "end": 4617.67, "word": " Distribution", "probability": 0.57476806640625}, {"start": 4617.67, "end": 4617.93, "word": " تبع", "probability": 0.79931640625}, {"start": 4617.93, "end": 4618.15, "word": " الـ", "probability": 0.63134765625}, {"start": 4618.15, "end": 4618.43, "word": " Python", "probability": 0.80078125}, {"start": 4618.43, "end": 4618.89, "word": " هذه", "probability": 0.50390625}, {"start": 4618.89, "end": 4619.17, "word": " فيها", "probability": 0.968994140625}, {"start": 4619.17, "end": 4619.45, "word": " كل", "probability": 0.9853515625}, {"start": 4619.45, "end": 4619.59, "word": " ال", "probability": 0.9296875}, {"start": 4619.59, "end": 4619.97, "word": " libraries", "probability": 0.92822265625}, {"start": 4619.97, "end": 4620.27, "word": " اللي", "probability": 0.976318359375}, {"start": 4620.27, "end": 4620.59, "word": " انت", "probability": 0.781494140625}, {"start": 4620.59, "end": 4622.23, "word": " محتاجها،", "probability": 0.87158203125}, {"start": 4622.23, "end": 4623.55, "word": " تمام؟", "probability": 0.8992513020833334}, {"start": 4623.55, "end": 4623.69, "word": " الله", "probability": 0.85107421875}, {"start": 4623.69, "end": 4623.87, "word": " عطيكم", "probability": 0.59271240234375}, {"start": 4623.87, "end": 4624.29, "word": " العافية", "probability": 0.9674479166666666}, {"start": 4624.29, "end": 4624.79, "word": " ونشوفكم", "probability": 0.86396484375}, {"start": 4624.79, "end": 4624.89, "word": " ان", "probability": 0.63916015625}, {"start": 4624.89, "end": 4625.01, "word": " شاء", "probability": 0.986572265625}, {"start": 4625.01, "end": 4625.07, "word": " الله", "probability": 0.95703125}, {"start": 4625.07, "end": 4625.73, "word": " لمحاضرة", "probability": 0.84130859375}, {"start": 4625.73, "end": 4626.39, "word": " الجاية", "probability": 0.8728841145833334}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 4626.576, "duration_after_vad": 4319.254375000003}
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg.srt
new file mode 100644
index 0000000000000000000000000000000000000000..7abba01f0e51eb83943e98594b993280fdedbee5
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg.srt
@@ -0,0 +1,1414 @@
+1
+00:00:03,310 --> 00:00:06,250
+السلام عليكم .. طبعا احنا أجلنا .. كنا وجدنا هنا
+
+2
+00:00:06,250 --> 00:00:09,790
+اللي في قطاعنا التسجيل لأنه تجاوز الـ 30 دقيقة و
+
+3
+00:00:09,790 --> 00:00:12,390
+ما قلناش يكون التسجيل كبير بالنسبة لكم أو وقت طويل
+
+4
+00:00:12,390 --> 00:00:16,610
+.. بترتبوا معرفتكم إن شاء الله تعالى، مع أن لو كان
+
+5
+00:00:16,610 --> 00:00:20,990
+متواصل ممكن يكون أفضل، مايُبقى عرفت الآن هنتكلم عن
+
+6
+00:00:20,990 --> 00:00:27,030
+الـ Appropriate Algorithm قلنا سابقا أن البحث عن
+
+7
+00:00:27,030 --> 00:00:30,510
+الـ association rules بيعتمد على شغلتين أساسيتين أو
+
+8
+00:00:30,510 --> 00:00:33,410
+خطوتين أساسيتين أي ألجوريثم مكوّن من خطوتين
+
+9
+00:00:33,410 --> 00:00:40,150
+الخطوة الأولى أنني فعليا أدور على كل frequent
+
+10
+00:00:40,150 --> 00:00:41,170
+item set
+
+11
+00:00:44,140 --> 00:00:46,780
+وطبعا عندما أتكلم على frequent يعني أنها تتجاوز الـ
+
+12
+00:00:46,780 --> 00:00:49,480
+minimum support اللي معروف عندها أو الـ
+
+13
+00:00:49,480 --> 00:00:53,340
+threshold الخاص به وبعدين أروح أعمل generate لـ
+
+14
+00:00:53,340 --> 00:00:57,140
+strong association rules بناء على الـ minimum أو الـ
+
+15
+00:00:57,140 --> 00:01:00,720
+frequent item sets اللي موجودة عندها وعندما أتكلم
+
+16
+00:01:00,720 --> 00:01:03,380
+على strong association rules يعني أن الـ rules يجب
+
+17
+00:01:03,380 --> 00:01:07,930
+أن يحققوا الـ minimum support والـ minimum confidence
+
+18
+00:01:07,930 --> 00:01:11,510
+condition هذا شرط الـ association rule القوي
+
+19
+00:01:11,510 --> 00:01:17,750
+الـ Apriori بيستخدم أو يستخدم من أجل الحصول على كل
+
+20
+00:01:17,750 --> 00:01:22,190
+frequent item set تمام it computes the frequent
+
+21
+00:01:22,190 --> 00:01:25,430
+item set in a data set through several iterations
+
+22
+00:01:25,430 --> 00:01:31,830
+من خلال دورات متعددة بيصل إلى  case iteration
+
+23
+00:01:31,830 --> 00:01:40,050
+compute all the frequent item sets الآن يا جماعة
+
+24
+00:01:40,050 --> 00:01:43,970
+الخير احنا متفقين أن الـ data set أو الـ attributes
+
+25
+00:01:43,970 --> 00:01:47,370
+أو الـ transactional data set اللي أنا بدي اشتغل
+
+26
+00:01:47,370 --> 00:01:54,470
+عليها مكونة من elements اللي هو عددهم M من
+
+27
+00:01:54,470 --> 00:01:59,950
+I واحد زي ما قلنا إلى I M items فهي M من الـ items
+
+28
+00:01:59,950 --> 00:02:05,250
+معناته الـ K تبعته تتراوح من الـ 1 to M هذه
+
+29
+00:02:05,250 --> 00:02:09,070
+المجموعات اللي موجودة عندي وبالتالي هي عبارة عن عدد
+
+30
+00:02:09,070 --> 00:02:12,930
+الـ iterations بعدد الـ elements اللي موجودة عندي أو
+
+31
+00:02:12,930 --> 00:02:16,010
+عفوا بعدد الـ items اللي موجودة عندي في الـ data set
+
+32
+00:02:16,010 --> 00:02:20,330
+اللي موجودة هنا Each iteration has two steps
+
+33
+00:02:20,330 --> 00:02:24,670
+Candidate generation بتحدد الـ candidates و بعدين
+
+34
+00:02:24,670 --> 00:02:27,810
+الـ candidates counting and selection بتأخذ الـ
+
+35
+00:02:27,810 --> 00:02:31,090
+candidate اللي هو المرشح الـ element المرشح أو الـ
+
+36
+00:02:31,090 --> 00:02:35,690
+item المرشحة وبتروح بتعدها تمام وبناء على العدد
+
+37
+00:02:35,690 --> 00:02:40,890
+بتختارها أو ما بتختارهاش في
+
+38
+00:02:40,890 --> 00:02:43,010
+المثال اللي موجود عندنا هنا جماعة الخير
+
+39
+00:02:46,520 --> 00:02:51,000
+أنا بأتكلم على الـ minimum support with count equal
+
+40
+00:02:51,000 --> 00:02:54,800
+to with count equal to الـ minimum support with
+
+41
+00:02:54,800 --> 00:02:59,400
+count equal to with count equal to with count
+
+42
+00:02:59,400 --> 00:02:59,600
+equal to with count equal to with count equal to
+
+43
+00:02:59,600 --> 00:03:00,800
+with count equal to with count equal to with count
+
+44
+00:03:00,800 --> 00:03:01,380
+equal to with count equal to with count equal to
+
+45
+00:03:01,380 --> 00:03:01,720
+with count equal to with count equal to with count
+
+46
+00:03:01,720 --> 00:03:03,220
+equal to with count equal to with count equal to
+
+47
+00:03:03,220 --> 00:03:04,120
+with count equal to with count equal to with count
+
+48
+00:03:04,120 --> 00:03:04,780
+equal to with count equal to with count equal to
+
+49
+00:03:04,780 --> 00:03:05,920
+with count equal to with count equal to with count
+
+50
+00:03:05,920 --> 00:03:08,320
+equal to with count equal to with count equal to
+
+51
+00:03:08,320 --> 00:03:14,250
+with count الـ data set تبعتي في الهام لكن لو أنا
+
+52
+00:03:14,250 --> 00:03:17,610
+أتيت وتطلعت في الـ database أو الـ data sets اللي
+
+53
+00:03:17,610 --> 00:03:23,710
+موجودة عندي أقصى شغلة عندي خمس elements أو أربع
+
+54
+00:03:23,710 --> 00:03:29,830
+items موجودين في كل transaction هذا يجعلني أتوقف
+
+55
+00:03:29,830 --> 00:03:36,030
+مبكرا لأنه لن يكون لدي أي item set في الـ database
+
+56
+00:03:36,030 --> 00:03:40,350
+الموجودة فيها خمس عناصر وبالتالي لا يوجد لدي أي
+
+57
+00:03:40,350 --> 00:03:44,890
+rules تحتوي على خمس عناصر هكذا يبدو بالنسبة لنا
+
+58
+00:03:44,890 --> 00:03:49,190
+تمام، دعنا نرى ماذا سيحدث الآن
+
+59
+00:03:58,360 --> 00:04:04,340
+ماشي الحال خلّيني أنا أوقف التسجيل للحظة عشان أعدّل
+
+60
+00:04:04,340 --> 00:04:08,300
+شغلة في الـ slide هذه في طريقة عرض الـ slide ممكن
+
+61
+00:04:08,300 --> 00:04:23,640
+تكون أريح لنا في الفهم طيب
+
+62
+00:04:23,640 --> 00:04:26,200
+جماعة الخير أرجو المثال نعرضه بشكل أفضل إن شاء
+
+63
+00:04:26,200 --> 00:04:31,930
+الله تعالى الآن كما قلنا سابقا أن الـ algorithm كله
+
+64
+00:04:31,930 --> 00:04:35,470
+يبحث عن الـ item frequent set في الأول وبعدين
+
+65
+00:04:35,470 --> 00:04:39,490
+بيعمل generate وقلنا أن الـ Apriori هنا في كل
+
+66
+00:04:39,490 --> 00:04:43,230
+step في كل iteration بيشتغل يروح بيساوي بيعمل
+
+67
+00:04:43,230 --> 00:04:44,590
+generate لـ
+
+68
+00:04:47,090 --> 00:04:50,450
+للـ group بالـ candidates وبعدين بيعدّوا الـ
+
+69
+00:04:50,450 --> 00:04:53,550
+elements تبعته وبعدين بيعملوا منه selection فإحنا
+
+70
+00:04:53,550 --> 00:04:56,630
+الآن هذا مع الـ algorithm اللي حاسبينه الآن معناته
+
+71
+00:04:56,630 --> 00:05:02,930
+أبدأ أنا مع شغل بسميها C1 C1 هي عبارة عن الـ
+
+72
+00:05:02,930 --> 00:05:10,210
+candidates of item set with one element اللي هم I1
+
+73
+00:05:10,210 --> 00:05:15,770
+I2 I3 I4
+
+74
+00:05:17,700 --> 00:05:21,560
+I5 مش هم الـ elements اللي عندي هي هم خمسة هؤلاء و
+
+75
+00:05:21,560 --> 00:05:27,840
+بدي أروح أحسب الـ support لكل واحدة فيهم نيجي للـ I1
+
+76
+00:05:27,840 --> 00:05:31,300
+طبعا أنا الآن هيك المفروض أنا أساوي أرسم رسمة زي
+
+77
+00:05:31,300 --> 00:05:36,260
+هذه أقول هي C1 الـ candidates تبعتي بنعمل لهم
+
+78
+00:05:36,260 --> 00:05:44,380
+generation generate الآن I1 I2
+
+79
+00:05:49,900 --> 00:05:57,880
+I3 I4 I5 الخطوة اللي بعد هيك أنا بدي أروح أحسب لهم
+
+80
+00:05:57,880 --> 00:06:03,080
+جماعة الخير الـ support لما أنا بدي أحسب الـ support
+
+81
+00:06:03,080 --> 00:06:09,900
+للـ C2 للـ C1 يعني ما زلت candidate واحد الآن I1
+
+82
+00:06:09,900 --> 00:06:14,460
+جديش هي واحد تلاتة
+
+83
+00:06:14,460 --> 00:06:21,050
+أربعة خمسة ستة أقدر أكتبهم مع بعض أنا هاي ستة
+
+84
+00:06:21,050 --> 00:06:26,490
+support لأن
+
+85
+00:06:26,490 --> 00:06:34,930
+الخطوة الثانية هي عبارة عن هاي I1 equal 6 I2 واحد
+
+86
+00:06:34,930 --> 00:06:45,510
+اثنين تلاتة أربعة خمسة ستة سبعة I2 equal 7 I3
+
+87
+00:06:48,370 --> 00:06:55,430
+1,2,3,4,5,6 I4
+
+88
+00:06:55,430 --> 00:07:09,550
+1,2,3,4,5,6 I5 1,2,3,4,5,6 I5 I5 I5
+
+89
+00:07:09,550 --> 00:07:12,590
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+90
+00:07:12,590 --> 00:07:12,790
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+91
+00:07:17,500 --> 00:07:27,780
+I1 I2 I3 I4 I5 I5
+
+92
+00:07:27,780 --> 00:07:27,800
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+93
+00:07:27,800 --> 00:07:28,640
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+94
+00:07:28,640 --> 00:07:28,700
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+95
+00:07:28,700 --> 00:07:36,340
+I5 I5 I5 I5 الخطوة الأولى رحت عملت لهم generation و
+
+96
+00:07:36,340 --> 00:07:40,740
+حسبت الـ candidate وهي رحت أخذتهم لأن الـ minimum
+
+97
+00:07:40,740 --> 00:07:45,240
+support بتحقق الـ minimum support اللي موجودة عندي
+
+98
+00:07:45,240 --> 00:07:49,860
+تمام الخطوة التالية أنا الآن خلصت من الـ candidate
+
+99
+00:07:49,860 --> 00:07:54,180
+C1 أبدأ أروح أعمل candidate من C2 ولازم تكون الـ
+
+100
+00:07:54,180 --> 00:08:00,940
+element هذا موجود عندي يعني أنا أبدأ أقول I1 I2
+
+101
+00:08:02,300 --> 00:08:09,700
+لازم يكون موجود في الـ database I1 I3
+
+102
+00:08:09,700 --> 00:08:23,920
+I1 I4 I1 I5 هذه إيش هذه الـ candidates of C2 لأن هم
+
+103
+00:08:23,920 --> 00:08:29,460
+مجموعات من اثنين بعد هيك أبدأ بـ I2 أكتب I1 لـ
+
+104
+00:08:29,460 --> 00:08:36,720
+already هي موجودة عندي أنا كتبتها I2 و I3 I3 I2 و
+
+105
+00:08:36,720 --> 00:08:53,680
+I4 I2 و I5 as groups بعد هي I3 و I4 I3
+
+106
+00:08:53,680 --> 00:08:55,020
+و I5
+
+107
+00:08:58,450 --> 00:09:06,210
+وبعد هي I4 و I5 وهيك أنا بأضمن أن أنا جبت كل الـ
+
+108
+00:09:06,210 --> 00:09:11,370
+items اللي شغالة اللي موجودة بالـ element 2 ليش في
+
+109
+00:09:11,370 --> 00:09:17,150
+جامعة الخير أنا ما رحتش كتابة I2 و I1 كمان مرة لأن
+
+110
+00:09:17,150 --> 00:09:20,870
+حسب المجموعات أو ما درسنا من discrete mathematics
+
+111
+00:09:20,870 --> 00:09:26,810
+أنه فعليا ترتيب العناصر كمجموعة A و B
+
+112
+00:09:32,860 --> 00:09:35,720
+بالتالي ترتيب العناصر في المجموع لا يعني شيء و
+
+113
+00:09:35,720 --> 00:09:39,200
+تكرار العنصر في المجموع لا يعني شيء فأنا ضمانة هيك
+
+114
+00:09:39,200 --> 00:09:42,800
+بأضمن أن أنا جبت كل الـ elements وما فوتش ولا واحد
+
+115
+00:09:42,800 --> 00:09:46,440
+منهم وبنفس الكلام بروح بحسب الـ support لكل واحد
+
+116
+00:09:46,440 --> 00:09:51,950
+فيهم أي واحد مع اثنين مع اثنين مع اثنين مع اثنين
+
+117
+00:09:51,950 --> 00:10:00,630
+مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين مع
+
+118
+00:10:00,630 --> 00:10:03,050
+اثنين مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين
+
+119
+00:10:03,050 --> 00:10:03,210
+مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين مع
+
+120
+00:10:03,210 --> 00:10:03,730
+اثنين مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين
+
+121
+00:10:03,730 --> 00:10:05,750
+مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين مع
+
+122
+00:10:05,750 --> 00:10:09,490
+مع اثنين مع اثنين مع اثنين مع اثنين مع اثنين
+
+123
+00:10:09,490 --> 00:10:15,050
+مع اثنين مع اثنين تحتوي فقط على العناصر اللي الـ
+
+124
+00:10:15,050 --> 00:10:18,710
+support تبعتها أكبر من اثنين وبالتالي هي صغّرت
+
+125
+00:10:18,710 --> 00:10:24,510
+المجموعة طيب الخطوة اللي بعد هيك بروح أنشئ أنا كل
+
+126
+00:10:24,510 --> 00:10:28,770
+المجموعات اللي مبنية على تلات عناصر كل المجموعات
+
+127
+00:10:28,770 --> 00:10:32,910
+اللي مبنية على تلات عناصر من أين؟ من خلال الـ data
+
+128
+00:10:32,910 --> 00:10:38,920
+set اللي موجودة عندها طيب سؤال مهم جدا I1 I2 I3 I4
+
+129
+00:10:38,920 --> 00:10:42,260
+I5 لو افترضنا أنه في عنده I6 وهي مش مبينة أروح
+
+130
+00:10:42,260 --> 00:10:45,460
+أستخدمها لأ ليش؟ لأن هو كل الـ subset لازم يكون
+
+131
+00:10:45,460 --> 00:10:49,380
+frequent وبما أنه I6 مش في الحسبة ما هي مرض فأنا
+
+132
+00:10:49,380 --> 00:10:53,120
+بأبدأ أجيب الـ item تلاتة اللي من تلات عناصر جديش هم
+
+133
+00:10:53,120 --> 00:10:57,540
+جامعة الخيار هيكونوا خلّيني بس أنا أرجع للخطوة هاي
+
+134
+00:10:57,540 --> 00:11:05,740
+من تلات عناصر في عندي I1 I2 I3
+
+135
+00:11:07,470 --> 00:11:19,790
+مع I1 و I2 و I4 I1 و I2 و I5 هؤلاء يا جماعة الخير
+
+136
+00:11:19,790 --> 00:11:28,130
+مين فيهم ينتمي للـ data set هذه هي في أول سطر و I2
+
+137
+00:11:28,130 --> 00:11:38,670
+و I4 وهذه ينتمي لأول سطر I1, I2 و I3 كانت تتم
+
+138
+00:11:38,670 --> 00:11:44,250
+الأول سطر إلى آخر سطر طيب الآن لو أنا رحت وقلت I2
+
+139
+00:11:44,250 --> 00:11:52,450
+I3 I4 لها
+
+140
+00:11:52,450 --> 00:11:59,230
+وجود في الـ data set اللي موجود عندي مالهاش وجود
+
+141
+00:12:03,300 --> 00:12:11,400
+I2 I3 I5 I5
+
+142
+00:12:11,400 --> 00:12:11,620
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+143
+00:12:11,620 --> 00:12:11,820
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+144
+00:12:11,820 --> 00:12:12,160
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+145
+00:12:12,160 --> 00:12:13,320
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+146
+00:12:43,780 --> 00:12:46,920
+طيب جماعة الخير الآن بدنا نأخذ اللي نعمل candidate
+
+147
+00:12:46,920 --> 00:12:53,300
+لـ الـ C3  الآن بتكلم على C3 إيش أنا بتكلم .. إيش
+
+148
+00:12:53,300 --> 00:12:55,760
+.. إيش صفات المجموعات هاي؟ هي عبارة عن كل
+
+149
+00:12:55,760 --> 00:12:58,960
+المجموعات اللي فيها تلات عناصر بس بشرط أن الـ
+
+150
+00:12:58,960 --> 00:13:02,720
+element تبعتهم يكون frequent item frequent item
+
+151
+00:13:02,720 --> 00:13:07,540
+ممتاز طيب الآن أنا أبدأ أقول على سبيل المثال أبدأ
+
+152
+00:13:07,540 --> 00:13:09,440
+أبدأ أصنف I1
+
+153
+00:13:11,420 --> 00:13:18,940
+و I2 و I3 لأن هذه المجموعة عشان أنا آخذها لازم
+
+154
+00:13:18,940 --> 00:13:25,500
+لازم لازم الـ I1 و I2 و I3 تكون frequent يعني كل
+
+155
+00:13:25,500 --> 00:13:29,640
+subset منها تكون frequent يعني I1 و I2 مع بعض و I2
+
+156
+00:13:29,640 --> 00:13:36,420
+و I3 و I1 و I3 مع بعض لأن عفوا لما أنا بدي آجي
+
+157
+00:13:36,420 --> 00:13:41,560
+أطلع لهؤلاء مع بعض هل هؤلاء frequent I1 و I2 عادية
+
+158
+00:13:41,560 --> 00:13:51,160
+I1 و I3 عادية I2 و I3 عادية I1 و
+
+159
+00:13:51,160 --> 00:13:55,020
+I4 عادية
+
+160
+00:13:55,020 --> 00:13:59,940
+I1 و I2 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+161
+00:13:59,940 --> 00:14:04,260
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+162
+00:14:04,260 --> 00:14:09,300
+و I4 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+163
+00:14:09,300 --> 00:14:09,460
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+164
+00:14:09,460 --> 00:14:09,480
+و I4 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+165
+00:14:09,480 --> 00:14:09,500
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+166
+00:14:09,500 --> 00:14:13,870
+و I4 عادية I1 و I4 عادية I1 و I4 عادية I5 I1 I2
+
+167
+00:14:13,870 --> 00:14:17,930
+frequent I1 I5 I1 I5 هي الموجودة بيبقى الـ 2 و 5
+
+168
+00:14:17,930 --> 00:14:21,550
+I2 I5 frequent معناته okay accepted نيجي للي
+
+169
+00:14:21,550 --> 00:14:27,130
+بعديها I2
+
+170
+00:14:27,130 --> 00:14:34,530
+I3 I4 I2
+
+171
+00:14:34,530 --> 00:14:36,650
+I4 not frequent بتسقط
+
+172
+00:14:39,050 --> 00:14:46,530
+I2 I3 I5 I3
+
+173
+00:14:46,530 --> 00:14:52,830
+و I5 ليسوا مستخدمين I2 و I5 مستخدمين I3 و I5 ليسوا
+
+174
+00:14:52,830 --> 00:14:57,490
+مستخدمين I3
+
+175
+00:14:57,490 --> 00:15:00,430
+I4
+
+223
+00:18:44,110 --> 00:18:47,810
+اللي
+
+224
+00:18:47,810 --> 00:18:53,570
+موجودة عندي اللي هي بلات حقق من ما بصبر  ال
+
+225
+00:18:53,570 --> 00:18:55,730
+pseudocode بياخد ck
+
+226
+00:18:58,390 --> 00:19:03,490
+K item set frequent item set اللي هي ال list اللي
+
+227
+00:19:03,490 --> 00:19:06,830
+موجودة عندي list of frequent item set او size K
+
+228
+00:19:06,830 --> 00:19:15,150
+بيبدأ من L1 for K equal 1 ال K لا تساوي 5 K plus
+
+229
+00:19:15,150 --> 00:19:21,950
+plus begin ال candidate CK زائد واحد candidate
+
+230
+00:19:21,950 --> 00:19:27,060
+generate ال K طبعا أنا أنا زي ما أقول من هنا أنا
+
+231
+00:19:27,060 --> 00:19:29,840
+بحب أعمل generate for each transaction  تيه ال
+
+232
+00:19:29,840 --> 00:19:33,480
+database database to increment the count of
+
+233
+00:19:33,480 --> 00:19:36,840
+candidates اللي أنا هدول ال candidates هدول أنا
+
+234
+00:19:36,840 --> 00:19:43,020
+بحسب ال minimum support و ال candidates with ال
+
+235
+00:19:43,020 --> 00:19:46,280
+minimum support اللي موجودين عندها و بنتهيأ لحق و
+
+236
+00:19:46,280 --> 00:19:50,020
+في الآخر إيش بروح بيساوي بيعمل union ل ال case
+
+237
+00:19:50,020 --> 00:19:54,660
+اللي موجودة يعني طبعا يا جماعة الخير لازم احنا
+
+238
+00:19:54,660 --> 00:19:59,300
+نؤكد على نقطة مهمة جدا أن ال .. طبعا ال code او
+
+239
+00:19:59,300 --> 00:20:02,480
+حفظ ال code هذا مش .. مش مطلوب أن بقدر ما أنا
+
+240
+00:20:02,480 --> 00:20:06,960
+مطلوب أن أنا فهمته من خلال الخطوات وهي ال .. ال بي
+
+241
+00:20:06,960 --> 00:20:13,880
+سيدو code اللي موجود عندي كذلك ال .. ماما صلي علي
+
+242
+00:20:13,880 --> 00:20:18,760
+سيدنا محمد .. مش .. لازم أبدأ أؤكد على نقطة هنا أن
+
+243
+00:20:18,760 --> 00:20:19,900
+أنا فعليا
+
+244
+00:20:22,210 --> 00:20:25,910
+حصولي على ال frequent item set لا يعني حصولي على
+
+245
+00:20:25,910 --> 00:20:28,570
+ال association rules أنا في الآخر اللي وصلت
+
+246
+00:20:28,570 --> 00:20:33,050
+هنا ووصلت هايه ال frequent item set اللي موجودة من
+
+247
+00:20:33,050 --> 00:20:38,170
+عندي ال تلاتة الخطوة اللي بعد هيك اللي بعد هيك أن
+
+248
+00:20:38,170 --> 00:20:43,930
+أنا بدي أروح أنشئ
+
+249
+00:20:43,930 --> 00:20:47,790
+frequent item set بدي أروح أنشئ association rules
+
+250
+00:20:48,800 --> 00:20:51,100
+معناته أن أنا لازم أن أنا عندي خطوة أن أروح أنشئ ال
+
+251
+00:20:51,100 --> 00:20:55,280
+association ال implication هذا كيف أحصل عليها for
+
+252
+00:20:55,280 --> 00:20:59,820
+each frequent item set لكل مجموعة من ال item set
+
+253
+00:20:59,820 --> 00:21:07,540
+اللي حصلتها for each non-proper non-empty set A
+
+254
+00:21:07,540 --> 00:21:13,820
+المفروض أن ال B تكون من المكملات ال X والتقاطع
+
+255
+00:21:13,820 --> 00:21:17,460
+بينهم Phi بين ال A وال B ال association rule بده
+
+256
+00:21:17,460 --> 00:21:19,680
+ينبنى بالشكل هذا
+
+257
+00:21:22,060 --> 00:21:28,180
+طيب الآن أنا جئت هنا هذه العناصر اللي موجودة عندي
+
+258
+00:21:28,180 --> 00:21:34,280
+أنا مين إيش اللي عندي العناصر I1
+
+259
+00:21:34,280 --> 00:21:43,560
+I2 I3 I5 هدولة هم ال frequent items I4 مش frequent
+
+260
+00:21:43,560 --> 00:21:47,180
+وبالتالي هيسقط من كل حساب تماما طيب إيش اللي أنا
+
+261
+00:21:47,180 --> 00:22:01,510
+باجي أقول I1 ل I2 هكذا اللي بده يصير I1 إلى I3 I1
+
+262
+00:22:01,510 --> 00:22:13,730
+I5 بعد هيك I1 إلى I2 و I3 مع بعض هذه كل الـ
+
+263
+00:22:13,730 --> 00:22:16,690
+association rules اللي ممكن تكون عندي هنا ارتباط
+
+264
+00:22:16,690 --> 00:22:23,750
+عنصر مع مجموعة أو مع مجموعة مع عنصر و هنا ببدأ إيه
+
+265
+00:22:23,750 --> 00:22:32,290
+و بروح بقى أحسب أنا لكل واحدة فيهم جداش ال support
+
+266
+00:22:32,290 --> 00:22:36,490
+و ال .. طيب خلينا نشوف المثال اللي موجود عندنا هنا
+
+267
+00:22:37,740 --> 00:22:42,080
+لما أنا بنقول هاي ال item set اللي موجودة عندي في
+
+268
+00:22:42,080 --> 00:22:46,000
+ال data set ده افترض أن هاي كل items اللي عندي
+
+269
+00:22:46,000 --> 00:22:48,740
+هنا frequent لأنه فعليا واحد و اتنين و تلاتة
+
+270
+00:22:48,740 --> 00:22:52,960
+عبارة عن frequent items و هم صفوا معايا للاخر فأي
+
+271
+00:22:52,960 --> 00:22:56,400
+subset هتكون موجودة لو أنا افترضت أن هدولة كلهم
+
+272
+00:22:56,400 --> 00:22:58,800
+بيحققوا ال minimum support دلوقت دوري أفحص ال
+
+273
+00:22:58,800 --> 00:23:04,860
+confidenceالترانزكشن الأول قيمته كم يا شباب ال
+
+274
+00:23:04,860 --> 00:23:12,740
+confidence تبعته احنا قلنا الواحد اتنين
+
+275
+00:23:12,740 --> 00:23:18,980
+تلاتة أربعة هذه قيمة ال support تبعت ال a و ال b
+
+276
+00:23:20,300 --> 00:23:25,820
+أربعة على تسعة، لا أريد أن أكتب التسعة وهنا على
+
+277
+00:23:25,820 --> 00:23:30,340
+الواحد، واحد اتنين تلاتة أربعة خمسة ستة أربعة على
+
+278
+00:23:30,340 --> 00:23:35,540
+ستة أربعة على ستة تجاوزت الخمسة و الخمسين في
+
+279
+00:23:35,540 --> 00:23:40,660
+المئة معناته هذا ال rule عبارة عن strong rule أخد
+
+280
+00:23:40,660 --> 00:23:47,980
+على سبيل المثال ال rule الموجود عندها أو أي واحد أو
+
+281
+00:23:47,980 --> 00:23:52,120
+أي اتنين أو أي تلاتة ك support هي واحد هي اتنين
+
+282
+00:23:52,120 --> 00:24:00,100
+ممتاز اتنين على ال frequent التابعة للاتنين واحدة
+
+283
+00:24:00,100 --> 00:24:06,160
+اتنين تلاتة أربعة خمسة ستة سبعة اتنين على سبعة is
+
+284
+00:24:06,160 --> 00:24:08,020
+not a strong rule وهكذا
+
+285
+00:24:14,930 --> 00:24:17,730
+هو بتتم الحسبة معايا في كل ال rules اللي موجودة
+
+286
+00:24:17,730 --> 00:24:21,530
+عندي هنا و أنا بقرر بناء عليه كذلك لو أنا افترضت أن
+
+287
+00:24:21,530 --> 00:24:26,410
+هي عندي هنا مجموعة من ال rules ال minimum support
+
+288
+00:24:26,410 --> 00:24:30,350
+تبعيتي اتنين و في عندي ال minimum confidence خمسين
+
+289
+00:24:30,350 --> 00:24:33,350
+في المئة وبدأ أعمل نفس الحسبة و أشوف اللي ال
+
+290
+00:24:33,350 --> 00:24:39,330
+transaction هذا مين فيهم strong و مين فيهم منحقق
+
+291
+00:24:39,330 --> 00:24:44,070
+ال minimum support يعني مين منهم strong و مين لأ الـ
+
+292
+00:24:44,070 --> 00:24:48,710
+mean هذا ال support تبع هذا الأول واحد اتنين
+
+293
+00:24:48,710 --> 00:24:57,090
+تلاتة هي واحد اتنين اتنين على a و b واحد اتنين
+
+294
+00:24:57,090 --> 00:25:02,690
+تلاتة أربعة أربعة خمسين في المئة okay accepted
+
+295
+00:25:02,690 --> 00:25:11,250
+نأخذ هذا على سبيل المثال برضه نفس الكلام اتنين على
+
+296
+00:25:11,250 --> 00:25:16,630
+ال a الاتنين واحد اتنين اتنين على اتنين معناته مئة في
+
+297
+00:25:16,630 --> 00:25:21,530
+المئة هنا كان خمسين في المئة خمسين في المئة هنا
+
+298
+00:25:21,530 --> 00:25:27,610
+مئة في المئة فهو accepted تمام بينما نأخذ على سبيل
+
+299
+00:25:27,610 --> 00:25:38,670
+المثال هذا ٢ على ال بيز ١ ٢ ٣ ٤ ٥ ٦ ٧ ٢ على ٧ أقل
+
+300
+00:25:38,670 --> 00:25:44,150
+من ٥٠٪ rejected وبالتالي أنا عندي هاي مجموعة ال
+
+301
+00:25:44,150 --> 00:25:47,410
+confidence أنا حسبتهم بالشكل هذا لكل واحد فيهم
+
+302
+00:25:47,410 --> 00:25:54,850
+وبالتالي بقدر أقول أن هدول qualified بينما
+
+303
+00:25:54,850 --> 00:26:00,400
+هدول not qualified roles يعني هدول رول قوية ممكن
+
+304
+00:26:00,400 --> 00:26:05,720
+أعتمد عليها بينما هذه ليست قوية طبعا هذا كله
+
+305
+00:26:05,720 --> 00:26:10,080
+بتنبع من حساب ال association rules طيب نفس الكلام
+
+306
+00:26:10,080 --> 00:26:13,060
+لو أنا بدي أشتغل .. بتشوف .. بنشوف المثال هذا
+
+307
+00:26:13,060 --> 00:26:17,840
+لوحدكم عشان أحاول أكسب من الوقت الفكرة فيه بقول لك
+
+308
+00:26:17,840 --> 00:26:21,520
+أن أنا في عندي مجموعة هي عبارة عن frequent هذه
+
+309
+00:26:21,520 --> 00:26:26,240
+المجموعة frequent و ال support with support خمسين
+
+310
+00:26:26,240 --> 00:26:31,240
+في المئة تمام؟ لأن في الآخر عدد بيجي بعد خير ال
+
+311
+00:26:31,240 --> 00:26:33,700
+program empty subset هدولة ال subset وهي ال
+
+312
+00:26:33,700 --> 00:26:38,340
+support تبع كل واحدة فيهم الآن بيقول لك find the
+
+313
+00:26:38,340 --> 00:26:42,680
+confidence of ال rule هذا الآن ال rules اللي موجودة
+
+314
+00:26:42,680 --> 00:26:45,240
+عندي هنا هي عبارة عن ال support تبعته كده يا جماعة
+
+315
+00:26:45,240 --> 00:26:48,740
+الخير واحد اتنين تلاتة احنا قلنا أي subset منها
+
+316
+00:26:48,740 --> 00:26:51,660
+هي عبارة عن subset هتكون frequent أي بما أن هذا
+
+317
+00:26:51,660 --> 00:26:54,880
+frequent ف أي subset هتكون frequent ممتاز طب ال
+
+318
+00:26:54,880 --> 00:26:59,200
+frequent اللي عندي هنا عبارة عن كده عبارة عن خمسين
+
+319
+00:26:59,200 --> 00:27:03,100
+صح ال support تبعته خمسين هي خمسين في المئة أقول لك
+
+320
+00:27:03,100 --> 00:27:06,260
+طيب
+
+321
+00:27:06,260 --> 00:27:10,470
+معناته هي خمسين في المئة اللي هم الـ A اتنين و
+
+322
+00:27:10,470 --> 00:27:13,490
+تلاتة و أربعة مع بعض على اتنين و تلاتة الاتنين و
+
+323
+00:27:13,490 --> 00:27:18,830
+التلاتة هي ال support تبعتهم جداش هيها خمسين في
+
+324
+00:27:18,830 --> 00:27:23,410
+المئة خمسين في المئة على خمسين في المئة معناته مئة
+
+325
+00:27:23,410 --> 00:27:26,790
+في المئة صح؟ وبالتالي هي حساب ال confidence
+
+326
+00:27:26,790 --> 00:27:31,610
+الموجودة و كملوا الباقي لأن المثال بسيط مش محتاج ال
+
+327
+00:27:31,610 --> 00:27:35,610
+a priori drawbacks اللي في عندها ال major drawbacks
+
+328
+00:27:35,610 --> 00:27:41,470
+في ال a priori بحتاج ال computational عالي طبعا
+
+329
+00:27:41,470 --> 00:27:44,790
+لأنه أنا في عندي multiple scan لل data set بضلني
+
+330
+00:27:44,790 --> 00:27:50,150
+أرجع لل data set عشان دائما أفحص أعدل ال support
+
+331
+00:27:50,150 --> 00:27:53,330
+المعنى هو أن أنا في عندي huge number of candidates
+
+332
+00:27:53,330 --> 00:28:01,990
+كذلك لازم تزيد workload العمل ممل لأنه دائما بده
+
+333
+00:28:01,990 --> 00:28:06,310
+يعد ال support مرة و اتنين و تلاتة أو عشرة للموجود
+
+334
+00:28:06,310 --> 00:28:13,630
+كيف ممكن احنا نحسن من أداء الـ .. من
+
+335
+00:28:13,630 --> 00:28:19,290
+أداء الـ priority improving بشكل عام لو أنا قللت
+
+336
+00:28:19,290 --> 00:28:26,350
+عدد المرات للـ scanning تبع ال database أحس أن أجزم
+
+337
+00:28:26,350 --> 00:28:33,510
+ال database لـ 2 partitions على سبيل المثال أشتغل
+
+338
+00:28:33,510 --> 00:28:38,090
+مع ال partitions من الاتنين اللي موجودين عندها أقل
+
+339
+00:28:38,090 --> 00:28:43,170
+العدد ال candidates اللي موجودين عندي
+
+340
+00:28:45,440 --> 00:28:49,160
+Facilitate support counting of candidates أن كيف
+
+341
+00:28:49,160 --> 00:28:54,160
+ممكن أحسن أو أشوف طريقة أحفظ فيها العدد تبع ال
+
+342
+00:28:54,160 --> 00:29:00,080
+candidates أو أروح أستخدم تقنية تسرع من العملية
+
+343
+00:29:00,080 --> 00:29:04,860
+كلها و باعتماد على سبيل المثال على ال processing أو
+
+344
+00:29:04,860 --> 00:29:05,920
+ال parallel computing
+
+345
+00:29:09,970 --> 00:29:14,350
+لو أنا اللي بدي أجزم ال database تبعيتي لـ two
+
+346
+00:29:14,350 --> 00:29:20,070
+partitions و أمر عليهم فقط مرتين فقط مرتين an item
+
+347
+00:29:20,070 --> 00:29:24,390
+set that potentially frequent in the database must
+
+348
+00:29:24,390 --> 00:29:28,450
+frequent at least one of the partitions يعني إذا
+
+349
+00:29:28,450 --> 00:29:31,390
+جاءك الله إذا أنا بأجزم ال database تبعيتي لـ two
+
+350
+00:29:31,390 --> 00:29:36,750
+partitions و بمرها ال frequent اللي هنا هي
+
+351
+00:29:36,750 --> 00:29:37,450
+frequent هنا
+
+352
+00:29:43,250 --> 00:29:50,150
+هذا مبدأه في الحسبة اللي موجودة عندها ال any items
+
+353
+00:29:50,150 --> 00:29:54,590
+that potentially frequent in database عفوا ال
+
+354
+00:29:54,590 --> 00:29:57,010
+frequently في ال database فهي هتكون frequent في
+
+355
+00:29:57,010 --> 00:30:02,110
+واحدة منهم وبالتالي
+
+356
+00:30:02,110 --> 00:30:06,490
+خلاص أنا يعني مروري لأول لأول مرة أنا مريت عشان
+
+357
+00:30:06,490 --> 00:30:09,090
+أتعرف على ال frequent items فهيكون عندي دائما
+
+358
+00:30:09,090 --> 00:30:13,650
+frequent itemsالخطوة الأولي هي partition the
+
+359
+00:30:13,650 --> 00:30:16,850
+database partition database and find local
+
+360
+00:30:16,850 --> 00:30:19,870
+frequent patterns في ال partition الأول
+
+361
+00:30:19,870 --> 00:30:23,610
+consolidate global frequent patterns و أشوف إيش ال
+
+362
+00:30:23,610 --> 00:30:26,510
+global patterns اللي موجودة في الاتنين عشان هدول
+
+363
+00:30:26,510 --> 00:30:33,670
+هم اللي هيكونوا العناصر اللي موجودين عندنا reduce
+
+364
+00:30:33,670 --> 00:30:38,070
+the number of candidates ممكن أنا أشتغل
+
+365
+00:30:41,590 --> 00:30:47,930
+الـ hashing bucket count الـ item k .. k item set
+
+366
+00:30:47,930 --> 00:30:56,270
+و أن أنا أروح أدور على ال .. ال .. أقل من العدد
+
+367
+00:30:56,270 --> 00:30:59,510
+المطلوب أنا أروح أ .. أ .. أ .. أسيبهم ما بديش
+
+368
+00:30:59,510 --> 00:31:07,670
+إياهم عفوا
+
+369
+00:31:07,670 --> 00:31:10,930
+يا شباب ال .. ال .. الآن فكرة ال .. ال hash bucket
+
+370
+00:31:10,930 --> 00:31:16,460
+هنا أنا بدي آخذ ال data تبعيتي حزمة هاي ال
+
+371
+00:31:16,460 --> 00:31:19,920
+candidates اللي موجودين عندي a و b و c و d ال
+
+372
+00:31:19,920 --> 00:31:23,320
+hash entries تبعيتي عبارة عن subset أو sets من
+
+373
+00:31:23,320 --> 00:31:28,060
+pairs من أزواج a و b a و c الأخرين الآن و كل
+
+374
+00:31:28,060 --> 00:31:34,990
+واحدة مكونة من ال item set مكونة من تلاتة الآن إذا
+
+375
+00:31:34,990 --> 00:31:40,530
+من ال frequency تبع المجموعة كلها كانت أقل من ال
+
+376
+00:31:40,530 --> 00:31:43,730
+threshold معين أنا ما بديش إياهم يعني فيهم على
+
+377
+00:31:43,730 --> 00:31:50,390
+الأقل element كان وزنه ضعيف وبالتالي لم يكن على
+
+378
+00:31:50,390 --> 00:31:57,590
+القدر المعين أو نزل من حجم أو نزل من مجموع الـ
+
+379
+00:31:57,590 --> 00:32:01,110
+element set لأن لو كانوا هدول كلهم frequent items
+
+380
+00:32:01,110 --> 00:32:05,550
+معناته العدد تبعهم هتتجاوز ال frequent item
+
+381
+00:32:05,550 --> 00:32:08,210
+الموجود يعني هيك لو تكلمت أنا و قلت أن ال
+
+382
+00:32:08,210 --> 00:32:12,170
+frequency تبع كل pair ال minimum frequency خمسة
+
+383
+00:32:12,170 --> 00:32:17,570
+تمام ال minimum support تبع كل واحد خمسة خمسة و
+
+384
+00:32:17,570 --> 00:32:18,910
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+385
+00:32:18,910 --> 00:32:19,410
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+386
+00:32:19,410 --> 00:32:20,470
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+387
+00:32:20,470 --> 00:32:22,590
+خمسة و خمسة و خمسة و خ
+
+388
+00:32:25,960 --> 00:32:32,400
+خمسة عشر يعني خمسة و أربعين كونه أن العدد اللي طلع
+
+389
+00:32:32,400 --> 00:32:34,980
+.. طبعا ال minimum بدأ افترض كونه العدد خمسة و
+
+390
+00:32:34,980 --> 00:32:40,400
+ثلاثين طلع أقل منها أقل من الخمسة و أربعين معناته
+
+391
+00:32:40,400 --> 00:32:45,700
+في واحد من العناصر هدول تمام مش frequent item
+
+392
+00:32:46,370 --> 00:32:49,270
+وبالتالي أصبحت ال data set كلياتها not frequent
+
+393
+00:32:49,270 --> 00:32:52,890
+item هذا ممكن يبين معي في مجموعة ثانية أثناء
+
+394
+00:32:52,890 --> 00:32:58,930
+التوزيع اللي ظهرت عندي وبالتالي بقتش بقول أن ال A
+
+395
+00:32:58,930 --> 00:33:04,250
+,B طبعا و كذلك A,D و A,E is not a candidate for
+
+396
+00:33:04,250 --> 00:33:12,520
+two item sets if the sum of count of الـ A و الـ B
+
+397
+00:33:12,520 --> 00:33:18,640
+و الـ A و الـ D و الـ A و الـ D و الـ A و الـ A و الـ B
+
+398
+00:33:18,640 --> 00:33:23,240
+و الـ A و الـ B و الـ A و الـ D و الـ A و الـ A و الـ D
+
+399
+00:33:23,240 --> 00:33:23,420
+و الـ A و الـ A و الـ D و الـ A و الـ A و الـ D
+
+400
+00:33:23,420 --> 00:33:23,500
+و الـ B و الـ A و الـ A و الـ A و الـ A و الـ A
+
+401
+00:33:23,500 --> 00:33:2
\ No newline at end of file
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..c77c8d58ad4ae128f7f9a57b65b3af48a99b9d8a
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/oxlQUhGi7Cg_raw.srt
@@ -0,0 +1,1860 @@
+1
+00:00:03,310 --> 00:00:06,250
+السلام عليكم .. طبعا احنا جلنا .. كنا و جفنا هان
+
+2
+00:00:06,250 --> 00:00:09,790
+اللي في قطاعنا التسجيل لأنه تجاوز ال 30 دقيقة و
+
+3
+00:00:09,790 --> 00:00:12,390
+ماقلناش يكون التسجيل كبير بالنسبة لكم أو وقت طويل
+
+4
+00:00:12,390 --> 00:00:16,610
+.. بترتبوا معرفتكم ان شاء الله تعالى، مع أن لو كان
+
+5
+00:00:16,610 --> 00:00:20,990
+متواصل ممكن يكون أفضل، مايبقى عرفتالان هنتكلم عن
+
+6
+00:00:20,990 --> 00:00:27,030
+الـ Appropriate Algorithm قلنا سابقا أن البحث عن
+
+7
+00:00:27,030 --> 00:00:30,510
+ال association rules بيعتمد على شغلتين أساسيتين أو
+
+8
+00:00:30,510 --> 00:00:33,410
+خطواتين أساسيتين أي ألجوريثم مكوّن من خطواتين
+
+9
+00:00:33,410 --> 00:00:40,150
+الخطوة الأولى أن أنا فعليا أدور على كل frequent
+
+10
+00:00:40,150 --> 00:00:41,170
+item set
+
+11
+00:00:44,140 --> 00:00:46,780
+وطبعا عندما أتكلم على frequent يعني أنها تتجاوز ال
+
+12
+00:00:46,780 --> 00:00:49,480
+support ال minimum support اللي معروف عندها او ال
+
+13
+00:00:49,480 --> 00:00:53,340
+threshold الخاص بيه وبعدين اروح اعمل generate ل
+
+14
+00:00:53,340 --> 00:00:57,140
+strong association rules بناء على ال minimum أو ال
+
+15
+00:00:57,140 --> 00:01:00,720
+frequent item sets اللي موجودة عندها وعندما أتكلم
+
+16
+00:01:00,720 --> 00:01:03,380
+على strong association rules يعني أن ال rules يجب
+
+17
+00:01:03,380 --> 00:01:07,930
+أن يحققوا ال minimum support وال minimumconfidence
+
+18
+00:01:07,930 --> 00:01:11,510
+condition هذا شرمالة الـ association role القوي
+
+19
+00:01:11,510 --> 00:01:17,750
+الابريري بيستخدم او يستخدم من أجل الحصول على كل
+
+20
+00:01:17,750 --> 00:01:22,190
+frequent item set تمام it computes the frequent
+
+21
+00:01:22,190 --> 00:01:25,430
+item set in a data set through several iterations
+
+22
+00:01:25,430 --> 00:01:31,830
+من خلال دورات متعددة بيصل اياش ال case iteration
+
+23
+00:01:31,830 --> 00:01:40,050
+compute all the frequent item setالان يا جماعة
+
+24
+00:01:40,050 --> 00:01:43,970
+الخير احنا متفقين ان ال data set او ال attributes
+
+25
+00:01:43,970 --> 00:01:47,370
+او ال transactional data set اللي انا بده اشتغل
+
+26
+00:01:47,370 --> 00:01:54,470
+عليها مكونة of element elements اللي هو عددهم M من
+
+27
+00:01:54,470 --> 00:01:59,950
+I واحد زي ما قلنا ل I M items فهي M من ال items
+
+28
+00:01:59,950 --> 00:02:05,250
+معناته ال K تبعته تتراوحمن الـ 1 to M هذه
+
+29
+00:02:05,250 --> 00:02:09,070
+المجموعات اللي موجودة عندى وبالتالي هي عبارة عدد
+
+30
+00:02:09,070 --> 00:02:12,930
+الـ iteration بعدد ال elements اللي موجودة عندى او
+
+31
+00:02:12,930 --> 00:02:16,010
+عفوا بعدد ال items اللي موجودة عندى في ال data set
+
+32
+00:02:16,010 --> 00:02:20,330
+اللي موجودة هناEach iteration has two steps
+
+33
+00:02:20,330 --> 00:02:24,670
+Candidate generation بتحدد ال candidates و بعدين
+
+34
+00:02:24,670 --> 00:02:27,810
+ال candidates counting and selection بتاخد ال
+
+35
+00:02:27,810 --> 00:02:31,090
+candidate اللي هو المرشح ال element المرشح او ال
+
+36
+00:02:31,090 --> 00:02:35,690
+item 6 المرشحة وبتروح بتعدلها تمام وبناء على العدد
+
+37
+00:02:35,690 --> 00:02:40,890
+بتختارها او مابتختارهاش في
+
+38
+00:02:40,890 --> 00:02:43,010
+المثال اللي موجود عندنا هنا جماعة الخير
+
+39
+00:02:46,520 --> 00:02:51,000
+أنا بأتكلم على ال minimum support with count equal
+
+40
+00:02:51,000 --> 00:02:54,800
+to with count equal to ال minimum support with
+
+41
+00:02:54,800 --> 00:02:59,400
+count equal to with count equal to with count
+
+42
+00:02:59,400 --> 00:02:59,600
+equal to with count equal to with count equal to
+
+43
+00:02:59,600 --> 00:03:00,800
+with count equal to with count equal to with count
+
+44
+00:03:00,800 --> 00:03:00,800
+equal to with count equal to with count equal to
+
+45
+00:03:00,800 --> 00:03:00,800
+with count equal to with count equal to with count
+
+46
+00:03:00,800 --> 00:03:01,380
+equal to with count equal to with count equal to
+
+47
+00:03:01,380 --> 00:03:01,720
+with count equal to with count equal to with count
+
+48
+00:03:01,720 --> 00:03:03,220
+equal to with count equal to with count equal to
+
+49
+00:03:03,220 --> 00:03:04,120
+with count equal to with count equal to with count
+
+50
+00:03:04,120 --> 00:03:04,780
+equal to with count equal to with count equal to
+
+51
+00:03:04,780 --> 00:03:05,920
+with count equal to with count equal to with count
+
+52
+00:03:05,920 --> 00:03:05,920
+equal to with count equal to with count equal to
+
+53
+00:03:05,920 --> 00:03:05,920
+with count equal to with count equal to with count
+
+54
+00:03:05,920 --> 00:03:05,920
+equal to with count equal to with count equal to
+
+55
+00:03:05,920 --> 00:03:05,920
+with count equal to with count equal to with count
+
+56
+00:03:05,920 --> 00:03:05,920
+equal to with count equal to with count equal to
+
+57
+00:03:05,920 --> 00:03:05,920
+with count equal to with count equal to with count
+
+58
+00:03:05,920 --> 00:03:05,920
+equal to with count equal to with count equal to
+
+59
+00:03:05,920 --> 00:03:05,920
+with count equal to with count equal to with count
+
+60
+00:03:05,920 --> 00:03:08,320
+equal to with count equal to with count equal to
+
+61
+00:03:08,320 --> 00:03:14,250
+with countالـ data set تبعت في الهام لكن لو انا
+
+62
+00:03:14,250 --> 00:03:17,610
+اتيت و اتطلعت في ال database او ال data sets اللي
+
+63
+00:03:17,610 --> 00:03:23,710
+موجودة عندى اقصى شغلة عندى خمس elements او اربع
+
+64
+00:03:23,710 --> 00:03:29,830
+items موجودين في كل transactionهذا يجعلني أتوقف
+
+65
+00:03:29,830 --> 00:03:36,030
+مبكرا لأنه لن يكون لدي اي item set في ال database
+
+66
+00:03:36,030 --> 00:03:40,350
+الموجودة فيها خمس عناصر وبالتالي لا يوجد لدي أي
+
+67
+00:03:40,350 --> 00:03:44,890
+rules تحتوي على خمس عناصر هكذا يبدو بالنسبة لنا
+
+68
+00:03:44,890 --> 00:03:49,190
+تمام، دعنا نرى ماذا سيحدث الآن
+
+69
+00:03:58,360 --> 00:04:04,340
+ماشي الحال خلّيني أنا أوقف التسجيل للحظة عشان أعدل
+
+70
+00:04:04,340 --> 00:04:08,300
+شغلة في ال slide هذه في طريقة عرض ال slide ممكن
+
+71
+00:04:08,300 --> 00:04:23,640
+تكون أريح لإينا في الفهم طيب
+
+72
+00:04:23,640 --> 00:04:26,200
+جماعة الخير أرجو المثال نعرضه بشكل أفضل إن شاء
+
+73
+00:04:26,200 --> 00:04:31,930
+الله تعالىالان كما قلنا سابقا ان ال algorithm كله
+
+74
+00:04:31,930 --> 00:04:35,470
+يبحث عن ال item frequent set في الأول و بعدين
+
+75
+00:04:35,470 --> 00:04:39,490
+بيعمل generate و قلنا ان ال app priori هان في كل
+
+76
+00:04:39,490 --> 00:04:43,230
+step في كل iteration بيشتغل جيش بروح بساوي بيعمل
+
+77
+00:04:43,230 --> 00:04:44,590
+generate ل
+
+78
+00:04:47,090 --> 00:04:50,450
+للـ group بالـ candidates و بعدين بيعدلوا ال
+
+79
+00:04:50,450 --> 00:04:53,550
+elements تبعته و بعدين بيعملوا منه selection فاحنا
+
+80
+00:04:53,550 --> 00:04:56,630
+الآن هذا مع ال algorithm اللي حاسسه الآن معناته
+
+81
+00:04:56,630 --> 00:05:02,930
+حبدأ انا مع شغل بسميها C1 C1 هي عبارة عن ال
+
+82
+00:05:02,930 --> 00:05:10,210
+candidates of item set with one element اللي هم I1
+
+83
+00:05:10,210 --> 00:05:15,770
+I2 I3 I4
+
+84
+00:05:17,700 --> 00:05:21,560
+I5 مش هم ال elements اللي عندي هاي هم خمسة هدول و
+
+85
+00:05:21,560 --> 00:05:27,840
+بدى أروح أحسب ال support لكل واحدة فيهم نيجي لل I1
+
+86
+00:05:27,840 --> 00:05:31,300
+طبعا انا الآن هيك المفروض انا اساوي ارسم رسمة زي
+
+87
+00:05:31,300 --> 00:05:36,260
+هذه اقول هي C1 ال candidates تعوتي بنعملهم
+
+88
+00:05:36,260 --> 00:05:44,380
+generation generate الان I1 I2
+
+89
+00:05:49,900 --> 00:05:57,880
+I3 I4 I5 الخطوة اللي بعد هيك انا بدروح احسب لهم
+
+90
+00:05:57,880 --> 00:06:03,080
+جماعة الخير ال support لما انا بده احسب ال support
+
+91
+00:06:03,080 --> 00:06:09,900
+لل C2 لل C1 يعني ما زلت candidate واحد الان I1
+
+92
+00:06:09,900 --> 00:06:14,460
+جديش هي واحدة تلاتة
+
+93
+00:06:14,460 --> 00:06:21,050
+اربعة خمسة ستةبقدر اكتبهم مع بعض انا هاي ستة
+
+94
+00:06:21,050 --> 00:06:26,490
+support لان
+
+95
+00:06:26,490 --> 00:06:34,930
+الخطوة التانية هي عبارة هاي I1 equal 6 I2 واحدة
+
+96
+00:06:34,930 --> 00:06:45,510
+اتنين تلاتة اربعة خمسة ستة سبعة I2 equal 7 I3
+
+97
+00:06:48,370 --> 00:06:55,430
+1,2,3,4,5,6 I4
+
+98
+00:06:55,430 --> 00:07:09,550
+1,2,3,4,5,6 I5 1,2,3,4,5,6 I5 I5 I5
+
+99
+00:07:09,550 --> 00:07:12,590
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+100
+00:07:12,590 --> 00:07:12,790
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+101
+00:07:12,790 --> 00:07:12,790
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+102
+00:07:12,790 --> 00:07:12,790
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+103
+00:07:12,790 --> 00:07:12,790
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+104
+00:07:12,790 --> 00:07:12,790
+I5 I5 I5 I5 I5 I
+
+105
+00:07:17,500 --> 00:07:27,780
+I1 I2 I3 I4 I5 I5
+
+106
+00:07:27,780 --> 00:07:27,780
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+107
+00:07:27,780 --> 00:07:27,800
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+108
+00:07:27,800 --> 00:07:28,640
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+109
+00:07:28,640 --> 00:07:28,700
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+110
+00:07:28,700 --> 00:07:28,700
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+111
+00:07:28,700 --> 00:07:28,700
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+112
+00:07:28,700 --> 00:07:36,340
+I5 I5 I5 I5الخطوة الأولى رحت عملت لهم generation و
+
+113
+00:07:36,340 --> 00:07:40,740
+حسبت ال candidate وهي روحت أخدتهم لأن ال minimum
+
+114
+00:07:40,740 --> 00:07:45,240
+support بتحقق ال minimum support اللي موجودة عندي
+
+115
+00:07:45,240 --> 00:07:49,860
+تمام الخطوة التالية أنا الآن خلصت من ال candidate
+
+116
+00:07:49,860 --> 00:07:54,180
+C1 بدأ أروح أعمل candidate من C2 و لازم تكون ال
+
+117
+00:07:54,180 --> 00:08:00,940
+element هذا موجود عندي يعني أنا بدأ أقول I1 I2
+
+118
+00:08:02,300 --> 00:08:09,700
+لازم يكون موجود في ال database I1 I3
+
+119
+00:08:09,700 --> 00:08:23,920
+I1 I4 I1 I5 هد ايش هدول ال candidates of C2 لان هم
+
+120
+00:08:23,920 --> 00:08:29,460
+مجموعات من اتنين بعد هيك ببدأ ب I2أكتب I1 لأ
+
+121
+00:08:29,460 --> 00:08:36,720
+already هي موجودة عندي انا كتبتها I2 و I3 I3 I2 و
+
+122
+00:08:36,720 --> 00:08:53,680
+I4 I2 و I5 as groups بعد هي I3 و I4 I3
+
+123
+00:08:53,680 --> 00:08:55,020
+و I5
+
+124
+00:08:58,450 --> 00:09:06,210
+و بعد هي I4 و I5 و هك انا بأضمن ان انا جيبت كل ال
+
+125
+00:09:06,210 --> 00:09:11,370
+items اللي شغالة اللي موجودة بال element 2 ليش في
+
+126
+00:09:11,370 --> 00:09:17,150
+جامعة الخير انا ماروحتش كتابة I2 و I1 كمان مرة لان
+
+127
+00:09:17,150 --> 00:09:20,870
+حسب المجموعات او ما درسنا من discrete mathematics
+
+128
+00:09:20,870 --> 00:09:26,810
+انه فعليا ترتيب العناصر كمجموعة A و B
+
+129
+00:09:32,860 --> 00:09:35,720
+بالتالي ترتيب العناصر في المجموع لايعني شيء و
+
+130
+00:09:35,720 --> 00:09:39,200
+تكرار العنصر في المجموع لايعني شيء فانا ضمانة هيك
+
+131
+00:09:39,200 --> 00:09:42,800
+بأضمن ان انا جيبت كل ال elements و مافوتش ولا واحد
+
+132
+00:09:42,800 --> 00:09:46,440
+منهم و بنفس الكلام بروح بحسب ال support لكل واحد
+
+133
+00:09:46,440 --> 00:09:51,950
+فيهمأي واحد مع اي اتنين مع اتنين مع اتنين مع اتنين
+
+134
+00:09:51,950 --> 00:10:00,630
+مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع
+
+135
+00:10:00,630 --> 00:10:03,050
+اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين
+
+136
+00:10:03,050 --> 00:10:03,210
+مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع
+
+137
+00:10:03,210 --> 00:10:03,730
+اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين
+
+138
+00:10:03,730 --> 00:10:05,750
+مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع
+
+139
+00:10:05,750 --> 00:10:05,750
+اتنين مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين
+
+140
+00:10:05,750 --> 00:10:09,490
+مع اتنين مع اتنين مع اتنين مع اتنين مع اتنين
+
+141
+00:10:09,490 --> 00:10:15,050
+مع اتنين مع اتبتحتوي فقط على العناصر اللي ال
+
+142
+00:10:15,050 --> 00:10:18,710
+support تبعتها أكبر من اتنين وبالتالي هي صغرة
+
+143
+00:10:18,710 --> 00:10:24,510
+المجموعة طيب الخطوة اللي بعد هيك بروح أنشئ انا كل
+
+144
+00:10:24,510 --> 00:10:28,770
+المجموعات اللي مبنية على تلت عناصر كل المجموعات
+
+145
+00:10:28,770 --> 00:10:32,910
+اللي مبنية على تلت عناصر من اين؟ من خلال ال data
+
+146
+00:10:32,910 --> 00:10:38,920
+set اللي موجودة عندها طيب سؤال مهم جداI1 I2 I3 I4
+
+147
+00:10:38,920 --> 00:10:42,260
+I5 لو افترضنا انه في عنده I6 وهي مش مبينة اروح
+
+148
+00:10:42,260 --> 00:10:45,460
+استخدمها لأ ليش لأن هو كل ال subset لازم يكون
+
+149
+00:10:45,460 --> 00:10:49,380
+frequent و بما انه I6 مش في الحسبة ما هي مرض فانا
+
+150
+00:10:49,380 --> 00:10:53,120
+بادر اجيب ال item تلاتة اللي من تلت عناصر جدش هم
+
+151
+00:10:53,120 --> 00:10:57,540
+جامعة الخيار هيكونوا خليني بس انا ارجع للخطوة هاي
+
+152
+00:10:57,540 --> 00:11:05,740
+من تلت عناصر في عندي I1 I2 I3
+
+153
+00:11:07,470 --> 00:11:19,790
+مع I1 و I2 و I4 I1 و I2 و I5 هدول يا جماعة الخير
+
+154
+00:11:19,790 --> 00:11:28,130
+مين فيهم ينتمي لل data set هذه هي في أول سطر و I2
+
+155
+00:11:28,130 --> 00:11:38,670
+و I4 و هذه ينتمي لأول سطرI1, I2 و I3 كانت تتم
+
+156
+00:11:38,670 --> 00:11:44,250
+الأول سطر لآخر سطر طيب الان لو انا روحت و قلت I2
+
+157
+00:11:44,250 --> 00:11:52,450
+I3 I4 لها
+
+158
+00:11:52,450 --> 00:11:59,230
+وجود في ال data set اللي موجود عندى مالهاش وجود
+
+159
+00:12:03,300 --> 00:12:11,400
+I2 I3 I5 I5
+
+160
+00:12:11,400 --> 00:12:11,620
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+161
+00:12:11,620 --> 00:12:11,820
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+162
+00:12:11,820 --> 00:12:12,160
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+163
+00:12:12,160 --> 00:12:12,160
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+164
+00:12:12,160 --> 00:12:12,160
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+165
+00:12:12,160 --> 00:12:13,320
+I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5 I5
+
+166
+00:12:13,320 --> 00:12:13,320
+I5 I5 I5 I5 I5 I5
+
+167
+00:12:43,780 --> 00:12:46,920
+طيب جمعة الخير الآن بدنا ناخد اللي نعمل candidate
+
+168
+00:12:46,920 --> 00:12:53,300
+ل ال C3 الألمة بتكلم على C3 ايش أنا بتكلم .. ايش
+
+169
+00:12:53,300 --> 00:12:55,760
+.. ايش صفات المجموعات هاي؟ هي عبارة عن كل
+
+170
+00:12:55,760 --> 00:12:58,960
+المجموعات اللي فيها تلت عناصر بس بشرط ان ال
+
+171
+00:12:58,960 --> 00:13:02,720
+element تبعتهم يكون frequent item frequent item
+
+172
+00:13:02,720 --> 00:13:07,540
+ممتاز طيب الألمة أنا بدأش اقول على سبيل المثال بدأ
+
+173
+00:13:07,540 --> 00:13:09,440
+بدأ اصنف I1
+
+174
+00:13:11,420 --> 00:13:18,940
+و I2 و I3 لأن هذه المجموعة عشان انا اخدها لازم
+
+175
+00:13:18,940 --> 00:13:25,500
+لازم لازم ال I1 و I2 و I3 تكون frequent يعني كل
+
+176
+00:13:25,500 --> 00:13:29,640
+subset منها تكون frequent يعني I1 و I2 مع بعض و I2
+
+177
+00:13:29,640 --> 00:13:36,420
+و I3 و I1 و I3 مع بعض لان عفوا لما انا بدي اجي
+
+178
+00:13:36,420 --> 00:13:41,560
+اطلع لهدول مع بعض هل هدولة frequentI1 و I2 عادية
+
+179
+00:13:41,560 --> 00:13:51,160
+I1 و I3 عادية I2 و I3 عادية I1 و
+
+180
+00:13:51,160 --> 00:13:55,020
+I4 عادية
+
+181
+00:13:55,020 --> 00:13:59,940
+I1 و I2 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+182
+00:13:59,940 --> 00:14:04,260
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+183
+00:14:04,260 --> 00:14:09,300
+و I4 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+184
+00:14:09,300 --> 00:14:09,460
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+185
+00:14:09,460 --> 00:14:09,480
+و I4 عادية I1 و I4 عادية I1 و I4 عادية I1 و I4
+
+186
+00:14:09,480 --> 00:14:09,500
+عادية I1 و I4 عادية I1 و I4 عادية I1 و I4 عادية I1
+
+187
+00:14:09,500 --> 00:14:13,870
+و I4 عادية I1 و I4 عادية I1 و I4 عاديةI5 I1 I2
+
+188
+00:14:13,870 --> 00:14:17,930
+frequent I1 I5 I1 I5 هي الموجودة بيبقى الـ 2 و 5
+
+189
+00:14:17,930 --> 00:14:21,550
+I2 I5 frequent معناته okay accepted بنيجي للي
+
+190
+00:14:21,550 --> 00:14:27,130
+بعديها I2
+
+191
+00:14:27,130 --> 00:14:34,530
+I3 I4 I2
+
+192
+00:14:34,530 --> 00:14:36,650
+I4 not frequent بتسقط
+
+193
+00:14:39,050 --> 00:14:46,530
+I2 I3 I5 I3
+
+194
+00:14:46,530 --> 00:14:52,830
+و I5 ليسوا مستخدمين I2 و I5 مستخدمين I3 و I5 ليسوا
+
+195
+00:14:52,830 --> 00:14:57,490
+مستخدمين I3
+
+196
+00:14:57,490 --> 00:15:00,430
+I4 I5
+
+197
+00:15:03,220 --> 00:15:06,240
+أي تلاتة او اي اربعة او اي تلاتة او اي تلاتة او اي
+
+198
+00:15:06,240 --> 00:15:08,280
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اي
+
+199
+00:15:08,280 --> 00:15:08,760
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اي
+
+200
+00:15:08,760 --> 00:15:11,520
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اي
+
+201
+00:15:11,520 --> 00:15:13,740
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اي
+
+202
+00:15:13,740 --> 00:15:17,900
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اي
+
+203
+00:15:17,900 --> 00:15:24,080
+تلاتة او اي تلاتة او اي تلاتة او اي تلاتة او اI1
+
+204
+00:15:24,080 --> 00:15:27,640
+I2 I5 هدول ال candidates بروح بحسب اللهم ال
+
+205
+00:15:27,640 --> 00:15:31,080
+support كم مرة ظهروا فال data set اللي موجودة مع
+
+206
+00:15:31,080 --> 00:15:39,120
+بعض ال support I1 I2 I5 I مرة و I مرة تمام معناته
+
+207
+00:15:39,120 --> 00:15:43,560
+هذه مرتين مرتين
+
+208
+00:15:43,560 --> 00:15:46,820
+و
+
+209
+00:15:46,820 --> 00:15:53,170
+I1 I3 I1 I2 I3هي واحدة هيتنتين معناته هذا كمان
+
+210
+00:15:53,170 --> 00:15:57,150
+مرتين ممتاز معناته باخد من هدول انا ال candidates
+
+211
+00:15:57,150 --> 00:16:03,610
+او ال .. ال .. اللي حققوا ال minimum support عشان
+
+212
+00:16:03,610 --> 00:16:06,230
+اروح على اربعة هل هاروح على اربعة انا فعليا يا
+
+213
+00:16:06,230 --> 00:16:12,330
+جماعة الخير على items من اربع عناصر لأ لان انا
+
+214
+00:16:12,330 --> 00:16:16,810
+فعليا ماعنديش وبالتالي انا هنا وقفتلأن انا ال
+
+215
+00:16:16,810 --> 00:16:20,050
+maximum تبعتي من اربع عناصر خلنا لو انا الاصل اللي
+
+216
+00:16:20,050 --> 00:16:25,170
+انا بدي اروح فيها فبدي اخد من هنا يعني انا هاخد ال
+
+217
+00:16:25,170 --> 00:16:28,970
+association من هنا I1 عادة انا باخد ال association
+
+218
+00:16:28,970 --> 00:16:35,210
+من هنا برجعش لورا I1 I2 I3 I4 بعمل union ما بينهم
+
+219
+00:16:35,210 --> 00:16:40,950
+هيه فش غير هيك عفوا I5 جديش ال support لإلها
+
+220
+00:16:44,580 --> 00:16:49,620
+وحد تسجل في غيرها لا مفيش غيرها لأن هذا هو العبارة
+
+221
+00:16:49,620 --> 00:16:52,220
+عن ال association انا باخد منها زي ما انا كنت اخد
+
+222
+00:16:52,220 --> 00:16:56,780
+منها الآن اخدت I1 و I2 و حطيت لهم I3 I1 و I2 و I5
+
+223
+00:16:56,780 --> 00:17:03,960
+خلصنا I2 و I3 حطيت لهم I4 اخدت I2 و I3 و حطيت لهم
+
+224
+00:17:03,960 --> 00:17:11,500
+I4 I2 و I3 و I5 و هكذاعن كل الـ creation تبعتي
+
+225
+00:17:11,500 --> 00:17:16,780
+عندي هتكون من الـ element اللي موجود هنا ففعليا في
+
+226
+00:17:16,780 --> 00:17:19,200
+ال candidate generation هو بيبدأ من ال k equal
+
+227
+00:17:19,200 --> 00:17:25,540
+واحد وبياخد كل ال item set من ال one item set تمام
+
+228
+00:17:25,540 --> 00:17:29,660
+و بروح بجيب ليهم بعد هيك بيبدأ يروح يجمع العناصر
+
+229
+00:17:29,660 --> 00:17:35,180
+بعد ما يروح يحسب ال support لكل واحدة فيهم for k
+
+230
+00:17:35,180 --> 00:17:43,050
+equal k نقص اتنينjoin of الـ k ناقص واحد with
+
+231
+00:17:43,050 --> 00:17:49,830
+itself نقل العناصر هدول مع بعضهم if ال both a لحد
+
+232
+00:17:49,830 --> 00:17:56,030
+اك ناقص واحد are in ال k لو كان هدولة موجودين في
+
+233
+00:17:56,030 --> 00:18:01,790
+ال list اللي جابل ال list of candidates اللي حققوا
+
+234
+00:18:01,790 --> 00:18:05,230
+ال minimum support روح ضيفلي عليهم ال k فقط طبعا
+
+235
+00:18:05,230 --> 00:18:08,350
+مين المختلفة جامعة الخير انا فعليا هايم هدول
+
+236
+00:18:08,350 --> 00:18:14,320
+كلاتهم موجوداتمن A1 ل A .. من A ل K نقص واحد وانا
+
+237
+00:18:14,320 --> 00:18:18,160
+انضاف عند مين في ال elements في المجموعة ال K فانا
+
+238
+00:18:18,160 --> 00:18:23,300
+اضاف ال .. ايش ال K على المجموعة اللي موجودة عندي
+
+239
+00:18:23,300 --> 00:18:27,040
+وبهيكد انا ال algorithm بيشتغل و بجيبليها بعد هيكد
+
+240
+00:18:27,040 --> 00:18:29,820
+اللي .. اللي ممكن يلزم ال prone set ان انا فعليا
+
+241
+00:18:29,820 --> 00:18:35,840
+اروح ادور على ال non frequent item فبروح باخد ال K
+
+242
+00:18:35,840 --> 00:18:40,830
+نقص واحد اللي هي ال L تبعتي هايو بروح بحسب ال
+
+243
+00:18:40,830 --> 00:18:44,110
+support لإيه لهم عشان اعمل drop لمن؟ لل element
+
+244
+00:18:44,110 --> 00:18:47,810
+اللي
+
+245
+00:18:47,810 --> 00:18:53,570
+موجودة عندي اللي هي بلات حقق من ما بصبر ال
+
+246
+00:18:53,570 --> 00:18:55,730
+pseudocode بياخد ck
+
+247
+00:18:58,390 --> 00:19:03,490
+K item set frequent item set اللي هي ال list اللي
+
+248
+00:19:03,490 --> 00:19:06,830
+موجودة عندى list of frequent item set او size K
+
+249
+00:19:06,830 --> 00:19:15,150
+بيبدأ من L1 for K equal 1 ال K لا تساوي 5 K plus
+
+250
+00:19:15,150 --> 00:19:21,950
+plus begin ال candidate CK زائد واحد candidate
+
+251
+00:19:21,950 --> 00:19:27,060
+generate ال Kطبعا انا انا زي ما اقول من هنا انا
+
+252
+00:19:27,060 --> 00:19:29,840
+بحب اعمل generate for each transaction تيه ال
+
+253
+00:19:29,840 --> 00:19:33,480
+database database to increment the count of
+
+254
+00:19:33,480 --> 00:19:36,840
+candidates اللي انا هدول ال candidates هدول انا
+
+255
+00:19:36,840 --> 00:19:43,020
+بحسب ال minimum support و ال candidates with ال
+
+256
+00:19:43,020 --> 00:19:46,280
+minimum support اللي موجودين عندها و بنتهيأ لحق و
+
+257
+00:19:46,280 --> 00:19:50,020
+في الآخر ايش بروح بيساوي بيعمل union ل ال case
+
+258
+00:19:50,020 --> 00:19:54,660
+اللي موجودة يعنيطبعاً يا جماعة الخير لازم احنا
+
+259
+00:19:54,660 --> 00:19:59,300
+نأكد على نقطة مهمة جدا انه ال .. طبعا ال code او
+
+260
+00:19:59,300 --> 00:20:02,480
+حفظ ال code هذا مش .. مش مطلوب انه بقدر ما انا
+
+261
+00:20:02,480 --> 00:20:06,960
+مطلوب ان انا فهمته من خلال الخطوات وهي ال .. ال بي
+
+262
+00:20:06,960 --> 00:20:13,880
+سيدو code اللي موجود عندى كذلك ال .. ماما صلي علي
+
+263
+00:20:13,880 --> 00:20:18,760
+سيدنا محمد .. مش .. لازم ابدأ أكد على نقطة هان انه
+
+264
+00:20:18,760 --> 00:20:19,900
+انا فعليا
+
+265
+00:20:22,210 --> 00:20:25,910
+حصولي على ال frequent item set لا يعني حصولي على
+
+266
+00:20:25,910 --> 00:20:28,570
+ال association rules انا في الآخر اللي عايش وصلت
+
+267
+00:20:28,570 --> 00:20:33,050
+هنا ووصلت هايه ال frequent item set اللي موجودة من
+
+268
+00:20:33,050 --> 00:20:38,170
+عندي ال تلاتة الخطوة اللي بعد هيك اللي بعد هيك ان
+
+269
+00:20:38,170 --> 00:20:43,930
+انا بدي اروح انشئ
+
+270
+00:20:43,930 --> 00:20:47,790
+frequent item set بدي اروح انشئ association rules
+
+271
+00:20:48,800 --> 00:20:51,100
+معناته ان انا لازم ان انا عندى خطوة ان اروح انش ال
+
+272
+00:20:51,100 --> 00:20:55,280
+association ال implication هذا كيف احصل عليها for
+
+273
+00:20:55,280 --> 00:20:59,820
+each frequent item setلكل مجموعة من ال item set
+
+274
+00:20:59,820 --> 00:21:07,540
+اللي حصلتها for each non-proper non-empty set A
+
+275
+00:21:07,540 --> 00:21:13,820
+المفروض ان ال B تكون من المكملات ال X والتقاطع
+
+276
+00:21:13,820 --> 00:21:17,460
+بينهم Phi بين ال A والB ال association rule بده
+
+277
+00:21:17,460 --> 00:21:19,680
+ينبنى بالشكل هذا
+
+278
+00:21:22,060 --> 00:21:28,180
+طيب الان انا جيت هنا هذه العناصر اللي موجودة عندى
+
+279
+00:21:28,180 --> 00:21:34,280
+انا مين ايش اللي عندى العناصر I1
+
+280
+00:21:34,280 --> 00:21:43,560
+I2 I3 I5 هدولة هم ال frequent items I4 مش frequent
+
+281
+00:21:43,560 --> 00:21:47,180
+وبالتالي هيسقط من كل حسبة تماما طيب ايش اللي انا
+
+282
+00:21:47,180 --> 00:22:01,510
+باجب اقول I1 ل I2هك اللي بده يصير I1 إلى I3 I1
+
+283
+00:22:01,510 --> 00:22:13,730
+I5 بعد هيك I1 إلى I2 و I3 مع بعضهذه كل الـ
+
+284
+00:22:13,730 --> 00:22:16,690
+association rules اللي ممكن تكون عندي هان ارتباط
+
+285
+00:22:16,690 --> 00:22:23,750
+عنصر مع مجموعة او مع مجموعة مع عنصر و هان ببدأ ايه
+
+286
+00:22:23,750 --> 00:22:32,290
+و بروح بقى احسب انا لكل واحدة فيهم جداش ال support
+
+287
+00:22:32,290 --> 00:22:36,490
+و ال .. طيب خلينا نشوف المثال اللي موجود عندنا هان
+
+288
+00:22:37,740 --> 00:22:42,080
+لما انا بنقول هاي ال item set اللي موجودة عندى في
+
+289
+00:22:42,080 --> 00:22:46,000
+ال data set ده افترض ان هاي كل items اللي عندى
+
+290
+00:22:46,000 --> 00:22:48,740
+هاني frequent لأنه فعليا واحد و اتنين و تلاتة
+
+291
+00:22:48,740 --> 00:22:52,960
+عبارة عن frequent items و هم صفوا معايا للاخر فأي
+
+292
+00:22:52,960 --> 00:22:56,400
+subset هتكون موجودة لو انا افترضت ان هدولة كلهم
+
+293
+00:22:56,400 --> 00:22:58,800
+بيحققوا ال minimum support دلوقت دوري افحص ال
+
+294
+00:22:58,800 --> 00:23:04,860
+confidenceالترانزكشن الأول قيمته كم يا شباب ال
+
+295
+00:23:04,860 --> 00:23:12,740
+confidence تبعته احنا قلنا الواحد اتنين
+
+296
+00:23:12,740 --> 00:23:18,980
+تلاتة اربعة هذه قيمة ال support تبعت ال a و ال b
+
+297
+00:23:20,300 --> 00:23:25,820
+أربعة على تسعة، لا أريد أن أكتب التسعة وهنا على
+
+298
+00:23:25,820 --> 00:23:30,340
+الواحد، واحد اتنين تلاتة أربعة خمسة ستة أربعة على
+
+299
+00:23:30,340 --> 00:23:35,540
+ستة أربعة على ستة تجاوزت الخمسة الخمسة وخمسين في
+
+300
+00:23:35,540 --> 00:23:40,660
+المية معناته هذا ال rule عبارة عن strong rule أخد
+
+301
+00:23:40,660 --> 00:23:47,980
+على سبيل المثال ال rule الموجود عندهااو اي واحد او
+
+302
+00:23:47,980 --> 00:23:52,120
+اي اتنين او اي تلاتة ك support هي واحد هي اتنين
+
+303
+00:23:52,120 --> 00:24:00,100
+ممتاز اتنين على ال frequent التابعة للتنين واحدة
+
+304
+00:24:00,100 --> 00:24:06,160
+تنتين تلاتة اربعة خمسة ستة سبعة اتنين على سبعة is
+
+305
+00:24:06,160 --> 00:24:08,020
+not a strong rule وهكذا
+
+306
+00:24:14,930 --> 00:24:17,730
+هو بتتم الحسبة معايا في كل ال rules اللي موجودة
+
+307
+00:24:17,730 --> 00:24:21,530
+عندي هان وانا بقرر بناء عيني كذلك لو انا افترض ان
+
+308
+00:24:21,530 --> 00:24:26,410
+هي عندي هان مجموعة من ال rules ال minimum support
+
+309
+00:24:26,410 --> 00:24:30,350
+تبعتي اتنين وفي عندي ال minimum confidence خمسين
+
+310
+00:24:30,350 --> 00:24:33,350
+في المية وبدأ اعمل نفس الحسبة وليشوف اللي ال
+
+311
+00:24:33,350 --> 00:24:39,330
+transaction هذا مين فيهم strong ومين فيهم منحقق
+
+312
+00:24:39,330 --> 00:24:44,070
+ال minimum support يعني مين منهم strong ومين لأالـ
+
+313
+00:24:44,070 --> 00:24:48,710
+mean هذا ال support تبعت هذا الأول واحد اتنين
+
+314
+00:24:48,710 --> 00:24:57,090
+تلاتة هي واحد اتنين اتنين على a و b واحد اتنين
+
+315
+00:24:57,090 --> 00:25:02,690
+تلاتة اربعة اربعة خمسين في المية okay accepted
+
+316
+00:25:02,690 --> 00:25:11,250
+ناخد هذا على سبيل المثال برضه نفس الكلام اتنين على
+
+317
+00:25:11,250 --> 00:25:16,630
+ال aالإي واحد اتنين اتنين على اتنين معناته مية في
+
+318
+00:25:16,630 --> 00:25:21,530
+المية هنا كان خمسين في المية خمسين في المية هنا
+
+319
+00:25:21,530 --> 00:25:27,610
+مية في المية فهو accepted تمام بينما ناخد على سبيل
+
+320
+00:25:27,610 --> 00:25:38,670
+المثال هذا2 على ال بيز 1 2 3 4 5 6 7 2 على 7 اقل
+
+321
+00:25:38,670 --> 00:25:44,150
+من 50% rejected وبالتالي انا عندى هاي مجموعة ال
+
+322
+00:25:44,150 --> 00:25:47,410
+confidence انا حسبتهم الشكل هذا لكل واحد فيهم
+
+323
+00:25:47,410 --> 00:25:54,850
+وبالتالي بقدر اقول ان هدول qualified بينما
+
+324
+00:25:54,850 --> 00:26:00,400
+هدول not qualified roles يعني هدول رول قويةممكن
+
+325
+00:26:00,400 --> 00:26:05,720
+اعتمد عليها بينما هذه ليست قوية طبعا هذا كله
+
+326
+00:26:05,720 --> 00:26:10,080
+بتنبعد الحسبة ال association rules طيب نفس الكلام
+
+327
+00:26:10,080 --> 00:26:13,060
+لو انا بدى اشتغل .. بتشوف .. بنشوف المثال هذا
+
+328
+00:26:13,060 --> 00:26:17,840
+لوحدكم عشان احاول اكسب من الوقت الفكرة فيه بقولك
+
+329
+00:26:17,840 --> 00:26:21,520
+انه انا في عندى مجموعة هي عبارة عن frequent هذه
+
+330
+00:26:21,520 --> 00:26:26,240
+المجموعة frequent وال support with support خمسين
+
+331
+00:26:26,240 --> 00:26:31,240
+في المينةتمام؟ لأنه في الأخر عدد بيجي بعد خير ال
+
+332
+00:26:31,240 --> 00:26:33,700
+program empty subset هدولة ال subset وهي ال
+
+333
+00:26:33,700 --> 00:26:38,340
+support تبعت كل واحدة فيهم الان بيقولك find the
+
+334
+00:26:38,340 --> 00:26:42,680
+confidence of ال rule هذاالان ال rules اللي موجود
+
+335
+00:26:42,680 --> 00:26:45,240
+عندى هن هي عبارة عن ال support تبعته كدهش يا جماعة
+
+336
+00:26:45,240 --> 00:26:48,740
+الخير واحد اتنين تلاتة احنا قولنا اي subset منها
+
+337
+00:26:48,740 --> 00:26:51,660
+هي عبارة عن subset هتكون frequent اي بما ان هذا
+
+338
+00:26:51,660 --> 00:26:54,880
+frequent فاي subset هتكون frequent ممتاز طب ال
+
+339
+00:26:54,880 --> 00:26:59,200
+frequent اللي عندى هن عبارة عن كدهش عبارة عن خمسين
+
+340
+00:26:59,200 --> 00:27:03,100
+صح ال support تبعته خمسين هيا خمسين في المية اقولك
+
+341
+00:27:03,100 --> 00:27:06,260
+طيب
+
+342
+00:27:06,260 --> 00:27:10,470
+معناته هى خمسين في الميةاللي هم الـ A اتنين و
+
+343
+00:27:10,470 --> 00:27:13,490
+تلاتة و أربع مع بعض على اتنين و تلاتة الاتنين و
+
+344
+00:27:13,490 --> 00:27:18,830
+التلاتة هي ال support تبعتهم جداش هيها خمسين في
+
+345
+00:27:18,830 --> 00:27:23,410
+المية خمسين في المية على خمسين في المية معناته مية
+
+346
+00:27:23,410 --> 00:27:26,790
+في المية تح؟ وبالتالي هي حسبة ال confidence
+
+347
+00:27:26,790 --> 00:27:31,610
+الموجودة وكملوا البثال لأن المثال بسيط مش محتاج ال
+
+348
+00:27:31,610 --> 00:27:35,610
+a priori drawbacks اللي في عند ال major drawbacks
+
+349
+00:27:35,610 --> 00:27:41,470
+في ال a priori بحتاجالـ computational عالي طبعاً
+
+350
+00:27:41,470 --> 00:27:44,790
+لأنه انا في عندى multiple scan لل data set بضلني
+
+351
+00:27:44,790 --> 00:27:50,150
+ارجع لل data set عشان دائما افحص اعدل ال support
+
+352
+00:27:50,150 --> 00:27:53,330
+المعنى هو ان انا في عندى huge number of candidates
+
+353
+00:27:53,330 --> 00:28:01,990
+كذلك لازم تندس workload العمل ممل لانه دائما بده
+
+354
+00:28:01,990 --> 00:28:06,310
+يعد ال support مرة و تنتين و تلاتة أو عشرة للموجود
+
+355
+00:28:06,310 --> 00:28:13,630
+كيف ممكن احنا نحسنمن أداء الـ .. من
+
+356
+00:28:13,630 --> 00:28:19,290
+أداء الـ priority improving بشكل عام لو أنا قللت
+
+357
+00:28:19,290 --> 00:28:26,350
+عدد المرات للـ scanning تبع ال databaseبحس ان اجسم
+
+358
+00:28:26,350 --> 00:28:33,510
+ال database ل 2 partitions على سبيل المثال اشتغل
+
+359
+00:28:33,510 --> 00:28:38,090
+مع ال partitions من الاتنين اللي موجودين عندها اقل
+
+360
+00:28:38,090 --> 00:28:43,170
+العدد ال candidates اللي موجودين عندى
+
+361
+00:28:45,440 --> 00:28:49,160
+Facilitate support counting of candidates انه كيف
+
+362
+00:28:49,160 --> 00:28:54,160
+ممكن احسن او اشوف طريقة احتفظ فيها بالعدد تبعت ال
+
+363
+00:28:54,160 --> 00:29:00,080
+candidates او اروح استخدم تكنيقى يسرع من العملية
+
+364
+00:29:00,080 --> 00:29:04,860
+كلها و باعتماد على سبيل مثال على ال processing او
+
+365
+00:29:04,860 --> 00:29:05,920
+ال parallel computing
+
+366
+00:29:09,970 --> 00:29:14,350
+لو انا اللي بدي اجسم ال database تبعتي ل two
+
+367
+00:29:14,350 --> 00:29:20,070
+partitions و امر عليهم فقط مرتين فقط مرتين an item
+
+368
+00:29:20,070 --> 00:29:24,390
+set that potentially frequent in the database must
+
+369
+00:29:24,390 --> 00:29:28,450
+frequent at least one of the partitions يعني اذا
+
+370
+00:29:28,450 --> 00:29:31,390
+جالك الله اذا انا باجسم ال database تبعتي ل two
+
+371
+00:29:31,390 --> 00:29:36,750
+partitions و بمرها ال frequent اللي هنا هي
+
+372
+00:29:36,750 --> 00:29:37,450
+frequent هنا
+
+373
+00:29:43,250 --> 00:29:50,150
+هذا مبدأه في الحسبة اللي موجودة عندها ال any items
+
+374
+00:29:50,150 --> 00:29:54,590
+that potentially frequent in database عفوا ال
+
+375
+00:29:54,590 --> 00:29:57,010
+frequently في ال database فهي هتكون frequent في
+
+376
+00:29:57,010 --> 00:30:02,110
+واحدة منهم وبالتالي
+
+377
+00:30:02,110 --> 00:30:06,490
+خلاص انا يعني مروري لأول لأول مرة انا مريت فعشان
+
+378
+00:30:06,490 --> 00:30:09,090
+اتعرف على ال frequent items فهيكون عندي دايما
+
+379
+00:30:09,090 --> 00:30:13,650
+frequent itemsالسكان الأول هو partition the
+
+380
+00:30:13,650 --> 00:30:16,850
+database partition database and find local
+
+381
+00:30:16,850 --> 00:30:19,870
+frequent patterns في ال partition الأول
+
+382
+00:30:19,870 --> 00:30:23,610
+consolidate global frequent patterns وشوف ايش ال
+
+383
+00:30:23,610 --> 00:30:26,510
+global patterns اللي موجودة في التنتين عشان هدول
+
+384
+00:30:26,510 --> 00:30:33,670
+هم اللي هيكونوا العناصر اللي موجودين عندنا reduce
+
+385
+00:30:33,670 --> 00:30:38,070
+the number of candidates ممكن انا اشتغل
+
+386
+00:30:41,590 --> 00:30:47,930
+الـ hashing bucket count الـ item k .. k item set
+
+387
+00:30:47,930 --> 00:30:56,270
+و ان انا اروح ادور على ال .. ال .. اقل من العدد
+
+388
+00:30:56,270 --> 00:30:59,510
+المطلوب انا اروح ا .. ا .. ا .. اسيبهم مابديش
+
+389
+00:30:59,510 --> 00:31:07,670
+اياهم عفوا
+
+390
+00:31:07,670 --> 00:31:10,930
+يا شباب ال .. ال .. الان فكرة ال .. ال hash bucket
+
+391
+00:31:10,930 --> 00:31:16,460
+هانان انا بدي اخد ال data تبعتي حزمة هاي ال
+
+392
+00:31:16,460 --> 00:31:19,920
+candidates اللي موجودين عندي a والb والc والd ال
+
+393
+00:31:19,920 --> 00:31:23,320
+hash entries تبعتي عبارة عن subset او sets من
+
+394
+00:31:23,320 --> 00:31:28,060
+pairs من ازواج a والb a والc الاخرين الان وكل
+
+395
+00:31:28,060 --> 00:31:34,990
+واحدة مكونة من ال item set مكونة من تلاتةالان اذا
+
+396
+00:31:34,990 --> 00:31:40,530
+من ال frequency تبعت المجموعة كلها كانت اقل من ال
+
+397
+00:31:40,530 --> 00:31:43,730
+threshold معين انا مابديش اياهم يعني فيهم على
+
+398
+00:31:43,730 --> 00:31:50,390
+الاقل element كان وزنه ضعيف وبالتالي لم يكن على
+
+399
+00:31:50,390 --> 00:31:57,590
+القدر المعين او نزلمن حجم أو نزل من مجموع الـ
+
+400
+00:31:57,590 --> 00:32:01,110
+element set لأن لو كانوا هدول كلهم frequent items
+
+401
+00:32:01,110 --> 00:32:05,550
+معناته العدد تبعهم هتتجاوز ال frequent item
+
+402
+00:32:05,550 --> 00:32:08,210
+الموجود يعني هيك لو اتكلمت انا و قولت ان ال
+
+403
+00:32:08,210 --> 00:32:12,170
+frequency تبعت كل pair ال minimum frequency خمسة
+
+404
+00:32:12,170 --> 00:32:17,570
+تمام ال minimum support تبعت كل واحد خمسة خمسة و
+
+405
+00:32:17,570 --> 00:32:18,910
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+406
+00:32:18,910 --> 00:32:19,410
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+407
+00:32:19,410 --> 00:32:20,470
+خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و خمسة و
+
+408
+00:32:20,470 --> 00:32:22,590
+خمسة و خمسة و خمسة و خ
+
+409
+00:32:25,960 --> 00:32:32,400
+خمسة عشر يعني خمسة و أربعين كونه ان العدد اللي طلع
+
+410
+00:32:32,400 --> 00:32:34,980
+.. طبعا ال minimum بدأ افترض كونه العدد خمسة و
+
+411
+00:32:34,980 --> 00:32:40,400
+تلاتين طلع اقل منها اقل من الخمسة و أربعين معناته
+
+412
+00:32:40,400 --> 00:32:45,700
+في واحد من العناصر هدول تمام مش frequent item
+
+413
+00:32:46,370 --> 00:32:49,270
+وبالتالي أصبحت ال data set كلياتها not frequent
+
+414
+00:32:49,270 --> 00:32:52,890
+item هذا ممكن يبين معايا في مجموعة تانية أثناء
+
+415
+00:32:52,890 --> 00:32:58,930
+التوزيع اللي ظهرت عندي وبالتالي بقيتش بقول أن ال A
+
+416
+00:32:58,930 --> 00:33:04,250
+,B طبعا و كذلك A,D و A,E is not a candidate for
+
+417
+00:33:04,250 --> 00:33:12,520
+two item sets if the sum of count ofالـ A والـ B
+
+418
+00:33:12,520 --> 00:33:18,640
+والـ A والـ D والـ A والـ D والـ A والـ A والـ B
+
+419
+00:33:18,640 --> 00:33:23,240
+والـ A والـ B والـ A والـ D والـ A والـ A والـ D
+
+420
+00:33:23,240 --> 00:33:23,420
+والـ A والـ A والـ D والـ A والـ A والـ D والـ A
+
+421
+00:33:23,420 --> 00:33:23,420
+والـ A والـ A والـ B والـ A والـ B والـ A والـ B
+
+422
+00:33:23,420 --> 00:33:23,420
+والـ A والـ B والـ A والـ A والـ B والـ A والـ A
+
+423
+00:33:23,420 --> 00:33:23,500
+والـ B والـ A والـ A والـ A والـ A والـ A والـ A
+
+424
+00:33:23,500 --> 00:33:23,620
+والـ A والـ A والـ A والـ A والـ A والـ A والـ A
+
+425
+00:33:23,620 --> 00:33:23,620
+والـ A والـ A والـ A والـ A والـ A والـ A والـ A
+
+426
+00:33:23,620 --> 00:33:24,600
+والـ A والـ A والـ A والـ A والـ A والـ A والـ A
+
+427
+00:33:24,600 --> 00:33:26,320
+والـ A والـ A والـ A والـ A والـ A والـ A والـ A
+
+428
+00:33:26,320 --> 00:33:32,540
+والـ A والـ A والـأخر شغلة تقريبا عندنا الآن اللي
+
+429
+00:33:32,540 --> 00:33:35,720
+هي الـ Sampling for Frequent Patterns انا اروح
+
+430
+00:33:35,720 --> 00:33:38,260
+اعمل Sampling للـ Frequent Patterns اللي موجود
+
+431
+00:33:38,260 --> 00:33:41,380
+عندها Select a sample of original data
+
+432
+00:33:44,690 --> 00:33:48,390
+أحصل على أشكال عادية مع الـ Sample باستخدام بريوري
+
+433
+00:33:48,390 --> 00:33:53,590
+وبهيك أنا أشغل على الـ Sample من الـ Data Set و
+
+434
+00:33:53,590 --> 00:33:56,810
+أبنيهما أسكن الـ Database مرة و أمر على الـ
+
+435
+00:33:56,810 --> 00:33:58,970
+Database مرة لأكتشف أشياء عادية
+
+436
+00:34:02,410 --> 00:34:05,690
+عشان احسب ال frequency تبعت الاعلاصر الموجودة في
+
+437
+00:34:05,690 --> 00:34:10,110
+ال sample only borders of a closure frequency
+
+438
+00:34:10,110 --> 00:34:13,350
+patterns are checked طبعا انا بدور على ال bell
+
+439
+00:34:13,350 --> 00:34:17,030
+القريبة من الحد الموجود هي اللي انا بروح بقى
+
+440
+00:34:17,030 --> 00:34:21,510
+استخدمهم انا بروح بقى ادور على ال ABCD بدل ما اروح
+
+441
+00:34:21,510 --> 00:34:25,730
+ادور على ال AB و AC لحالهملماذا يا معادل الخير؟
+
+442
+00:34:25,730 --> 00:34:30,250
+لأننا متفقين إذا كنت والله انا a والb والc والd
+
+443
+00:34:30,250 --> 00:34:33,090
+are frequent معناته أي subset هيكون frequent
+
+444
+00:34:33,090 --> 00:34:39,300
+معناته a,b frequent,ac frequent,ad frequent كذلكBC
+
+445
+00:34:39,300 --> 00:34:43,540
+frequent والـ PD frequent كذلك والـ DC frequent
+
+446
+00:34:43,540 --> 00:34:46,960
+فانا اذا حصلت على هدفه هو frequent وبالتالي انا
+
+447
+00:34:46,960 --> 00:34:51,860
+بجلل عدد ال patterns اللي انا بدي اوجدها وممكن
+
+448
+00:34:51,860 --> 00:34:56,060
+ارجع لل database مرة تانية اذا كنت انا صار في عند
+
+449
+00:34:56,060 --> 00:34:59,160
+بعض ال patterns مش ملاجئلهم او مش قادر احسبلهم
+
+450
+00:34:59,160 --> 00:35:03,820
+الان بالمختصر نقدر نقول و الله انا في عند تلت او
+
+451
+00:35:03,820 --> 00:35:08,610
+في عند تلت حالاتأو هذه التقنيات اللي عشان أحسن من
+
+452
+00:35:08,610 --> 00:35:15,830
+أداء الـ Apriori أجلل عدد مرات قراءة ال database و
+
+453
+00:35:15,830 --> 00:35:18,630
+هنشوف نحنا ممكن أن انا أجسمها ل two partitions
+
+454
+00:35:18,630 --> 00:35:23,470
+أجلل من عدد ال candidates اللي موجودين عندنا و
+
+455
+00:35:23,470 --> 00:35:27,610
+أجلل ال candidates باعتماد على عصبي للمثال ال hash
+
+456
+00:35:27,610 --> 00:35:34,060
+book table أو ال hash tableأشتغل عليه الحالة
+
+457
+00:35:34,060 --> 00:35:37,160
+التالتة ان انا فعليا اشوف كيف طريقة ممكن ان اسرع
+
+458
+00:35:37,160 --> 00:35:43,320
+فيها عملية العد فانا ممكن اروح باعتمد على موضوع ال
+
+459
+00:35:43,320 --> 00:35:48,780
+sampling لل frequent patterns ومن ثم بشتغل و بشوف
+
+460
+00:35:48,780 --> 00:35:53,620
+العناصر اللي موجودة عندها هنا هنجف ان شاء الله في
+
+461
+00:35:53,620 --> 00:35:58,380
+التسجيل هذا لان الجزئية اللي ضايلة لها علاقة في ان
+
+462
+00:35:58,380 --> 00:36:03,050
+انا كيف ممكنسأبحث عن الـ Frequent Patterns بدون أن
+
+463
+00:36:03,050 --> 00:36:08,270
+أعمل Candidate Generation
+
+464
+00:36:08,270 --> 00:36:13,210
+وهنا سأتكلم عن الـ FP Growth Approach وهذا سيكون
+
+465
+00:36:13,210 --> 00:36:16,070
+موضوعنا في التسجيل القادم إن شاء الله تعالى
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/u2_vU8et3ig_raw.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/u2_vU8et3ig_raw.srt
new file mode 100644
index 0000000000000000000000000000000000000000..b577345a50fd730877d6d2f5628434d7aa8a785d
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/u2_vU8et3ig_raw.srt
@@ -0,0 +1,1472 @@
+1
+00:00:04,940 --> 00:00:07,000
+باسم الله والحمد لله والصلاة والسلام على رسول الله
+
+2
+00:00:07,000 --> 00:00:11,420
+أهلا وسهلا بكم محاضراتنا المستمرة في منصق ال data
+
+3
+00:00:11,420 --> 00:00:14,620
+mining وما زلنا في باب ال classification او في باب
+
+4
+00:00:14,620 --> 00:00:18,120
+التصنيف هنتكلم اليوم او في المحاضرة هذه ان شاء
+
+5
+00:00:18,120 --> 00:00:22,940
+الله تعالى عن classifier كتير متقدمو مستخدمة بشكل
+
+6
+00:00:22,940 --> 00:00:26,500
+كبير جدا وهو الـ Neural Network as Classifier أو
+
+7
+00:00:26,500 --> 00:00:30,000
+بالتحديد الـ Back-propagate الـ Neural Network لأ
+
+8
+00:00:30,000 --> 00:00:33,740
+أخفيكم كان عندي تردد أشرحه ولا أشرح ال support
+
+9
+00:00:33,740 --> 00:00:37,240
+vector machine كلا هما من المواضيع ال advanced و
+
+10
+00:00:37,240 --> 00:00:40,760
+اللي بتحتاج إلى optimization عالية لكن قرصين على
+
+11
+00:00:40,760 --> 00:00:44,320
+ال neural network زي ما كنا قعدينهم سابقا و خلينا
+
+12
+00:00:44,320 --> 00:00:47,700
+نبدأ مع ال neural networkالـ neural network أو
+
+13
+00:00:47,700 --> 00:00:51,400
+الشبكات العصبية العصيبية مش العصبية بكفي أنا عصبي
+
+14
+00:00:51,400 --> 00:00:55,360
+بالجمال الشبكات الشبكات العصيبية هي عبارة عن
+
+15
+00:00:55,360 --> 00:00:59,980
+مجموعة من الـ connected input و ال output units
+
+16
+00:00:59,980 --> 00:01:04,850
+يعني بين جسين هي عبارة عن مجموعة منالمدخلات
+
+17
+00:01:04,850 --> 00:01:10,390
+والمخرجات المتصلة مع بعضها البعض وكل خط أو كل
+
+18
+00:01:10,390 --> 00:01:15,210
+connection أو كل خط أو كل link الوزن معين
+
+19
+00:01:15,210 --> 00:01:21,010
+associated with it مرتبط فيهاخلال مرحلتي التعليم
+
+20
+00:01:21,010 --> 00:01:24,370
+وهنا جامعة الخير بدأنا ننتبه كويس لأن صار في عندي
+
+21
+00:01:24,370 --> 00:01:27,390
+ميقولنا احنا Machine Learning Machine Learning هي
+
+22
+00:01:27,390 --> 00:01:32,570
+الفترة اللي انا بقى قضيها في بناء ال model عشان
+
+23
+00:01:32,570 --> 00:01:35,770
+هيك قلنا في البداية خالص ال classification في عندي
+
+24
+00:01:35,770 --> 00:01:39,690
+model based وفي عندي instance based ال instance
+
+25
+00:01:39,690 --> 00:01:42,550
+based كان ياريس نيبر و ال model based decision
+
+26
+00:01:42,550 --> 00:01:46,150
+tree و النايف بايسيان سؤال مهم جدا لان بدي أطرحه
+
+27
+00:01:46,150 --> 00:01:51,430
+عليكمو بتمنى انك تدور على .. او تفكر بإجابته لأن
+
+28
+00:01:51,430 --> 00:01:56,390
+هل الـ Naive bias model based ولا instance based؟
+
+29
+00:01:56,390 --> 00:02:00,070
+هذا واحد السؤال التاني الـ Naive bias algorithm
+
+30
+00:02:00,070 --> 00:02:03,890
+الجدول اللي أنا بنيته هذا كم مرة بقى بنيه؟
+
+31
+00:02:06,390 --> 00:02:11,390
+المفروض لمرة واحدة متى بحتاج إعادة بناءه لو تغيرت
+
+32
+00:02:11,390 --> 00:02:14,850
+ال training set اللي موجودة عندي وبالتالي المفروض
+
+33
+00:02:14,850 --> 00:02:18,090
+الجدول هذا بيمثل عندي model خلال مرحلة التعليم
+
+34
+00:02:18,090 --> 00:02:21,430
+مرحلة ال learning مرحلة بناء ال model ال network
+
+35
+00:02:21,430 --> 00:02:25,610
+اللي هي الشبكة العصيبية بتحاول تعدل الأوزان اللي
+
+36
+00:02:25,610 --> 00:02:30,810
+موجودة عندها لحد ما تصل مين
+
+37
+00:02:30,810 --> 00:02:37,860
+لل label يعني بين قوسينان انا دخلت ال input عملت
+
+38
+00:02:37,860 --> 00:02:42,900
+computation حصلت على ال output بقارن بقارن بين ال
+
+39
+00:02:42,900 --> 00:02:46,680
+output الحقيقي و ال predicted و تبعا لل error اللي
+
+40
+00:02:46,680 --> 00:02:49,600
+بينهم او الفرق اللي بينهم بعمل adjustment لل
+
+41
+00:02:49,600 --> 00:02:50,880
+weight اللي موجود عندها
+
+42
+00:02:55,350 --> 00:02:57,970
+الأن الـ neural network بشكل عام جماعة الخير هي
+
+43
+00:02:57,970 --> 00:03:01,010
+بتحاكي الشبكات العصيبية في الإنسان أو الجهاز
+
+44
+00:03:01,010 --> 00:03:03,910
+العصبي في الإنسان في الآخر ال decision في الدماغ
+
+45
+00:03:03,910 --> 00:03:09,510
+والخلايا العصبية منتشرة على كل جسمك لو أنت ساكت أو
+
+46
+00:03:09,510 --> 00:03:13,710
+سرحان وقاعد بتحل في المثلة في ال data mining وإجا
+
+47
+00:03:13,710 --> 00:03:23,320
+زميلك طرف دبوس وحاول يشكك في إيدكبدون ما تنتبهله
+
+48
+00:03:23,320 --> 00:03:27,400
+انت و لا إرادي هتلاقي انه ايدك تحركت بالاتجاه
+
+49
+00:03:27,400 --> 00:03:31,980
+المضاد للشكة بحيث انها يعني تبعد عن مصدر الخطر
+
+50
+00:03:31,980 --> 00:03:35,680
+اللي صار انت فعليا مش عارف ايش اللي صار لكن مجرد
+
+51
+00:03:35,680 --> 00:03:38,840
+انك حركت ابعدت ايدك و بعدين بديت تطلع لان كانت
+
+52
+00:03:38,840 --> 00:03:42,240
+الحركة أو الجهاز العصب ادى اشارة للدماغ و الدماغ
+
+53
+00:03:42,240 --> 00:03:45,260
+اخد processing عالية سريعة جدا انه لأ ابعد عن
+
+54
+00:03:45,260 --> 00:03:47,980
+الخطر هذا و كذلك بتصير معانا في الموضوع لما يكون
+
+55
+00:03:47,980 --> 00:03:52,510
+الشغلات الحريق الى اخرهالان هذا الكلام ما صار الا
+
+56
+00:03:52,510 --> 00:03:56,330
+غير من خلال حياة مكتسبة موجودة عندها فال neural
+
+57
+00:03:56,330 --> 00:03:58,870
+network جالك ليش لما الناس فكروا فيها في الداخل في
+
+58
+00:03:58,870 --> 00:04:03,050
+الخمسينات جالك ليش ما نحاول نحاكي عقل الإنسان في
+
+59
+00:04:03,050 --> 00:04:07,410
+التعامل احنا مش كتير معنى بالصبغة التاريخية
+
+60
+00:04:07,410 --> 00:04:13,090
+والتفاصيل كتيرة لكن بشكل عام أبسط نموذج للشبكة
+
+61
+00:04:13,090 --> 00:04:15,690
+اللي موجودة عندى لأن في الآخر كل شيء computation
+
+62
+00:04:15,690 --> 00:04:20,450
+يا جماعة الخير هي مجموعة ال inputمجموعة ال input
+
+63
+00:04:20,450 --> 00:04:25,970
+الان ايش P1P لحد ال PR هي عبارة عن ال attributes
+
+64
+00:04:25,970 --> 00:04:31,350
+بتمثل
+
+65
+00:04:31,350 --> 00:04:36,790
+ال input طب وال A ال
+
+66
+00:04:36,790 --> 00:04:44,280
+output لبنجوسين ل class اللي موجود عندى انا هانالـ
+
+67
+00:04:44,280 --> 00:04:47,380
+class اللى موجود عندى ايش اللى صار اللى انا فعليا
+
+68
+00:04:47,380 --> 00:04:52,960
+كل attribute كان له وزن فانا باخد بضرب قيمة ال
+
+69
+00:04:52,960 --> 00:04:57,080
+attribute لاحظ بقول بضرب قيمة ال attribute في
+
+70
+00:04:57,080 --> 00:05:05,800
+الوزن بجمعهم بضفلهم قيمة لل bias وال function هذه
+
+71
+00:05:05,800 --> 00:05:09,460
+بتاخد decision اي واحد من ال binary classification
+
+72
+00:05:09,460 --> 00:05:13,210
+او من ال classes هتكون صفر او واحديعني binary
+
+73
+00:05:13,210 --> 00:05:17,090
+classification انتبه معايا وانتبه معايا لما انا
+
+74
+00:05:17,090 --> 00:05:20,830
+قلت باخد قيمة ال attribute و بضربها طب هل ممكن انا
+
+75
+00:05:20,830 --> 00:05:24,390
+اشتغل مع ال nominal attribute؟ لأ بينفعش ال data
+
+76
+00:05:24,390 --> 00:05:28,170
+set تبعتي كلها must be numeric لازم لأن مافيش مدى
+
+77
+00:05:28,170 --> 00:05:31,690
+اللي اروح اخد والله ال gender male male ضرب خمسة
+
+78
+00:05:31,690 --> 00:05:34,990
+حوليها 01 او اي numeric attribute انت بتشوفها
+
+79
+00:05:34,990 --> 00:05:39,170
+مناسبة ال income زي ما شوفنا قبل شوية fair و
+
+80
+00:05:39,170 --> 00:05:43,940
+excellentبرضه بقى تحوّل إياهم لأرقام وبالتالي فبدل
+
+81
+00:05:43,940 --> 00:05:46,800
+ما كانت category اللي بتروح أحوّلها كلها أرقام
+
+82
+00:05:46,800 --> 00:05:51,960
+تمام حتى لو كان coding موجودة عندى في النهاية اللي
+
+83
+00:05:51,960 --> 00:05:58,140
+هيصير كالتالي ال function تبعتي ال F ال prediction
+
+84
+00:05:58,140 --> 00:06:02,520
+function تبعتي هي عبارة عن vector الأوزان مضروبة
+
+85
+00:06:02,520 --> 00:06:07,450
+في ال inputزائد الـ bias اللي موجود عندها في مرحلة
+
+86
+00:06:07,450 --> 00:06:15,310
+ال learning بتصير الشبكة تدور على أفضل W و B لأن
+
+87
+00:06:15,310 --> 00:06:19,530
+انت لا تنسى انها معادلة خط مستقيم بتدور على أفضل W
+
+88
+00:06:19,530 --> 00:06:23,770
+و B لكن بال vectors W بتمثل الأوزان تبع ال
+
+89
+00:06:23,770 --> 00:06:26,630
+connection و ال B تمثل ال bias تبع ال network اللي
+
+90
+00:06:26,630 --> 00:06:30,210
+موجودة في ال multilayer neural network شوية الشغل
+
+91
+00:06:30,210 --> 00:06:30,870
+مختلفة
+
+92
+00:06:33,410 --> 00:06:39,370
+سابقاً أنا عندي فقط input و output في الـ simple
+
+93
+00:06:39,370 --> 00:06:42,630
+neural network و احنا قبل شوية قولنا هي عبارة عن
+
+94
+00:06:42,630 --> 00:06:47,080
+مجموعة من ال connected input و ال output unitsالان
+
+95
+00:06:47,080 --> 00:06:51,160
+في الـ Multilayer أضافلي عندى فيها ما بين ال layer
+
+96
+00:06:51,160 --> 00:06:54,620
+الأولى اللى هى اللى تمثل ال input و ال layer
+
+97
+00:06:54,620 --> 00:06:58,680
+الأخيرة اللى هى ال output layer صار بيمثل عندى مين
+
+98
+00:06:58,680 --> 00:07:02,320
+في شغل بسميليها ال hidden layer بالمناسبة كتير من
+
+99
+00:07:02,320 --> 00:07:05,740
+الناس بترفض ال neural network لأنها بتعتمدها black
+
+100
+00:07:05,740 --> 00:07:06,160
+box
+
+101
+00:07:09,080 --> 00:07:13,600
+شو يعني black box؟ black box بمعنى انه انا فعلا
+
+102
+00:07:13,600 --> 00:07:16,140
+مابشوفش ايش اللي بصير ولا بعرف ليش الأوزان هذه
+
+103
+00:07:16,140 --> 00:07:19,100
+صارت هيك وفعلا هذه هي للأسف ال algorithm اللي
+
+104
+00:07:19,100 --> 00:07:23,520
+موجودة عندنا يعني صعب ال interpretation تبعتها
+
+105
+00:07:23,520 --> 00:07:29,900
+تصير عندي طيب الآن ال input حسب الرسم اللي عندي
+
+106
+00:07:29,900 --> 00:07:34,540
+هان ال three inputs و ال two outputs و زي ما قلنا
+
+107
+00:07:34,540 --> 00:07:37,340
+بما هي كلها أرقام معناته ال input تبعتها هتكون 01
+
+108
+00:07:38,540 --> 00:07:41,280
+معناته كل neural network هذه هتكون صفر واحد في
+
+109
+00:07:41,280 --> 00:07:44,820
+المرحلة الأولى في ال network السابق يا جماعة الخير
+
+110
+00:07:44,820 --> 00:07:48,880
+هذه ال function صفر
+
+111
+00:07:48,880 --> 00:07:52,200
+واحد two classes ال class الأول و ال class التاني
+
+112
+00:07:52,200 --> 00:07:58,130
+هان صار في عندي two neurons في ال outputمعناته كل
+
+113
+00:07:58,130 --> 00:08:01,350
+واحد فيهم بتديني صفر أو واحد معناته صار في عندي
+
+114
+00:08:01,350 --> 00:08:06,030
+two bits خلني أسويها two bits صفر و صفر صفر واحد
+
+115
+00:08:06,030 --> 00:08:10,010
+واحد صفر واحد واحد وكأني بتكلم على four classes
+
+116
+00:08:10,010 --> 00:08:15,990
+يعني بال multilayer neural network صار بإمكاني أنا
+
+117
+00:08:15,990 --> 00:08:21,880
+فعليا أعرضDataset أكتر أو أحصل على Multiclass
+
+118
+00:08:21,880 --> 00:08:26,240
+Classification تعالى نشوف الشكل العام تبعت الـ
+
+119
+00:08:26,240 --> 00:08:30,300
+Network تبعته ده على الشكل اللي احنا شفناه بنسميه
+
+120
+00:08:30,300 --> 00:08:36,100
+Network Topology الـ Network Topology هان بدك تحدد
+
+121
+00:08:36,100 --> 00:08:39,720
+فيه عدد ال input أو عدد ال unit لل input في ال
+
+122
+00:08:39,720 --> 00:08:44,740
+input layerطب انا ماليش دخل فيها كتير هذه ليش لأن
+
+123
+00:08:44,740 --> 00:08:50,880
+عادة عدد ال input neurons يساوي
+
+124
+00:08:50,880 --> 00:08:54,720
+عدد ال attribute يعني بينجو سين كل attribute في ال
+
+125
+00:08:54,720 --> 00:09:01,740
+data set له one input neuron يفضل انك تروح تعمل
+
+126
+00:09:01,740 --> 00:09:06,350
+normalizationللـ values تبعت ال attributes مش يفضل
+
+127
+00:09:06,350 --> 00:09:09,370
+يمكن تكون إجباريك في مرحلة من مرحلة ليش؟ عشان
+
+128
+00:09:09,370 --> 00:09:12,530
+تتجنب ال bias تحط كل ال attributes اللي موجود بعد
+
+129
+00:09:12,530 --> 00:09:17,050
+ما انت .. بعد ما انت عملت preprocessing وجهزت ..
+
+130
+00:09:17,050 --> 00:09:20,350
+وجهزت ال data set لأن كل ال data had independent
+
+131
+00:09:21,310 --> 00:09:24,470
+لكن دلت ال scaling تبعتها عالية و بما انه عملية
+
+132
+00:09:24,470 --> 00:09:28,810
+حساب زي ما شوفنا سابقا انه يكون عنده قيمة مثلا ال
+
+133
+00:09:28,810 --> 00:09:31,710
+call بال minutes خمس .. نقول ستمية و ألف و خمسمية
+
+134
+00:09:31,710 --> 00:09:35,310
+دقيقة في مقابل ال megas اللي ال data .. اللي أنا
+
+135
+00:09:35,310 --> 00:09:40,490
+استخدمتها على ال mobile كانت بال .. بالأحد فواحد
+
+136
+00:09:40,490 --> 00:09:43,330
+هيكون ال weight تبعته أكتر من التانية فإيش الحل؟
+
+137
+00:09:43,330 --> 00:09:46,770
+لأ اعمله scaling عشان تكون من صفر لواحد و بترتاح
+
+138
+00:09:46,770 --> 00:09:51,900
+الآن number of hidden layers في ال typologyعدد الـ
+
+139
+00:09:51,900 --> 00:09:57,920
+Hidden Layer ومش بس هيك عدد الـ Hidden Neuron في
+
+140
+00:09:57,920 --> 00:10:02,620
+الـ Hidden Layer يعني
+
+141
+00:10:02,620 --> 00:10:05,200
+بين جسين انا جاعد بتكلم في الـ Neural Network
+
+142
+00:10:05,200 --> 00:10:14,800
+بتكلم على Input Layer و بتكلم على Hidden Layer و
+
+143
+00:10:14,800 --> 00:10:22,100
+بتكلم على Output Layer تلت طبقات موجودة عندىال
+
+144
+00:10:22,100 --> 00:10:29,260
+input وال output معروفين ها number of classes وهنا
+
+145
+00:10:29,260 --> 00:10:36,540
+number of attributes أبو
+
+146
+00:10:36,540 --> 00:10:42,380
+هان هان يا سيد العزيز ماحدش بيحكمك في حاجة ولا في
+
+147
+00:10:42,380 --> 00:10:46,040
+قانون واضح الان احنا بتتكلم عشان تكون عندى multi
+
+148
+00:10:46,040 --> 00:10:49,580
+layer على الأقل بيكون في عندى single layerولمّا
+
+149
+00:10:49,580 --> 00:10:52,500
+بتكون في عندي اكثر من two hidden layer بتصير deep
+
+150
+00:10:52,500 --> 00:10:56,040
+neural network تمام؟ وهذا المصطلح اللي بيستخدمه
+
+151
+00:10:56,040 --> 00:10:58,660
+اليوم في ال machine learning بيسمي احنا ال deep
+
+152
+00:10:58,660 --> 00:11:01,760
+learning لكن احنا الآن خلينا بشكل بسيط بتكلم على
+
+153
+00:11:01,760 --> 00:11:05,630
+input layerhidden layer one hidden layer و output
+
+154
+00:11:05,630 --> 00:11:09,190
+hidden layer بالنسبة لعدد ال neurons في ال hidden
+
+155
+00:11:09,190 --> 00:11:12,590
+layer اللي موجودة عندي انا هانجدش انا والله عندي
+
+156
+00:11:12,590 --> 00:11:17,210
+حسب ال attribute عندي اربعة input اربعة attributes
+
+157
+00:11:17,210 --> 00:11:23,860
+وعندي two classes معروفين ربها دولبرضه مافيش عدد
+
+158
+00:11:23,860 --> 00:11:28,140
+الـ neurons مبهم ومتروك لك للتجربة و القياس او
+
+159
+00:11:28,140 --> 00:11:31,300
+تجربة و الخطأ زي ما احنا بنسميها احيانا و اتحددها
+
+160
+00:11:31,300 --> 00:11:34,840
+لكن في بعض الناس بتقولك خليني اعمل initialization
+
+161
+00:11:34,840 --> 00:11:44,300
+للكلام هذا عبر انه ابدأ بمجموع التنين على اتنين
+
+162
+00:11:44,300 --> 00:11:49,580
+يعني الان اربعة و اتنين ستة
+
+163
+00:11:53,290 --> 00:12:00,090
+على 2 ثلاثة ولاحظ وكأنه بيصير عند رسمة الشبكة هي 4
+
+164
+00:12:00,090 --> 00:12:05,990
+في ال input ثلاثة في ال output او عفوا في ال
+
+165
+00:12:05,990 --> 00:12:07,810
+hidden و 2 في ال output
+
+166
+00:12:26,450 --> 00:12:30,210
+وهذه الشبكة تبعتي بتصير بالشكل هذا قاعد بعملها
+
+167
+00:12:30,210 --> 00:12:33,730
+narrowing باتجاه ال output اللي موجودة واحد قال لأ
+
+168
+00:12:33,730 --> 00:12:37,850
+انا بدي اخد ضعف ال input او بدي اخد جدهم مافيش حد
+
+169
+00:12:37,850 --> 00:12:41,470
+هيقولك لأ القمر هذا متروك لك عشان ايه قلتلك هذه
+
+170
+00:12:41,470 --> 00:12:44,070
+الشبكة بدها optimization ال neural network من
+
+171
+00:12:44,070 --> 00:12:46,510
+الشغلات اللي بدها optimization كتير و بدها شغل
+
+172
+00:12:46,510 --> 00:12:50,820
+كتير في ال configurationنرجع للـ simplest الـ
+
+173
+00:12:50,820 --> 00:12:54,540
+neural network اللي موجودة عندها في الآخر ال
+
+174
+00:12:54,540 --> 00:12:58,860
+function انا هاللاحظ حاطين summation عشان عبارة عن
+
+175
+00:12:58,860 --> 00:13:04,300
+مضروب ال input في ال weight تبعتها و بجمعهم هذه
+
+176
+00:13:04,300 --> 00:13:09,180
+عبارة عن vector و بضفلهم ال bias لمرة واحدة و بروح
+
+177
+00:13:09,180 --> 00:13:13,470
+على ال function اللي موجودة عندهاالان الـ function
+
+178
+00:13:13,470 --> 00:13:17,470
+هذه عادة بنسميها اما ال activation function او ال
+
+179
+00:13:17,470 --> 00:13:22,050
+transformation function activation function او
+
+180
+00:13:22,050 --> 00:13:25,330
+transformation function ليش transformation او
+
+181
+00:13:25,330 --> 00:13:29,210
+transfer function لأن هي بتنقل ال input لل output
+
+182
+00:13:29,210 --> 00:13:34,190
+ليش بتسميها activation لأنها بتعمل على تنشيط ال
+
+183
+00:13:34,190 --> 00:13:38,670
+output neurons اللي موجودة عندى هنا وبتماما هخرجها
+
+184
+00:13:38,670 --> 00:13:46,610
+هطلحة لل out بكل بساطةبكل بساطة انت تخيل انا في
+
+185
+00:13:46,610 --> 00:13:50,350
+عندي function ال function تبعتي هذه لازم تحسب ..
+
+186
+00:13:50,350 --> 00:13:56,610
+تاخد .. تاخد مني input ال input لو كان اكبر او
+
+187
+00:13:56,610 --> 00:14:02,350
+تساوي واحد فال output واحد otherwise تديني صفر وفي
+
+188
+00:14:02,350 --> 00:14:08,630
+عندي بقوللي ال input تبعتي P1 و P2 هيهم الأوزان
+
+189
+00:14:08,630 --> 00:14:14,940
+تبعتهمواحد و نص و واحد معناته و ال bias تبعتي ساوي
+
+190
+00:14:14,940 --> 00:14:18,880
+سالب واحد و نص معناته حسب ال function ال output
+
+191
+00:14:18,880 --> 00:14:25,800
+تبعتي اتنين ضرب واحد و نص زي التلاتة ضرب واحد ناقص
+
+192
+00:14:25,800 --> 00:14:29,760
+واحد و نص اففف اربعة و نص اففف اربعة و نص الاربعة
+
+193
+00:14:29,760 --> 00:14:34,190
+و نص اكبر من واحد معناته دي هتعطيلياللي ال class
+
+194
+00:14:34,190 --> 00:14:38,270
+الأول بناء على ال output أو ال input المدخل عفواني
+
+195
+00:14:38,270 --> 00:14:42,210
+وبالتالي ال actual output تبعتي الفعلي بيعتمد على
+
+196
+00:14:42,210 --> 00:14:45,710
+مين؟ على ال transfer function اللي موجودة عندي هنا
+
+197
+00:14:45,710 --> 00:14:49,150
+طبعا ممكن يتغير ال threshold اللي أنا روحت فحصته
+
+198
+00:14:49,150 --> 00:14:57,450
+عنده هنا أنا هنا قلتله أكبر أو تساوي واحد yes و no
+
+199
+00:14:57,450 --> 00:15:00,150
+هي ال business logic تبعتي ال function تبعتي
+
+200
+00:15:00,150 --> 00:15:06,680
+وبالتالي اناالقيم الموجودة الان ال activation
+
+201
+00:15:06,680 --> 00:15:07,360
+function
+
+202
+00:15:10,670 --> 00:15:13,930
+هي عندي منهم مجموعة من الـ functions الأولى
+
+203
+00:15:13,930 --> 00:15:17,950
+بنسميها hard limit function أو hard limit transfer
+
+204
+00:15:17,950 --> 00:15:20,970
+function وزي ما انت شايفهان وزي ما انت شايفهان
+
+205
+00:15:20,970 --> 00:15:25,530
+hard limit بتاخد ال value و بتفحص إذا كانت بتديني
+
+206
+00:15:25,530 --> 00:15:29,070
+واحد لما تكون القيمة أكبر أو تساوي صفر أقل من صفر
+
+207
+00:15:29,070 --> 00:15:32,710
+بتديني صفر لأنه binary زي ما قلنا binary ال
+
+208
+00:15:32,710 --> 00:15:36,050
+classification و هذه بنسميها hard limit مافيش مجال
+
+209
+00:15:36,050 --> 00:15:39,880
+يا صفر يا واحد الآنفي عند الـ Linear
+
+210
+00:15:39,880 --> 00:15:42,900
+Transformation Function أو الـ Threshold Function
+
+211
+00:15:42,900 --> 00:15:47,500
+الـ Threshold Function زي ما احنا شايفين هيها إذا
+
+212
+00:15:47,500 --> 00:15:51,540
+كانت القيمة تديني أعلى من قيمة ال line هذا معناته
+
+213
+00:15:51,540 --> 00:15:56,560
+ل class A يعني كل المنطقة هي C1
+
+214
+00:15:56,560 --> 00:16:04,180
+وهذه C2 بناء على ال line اللي موجود عندي كذلك في
+
+215
+00:16:04,180 --> 00:16:05,460
+عندي ال Sigmoid Function
+
+216
+00:16:08,570 --> 00:16:14,310
+عبارة عن دالة بتعتمد على الـ exponential A
+
+217
+00:16:14,310 --> 00:16:21,450
+تساوي واحد على واحد زائد E أص ناقص N مين الـ N يا
+
+218
+00:16:21,450 --> 00:16:27,770
+جماعة الخير؟ عشان أذكركم بالـ N هي عبارة عن حاصل
+
+219
+00:16:27,770 --> 00:16:34,660
+جمع العناصر العنصرين هدول وما تنساش هذه vectorو
+
+220
+00:16:34,660 --> 00:16:37,660
+هذه vector فبنضرب في بعض هم من ثم انا حصلت على
+
+221
+00:16:37,660 --> 00:16:44,460
+العناصر اللي موجودة عندهان الان شفنا الشبكة و
+
+222
+00:16:44,460 --> 00:16:49,840
+عرفنا شغلها يعني بكل بساطة كيف انا بدي اشتغل او
+
+223
+00:16:49,840 --> 00:16:54,840
+كيف ال neural network بتشتغل بتاخد ال input تبع ال
+
+224
+00:16:54,840 --> 00:17:00,450
+attributes اللي موجودة عندهان و بتدخل إياهمو ال
+
+225
+00:17:00,450 --> 00:17:03,970
+input فترة ال training بتدخل اتباعا او عفوا في ال
+
+226
+00:17:03,970 --> 00:17:07,250
+attributes بتدخل بشكل متوازي مع بعضهم لأن زي ما
+
+227
+00:17:07,250 --> 00:17:11,450
+قلنا ال instance بالكامل بتدخل عندي على ال system
+
+228
+00:17:11,450 --> 00:17:18,250
+بعد هيك في أوزان الشبكة عادة بتبدأ ب random weight
+
+229
+00:17:18,250 --> 00:17:21,970
+بتبدأ ب random weight و الأوزان مع كل connection
+
+230
+00:17:21,970 --> 00:17:25,490
+مع كل connection من ال connections السابقة هاي في
+
+231
+00:17:25,490 --> 00:17:27,950
+اول ما بتبدأ الشبكة بتحط random weight
+
+232
+00:17:30,650 --> 00:17:37,670
+الخطوة اللي بعد هيك لما انا بعد ما بتروح تدخل لاحظ
+
+233
+00:17:37,670 --> 00:17:41,190
+معايا خلنا نقول ال input in your own hand هنفي W1
+
+234
+00:17:41,190 --> 00:17:49,520
+1 W1 2W1 3 و W1 4 لأيش؟ لأن عندي 4 hidden neuron و
+
+235
+00:17:49,520 --> 00:17:53,500
+4 connection ال value تبع ال hidden neuron أو ال
+
+236
+00:17:53,500 --> 00:17:56,200
+input neuron هذا اللي تبع ال attribute الأول
+
+237
+00:17:56,200 --> 00:18:03,820
+خلّيني على سبيل المثال نقول هنا 1.7 من عشرة الان
+
+238
+00:18:03,820 --> 00:18:09,460
+1.7 من عشرة ضرب W1 1 جاية لمين؟ لل hidden neuron
+
+239
+00:18:09,460 --> 00:18:16,430
+هنا في المقابل عندي هنا مثلا كانت 2و هذه الـ W 2 1
+
+240
+00:18:16,430 --> 00:18:21,430
+و هذه الـ W 3 1 و هذه الـ W 1 1 و هذه الـ W 3 1 و
+
+241
+00:18:21,430 --> 00:18:22,910
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+242
+00:18:22,910 --> 00:18:23,890
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+243
+00:18:23,890 --> 00:18:26,510
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+244
+00:18:26,510 --> 00:18:28,550
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+245
+00:18:28,550 --> 00:18:29,110
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+246
+00:18:29,110 --> 00:18:30,230
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+247
+00:18:30,230 --> 00:18:30,370
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+248
+00:18:30,370 --> 00:18:30,750
+هذه الـ W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1 و
+
+249
+00:18:30,750 --> 00:18:34,510
+هذه الـ W 3 1 و هذه الـ
+
+250
+00:18:34,510 --> 00:18:43,070
+W 3 1 و هذه الـ W 3 1 و هذه الـ W 3 1
+
+251
+00:18:46,660 --> 00:18:50,260
+وبديني decision انه بيطلع output وال output برضه
+
+252
+00:18:50,260 --> 00:18:55,540
+فيه إلها أوزان وبتتوزع على .. يعني الآن السهم اللي
+
+253
+00:18:55,540 --> 00:18:58,580
+داخل على ال neuron بيمثل ال input و اللي طالع منه
+
+254
+00:18:58,580 --> 00:19:02,540
+بيمثل ال output تبعته ايش ال .. اوكي احنا عرفنا هن
+
+255
+00:19:02,540 --> 00:19:05,200
+انه ال input طب ايش ال input ايش ال output .. عفوا
+
+256
+00:19:06,520 --> 00:19:08,840
+ما هي القيمة اللي طالع عندي من الـ hidden neuron؟
+
+257
+00:19:08,840 --> 00:19:11,240
+هي عبارة عن تجميع على العناصر اللي موجودة عندي هنا
+
+258
+00:19:11,240 --> 00:19:15,440
+ومن ثم بصدرليها بنفس الفكرة على الأوزان اللي جاي
+
+259
+00:19:15,440 --> 00:19:20,420
+بعدها وهكذا بتتم عمل الشبكة الآن هذه الشبكات
+
+260
+00:19:20,420 --> 00:19:26,520
+بتشتغل ضمن ال feed forward neural نتويرك
+
+261
+00:19:26,650 --> 00:19:29,030
+في ال feed forward neural network أنا فعليا قاعد
+
+262
+00:19:29,030 --> 00:19:32,630
+بشتغل باتجاه واحد فقط وهو الاتجاه أو التدفق
+
+263
+00:19:32,630 --> 00:19:36,930
+الطبيعي للشبكة من ال input لحد ال output اللي
+
+264
+00:19:36,930 --> 00:19:46,190
+موجودة عندى نقاط القوة في الشبكة انه فعليا بتتحكم
+
+265
+00:19:46,190 --> 00:19:49,950
+او بتقدر تسيطر بشكل قوى على ال noise data اللي
+
+266
+00:19:49,950 --> 00:19:55,430
+موجودة عندى هانبتقدر تعمل classification على
+
+267
+00:19:55,430 --> 00:19:57,790
+untrained pattern بتقدر تتحملها detection بشكل
+
+268
+00:19:57,790 --> 00:20:02,670
+بسيط مناسبة جدا لل continuous value في ال input و
+
+269
+00:20:02,670 --> 00:20:05,670
+ال output على خلاف اللي احنا شفناهم سابقا ال
+
+270
+00:20:05,670 --> 00:20:09,750
+classifiers السابقة بتشتغل مع أي قرية من ال real
+
+271
+00:20:09,750 --> 00:20:15,130
+world data حتى لو كانت بال handwritten ال
+
+272
+00:20:15,130 --> 00:20:18,150
+algorithm ممكن يطبق parallel بشكل متوازي وبتالي
+
+273
+00:20:18,150 --> 00:20:23,060
+هذا بيعمل على تسريع العمل ال weaknesses تبعتهاإنها
+
+274
+00:20:23,060 --> 00:20:26,500
+بتحتاج لفترة طويلة من التعليم لأن زي ما شوفنا أن
+
+275
+00:20:26,500 --> 00:20:33,340
+الأوزان كلها بتتغير تخيل أنك في عندك عشرة input في
+
+276
+00:20:33,340 --> 00:20:38,060
+عشرة hidden في أربعة أو بلاش في اتنين
+
+277
+00:20:41,140 --> 00:20:44,420
+output اضرب هدول هي عبارة عن عدد ال connections
+
+278
+00:20:44,420 --> 00:20:47,320
+اللي موجودة و عدد ال connections بعدد الأوزان
+
+279
+00:20:47,320 --> 00:20:52,760
+وبالتالي بتكلم على 200 value كأوزان بدها تغيير مع
+
+280
+00:20:52,760 --> 00:20:57,000
+كل عملية ال training و هذا مع كل instance وبالتالي
+
+281
+00:20:57,000 --> 00:21:01,860
+موضوع ال training هياخد منه وقت طويل بتحتاج ده
+
+282
+00:21:01,860 --> 00:21:04,380
+كتير من ال argument او من ال parameter انا بحتاج
+
+283
+00:21:04,380 --> 00:21:07,340
+اعملها tuning بشكل صحيح عشان اقدر احصل على ال
+
+284
+00:21:07,340 --> 00:21:11,460
+result المطلوبةمنها إن الـ structure تبعتها أبسط
+
+285
+00:21:11,460 --> 00:21:15,680
+ما يمكن إيش ال structure؟ إيش ال activation
+
+286
+00:21:15,680 --> 00:21:19,380
+function اللي أنا بدي اعتمدها؟ إلى آخرين الآن من
+
+287
+00:21:19,380 --> 00:21:22,520
+أهم ال neural network اللي موجودة يا جماعة الخير
+
+288
+00:21:22,520 --> 00:21:26,200
+شغلة بنسميها ال back propagate neural network back
+
+289
+00:21:26,200 --> 00:21:32,400
+propagate الانتشار للخلف الآن أنا هوضحها بشكل سريع
+
+290
+00:21:32,400 --> 00:21:40,530
+هان هحاول أرسمها على الصبورةبس عشان تنتين تلاتة
+
+291
+00:21:40,530 --> 00:21:52,390
+أربعة واحدة تنتين تلاتة واحدة تنتين واحد اتنين
+
+292
+00:21:52,390 --> 00:21:54,230
+تلاتة
+
+293
+00:22:23,390 --> 00:22:27,830
+تمام عشان نفهم بس مبدأ ال neural network او ال
+
+294
+00:22:27,830 --> 00:22:31,210
+back propagate neural network بشكل سريع و مش هخش
+
+295
+00:22:31,210 --> 00:22:34,730
+المعادلات الرياضية التفصيلية اللي هشغل عليها لكن
+
+296
+00:22:34,730 --> 00:22:37,910
+انا بهمني الان نفهم ال concept على السريع الان
+
+297
+00:22:37,910 --> 00:22:42,510
+تخيل ان انا في عندى instance او ال data set
+
+298
+00:22:42,510 --> 00:22:45,810
+المفروض ال data set تبعتي او ال data set تبعتي
+
+299
+00:22:45,810 --> 00:22:49,190
+مكونة من four attributes و one class attribute
+
+300
+00:22:49,190 --> 00:22:56,110
+مظبوط و one targetبنسميهم A1, A2, A3, A4 و ال
+
+301
+00:22:56,110 --> 00:23:03,770
+label طبعا المفروض هنقل A1, A2, A3, A4 و هنا
+
+302
+00:23:03,770 --> 00:23:07,770
+المفروض في عند ال label الآن الفكرة فيها أنه هياخد
+
+303
+00:23:07,770 --> 00:23:11,210
+ال instance في الأول أول بعد ما بأتكلم على ال
+
+304
+00:23:11,210 --> 00:23:16,150
+topology تبعتها بروح بياخد مني عندي random weight
+
+305
+00:23:19,480 --> 00:23:22,320
+بياخد أوزان من صفر لواحد على كل ال connections
+
+306
+00:23:22,320 --> 00:23:28,500
+اللي موجودة تمام؟ الآن بياخد ال value مثلا واحد
+
+307
+00:23:28,500 --> 00:23:32,340
+واحد صفر واحد وال label تبعتها وكانت كانت على سبيل
+
+308
+00:23:32,340 --> 00:23:36,540
+مثال واحد بالشكل هذا فبياخد القيام اللي موجودة هنا
+
+309
+00:23:36,540 --> 00:23:40,580
+وبضربها مع الأوزان اللي موجودة لحد ما بياخد ال
+
+310
+00:23:40,580 --> 00:23:46,100
+output الآن في عندي ال real class وفي عندي ال
+
+311
+00:23:46,100 --> 00:23:47,000
+predicted class
+
+312
+00:23:49,540 --> 00:23:56,960
+الفرق بينهم بيأخذ
+
+313
+00:23:56,960 --> 00:24:01,700
+الخطأ هذا و بيبدأ يوزع بالعكس جداش الوزن كان هذا
+
+314
+00:24:01,700 --> 00:24:06,460
+random جداش ال connection جداش كل connection ساهم
+
+315
+00:24:08,030 --> 00:24:13,810
+بالوزن أو بالخطأ هذا فبتوزع عليهم الخطأ وكل مكان
+
+316
+00:24:13,810 --> 00:24:18,010
+اللي predicted تبعتي صح بتكون ال error zero معناته
+
+317
+00:24:18,010 --> 00:24:21,530
+أنا مش بحاجة أرجع يعني بين جثين ال neural network
+
+318
+00:24:21,530 --> 00:24:23,970
+بشكل عام او ال back propagation neural network
+
+319
+00:24:23,970 --> 00:24:31,830
+بشكل عام بتشتغل على two ways الباص الأولىمرحلة ال
+
+320
+00:24:31,830 --> 00:24:35,490
+prediction باخد ال input تبعتي بدخلها على ال data
+
+321
+00:24:35,490 --> 00:24:37,810
+على ال neural network بحسب لحد ما بحصل على ال
+
+322
+00:24:37,810 --> 00:24:43,110
+output بحسب ال error و بروح بوزن قيمة أو بعدل
+
+323
+00:24:43,110 --> 00:24:48,010
+الأوزان تبعا لقيمة الخطأ اللي موجود عندهم
+
+324
+00:24:49,890 --> 00:24:53,230
+وهذا فعلياً اللي بتصير عندنا في الـ neural network
+
+325
+00:24:53,230 --> 00:24:56,510
+في ال back propagate ال neural network ال forward
+
+326
+00:24:56,510 --> 00:25:01,970
+path ال path الأولى بطبق ال input و بحسب ال output
+
+327
+00:25:01,970 --> 00:25:05,830
+تبع ال activation function و بحسب الخطأ اللي موجود
+
+328
+00:25:05,830 --> 00:25:10,990
+عندي في ال back propagate ال path أنا فعلياً باخد
+
+329
+00:25:10,990 --> 00:25:14,990
+قيمة الخطأ و بعدل الأوزان حسب مساهمتها في نسبة
+
+330
+00:25:14,990 --> 00:25:21,120
+الخطأ اللي موجودة عندنا هناأخر slide موجودة عندي
+
+331
+00:25:21,120 --> 00:25:25,880
+هان اللي هي slide اللي لها علاقة بال بايثون كيف
+
+332
+00:25:25,880 --> 00:25:29,380
+ممكن انا اطبق ال back propagation neural network
+
+333
+00:25:29,380 --> 00:25:38,420
+على ال بايثون طبعا انا اشتغلت كتالي هان عملت load
+
+334
+00:25:38,420 --> 00:25:43,360
+لل IRS لل data set اللي موجودة عندي هان from ASCII
+
+335
+00:25:43,360 --> 00:25:47,520
+layer dot linear model import perceptron اشتغلت
+
+336
+00:25:47,520 --> 00:25:50,730
+على الأبسطالـ neural network اللي موجودة عندنا هنا
+
+337
+00:25:50,730 --> 00:25:55,970
+حددت ال target تبعتها و حولتها ل numbers setosa
+
+338
+00:25:55,970 --> 00:25:58,710
+طبعا او not setosa هيك لان في ال binary
+
+339
+00:25:58,710 --> 00:26:01,130
+classification and one او ال symbol ال neural
+
+340
+00:26:01,130 --> 00:26:03,670
+network تشغل على binary classification زي ما شوفنا
+
+341
+00:26:03,670 --> 00:26:07,590
+فحولت .. قلت اما هذا فيها three classes حولت ل two
+
+342
+00:26:07,590 --> 00:26:13,890
+classes صفر و واحد setosa و not setosa استدعيت
+
+343
+00:26:13,890 --> 00:26:17,780
+ال neural network تبعتي from ASCII learn.neural
+
+344
+00:26:17,780 --> 00:26:21,020
+network and board multilayer perceptron classifier
+
+345
+00:26:21,020 --> 00:26:26,740
+الموديل هذا يتطلب مني ان احدد له شغلات كتيرة عدد
+
+346
+00:26:26,740 --> 00:26:32,580
+ال hidden layer قلت له تنتين و خمسة نيورون في كل
+
+347
+00:26:32,580 --> 00:26:36,830
+واحدةأو الـ solver اللي هي ال activation function
+
+348
+00:26:36,830 --> 00:26:39,770
+تبعتي ال alpha اللي بتمثل ال learning rate هذه
+
+349
+00:26:39,770 --> 00:26:43,290
+مالكوش دخل فيها الآن ال solver و ال hidden layer
+
+350
+00:26:43,290 --> 00:26:46,850
+size ال hidden layer size هي تبعتي المهمة بالنسبة
+
+351
+00:26:46,850 --> 00:26:49,750
+لي ال activation function هي ال radial based
+
+352
+00:26:49,750 --> 00:26:53,490
+function وهنا بنتكلم على ال network اللي موجودة
+
+353
+00:26:53,490 --> 00:26:57,430
+هنا فقلتله أعمل train تبع ال X و ال Y فرح أعدل
+
+354
+00:26:57,430 --> 00:27:00,430
+الأوزان اللي موجود عندى هنا فلما أنا بدي أزوده
+
+355
+00:27:00,430 --> 00:27:04,610
+الآنData و اقوله اعملها prediction ال data بدها
+
+356
+00:27:04,610 --> 00:27:07,670
+تكون تماما مع ال data مع ال input اللي موجودة
+
+357
+00:27:07,670 --> 00:27:11,850
+عنديها و هذه ال data set هي عبارة عن مجموعة من
+
+358
+00:27:11,850 --> 00:27:15,490
+العناصر اللي موجودة عندها اذا قدمتليها as in او
+
+359
+00:27:15,490 --> 00:27:19,230
+matrix فاخدليها و في الآخر هتدين ل prediction اللي
+
+360
+00:27:19,230 --> 00:27:22,510
+موجودة يعني باختصار بسيط جدا انا المفروض ان data
+
+361
+00:27:22,510 --> 00:27:27,070
+set تبعتي احولها كلها ل numeric data في حال اذا
+
+362
+00:27:27,070 --> 00:27:31,680
+كنت انا بدي اشتغل معالـ Neural Network بتمنى عليكم
+
+363
+00:27:31,680 --> 00:27:35,300
+وهذه تجربوها وتفهموا الموضوع كويس وزي ما قلنا
+
+364
+00:27:35,300 --> 00:27:38,040
+سابقا على ال forum اللي موجود على ال model أنا
+
+365
+00:27:38,040 --> 00:27:41,420
+مستعد ان شاء الله تعالى للإجابة على أي سؤال وطبعا
+
+366
+00:27:41,420 --> 00:27:44,240
+احنا اتعمدنا الإجابات على ال forum مش على الخاص
+
+367
+00:27:44,240 --> 00:27:48,520
+عشان نقدر الفائدة تعمل لجميع والسلام عليكم ورحمة
+
+368
+00:27:48,520 --> 00:27:49,540
+الله وبركاته
+
diff --git a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/vNlYsg8cGAY_postprocess.srt b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/vNlYsg8cGAY_postprocess.srt
new file mode 100644
index 0000000000000000000000000000000000000000..2db782842a933879cd1aaeddd261931b6f390aff
--- /dev/null
+++ b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/vNlYsg8cGAY_postprocess.srt
@@ -0,0 +1,2916 @@
+1
+00:00:07,760 --> 00:00:09,860
+بسم الله و الحمد لله و الصلاة والسلام على رسول
+
+2
+00:00:09,860 --> 00:00:13,720
+الله أهلا و أهلا بالشباب الطيبين و أتمنى لكم إن
+
+3
+00:00:13,720 --> 00:00:18,380
+شاء الله فصل جديد ملءه النشاط و المعرفة و ختمه
+
+4
+00:00:18,380 --> 00:00:21,400
+الدرجات العالية إن شاء الله تعالى اليوم إن شاء
+
+5
+00:00:21,400 --> 00:00:25,720
+الله هنبدأ نتكلم أو هنعمل مقدمة نتكلم .. نتواصل ..
+
+6
+00:00:25,720 --> 00:00:30,180
+نتناقش فيها و نعرض فيها syllabus أو وصف مساق تنقيب
+
+7
+00:00:30,180 --> 00:00:34,400
+البياناتالـ .. لكن كالعادة يعني اللي بنحب ال
+
+8
+00:00:34,400 --> 00:00:38,380
+discussion و بنحب نتكلم معاكم بشكل كويس لو أنا
+
+9
+00:00:38,380 --> 00:00:44,380
+سألتك أو سألت أي واحد فيكوا، شو يعني تنقيب بيانات؟
+
+10
+00:00:44,380 --> 00:00:48,660
+طيب، حد فيكو كلف نفسه يطلع على وصف المساق اللي
+
+11
+00:00:48,660 --> 00:00:53,220
+موجود على الصفحة قبل ما يسجل المساق؟ أه محمد؟ اللي
+
+12
+00:00:53,220 --> 00:00:57,020
+هي filtering the big data filtering the big data
+
+13
+00:00:57,020 --> 00:00:59,660
+شو يعني معاه؟ شو يعني بالعربي filter؟
+
+14
+00:01:02,490 --> 00:01:08,190
+filter معناته أنا بتتكلم على تصفية ترتيب مصبوط لأ
+
+15
+00:01:08,190 --> 00:01:11,930
+هي ال data mining أو تنقيب البيانات شغل أكبر من
+
+16
+00:01:11,930 --> 00:01:18,630
+هيك آه الشباب حاجة
+
+17
+00:01:18,630 --> 00:01:24,970
+صغيرة و أفصل البيانات اللي فيها طيب
+
+18
+00:01:24,970 --> 00:01:30,710
+الآن أجيب pattern أطلع شغلة غامضة الآن يعني بديتها
+
+19
+00:01:30,710 --> 00:01:32,110
+.. آه رمي
+
+20
+00:01:35,260 --> 00:01:41,100
+أه الوصول إلى معلومات مفيدة من معلومات ما لها غير
+
+21
+00:01:41,100 --> 00:01:45,880
+مرتبة غير مرتبة خلّيني أقول طيب الآن لو أنا جيت
+
+22
+00:01:45,880 --> 00:01:51,440
+سألتك تنقيب
+
+23
+00:01:51,440 --> 00:01:58,400
+بالعربي mining شو
+
+24
+00:01:58,400 --> 00:02:03,080
+يعني كلمة تنقيب معناته بالعربي استخراج استخراج
+
+25
+00:02:03,080 --> 00:02:07,090
+أيش؟يعني ابن فعلا راح يقول و الله بدنا بنقب عن
+
+26
+00:02:07,090 --> 00:02:13,610
+الشواكل مثلا؟ لا .. لا .. لا استخراج مادة من مادة
+
+27
+00:02:13,610 --> 00:02:22,230
+خام استخراج أو بحث أثبت؟
+
+28
+00:02:22,230 --> 00:02:25,330
+مادة من مادة خام طب ممكن تقولي إيش طبيعة المادة هي
+
+29
+00:02:25,330 --> 00:02:25,870
+يا باشا؟
+
+30
+00:02:29,140 --> 00:02:31,680
+التنقيب الأن سيبني من ال data ال data عن الجهة
+
+31
+00:02:31,680 --> 00:02:39,420
+خلينا الآن نتكلم على التنقيب أيوة أيوة البحث هذا
+
+32
+00:02:39,420 --> 00:02:44,260
+أو التنقيب هذه كمسمة أو كمصطلح مرتبط باستخراج أو
+
+33
+00:02:44,260 --> 00:02:48,940
+البحث عن أشياء
+
+34
+00:02:48,940 --> 00:02:52,080
+ثمينة
+
+35
+00:02:52,080 --> 00:02:55,120
+نادرة
+
+36
+00:02:55,120 --> 00:02:57,460
+الوجود
+
+37
+00:02:58,280 --> 00:03:01,180
+يعني الآن مافعش أروح أقول و الله أنا بده نقب على
+
+38
+00:03:01,180 --> 00:03:06,280
+جلم أرصاص احنا بروح باشتر جلم أرصاص أو بستلفه لأن
+
+39
+00:03:06,280 --> 00:03:09,060
+حد بتتفرج في ال national geographic و بتتفرج على
+
+40
+00:03:09,060 --> 00:03:13,460
+برامج التنقيب عليش
+
+41
+00:03:13,460 --> 00:03:22,000
+بنقبه كانوا؟ اه يا هاشم عن الذهب، فحم، petrole،
+
+42
+00:03:22,000 --> 00:03:29,050
+الحفير، أحجار كريمة، ولاحظ كلها .. كلهاغالية
+
+43
+00:03:29,050 --> 00:03:35,830
+ونادرة الوجود ومهمة في عالمنا اليوم طيب كلمة تنقيب
+
+44
+00:03:35,830 --> 00:03:44,130
+ارتبطت بمخاطر زائد
+
+45
+00:03:44,130 --> 00:03:46,210
+تكلفة ولا شو رايكوا؟
+
+46
+00:03:49,310 --> 00:03:51,410
+الناس اللي بتعمل تنقيب على الدهب وتنقيب على
+
+47
+00:03:51,410 --> 00:03:54,810
+البترول هاي جداش في عندهم risk عالية لإنهم
+
+48
+00:03:54,810 --> 00:03:58,270
+بيستخدموا مكان تقيل بيضطروا بيحفروا عميقا في الأرض
+
+49
+00:03:58,270 --> 00:04:02,010
+أحيانا بينزلوا أحيانا في داخل الحفرة تبعتهم وممكن
+
+50
+00:04:02,010 --> 00:04:06,810
+تنهار عليهم هذه
+
+51
+00:04:06,810 --> 00:04:10,510
+مخاطر على مستوى الجسد مخاطر تانية مرتبطة بالتنقيب
+
+52
+00:04:10,510 --> 00:04:16,710
+إنه ممكن بعد جهد كبير تطلع صفر اليدين تمام؟
+
+53
+00:04:18,660 --> 00:04:22,720
+وتكلفة عالية، مكان وفمكانه تماما زى الصياد اللى
+
+54
+00:04:22,720 --> 00:04:28,940
+بروح بحاول يصيد بس الصياد بيستنى السمك يجيه،
+
+55
+00:04:28,940 --> 00:04:33,880
+مظبوط؟ بينما المناقب هو اللى بدور هو اللى ببحش
+
+56
+00:04:33,880 --> 00:04:38,440
+وبدور عن العناصر اللى موجودة فاليوم احنا هنتكلم
+
+57
+00:04:38,440 --> 00:04:44,140
+تنقيب البيانات تمام؟
+
+58
+00:04:54,970 --> 00:04:59,450
+data شو يعني بيانات؟
+
+59
+00:04:59,450 --> 00:05:03,010
+بيانات،
+
+60
+00:05:03,010 --> 00:05:06,970
+إيش يعني بيانات؟
+
+61
+00:05:06,970 --> 00:05:11,790
+طيب إيش الفرق بين ال data و ال information؟
+
+62
+00:05:15,730 --> 00:05:19,930
+Data تمت معالجة، معناته البيانات هي البيانات الخام
+
+63
+00:05:19,930 --> 00:05:23,070
+وبدأ أرجع للكلام اللي قلت لزميلك استخراج مادة من
+
+64
+00:05:23,070 --> 00:05:28,330
+مادة خام فانت فعليا عندك بيانات طلاب الجامعات في
+
+65
+00:05:28,330 --> 00:05:35,750
+فلسطين من 2000 ل2020 So what؟ أنا جد موجودة أكتر
+
+66
+00:05:35,750 --> 00:05:40,270
+من database، دمجناهم مع بعض جمعنا البيانات هذه،
+
+67
+00:05:40,270 --> 00:05:45,260
+إيش بقدر أستفيد منهم أنا؟دورك أنت كمنقب تبدأ تروح
+
+68
+00:05:45,260 --> 00:05:50,500
+تدورلنا على معرفة جديدة نقدر نستفيد منها في حياتنا
+
+69
+00:05:50,500 --> 00:05:54,860
+مثل .. نسبة الذكور للإناث أه .. لاحظ من .. أنا
+
+70
+00:05:54,860 --> 00:05:56,560
+خلّيني بص .. أنا بضايق .. بعدين بجاوبك يعني على
+
+71
+00:05:56,560 --> 00:05:59,040
+الكلام اللي أنا بحكي فيه الآن زميل اللي بقول مثل
+
+72
+00:05:59,040 --> 00:06:03,160
+نسبة الذكور للإناث هذا الكلام غلط، هذا أحصى ألف
+
+73
+00:06:03,160 --> 00:06:08,140
+بأحصى بتجيبها، مش ضرورة تتعلم تنقيب بياناتوهنشوف
+
+74
+00:06:08,140 --> 00:06:11,060
+كمان شوية في التعريف تبع تنقيب البيانات أنه أنا
+
+75
+00:06:11,060 --> 00:06:17,300
+فعليا بحاجة إلى استخدام طرق غير تقليدية وهتشوف أنه
+
+76
+00:06:17,300 --> 00:06:19,960
+تنقيب البيانات باستخدام الإحصاء و باستخدام ال
+
+77
+00:06:19,960 --> 00:06:22,420
+database و باستخدام البرمجة و باستخدام الشبكات و
+
+78
+00:06:22,420 --> 00:06:25,760
+باستخدام معظم العلوم من أجل الوصول للهدف المطلوب
+
+79
+00:06:25,760 --> 00:06:29,480
+لأن هو بنقمش في معلومات
+
+80
+00:06:32,110 --> 00:06:36,270
+بنقب في ال data عشان يطلع ايوة فبالتالي الان هذه
+
+81
+00:06:36,270 --> 00:06:40,510
+بيانات مش معلومات عشان هي انا بسألك ايش هي
+
+82
+00:06:40,510 --> 00:06:45,510
+البيانات شوف
+
+83
+00:06:45,510 --> 00:06:51,850
+عادة .. مثلا .. الان انت بتستخرجي المعلومة تمام؟
+
+84
+00:06:51,850 --> 00:07:00,630
+الان بالعربي عادة احنا بنقول تنقيب عن الذهب ماقولش
+
+85
+00:07:00,630 --> 00:07:07,380
+بنقب في الذهبتنقيب عن البترول ومكان التنقيب في
+
+86
+00:07:07,380 --> 00:07:12,600
+حياتنا كبشر مكان واحد باطن الأرض عشانك اختصر كل
+
+87
+00:07:12,600 --> 00:07:18,300
+المسميات تمام؟ كما بقولك تنقيب عن بينما هان أنواع
+
+88
+00:07:18,300 --> 00:07:22,980
+البيانات اللي عندي مختلفة و ال task تبعتي اللي انا
+
+89
+00:07:22,980 --> 00:07:27,700
+باطلعلهامختلفة ال data مصدر البيانات لما تكون
+
+90
+00:07:27,700 --> 00:07:31,500
+بيانات الطلاب الجامعيين على مستوى فلسطين غير لما
+
+91
+00:07:31,500 --> 00:07:34,980
+تكون مصدر البيانات بيانات وإما الإرشيف الصحي
+
+92
+00:07:34,980 --> 00:07:39,500
+للمواطنين الفلسطينيين بيصير في عندي هن بتدور عشغلة
+
+93
+00:07:39,500 --> 00:07:46,120
+مختلفة عنها ومصدرين مختلفين فبصير تنقيب البيانات
+
+94
+00:07:46,120 --> 00:07:51,300
+مجلكاش تنقيب عن البيانات فانا بنقب في ال .. بنقب
+
+95
+00:07:51,300 --> 00:07:56,430
+البيانات قاعد عشان .. بهدف أني أطلع منها شغلةممكن
+
+96
+00:07:56,430 --> 00:07:58,950
+تكون Formation بس هي فعليا أعلى من ال information
+
+97
+00:07:58,950 --> 00:08:03,470
+احنا متكلم على knowledge، معرفة وحنشوف الفرق ..
+
+98
+00:08:03,470 --> 00:08:06,370
+الفرق بين ال data و ال information و ال knowledge
+
+99
+00:08:06,370 --> 00:08:12,270
+و الحكمة أو ال wisdom لاحقا وبالتالي أنا الآن هدفي
+
+100
+00:08:12,270 --> 00:08:18,670
+ان اتعلم كيف انقب البيانات في البيانات مش عن
+
+101
+00:08:18,670 --> 00:08:23,370
+البياناتالآن data mining تنقيب مقصود فيها في
+
+102
+00:08:23,370 --> 00:08:27,470
+البيانات تنقيب البيانات نفسها من أجل استخراج معرفة
+
+103
+00:08:27,470 --> 00:08:34,870
+طيب، تتوقع العملية تكون سهلة ولا صعبة؟ حسب ال data
+
+104
+00:08:34,870 --> 00:08:40,810
+لكن عادة ال data mining هي task ليس task تقليدية
+
+105
+00:08:40,810 --> 00:08:44,810
+ممكن تقدر تكتب برنامج، و هذا يعقد إن كتبك تكون
+
+106
+00:08:44,810 --> 00:08:50,120
+developer كويسيقتضي منك إنك تعمل import و export
+
+107
+00:08:50,120 --> 00:08:53,920
+بعض الأحيان لل database وكيف تعمل integration
+
+108
+00:08:53,920 --> 00:08:58,700
+وبلزمك تعرف إن ال database كويس بلزمك تتعرف على ال
+
+109
+00:08:58,700 --> 00:09:02,660
+machine learning algorithm عشان تسخرها في عملية
+
+110
+00:09:02,660 --> 00:09:05,660
+التنقل، يعني بنجوسين بدك أدوات، بدك tools اللي
+
+111
+00:09:05,660 --> 00:09:08,600
+بدور على الدهب، عنده حفار و عنده جرافة و عنده
+
+112
+00:09:08,600 --> 00:09:14,770
+المصفاية و عنده الميه إلى آخره، هذه هي أدواتهوانت
+
+113
+00:09:14,770 --> 00:09:17,390
+لازم يكون لك أدواتك اللي بقى بتستخدمها في عملية
+
+114
+00:09:17,390 --> 00:09:21,670
+التنقيب طيب لما بنتكلم على معلومات المساق تبعنا
+
+115
+00:09:21,670 --> 00:09:29,250
+أهم شغلة بيهمك فيها إيميلي لأي استفسار طبعا كلكم
+
+116
+00:09:29,250 --> 00:09:34,030
+بتعرفوا ساعات المكتبية للفصل هذا من السبت للأربعة
+
+117
+00:09:34,760 --> 00:09:37,640
+من الـ 11 إلى الواحدة أنا موجود في المكتب طبعا إلا
+
+118
+00:09:37,640 --> 00:09:40,300
+لو صار في اجتماع طارق أنا مابقدرش أتحكم فيه يعني
+
+119
+00:09:40,300 --> 00:09:43,340
+بس غالبا ان شاء الله أكون موجود و مكتبي في الطابق
+
+120
+00:09:43,340 --> 00:09:49,100
+التالت في مبنى تكنولوجيا المعلومات مقعد لقائنا 9 و
+
+121
+00:09:49,100 --> 00:09:54,960
+نص إلى ال 11 كان في I 116 و جبناه القاعة المصورة
+
+122
+00:09:54,960 --> 00:10:02,270
+هذه وصف المسابق تبعناالمساق هذا حاولنا نعيد تصميمه
+
+123
+00:10:02,270 --> 00:10:08,730
+أو صممناه بحيث إنه يزود الطالب بمقدمة عن علم
+
+124
+00:10:08,730 --> 00:10:15,890
+البيانات ويزوده بخبرة عملية hand experience في
+
+125
+00:10:15,890 --> 00:10:21,630
+التعامل مع كل مراحل مشروع أو مع شريع قواعد data
+
+126
+00:10:21,630 --> 00:10:26,770
+mining تنقيب البيانات الآن hand experience تجربة
+
+127
+00:10:26,770 --> 00:10:32,760
+عمليةwith all faces لما أتكلم with all faces
+
+128
+00:10:32,760 --> 00:10:38,000
+معناته أنا جاعت بأتكلم عن إيش؟ عن مشروع بمر في
+
+129
+00:10:38,000 --> 00:10:41,580
+مراحل مش مرحلة واحدة الآن في ال database project
+
+130
+00:10:41,580 --> 00:10:44,760
+لو أنا بدأ قارنها في ال database بتعمل analysis
+
+131
+00:10:44,760 --> 00:10:50,560
+بتعمل design بتعمل implementation بصبت؟ ايش دول
+
+132
+00:10:50,560 --> 00:10:51,200
+بعد هيك؟
+
+133
+00:10:53,820 --> 00:10:57,780
+خلاص بدي أعمل test عشان أتأكد أن كل الأمور تمام
+
+134
+00:10:57,780 --> 00:11:00,560
+وبعد ذلك لو أنا محتاج maintenance بكلمة على أربع
+
+135
+00:11:00,560 --> 00:11:04,720
+مراحل اليوم هتشوف أنه أنا في عنيا في اندي 6 من 7
+
+136
+00:11:04,720 --> 00:11:10,580
+على 8 مراحل وكل واحدة بدها جهد ومعرفة مختلفة مني
+
+137
+00:11:10,580 --> 00:11:16,500
+عشان أقدر أنجزها طبعا هذا كله باعتماد على ال real
+
+138
+00:11:16,500 --> 00:11:20,780
+data بينفعش أستخدم fake data أو fabricated data و
+
+139
+00:11:20,780 --> 00:11:23,790
+أشتغل عليهاطب دلوقت بدأ اجيب الـ real data الـ
+
+140
+00:11:23,790 --> 00:11:26,610
+real data متاحة في مواقع كتير عالميا بتزودني بـ
+
+141
+00:11:26,610 --> 00:11:31,110
+real data موجودة historical data في مجالات مختلفة
+
+142
+00:11:31,110 --> 00:11:36,450
+بدءا من التمييز بين أنواع الحشرات ومواصفاتها لحد
+
+143
+00:11:36,450 --> 00:11:41,730
+تصنيف الصور الفضاء والشغلات هذه فانت وين مهتم ممكن
+
+144
+00:11:41,730 --> 00:11:45,770
+تلاقي بيانات بتخدمكوحزودكوا ان شاء الله من خلال ال
+
+145
+00:11:45,770 --> 00:11:49,210
+model بمجموعة من الرابط ممكن المحاضرة الجاية أعرض
+
+146
+00:11:49,210 --> 00:11:53,430
+الرابط عليكوا نشوف بعض المواقع بحيث ان مطلوب منك
+
+147
+00:11:53,430 --> 00:11:58,410
+فعليا اتحدد data set أنت و الفريق تبعك عشان تشتغل
+
+148
+00:11:58,410 --> 00:12:04,030
+عليها لحد نهاية الفصيلة الآن هذا المساق هيغطي
+
+149
+00:12:04,030 --> 00:12:11,070
+مواضيع بدءا من ال data format أنواع البيانات طبعا
+
+150
+00:12:11,070 --> 00:12:15,850
+بما أنه ذرسكوا قواعد بيانات اتنينهسألكوا شو هو
+
+151
+00:12:15,850 --> 00:12:22,190
+أنواع البيانات تتذكروا المربع تابع البيانات؟
+
+152
+00:12:22,190 --> 00:12:27,810
+رسمنا رسمة زي هيك اللي هي علاقة بالبيانات قبل ما
+
+153
+00:12:27,810 --> 00:12:33,490
+نتكلم عن الـ NoSQL Database طبعا
+
+154
+00:12:33,490 --> 00:12:37,690
+احنا بناخد المعلومات عشان ننسى صح؟ أعين عليك صار
+
+155
+00:12:37,690 --> 00:12:38,490
+في عندي structured
+
+156
+00:12:43,360 --> 00:12:50,220
+و unstructured طيب، واش كمان؟ لا يا باشا، خلاص،
+
+157
+00:12:50,220 --> 00:12:52,800
+هدولة هنتهى .. هنتهى semi-structured قولنا الـ No
+
+158
+00:12:52,800 --> 00:12:57,040
+SQL جاية عشان تتعامل مع الـ semi-structured data و
+
+159
+00:12:57,040 --> 00:12:59,320
+لو كانت الـ structure بتتعامل معاها unstructured
+
+160
+00:12:59,320 --> 00:13:02,960
+بتتعامل معاها غير و فيه كمان تصطفين static
+
+161
+00:13:11,330 --> 00:13:16,070
+و Dynamic Data الان ان البيانات تبعتي تتسم بواحدة
+
+162
+00:13:16,070 --> 00:13:19,590
+من الصفات هذه بواحدة من المربعات هذه اما هتكون
+
+163
+00:13:19,590 --> 00:13:24,510
+Structured و Static او Unstructured و Static طبعا
+
+164
+00:13:24,510 --> 00:13:26,470
+لما اتكلم على Structured معناه ان انا بتكلم على
+
+165
+00:13:26,470 --> 00:13:30,080
+جداوي الجاهزةوهذه اللي معنين فيها في المرحلة
+
+166
+00:13:30,080 --> 00:13:33,620
+الحالية في الـ Data Mining وإلا كان صار اسم المساق
+
+167
+00:13:33,620 --> 00:13:37,900
+علوم البيانات لأنه بيصير المفروض منك تاخد الـ
+
+168
+00:13:37,900 --> 00:13:41,160
+unstructured data وتتعامل معاها مثل ما بتتعامل مع
+
+169
+00:13:41,160 --> 00:13:47,840
+structured فاحنا مستهدفين المنطقة هذه وممكن هذه في
+
+170
+00:13:47,840 --> 00:13:52,080
+الـ Dynamicوبالتالي أنا بقى أشتغل وين؟ على
+
+171
+00:13:52,080 --> 00:13:55,840
+structure data سواء كانت dynamic أو static مش
+
+172
+00:13:55,840 --> 00:14:00,320
+فارقة كتير معايا عشان هيك بالذنبي أنا أميز من ال
+
+173
+00:14:00,320 --> 00:14:06,540
+data format كيف أعملها cleaning؟ شو يعني cleaning؟
+
+174
+00:14:06,540 --> 00:14:14,320
+الآن حفروا الناس اللي بنقبوا عن الدهب شو طلعوا؟ لا
+
+175
+00:14:14,320 --> 00:14:19,740
+غلطان انت بطلعوا التربة بطلع ال soilتمام؟ بياخدوا
+
+176
+00:14:19,740 --> 00:14:25,060
+الطينة هذه و بروحوا بغسلوها عشان يخلوا يشه الحجار
+
+177
+00:14:25,060 --> 00:14:30,200
+اللي بتظل بعد هيك بيبدوا ي caramelوا فيها مصبوط؟
+
+178
+00:14:30,200 --> 00:14:34,640
+يصفوها عشان يسقط كل شيء مالوش علاقة طبعا غالبا
+
+179
+00:14:34,640 --> 00:14:38,060
+بيستخدموا الميه بالدرجة الأول عشان الدهب ثقيل و
+
+180
+00:14:38,060 --> 00:14:41,720
+بترسم في الآخر انت الآن مفهوم ال cleaning هنا شوية
+
+181
+00:14:41,720 --> 00:14:46,160
+مختلف عن التعامل مع الدهب مفهوم ال cleaning هنا أن
+
+182
+00:14:46,160 --> 00:14:50,660
+ال data تبعت مش على كيفي جايةال data هذه فيها
+
+183
+00:14:50,660 --> 00:14:55,300
+بيانات بتتكلم عن ال birth date تاريخ الميلاد بينما
+
+184
+00:14:55,300 --> 00:15:01,280
+أنا محتاج للعمر بيجي بقوللي يا والله أنا في عند ال
+
+185
+00:15:01,280 --> 00:15:07,780
+GPA تبع الطالب ال GPA يعني في عندي real number و
+
+186
+00:15:07,780 --> 00:15:12,940
+huge number of values من 40 لحد 100 أنا مابديش
+
+187
+00:15:12,940 --> 00:15:15,700
+أتعامل مع ال GPA بدي أتعامل مع ال level مع ال
+
+188
+00:15:15,700 --> 00:15:20,640
+gradeممتاز جيد جدا إلى آخره في بعض ال data فيها
+
+189
+00:15:20,640 --> 00:15:24,500
+مفقودات لقيت إنه والله في record معين رقم أو معدل
+
+190
+00:15:24,500 --> 00:15:30,180
+الطالب مش موجود مين بده يعبي ليه؟ سجل المريض الصحي
+
+191
+00:15:30,180 --> 00:15:33,460
+كده فيه بيانات مفقودة بدي أعبيها في بعض ال data
+
+192
+00:15:33,460 --> 00:15:38,680
+inconsistent غير متناسقة عمره 40 سنة وتاريخ ميلاده
+
+193
+00:15:38,680 --> 00:15:39,560
+95
+
+194
+00:15:42,150 --> 00:15:45,630
+فهي بدي أتحرى فالآن وبالتالي أنا بحاجة أعمل
+
+195
+00:15:45,630 --> 00:15:50,330
+cleaning لل data وتقريبا مرحلة جمع البيانات
+
+196
+00:15:50,330 --> 00:15:58,290
+وتجهيزها أطول فترة في عمر أي مشروع مرتبط بعلوم
+
+197
+00:15:58,290 --> 00:16:02,290
+البيانات أو تنقيب البيانات بشكل واضح make a
+
+198
+00:16:02,290 --> 00:16:09,050
+prediction أنا الآن اتعرفت على البيانات جهزتها بدي
+
+199
+00:16:09,050 --> 00:16:13,500
+أتنبأ اتنبأ بإيش؟قد أشوف الـ knowledge الجديدة هذه
+
+200
+00:16:13,500 --> 00:16:17,940
+اللي أنا ممكن تخدمني أروح أشوف والله بيانات الطلاب
+
+201
+00:16:17,940 --> 00:16:21,600
+الجامعيين أو بيانات الطلاب اللي عندي في جامعات
+
+202
+00:16:21,600 --> 00:16:26,760
+الفلسطينية من الألفين لألفين وعشرين عشرين سنة في
+
+203
+00:16:26,760 --> 00:16:30,020
+كل سنة في عندي كام الف طالب يدخلوا الجامعات
+
+204
+00:16:30,020 --> 00:16:36,000
+ويتخرجوا الآن هل ممكن أنا ألاقي علاقة واضحة بين
+
+205
+00:16:36,000 --> 00:16:39,580
+على سبيل المثال الظروف الاجتماعية تبعت الطالب
+
+206
+00:16:39,580 --> 00:16:44,800
+وتحصيله العلميمن البيانات بتعرفوا .. من البيانات
+
+207
+00:16:44,800 --> 00:16:48,800
+بتعرفوا .. بس هل السؤال هذا .. هل statistics
+
+208
+00:16:48,800 --> 00:16:53,740
+إحصاء؟ كيف يعني إحصاء؟ ال statistics بتعمل تسوية
+
+209
+00:16:53,740 --> 00:16:55,280
+البيانات اللي عندك تتعمل تسوية البيانات اللي عندك
+
+210
+00:16:55,280 --> 00:16:55,300
+تتعمل تسوية البيانات اللي عندك تتعمل تسوية
+
+211
+00:16:55,300 --> 00:16:55,780
+البيانات اللي عندك تتعمل تسوية البيانات اللي عندك
+
+212
+00:16:55,780 --> 00:16:56,140
+تتعمل تسوية البيانات اللي عندك تتعمل تسوية
+
+213
+00:16:56,140 --> 00:16:57,200
+البيانات اللي عندك تتعمل تسوية البيانات اللي عندك
+
+214
+00:16:57,200 --> 00:16:57,780
+تتعمل تسوية البيانات اللي عندك تتعمل تسوية
+
+215
+00:16:57,780 --> 00:16:58,880
+البيانات اللي عندك تتعمل تسوية البيانات اللي عندك
+
+216
+00:17:03,470 --> 00:17:08,190
+اها، اها، شوف إيش بدى يسوي هو بدى يبني role إذا
+
+217
+00:17:08,190 --> 00:17:14,330
+كان نسبة ظهور ال pattern هذا 90% فما فوق، الآن هذا
+
+218
+00:17:14,330 --> 00:17:18,050
+ال role هو بمثابة ال knowledge تبعتك لكن هذا الآن
+
+219
+00:17:18,050 --> 00:17:23,470
+مش statistic، وإن كان جزء منها هيكون statistic لما
+
+220
+00:17:23,470 --> 00:17:27,430
+تروح تدورت أنت الحالة الاجتماعية بارتباطها
+
+221
+00:17:27,430 --> 00:17:31,680
+بالتحصيل العلمي، جديشالـ frequent لما دورت على عدد
+
+222
+00:17:31,680 --> 00:17:38,400
+تكرارها استخدمت إحصاء عشان تعمل prediction زي ما
+
+223
+00:17:38,400 --> 00:17:44,240
+قلنا وتستخدم ال tools الحديثة ومن الممكن من أهم ال
+
+224
+00:17:44,240 --> 00:17:47,420
+tools الشباب المستخدم اليوم هي ال tools المبنية
+
+225
+00:17:47,420 --> 00:17:50,360
+على الـ Python سواء كانت ك programming language
+
+226
+00:17:50,360 --> 00:17:54,300
+تمام أو different distribution للـ Python أو حتى
+
+227
+00:17:54,300 --> 00:18:00,430
+فعلياً software packages مبنية على الـ Pythonبعد
+
+228
+00:18:00,430 --> 00:18:05,470
+هيك بدي أعمل evaluation المفروض evaluation لإيش؟
+
+229
+00:18:05,470 --> 00:18:10,210
+لشغل، للنتيجة اللي حصلت عليها، الآن و بعد دراسة
+
+230
+00:18:10,210 --> 00:18:15,890
+الشريف الصحي تبع المرضى اكتشفنا ان والله ان الناس
+
+231
+00:18:15,890 --> 00:18:19,490
+اللي بيكون عندها سوء تغذية هدولة ممكن برضه يكون
+
+232
+00:18:19,490 --> 00:18:24,270
+احتمالية اصابتهم بسرطان الرئى الله يبعد عنك الشر و
+
+233
+00:18:24,270 --> 00:18:29,900
+والديك و جميع المسلمين انه عالي جداكل ال knowledge
+
+234
+00:18:29,900 --> 00:18:34,340
+تبعيتنا بنعرف أنه تدخين طب شو دخل سوق التخزين؟ ال
+
+235
+00:18:34,340 --> 00:18:37,080
+historical data بتقول أن سوق التخزين لها دور في
+
+236
+00:18:37,080 --> 00:18:42,660
+الموضوع لأن هاي في عندي شخص كان بتغذى كويس و شرح
+
+237
+00:18:42,660 --> 00:18:46,660
+في التدخين لكنه لم يصب لكن كل الحالات اللي أصيبت
+
+238
+00:18:46,660 --> 00:18:50,340
+بالإضافة للتدخين كان عندهم سوق تخزين معناته أصبح
+
+239
+00:18:50,340 --> 00:18:55,640
+في عندي role جديد knowledge جديدة، مين بيقيمها؟
+
+240
+00:18:55,640 --> 00:19:01,310
+مين بيقيمها؟الناس المختصين القائمين على الموضوع
+
+241
+00:19:01,310 --> 00:19:04,370
+هذا بدهم ياخدوا يجيبوا يقولوا يا وين ال system
+
+242
+00:19:04,370 --> 00:19:07,310
+اللي بنيته أو وين ال project اللي بنيته هيه ماشي
+
+243
+00:19:07,310 --> 00:19:11,430
+الحال تعالي بروحهم بيجيبوا بعينات حقيقية من الناس
+
+244
+00:19:11,430 --> 00:19:15,990
+المصابة بالمرض هذا و بدرسوا هذا فعليا عنده سوق
+
+245
+00:19:15,990 --> 00:19:18,870
+تغذية حسب الشروق اللي موجود عندنا بياخدوا البيانات
+
+246
+00:19:18,870 --> 00:19:21,790
+و بيعرضوها لل system أنا مابعرفش فال system لما
+
+247
+00:19:21,790 --> 00:19:28,290
+بقول positive هيصابأو negative ال rate هذا هو
+
+248
+00:19:28,290 --> 00:19:31,410
+بمثابة ال evaluation يعني بتجيبوا عينة من البيانات
+
+249
+00:19:31,410 --> 00:19:35,130
+الحقيقية و بعضوها على النظام بعد هيك بصير النظام
+
+250
+00:19:35,130 --> 00:19:37,830
+هذا معتمد بالنسبة لهم ان اوكي والله احنا ممكن
+
+251
+00:19:37,830 --> 00:19:43,190
+نتنبأ ايش باحتمالية الإصابة و ممكن نسعى الآن
+
+252
+00:19:43,190 --> 00:19:47,790
+جاهدين ان نحسن موضوع أنواع الناس بأهمية التغذية و
+
+253
+00:19:47,790 --> 00:19:51,920
+بحيث انهم يتجنبوا موضوع التدخين و هكذاأخر شغلة
+
+254
+00:19:51,920 --> 00:19:55,100
+بتلزمني وطبعا ممكن تكون هي أول شغلة كمان أحيانا
+
+255
+00:19:55,100 --> 00:19:58,660
+عشان أفهم البيانات اللي عندي موضوع ال data أو ال
+
+256
+00:19:58,660 --> 00:20:01,140
+knowledge visualization كيف أظهر ال knowledge؟
+
+257
+00:20:01,140 --> 00:20:04,180
+كلنا بنعرف المقولة اللي بتقول الصورة خير من ألف
+
+258
+00:20:04,180 --> 00:20:09,920
+كلمة الآن لو أنا روحت جبتلك بيانات الطلاب أو جدول
+
+259
+00:20:09,920 --> 00:20:16,620
+الطلاب في مليون record وعلامات الطلاب موجودة هل
+
+260
+00:20:16,620 --> 00:20:22,240
+بتقدر تحصر نسب الطلاب في كل واحديعني مثلا جديش جيد
+
+261
+00:20:22,240 --> 00:20:26,060
+جدا، جديش ممتاز، قوله بقى أعمل تقرير إحصائي، ماشي
+
+262
+00:20:26,060 --> 00:20:29,240
+الحال، بقى التقرير هذا لو كانت فيه عندك Graph أو
+
+263
+00:20:29,240 --> 00:20:34,700
+رسمةأسرع في one site حتى أسرع من الجدول عشان هيك
+
+264
+00:20:34,700 --> 00:20:36,480
+أنت لازم يكون في عندك مقدرة على عمل ال
+
+265
+00:20:36,480 --> 00:20:39,860
+visualization ال if then rule اللي تتكلم فيه
+
+266
+00:20:39,860 --> 00:20:43,660
+زميلنا هان لو كانت نسبة الناس على حالتهم
+
+267
+00:20:43,660 --> 00:20:48,440
+الاجتماعية و كدراسة و كتحصيل سيئ بنسبة 90% فما
+
+268
+00:20:48,440 --> 00:20:53,540
+فوقها ده rule انكتب عشان نفهمه بشكل صحيح if then
+
+269
+00:20:53,540 --> 00:20:58,210
+طب أنا ممكن أروح أعمله as decision treeعشان أقدر
+
+270
+00:20:58,210 --> 00:21:01,410
+أكون كل branch هو لأن نتكلم على فرع واحد فقط فممكن
+
+271
+00:21:01,410 --> 00:21:06,150
+إحنا بحاجة إننا نعمل visualization من
+
+272
+00:21:06,150 --> 00:21:09,090
+أهداف المساق تبعتنا بعد ما اتكلمنا على أوصيف
+
+273
+00:21:09,090 --> 00:21:13,150
+المساق أهداف المساق تبعتنا كانت تالي providing
+
+274
+00:21:13,150 --> 00:21:18,310
+fundamental understanding يزودنا بالفهم الأساسي
+
+275
+00:21:18,310 --> 00:21:23,750
+لمتطلبات ال data mining عشان أقدر أستخرج المعرفة
+
+276
+00:21:23,750 --> 00:21:28,810
+المخفية منفي الـ data أو المخفية في الـ data هاي
+
+277
+00:21:28,810 --> 00:21:36,650
+اتنين نستكشف مع بعض مجموعة من ال data mining tasks
+
+278
+00:21:36,650 --> 00:21:41,230
+عشان أستخرج المعرفة هاي data mining tasks
+
+279
+00:21:41,230 --> 00:21:45,230
+classification classification يعني تصنيف يا شباب
+
+280
+00:21:45,230 --> 00:21:49,930
+لو أنا بدي أشوف في جو يالي زي هذا احنا في فصل
+
+281
+00:21:49,930 --> 00:21:55,650
+الشتاء و بدي أعرف الدنيا هتمطر ولا مش هتمطر تلاحظ؟
+
+282
+00:22:03,800 --> 00:22:10,260
+rainy yes و no إذا ال system بتاعي بده يقول إن
+
+283
+00:22:10,260 --> 00:22:14,740
+الجو ماطر أو غير ماطر فهذه classification إذا بده
+
+284
+00:22:14,740 --> 00:22:18,260
+يقول لي ال stock market أو ال stock price سعر
+
+285
+00:22:18,260 --> 00:22:25,120
+السهم increase
+
+286
+00:22:25,120 --> 00:22:26,000
+or decrease
+
+287
+00:22:29,730 --> 00:22:36,050
+هذه classification طبعا، لكن لو في إنا مسألة تانية
+
+288
+00:22:36,050 --> 00:22:39,730
+شكل الناس أكتبها هان اللي هي ال prediction أو ال
+
+289
+00:22:39,730 --> 00:22:45,250
+regression لما أنا بدي specific value، بدي قيمة،
+
+290
+00:22:45,250 --> 00:22:48,970
+تقولليش السهم بدي يرتفع أو بدي ينخفض، تقوللي جديش
+
+291
+00:22:48,970 --> 00:22:53,250
+قيمة التغيير على السهم هتكون بعد يومين، وأنا بعرف
+
+292
+00:22:53,250 --> 00:22:57,330
+لحالي هو هيرتفع ولا ينخفض، تبقى اللي لاقياش؟للقيمة
+
+293
+00:22:57,330 --> 00:23:00,790
+اللي هتزودني فيها قوللي قداش حجم المطر اللي بده
+
+294
+00:23:00,790 --> 00:23:06,090
+ينزل لما تقوللي صفر هفهم انه مافيش مطر و لما
+
+295
+00:23:06,090 --> 00:23:12,430
+تقوللي انه والله نسبة المطر هتكون 5.45 ميلي متر في
+
+296
+00:23:12,430 --> 00:23:15,470
+اليوم الفلاني معناته انا بفهم انه في مطر ومطر غزير
+
+297
+00:23:15,470 --> 00:23:20,390
+كمان فبالتالي هنا في عندي هانشغلة لها علاقة في الـ
+
+298
+00:23:20,390 --> 00:23:24,110
+Prediction لـ Clustering، لـ Grouping أو تجميع
+
+299
+00:23:24,110 --> 00:23:28,490
+البيانات حسب الخصائص المشتركة طب أنا بدور
+
+300
+00:23:28,490 --> 00:23:31,290
+بالخصائص، الخصائص اللي أنت مستحيل تقدر تطبقها
+
+301
+00:23:31,290 --> 00:23:34,730
+بإيدك أو تشوفها بعينك، و هورجيك خلال مثال عملي
+
+302
+00:23:34,730 --> 00:23:38,030
+لاحقا إن شاء الله تعالى مع بعض هنا في القاعة أو
+
+303
+00:23:38,030 --> 00:23:40,630
+هورجيك إنه فعلا تحس أنه في صعوبة حسب الـ
+
+304
+00:23:40,630 --> 00:23:42,870
+Requirement في الـ Clustering إنك تشتغل عليها
+
+305
+00:23:42,870 --> 00:23:49,210
+Association RulesExtraction ارتباط أو قوانين
+
+306
+00:23:49,210 --> 00:23:53,430
+الارتباط بين الأشياء في ال supermarket؟ شو علاقة
+
+307
+00:23:53,430 --> 00:24:00,850
+علب السجائر بالجهوة بالشاي بالمشروبات الساخنة؟ هل
+
+308
+00:24:00,850 --> 00:24:04,630
+في علاقة ما بين حفظات الأطفال والحليب والبودرة
+
+309
+00:24:04,630 --> 00:24:08,620
+والشغلات هذه ولا لأ؟الناس اللي عادة بتروح بتدور
+
+310
+00:24:08,620 --> 00:24:13,260
+مثلا تشتري الشوكولات السائلة والزينة ومش عارفاش
+
+311
+00:24:13,260 --> 00:24:16,380
+أكيد بتدور على لو طحين عشان تشتغل أو الدقيقة عشان
+
+312
+00:24:16,380 --> 00:24:20,800
+تعمل cake فهذه المعاملات الإرتباط مش بسهولة أنا
+
+313
+00:24:20,800 --> 00:24:24,320
+أقدر أتعرف عليها و أشوفها وبالتالي أنا بحاجة ل
+
+314
+00:24:24,320 --> 00:24:29,990
+association أخطر من هيكحالات ظهور مرض معين إذا
+
+315
+00:24:29,990 --> 00:24:33,910
+اتوفر الظرف واحد اتنين تلاتة معناته في المرض هذا
+
+316
+00:24:33,910 --> 00:24:36,810
+ممكن يظهر وهيك بيصير قيمة ال association rule تبعي
+
+317
+00:24:36,810 --> 00:24:41,150
+أكثر جدية من الأمور السابقة ال outlier detection
+
+318
+00:24:41,150 --> 00:24:46,450
+تحديد الحالات الشاذة في البيئة اللي أنا بقى أشتغل
+
+319
+00:24:46,450 --> 00:24:53,130
+عليها يعني بيجي يقولك والله فلانماشاء الله عليه
+
+320
+00:24:53,130 --> 00:24:56,330
+الراجل مجتهد على تربية أولاده و البيت ما شاء الله
+
+321
+00:24:56,330 --> 00:25:01,330
+و أهل بيته كذلك لكن عنده ولد أعوذ بالله شاذ بعيد
+
+322
+00:25:01,330 --> 00:25:04,950
+عنهم مختلف عنهم تماما تقول مش منهم يا راجل ولا لأ
+
+323
+00:25:04,950 --> 00:25:09,190
+هذا بمصطلح للبصيف اللي .. بنقول عنه out layer
+
+324
+00:25:09,190 --> 00:25:15,650
+مختلف نجد نتكلم أن والله أن ثمر تبعي في شجرة معينة
+
+325
+00:25:15,650 --> 00:25:20,950
+شجرة التفاح أو .. بلاش عند مزرعة التفاح و بقى تعب
+
+326
+00:25:20,950 --> 00:25:26,210
+عليهم كلهمبأرويهم نفس الراي و نفس الموعد و نفس
+
+327
+00:25:26,210 --> 00:25:31,410
+الكمية إيش محتاجين علاج أو مضادات أو تغذية بشتغل
+
+328
+00:25:31,410 --> 00:25:37,250
+عليهم كل ياتهم إلا غير إنه في شجرة في المزرعة حبها
+
+329
+00:25:37,250 --> 00:25:44,630
+مش نافع، بدي أخلعها و أرميها؟ أنت قد تحتاج إنك
+
+330
+00:25:44,630 --> 00:25:50,440
+تخلعها عشان ما تنحسبش عليكفي الآخر أبضلش هذا طب
+
+331
+00:25:50,440 --> 00:25:56,880
+الآن هل في سبب معين واضح للشدود؟ genetic وبالتالي
+
+332
+00:25:56,880 --> 00:26:01,360
+أنا ممكن أصير أدور طب ما هم كلهم مزرعين في نفس
+
+333
+00:26:01,360 --> 00:26:05,200
+الأرض فرجت مثلا في الأربعة متر high ممكن على جولة
+
+334
+00:26:05,200 --> 00:26:09,560
+أهلنا وختيريتنا الأرض بالشبربصبوط كلامك ممكن تفرق
+
+335
+00:26:09,560 --> 00:26:13,380
+الأمور لكن في الآخر بتضال مش من ضمن السياق اللي
+
+336
+00:26:13,380 --> 00:26:17,840
+احنا بنتكلم عليه الآن أخطر من هيك يا شباب عادة انا
+
+337
+00:26:17,840 --> 00:26:22,800
+عندي server .. عندي server بقدم خدمة تسديل الطلاب
+
+338
+00:26:22,800 --> 00:26:26,900
+للجامعة عادي و ال traffic اللي عليه انا متوقع انه
+
+339
+00:26:26,900 --> 00:26:30,660
+يجيني مثلا خلال الدقيقة 100 connection ألف
+
+340
+00:26:30,660 --> 00:26:36,280
+connection في لحظة من اللحظات اجاني مليون request
+
+341
+00:26:36,280 --> 00:26:36,940
+ل connections
+
+342
+00:26:39,880 --> 00:26:42,280
+أها يعني صار في عندي attack صار في عندي إيش
+
+343
+00:26:42,280 --> 00:26:46,400
+outlier فلازم يكون لازم يكون في عندي قدرة على
+
+344
+00:26:46,400 --> 00:26:49,520
+تحديد ال outlier هذا وإيش أسبابه هنجيها بالتفصيل
+
+345
+00:26:49,520 --> 00:26:53,680
+في حينها practicing data mining project phases
+
+346
+00:26:53,680 --> 00:26:57,460
+تجرب و تطبق فعليا ال faces كلها ياتا هاي
+
+347
+00:26:57,460 --> 00:27:04,640
+presenting تعرض ال data سواء كانت في ال early
+
+348
+00:27:04,640 --> 00:27:09,500
+stage قبل العملأو كانت الـ knowledge في نهاية الـ
+
+349
+00:27:09,500 --> 00:27:15,660
+project اللي موجود عندى نزوذ الطلبة قدر المستطاع
+
+350
+00:27:15,660 --> 00:27:21,320
+بآخر المواضيع المتعلقة في ال data mining طبعا
+
+351
+00:27:21,320 --> 00:27:24,660
+هيكون فيك جهد منها على المواضيع هذه معانا ان شاء
+
+352
+00:27:24,660 --> 00:27:27,000
+الله تعالى نحاول نقوى
+
+353
+00:27:29,920 --> 00:27:34,120
+العمل الجماعي ما بينكم وغالباً هشكلكوا لمجموعات ان
+
+354
+00:27:34,120 --> 00:27:37,940
+شاء الله الفصل هذا طيب ال outcome مخرجات المساق
+
+355
+00:27:37,940 --> 00:27:41,740
+أنا بتتوقع بعد نهاية المساق أنك تكون قادر على
+
+356
+00:27:41,740 --> 00:27:45,620
+تعريف ال data mining توصف البيانات المناسبة لل
+
+357
+00:27:45,620 --> 00:27:50,620
+project في ال data mining تعرف على الأقل خمسة من
+
+358
+00:27:50,620 --> 00:27:55,380
+ال data mining task وكل واحدة أشهر بتساويcollect
+
+359
+00:27:55,380 --> 00:27:58,760
+and prepare تكون قادرة على الجمع وتجهيز البيانات
+
+360
+00:27:58,760 --> 00:28:04,800
+لأي data mining project هتتعرف
+
+361
+00:28:04,800 --> 00:28:11,240
+وتستخدم ال machine learning algorithms عشان تنفذ
+
+362
+00:28:11,240 --> 00:28:17,270
+ال data mining tasks المختلفةاتحلل و تبني data
+
+363
+00:28:17,270 --> 00:28:22,450
+mining project سواء كنت بشكل مستقل، منفرد أو ضمن
+
+364
+00:28:22,450 --> 00:28:28,170
+فريق، سواء كنت عضو في الفريق أو قائد الفريق تتبنى
+
+365
+00:28:28,170 --> 00:28:31,910
+أخلاقيات المهنة في محافظة على خصوصية الناس في
+
+366
+00:28:31,910 --> 00:28:35,450
+المعلومات لأنه لما احنا بنروح و بنتكلم على بيانات
+
+367
+00:28:35,450 --> 00:28:39,030
+صحية أو بيانات اجتماعية أو بيانات أو بيانات بمعنى
+
+368
+00:28:39,030 --> 00:28:44,350
+ان في عندنا privacy لازم ينتهيشتحلّى بالأخلاق
+
+369
+00:28:44,350 --> 00:28:52,090
+الحميدة وتحافظ على خصوصية الناس يعنى textbook
+
+370
+00:28:52,090 --> 00:28:56,830
+data mining concepts and techniques النسخة الرابعة
+
+371
+00:28:56,830 --> 00:29:02,070
+2017 من Elsevier كذلك في عندى ال data mining ال
+
+372
+00:29:02,070 --> 00:29:05,770
+reference book طبعا هدولة هم الأساسي اللى .. لكن
+
+373
+00:29:05,770 --> 00:29:08,190
+هتلاقي في ال references عندى حوالى سبعة أو تمانية
+
+374
+00:29:08,190 --> 00:29:12,010
+كتب هتكون مقطاط عندك على ال model لأنه هدى عدت في
+
+375
+00:29:12,010 --> 00:29:16,900
+التحضيربتنقل ما بين الكتب الـ Data Mining Practice
+
+376
+00:29:16,900 --> 00:29:20,840
+Machine Learning Tools and Techniques في 2016 قد
+
+377
+00:29:20,840 --> 00:29:24,020
+قريباً هدول أحدث الـ Virgin اللي مباشرة بتكلموا في
+
+378
+00:29:24,020 --> 00:29:27,460
+الـ Data Mining في 2018 و2019 بتكلموا في الـ Data
+
+379
+00:29:27,460 --> 00:29:30,860
+Science بس بياخدونا في ال trend شوية يعني مختلف ما
+
+380
+00:29:30,860 --> 00:29:35,560
+قبل الـ Structured Data الآن إيش المواضيع اللي
+
+381
+00:29:35,560 --> 00:29:40,640
+بدنا نغطيها؟ هنغطي مجموعة من العنوين أو المواضيع
+
+382
+00:29:40,640 --> 00:29:45,150
+نجتهد توزيعها على الأسابيعطبعاً زي ما أقول مافيش
+
+383
+00:29:45,150 --> 00:29:50,630
+إشي مقدس لكن هنحاول نحتفظ فيها أو نلتزم فيها قدر
+
+384
+00:29:50,630 --> 00:29:54,070
+المستطاع تقريباً بدنا أسبوع عشان نخلص ال
+
+385
+00:29:54,070 --> 00:29:55,910
+introduction يعني مسبوع يعني محاضرة تانية يا شباب
+
+386
+00:29:55,910 --> 00:29:58,750
+محاضرة ومحاضرة الجاية المفروض ان ال introduction
+
+387
+00:29:58,750 --> 00:30:03,570
+تكون انتهت بعد هيك هنتكلم على ال data
+
+388
+00:30:03,570 --> 00:30:06,470
+understanding and data preparation وهنا تقريبا
+
+389
+00:30:06,470 --> 00:30:12,250
+هناخد أسبوعين ممكن أكتر شويةلكن هاي المبدأ إذا أنا
+
+390
+00:30:12,250 --> 00:30:15,790
+حضرت ال data وفهمتها كويس أو فهمتها كويس وحضرتها
+
+391
+00:30:15,790 --> 00:30:19,670
+بما يلغ لل task تبعتي هنبدأ نتكلم على knowledge
+
+392
+00:30:19,670 --> 00:30:22,030
+extraction باعتمادنا على ال machine learning
+
+393
+00:30:22,030 --> 00:30:25,430
+algorithm وزي ما قلنا ال task تبعتنا خمسة
+
+394
+00:30:26,620 --> 00:30:28,460
+classification, regression, clustering,
+
+395
+00:30:28,680 --> 00:30:32,800
+association rules و outlier detection لأن كل واحدة
+
+396
+00:30:32,800 --> 00:30:36,120
+فيهم لها different metrics evaluation metrics
+
+397
+00:30:36,120 --> 00:30:41,360
+فهنشرح two algorithms او واحد حسب كيف تمشي معانا
+
+398
+00:30:41,360 --> 00:30:46,200
+الأمور بحيث نثبت ال concept وهنا بيلزمك تكون ال
+
+399
+00:30:46,200 --> 00:30:50,080
+calculator تبعتك معاك لأن في مسائل حسابية بدها حل
+
+400
+00:30:50,080 --> 00:30:54,530
+فلازم تكون ال calculator معاك باستمرارتمام؟ يعني
+
+401
+00:30:54,530 --> 00:30:57,350
+ما تتعودش تجينا هيك باشا زي في الجيبة هذه الجوال
+
+402
+00:30:57,350 --> 00:31:00,430
+في الجيبة التانية بتحط بال calculator عشان ما
+
+403
+00:31:00,430 --> 00:31:05,750
+تقعدش تشحت من دي زمالك زي ما اتكلمنا عفوا قبل شوية
+
+404
+00:31:05,750 --> 00:31:11,170
+classification regression ال classification قل لي
+
+405
+00:31:11,170 --> 00:31:16,910
+هو بيتبع أي فئة من الفئات اللي موجودة عندى إيش
+
+406
+00:31:16,910 --> 00:31:21,340
+تصنيفه؟ بس التصنيفات هذه already معروفةيعني باجي
+
+407
+00:31:21,340 --> 00:31:25,260
+بقول إن والله أنا الطلاب يصنفوا في الجامعة مابين
+
+408
+00:31:25,260 --> 00:31:30,880
+راسب الله يبعدكوا عنه يا رب ومقبول كذلك جيد جيد
+
+409
+00:31:30,880 --> 00:31:34,960
+جدا وممتاز في عندي خمس تصنيفات لتقييم .. لا عفوا
+
+410
+00:31:34,960 --> 00:31:40,280
+للمستوى الطالب في حد بتكلم على ستة مافيش في حد
+
+411
+00:31:40,280 --> 00:31:44,000
+بتكلم على سبعة على خمسة طيب لا مافيش هم خمس
+
+412
+00:31:44,000 --> 00:31:49,200
+تصنيفات فأنا بعرف التصنيفات مسبقاباجي بتكلم مثلا
+
+413
+00:31:49,200 --> 00:32:01,440
+عن الفقاريات الفقاريات تصنف ثدييات .. تمام؟ زواحف
+
+414
+00:32:01,440 --> 00:32:09,960
+فقاريات وطيور .. تمام؟ الآن الزواحف
+
+415
+00:32:11,480 --> 00:32:14,520
+ذوات الدم بارد وذوات الدم حار هذه التصنيفات
+
+416
+00:32:14,520 --> 00:32:19,340
+already معروفة وانت مش عفوا لازم تكون خبير في
+
+417
+00:32:19,340 --> 00:32:24,360
+المجال عشان تحط تصنيف جديد دوري أنا .. دوري أنا
+
+418
+00:32:24,360 --> 00:32:30,780
+أشوف كيف ممكن أنا أعمل أو أبني model يقدر يتنبأ
+
+419
+00:32:30,780 --> 00:32:36,500
+بال class أو بالتصنيف الصح بناء على ال condition
+
+420
+00:32:36,500 --> 00:32:41,250
+معين يعني عادةإن شاء الله كلكم بتجربوها عن قريب
+
+421
+00:32:41,250 --> 00:32:45,030
+العذبية طبعا فيكوا لما بدك تروح تتزوج صار بيقولك
+
+422
+00:32:45,030 --> 00:32:51,870
+روح هتلي فحص للثلاثيمية، أصبت؟ عشان يتجنب إن المرض
+
+423
+00:32:51,870 --> 00:32:57,870
+هذا ينتشر طيب، المرض هذا أساساً فيه تلت تصنيفات أو
+
+424
+00:32:57,870 --> 00:33:01,670
+أربعة حتى
+
+425
+00:33:01,670 --> 00:33:05,470
+من المصاب كمان فيه له grades معينة، تمام؟ في
+
+426
+00:33:05,470 --> 00:33:10,690
+الآخر، في الآخر، الآن أنا ممكن أجتهدوأعمل برنامج
+
+427
+00:33:10,690 --> 00:33:14,430
+بناءً على ال data وحالات المصابين بالثلاثين أو كذا
+
+428
+00:33:14,430 --> 00:33:18,570
+إن أقول والله ممكن التغلب على المرض هذا مثلا بعد
+
+429
+00:33:18,570 --> 00:33:22,810
+أربع سنوات أو عشر سنوات من ناحية ورثية لو الناس
+
+430
+00:33:22,810 --> 00:33:28,010
+هدول اتبعوا نظام معين هذا الكلام عفوا مش هبل ولا
+
+431
+00:33:28,010 --> 00:33:33,230
+طالع من الخيال هو عبارة عن نابع عن دراسة تحليل
+
+432
+00:33:33,230 --> 00:33:38,250
+معمق لل data اللي موجودة عندىأنا كـ human مش هقدر
+
+433
+00:33:38,250 --> 00:33:41,570
+أحلل البيانات هذه بالمضمق البسيط فمحتاج لـ Machine
+
+434
+00:33:41,570 --> 00:33:46,650
+Learning Algorithm هي يتحلل و تديني decision لأن
+
+435
+00:33:46,650 --> 00:33:50,450
+جداش الناس بتعاني في العالم و احنا نفن أكتر منهم
+
+436
+00:33:50,450 --> 00:33:56,070
+في تشخيص الأمراض جداش بتسمع بلاش في مجتمعنا في غزة
+
+437
+00:33:56,070 --> 00:33:58,930
+يقولك والله فلان هو أو ابنه أو أي حد الله يعافي
+
+438
+00:33:58,930 --> 00:34:02,170
+جميع المسلمين أن هو مريض ومش قادرين يشخصوا إيش
+
+439
+00:34:02,170 --> 00:34:11,140
+ماله طب مع إن الأعراضمعروفة وغالبا تحصر القلق ممكن
+
+440
+00:34:11,140 --> 00:34:15,020
+يكون في عندي expert system أروح أدخله الأعراض
+
+441
+00:34:15,020 --> 00:34:20,200
+بالإضافة لوصف ال character هذا الإنسان عمره ووزنه
+
+442
+00:34:20,200 --> 00:34:23,720
+طبيعة غذائه يعني أبدأ أجمع معلومات عن الشخص هذا و
+
+443
+00:34:23,720 --> 00:34:26,560
+ال system يقوللي هذا غالبا مكون مصاب بكذا أو كذا
+
+444
+00:34:26,560 --> 00:34:31,130
+أو كذا ممكن بقولش أن هذا مش هيخطئبس النظام هذا إذا
+
+445
+00:34:31,130 --> 00:34:36,410
+جدر يشخصلي خمسين في المية من الحالات، تشخيص صح،
+
+446
+00:34:36,410 --> 00:34:39,850
+خمسين في المية من الحالات اللي أنا مش جادر أشخصها،
+
+447
+00:34:39,850 --> 00:34:47,070
+هذا إنجاز، هذا ال risk اللي احنا قلنا قبل شوية
+
+448
+00:34:47,070 --> 00:34:51,590
+فيها مخاطرة في التنقيب، ما هو أنت الآن جدشت تبعك
+
+449
+00:34:51,590 --> 00:34:52,530
+ال system بيكون reliable
+
+450
+00:34:55,350 --> 00:35:03,270
+شوف، أنا ممكن أرفض نظام بيديني 95% accuracy، دقة،
+
+451
+00:35:03,270 --> 00:35:05,750
+في الأمور الصحية، في الـ critical، لكن أنا قاعد
+
+452
+00:35:05,750 --> 00:35:10,230
+بقولك إن الأعراض هيها، والتشخيص، إحنا ك human مش
+
+453
+00:35:10,230 --> 00:35:13,770
+قادرين نشخص، عشان هيك أنا حصرتك في المجال إنه
+
+454
+00:35:13,770 --> 00:35:17,730
+complete benefitراح فعليا قدر يشخصني تشخيص صحيح بـ
+
+455
+00:35:17,730 --> 00:35:21,370
+50% من الأعراض اللي موجودة هاي طب تقولي أنت شخصته
+
+456
+00:35:21,370 --> 00:35:24,630
+غلط ومات طب أنت مش قادر تشخصه وغالبا هتشخصه غلط
+
+457
+00:35:24,630 --> 00:35:29,750
+فما تحملش ال system ما لا يطيقك زي ما أقوله مع أنه
+
+458
+00:35:29,750 --> 00:35:32,530
+أنا بقولك بستهينش بحياة البشر لأ لازم أشتغل و
+
+459
+00:35:32,530 --> 00:35:37,790
+أجتهد أنه تكون الأمور تمام زي ما قولنا regression
+
+460
+00:35:37,790 --> 00:35:43,220
+اتنبأ بقيمة value real valueclustering جسم
+
+461
+00:35:43,220 --> 00:35:47,560
+لمجموعات اروح اقول والله جسم الطلاب لتلت مجموعات
+
+462
+00:35:47,560 --> 00:35:53,700
+هيكوا في القاعة تلت مجموعات يا شباب في الآخر اسمك
+
+463
+00:35:53,700 --> 00:35:57,940
+عبدالله لو قلتلك جسم الطلاب لتلت مجموعات في القاعة
+
+464
+00:35:57,940 --> 00:36:01,620
+تلت
+
+465
+00:36:01,620 --> 00:36:05,260
+مجموعات اهدوا يا شباب على السريع عبدالله ايوة
+
+466
+00:36:08,540 --> 00:36:11,060
+ممتاز، مع إنه مش موجود الكلام اللي أنت موجود فيه
+
+467
+00:36:11,060 --> 00:36:14,120
+بينما لو قلتله ميمنا أو ميسر أو قلب كان ضبطه معاك
+
+468
+00:36:14,120 --> 00:36:17,840
+100% لاحظ أنه أنا ماتكلمتش معاك على
+
+469
+00:36:17,840 --> 00:36:23,600
+characteristics قلتلك كل بس كان طلبي منك جسملياهم
+
+470
+00:36:23,600 --> 00:36:27,360
+كمجموعات ماتحكمل فيك في عدد عفوا كان .. قداش ..
+
+471
+00:36:27,360 --> 00:36:30,200
+عفوا .. لما قلتلك تلت مجعات أنا طلبت العدد هذا بس
+
+472
+00:36:30,200 --> 00:36:34,720
+ماقلتلك كم واحد في جلب المجموعة، مصبوط؟ لكن أنت
+
+473
+00:36:34,720 --> 00:36:40,750
+ممكن تيش تقولي والله هاي واحد كمانتنين وهي تلاتة،
+
+474
+00:36:40,750 --> 00:36:43,550
+طب ليش اعملت هيك يا عبد الله؟ عشان أضمن توازن
+
+475
+00:36:43,550 --> 00:36:46,750
+أعداد في الأشخاص اللي موجودين، ممكن يقول آه والله
+
+476
+00:36:46,750 --> 00:36:50,430
+لا دكتور أنا بدي أصنفهم شكل مختلف، أنا بدي أروح
+
+477
+00:36:50,430 --> 00:36:57,370
+أستخدم معدلاتهم التراكمية اللي تحت الـ75بين 75 لـ
+
+478
+00:36:57,370 --> 00:37:00,830
+90 واللي فوق الـ 90، هاي تلات مجموعات لاحظ ماحدش
+
+479
+00:37:00,830 --> 00:37:03,070
+في الدنيا بالسجل يقولك تصنيف الغلط أو تقسم ..
+
+480
+00:37:03,070 --> 00:37:06,730
+برنامج تقسيمك طالما في عندك justification قوية،
+
+481
+00:37:06,730 --> 00:37:11,670
+ليش أنت قسمت هيك؟ الأحيان إحنا بنعجز عن نشوف الـ
+
+482
+00:37:11,670 --> 00:37:14,910
+common properties في ال data set تخيل data set
+
+483
+00:37:14,910 --> 00:37:19,370
+فيها 100 attributes و مليون record، إيش ال common
+
+484
+00:37:19,370 --> 00:37:24,030
+اللي بينهم؟عارفش فبقول لل system أشغل نيابة عني
+
+485
+00:37:24,030 --> 00:37:29,110
+قسملي إياهم لتلت مجموعات فببدأ يروح يدرس الخصائص و
+
+486
+00:37:29,110 --> 00:37:33,630
+بقسملك إياهم كذلك في ال association rules سواء
+
+487
+00:37:33,630 --> 00:37:36,410
+كانت في الأمراض في ال marketing إلى آخره وال
+
+488
+00:37:36,410 --> 00:37:41,350
+outlier detection بعد هيكد لسبوع تلت عشر هنبدأ في
+
+489
+00:37:41,350 --> 00:37:45,900
+ال data visualizationوال knowledge presentation 14
+
+490
+00:37:45,900 --> 00:37:50,560
+و 15 ال 14 هيكون نتناول موضوع من الموضوع الجديد ان
+
+491
+00:37:50,560 --> 00:37:53,880
+شاء الله تعالى و ال 15 هيكون في عندنا project
+
+492
+00:37:53,880 --> 00:37:57,560
+presentation and discussion ان شاء الله تعالى
+
+493
+00:37:57,560 --> 00:38:05,560
+هيتعلق مسابقين تبعين طبيعي هعلمك تجلجش هعلمك بما
+
+494
+00:38:05,560 --> 00:38:12,550
+يمشيلك المسابق ليش أنا جاي؟ ان شاء الله تعالىطيب،
+
+495
+00:38:12,550 --> 00:38:18,530
+الآن اسلوبنا في التدريس هيكون كالتالي محاضرة،
+
+496
+00:38:18,530 --> 00:38:23,330
+مجموعة نقاش، عمل جماعي وبعض الفيديوهات والـ
+
+497
+00:38:23,330 --> 00:38:26,390
+presentation اللي هزودك فيها وممكن نعرض شغلة
+
+498
+00:38:26,390 --> 00:38:29,390
+ونتناقش فيها مع بعض حسب التفكير يعني شوية شوية
+
+499
+00:38:29,390 --> 00:38:34,250
+هتكون الأمور هتختلف المادة عن database اتنين لأنه
+
+500
+00:38:34,250 --> 00:38:37,090
+فعليا المادة مختلفة فيها ممكن تكون في interaction
+
+501
+00:38:37,090 --> 00:38:41,870
+بين أو بينك بشكل كبيراللي أنتوا بتدوروا عليه من
+
+502
+00:38:41,870 --> 00:38:47,350
+ساعة توزيع العلمات عشر علامات quizات و assignment
+
+503
+00:38:47,350 --> 00:38:53,390
+عشرة على مشاركة في نشاطة المساقى خلال الفصل إيش
+
+504
+00:38:53,390 --> 00:38:56,170
+المشاركة؟ discussion لأن ممكن تكون فيه علامات
+
+505
+00:38:56,170 --> 00:39:01,590
+وفلان طبعا هذه الأعشرة بالذات أنت فيهم صفر إلا لما
+
+506
+00:39:01,590 --> 00:39:07,210
+تشارك يعني مثلا إيش اسم اللي بجنبك عليه؟برضه علي؟
+
+507
+00:39:07,210 --> 00:39:12,270
+علي تربيع ولا علي اتنين؟ الان علي قرر انك بتبقى
+
+508
+00:39:12,270 --> 00:39:16,870
+يلعب في الجوال قول المحاضرة مش مشكلة فلازم تشاركني
+
+509
+00:39:16,870 --> 00:39:20,850
+في المحاضرة عشان يسجلك ان فعلي فلان ناشيق المحاضرة
+
+510
+00:39:20,850 --> 00:39:24,090
+هاي فلان نايم فلان ناسان فلان مشغول المحاضرة اللي
+
+511
+00:39:24,090 --> 00:39:26,990
+بتغيب فيها العذر أنا سامحك فيها في المناقشة وإذا
+
+512
+00:39:26,990 --> 00:39:29,150
+قررتي تغيب كتير هسحبلك المادة
+
+513
+00:39:33,110 --> 00:39:37,670
+مصبوط؟ عشرين في المية او عشرين علامة على ال
+
+514
+00:39:37,670 --> 00:39:43,450
+midterm عشرين علامة على final project وهذا غالبا
+
+515
+00:39:43,450 --> 00:39:46,310
+هتكون فيه تلتات او مجموعات يعني حاجة simple فيه مش
+
+516
+00:39:46,310 --> 00:39:50,550
+هتكون لوحدك واربعين في المية امتحان نهائي توزيع
+
+517
+00:39:50,550 --> 00:39:53,670
+بسيطة وسهلة يعني ممكن تروح على ال final عارف
+
+518
+00:39:53,670 --> 00:39:57,750
+بالظبط وتقدش كام علامة لك عندي وكم واحدة عشان تجيب
+
+519
+00:39:57,750 --> 00:40:03,320
+امتيازاللي بيلزبك .. كم واحد بعرف Python فيكوا
+
+520
+00:40:03,320 --> 00:40:06,960
+الشباب؟ ولا واحد .. هاي في واحد .. كويس الله يجبر
+
+521
+00:40:06,960 --> 00:40:11,660
+خاطرك فرصة تتعلم شغلة جديدة بس هذه حتكون لوحدك ال
+
+522
+00:40:11,660 --> 00:40:15,160
+Java مابتخدمناش كتير في ال .. في ال data mining
+
+523
+00:40:15,160 --> 00:40:18,660
+وإن كان ال Python هي ال trend ممكن تلاقي بس حتتغلب
+
+524
+00:40:18,660 --> 00:40:25,500
+.. حت .. لأ ماعنديش مشكلة تعرف ال SQL؟ عشي
+
+525
+00:40:28,920 --> 00:40:32,220
+هنتعرف كذلك، بيلزم نتعامل مع الـ Rapid Miner أنتم
+
+526
+00:40:32,220 --> 00:40:35,560
+ملاحظين إن المادة مافيش معاها عمل أي شباب فإنت
+
+527
+00:40:35,560 --> 00:40:42,820
+معيد العملي تبع المادة، مش أنا، أنت وبدأ المناسبة،
+
+528
+00:40:42,820 --> 00:40:47,340
+احنا أخدنا قرار في الكلية كل مستوى تالت من السنة،
+
+529
+00:40:47,340 --> 00:40:50,620
+عفوا، الرابع، من السنة الجاية، من الخطة الجديدة،
+
+530
+00:40:50,620 --> 00:40:55,490
+مافيش عمليوتالت قلصنا العملي قدر المستطاع لأنه أنت
+
+531
+00:40:55,490 --> 00:40:58,150
+اللي المفروض تكون معيد بالسنة اللي بعديها فخلصنا
+
+532
+00:40:58,150 --> 00:41:02,570
+يعني ابدا اشتغل اتعب لأ مش السنة اللي جاية هي لسه
+
+533
+00:41:02,570 --> 00:41:07,610
+عندها الخط القديمة شغال متطلبات المساق متطلبات
+
+534
+00:41:07,610 --> 00:41:10,010
+المساق حضورك إجبار يا صاحب مافيش علي علامات
+
+535
+00:41:10,010 --> 00:41:14,410
+علاماتك على نشاطك أنت جيت و تقعد هنا عشان تتنشط
+
+536
+00:41:14,410 --> 00:41:18,010
+معانا و ناخد و نعطي مع بعض فبنسجلك علامات مش عشان
+
+537
+00:41:18,010 --> 00:41:25,050
+حضوركتمام؟ 25% الشباب غياب هذا قانون الجامعة مافيش
+
+538
+00:41:25,050 --> 00:41:29,870
+موعد مسبق لل quiz دربت
+
+539
+00:41:29,870 --> 00:41:33,770
+معاكم على وجوه الكريمة الطيبة جامل هيك وانا لا ..
+
+540
+00:41:33,770 --> 00:41:37,850
+ماعش الحال بس مافيش موعد .. مافيش موعد مسبق لل
+
+541
+00:41:37,850 --> 00:41:42,460
+quizومافيش أي عذر ما ترجعنيش في quiz انت غيبت عن
+
+542
+00:41:42,460 --> 00:41:45,580
+محاضرته انه ماكنش معايا خبر يا دكتور وانا بقولك
+
+543
+00:41:45,580 --> 00:41:49,620
+مافيش quiz ذات الله يمن عليك بتمام الصحة و العافية
+
+544
+00:41:49,620 --> 00:41:54,320
+انت و والدك و كل أحبابك و يمن عليك و بالرزق الوفير
+
+545
+00:41:54,320 --> 00:41:58,600
+تمام؟ و تجيني كل محاضرة على البدري على موعدها عشان
+
+546
+00:41:58,600 --> 00:42:02,740
+ما تغيبش لأن هذه الأمور اللي ممكن تمنعك لتيجي يعني
+
+547
+00:42:02,740 --> 00:42:08,660
+طيب عادة بالزمن هان اتراجع باستمرارلأن التقييم
+
+548
+00:42:08,660 --> 00:42:11,200
+هيكون مختلف عن العوام الماضية أو عن ما انت عهدته
+
+549
+00:42:11,200 --> 00:42:14,800
+سابقا جوالك
+
+550
+00:42:14,800 --> 00:42:17,480
+على الأقل يكون صامت خصوصا انه قاعتنا هي في اللي
+
+551
+00:42:17,480 --> 00:42:21,460
+احنا عاملا بنسجل ال video و بنسجل المحاضرة و
+
+552
+00:42:21,460 --> 00:42:25,200
+بالتالي يعني يكفيني صوتي و صوتك هو اللي يكونوا
+
+553
+00:42:25,200 --> 00:42:31,700
+موجودين صوت جوالاتنا مافيش داعي لحكمة الفصل أو
+
+554
+00:42:31,700 --> 00:42:38,410
+السنة هاي استمتع بحياة قدر المستطاع تمام؟و لا تنسى
+
+555
+00:42:38,410 --> 00:42:42,670
+نصيبك من الدنيا و أحسن كما أحسن الله إليك كمل
+
+556
+00:42:42,670 --> 00:42:47,310
+الآية بس إحنا اتعودنا ناخد ال .. إيه؟ ال .. إيه؟
+
+557
+00:42:47,310 --> 00:42:47,630
+ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال ..
+
+558
+00:42:47,630 --> 00:42:48,470
+إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟
+
+559
+00:42:48,470 --> 00:42:50,130
+ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال ..
+
+560
+00:42:50,130 --> 00:42:51,550
+إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟
+
+561
+00:42:51,550 --> 00:42:53,190
+ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال ..
+
+562
+00:42:53,190 --> 00:42:56,990
+إيه؟ ال .. إيه؟ ال .. إيه؟ ال .. إيه؟ ال ..
+
+563
+00:42:56,990 --> 00:42:59,510
+إيه؟ ال ..
+
+564
+00:43:07,660 --> 00:43:11,920
+تمام؟ حتى كثير من أهل الدين بت .. اللي بيقولوا إن
+
+565
+00:43:11,920 --> 00:43:16,900
+حياتك أو أقدارك صنعوا يديك يقال إن يوسف عليه
+
+566
+00:43:16,900 --> 00:43:21,100
+السلام لما طال عليه السجن قال يا ربي طال .. طال
+
+567
+00:43:21,100 --> 00:43:28,680
+السجن اه قال لو سألت العفوة لعفينك و قال ربي السجن
+
+568
+00:43:28,680 --> 00:43:32,970
+و أحبه إليا مما .. ماقالش ربي اصرف عنك ايه دهونوهو
+
+569
+00:43:32,970 --> 00:43:35,770
+قدم السجن عن طلب الله الرحمن فاخد معينة له
+
+570
+00:43:35,770 --> 00:43:39,910
+وبالتالي انت بيه لا لفظك ولا نيتك انت وين بتكون
+
+571
+00:43:39,910 --> 00:43:44,770
+طبعا هاي الدرس في التنمية البشرية، كمل؟ يللا، الآن
+
+572
+00:43:44,770 --> 00:43:50,110
+بيظنك تصبر لإنه مش كلش على كيفك، وبدك تتعدي في
+
+573
+00:43:50,110 --> 00:43:52,890
+المساق هذا وفي الحياة كلها يتهك، المساق مش ممكن
+
+574
+00:43:52,890 --> 00:43:56,170
+يجي ع كيفك دائما، ولا مدرس المساق، ولا علامات
+
+575
+00:43:56,170 --> 00:43:57,450
+المساق، خلاش راك هاشم
+
+576
+00:44:00,400 --> 00:44:05,460
+لأ، انت شوف، انت بتتمنى، بس انت اجتهدت عشان تحصل
+
+577
+00:44:05,460 --> 00:44:09,700
+عليها في الآخر، يعني قد ممكن تجدها دو ما ترضاش، بس
+
+578
+00:44:09,700 --> 00:44:12,640
+في الآخر هذا أصبح أمر واقعي موجود، فبدها تعدي في
+
+579
+00:44:12,640 --> 00:44:17,040
+الآخر، لازم تصبر كويس، وفي الآخر لازم تتمتع
+
+580
+00:44:17,040 --> 00:44:20,700
+بالجدية، لأن مش كل حياتنا لعوم، عشان تحقق أهدافك،
+
+581
+00:44:20,700 --> 00:44:23,340
+شباب من المساقات الممتعة، اللي ممكن تستفيد منه
+
+582
+00:44:23,340 --> 00:44:28,210
+بشكل كويسانشي اتضيعوا وانشي اتستعلم وانا بحاول
+
+583
+00:44:28,210 --> 00:44:34,870
+اعلمك قدر ما بستطيع ان شاء الله تعالى خلص
+
+584
+00:44:34,870 --> 00:44:40,650
+السلبس هندردش شوية صغيرة كمقدمة كمقدمة عشان ننتهي
+
+585
+00:44:40,650 --> 00:44:45,830
+زي ما انتهينا في المحاضرة السابقة الآن في عندي هرم
+
+586
+00:44:45,830 --> 00:44:50,030
+بيسميه هرم المعلومات او هرم البياناتعادةً إحنا
+
+587
+00:44:50,030 --> 00:44:53,370
+بنتكلم Data Mining ونتكلم Data Base، مظبوط؟ ونتكلم
+
+588
+00:44:53,370 --> 00:44:56,910
+Data Communication، كل شيء Data، مافيش معلومات،
+
+589
+00:44:56,910 --> 00:45:03,250
+لأن الـ Data هذه بيلزمها سياق معين عشان تصير
+
+590
+00:45:03,250 --> 00:45:08,590
+معلومة، بنفعش وإحنا نيجي بنتكلم، بنفكر، عاملين
+
+591
+00:45:08,590 --> 00:45:12,530
+محاضرة أو جلسة حوار عشان شو كيف بدنا نسقط صفقة
+
+592
+00:45:12,530 --> 00:45:19,170
+القرن، نقط واحد يقول لي والله عماد راجل طيب،ويا عز
+
+593
+00:45:19,170 --> 00:45:27,150
+ما تنعزم عنده معلومة data عماد راجل كريم ومقدّم
+
+594
+00:45:27,150 --> 00:45:31,730
+أكل طيب بهمش، شو دخلها في السياق اللي احنا بنتكلم
+
+595
+00:45:31,730 --> 00:45:37,870
+فيه حتى لو كانت معلومة قيمة فقدت قيمتها، ليش؟ مش
+
+596
+00:45:37,870 --> 00:45:42,770
+في المكان الصح فبالتالي إذا ال data هاي اتوفر لها
+
+597
+00:45:42,770 --> 00:45:48,710
+context مناسبمعناته انا بتكلم على information صارت
+
+598
+00:45:48,710 --> 00:45:53,150
+معلومة والمعلومة طبعا بمعناها أو بقيمتها بالوقت أو
+
+599
+00:45:53,150 --> 00:45:59,550
+بالزمان اللي قيلت فيه المعلومات هذه إذا نظمتها
+
+600
+00:45:59,550 --> 00:46:05,490
+rules المعلومات هذه إذا صارت فيه rules بتحكمها و
+
+601
+00:46:05,490 --> 00:46:10,110
+بتطبقها معناته احنا بنتكلم على knowledge أو معرفة
+
+602
+00:46:10,110 --> 00:46:11,270
+الآن
+
+603
+00:46:19,140 --> 00:46:24,660
+بسمع إن الصائم يحق له أن يفطر في رمضان أو المسلم
+
+604
+00:46:24,660 --> 00:46:28,140
+يحق له يفطر في رمضان إيش بتقول يا رادي الصيام فرض
+
+605
+00:46:28,140 --> 00:46:33,900
+.. فرض في شروط هيلاحظ إن كان في عندي معلومة الآن
+
+606
+00:46:33,900 --> 00:46:37,460
+الشروط هذه هي اللي خلتها معرفة لإن المعرفة بتعتمد
+
+607
+00:46:37,460 --> 00:46:40,280
+عليها تطبيق يا جماعة الخير المعرفة بترتب عليها
+
+608
+00:46:40,280 --> 00:46:46,300
+تطبيق على خلاف المعلومة الآن طب مين اللي بيقدر أنت
+
+609
+00:46:46,300 --> 00:46:50,970
+بصحيح أقولك تفطر في رمضان ولا لأ؟إتنين طبيب مسلم
+
+610
+00:46:50,970 --> 00:46:57,050
+حاذق أو شاطر أو أنت لو كنت من أهل التقوى ونكلكوا
+
+611
+00:46:57,050 --> 00:47:00,950
+كذلك إن شاء الله تبارك وتعالى، مصبوط؟ ماينفعش حد
+
+612
+00:47:00,950 --> 00:47:04,590
+تاني يقولك يا زلمة أفطر أنت تعبان، أنت مريض، و
+
+613
+00:47:04,590 --> 00:47:07,990
+الله أدّاك رخصة أنك تفطر في رمضان، صحيح، بس أنت
+
+614
+00:47:07,990 --> 00:47:11,270
+كمان بتقيم نفسك أنا فعليا أهل الرخصة هي ولا لأ؟
+
+615
+00:47:11,990 --> 00:47:14,970
+طبعا هذه الكلام على قدر إيمانك بالله تبارك وتعالى
+
+616
+00:47:14,970 --> 00:47:18,670
+و تقواك إلهم الآن ال knowledge هذه أو المعرفة هذه
+
+617
+00:47:18,670 --> 00:47:24,090
+مع التجارب العملية صارت wisdom صارت حكمة نصينا
+
+618
+00:47:24,090 --> 00:47:28,890
+نقول فلان حكيم ليش؟ عنده معرفة واسعة و عنده تجربة
+
+619
+00:47:28,890 --> 00:47:32,210
+كبيرة في الحياة أو في المجال اللي بيشتغل فيه فهي
+
+620
+00:47:32,210 --> 00:47:42,170
+ال wisdom أعلى درجات المعرفة ومن أوتي الحكمةفقد
+
+621
+00:47:42,170 --> 00:47:49,310
+أوتي خيرا كثيرا طيب data mining ايش ال data mining
+
+622
+00:47:49,310 --> 00:47:54,030
+اولا ال data mining هي عبارة عن equivalent term ل
+
+623
+00:47:54,030 --> 00:48:01,430
+knowledge discovery from data استكشاف المعرفة من
+
+624
+00:48:01,430 --> 00:48:03,350
+البيانات KDD من ال data
+
+625
+00:48:07,360 --> 00:48:14,560
+data mining is extracting an interesting أنا هو
+
+626
+00:48:14,560 --> 00:48:26,580
+أنا بده أحط خط تحت interesting شو
+
+627
+00:48:26,580 --> 00:48:32,720
+يعني interesting ترجم ليها بالعربي مهمش ممتع
+
+628
+00:48:33,370 --> 00:48:40,130
+شيق، مثير، مظبوط؟ كل ال terms هاي بتصف باتجاه واحد
+
+629
+00:48:40,130 --> 00:48:44,990
+إنه أنا ال knowledge اللي أنا بدي أدور عليها لازم
+
+630
+00:48:44,990 --> 00:48:51,710
+يكون لها تأثير الآن بعرفلك مصطلح interesting non
+
+631
+00:48:51,710 --> 00:48:58,230
+-trivial مش تقليدي مش تقليدي يعني فيش شغلة جديدة
+
+632
+00:48:59,370 --> 00:49:03,470
+تمام؟ يعني أقول جديد هذا يعني مش الناس شايفة شبهه
+
+633
+00:49:03,470 --> 00:49:07,550
+emblest
+
+634
+00:49:07,550 --> 00:49:11,830
+هو ضمن في ال data مش أي واحد بتطلع في ال data
+
+635
+00:49:11,830 --> 00:49:15,530
+بيقدر يشوفها طبعا أنا بتكلم على interesting
+
+636
+00:49:15,530 --> 00:49:18,190
+pattern عشان تكتمل الصورة الخطوة اللي المفروض
+
+637
+00:49:18,190 --> 00:49:25,170
+يكونها ان extracting of interesting pattern الان
+
+638
+00:49:25,170 --> 00:49:28,970
+ال interesting pattern هذازي ما قلنا non-trivial
+
+639
+00:49:28,970 --> 00:49:32,470
+غير تقليدي emplaced ضمن في ال data بحتاج إلى جود
+
+640
+00:49:32,470 --> 00:49:35,690
+استخراجه ولا كل الناس صارت هتشتغل مناقبين عن الذهب
+
+641
+00:49:35,690 --> 00:49:44,170
+و تحوش الذهب ولا لا previously unknown ماحدش
+
+642
+00:49:44,170 --> 00:49:46,870
+بيعرفه مسبقا ال knowledge أو ال pattern هذا ماحدش
+
+643
+00:49:46,870 --> 00:49:50,130
+عرضه لأنه إذا حد عرضه سابقا انت قاعد بتكرر شغل
+
+644
+00:49:50,130 --> 00:49:52,690
+الآخرين potentially
+
+645
+00:49:53,870 --> 00:49:58,110
+useful لازم يكون بترتب عليه action لازم يكون فيه
+
+646
+00:49:58,110 --> 00:50:02,130
+مرافعة مابينفعش اروح اقول اللي والله اه اللي ممكن
+
+647
+00:50:02,130 --> 00:50:05,050
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+648
+00:50:05,050 --> 00:50:05,070
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+649
+00:50:05,070 --> 00:50:05,250
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+650
+00:50:05,250 --> 00:50:06,110
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+651
+00:50:06,110 --> 00:50:08,510
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+652
+00:50:08,510 --> 00:50:08,590
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+653
+00:50:08,590 --> 00:50:09,270
+اللي اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+654
+00:50:09,270 --> 00:50:17,950
+اللي اللي اللي اللي اللي اللي اللي اللي اللي
+
+655
+00:50:17,950 --> 00:50:23,280
+الليممتاز، إيش الـ action اللي بتقدر تاخده عليه؟
+
+656
+00:50:23,280 --> 00:50:28,920
+تمنع خصوف القمر أو تزرعش رز فكل الحالتين مستحيلة،
+
+657
+00:50:28,920 --> 00:50:33,620
+هذا useless ما هي كذا، معلومة بتصير زي إيش
+
+658
+00:50:33,620 --> 00:50:39,380
+المعلومات اللي لا تصمن ولا تجني من جوعك الآن ال
+
+659
+00:50:39,380 --> 00:50:44,240
+data mining ال data mining تعرف تعريف آخر ال
+
+660
+00:50:44,240 --> 00:50:53,030
+process of identifyingالعملية الغير تقليدية أو
+
+661
+00:50:53,030 --> 00:50:58,350
+الغير سهلة أو الغير بسيطة لتعريف valid شو يعني
+
+662
+00:50:58,350 --> 00:51:06,350
+valid؟ صالح، دقيق، صح، يعني بنقدر نثق فين؟ النتيجة
+
+663
+00:51:06,350 --> 00:51:13,190
+تبعته potentially useful مفيد و هيترتب عليه action
+
+664
+00:51:13,190 --> 00:51:20,110
+and ultimately understandableلازم يكون مفهوم لأنه
+
+665
+00:51:20,110 --> 00:51:23,510
+إذا أنا بدي أجيب شغلة جديدة للناس المعنية يا مؤمن
+
+666
+00:51:23,510 --> 00:51:27,410
+لازم تفهم الكلام اللي أنا بقوله عشان تقدر تاخد
+
+667
+00:51:27,410 --> 00:51:34,770
+عليه action بينفعش أجي أتكلم مع تعوض مثلا بعمل
+
+668
+00:51:34,770 --> 00:51:38,030
+system عشان يساعد الأطباء في ال diagnosis و أجي
+
+669
+00:51:38,030 --> 00:51:41,930
+أقولهم هذي 01 و لو عملتلها أس تربيع وكذا و مش عارف
+
+670
+00:51:41,930 --> 00:51:46,070
+.. الكلام بيعنهوش اديله المعلومة عشان هيك هامت ال
+
+671
+00:51:46,070 --> 00:51:50,060
+presentationاتديله المعلومة بالشكل اللي هو يفهمه
+
+672
+00:51:50,060 --> 00:51:54,460
+لأنه إذا هو أخده يا سامير .. يا عارف؟ سامير ولا
+
+673
+00:51:54,460 --> 00:51:59,100
+عارف؟ سامير عارف لو هو أخد المعلومة بالشكل اللي
+
+674
+00:51:59,100 --> 00:52:03,220
+بيفهمها تمام؟ هيبني عليها action، هتصير الشغل
+
+675
+00:52:03,220 --> 00:52:08,300
+useful بالنسبة له طبعاً هاي تعريف ال pattern هي
+
+676
+00:52:08,300 --> 00:52:11,540
+عبارة عن arrangement of repeated parts هي الشغلات
+
+677
+00:52:11,540 --> 00:52:17,870
+.. هو أهم شغلة فيها تكرار والترتيبلأنه لما بيظهر
+
+678
+00:52:17,870 --> 00:52:21,950
+النسق أو الـ pattern هذا بنفسي كيفية بصير اتكلم
+
+679
+00:52:21,950 --> 00:52:25,190
+عليه better تبع لنسبة معينة محددة يا محمد زي ما
+
+680
+00:52:25,190 --> 00:52:30,450
+انت قولت valid هذا لازم يكون true لما أنا بقادي
+
+681
+00:52:30,450 --> 00:52:33,770
+اطبق عليه data جديدة يعني انت بتقولي انا و الله
+
+682
+00:52:33,770 --> 00:52:36,950
+okay انا في عندي rule او في عندي algorithm او في
+
+683
+00:52:36,950 --> 00:52:42,030
+عندي data product ممكن يعمل classification لكذا
+
+684
+00:52:42,030 --> 00:52:47,360
+okay على ال all data صحيحأبتعالي نجرب الـ real
+
+685
+00:52:47,360 --> 00:52:50,460
+data اللي موجودة عندنا حقيقية جدّيش هو صحيح فيها
+
+686
+00:52:50,460 --> 00:52:55,040
+تمام؟ وبناء عليه أنا لازم أقبله novel زي ما قولنا
+
+687
+00:52:55,040 --> 00:52:59,200
+ما حد شافه actionable لازم يكون عليه شغلة مفهومة
+
+688
+00:52:59,200 --> 00:53:02,760
+وزي ما قولنا سابقا understandable لازم يكون مفهوم
+
+689
+00:53:02,760 --> 00:53:06,560
+في البيئة اللي أنا بتكلم فيها عشان نقدر ناخد ال
+
+690
+00:53:06,560 --> 00:53:10,380
+action ليش احنا محتاجين ال data mining؟ الآن
+
+691
+00:53:10,380 --> 00:53:16,890
+البيانات عامالها بتتضخمبشكل مخيف مصادر البيانات كل
+
+692
+00:53:16,890 --> 00:53:20,790
+شيء اليوم أصبحت موجودة عندنا وبنقدر نجمعها بكل
+
+693
+00:53:20,790 --> 00:53:27,210
+بساطة data collection و data availability البيانات
+
+694
+00:53:27,210 --> 00:53:30,930
+متاحة بس خد automated data collection tool موجود
+
+695
+00:53:30,930 --> 00:53:34,770
+فيه عندى أدوات في مجال أنا أجمع بيانات بشكل تلقائي
+
+696
+00:53:34,770 --> 00:53:42,070
+أه فيه حط sensors اعمل برنامج يعمل scrabbing لل
+
+697
+00:53:42,070 --> 00:53:46,050
+websitesأو الـ social media sites أو الـ networks
+
+698
+00:53:46,050 --> 00:53:50,450
+فانت بتقدر تجمع البيانات بشكل .. الآن كذلك أعظم
+
+699
+00:53:50,450 --> 00:53:56,410
+المؤسسات صحية وتعليمية واجتماعية في البلدان عندها
+
+700
+00:53:56,410 --> 00:54:00,990
+data ضخمة جدا بتعداد الناس اللي ساكنينها وبالتالي
+
+701
+00:54:00,990 --> 00:54:07,550
+ممكن تستفيد منها الآن أهم تلت مصادر للناس للبيانات
+
+702
+00:54:07,550 --> 00:54:12,230
+ال business، التجارة، طبعا أنا بتكلم عن الاقتصاد
+
+703
+00:54:13,680 --> 00:54:22,520
+الـ Science العلوم كلها كانت طبية اجتماعية تعليمية
+
+704
+00:54:22,520 --> 00:54:27,960
+زراعية في كل المجالات في العلوم ال society في
+
+705
+00:54:27,960 --> 00:54:31,420
+الحياة الاجتماعية ما بين الناس في الأخبار و ال
+
+706
+00:54:31,420 --> 00:54:33,800
+digital cameras و ال YouTube و القنوات و الصفحات
+
+707
+00:54:33,800 --> 00:54:38,160
+فانت فعليا عندك هذه أصبحت مصادر بيانات مهمة جدا
+
+708
+00:54:38,160 --> 00:54:46,580
+ممكن تبني عليها decision فعليا أصبحنابنغرق في
+
+709
+00:54:46,580 --> 00:54:53,380
+البيانات و بنتدور جوعا للمعرفة الآن بعض الناس أو
+
+710
+00:54:53,380 --> 00:54:55,940
+بعض المفسرين كانوا بيقولوا في القرآن أو في تفسير
+
+711
+00:54:55,940 --> 00:54:59,960
+آية القرآن و تلك الأيام نداولها بين الناس يعني
+
+712
+00:54:59,960 --> 00:55:07,260
+أحداث التاريخ تتكرر بأشخاص مختلفةالـ behavior واحد
+
+713
+00:55:07,260 --> 00:55:11,720
+والـ action واحد يعني ما نتشوف مش غريب أن نقول
+
+714
+00:55:11,720 --> 00:55:16,660
+والله انتشر فيروس في الصين مثلا وقضى على 1500 شخص
+
+715
+00:55:16,660 --> 00:55:20,620
+طب ما هو طعون عمواس قبل مش عارف كام سنة برضه قضى
+
+716
+00:55:20,620 --> 00:55:25,460
+على نفس العدد ويزيد تقريباطب شو الاختلاف؟ مُسمّى
+
+717
+00:55:25,460 --> 00:55:28,580
+الـ Virus أو مُسمّى البكتيريا أو مُسبّب المرض؟ حسب
+
+718
+00:55:28,580 --> 00:55:33,140
+العلوم بتختلف الأمور وبالتالي الـ Historical Data
+
+719
+00:55:33,140 --> 00:55:38,960
+المتراكمة عندي بتحتوي على Knowledge تخدمني في
+
+720
+00:55:38,960 --> 00:55:43,160
+مستقبلي لأن إذا أتعرفت على الحدث سابقًا بتعرف على
+
+721
+00:55:43,160 --> 00:55:46,980
+كيف أتجنبه أو ممكن أنا أحاول أستفيد من الخبرة
+
+722
+00:55:46,980 --> 00:55:51,560
+السابقة وأتجنبه وبالتالي بما أن الحاجة أم الإختراع
+
+723
+00:55:52,300 --> 00:55:57,680
+فاحنا فعلياً بحاجة إلى automated analysis للـ
+
+724
+00:55:57,680 --> 00:56:02,400
+historical data أو لل big data اللي موجودة عندنا
+
+725
+00:56:02,400 --> 00:56:08,020
+حتى نحصل على مطلوبنا من البيانات اللي موجودة عندنا
+
+726
+00:56:08,020 --> 00:56:12,400
+أنا هيك اليوم خلصت المقدمة تبعتي اللي تناولتها ال
+
+727
+00:56:12,400 --> 00:56:16,720
+syllabus والمقدمة البسيطة عن ال data mining في حد
+
+728
+00:56:16,720 --> 00:56:20,840
+عنده أي سؤال يا شباب؟ في حد عنده أي اعتراض على
+
+729
+00:56:20,840 --> 00:56:22,060
+الخطة؟
+