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The course is effectively a tutorial on how to use proprietary software to solve a range of machine learning problems.I liked the fact that the course covered a wide range of problems quickly. There were however two issues that I did not like.1) It is not well supported and given that the technology is proprietary, there are few other places that offer support (i.e. you can’t just look at problems and solutions on stackoverflow to get insight into the tech)2) For a course labelled as “intermediate”, it presented very little detail. Most of the course was dedicated to explaining particular problems, the solution to which was inevitably “then you train this really clever, one-line algorithm we have written for you and you query it for insights”. I felt a little cheated by this approach to a subject which should be really fascinating.While some of my concerns may be addressed in follow on courses, I am left with little insight into what really lies ahead. For example, is this really an “intermediate” course? What background do I really need? Will we ever get to the detail or will I always just be expected to call someone else’s brilliant algorithm and accept the result.

The course is very good and covers neural networks at a detailed conceptual level. The course gave me a very good idea about the important concepts in this area through well structured chapters and programming assignments. I thank the organizers of this course (especially Prof. Hinton) heartily for conducting such an important and timely course. Thanks again !

The content is great, I think the delivery could be better, and there was a great deal of interesting but difficult and for me peripheral stuff about how the brain worked. Nevertheless, even this had me wowed at times. I have learnt a great deal from every aspect of this course, and am greatly looking forward to future courses, as you have promised!. A

Good class overall. I was not really a fan of the teaching styles at the beginning because they pack a lot of info and just keep going. Examples are pretty rare and quizzes require you to have an analytical understanding of the material which you cant get from the lectures themselves easily.

The instructor is VERY bad at presenting. SO dry and monotonic. Omg, I really want to learn all this but cant stand him talking.

good course with some very nice idea. I like the fact you can use a lot of languages for you programming assesment, the content is really helpful, I would like to have more indications from the grading system to save time.

The neo4j parts were good, and nice introduction to graph terminology and concepts. would like to see detailed hands-on for wk#5 (like wk#4 had w/neo4j, which was very well done). like the tools survey and concepts. would like to see recommendations for other course(s), not necessarily in this series or by UC SanDiego, about where to go for deeper math.

Professor Craig Wright is a passionate teacher and music lover who makes information easily accessible to anyone regardless of previous musical knowledge. I can better appreciate music since Ive taken this course, simply because I can understand it better. I can identify musical styles, periods, and even composers. Pr. Wright shares anecdotes on composers and events that make the history and theory easier to remember. I have to admit that I wasnt sure if Id like his teaching style when I watched the first few videos, but I was quickly converted. Professor Wright is so endearing and funny! An expert, really. I absolutely loved this course.

While the visual set up is well thought out (you can see the instructor, slides and writing space, the setup of course materials is too stringent for the beginning chemist. More time seems to be needed focusing on the basics of chemistry and chemistry math (such as how to read CH4, sig figs, etc) prior to testing on stoichiometry.

Some of the questions are not Java related ones at all which I couldnt see much of a helping point, e,g. What are the coordinates of rio de janeiro?. There were also a few of questions that I found a bit confusing because the code provided is plain white and its a bit hard to focus on it. Id rather want to customize the color of the presented code just like modern IDEs do. Everything else seems rather okay and intuitive. So far so good, guys :)

Great material, it is amazing that lectures by one of the most influential people in the neural network for machine learning community are freely available for everyone.The course could benefit from additional topics that appeared over the last 1-2 years (GANs for instance). There was a number of problems with quizes like missing parts of question descriptions, missing images or broken links.

Amazing course! Chris Impey is a wonderful teacher. The lectures are captivating, but at a level that is appropriate for astronomy beginners. The quizzes are only easy if you were paying attention, and the writing assignments consolidate the material. This course has made me even more interested in the subject and since starting it I have even gone beyond the scope of this course and done my own investigations. Definitely recommended.

My condition: a total computer science newbie.This course, as its proclamation, is very suitable for someone like me.It is a condense and delicate course, which means in order to get the skill to build a website, the only thing has to be done is following the steps in the video and finishing the assignment ; and yet every topic in the course, even a line of code, deserves further contemplation.Why Yakkov does this instead of that? is a question I frequently ask myself during the course.In short, this course provide a solid ground for developing skills in web development, and I sincerely recommend it to everyone whos interested in this field.

Great course! I really enjoyed it. It helped consolidate a lot of important knowledge, in order to create high quality, modern web applications.I do have one suggestion though, which would be creating a version of this course directed to Ruby on Rails. The framework has numerous helpers for building frontend and a lot of things displayed in this course could be approached differently with the help of Rails. I wouldve enjoyed having this perspective, since Im taking the Ruby on Rails specialization.Nonetheless, congratulations on the great course you guys put up!

I probably should wait to finish this course before reviewing, but Im halfway through and have found my motivation gone--Im finishing it just to finish it. The delivery adds nothing to the content, especially as much of it is simply the presenters reading lists also shown on screen. Class content would better serve the students as a searchable PDF. And why are there super-specific questions on quizzes about things like what specific funders require in a grant proposal? Thats information that you look up when you need it, not that you quiz people on. This class is a let down.

You should rename it to 90s style history of comunication from Bell to nowdays with useless facts about it.I watched almost all first block but then I understood that I learnt nothing than I tried the IoT block, but it still wordy and superficial. Use more media to show your main ideas, take a class of public speaking and stop shaking a remote all the time you dont even use it.

This was the paper I was most looking forward to in the Interaction Design specialisation. Unfortunately it seems as if they ran out of time to design it properly (despite extending its start date several times). I didnt learn what I wouldve expected and all of the assignments blurred into one another

easy to learn.

It would really been helpful if you provided some readings for each approach. I could do outside readings but as you know you can find lots of readings which might be not useful for a beginner.The final test was not close by to being easy even though I did study. Thank you for that and thats a good job giving us a challenge to look forward to.

I have being waiting for this a long time :)

This course does not live up to the high value that Ive come to enjoy and expect at Coursera. The videos are read by the teachers, so the inflections are wrong, making it very hard to follow. The videos are clipped short and cut off the words at the end. The information is given so quickly with terms not explained that a novice will likely not understand parts of it. I found no value here. There are far better tutorials on the web. I cant see how any college or university would respect any certificate from this course.

Since my majors was bioengineering, whenever my computer science friends discussed about data structures and their importance, I always wondered what data structures are and why they hold so much importance. The course and the instructors who have beautifully designed and developed it, gave me really good insights into data structures. Thank you Coursera, UCSD, Mia Minnes, Christine Alvarado, Leo Porter!

It is a well structured course covering a lot of ground that is certainly worthy of your time. The only aspect that I found could do with some improvement was the practical side: the programming exercises could have been a bit more challenging or rather they may have demonstrated the more advanced or state-of-the art techniques rather than focusing only on the basics. I recommend this course to everyone working with images and video.

The Lecturers are very enthusiastic, but I was hoping for examples and assignments based on Pandas and Skikit-Learn. Instead the course examples and assignments are based on a machine learning package called Graphlab, that stopped working when it was upgraded to version 2 (there are workarounds that enable it to work locally, but clearly it isnt enterprise ready)

Cool

This class does EVERYTHING right! I am a course designer (the world is full of junk courses, including from Princeton, shudder) and I love, love, love this entire sequence, but especially this course. The flow is logical, the questions in the video ask you to think but arent too far (they are scaffolded) away from what we might know or guess, the final questions are fair. And you dont use 5 new tech terms in the same sentence; you let us absorb the new info at the rate that the human brain can actually learn. I learned a few things just by watching you. A lot of credit to Dr. Currie for some of this: he uses the terms that need to be used, and plain English for common things like river (another class Waterloo). Bravo to the gents and brava to the wonderful presenter. I just wish you had the budget for another 15 classes.... sigh.

I had really high expectations from the course, I believe but it wasnt upto the mark. All it went through was some basic though I would have expected to go in details esp. for Aperture, Shutter and DOF.I am not sure if that i going to be covered in next unit but having gone though the basics in 1st unit, that was expectation in 2nd unit.

Very good instructor and good structure and pace to the class. Would have liked more real-life examples, and would have liked peer review questions that required more thought and strategy behind them. Which channel do you like more isnt really that intriguing a question. Instead, a different question could have been How might you leverage each channel for different purposes?

Mo comment went way too fast no contact not deep

it is so an amazing and excellent course! i am honor to have the chance to learn this course. it is interesting and practical. it enriches my life. i am from China. it provides a new access to learn RN. i will always recommend this course to my friends and colleagues.

I dont think the food in course suit to every child.

A little basic for me. But it was mentioned this was meant for the absolute beginner. Nonetheless, as a developer that never dabbled in HTML, this dipped my curiosity for HTML5. Its a solid start, better than reading about it somewhere in the internet.Definitely use split screen or a separate device to follow along with the coding. Even if it seems too easy.

Excellent material! Amazing to learn with one of the developers of NN.Unfortunately, there were lots of errors in the Quizzes and Assignments. Several questions could be answered only thanks to the help of other students that have had access to previous versions of the course.The mentors were at the beginning answering questions from the students that completed the course in the first couple of weeks and later disappeared. Then it was clearly in autopilot.Anyway, positive!It is necessary more hands on exercises to tight the theory with the practice.

kind of boring and I am not learning how half this info is obtained or why it is relevant to real world chemistry

Good Course

Great place to start

This course is only supported by a course of data analytics. It should clearly state that advanced statistics is a prerequisite knowledge. I expected to learn advanced excel techniques, not to be required to know statistic models to apply.

Excellent course, period.This is the first course Ive taken from Coursera. Before the course I knew something about HTML, CSS and Javascript but not too much. First week is a piece of cake. Second week was also easy but I did not have a strong logic about the box model before, after the second week I had it.With third week things went in a strange way, but in a positive one. We started to code a real website (yeah youll understand if you enroll) from scratch. This was invaluable for me. Reading documents is something, but watching lectures, interact with the real code, try and see way, using Git and Github, getting great tips, I mean doing real stuff is invaluable.Fourth week is also not so hard for me since I have some basic Javascript history. And Javascript section is not so detailed and difficult, but just for one week it was beyond OK, it was great. Even in basic info youll learn something.Fifth week is a total stranger for me since I dont know anything about Ajax or dynamic loading pages style. Ok, I know what was Ajax but just the name :) So, after the week Ive learned those. At least the concept itself and how to implement it in a simple web site. But I must confess, I watched the videos twice and examine the codes again and again to fully understand what we are doing and how we are doing. Because a week is not enough for this and things go faster. But hey, lectures are recorded and you can watch them again right :) And you have all the codes!Beauty of this course is all the weeks and assignments are related and integrated. So you learn something, finish the assignment. Next week, you learn new things, get new assignments but continue the last weeks job. Yeah, you remember the real web site part?And of course last but not least Mr. Yaakov Chaikin is a great instructor and person! He has an excellent way of teaching.So, if you are a total newbie or someone who is beginning of his journey like me do not hesitate to enroll this course. But please pay attention, if you are so new about those topics, about the week four and five you will struggle a little bit.

This is the first course that I have completed via Coursera. The videos/presentation were easy to follow (I liked the function to view the videos at 1.5 x) and there was a lot of guidance as to how to proceed with the programming assignments. Programming is not one of my strong skills, but if you follow the tutorials that the mentors have set up and use the test cases, it was very doable. I do think that students need to search for similar questions in the forums more. I found that so many people ask the same questions that have already been asked and answered before. The mentors have been very patient with everyone.

I enjoyed studying the lessons and making the assignments. I dont feel comfortable with the idea of reviewing other students tasks/projects or vice-versa since Im not a fluent English language speaker, but I know this is the way to get grades on Coursera.I suggest updating some lessons since this course was released on 2014 and some things have changed since that year in the digital marketing field.

I have learned a lot and I want to learn more! Thank you very much Stanford University and Dr. Maya! God bless!

I love this course. It helps me with my teaching and personal development. Besides, I know several reference management tools from this course. Storing the documents is really complicated and makes me in a mess. Thank you for your tutoring and sharing.

Great course! But they dont provide weekly summary of content despite number of people have already requested this :)Would definitely suggest!

As I was taking this class, I often wondered who the target audience was. Although the class has no listed prerequisites, I noticed a lot of engineering jargon being used without ever defining what it meant. Im not sure that non-technical people would get much out of the lectures. On the other hand, the lectures were mostly at a superficial level, so Im not sure that technical people would get much out of them either. The only topic that got a (somewhat) deep dive was serial communication, and it wasnt clear why; users of the Arduino dont need to understand it any more or less than any other aspect of how an Arduino works.There were other issues. The programs we wrote had to be pasted into a submission form that removed all the carriage returns when you hit Save; I had to manually fix my program each time. Perhaps most frustratingly, you could follow the assignment instructions to the letter, but after you submitted you might find out that the grading criteria included other requirements. In one case people asked about it, and it turned out that the grading criteria were wrong, but they were never updated. My sense was that not much effort went into the creation of this course.

Very good course with lots of valuable advice about application of different strategies and how to approach obstacles that can occur applying machine learning.At times the math felt a little bit repetitive, because, well, loss minimization stays pretty much the same. But better repeat too often than not often enough.My only issue was the usage of Matlab/Octave. I wouldve much preferred Python or even the (to me) unfamiliar R. But Octave/Matlab was a pain for me, especially as I knew Id never need it again after this course. Maybe giving a choice whether we use Matlab/Octave or Python wouldve been nice to accommodate both, people with and without programming experience.

The course is super interesting. However, the lectures could be better explained and the material better organized. I found myself constantly looking online for extra material to better understand the concepts. Also, you can tell that the course is not anymore groomed and there are some mistakes in a quiz due to lack of care. In any case, the course is very recommendable to start with neural networks

Movies were very interesting and planning to watch all of them with new perspective.Wish the summaries and important texts in the lecture was available as slides helping for quick review and recall.The same constant tone of voice made it difficult to keep awake and focus on the contentWished for more reading material each week rather than same book link.

I liked this course very much because it was very interesting because it analyzed music from so different and for me, new perspectives. The idea of music as omnipresent, music as a character factor in education or Bildung, and the relation of ethics and music, really broaded my scope. I strongly recommend it !!

The cloud computing service with amazon described in the course is not free anymore. I was charged money for using it. The course also took much more time to complete than I wanted to spend. I believe a better design of the project could lead to a more efficient, less frustrating learning experience. Details below.The usegalaxy server was extremely slow. As shown in the course, I installed an instance of galaxy in the AWS/Amazon Cloud. I was under the impression that this was a free service for the first year. Amazon has changed its interfaces and I could not do the installation as recommended. But I managed to run a few analyses with some workarounds. I did not explicitely terminated the galaxy instance for ~ 6 days. Charges of $280 accumulated.The course project in week 4 was far beyond what was covered in the lectures. It took me a whole week, spending multiple hours every day. Many dead-end roads coupled with extremely long run times on the galaxy servers resulted in very inefficient learning and many frustrations. Help via the discussion forum was critical to design an analysis pipeline - so thank you Dejan and all contributors for the support.This is not a course I could easily do part-time: I don’t have time to read the fine print on what is available for free on Amazon, nor do I have time to go through all of the tools on galaxy to find out what would be the best for my analysis.On the positive side: I think Galaxy is a great tool.

I absolutely love the quality of this MOOC. The way all speakers elaborate the concepts is very clear and comprehensive without loosing in technical quality. The MOOCs given by the EAWAG are like a book you just cant put down. The notions are down to earth, applicable and tested on the field. I JUST CANT WAIT TO START the MOOC on Planning and Design of Sanitation Systems and Technologies.

Really enjoyed the course - I did well, but this is really in-depth material. I feel like it would be really difficult to implement an ML regression algorithm from scratch in a job material.I would like to see more interactivity in the lectures (short-quizzes interspersed in the videos) in addition to the long programming assignments at the end of the course.-Thomas

Hello John,Thanks for your help I gain a lot from this module being a graduate in electronics it is very difficult to survive in core IT industry on software side you really me help me in this I am still searching a new opportunity and will sure I will get it soon once thanks a lot one thing I would like to suggest you if you can start some course for testing tools also that would be really greatThanks and Regards,Divyansh Bhatnagar

It was an amazing and interesting course, i dont think Ive ever enjoyed a course as much as this one. Hats off to John Covach, because, when I usually do a course on Coursera the teacher is often quite boring, but I enjoyed his dramatic feelings that he expressed during the course. Thank you.

Interesting, thank you for making this course available. After taking it I transitioned from being pescetarian to vegan and I wish that more controversial animal rights concerns were more focused on.

Moderator answer in a very short time. I was impressed of that. I think the course should add a video to explain more in details some concept as variables. many of my issues were coming from deep doubts i had about this. maybe explain variables on hardware and variables as pointers.

I´d found this course really good, I have a litle bit experience with dog training throw the years experience with my dogs and internet videos, but this approach never have it before, I thanks to Dr. Ohara for the great course he made for Coursera I definitely apply dognition games to my dogs and the dogs of my friends. Saludos

Loved doing this course... had minimal knowledge apart from a basic understanding of linear and logistic regression. Came away with a wealth of knowledge. I now have the confidence to design machine learning algorithms. I have been a metallurgical design engineer for years so can see how to easily transfer the skills to machine learning tool-kits.

Fantastic introductory course to a long awaited specialization. Im an electrical engineer and I was related to most of the theory prof. Erickson discussed with us in the lectures, but assignments, quick questions and facts were beyond my expectations. I can actually say I learnt things in these few weeks. And is just the beginning. Cant wait until we get to the control loop design for active filtering techniques. Great job by prof. Erickson and his team for the resources and the knowledge.

I like Mr Balch but to be honest I learned next to nothing. Maybe this is a good course for somebody who has no background in finance. As for myself I felt that I was wasting time and money. The book associated with this course was just like the course itself: shallow and doesnt go in any depth to explain the matter fully and rigorously. If you want to know WHAT computational investing is, you can take this class. Googling a bit will have roughly the same effect, though. If you want to learn how to actually DO computational investing, do not take this course - its just not serious enough.As the name of this course implies, you probably expected to find part II somewhere, which was promised to be a course about using machine learning in investing. 3 or 4 years after part I went live, part II is still missing and probably will never come out.The software used in this course, QSTK, is buggy and has been so for 3+ years. Its not maintained by anyone, and the people taking this course had to find ways to overcome QSTK bugs to be able to complete their assignments.And lastly: the exercises. There are none. All you get is a lame quiz for every week which basically asks to change some variables in the scripts provided. I did some coding for week 3 but that was it. No coding practice after that.

Personally, I strongly doubt that putting a bunch of slides and a few auto-graded exercises is the best way to learn about logic. Why then Stanford University doesnt just email his students this material and let them work on their own instead of doing lectures?I dont see the added value at all. Apart from being able to discuss the topic in the forum with other online students, whats the advantage in comparison to buying a book and doing the exercises there?This course to me started off with the wrong foot. No info on the starting date of the course until the end of September, when instead the course was supposed to start at the beginning of the month. And now the complete absence of videos. This to me seems more like a fuck up on the side of Coursera, which didnt find an agreement with Stanford University so no material had been produced until now. Then, in order not to completely ruin its reputation, Coursera put a bunch of slides calling it an online course and expecting people to buy this lie.I might be wrong and this could be only my theory and nothing else, however, I wont recommend Coursera to anyone after this. Very bad feedback so far, and the funny thing is that I had big expectations before the start.Hope this will be taken as constructive feedback and not as a complaint.

It really did what it told me it would do: it helped me learn how to learn. Before I started, I had hated learning, I had had enough, but now Im excited to learn new things (my final semester starts tomorrow, so it came at the very best time it could)!!

Its fairly dense with sensible things to know and do.

Change my lifestyle completely!

This course was a great intro to these concepts and helpful guide to getting things set up and getting used to the MOOC format, as well! A few times it seemed like the slides jumped right in while skipping over a bit of context, but was able to orient myself with some googling and asking friends some basic questions to figure things out.

Course was ok. However, some of questions were not clear based on excerpt from support video. For example, quiz #1 question 7. Course was general overview of very important subject matter of Cyber Conflicts. Looking forward to a more specific and detailed course structure. PS: A course concerning Cyberwar in Space would be quite interesting.

One word ... FANTASTIC! Thank you Learning how to Learn team for your tremendous effort in making this message available to all. You are clearly passionate about empowering learning and also about teaching. This is the first MOOC that I will complete to the end, it it has given me the courage to expand my horizons and learn something new and/or something scary that I never thought I could possibly do - you dont always have to be a natural at something to learn something new. Thank you for showing the world that anyone can be brilliant by implementing some smart, effective, and efficient strategies. As well as applying a bit of grit. Thank you for teaching us how to learn. A great and highly recommended course for absolutely everyone - because we are all life-long learners.

This is an amazing course if youd like to get a good introduction to world of Controls in Robotics. The professor derives math and gives explanation for them, good amount of homework exercise. I really wish the the course was updated with time, I kinda feel the simulator and building quickbot has not been updated in a while or enough support.

This particular curse is an amazing reminder of what we all need from our childhood. My mum always cooked for me, and taught me to feed myself in the best way since I was 5 years old, after leaving home when I was 19 to live the adult life I let the easy fast food rule my life until I was a mother myself and had to go back to the healthy habits. So I adore this curse specially the way its made! So real and simple. Love it!

This course was required by my director, but it is not for those who have no background in law (which was the case for the group of us at CDC who were required to take this). It was very difficult to iuinderstand and I did not think it was a beginners course for no

This course helped me to solve some questions i had about nutrition. It also helped me with lots of techniques to include vegetables and healthy food at home. My 9 years old boy tested a cucumber yesterday with salad dressing! i couldnt believe that was possible. Its easy to follow and encouraging. Thank you.MG. from Venezuela.

The course materials and the topic of interest is fantastic. Dr. Erickson does a great job explaining the fundamentals of power switching technologies and the homework greatly tests a participants knowledge of the subject matter and forces the user to really digest the material. My only critique is I wish the homework solutions would be shared after the homework due dates so that one could learn from

I have learned a lot from this course on how to become a much better learner and how to beat procrastination, as far as i have seen all of the techniques i have learned in this course are extremely effective and has drastically influenced and changed my way of thinking and the perception of things.

Very interesting and not so hard. Interview questions are sometimes trickier than practical exercises.

Very interesting course if you want to learn about inner workings of distributed systems. Lecturer was very knowledgeable and provided good examples. Exams and quizes were pretty challenging and fun. I love that there was a practical programming assignment. I would only suggest to tweak the template for programming assignment as it was a little bit limiting. And maybe allowing for different programming languages other than C++.

The course was overall good in achieving its goal of trying to introduce various machine learning methods, without getting into too much detail. The course used IPython Notebooks, which I found to be a very useful environment for learning. The professors have done an excellent job of presenting the materials with good examples and code.I took a star away because some of the quiz questions did not stimulate my thought process much and relied on remembering terms and definitions. Also, I would have preferred the use of open source Python libraries as much as possible and use GraphLab Create only when using open source libraries would have been very cumbersome or impossible.

It was informative but felt that the instructor was somehow too confident of his position, though he did give lip service to other positions. I am not sure why this bothered me, since I agree with the importance of being compassionate and the misguidedness of a punitive stance towards addiction. And in fact, it has nothing to do with the course. I would also have enjoyed seeing more and/or more detailed case studies.

Id give it a 5 if I was only rating the material- it was very informative and easily digestible. Just what you need for a starting course.The assignment and scoring part of the course is what brings the rating down a notch. Relying solely on feedback from people who are probably beginners in the field and who go by one sentence instruction on what to feedback on was not always constructive. More guidance needs to be added to what to look out for when scoring somebodys work.

The course is great for advanced beginners looking for a refresher in html/css and fully dives into JavaScript. If you are not familiar with JavaScript, I would suggest supplementing this course with another JS course or book because the course moves quickly through concepts most programmers have a hard time mastering. Still if you are a total noob, you should take the course anyway, as the projects emphasis use of form validation and object-oriented programming in JavaScript which is important for any new web developer.Due to the lack of support from the instructor and aides in terms of technical issues, grading, and discussion board input, I gave the course a 3 out of 5. My understanding is that Coursera is working with the instructor to take care of these issues though.

Very informative and entertaining course. I moved to the south 10 years ago from way north and the culture is unique and warm. The people are great storytellers and talk slow, stay long. There is a strong music and writing community and I now understand much better the oral traditions and the roots ingrained in the generations of people that grew up here. The strong familial and community connections are deep and they have a sense of place stronger than Ive seen in other parts of the world Ive lived. I also see a good life balance, and a lot of joy. A truly rich heritage thrives here, and is not lost, even in these-paced, electronic-laden, modren times.

The course was excellent, with very good structure, with the right level of difficulty/complexity, with very good slides & discussions. The only couple of points for potential amendments that I would propose is a) avert from calling/mentioning drugs with their brand names, but rather use the active ingredient names only, and b) perhaps providing resources for further reading (i.e web links etc) to all material after each lecture, like you did for week 6 final lecture.

This course leaned more on the theoretical side and less on the practical. Expect more neurologic research techniques and less real world applications. Which is OK. Very insightful. Tests could be a little more challenging. More interaction would be appreciate. An abrupt ending. Still a wide scope and easy to follow.

The Microbiome course has been a great course, I enjoyed each part of it. Thank you for all efforts to put it together and to make it available to everyone. It would be great if some of the readings which are part of the course can be all made available outside the pay wall.I wish a great success for the American Gut Project, including Canada, and later include Mexico.BIG THANK YOU!

Changed my way of thinking. Thank you!

The basics of Machine Learning explained in an easy to understand way. For people like me who are unfamiliar with Statistics the need arises from time to time to research certain things on your own. I would recommend just a little bit of familiarity with Calculus (i.e. derivatives) in order to better understand things, but certainly not necessary to make progress.Professor Andrew does a great job at explaining the concepts, and the programming assignments are very interesting and challenging.The course does suffer from BAD English subtitling, but not exactly something that should put you off.This course is a great way to get started in Machine Learning, and paves the way for more advanced learning in the future.

Course was well organized. The sequence was very helpful to understand the concept by first using bluemix application and then sequentially moving to using API based application in bluemix and raspberry pi. But felt assigments description needs some improvement. For few assigments grader failed if there is extra valid if statement. I felt grader should not be so strict to not accept valid javascript statements.Some of the lecture content were not up to date which caused problem in generating successful results.But overall a very nice Course. Thanks you.

Ever since I started i dont want to stop

The material given is good for an introductory course on child nutrition. The graphics and didactic material is very good. I would suggest that Dr. Maya improve on her cooking skills (cutting and chopping), It takes too long to do every task and she must use appropriate tools. also, measurements are very important in the kitchen to be disregarded as she does. Remember, she might be teaching to people that have not cook at all. Cooking without measuring is for an expert or a least for somebody with some cooking experience.