| {"text": "# Table of Contents\n\n- [Pengenalan Konsep](<./Pengenalan-Konsep.md>)\n- [Pembelajaran Mesin dan Deep](<./Pembelajaran-Mesin-dan-Deep.md>)\n- [Learning](<./Learning.md>)\n - [Edisi1.4 ( 17 Agustus2020)](<./Learning/Edisi1.4--17-Agustus2020.md>)\n - [Jan Wira Gotama Putra](<./Learning/Jan-Wira-Gotama-Putra.md>)\n - [Untuk Tuhan, Bangsa, dan Almamater](<./Learning/Jan-Wira-Gotama-Putra/Untuk-Tuhan-Bangsa-dan-Almamater.md>)\n - [Kata Pengantar](<./Learning/Kata-Pengantar.md>)\n - [Daftar Isi](<./Learning/Daftar-Isi.md>)\n - [Bagian I Pengetahuan Dasar](<./Learning/Bagian-I-Pengetahuan-Dasar.md>)\n - [1 Pengenalan](<./Learning/1-Pengenalan.md>)\n - [1.1 Kecerdasan Buatan](<./Learning/1-Pengenalan/1.1-Kecerdasan-Buatan.md>)\n - [1.2 Intelligent Agent](<./Learning/1-Pengenalan/1.2-Intelligent-Agent.md>)\n - [1.3 Konsep Belajar](<./Learning/1-Pengenalan/1.3-Konsep-Belajar.md>)\n - [1.4 Statistical Learning Theory](<./Learning/1-Pengenalan/1.4-Statistical-Learning-Theory.md>)\n - [1.5 Training, Validation, Testing Set](<./Learning/1-Pengenalan/1.5-Training-Validation-Testing-Set.md>)\n - [1.6 Supervised Learning](<./Learning/1-Pengenalan/1.6-Supervised-Learning.md>)\n - [1.7 Regresi](<./Learning/1-Pengenalan/1.7-Regresi.md>)\n - [1.8 Semi- _supervised_ Learning](<./Learning/1-Pengenalan/1.8-Semi--_supervised_-Learning.md>)\n - [1.9 Un _supervised_ Learning](<./Learning/1-Pengenalan/1.9-Un-_supervised_-Learning.md>)\n - [1.10 Proses Belajar](<./Learning/1-Pengenalan/1.10-Proses-Belajar.md>)\n - [1.11 Tips](<./Learning/1-Pengenalan/1.11-Tips.md>)\n - [1.12 Contoh Aplikasi](<./Learning/1-Pengenalan/1.12-Contoh-Aplikasi.md>)\n - [Soal Latihan](<./Learning/1-Pengenalan/Soal-Latihan.md>)\n - [2 Fondasi Matematis](<./Learning/2-Fondasi-Matematis.md>)\n - [2.1 Probabilitas](<./Learning/2-Fondasi-Matematis/2.1-Probabilitas.md>)\n - [2.2 Probability Density Function](<./Learning/2-Fondasi-Matematis/2.2-Probability-Density-Function.md>)\n - [2.3 Expectation dan Variance](<./Learning/2-Fondasi-Matematis/2.3-Expectation-dan-Variance.md>)\n - [2.4 Bayesian Probability](<./Learning/2-Fondasi-Matematis/2.4-Bayesian-Probability.md>)\n - [2.5 Gaussian Distribution](<./Learning/2-Fondasi-Matematis/2.5-Gaussian-Distribution.md>)\n - [2.6 Apakah Karakteristik Sampel Mencerminkan Populasi?](<./Learning/2-Fondasi-Matematis/2.6-Apakah-Karakteristik-Sampel-Mencerminkan-Populasi.md>)\n - [2.7 Teori Keputusan](<./Learning/2-Fondasi-Matematis/2.7-Teori-Keputusan.md>)\n - [2.8 Hypothesis Testing](<./Learning/2-Fondasi-Matematis/2.8-Hypothesis-Testing.md>)\n - [2.9 Teori Informasi](<./Learning/2-Fondasi-Matematis/2.9-Teori-Informasi.md>)\n - [2.10 Matriks](<./Learning/2-Fondasi-Matematis/2.10-Matriks.md>)\n - [2.11 Bacaan Lanjutan](<./Learning/2-Fondasi-Matematis/2.11-Bacaan-Lanjutan.md>)\n - [Soal Latihan](<./Learning/2-Fondasi-Matematis/Soal-Latihan.md>)\n - [3 Data Analytics](<./Learning/3-Data-Analytics.md>)\n - [3.1 Pengenalan Data Analytics](<./Learning/3-Data-Analytics/3.1-Pengenalan-Data-Analytics.md>)\n - [3.2 Nilai Atribut dan Transformasi](<./Learning/3-Data-Analytics/3.2-Nilai-Atribut-dan-Transformasi.md>)\n - [3.3 Ruang Konsep](<./Learning/3-Data-Analytics/3.3-Ruang-Konsep.md>)\n - [3.4 Linear Separability](<./Learning/3-Data-Analytics/3.4-Linear-Separability.md>)\n - [3.5 Seleksi Fitur](<./Learning/3-Data-Analytics/3.5-Seleksi-Fitur.md>)\n - [3.6 Classification, Association, Clustering](<./Learning/3-Data-Analytics/3.6-Classification-Association-Clustering.md>)\n - [3.7 Mengukur Kinerja](<./Learning/3-Data-Analytics/3.7-Mengukur-Kinerja.md>)\n - [3.8 Evaluasi Model](<./Learning/3-Data-Analytics/3.8-Evaluasi-Model.md>)\n - [3.9 Kategori Jenis Algoritma](<./Learning/3-Data-Analytics/3.9-Kategori-Jenis-Algoritma.md>)\n - [3.10 Tahapan Analisis](<./Learning/3-Data-Analytics/3.10-Tahapan-Analisis.md>)\n - [Soal Latihan](<./Learning/3-Data-Analytics/Soal-Latihan.md>)\n - [Bagian II Algoritma Pembelajaran Mesin](<./Learning/Bagian-II-Algoritma-Pembelajaran-Mesin.md>)\n - [4 Algoritma Dasar](<./Learning/4-Algoritma-Dasar.md>)\n - [4.1 Naive Bayes](<./Learning/4-Algoritma-Dasar/4.1-Naive-Bayes.md>)\n - [4.2 K- _mean_ s](<./Learning/4-Algoritma-Dasar/4.2-K--_mean_-s.md>)\n - [4.3 K-nearest-neighbor](<./Learning/4-Algoritma-Dasar/4.3-K-nearest-neighbor.md>)\n - [Soal Latihan](<./Learning/4-Algoritma-Dasar/Soal-Latihan.md>)\n - [5 Model Linear](<./Learning/5-Model-Linear.md>)\n - [5.1 Curve Fitting dan Error Function](<./Learning/5-Model-Linear/5.1-Curve-Fitting-dan-Error-Function.md>)\n - [5.2 Binary Classification](<./Learning/5-Model-Linear/5.2-Binary-Classification.md>)\n - [5.3 Log-linear Binary Classification](<./Learning/5-Model-Linear/5.3-Log-linear-Binary-Classification.md>)\n - [5.4 Multi- _class_ Classification](<./Learning/5-Model-Linear/5.4-Multi--_class_-Classification.md>)\n - [5.5 Multi-label Classification](<./Learning/5-Model-Linear/5.5-Multi-label-Classification.md>)\n - [5.6 Pembelajaran sebagai Permasalahan Optimisasi](<./Learning/5-Model-Linear/5.6-Pembelajaran-sebagai-Permasalahan-Optimisasi.md>)\n - [5.7 Batasan Model Linear](<./Learning/5-Model-Linear/5.7-Batasan-Model-Linear.md>)\n - [5.8 Overfitting dan Underfitting](<./Learning/5-Model-Linear/5.8-Overfitting-dan-Underfitting.md>)\n - [5.9 Regularization](<./Learning/5-Model-Linear/5.9-Regularization.md>)\n - [5.10 Transformasi Data](<./Learning/5-Model-Linear/5.10-Transformasi-Data.md>)\n - [5.11 Bacaan Lanjutan](<./Learning/5-Model-Linear/5.11-Bacaan-Lanjutan.md>)\n - [Soal Latihan](<./Learning/5-Model-Linear/Soal-Latihan.md>)\n - [6 Pohon Keputusan](<./Learning/6-Pohon-Keputusan.md>)\n - [6.1 Inductive Learning](<./Learning/6-Pohon-Keputusan/6.1-Inductive-Learning.md>)\n - [6.2 ID3](<./Learning/6-Pohon-Keputusan/6.2-ID3.md>)\n - [6.3 Isu pada ID3](<./Learning/6-Pohon-Keputusan/6.3-Isu-pada-ID3.md>)\n - [6.4 Pembagian Ruang Konsep](<./Learning/6-Pohon-Keputusan/6.4-Pembagian-Ruang-Konsep.md>)\n - [Soal Latihan](<./Learning/6-Pohon-Keputusan/Soal-Latihan.md>)\n - [7 Support Vector Classifier](<./Learning/7-Support-Vector-Classifier.md>)\n - [7.1 Maximal Margin Classifier](<./Learning/7-Support-Vector-Classifier/7.1-Maximal-Margin-Classifier.md>)\n - [7.2 Support Vector Classifier](<./Learning/7-Support-Vector-Classifier/7.2-Support-Vector-Classifier.md>)\n - [7.3 Support Vector Machine](<./Learning/7-Support-Vector-Classifier/7.3-Support-Vector-Machine.md>)\n - [7.4 Klasifikasi lebih dari dua kelas](<./Learning/7-Support-Vector-Classifier/7.4-Klasifikasi-lebih-dari-dua-kelas.md>)\n - [7.5 Tips](<./Learning/7-Support-Vector-Classifier/7.5-Tips.md>)\n - [Soal Latihan](<./Learning/7-Support-Vector-Classifier/Soal-Latihan.md>)\n - [8 Hidden Markov Model](<./Learning/8-Hidden-Markov-Model.md>)\n - [8.1 Probabilistic Reasoning](<./Learning/8-Hidden-Markov-Model/8.1-Probabilistic-Reasoning.md>)\n - [8.2 Generative Model](<./Learning/8-Hidden-Markov-Model/8.2-Generative-Model.md>)\n - [8.3 Part-of-speech Tagging](<./Learning/8-Hidden-Markov-Model/8.3-Part-of-speech-Tagging.md>)\n - [8.4 Hidden Markov Model Tagger](<./Learning/8-Hidden-Markov-Model/8.4-Hidden-Markov-Model-Tagger.md>)\n - [8.5 Algoritma Viterbi](<./Learning/8-Hidden-Markov-Model/8.5-Algoritma-Viterbi.md>)\n - [8.6 Proses Training Hidden Markov Model](<./Learning/8-Hidden-Markov-Model/8.6-Proses-Training-Hidden-Markov-Model.md>)\n - [Soal Latihan](<./Learning/8-Hidden-Markov-Model/Soal-Latihan.md>)\n - [9 Seleksi Fitur dan Metode Evaluasi](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi.md>)\n - [9.1 Feature Engineering](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.1-Feature-Engineering.md>)\n - [9.2 High Dimensional Data](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.2-High-Dimensional-Data.md>)\n - [9.3 Feature Selection](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.3-Feature-Selection.md>)\n - [9.4 Evaluasi Kinerja Model](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.4-Evaluasi-Kinerja-Model.md>)\n - [9.5 Cross Validation](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.5-Cross-Validation.md>)\n - [9.6 Replicability, Overclaiming dan Domain Dependence](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/9.6-Replicability-Overclaiming-dan-Domain-Dependence.md>)\n - [Soal Latihan](<./Learning/9-Seleksi-Fitur-dan-Metode-Evaluasi/Soal-Latihan.md>)\n - [10 Clustering](<./Learning/10-Clustering.md>)\n - [10.1 K- _mean_ s, Pemilihan Centroid, Kemiripan Data](<./Learning/10-Clustering/10.1-K--_mean_-s-Pemilihan-Centroid-Kemiripan-Data.md>)\n - [10.2 Hierarchical Clustering](<./Learning/10-Clustering/10.2-Hierarchical-Clustering.md>)\n - [10.3 Evaluasi](<./Learning/10-Clustering/10.3-Evaluasi.md>)\n - [Soal Latihan](<./Learning/10-Clustering/Soal-Latihan.md>)\n - [Bagian III Artificial Neural Network](<./Learning/Bagian-III-Artificial-Neural-Network.md>)\n - [11 Feed _forward_ Neural Network](<./Learning/11-Feed-_forward_-Neural-Network.md>)\n - [11.1 Definisi Artificial Neural Network](<./Learning/11-Feed-_forward_-Neural-Network/11.1-Definisi-Artificial-Neural-Network.md>)\n - [11.2 Single Perceptron](<./Learning/11-Feed-_forward_-Neural-Network/11.2-Single-Perceptron.md>)\n - [11.3 Permasalahan XOR](<./Learning/11-Feed-_forward_-Neural-Network/11.3-Permasalahan-XOR.md>)\n - [11.4 Multi _layer_ Perceptron](<./Learning/11-Feed-_forward_-Neural-Network/11.4-Multi-_layer_-Perceptron.md>)\n - [11.5 Interpretability](<./Learning/11-Feed-_forward_-Neural-Network/11.5-Interpretability.md>)\n - [11.6 Binary Classification](<./Learning/11-Feed-_forward_-Neural-Network/11.6-Binary-Classification.md>)\n - [11.7 Multi- _class_ Classification](<./Learning/11-Feed-_forward_-Neural-Network/11.7-Multi--_class_-Classification.md>)\n - [11.8 Multi-label Classification](<./Learning/11-Feed-_forward_-Neural-Network/11.8-Multi-label-Classification.md>)\n - [1 0](<./Learning/11-Feed-_forward_-Neural-Network/1-0.md>)\n - [0 1](<./Learning/11-Feed-_forward_-Neural-Network/0-1.md>)\n - [0 0](<./Learning/11-Feed-_forward_-Neural-Network/0-0.md>)\n - [1 1](<./Learning/11-Feed-_forward_-Neural-Network/1-1.md>)\n - [11.9 Deep Neural Network](<./Learning/11-Feed-_forward_-Neural-Network/11.9-Deep-Neural-Network.md>)\n - [11.10 Tips](<./Learning/11-Feed-_forward_-Neural-Network/11.10-Tips.md>)\n - [11.11 Regularization and Dropout](<./Learning/11-Feed-_forward_-Neural-Network/11.11-Regularization-and-Dropout.md>)\n - [11.12 Vanishing and Exploding Gradients](<./Learning/11-Feed-_forward_-Neural-Network/11.12-Vanishing-and-Exploding-Gradients.md>)\n - [11.13 Rangkuman](<./Learning/11-Feed-_forward_-Neural-Network/11.13-Rangkuman.md>)\n - [Soal Latihan](<./Learning/11-Feed-_forward_-Neural-Network/Soal-Latihan.md>)\n - [12 Auto _encoder_](<./Learning/12-Auto-_encoder_.md>)\n - [12.1 Representation Learning](<./Learning/12-Auto-_encoder_/12.1-Representation-Learning.md>)\n - [12.2 Singular Value Decomposition](<./Learning/12-Auto-_encoder_/12.2-Singular-Value-Decomposition.md>)\n - [12.3 Ide Dasar Auto _encoder_](<./Learning/12-Auto-_encoder_/12.3-Ide-Dasar-Auto-_encoder_.md>)\n - [π Encoder Decoder](<./Learning/π-Encoder-Decoder.md>)\n - [π#π# π#π#π#π»](<./Learning/ππ-ππππ».md>)\n - [π π](<./Learning/π-π.md>)\n - [12.4 Resisting Perturbation](<./Learning/π-π/12.4-Resisting-Perturbation.md>)\n - [12.5 Representing Context: Word Embedding](<./Learning/π-π/12.5-Representing-Context-Word-Embedding.md>)\n - [CBOW Skip-gram](<./Learning/π-π/CBOW-Skip-gram.md>)\n - [12.6 Tips](<./Learning/π-π/12.6-Tips.md>)\n - [Soal Latihan](<./Learning/π-π/Soal-Latihan.md>)\n - [13 Arsitektur Neural Network](<./Learning/13-Arsitektur-Neural-Network.md>)\n - [13.1 Convolutional Neural Network](<./Learning/13-Arsitektur-Neural-Network/13.1-Convolutional-Neural-Network.md>)\n - [13.2 Recurrent Neural Network](<./Learning/13-Arsitektur-Neural-Network/13.2-Recurrent-Neural-Network.md>)\n - [13.3 Part-of-speech Tagging Revisited](<./Learning/13-Arsitektur-Neural-Network/13.3-Part-of-speech-Tagging-Revisited.md>)\n - [13.4 Sequence to Sequence](<./Learning/13-Arsitektur-Neural-Network/13.4-Sequence-to-Sequence.md>)\n - [13.5 Arsitektur Lainnya](<./Learning/13-Arsitektur-Neural-Network/13.5-Arsitektur-Lainnya.md>)\n - [13.6 Architecture Ablation](<./Learning/13-Arsitektur-Neural-Network/13.6-Architecture-Ablation.md>)\n - [13.7 Transfer Learning](<./Learning/13-Arsitektur-Neural-Network/13.7-Transfer-Learning.md>)\n - [13.8 Multi- _task_ Learning](<./Learning/13-Arsitektur-Neural-Network/13.8-Multi--_task_-Learning.md>)\n - [Soal Latihan](<./Learning/13-Arsitektur-Neural-Network/Soal-Latihan.md>)\n - [Bagian IV Aplikasi dan Topik Tambahan](<./Learning/Bagian-IV-Aplikasi-dan-Topik-Tambahan.md>)\n - [14 Penerapan Pembelajaran Mesin](<./Learning/14-Penerapan-Pembelajaran-Mesin.md>)\n - [14.1 Sistem Rekomendasi](<./Learning/14-Penerapan-Pembelajaran-Mesin/14.1-Sistem-Rekomendasi.md>)\n - [14.2 Peringkasan Dokumen](<./Learning/14-Penerapan-Pembelajaran-Mesin/14.2-Peringkasan-Dokumen.md>)\n - [14.3 Konklusi](<./Learning/14-Penerapan-Pembelajaran-Mesin/14.3-Konklusi.md>)\n - [14.4 Saran Buku Lanjutan](<./Learning/14-Penerapan-Pembelajaran-Mesin/14.4-Saran-Buku-Lanjutan.md>)\n - [Soal Latihan](<./Learning/14-Penerapan-Pembelajaran-Mesin/Soal-Latihan.md>)\n - [Referensi](<./Learning/Referensi.md>)\n - [Biografi Penulis](<./Learning/Biografi-Penulis.md>)"} | |