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Modeling\ 8:40 Topic Modeling with Latent Dirichlet Allocation (LDA) in Python 20:18 Non-Negative Matrix Factorization (NMF) Intuition 30:39 Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python 36:13 Topic Modeling Section Summary Semantic Analysis (Latent Semantic Indexing)\ 37:50 LSA LSI Section Introduction 41:57 SVD (Singular Value Decomposition) Intuition 54:08 LSA LSI Applying SVD to NLP 1:01:55 Latent Semantic Analysis Latent Semantic Indexing in Python 1:11:10 LSA LSI Exercises Learning (Introduction)\ 1:17:11 Deep Learning Introduction (Intermediate-Advanced) Neuron\ 1:22:09 The Neuron - Section Introduction 1:24:29 Fitting a Line 1:38:53 Classification Code Preparation 1:46:13 Text Classification in Tensorflow 1:58:23 The Neuron 2:08:22 How does a model learn 2:19:16 The Neuron - Section Summary Artificial Neural Networks\ 2:21:07 ANN - Section Introduction 2:28:07 Forward Propagation 2:37:47 The Geometrical Picture 2:47:31 Activation Functions 3:04:50 Multiclass Classification 3:13:31 ANN Code Preparation 3:18:06 Text Classification ANN in Tensorflow 3:23:49 Text Preprocessing Code Preparation 3:35:23 Text Preprocessing in Tensorflow 3:40:53 Embeddings 3:51:07 CBOW (Advanced) 3:55:15 CBOW Exercise Prompt 3:56:12 CBOW in Tensorflow (Advanced) 4:15:37 ANN - Section Summary 4:17:09 Aside How to Choose Hyperparameters (Optional) Neural Networks\ 4:23:31 CNN - Section Introduction 4:28:06 What is Convolution 4:44:44 What is Convolution (Pattern Matching) 4:50:41 What is Convolution (Weight Sharing) 4:57:22 Convolution on Color Images 5:13:21 CNN Architecture 5:34:20 CNNs for Text 5:42:27 Convolutional Neural Network for NLP in Tensorflow 5:47:59 CNN - Section Summary Neural Networks\ 5:49:27 RNN - Section Introduction 5:54:13 Simple RNN Elman Unit (pt 1) 6:03:33 Simple RNN Elman Unit (pt 2) 6:13:15 RNN Code Preparation 6:23:01 RNNs Paying Attention to Shapes 6:31:28 GRU and LSTM (pt 1) 6:49:03 GRU and LSTM (pt 2) 7:00:40 RNN for Text Classification in Tensorflow 7:06:37 Parts-of-Speech (POS) Tagging in Tensorflow 7:26:27 Named Entity Recognition (NER) in Tensorflow 7:31:40 RNN - Section Summary Up Your Environment FAQ\ 7:33:39 Anaconda Environment Setup 7:54:00 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow Help With Python Coding for Beginners FAQ\ 8:11:14 How to Code by Yourself (part 1) 8:27:08 How to Code by Yourself (part 2) 8:36:32 Proof that using Jupyter Notebook is the same as not using it Learning Strategies for Machine Learning FAQ\ 8:49:01 How to Succeed in this Course (Long Version) 8:59:26 Is this for Beginners or Experts Academic or Practical Fast or slow-paced 9:21:30 Machine Learning and AI Prerequisite Roadmap (pt 1) 9:32:49 Machine Learning and AI Prerequisite Roadmap (pt 2) FAQ Finale\ 9:48:56 What is the Appendix 9:51:44 BONUS
