GETTING STARTED
Appx A Installation
Ch 1 A machine learning odyssey
Ch 2 TensorFlow essentials
CORE ALGORITHMS
Ch 3 Linear regression and beyond
Ch 4 An introduction to classification
Ch 5 Automatically clustering data
Ch 6 Hidden Markov models
NEURAL NETWORKS
Ch 7 A peek into autoencoders
Ch 8 Reinforcement Learning
Ch 9 Convolutional neural networks
Ch 10 Recurrent neural networks
Ch 11 Sequence-to-sequence models
Ch 12 Utility Landscape