Chapter 1: Basics of Machine Learning
Chapter 2: Linear regression
Chapter 3: Logistic regression
Chapter 4: Decision tree
Chapter 5: Random forest
Chapter 6: GBM
Chapter 7: Neural network
Chapter 8: word2vec
Chapter 9: Convolutional neural network
Chapter 10: Recurrent Neural Network
Chapter 11: Clustering
Chapter 12: PCA
Chapter 13: Recommender systems
Chapter 14: Implementing algorithms in the cloud.