Introduction to machine learning (Page-1), Preparing to model (Page-28), Modeling and evaluation (Page-61), Basic of feature engineering (Page-91), Brif overview of probability (Page-117), Bayesian concept learning (Page-148), Supervised learning classification (Page-175), Supervised learning regression (Page-215), Unsupervised learning (Page-241), Basic of neural network (Page-272), Other types of learning (Page-301).