Chapter 0: A Preface from Myself

Chapter 1: Introduction

Chapter 2: Overview of Supervised Learning

Chapter 3: Linear Methods for Regression

Chapter 4: Linear Methods for Classification

Chapter 5: Basis Expansions and Regularization

Chapter 6: Kernel Smoothing Methods

Chapter 7: Model Assessment and Selection

Chapter 8: Model Inference and Averaging