Statistical Learning
Contents
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
Chapter 9: Additive Models, Trees, and Related Methods