Summary Introduction Chapter1 Overview Notations Chapter2 Statistical Learning What is Statistical Learning Assessing Model Accuracy Exercise Chapter3 Overview of Supervised Learning Variable Types and Terminology Two Simple Approaches to Prediction Statistical Decision Theory Local Methods in High Dimensions Statistical Models, Supervise Learning and Function Approximation Structured Regression Models Chapter4 Linear Regression Linear Regression Models and Least Squares Subset Selection Shrinkage Methods Methods Using Derived Input Directions Discussion: A Comparison of the Selection and Shrinkage Methods More on the Lasso and Related Path Algorithm Reference