ISLP Chapters

Index of the ISLP chapter notes included in this site. Chapters 9 (SVM), 11 (Survival), and 13 (Multiple Testing) are listed for completeness but were not covered in this course — the prof explicitly excluded them from the exam.

In scope

• Chapter 1: Introduction
• Chapter 2: Statistical Learning
• Chapter 3: Linear Regression
• Chapter 4: Classification
• Chapter 5: Resampling Methods
• Chapter 6: Linear Model Selection and Regularization
• Chapter 7: Moving Beyond Linearity
• Chapter 8: Tree-Based Methods
• Chapter 8b: Boosting and Additive Trees (this is c.10 from ESL)
• Chapter 10: Deep Learning
• Chapter 12: Unsupervised Learning

Out of scope (not on the exam)

• Chapter 9: Support Vector Machines — “I was going to talk about it, but then we didn’t, and it’s fine.”
• Chapter 11: Survival Analysis and Censored Data — never lectured.
• Chapter 13: Multiple Testing — never lectured.