Book 1: The Elements of Statistical Learning by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
Chapter 1: Introduction (led by Professor Sukjin Han) on 20 Feb 2026
Chapter 2: Overview of Supervised Learning (led by Professor Sukjin Han) on 27 Feb 2026
Chapter 3: Linear Methods for Regression (led by Tom Carr) on 6 March 2026
Chapter 4: Linear Methods for Classification (led by Yassine Bengourram) on 6 & 13 March 2026
Chapter 6: Basis Expansion and Regularisation (led by Tom Carr) on 27 March & 17 April 2026