MA 212M: Understanding Statistical Learning Theory

Course Syllabus

• Linear Regression
• Linear Model Selection and Regularization
• Classification
• Non-linear Regression
• Tree-based Methods
• Support Vector Machine
• Deep Learning
• Multiple Testing
• Survival Analysis

Books

Text Books

• An Introduction to Statistical Learning with Application in R by G. James, D. Witten, T. Hastie, R. Tibshirani Softcopy
• An Introduction to Statistical Learning with Application in Python by G.James, D. Witten, T. Hastie, R. Tibshirani, J. Taylor Softcopy

Reference Book

• The Elements of Statistical Learning} by T. Hastie, R. Tibshirani, J. Friedman Softcopy

Evaluation

Will be informed between August 04 – 06, 2026

Course Materials

To download lecture slides on statistical inference and linear regression, please click here

Lecture Slides

• Topic 00: Introduction
• Topic 01: Linear Regression (A Review)
• Topic 02: Statistical Learning (An Overview)