Supplemental course notes and links to useful external resources will be posted here.
Supplemental Lecture Notes
Week 1 - Course Overview & Introduction to ML (2025-01-28)
Week 2 - Regression I (2025-02-04)
Week 3 - Regression II (2025-02-11)
Week 4 - Regression III (2025-02-25)
Week 5 - Introduction to Classification (2025-03-04)
Week 6 - Classification I (2025-03-11)
Week 7 - Classification II (2025-03-18)
Week 8 - Ensemble Learning & Resampling Methods (2025-03-25)
Week 9 - Tree-Based Methods (2025-04-01)
Week 10 - Introduction to Unsupervised Learning (2025-04-08)
Week 11 - Unsupervised Learning I (2025-04-22)
Week 12 - Unsupervised Learning II (2025-04-29)
Week 13 - Introduction to Generative Models (2025-05-06)