This the official website of Basics of Statistical Learning (Stat 432). To get started, please read the Course Syllabus.
.pdf file) to gradescope. Please
use entry code: WV7ZDP to enroll.| Week | Topic |
|---|---|
| Week 1 (Aug 21) | Introduction |
| Week 2 (Aug 28) | Linear Regression and Bias-variance Trade-off |
| Week 3 (Sep 4) | Optimization and Ridge Regression |
| Week 4 (Sep 11) | Lasso |
| Week 5 (Sep 18) | K-nearest neighbors and nonparametric estimation |
| Week 6 (Sep 25) | Kernel Methods, Smoothing and Adaptiveness |
| Week 7 (Oct 2) | Support Vector Machines |
| Week 8 (Oct 9) | Quiz 1, No class on Oct 12 |
| Week 9 (Oct 16) | Classification and Discriminate Analysis |
| Week 10 (Oct 23) | Ensemble Models: Random Forests and Boosting |
| Week 11 (Oct 30) | Unsupervised Learning: Part I |
| Week 12 (Nov 6) | Unsupervised Learning: Part II |
| Week 13 (Nov 13) | Neural Networks, Personalized Medicine and Reinforcement Learning, Quiz 2 |
| Week 14 (Nov 20) | Fall Break |
| Week 15 (Nov 27) | Final Project Presentation |
| Week 16 (Dec 4) | Final Project Presentation |