Lecture slides for STAT 577, Spring 2026.
| Week | Topic | Link |
|---|---|---|
| 1 | Foundations of Statistical Learning | View |
| 2 | Linear Models | View |
| 3 | Regularization | View |
| 4–5 | Resampling, Model Selection & Conformal Prediction | View |
| 6 | Classification | View |
| 7–8 | Trees & Ensembles | View |
| 9A | Neural Networks: Intuition | View |
| 11 | Neural Networks: Foundations | View |
| 12 | Modern Deep Learning | View |
| 15 | LLMs and the Frontier | View |
| Topic | Link |
|---|---|
| Neural Network Pipeline Diagram | View |
| Neural Network Backprop Walkthrough | View |
Soumojit Das
WSU, Pullman, WA
Spring, 2026