Schedule
| Time | Session | Materials | |
|---|---|---|---|
| 9:00 | Theory | Local Methods and Model Selection | slides |
| Theory | Regularization and Nonparametrics | slides | |
| Theory | Dimensionality Reduction and Variable Selection | slides | |
| 1:30 | (Optional) | MATLAB Warm-Up: Data Generation | code |
| Practice | k-NN and Cross-validation | code | |
| Practice | Regularized Least Squares (RLS) | code | |
| Practice | Kernel RLS | code/data | |
| Practice | PCA and Orthogonal Matching Pursuit (OMP) | code | |
| (Optional) | Learning with Real Data | code/data |