PSL_Book
1. Introduction
2. Linear Regression
3. Variable Selection and Regularization
3.1. Subset Selection
3.2. Regularization
3.3. Ridge Regression
3.4. Lasso Regression
3.5. Discussion
4. Regression Trees and Ensemble
5. Nonlinear Regression
6. Clustering Analysis
7. Latent Structure Models
8. TBA
9. Discriminant Analysis
10. Logistic Regression
11. Support Vector Machine
12. Classification Trees and Boosting
13. Recommender System
PSL_Book
3.
Variable Selection and Regularization
3.
Variable Selection and Regularization
3.1. Subset Selection
3.2. Regularization
3.3. Ridge Regression
3.4. Lasso Regression
3.5. Discussion