PSL_Book
1. Introduction
2. Linear Regression
3. Variable Selection and Regularization
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
11.1. Introduction
11.2. The Separable case
11.3. The Non-separable case
11.4. Nonlinear SVMs
11.5. Appendix
12. Classification Trees and Boosting
13. Recommender System
PSL_Book
11.
Support Vector Machine
11.1.
Introduction
11.1.
Introduction
A less technical introduction to SVM: [
lec_W11_SVM_intro.pdf
]