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
9.1. Introduction to Classification
9.2. Discriminant Analysis
9.3. Quadratic Discriminant Analysis
9.4. Linear Discriminant Analysis
9.5. Fisher Discriminant Analysis
9.6. Naive Bayes Classifiers
9.7. Summary
10. Logistic Regression
11. Support Vector Machine
12. Classification Trees and Boosting
13. Recommender System
PSL_Book
9.
Discriminant Analysis
9.
Discriminant Analysis
9.1. Introduction to Classification
9.2. Discriminant Analysis
9.3. Quadratic Discriminant Analysis
9.4. Linear Discriminant Analysis
9.5. Fisher Discriminant Analysis
9.6. Naive Bayes Classifiers
9.7. Summary