Statistical Learning Data Mining

AY2017/2018 Semester 1

This course gives an overall view of the modern statistical/machine learning techniques for miningmassive datasets. 1. Optimal decision rules and K-nearest neighbors methods; 2. linear models for regression; 3. Generalized linear models for classification; 4. Cross-validation and bootstrap methods; 5. Ridge Regression and LASSO; 6. Artificial neural networks; 7. Classification and regression trees and ensemble methods; 8. Clustering methods; 9. Advanced topics.