統計學習與資料探勘

• 開課系所 : 應用數學系碩士班
• 授課教師 : 郭美惠
• 授課方式 : 課堂講授
• 學分數 : 3學分

課程目標

Statistical learning refers to a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer science and, in particular, machine l earning. This course encompasses many methods such as the lasso and sparse regression, classification and regression trees, and boosting and support vector machines.

課程大綱

1. Introduction
2. Statistical Learning
3. Linear Regression
4. Classification
5. Resampling Methods
6. Linear Model Selection and Regularization
7. Moving Beyond Linearity
8. Tree-Based Methods
9. Support Vector Machines
10. Unsupervised Learning