Statistical Machine Learning
Graduate course, Department of Mathematics, National Central University, 2026
Spring 2026 · Department of Mathematics, National Central University
Course code: MA5043 (3 credits)
An introduction to the theory of statistical machine learning and its implementation in data analysis, with emphasis on extracting useful information from high-dimensional and complex data.
Topics:
- Linear models
- Classification
- Resampling methods
- Regularization
- Support vector machines
- Tree-based methods
- Unsupervised learning
Textbooks:
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2009). An Introduction to Statistical Learning with Applications in R. Springer.