Statistical Learning

Henry Horng-Shing Lu (盧鴻興)

Institute of Statistics
National Chiao Tung University

Tel: 03-5731870 Email: hslu@stat.nctu.edu.tw

Goals:

This course will introduce state-of-art techniques of statistical learning with kernel methods. Systematical introduction will be provided from classical to modern methods. Methodology explanations will be given with computation codes in Matlab, R, Weka and other applications packages. Hands-on experience is emphasized using illustrations and reproducible examples. Undergraduate knowledge of probability and statistics will be helpful for the understanding of this course. Related materials will be post at the course web page in http://www.stat.nctu.edu.tw/people/bio.php?PID=16.

Course Outlines:

  • Introduction
  • Supervised learning
  • Unsupervised learning
  • Dimension reduction
  • Kernel methods

References:

Evaluation:

  • Homework: 70%
  • Term Project: 30%

Links: