統計學習

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 R, Matlab, 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.

Probability and Statistics.

http://www.stat.nctu.edu.tw/misg/Statistical%20Learning%202009f%20syllabus.htm

Homework: 70% Term Project: 30%

G. James, D. Witten, T. Hastie and R. Tibshirani. An Introduction to Statistical Learning: with Applications in R (2013). Springer-Verlag. T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning (2009). Second Edition, Springer-Verlag.

地點

A418

時間

By appointment.

聯絡方式

Email: henryhslu@nycu.edu.tw