統計學習
Statistical Learning
| 節 | 週四 |
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5 13:20–14:10 | 統計學習 A427 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course will introduce state-of-art techniques of statistical learning with kernel methods. Systematic introduction will be provided from classical to modern methods. Methodology explanations will be given with computation codes in R 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 posted at the course web page.
Probability and Statistics.
http://misg.stat.nycu.edu.tw/Statistical%20Learning%202009f%20syllabus.htm
Homework: 70% Term Project: 30%
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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. K.-T. Tsai, Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction(2021). Chapman and Hall/CRC.
- 地點
- A418
- 時間
- By appointment.
- 聯絡方式
- Email: henryhslu@nycu.edu.tw