Statistical learning and modelling II
This course will follow from the previous course last semester. We will finish the statistical theory in Wasserman and then turn to additional theory in ESL and the Python labs in ISL.
讲师
孟思哲
日期
2024年03月08日 至 06月03日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周五 | 15:00 - 19:00 | Online | ZOOM 05 | 293 812 9202 | BIMSA |
修课要求
The previous course, or a broad theoretical basis in statistics.
参考资料
Larry Wasserman, All of Statistics
Larry Wasserman, All of Nonparametric Statistics
James et al, Introduction to Statistical Learning
Hastie et al, Elements of Statistical Learning
Larry Wasserman, All of Nonparametric Statistics
James et al, Introduction to Statistical Learning
Hastie et al, Elements of Statistical Learning
听众
Graduate
视频公开
公开
笔记公开
公开
语言
英文