Skip to content

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

License

Notifications You must be signed in to change notification settings

szcf-weiya/ESL-CN

Repository files navigation

ESL-CN

gh-pages Gitter

The Elements of Statistical Learning (ESL) 的中文翻译、代码实现及其习题解答。

习题解答

代码实现

  1. EM 算法模拟
  2. 朴素贝叶斯进行文本挖掘
  3. CART实现
  4. AdaBoost实现R&Julia
  5. MARS实现
  6. RBM,或者可以查看 Jupyter Notebook
  7. Gibbs
  8. Self-organized Map
  9. kernel estimation
  10. Resampling Method: 包括交叉验证(cv)和自助法(bootstrap)
  11. Neural Network: Simple ClassificationImplementation for Section 11.6
  12. 高维问题例子: 例18.1的模拟

文献统计

Chap AOS JASA JRSS BKA percentage
3 1 0 3 0 4/14
4 0 0 0 0 0/7
5 0 0 0 1 1/11
7 4 6 2 0 12/23
8 1 4 1 0 6/17
9 0 1 0 0 1/11
10 9 0 0 0 9/25
12 2 1 1 0 4/14
14 1 1 0 0 2/14
15 1 0 0 0 1/8
17 0 0 0 0 0/12
18 1 3 4 0 8/21
---- ---- ---- ---- ---- ----

About

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Sponsor this project

 

Packages

No packages published