The Elements of Statistical Learning (ESL) 的中文翻译、代码实现及其习题解答。
- EM 算法模拟
- 朴素贝叶斯进行文本挖掘
- CART实现
- AdaBoost实现R&Julia
- MARS实现
- RBM，或者可以查看 Jupyter Notebook
- Gibbs
- Self-organized Map
- kernel estimation
- Resampling Method: 包括交叉验证(cv)和自助法(bootstrap)
- Neural Network: Simple Classification，Implementation for Section 11.6
- 高维问题例子: 例18.1的模拟
| 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 |
| ---- | ---- | ---- | ---- | ---- | ---- |
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