{"repo":"szcf-weiya/ESL-CN","free":true,"listed":false,"github":"https://github.com/szcf-weiya/ESL-CN","clone":"git clone https://github.com/szcf-weiya/ESL-CN.git","description":"The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。","language":"Jupyter Notebook","stars":2764,"topics":["esl","statistical-learning","esl-cn","r","julia","python","cpp"],"license":"GPL-3.0","category":"machine-learning","readme_excerpt":"ESL-CN 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 Classification，Implementation 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 ---- ---- ---- ---- ---- ----","default_branch":null,"files":null,"tree":[],"storefront":"/r/szcf-weiya","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/szcf-weiya/ESL-CN/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}