机器学习经典教程

ai learning:
https://github.com/apachecn/ai-roadmap/blob/master/ai-union-201904/README.md

ML核心https://zhuanlan.zhihu.com/p/41623425

svm推导,写得很详细: https://mp.weixin.qq.com/s?__biz=MzU4MjQ3MDkwNA==&mid=2247483937&idx=1&sn=84a5acf12e96727b13fd7d456c414c12&chksm=fdb69fb6cac116a02dc68d948958ee731a4ae2b6c3d81196822b665224d9dab21d0f2fccb329&token=1065243837&lang=zh_CN#rd

决策树剪枝及CART
https://blog.csdn.net/u014688145/article/details/53326910

逻辑回归-最大似然
https://blog.csdn.net/zjuPeco/article/details/77165974
逻辑回归损失函数为什么使用最大似然估计而不用最小二乘法？
https://www.zhihu.com/question/65350200

概率论几个常见定理的解释, 很详细:
https://www.cnblogs.com/LittleHann/p/9569708.html

一个很厉害的博客:
https://www.csuldw.com/categories/ML/

[The Elements of Statistical Learning]中文翻译:
(https://esl.hohoweiya.xyz/book/The%20Elements%20of%20Statistical%20Learning.pdf)

https://esl.hohoweiya.xyz/