ML常用资料链接
1.1000题
https://blog.csdn.net/v_JULY_v/article/details/78121924
2.EM算法详解
http://www.csuldw.com/2015/12/02/2015-12-02-EM-algorithms/
3.SVM算法详解
https://blog.csdn.net/v_july_v/article/details/7624837
4.PCA算法详解---
全局范围理解--周志华老师的西瓜书，以及具体的应用例子，下文便是：
https://blog.csdn.net/program_developer/article/details/80632779?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160245919819195240461530%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160245919819195240461530&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~first_rank_ecpm_v3~pc_rank_v3-4-80632779.wap_ecpm_v3_pc_rank_v3&utm_term=pca&spm=1018.2118.3001.4187
至于具体的推导公式，可以参考下面这篇文章：
https://blog.csdn.net/zhongkejingwang/article/details/42264479/
5.拉格朗日与KKT条件
https://www.cnblogs.com/ooon/p/5721119.html
6.逻辑回归
https://blog.csdn.net/qq_38923076/article/details/82925183?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160574900619724836720588%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160574900619724836720588&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~top_click~default-2-82925183.wap_ecpm_v3_pc_rank_v3&utm_term=%E9%80%BB%E8%BE%91%E5%9B%9E%E5%BD%92&spm=1018.2118.3001.4187
7.SMO算法
https://www.cnblogs.com/xxrxxr/p/7538430.html
8.集成学习
https://xijunlee.github.io/2017/06/03/%E9%9B%86%E6%88%90%E5%AD%A6%E4%B9%A0%E6%80%BB%E7%BB%93/
9.隐马尔科夫
https://blog.csdn.net/weixin_41923961/article/details/82750687?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160631846319721942263306%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160631846319721942263306&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~top_click~default-3-82750687.wap_ecpm_v3_pc_rank_v3&utm_term=%E9%9A%90%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB&spm=1018.2118.3001.4187
