1.斯坦福大学公开课机器学习 （吴恩达 Andrew Ng）

http://open.163.com/special/opencourse/machinelearning.html

笔记

http://cs229.stanford.edu/syllabus.html

http://www.cnblogs.com/jerrylead/default.html?page=3

http://www.cnblogs.com/madrabbit/

https://blog.csdn.net/xiahouzuoxin

https://blog.csdn.net/u010249583

https://blog.csdn.net/stdcoutzyx/article/details/17741475

https://blog.csdn.net/stdcoutzyx/article/details/53869661

https://blog.csdn.net/app_12062011/article/details/50577717

https://blog.csdn.net/antkillerfarm/article/details/52980075

https://www.cnblogs.com/llhthinker/p/5351201.html

https://blog.csdn.net/dingchenxixi/article/details/51479003

随着模型的复杂度增加，虽然偏差会不断减小，但方差先减小后增大，模型的泛化误差也是先减小后增大，因此需要在“欠拟合”和“过拟合”之间寻找合适的模型复杂度。衡量模型的复杂度通常有AIC准则（AkalikeInformation Criterion）、BIC准则（BayesianInformation Criterion）等方法。

https://blog.csdn.net/baidu_35231778/article/details/52221400

2.数学之美

http://mindhacks.cn/2008/09/21/the-magical-bayesian-method/

3.svm

http://www.cnblogs.com/LeftNotEasy/archive/2011/05/02/basic-of-svm.html

http://www.10tiao.com/html/520/201711/2650725003/3.html

https://blog.csdn.net/v_july_v/article/details/7624837

https://blog.csdn.net/lch614730/article/details/17067027

https://www.jianshu.com/u/511ba5d71aef

http://www.cnblogs.com/vipyoumay/p/7560061.html

4.k-means

http://blog.pluskid.org/?p=17

http://www.cnblogs.com/jerrylead/archive/2011/04/06/2006910.html

5.em

https://zhuanlan.zhihu.com/p/24655368

https://blog.csdn.net/zhihua_oba/article/details/73776553

https://www.cnblogs.com/fxjwind/p/3896113.html

https://www.cnblogs.com/xuesong/p/4179459.html

https://www.cnblogs.com/yymn/p/4769736.html

6.pca

https://blog.csdn.net/mmc2015/article/details/42459753

https://blog.csdn.net/chlele0105/article/details/13004499

https://blog.csdn.net/zhangdadadawei/article/details/50929574

https://blog.csdn.net/mmc2015/article/details/42459753

7.svd

https://blog.csdn.net/zhongkejingwang/article/details/43083603

https://blog.csdn.net/xmu_jupiter

http://www.infoq.com/cn/articles/matrix-decomposition-of-recommend-system

https://blog.csdn.net/syani/article/details/52297093

https://blog.csdn.net/american199062/article/details/51344067

8.PRML

https://baijiahao.baidu.com/s?id=1585194960281334902&wfr=spider&for=pc

https://github.com//ctgk/PRML

9.