【課程筆記】機器學習課程 Andrew Ng( cs229 /coursera)

http://www.ccs.neu.edu/home/vip/teach/MLcourse/html/schedulen_mod.html

http://www.cnblogs.com/fxjwind/p/3915223.html

http://blog.csdn.net/dark_scope/article/details/8227329

http://www.cnblogs.com/jerrylead/archive/2011/04/19/2021071.html

http://blog.csdn.net/A_cainiao_A/article/category/6039582/2

https://github.com/Kivy-CN/Stanford-CS-229-CN

1-3

知乎

https://zhuanlan.zhihu.com/p/25703402


4GMMS

http://www.cnblogs.com/jcchen1987/p/4424436.html

http://blog.csdn.net/sz464759898/article/details/44342923

http://blog.csdn.net/EmilSinclair4391/article/details/51077658

http://www.cnblogs.com/sumai/p/5258081.html

5 SVM:

爲什麼引入函數間距、幾何間距?

https://www.zhihu.com/question/20466147


爲什麼低維線性不可分,高維可分?

https://www.zhihu.com/question/27210162

https://www.zhihu.com/question/35558584

爲什麼引入拉格朗日?

https://www.zhihu.com/question/36694952


爲什麼高斯核會映射到無窮?

https://www.zhihu.com/question/35602879


n+d,n()http://www.cnblogs.com/jerrylead/archive/2011/03/18/1988406.html#3160616

http://www.cnblogs.com/fxjwind/p/3685760.html

http://zhihaozhang.github.io/2014/05/08/svm1/

http://blog.csdn.net/vivihe0/article/details/7019826

http://blog.csdn.net/passball/article/details/7661887

http://blog.csdn.net/aspirinvagrant/article/details/45306783

http://blog.csdn.net/aspirinvagrant/article/details/40299797

http://blog.csdn.net/u010249583/article/details/71403539

https://www.zhihu.com/question/21094489

http://blog.csdn.net/abcjennifer/article/details/7849812

http://blog.csdn.net/Victor_Gun/article/details/45228071?locationNum=9&fps=1

http://www.cnblogs.com/bourneli/p/4216750.html

http://www.coin163.com/it/x7805322851536263583/python-SVM

http://www.th7.cn/Program/Python/201508/545577.shtml

http://blog.csdn.net/xiaocainiaodeboke/article/details/50448140

http://blog.pluskid.org/?page_id=683

http://liuhongjiang.github.io/hexotech/2012/12/26/svm/

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

http://blog.csdn.net/SCUT_Arucee/article/details/50419229?locationNum=13&fps=1

http://lib.csdn.net/article/machinelearning/35078

http://www.yalewoo.com/andrew_ng_machine_learning_notes_7_support_vecrot_machines.html

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

http://www.cnblogs.com/jerrylead/archive/2011/03/18/1988406.html

https://www.zhihu.com/question/19684187/answers/created

https://www.zhihu.com/question/30638202

https://www.zhihu.com/question/40546280

https://www.zhihu.com/question/22491598

https://www.zhihu.com/question/33268516

https://www.zhihu.com/question/24757055

https://www.zhihu.com/question/38447444

https://www.zhihu.com/question/26632694



http://www.cnblogs.com/90zeng/p/Independent_Components_Analysis.html


 http://blog.csdn.net/u013985291/article/details/72870559

http://m.blog.csdn.net/article/details?id=51251153

http://www.cnblogs.com/mindpuzzle/p/3730534.html

https://zhuanlan.zhihu.com/p/27222432

http://transcoder.tradaquan.com/from=1012852q/bd_page_type=1/ssid=0/uid=0/pu=usm%401%2Csz%40320_1004%2Cta%40iphone_2_6.0_11_8.8/baiduid=0327C0F4D18D33154B1E875C4DA7F3CF/w=10_10_/t=iphone/l=3/tc?ref=www_iphone&lid=8978484595925699972&order=5&fm=alhm&h5ad=1&srd=1&dict=32&tj=h5_mobile_5_10_10_title&w_qd=IlPT2AEptyoA_ykw-vgbrOuu_FJSoooo8lQYmwMYdBV7GA2b&sec=21582&di=8bbfc30965895b3e&bdenc=1&nsrc=IlPT2AEptyoA_yixCFOxXnANedT62v3IEQGG_ytK1DK6mlrte4viZQRASDfuLnyZG5T7rW3EhgoDliXdKz6-lMU1u_9SsWsh88Xlde_kxsjS&clk_info=%7B%22srcid%22%3A%221599%22%2C%22tplname%22%3A%22h5_mobile%22%2C%22t%22%3A1496818220224%2C%22sig%22%3A%226490%22%2C%22xpath%22%3A%22div-a-h3%22%7D

http://m.blog.csdn.net/article/details?id=24906309

http://m.fx114.net/qa-203-123170.aspx

http://www.cnblogs.com/jerrylead/archive/2011/04/18/2020209.html

http://m.blog.csdn.net/article/details?id=55805374

http://m.blog.csdn.net/article/details?id=55805374

http://m.blog.csdn.net/article/details?id=42463611

9)kmeans:

http://blog.csdn.net/sinat_35512245/article/details/55051306

https://www.zhihu.com/question/31296149

http://www.cnblogs.com/jcchen1987/p/4531561.html


10)mixtures of gaussians and the EM algorithms

http://blog.csdn.net/manji_lee/article/details/41335307

http://blog.csdn.net/sinat_22594309/article/details/65629407

http://blog.csdn.net/golden1314521/article/details/46051431

http://www.cnblogs.com/mindpuzzle/p/3730534.html#2-2-_EM算法E步

http://www.w2bc.com/Article/23086

http://www.cnblogs.com/xingshansi/p/6584555.html

13)PCA

http://blog.csdn.net/watkinsong/article/details/38536463

http://blog.codinglabs.org/articles/pca-tutorial.html

http://blog.csdn.net/yobobobo/article/details/47627701

http://blog.csdn.net/ironyoung/article/details/49154327


16)deep learning

http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

http://blog.csdn.net/zouxy09/article/category/1387932

http://ufldl.stanford.edu/tutorial/supervised/LinearRegression/

http://www.cnblogs.com/wdsunny/p/6477018.html

http://www.cnblogs.com/tornadomeet/tag/Deep%20Learning/default.html?page=3

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