自用 机器学习资源
=======Book========
《流畅的python》
《统计学习方法》
《机器学习》
《深度学习》
=======BLOG=========
https://www.cnblogs.com/pinard/ 刘建平
http://iamtrask.github.io/page3/
https://machinelearningmastery.com/blog/
=======Website========
https://github.com/Jack-Cherish/Machine-Learning 机器学习实战
=======Math==========
http://immersivemath.com/ila/tableofcontents.html 线性代数
https://www.zhihu.com/question/21082351 直观理解矩阵和线性代数
https://blog.csdn.net/nomadlx53/article/details/50849941 矩阵求导
=======Expert=========
Ian Goodfellow
Andrew Ng
Michael Colin
=======Tool=========
NLP:
CRF++
GIZA
WORD2VEC
NLTK
ML:
scikit-learn
DL:
Tensorflow
Data:
Spark
=======Map=========