http://mindhacks.cn/2008/09/11/machine-learning-and-ai-resources/

https://www.amazon.com/Information-Theory-Inference-Learning-Algorithms/dp/0521642981

http://athena.nitc.ac.in/kmurali/Courses/ITAUG07/mckay.pdf

All of Statistics: A Concise Course in Statistical Inference

The Elements of Statistical Learning:Data Mining,Inference,and Prediction 2nd ed.

http://www.deeplearningbook.org/

https://www.amazon.com/Artificial-Intelligence-Modern-Approach-3rd/dp/0136042597/ref=sr_1_2?ie=UTF8&qid=1479035063&sr=8-2&keywords=artificial+intelligence

https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

https://www.amazon.com/Bayesian-Methods-Hackers-Probabilistic-Addison-Wesley/dp/0133902838/ref=sr_1_1?ie=UTF8&qid=1496076459&sr=8-1&keywords=Bayesian+Methods+for+Hackers

https://www.amazon.cn/%E5%9B%BE%E4%B9%A6/dp/1461471370/ref=sr_1_1?ie=UTF8&qid=1496159907&sr=8-1&keywords=An+Introduction+to+Statistical+Learning%3A+with+Applications+in+R

An Introduction to Statistical Learning: with Applications in R

https://www.amazon.cn/%E5%88%9D%E7%AD%89%E6%A6%82%E7%8E%87%E8%AE%BA-%E9%92%9F%E5%BC%80%E8%8E%B1/dp/B003GXFBMA/ref=pd_sim_14_4?ie=UTF8&psc=1&refRID=9JKDYY88PJ0YBQS22Z7D

https://www.amazon.com/Introduction-Statistical-Learning-Applications-Statistics/dp/1461471370/ref=pd_sim_14_5?_encoding=UTF8&pd_rd_i=1461471370&pd_rd_r=4B8WETYZADYM180XFQZX&pd_rd_w=CgNXZ&pd_rd_wg=v5AQY&psc=1&refRID=4B8WETYZADYM180XFQZX

https://www.amazon.com/Elements-Information-Theory-Telecommunications-Processing/dp/0471241954/ref=pd_sim_14_2?_encoding=UTF8&pd_rd_i=0471241954&pd_rd_r=A04QFXZAMRBCNQ4VPK1K&pd_rd_w=6wKHx&pd_rd_wg=dp1ZM&psc=1&refRID=A04QFXZAMRBCNQ4VPK1K

https://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020/ref=pd_sim_14_3?_encoding=UTF8&pd_rd_i=0262018020&pd_rd_r=A04QFXZAMRBCNQ4VPK1K&pd_rd_w=6wKHx&pd_rd_wg=dp1ZM&psc=1&refRID=A04QFXZAMRBCNQ4VPK1K

数学之美番外篇：平凡而又神奇的贝叶斯方法

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

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