天籁 发表于 2018-5-31 16:50:41

20本机器学习和数据科学必读书籍（附件见沙发）

▌1. Think Stats: Probability and Statistics for Programmers作者：Allen B. Downey▌2. Probabilistic Programming & Bayesian Methods for Hackers作者：Cam Davidson-Pilon▌3. Understanding Machine Learning: From Theory to Algorithms作者：Shai Shalev-Shwartz and Shai Ben-David▌4. The Elements of Statistical Learning作者：Trevor Hastie, Robert Tibshirani and Jerome Friedman▌5. An Introduction to Statistical Learning with Applications in R作者：Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani▌6. Foundations of Data Science作者：Avrim Blum, John Hopcroft, and Ravindran Kannan▌7. A Programmer's Guide to Data Mining: The Ancient Art of the Numerati作者：Ron Zacharski▌8. Mining of Massive Datasets作者：Jure Leskovec, Anand Rajaraman and Jeff Ullman▌9. Deep Learning作者：Ian Goodfellow, Yoshua Bengio and Aaron Courville▌10. Machine Learning Yearning作者：Andrew Ng▌11. Python Data Science Handbook作者：Jake VanderPlas▌12. Neural Networks and Deep Learning作者：Michael Nielsen▌13. Think Bayes作者：Allen B. Downey▌14. Machine Learning & Big Data作者：Kareem Alkaseer▌15. Statistical Learning with Sparsity: The Lasso and Generalizations作者：Trevor Hastie, Robert Tibshirani, Martin Wainwright▌16. Statistical inference for data science作者：Brian Caffo▌17. Convex Optimization作者：Stephen Boyd and Lieven Vandenberghe▌18. Natural Language Processing with Python作者：Steven Bird, Ewan Klein, and Edward Loper▌19. Automate the Boring Stuff with Python作者：Al Sweigart▌20. Social Media Mining: An Introduction作者：Reza Zafarani, Mohammad Ali Abbasi and Huan Liu

天籁 发表于 2018-5-31 16:51:07

附件如下

shinchan 发表于 2018-6-1 12:32:25

天籁 发表于 2018-5-31 16:51
附件如下

哇！刚好最近需要用到！感谢！！！:handshake

clearlove 发表于 2018-6-27 08:55:27

很棒的资料

jackieecon 发表于 2018-7-18 07:09:57

thanks for sharing!!!
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