20本机器学习和数据科学必读书籍（附件见沙发）

天籁

▌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

附件如下

shinchan

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！！！

clearlove

很棒的资料

jackieecon

thanks for sharing!!!