Top 10 Recommended ML and NLP Books

Top 10 Recommended ML and NLP Books

  1. Reinforcement Learning, Second Edition (An Introduction) By Richard S. Sutton and Andrew G. Barto
No alt text provided for this image


2. Introduction to Natural Language Processing By Jacob Eisenstein

No alt text provided for this image


3. Deep Learning By Ian Goodfellow, Yoshua Bengio and Aaron Courville

No alt text provided for this image


4. Foundations of Machine Learning, Second Edition By Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar

No alt text provided for this image


5. Introduction to Deep Learning By Eugene Charniak

No alt text provided for this image


6. Natural Language Processing with PyTorch By Delip Rao and Brian McMahan

No alt text provided for this image


7. Dive into Deep Learning By Aston Zhang, Zack C. Lipton, Mu Li, and Alex J. Smola

No alt text provided for this image


8. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow By Aurélien Géron


No alt text provided for this image


9. Python Machine Learning — Third Edition By Sebastian Raschka and Vahid Mirjalili

No alt text provided for this image


10. Machine Learning: An Applied Mathematics Introduction by Paul Wilmott 

No alt text provided for this image







要查看或添加评论,请登录

Ali Abbaszadeh的更多文章

社区洞察

其他会员也浏览了