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Elvis Saravia

Editor at dair.ai

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Note: This is a repost of a Twitter threadI posted a month back. Upon several requests, I converted the thread into this Medium post. Enjoy! 💚


When I went to NeurIPS a couple of months back, I noticed a couple of interesting books that I wanted to share. Here are a few that caught my attention and that I would recommend if you are serious about learning the nitty-gritty of NLP and ML:


Reinforcement Learning, Second Edition (An Introduction) By Richard S. Sutton and Andrew G. Barto



Introduction to Natural Language Processing By Jacob Eisenstein



Deep Learning By Ian Goodfellow, Yoshua Bengio and Aaron Courville



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



Introduction to Deep Learning By Eugene Charniak



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



Natural Language Processing with PyTorch By Delip Rao and Brian McMahan



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



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



Finally, I would also recommend the ebook I put together with @soujanyaporia: Modern Deep Learning Techniques Applied to Natural Language Processing. We are working on improving and updating it. Here is the GitHub repo if you are interested in contributing:


https://github.com/omarsar/nlp_overview



There are so many other great books, what others do you recommend?