Thomas Wolf
Co-founder and chief science officer of Hugging Face; writes about open models and where he thinks the field is wrong.
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig (http://aima.cs.berkeley.edu/) is a great ressource for all pre-neural-network tools and methods.
on thomwolf.io · 1 Jan 2024
Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville
The "Deep Learning" Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville (https://www.deeplearningbook.org/) is a good ressource to get a quick overview of the current tools.
on thomwolf.io · 1 Jan 2024
Information Theory, Inference and Learning Algorithms by David MacKay
"Information Theory, Inference and Learning Algorithms" by David MacKay (http://www.inference.org.uk/mackay/itila/book.html) is a little gem that explain propabilities and Information theory so clearly it's almost unbelievable.
on thomwolf.io · 1 Jan 2024
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
"Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy (https://www.cs.ubc.ca/~murphyk/MLbook/) is a great ressource to go deeper in the probabilistic approach and get a good exposure to Bayesian tools.
on thomwolf.io · 1 Jan 2024
Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra, Thomas Wolf
read our book on NLP and transformers. It predate ChatGPT but it's still super relevant and goes up to training a LLM at the end: https://www.oreilly.com/library/view/natural-language-processing/9781098136789/
on thomwolf.io · 1 Jan 2024
Neural Network Methods in Natural Language Processing by Yoav Goldberg
Yoav Goldberg's book on "Neural Network Methods in Natural Language Processing" (https://www.amazon.com/Language-Processing-Synthesis-Lectures-Technologies/dp/1627052984) is nice too (see also an older free version here https://arxiv.org/abs/1510.00726)
on thomwolf.io · 1 Jan 2024
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
"Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto (http://incompleteideas.net/book/the-book.html) is a great ressource to get an introductory exposure to Reinforcement Learning
on thomwolf.io · 1 Jan 2024
The Book of Why: The New Science of Cause and Effect by Judea Pearl
"The Book of Why: The New Science of Cause and Effect" by Pearl, Judea is a good introduction to Causality (more accessible than the big "Causality: Models, Reasoning and Inference")
on thomwolf.io · 1 Jan 2024
Everything Thomas Wolf recommends — not just books — on rcmnd →