Here's a curated list of books, papers, and articles I've read over the years that I recommend for anyone interested in Machine Learning and related AI topics. I often find myself returning to this collection to revisit and deepen my understanding of key concepts and ideas. While it's a handy resource for my own reference, I thought it might also be helpful to share it with others who share a passion for AI.
Foundations of Large Language Models
Tong Xiao, Jingbo Zhu
https://arxiv.org/abs/2501.09223
Deep Learning
Ian Goodfellow and Yoshua Bengio and Aaron Courville
https://www.deeplearningbook.org
Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto
http://incompleteideas.net/book/the-book-2nd.html
Machine Learning Yearning Book
Andrew NG
https://info.deeplearning.ai/machine-learning-yearning-book