AI Books
Recommended AI Books and learning resources
Distributed AI Systems: A practical guide to building scalable training, inference, and serving systems for production AI
Machine Learning Foundations by Roi Yehoshua
The Elements of Statistical Learning - Hastie, Tibshirani, Friedman, Stanford
Introduction to Probability - Blitzstein & Hwang, Harvard
Dive into Deep Learning - Berkeley / Amazon
Computational and Inferential Thinking - Berkeley Data 8
An Introduction to Statistical Learning - Stanford / USC
CS229 Machine Learning Notes - Andrew Ng, Stanford
Convex Optimization - Stephen Boyd, Stanford
Mathematics for Computer Science - MIT 6.042
Introduction to Linear Algebra - Gilbert Strang, MIT
Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Reinforcement Learning from Human Feedback: Alignment and post-training of LLMs
AI Literacy for All: A Conceptual Journey Through Artificial Intelligence and Data Science
1000 ChatGPT Prompts for Business Owners: Work Smarter. Save Time. Grow Faster with AI.
Machine Learning and Artificial Intelligence: Proceedings of MLIS 2025, Hong Kong, 24-26 November 2025
How to Scale Your Model
Dive into Deep Learning