10 AI textbooks. $0. Written by the researchers who BUILT the field. Most are published by MIT Press. All free to read online. FOUNDATIONS 1. Foundations of Machine Learning (Mohri et al.) 2. Understanding Deep Learning (Simon Prince) 3. Machine Learning Systems (Harvard, open source) 4. Deep Learning (Goodfellow, Bengio, Courville) DECISIONS + REINFORCEMENT LEARNING 5. Algorithms for Decision Making (Kochenderfer et al.) 6. Reinforcement Learning (Sutton and Barto) 7. Distributional Reinforcement Learning (Bellemare et al.) 8. Multi Agent Reinforcement Learning (Albrecht et al.) PROBABILITY + FAIRNESS 9. Probabilistic Machine Learning (Kevin Murphy) 10. Fairness and Machine Learning (Barocas, Hardt, Narayanan) Links in the reply 👇 Bookmark this. Follow @cyrilXBT for resources that actually compound.