Reading List

A curated collection of foundational textbooks and resources related to Machine Learning, Optimization, Physics-based Deep Learning, and Computer Graphics.

• Pattern Recognition and Machine Learning Christopher M. Bishop
• Principles of Data Mining David Hand, Heikki Mannila and Padhraic Smyth
• Randomized Algorithms Rajeev Motwani and Prabhakar Raghavan
• Convex Optimization Stephen Boyd and Lieven Vandenberghe
• Physics-based Deep Learning N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurélien Géron
• Artificial Intelligence - A Modern Approach Stuart J. Russell and Peter Norvig
• Digital Image Processing Rafael C. Gonzalez and Richard E. Woods
• Deep Reinforcement Learning Hands-On Maxim Lapan
• 3D Computer Graphics Alan Watt