Books

Mathematics

• Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares by Stephen Boyd and Lieven Vandenberghe 
• Convex Optimization by Boyd and Vandenberghe 
• Mathematics for Computer Science (eBook) 
• Mathematics for Machine Learning 
• Machine Learning: A Probabilistic Perspective (2012) 
• Probabilistic Machine Learning: An Introduction (2022) 
• Probabilistic Machine Learning: Advanced Topics (2023) 
• The Mathematical Engineering of Deep Learning 

Machine Learning

• Machine Learning Refined: Foundations, Algorithms, and Applications 
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 

Artificial Intelligence

• Artificial Intelligence: A Modern Approach 
• Artificial Intelligence: A Textbook by Charu C. Aggarwal 

Natural Language Processing

• Speech and Language Processing by Dan Jurafsky and James H. Martin 

Deep Learning

• Deep Learning (Adaptive Computation and Machine Learning series) 
• Deep Learning Illustrated 
• Deep Learning for Coders with Fastai and PyTorch 
• Dive into Deep Learning [PDF][Free] 
• Understanding Deep Learning (E-Book)