Books

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)