Machine Learning: A Probabilistic Perspective by Kevin P. Murphy

Machine Learning: A Probabilistic Perspective is a thorough textbook by Kevin P. Murphy that teaches machine learning through a probabilistic framework. Rather than treating machine learning as a collection of isolated algorithms, the book grounds all methods in probability theory, making connections between different approaches clearer. It covers supervised learning, unsupervised learning, and reinforcement learning with detailed mathematical explanations and practical examples. The book is intended for students, researchers, and practitioners who want to understand the theoretical foundations of machine learning rather than just apply off-the-shelf tools. It's particularly valuable for those planning to work in machine learning research or in roles requiring deep algorithmic knowledge.