Machine Intelligence: Concepts and Mathematics

Machine Intelligence: Concepts and Mathematics bridges the gap between an informal introduction to machine learning and a rigorous analysis of the concepts and mathematics of machine learning. The book applies the basic mathematical tools for machine learning: linear regression, PCA, support vector machines, and hidden Markov chains to neural networks and reinforcement learning. For students and practitioners with a mathematical background, the derivations in the text help to build intuition and mathematical understanding for many important machine learning concepts.

MATLAB examples are provided as online resources to supplement the book content.