"Introduces the main algorithms and ideas that underpin machine learning techniques and applications -- Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations -- Covers modern machine learning research and techniques -- Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models."--From Publisher
Includes bibliographical references and index