A First Course in Machine Learning, Second Edition

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.

Author(s): Simon Rogers Mark Girolami

ISBN 10: 1498738486
ISBN 13: 9781498738484
Pages: 427

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