Solutions Manual for A First Course in Machine Learning (2nd Edition)

Solutions Manual for A First Course in Machine Learning (2nd Edition)

(This is NOT the TEXTBOOK)
Format: PDF Solutions Manual Only  (NO Test Bank included)
ISBN-13: 978-1498738484
ISBN-10: B01N7ZEBK8
Delivery: Instant Download
Authors: Simon Rogers
Publisher: Chapman and Hall/CRC

“A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC.”
—Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden

“The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts.”
—Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark