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A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition)

Simon Rogers, Mark Girolami




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 | #798954 in Books |  2016-08-15 | Original language:English | PDF # 1 |  10.00 x7.00 x1.00l,.0 | File type: PDF | 427 pages

||10 of 16 people found the following review helpful.| The mathematical formulas do not display properly making it completely useless.|By Colin Travis Kyle|Do not buy the electronic version of this book. The mathematical formulas do not display properly making it completely useless.| ||"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning. The prerequisites on math or statistics are minimal and following the content is a fai

"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 Scien...

You can specify the type of files you want, for your gadget.A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition)   |  Simon Rogers, Mark Girolami. A good, fresh read, highly recommended.

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