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

Simon Rogers, Mark Girolami




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 | #871856 in Books |  2016-08-15 | Original language:English | PDF # 1 |  10.00 x7.00 x1.00l,.0 | Binding: Turtleback | 427 pages

||0 of 0 people found the following review helpful.| If You Are Thinking of Buying This Book, Buy This Book|By David Morris|About as good a book you can learn from. This is a hard topic, and you can learn by reading this book. It does, however, have some holes; for example, it doesn't even mention SVM regressors. If you have a class which assigns this and the Bishop book, sorry, you have to get both, because the Bishop book do| ||"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. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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