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Home » Computer » Download Free Pattern Recognition and Machine Learning 1st Edition

Download Free Pattern Recognition and Machine Learning 1st Edition

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Computer
Monday, August 26, 2013

Pattern Recognition and Machine Learning 1st Edition

Author: Visit Amazon's Christopher M. Bishop Page | Language: English | ISBN: 8132209060 | Format: EPUB

Pattern Recognition and Machine Learning 1st Edition Description

  • Product Details
  • Table of Contents
  • Reviews
  • Paperback
  • Language: English
  • ISBN-10: 8132209060
  • ISBN-13: 978-8132209065
  • Product Dimensions: 9.5 x 7.8 x 1.6 inches
  • Shipping Weight: 2.8 pounds
I can appreciate others who might think that this is a great book.... but I am a student using it and I have some very different opinions of it.

First, although Mr. Bishop is clearly an expert in Machine Learning, he is also obviously a HUGE fan of Bayesian Statistics. The title of the book is misleading as it makes no mention of Bayes at all but EVERY CHAPTER ends with how all of the chapter's contents are combined in a Bayes method. That's not bad it's just not clear from the title. The title should be appended with "... using Bayesian Methods"

Second, while it is certainly a textbook, the author clearly has an understanding of the material that seems to undermine his ability to explain it. Though there are mentions of examples there are, in fact, none. There are many graphics and tiny, trivial indicators, but I can't help to think that every single one of the concepts in the book would have benefited from even a single application. There aren't any. I am lead to believe that if you are already aware of many of the methods and techniques that this would be an excellent reference or refresher. As a student starting out I almost always have no idea what his intentions are.

To make matter worse, he occasionally uses symbols that are flat-out confusing. Why would you use PI for anything other than Pi or Product? He does. Why use little k, Capital K, and Greek Letter Kappa (a K!) in a series of explanations. He does. He even references articles that he has written... in 2008!!

Every chapter seems to be an exercise to see how many equations he can stuff in it. There are 300 in Chapter 2 alone.

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