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4 Reviews
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6 of 6 people found the following review helpful
5.0 out of 5 stars A classic in the making!
This is a review of the 1st edition, though I have looked at a copy of the 2nd edition and as far as I can tell, it all still applies.

This is a genuinely excellent book. The authors thoroughly understand the topic and explain it with remarkable clarity. There are a good number of well thought out exercises and the book's website contains a lot of additional...
Published on 10 July 2012 by a reader

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27 of 38 people found the following review helpful
1.0 out of 5 stars Review for the Kindle Edition only
This review is not meant to be a review for the paper edition of an otherwise excellent book, but it is only specific to the Kindle edition.
Obviously one can't expect the same quality of a printed book, but the quality of the Kindle edition is absolutely awful. All the mathematical formulas have been converted into some kind of bitmap images all of extremely poor...
Published on 14 Jan. 2011 by Luca Berardi


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6 of 6 people found the following review helpful
5.0 out of 5 stars A classic in the making!, 10 July 2012
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This review is from: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) (Hardcover)
This is a review of the 1st edition, though I have looked at a copy of the 2nd edition and as far as I can tell, it all still applies.

This is a genuinely excellent book. The authors thoroughly understand the topic and explain it with remarkable clarity. There are a good number of well thought out exercises and the book's website contains a lot of additional information and data.

If you really want to understand statistical learning methods, rather than just applying them blindly, then this book is definitely one to read.
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1 of 1 people found the following review helpful
5.0 out of 5 stars The ML Bible, 29 July 2014
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This review is from: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) (Hardcover)
Having completed the Coursera Stanford Machine Learning course I wanted to know more and this came up at the top recommended book in Amazon for ML. I downloaded the free PDF but it's huge and I find it impossible to read a PDF on a screen so I forked out for the hardback paper copy. I have to say this is well worth it, incredible scope of coverage and the colouring makes it more easy to understand (none of this stuff is actually 'easy'). This IMO is genuinely THE bible for Machine Learning.
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27 of 38 people found the following review helpful
1.0 out of 5 stars Review for the Kindle Edition only, 14 Jan. 2011
This review is from: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) (Hardcover)
This review is not meant to be a review for the paper edition of an otherwise excellent book, but it is only specific to the Kindle edition.
Obviously one can't expect the same quality of a printed book, but the quality of the Kindle edition is absolutely awful. All the mathematical formulas have been converted into some kind of bitmap images all of extremely poor quality, such that they are barely readable and sometimes completely wrong (i.e. different from what you read in the printed edition).
I don't know if this is a common problem for Kindle editions of books containing mathematical formulas/tables/images, but it is surprising that Amazon is selling this edition at more than £30: given the quality of the mathematical formulas, images and tables therein this book shouldn't be sold at all in the Kindle edition, not even given away for free!
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0 of 2 people found the following review helpful
4.0 out of 5 stars Four Stars, 3 Oct. 2014
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as desribed.
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