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Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
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by Bertrand Clarke, Ernest Fokoue and Hao Helen Zhang
Sales Rank: 66945
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List Price: $79.95
$61.82
At Amazon
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Hardcover: 798 pages
Publisher: Springer; 1 edition July 30, 2009
Language: English
ISBN-10: 0387981349
ISBN-13: 978-0387981345
Product Dimensions:
9.3 x 6.2 x 1.6 inches
Shipping Weight: 2.7 pounds
Product Description
Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Computer Science, and Electrical Engineering
Customer Reviews & Comments
This book covers many methods in data mining and machine learning. The best thing to me is that it tells each story from a theoretical way, but not a superficial way. It really helps you understand these machine learning methods from a deep perspective. Reading this book did let me think more thoroughly.
Of course the good thing can be a bad thing in that, if you do not have enough background in statistics and math, this book can be very difficult to read. The famous Hastie, Tibshirani and Friedman's book is a good one and someone may complain that that book is not easy to read unless you have solid background in math. However Clarke's book, to me, is even harder.
If you really want to learn the details in data mining, this book would be an ideal resource.
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Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
List Price: $79.95
Available from Amazon
Price: $61.82
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