Senin, 03 Januari 2011

Free Principles and Theory for Data Mining and Machine Learning

Principles and Theory for Data Mining and Machine Learning
Author: Bertrand Clarke
Edition: 2009
Binding: Hardcover
ISBN: 0387981349
Publisher: Springer
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Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)


Search and download computer ebooks Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics) for free.
author bertrand clarke author ernest fokoue author hao helen zhang format hardback language english publication year 25 08 2009 series springer series in statistics subject computing it subject 2 computing general title principles and theory for data mining and machine learning author clarke bertrand fokoue ernest zhang hao helen publisher springer verlag publication date jul 01 2009 pages 786 binding hardcover edition 1 st dimensions 6 50 wx 9 50 hx 1 50 d isbn 0387981349 subject mathematics. Download Principles and Theory for Data Mining and Machine Learning computer ebooks


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Principles And Theory For Data Mining And Machine Learning


Principles And Theory For Data Mining And Machine Learning: Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang

author bertrand clarke author ernest fokoue author hao helen zhang format hardback language english publication year 25 08 2009 series springer series in statistics subject computing it subject 2 computing general title principles and theory for data mining and machine learning author clarke bertrand fokoue ernest zhang hao helen publisher springer verlag publication date jul 01 2009 pages 786 binding hardcover edition 1 st dimensions 6 50 wx 9 50 hx 1 50 d isbn 0387981349 subject mathematics

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Learning Product Details Pub. Date: August 2009 Publisher: Springer-Verlag New York, LLC Series: Springer Series in Statistics Series ISBN-13: 9780387981345 / 9780387981352 ISBN: 0387981349 Edition Description: New Edition Synopsis 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



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