Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
Get and download textbook 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
Principles and Theory for Data Mining and Machine Learning new edition
Download free books for 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
Electronics Cameras Computers Software Housewares Sports DVDs Music Books Games Toys in titles descriptions Company Info |Checkout Info |Shipping Info |Return Policy |FAQ's Add us as a favorite seller By continuing with your purchase using the eBay Buy It Now button, you agree to the Buy Terms of Use at http://stores.ebay.com/Buys-Internet-Superstore/Terms.html . Principles and Theory for Data Mining and Machine Learning - Clarke, Bertrand/ Fokoue, Ernest/ Zhang, Hao Helen THIS IS A BRAND NEW U
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
Principles and Theory for Data Mining and Machine Learning Textbook
