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Cherkassky, Vladimir

Learning from Data: Concepts, Theory, and Methods

Cherkassky, Vladimir - Learning from Data: Concepts, Theory, and Methods, ebook

127,90€

Ebook, PDF with Adobe DRM
ISBN: 9780470140512
DRM Restrictions

Printing187 pages with an additional page accrued every 4 hours, capped at 187 pages
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An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.

Keywords: COMPUTERS / Data Modeling & Design COM062000

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2007
Language
en
Edition
2
Page amount
624 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9780470140512
Printed ISBN
9780471681823

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