Learning from Data: Concepts, Theory, and Methods Second Edition

Cherkassky, Vladimir, Mulier, Filip M.

ISBN 10: 0471681822 / ISBN 13: 9780471681823

Published by Wiley-IEEE Press, 2007

About this Item

2nd edition, 560 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1317152

Bibliographic Details

Title: Learning from Data: Concepts, Theory, and ...

Publisher: Wiley-IEEE Press

Publication Date: 2007

Binding: Hardcover

Condition: Fine

Edition: 2nd Edition

About this title

Synopsis:

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...

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