Learning from Data - Concepts, Theory and Methods 2e (Hardcover, 2nd Edition)

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.

General

Imprint:	John Wiley & Sons
Country of origin:	United States
Release date:	September 2007
First published:	August 2007
Authors:	V Cherkassky
Dimensions:	232 x 170 x 37mm (L x W x T)
Format:	Hardcover
Pages:	560
Edition:	2nd Edition
ISBN-13:	978-0-471-68182-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-471-68182-2
Barcode:	9780471681823

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