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Learning from Data

Learning from Data

Concepts, Theory, and Methods

by Vladimir Cherkassky and Filip M. Mulier
Hardback
Publication Date: 11/09/2007

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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.
ISBN:
9780471681823
9780471681823
Category:
Machine learning
Format:
Hardback
Publication Date:
11-09-2007
Language:
English
Publisher:
John Wiley & Sons Inc
Country of origin:
United States
Edition:
2nd Edition
Pages:
560
Dimensions (mm):
243x165x34mm
Weight:
0.92kg

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