Learning from Data. Concepts, Theory and Methods

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Computers - Computer Science
Learning from Data. Concepts, Theory...

Learning from Data. Concepts, Theory and Methods

Name: Learning from Data. Concepts, Theory and Methods
ISBN: 9780471681823

Vladimir Cherkassky, Filip M. Mulier

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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.

Categorie:

Computers - Computer Science

Anno:

2007

Edizione:

Casa editrice:

Wiley

Lingua:

english

Pagine:

557

ISBN 10: