Name: Learning From Data: Concepts, Theory, and Methods
Price: 5749.00 TWD
Availability: InStock
Author: Cherkassky, Vladimir ; Mulier, Filip M.
ISBN: 9780471681823

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portada Learning From Data: Concepts, Theory, and Methods

Learning From Data: Concepts, Theory, and Methods

Type

Physical Book

Author

Vladimir Cherkassky

Filip M. Mulier

Publisher

Wiley-IEEE Press

Language

English

Pages

538

Format

Hardcover

Dimensions

23.3 x 16.5 x 3.2 cm

Weight

0.91 kg.

ISBN

0471681822

ISBN13

9780471681823

Edition No.

0002

Synopsis "Learning From Data: Concepts, Theory, and Methods "

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.

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Learning From Data: Concepts, Theory, and Methods - Cherkassky, Vladimir ; Mulier, Filip M.

Synopsis "Learning From Data: Concepts, Theory, and Methods "

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