Learning from Data: Concepts, Theory, and Methods by Cherkassky, Vladimir

Learning from Data: Concepts, Theory, and Methods (Hardcover) (ISBN-13: 9780471681823)

Vendor: Vladimir Cherkassky
Product type: Books
Format: Hardcover
$181.95
$181.95
$181.95
Subtotal: $181.95
Learning from Data: Concepts, Theory, and Methods by Cherkassky, Vladimir

Learning from Data: Concepts, Theory, and Methods

$181.95
Learning from Data: Concepts, Theory, and Methods by Cherkassky, Vladimir

Learning from Data: Concepts, Theory, and Methods

$181.95
Format: Hardcover
Description
Description
x
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.

Author: Vladimir Cherkassky, Filip M. Mulier
ISBN-10: 0471681822
ISBN-13: 9780471681823
Publisher: Wiley-IEEE Press
Language: English
Published: 08/24/2007
Pages: 560
Format: Hardcover
Weight: 2.01lbs
Size: 9.19h x 6.50w x 1.25d

Review Citation(s):
Scitech Book News 12/01/2007 pg. 151
By Vladimir Cherkassky
By Vladimir Cherkassky
x

Vladimir CherKassky, PhD, is Professor of Electrical and Computer Engineering at the University of Minnesota. He is internationally known for his research on neural networks and statistical learning.

Filip Mulier, PhD, has worked in the software field for the last twelve years, part of which has been spent researching, developing, and applying advanced statistical and machine learning methods. He currently holds a project management position.

Recently Viewed Products