Learning from Data: Concepts, Theory, and Methods, Second Edition

Learning from Data: Concepts, Theory, and Methods, Second Edition

Author(s): Vladimir Cherkassky, Filip Mulier

Published Online: 20 NOV 2006

Print ISBN: 9780471681823

Online ISBN: 9780470140529

DOI: 10.1002/9780470140529

About this Book

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.

Table of contents

    1. You have free access to this content
    2. You have free access to this content
    3. You have free access to this content
    4. You have free access to this content
    5. You have free access to this content

SEARCH