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Machine Learning / Edition 1
     

Machine Learning / Edition 1

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by Thomas Mitchell
 

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ISBN-10: 0070428077

ISBN-13: 9780070428072

Pub. Date: 03/01/1997

Publisher: McGraw-Hill Higher Education

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

Overview

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

Product Details

ISBN-13:
9780070428072
Publisher:
McGraw-Hill Higher Education
Publication date:
03/01/1997
Series:
McGraw-Hill Series in Computer Science
Edition description:
Net
Pages:
432
Sales rank:
854,284
Product dimensions:
6.30(w) x 9.60(h) x 1.00(d)

Table of Contents

Preface xv
Acknowledgments xvi 1 Introduction 1
2 Concept Learning and the General-to-Specific Ordering 20
3 Decision Tree Learning 52
4 Artificial Neural Networks 81

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Machine Learning 4 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago