Machine Learning / Edition 1

Machine Learning / Edition 1

4.0 1
by Thomas Mitchell
     
 

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.See more details below

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 Professional Publishing
Publication date:
03/01/1997
Series:
McGraw-Hill Series in Computer Science
Edition description:
New Edition
Pages:
432
Sales rank:
303,796
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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