Algorithmic Learning by Alan Hutchinson

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Summary

Aims to provide a complete, practical guide to over 30 specific learning techniques, with comparisons, examples and exercises. It should be of use both as a student text and as a reference for practitioners.

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Algorithmic Learning by Alan Hutchinson

For several decades, machine learning has been the province of a few enthusiasts. Like other forms of artificial intelligence, it held great promise and no more. This situation is changing. We are now familiar with a wide range of algorithms, and a theory outlining which algorithm will suit which purpose is beginning to emerge. The science of machine learning is coming of age. Algorithmic Learning provides a thorough introduction to all aspects of the subject. The text presents more than thirty algorithms, together with discussions and comparisons, underlying methods, examples, and exercises. The last chapter summarizes several approaches to learning theory and also discusses representations, bias, and other topics of current research. This book will be valuable both as a study text for students and as a reference for practitioners seeking an up-to-date review of this changing field.
SKU Unavailable
ISBN 13 9780198538486
ISBN 10 0198538480
Title Algorithmic Learning
Author Alan Hutchinson
Series Graduate Texts In Computer Science Ser
Condition Unavailable
Binding Type Paperback
Publisher Oxford University Press
Year published 1994-04-01
Number of pages 460
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.