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Summary: Robotica (2006) volume 24, pp. 143144. © 2006 Cambridge University Press
Printed in the United Kingdom
Book Reviews
doi:10.1017/S0263574705212584
INTRODUCTION TO MACHINE LEARNING, by Ethem
Alpaydin, MIT Press, 2004, xxx + 415 pp., with index. 160 ref.
distributed chapter by chapter. ISBN 0-262-01211-1. (Hardback
£32.95).
This is an introductory text aimed at senior undergraduate and first
year postgraduate students. Any book dealing with machine learn-
ing usually presents a varied collection of the different program-
ming techniques which enable performance criteria to be optimized
using either example data or past experience. The range of topics
presented here is unusually comprehensive and includes some
techniques not usually found at this level.
The introductory chapter gives a very quick tour of some
examples of machine learning applications which, curiously, are
not really followed up in the rest of the book. However, it does
conclude with a useful list of journals and web addresses. Next
follows 32 pages dealing with the different methods and problems
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