book announcement--Alpaydin

[David Weininger]

I thought readers of the Connectionists List might be interested in this 
book.  For more information, please visit 
http://mitpress.mit.edu/0262012111/  Thank you!

Best,
David

Introduction to Machine Learning
Ethem Alpaydin

The goal of machine learning is to program computers to use example data or 
past experience to solve a given problem. Many successful applications of 
machine learning exist already, including systems that analyze past sales 
data to predict customer behavior, recognize faces or spoken speech, 
optimize robot behavior so that a task can be completed using minimum 
resources, and extract knowledge from bioinformatics data. Introduction to 
Machine Learning is a comprehensive textbook on the subject, covering a 
broad array of topics not usually included in introductory machine learning 
texts. It discusses many methods based in different fields, including 
statistics, pattern recognition, neural networks, artificial intelligence, 
signal processing, control, and data mining, in order to present a unified 
treatment of machine learning problems and solutions. All learning 
algorithms are explained so that the student can easily move from the 
equations in the book to a computer program. The book can be used by 
advanced undergraduates and graduate students who have completed courses in 
computer programming, probability, calculus, and linear algebra. It will 
also be of interest to engineers in the field who are concerned with the 
application of machine learning methods.

After an introduction that defines machine learning and gives examples of 
machine learning applications, the book covers supervised learning, Bayesian 
decision theory, parametric methods, multivariate methods, dimensionality 
reduction, clustering, nonparametric methods, decision trees, linear 
discrimination, multilayer perceptrons, local models, hidden Markov models, 
assessing and comparing classification algorithms, combining multiple 
learners, and reinforcement learning.

Detailed table of contents available at 
http://www.cmpe.boun.edu.tr/~ethem/i2ml/

Ethem Alpaydin is Professor in the Department of Computer Engineering at 
Bogaziçi University, Istanbul

October 2004, 7 x 9, 400 pp., 135 illus., cloth, ISBN 0-262-01211-1
Adaptive Computation and Machine Learning series

______________________
David Weininger
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