Introduction to Machine Learning (Adaptive Computation and Machine Learning series)

Alpaydin, Ethem

ISBN 10: 026201243X / ISBN 13: 9780262012430

Published by The MIT Press, 2009

About this Item

HARDCOVER Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD Standard-sized.

Seller Inventory # M026201243XZ3

Bibliographic Details

• Title: Introduction to Machine Learning (Adaptive Computation and Machine Learning series)
• Publisher: The MIT Press
• Publication Date: 2009
• Language: English
• ISBN 10: 026201243X
• ISBN 13: 9780262012430
• Binding: hardcover
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

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, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of 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. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topi

About the Author

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