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Item Details
Title: AN INTRODUCTION TO MACHINE LEARNING
By: Miroslav Kubat
Format: Hardback

List price: £59.99


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ISBN 10: 3319639129
ISBN 13: 9783319639123
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 21 September, 2017
Edition: 2nd ed. 2017
Pages: 348
Description: This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications.
Synopsis: This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
Illustrations: 3 Illustrations, color; 82 Illustrations, black and white; XIII, 348 p. 85
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
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