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Item Details
| Title:
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AN INTRODUCTION TO MACHINE LEARNING
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| By: |
Miroslav Kubat |
| Format: |
Hardback |
| List price:
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£40.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319200097 |
| ISBN 13: |
9783319200095 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
18 July, 2015 |
| Edition: |
1st ed. 2015 |
| Pages: |
291 |
| Description: |
An Introduction to Machine Learning |
| Synopsis: |
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting 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. |
| Illustrations: |
2 Illustrations, color; 69 Illustrations, black and white; XIII, 291 p. 71 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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