An introduction to machine learning
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 a...
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| Main Author: |
Kubát, Miroslav, |
| Other Authors: |
SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
Cham :
Springer,
[2017]
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| Physical Description: |
1 online resource (xiii, 348 pages) : illustrations.
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| Edition: |
Second edition. |
| Subjects: |
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