Data mining practical machine learning tools and techniques
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work o...
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| Other Authors: | , |
| Format: | eBook |
| Language: | Inglés |
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Amsterdam :
Elsevier/Morgan Kaufmann
2011.
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| Edition: | 3rd ed |
| Series: | The Morgan Kaufmann Series in Data Management Systems
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628074306719 |
| Summary: | Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizatio |
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| Item Description: | Description based upon print version of record |
| Physical Description: | 1 online resource (665 p.) : ill |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781282953888 9786612953880 9780080890364 |
