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Introduction to algorithms for data mining and machine learning /
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software re...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom ; San Diego, CA, United States :
Academic Press, an imprint of Elsevier,
[2019]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. |
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| Descripción Física: | 1 online resource (viii, 173 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 163-170) and index. |
| ISBN: | 9780128172179 0128172177 |