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| 007 | cr cn |||mnn|| | ||
| 008 | 201013s2020 nju o 000 0 eng | ||
| 010 | _a 2020947805 | ||
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_a9780136738510 _q(paperback) |
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_aES-VaUE _beng _cES-VaUE _dES-VaUE |
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_aQA76.9 _b2020 EB |
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| 100 | 1 |
_aDelen, Dursun _eautor _9518934 |
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_aPredictive analytics : _bData mining, machine learning and data science for practitioners _cDursun Delen |
| 250 | _a2nd ed 2020 | ||
| 264 | 1 |
_aHoboken _bPearson Education, Inc. _c2020 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_2rdacontent _aTexto (visual) _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 520 | _a"Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors"-- | ||
| 988 | _aEbook_one2one | ||
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_2embne _97256 _aBases de datos |
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