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Applied data analytics : principles and applications /
This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and vis...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Gistrup, Denmark :
River Publishers,
[2020]
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| Colección: | River Publishers series in signal, image and speech processing.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. |
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| Descripción Física: | 1 online resource (xxxii, 336 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9788770220958 8770220956 |