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Computational methods for data analysis /
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; Boston :
Walter de Gruyter GmbH,
[2019]
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| Colección: | De Gruyter STEM
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab. |
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| Descripción Física: | 1 online resource |
| ISBN: | 9783110493603 3110493608 9783110496369 3110496364 |