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Handbook of big data /

"Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bühlmann, Peter (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Roca Raton, FL : CRC Press, Taylor & Francis Group, [2016]
Colección:Chapman & Hall/CRC handbooks of modern statistical methods.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a I. General perspectives on big data -- II. Data-centric, exploratory methods -- III. Efficient algorithms -- IV. Graph approaches -- V. Model fitting and regularization -- VI. Ensemble methods -- VII. Causal inference -- VIII. Targeted learning. 
520 |a "Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice"--  |c Provided by publisher 
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