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|a Handbook of big data /
|c edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan.
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|a Roca Raton, FL :
|b CRC Press, Taylor & Francis Group,
|c [2016]
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|a 1 online resource (xvi, 452 pages) :
|b illustrations (some color)
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|a Online resource; title from PDF title page (EBSCO, viewed February 19, 2016).
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|a Includes bibliographical references.
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505 |
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|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.
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520 |
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|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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|a O'Reilly
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|a Bühlmann, Peter,
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|i Erscheint auch als:
|a Handbook of big data
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|a Chapman & Hall/CRC handbooks of modern statistical methods.
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