Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Da: DeckleEdge LLC, Albuquerque, NM, U.S.A.
hardcover. Condizione: 11.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Inc, Oakville, 2016
ISBN 10: 1482249073 ISBN 13: 9781482249071
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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.Offering balanced coverage of methodology, theory, and applications, this handbook: Describes modern, scalable approaches for analyzing increasingly large datasetsDefines the underlying concepts of the available analytical tools and techniquesDetails intercommunity advances in computational statistics and machine learning Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 243,30
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EUR 258,13
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Aggiungi al carrelloCondizione: New. pp. 600.
EUR 250,93
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 600.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 600 pages. 10.10x7.30x1.10 inches. In Stock.
EUR 289,61
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Aggiungi al carrelloCondizione: New. pp. 600.
Lingua: Inglese
Editore: Taylor & Francis Inc, Oakville, 2016
ISBN 10: 1482249073 ISBN 13: 9781482249071
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 366,73
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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.Offering balanced coverage of methodology, theory, and applications, this handbook: Describes modern, scalable approaches for analyzing increasingly large datasetsDefines the underlying concepts of the available analytical tools and techniquesDetails intercommunity advances in computational statistics and machine learning Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 23,73
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Aggiungi al carrelloCondizione: Used: Good. Occasion - Bon Etat - Handbook of big data (2016) - Grand Format.
Da: moluna, Greven, Germania
EUR 211,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peter Buehlmann is a professor of statistics at ETH Zuerich, Switzerland, fellow of the Institute of Mathematical Statistics, elected member of the International Statistical Institute, and co-author of the book titled Statistics for Hig.