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{ "item_title" : "Handbook of Big Data", "item_author" : [" Peter Bühlmann", "Petros Drineas", "Michael Kane "], "item_description" : "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 learningHandbook 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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/36/733/073/0367330733_b.jpg", "price_data" : { "retail_price" : "101.99", "online_price" : "101.99", "our_price" : "101.99", "club_price" : "101.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Handbook of Big Data|Peter Bühlmann

Handbook of Big Data

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Overview

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 datasets
  • Defines the underlying concepts of the available analytical tools and techniques
  • Details 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.

This item is Non-Returnable

Details

  • ISBN-13: 9780367330736
  • ISBN-10: 0367330733
  • Publisher: CRC Press
  • Publish Date: September 2019
  • Dimensions: 9.9 x 6.9 x 0.9 inches
  • Shipping Weight: 2.55 pounds
  • Page Count: 480

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