Handbook of Big Data Paperback / softback
Edited by Peter Buhlmann, Petros Drineas, Michael (Yale University, New Haven, Connecticut, USA) Kane, Mark (University of California, Berkeley, USA) van der Laan
Part of the Chapman & Hall/CRC Handbooks of Modern Statistical Methods series
Paperback / softback
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 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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:480 pages, 41 Illustrations, color; 56 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:11/09/2019
- Category:
- ISBN:9780367330736
Information
-
Out of stock
- Format:Paperback / softback
- Pages:480 pages, 41 Illustrations, color; 56 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:11/09/2019
- Category:
- ISBN:9780367330736
