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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.
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.
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