Handbook of Big Data Analytics

Nonfiction, Computers, Database Management, Application Software, General Computing
Cover of the book Handbook of Big Data Analytics by , Springer International Publishing
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Author: ISBN: 9783319182841
Publisher: Springer International Publishing Publication: July 20, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319182841
Publisher: Springer International Publishing
Publication: July 20, 2018
Imprint: Springer
Language: English

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.  

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.  

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