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Handbook of Big Data Analytics (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R9,584
Discovery Miles 95 840
Repayment Terms: R898 pm x 12*
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Handbook of Big Data Analytics (Paperback, Softcover reprint of the original 1st ed. 2018): Wolfgang Karl Hardle, Henry...

Handbook of Big Data Analytics (Paperback, Softcover reprint of the original 1st ed. 2018)

Wolfgang Karl Hardle, Henry Horng-Shing Lu, Xiaotong Shen

Series: Springer Handbooks of Computational Statistics

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Loot Price R9,584 Discovery Miles 95 840 | Repayment Terms: R898 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Handbooks of Computational Statistics
Release date: December 2019
First published: 2018
Editors: Wolfgang Karl Hardle • Henry Horng-Shing Lu • Xiaotong Shen
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 538
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-013238-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-03-013238-2
Barcode: 9783030132385

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