Handbook of Big Data Analytics (Springer Handbooks of Computational Statistics)

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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.

ASIN ‏ : ‎ 3319182838
Publisher ‏ : ‎ Springer International Publishing AG; 1st ed. 2018 edition (1 August 2018)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 538 pages
ISBN-10 ‏ : ‎ 9783319182834
ISBN-13 ‏ : ‎ 978-3319182834
Item Weight ‏ : ‎ 880 g
Dimensions ‏ : ‎ 16.51 x 3.81 x 23.5 cm

Reviewer: mohand said allili
Rating: 1.0 out of 5 stars
Title:
Review: The content of the book does not reflect the title. It does not provide the basics of big data analytics, but rather some research results. The content is not accessible for a large audience. In a word, the book does not worth its price. I do not recommand it for praticionners or students who want an introductory book for big data..

Reviewer: Ayoola Farinmade
Rating: 4.0 out of 5 stars
Title:
Review: The book takes you to a higher level of this new discipline called “Big Data Analysis” gradually until you master the areas you want from Big Data.Those who wrote it are Godsends.

2.5

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