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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Dezember 2019
Genre:	Schulbücher
	Applied mathematics / B / Data Mining / Data Mining and Knowledge Discovery / Engineering mathematics / Expert systems / knowledge-based systems / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematics and Statistics / Maths for engineers / Probability & statistics / Statistical Theory and Methods / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs
ISBN:	9783030132385
EAN-Code:	9783030132385
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Serie:	Springer Handbooks of Computational Statistics
Dimensionen:	H 235 mm / B 155 mm / D 30 mm
Gewicht:	820 gr
Seiten:	548
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.