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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
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 / Probability and statistics / Statistical Theory and Methods / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs mehr...
ISBN:	9783030132385
EAN-Code:	9783030132385
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Springer Handbooks of Computational Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	831 gr
Seiten:	538
Illustration:	VIII, 538 p. 147 illus., 109 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
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.