Mathematical Foundations of Big Data Analytics

Vladimir Shikhman, David Müller

Preface -- 1 Ranking -- 2 Online Learning -- 3 Recommendation Systems -- 4 Classification -- 5 Clustering -- 6 Linear Regression -- 7 Sparse Recovery -- 8 Neural Networks -- 9 Decision Trees -- 10 Solutions.

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Year of publication:	[2021]
Authors:	Shikhman, Vladimir ; Müller, David
Publisher:	Berlin : Springer Gabler
Subject:	Big Data \| Big data \| Data Mining \| Data mining \| Mathematik \| Mathematics \| Finanzmathematik \| Mathematical finance \| Data Science \| Datenanalyse \| Datenauswertung \| Mathematisches Modell

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Extent:	1 Online-Ressource (XI, 273 Seiten)
Series:	Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-662-62521-7 ; 978-3-662-62520-0 ; 978-3-662-62522-4
Other identifiers:	10.1007/978-3-662-62521-7 [DOI]
Classification:	Künstliche Intelligenz ; Mathematische Statistik
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012440053