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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Erscheint auch als (Druck-Ausgabe):

Shikhman, Vladimir *1981-*. Mathematical foundations of big data analytics. - Berlin : Springer Gabler, 2021. - xi, 273 Seiten

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