Fundamentals of Data Analytics : with a View to Machine Learning / by Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi

Von:

Mathar, Rudolf, 1952- [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Springer eBook CollectionVerlag: Cham : Springer International Publishing, 2020Verlag: Cham : Imprint: Springer, 2020Auflage: 1st ed. 2020Beschreibung: 1 Online-Ressource(XI, 127 p. 41 illus., 28 illus. in color.)ISBN:

9783030568313

Schlagwörter:

Andere physische Formen: 9783030568306 | 9783030568320 | 9783030568337 | Erscheint auch als: Fundamentals of data analytics. Druckausgabe. Cham : Springer, 2020. xi, 127 Seiten | Erscheint auch als: 9783030568320 Druck-Ausgabe | Erscheint auch als: 9783030568337 Druck-AusgabeDDC-Klassifikation:

519.5 23

DOI: DOI: 10.1007/978-3-030-56831-3Online-Ressourcen:

Zusammenfassung: 1 Introduction -- 2 Prerequisites from Matrix Analysis -- 3 Multivariate Distributions and Moments -- 4 Dimensionality Reduction -- 5 Classification and Clustering -- 6 Support Vector Machines -- 7 Machine Learning -- Index.Zusammenfassung: This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.PPN: PPN: 1734622563Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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