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

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XI, 127 p. 41 illus., 28 illus. in color.)ISBN:
  • 9783030568313
Subject(s): Additional physical formats: 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 classification:
  • 519.5 23
DOI: DOI: 10.1007/978-3-030-56831-3Online resources: Summary: 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.Summary: 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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