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Fundamentals of data analytics = wit...

Mathar, Rudolf.

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Fundamentals of data analytics = with a view to machine learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fundamentals of data analytics/ by Rudolf Mathar ... [et al.].
Reminder of title:	with a view to machine learning /
other author:	Mathar, Rudolf.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 127 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Statistics - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-56831-3
ISBN:	9783030568313

Fundamentals of data analytics = with a view to machine learning /
Fundamentals of data analyticswith a view to machine learning /[electronic resource] :by Rudolf Mathar ... [et al.]. - Cham :Springer International Publishing :2020. - xi, 127 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030568313

Standard No.: 10.1007/978-3-030-56831-3doiSubjects--Topical Terms:

535534
Statistics
--Data processing.

LC Class. No.: QA276.4

Dewey Class. No.: 519.5

Fundamentals of data analytics = with a view to machine learning /
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245 0 0 $a Fundamentals of data analytics $h [electronic resource] : $b with a view to machine learning / $c by Rudolf Mathar ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 127 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Statistics $x Data processing. $3 535534
650 0 $a Quantitative research. $3 919734
650 0 $a Big data. $3 2045508
650 0 $a Machine learning. $3 533906
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
700 1 $a Mathar, Rudolf. $3 3504307
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