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Linear Algebra in Data Science

BuchKartoniert, Paperback
199 Seiten
Englisch
Springererschienen am15.05.20242024
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR42,79
E-BookPDF1 - PDF WatermarkE-Book
EUR42,79

Produkt

KlappentextThis textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.
Details
ISBN/GTIN978-3-031-54907-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum15.05.2024
Auflage2024
ReiheCompact Textbooks in Mathematics
Seiten199 Seiten
SpracheEnglisch
Gewicht324 g
IllustrationenVIII, 199 p. 23 illus., 9 illus. in color.
Artikel-Nr.55861432

Inhalt/Kritik

Inhaltsverzeichnis
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Schlagworte

Autor

Peter Zizler is a professor of mathematics at Mount Royal University in Calgary. He holds a Ph.D. in mathematics (linear algebra). He has publications in various journals with research done in diverse areas of linear algebra, Fourier analysis and wavelet analysis. He has also published articles on the Gini index and Lorenz curve, research papers in mathematical education and statistics. He has also previously co-authored a textbook with Springer, Introduction to Modern Analysis (2015), as well as a chapter Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
Roberta La Haye is an associate professor of mathematics at Mount Royal University in Calgary. She holds a Ph.D. in mathematics (group theory). Her current research interests include ties between mathematics and the visual art and ties between mathematics and statistics. She has publications in mathematics journals, visual arts education journals and statistics journals as well as co-authored book chapters in Co-Teaching in Higher Education: From Theory to Co-Practice, University of Toronto Press, (2017) and Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
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La Haye, Roberta