Linear Algebra and Its Applications with R (PDF)
(Sprache: Englisch)
The book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems,...
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Produktinformationen zu „Linear Algebra and Its Applications with R (PDF)“
The book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications.
Autoren-Porträt von Ruriko Yoshida
Dr. Ruriko Yoshida is an Associate Professor of Operations Research at the Naval Postgraduate School. She received her Ph.D. in Mathematics from the University of California, Davis. Her research topics cover a wide variety of areas: applications of algebraic combinatorics to statistical problems such as statistical learning on non-Euclidean spaces, sensor networks, phylogenetics, and phylogenomics. She teaches courses in statistics, stochastic models, probability, and data science.
Bibliographische Angaben
- Autor: Ruriko Yoshida
- 2021, 1. Auflage, 424 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000400247
- ISBN-13: 9781000400243
- Erscheinungsdatum: 27.06.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 11 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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