Probability and Statistics for Data Science (ePub)
Math + R + Data
(Sprache: Englisch)
This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data science students (including computer science). In addition to calculus, the text assumes basic knowledge of...
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This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data science students (including computer science). In addition to calculus, the text assumes basic knowledge of matrix algebra and rudimentary computer programming.
Autoren-Porträt von Norman Matloff
Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.
Bibliographische Angaben
- Autor: Norman Matloff
- 2019, 1. Auflage, 444 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 0429687117
- ISBN-13: 9780429687112
- Erscheinungsdatum: 21.06.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 5.06 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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