Bayesian Thinking in Machine Learning
| Document Type: | Part of a Book |
|---|---|
| Language: | German |
| Author: | Thomas Neifer, Andreas Schmidt, Dennis Lawo, Lukas Böhm, Özge Tetik |
| Parent Title (German): | Frick, Gadatsch et al. (Hg.): Data Science. Konzepte, Erfahrungen, Fallstudien und Praxis |
| Number of pages: | 15 |
| First Page: | 241 |
| Last Page: | 255 |
| ISBN: | 978-3-658-33402-4 |
| DOI: | https://doi.org/10.1007/978-3-658-33403-1_15 |
| Publisher: | Springer Vieweg |
| Place of publication: | Wiesbaden |
| Date of first publication: | 2021/11/12 |
| Departments, institutes and facilities: | Fachbereich Wirtschaftswissenschaften |
| Institut für Verbraucherinformatik (IVI) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten |
| Entry in this database: | 2021/11/18 |
