Maschinelles Lernen
Damian Borth (),
Eyke Hüllermeier () and
Göran Kauermann ()
Additional contact information
Damian Borth: Universität Sankt Gallen
Eyke Hüllermeier: Ludwig-Maximilians-University Munich
Göran Kauermann: Ludwig-Maximilians-University Munich
Chapter Kapitel 4 in Künstliche Intelligenz und Data Science in Theorie und Praxis, 2023, pp 19-49 from Springer
Abstract:
Zusammenfassung In diesem Kapitel fassen wir die Grundlagen des Maschinellen Lernens (Machine Learning) zusammen.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-66278-6_4
Ordering information: This item can be ordered from
http://www.springer.com/9783662662786
DOI: 10.1007/978-3-662-66278-6_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().