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Machine Learning: Menschen Lernen Maschinelles Lernen

  • This paper describes the concept and some results of the project "Menschen Lernen Maschinelles Lernen" (Humans Learn Machine Learning, ML2) of the University of Applied Sciences Offenburg. It brings together students ofdifferent courses of study and practitioners from companies on the subject of Machine Learning. A mixture of blended learning and practical projects ensuresThis paper describes the concept and some results of the project "Menschen Lernen Maschinelles Lernen" (Humans Learn Machine Learning, ML2) of the University of Applied Sciences Offenburg. It brings together students ofdifferent courses of study and practitioners from companies on the subject of Machine Learning. A mixture of blended learning and practical projects ensures atight coupling of machine learning theory and application. The paper details thephases of ML2 and mentions two successful example projects.show moreshow less

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Metadaten
Author:Ralph Isenmann, Jürgen Prinzbach, Stephan TrahaschGND, Volker SängerGND, Tobias LauerGND, Tobias Hagen, Klaus DorerGND
Editor:Andreas Christ, Franz Quint
Creating Corporation:Hochschule Karlsruhe
Contributing Corporation:Hochschule Offenburg
Year of Publication:2019
Pagenumber:5
ISBN:978-3-9820756-0-0 (Print)
ISBN:978-3-9820756-1-7 (eBook)
Language:English
Parent Title (English):Artificial Intelligence. From Research To Application
First Page:37
Last Page:41
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Acces Right:Frei zugänglich
Release Date:2020/01/21
Licence (German):License LogoEs gilt das UrhG
Note:
The Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019), Offenburg, March 13, 2019
ArXiv Id:http://arxiv.org/abs/1903.08495