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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 of different courses of study and practitioners from companies on the subject of Machine Learning. A mixture of blended learning and practical projects ensures a tight coupling ofThis 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 of different courses of study and practitioners from companies on the subject of Machine Learning. A mixture of blended learning and practical projects ensures a tight coupling of machine learning theory and application. The paper details the phases of ML2 and mentions two successful example projects.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3950
Bibliografische Angaben
Title (English):Machine Learning: Menschen Lernen Maschinelles Lernen
Conference:The Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019), Offenburg, March 13, 2019
Author:Ralph IsenmannStaff MemberGND, Jürgen PrinzbachStaff MemberGND, Stephan TrahaschStaff MemberORCiDGND, Volker SängerStaff MemberGND, Tobias LauerStaff MemberGND, Tobias HagenStaff MemberORCiDGND, Klaus DorerStaff MemberORCiDGND
Year of Publication:2019
Creating Corporation:Hochschule Karlsruhe
Contributing Corporation:Hochschule Offenburg
Page Number:5
First Page:37
Last Page:41
Parent Title (English):Artificial Intelligence. From Research To Application
Editor:Andreas Christ, Franz Quint
ISBN:978-3-9820756-0-0 (Print)
ISBN:978-3-9820756-1-7 (eBook)
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Forschung / IMLA - Institute for Machine Learning and Analytics
Fakultät Wirtschaft (W)
Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021)
Institutes:Bibliografie
Projekte / Magma Offenburg
Formale Angaben
Open Access: Open Access 
Licence (German):License LogoUrheberrechtlich geschützt
ArXiv Id:http://arxiv.org/abs/1903.08495