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.…
| Author: | Ralph Isenmann, Jürgen Prinzbach, Stephan TrahaschORCiDGND, Volker SängerGND, Tobias LauerGND, Tobias HagenORCiDGND, 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 |
| Open Access: | Frei zugänglich |
| Institutes: | Bibliografie |
| Release Date: | 2020/01/21 |
| Licence (German): |  Es 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 |