Dear fellow carpentry instructors and teaching addicts, if you are involved in teaching (courses) related to machine learning (Deep Learning, canonical MLPs and random forests, clustering ...) please consider publishing a teaching example or teaching method that works for you.
As a small team of enthusiasts, we've been granted the possibility to hold the 1st workshop on teaching methods for machine learning at a European conference. (to the best of my knowledge, it might even be the first workshop of this kind on this planet) For this, we have put out a call for papers: https://teaching-ml.github.io/2020/ The submission deadline is June 26, 2020. It would be awesome to see papers from this community! Let me know if you need more details or want to provide feedback. We are also looking for reviewers. Best & stay healthy - Peter PS. Feel free to disseminate this call in other communities. -- Peter Steinbach, Dr. rer. nat. AI Consulting Team Lead Phone: +49 - 351 - 260 3844 Fax: +49 - 351 - 260 13660 ORC-ID: 0000-0002-4974-230X Department of Information Services and Computing (FWC) Helmholtz-Zentrum Dresden-Rossendorf e.V. Building 312, Room 4 | Bautzner Landstr. 400 | 01328 Dresden | Germany https://www.hzdr.de Board of Directors: Prof. Dr. Sebastian M. Schmidt, Dr. Ulrich Breuer Registration Court: VR 1693 at the District Court Dresden
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