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Teaching Machine Learning in 2020

Steinbach, P.; Seibold, H.; Guhr, O.

Faced by the abundant use of machine learning in industry and academia, the effective and efficient teaching of core concepts in this field becomes of high importance. For this, we organized a workshop on teaching methods in the field of machine learning. In this document, we summarize the current standing of the community as by our workshop and their methods. We touch on existing working concepts in machine learning didactics, what methods present initiatives use and cover open teaching resources available to date. With this, we hope to provide a starting point for future collaborations on this central topic given the expanding use of machine learning in science, industry and our daily lives.

Keywords: Machine Learning; Deep Learning; Data Science; Teaching; Didactics

  • Open Access Logo Contribution to proceedings
    Proceedings of the first Teaching Machine Learning and Artificial Intelligence Workshop at ECML-PKDD 2020, 14.09.2020, virtuell, virtuell
    Volume 141: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 14 September 2020, Virtual Conference, http://proceedings.mlr.press/v141/

Permalink: https://www.hzdr.de/publications/Publ-32481
Publ.-Id: 32481