%0 Conference Paper %1 steinbach2021teaching %A Steinbach, Peter %A Seibold, Heidi %A Guhr, Oliver %B Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop %D 2021 %E Bischl, Bernd %E Guhr, Oliver %E Seibold, Heidi %E Steinbach, Peter %I PMLR %K %P 1--6 %T Teaching Machine Learning in 2020 %U https://proceedings.mlr.press/v141/steinbach21a.html %V 141 %X 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.

@inproceedings{steinbach2021teaching, abstract = {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.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Steinbach, Peter and Seibold, Heidi and Guhr, Oliver}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/282de55b2c6d9d9247e8c13a670162cdd/scadsfct}, booktitle = {Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop}, editor = {Bischl, Bernd and Guhr, Oliver and Seibold, Heidi and Steinbach, Peter}, interhash = {8336e3f1ff547c675e3cc1349169998b}, intrahash = {82de55b2c6d9d9247e8c13a670162cdd}, keywords = {}, month = {14 Sep}, pages = {1--6}, pdf = {http://proceedings.mlr.press/v141/steinbach21a/steinbach21a.pdf}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-11-08T17:23:56.000+0100}, title = {Teaching Machine Learning in 2020}, url = {https://proceedings.mlr.press/v141/steinbach21a.html}, volume = 141, year = 2021 }