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Volume 207: The Third Teaching Machine Learning and Artificial Intelligence Workshop, 19-23 September 2022, Grenoble, France and online

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Editors: Katherine M. Kinnaird, Peter Steinbach, Oliver Guhr

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Developing Open Source Educational Resources for Machine Learning and Data Science

Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:1-6

Introduction to AI and its medical applications: Crash Course for an audience with diverse scientific backgrounds

Donatella Cea, Helene Hoffmann, Marie Piraud; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:7-11

Teaching Machine Learning with Applied Interdisciplinary Real World Projects

Gulustan Dogan; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:12-15

Hearts Gym: Learning Reinforcement Learning as a Team Event

Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:16-21

Stimulating student engagement with an AI board game tournament

Ken Hasselmann, Quentin Lurkin; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:22-26

Will the sun shine? - An accessible dataset for teaching machine learning and deep learning

Florian Huber, Erica Dafne van Kuppevelt, Peter Steinbach, Colin Sauze, Yang Liu, Berend Weel; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:27-31

A Deep Learning Bootcamp for Engineering & Management Students

Lukas Lodes, Alexander Schiendorfer; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:32-36

Data, Trees, and Forests - Decision Tree Learning in K-12 Education

Tilman Michaeli, Stefan Seegerer, Lennard Kerber, Ralf Romeike; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:37-41

Teaching Machine Learning with mlr3 using Shiny

Gero Szepannel, Laurens Tetzlaff, Alexander Frahm, Karsten Lübke; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:42-45

Machine Learning Students Overfit to Overfitting

Matias Valdenegro-Toro, Matthia Sabatelli; Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:46-51

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