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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
Developing Open Source Educational Resources for Machine Learning and Data Science
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:1-6
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Introduction to AI and its medical applications: Crash Course for an audience with diverse scientific backgrounds
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:7-11
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Teaching Machine Learning with Applied Interdisciplinary Real World Projects
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:12-15
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Hearts Gym: Learning Reinforcement Learning as a Team Event
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:16-21
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Stimulating student engagement with an AI board game tournament
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:22-26
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Will the sun shine? - An accessible dataset for teaching machine learning and deep learning
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:27-31
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A Deep Learning Bootcamp for Engineering & Management Students
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:32-36
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Data, Trees, and Forests - Decision Tree Learning in K-12 Education
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:37-41
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Teaching Machine Learning with mlr3 using Shiny
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:42-45
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Machine Learning Students Overfit to Overfitting
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 207:46-51
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