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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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