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Editors: Katherine M. Kinnaird, Peter Steinbach, Oliver Guhr
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Teaching ML in 2021 - An Overview and Introduction
; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:1-4
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Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses
Patrick Glauner; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:5-9
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Teaching machine learning through end-to-end decision making
Hussain Kazmi; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:10-14
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Deep Learning Projects from a Regional Council: An Experience Report
Jónathan Heras; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:15-19
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An Introduction to AI for GLAM
Daniel van Strien, Mark Bell, Nora Rose McGregor, Michael Trizna; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:20-24
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Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
Erik Marx, Thiemo Leonhardt, David Baberowski, Nadine Bergner; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:25-29
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Teaching Deep Learning, a boisterous ever-evolving field
Alfredo Canziani; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:30-34
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Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challenges
Viviana Acquaviva; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:35-39
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Teaching Responsible Machine Learning to Engineers
Hilde Jacoba Petronella Weerts, Mykola Pechenizkiy; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:40-45
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Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course
Sebastian Raschka; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:46-50
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Teaching Machine Learning in the Context of Critical Quantitative Information Literacy
Carrie Diaz Eaton; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:51-56
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Teaching Uncertainty Quantification in Machine Learning through Use Cases
Matias Valdenegro-Toro; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:57-61
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Experiences from Teaching Practical Machine Learning Courses to Master’s Students with Mixed Backgrounds
Omar Shouman, Simon Fuchs, Holger Wittges; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:62-67
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A lesson for teaching fundamental Machine Learning concepts and skills to molecular biologists
Rabea Müller, Akinyemi Mandela Fasemore, Muhammad Elhossary, Konrad U. Förstner; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:68-72
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Participatory Live Coding and Learning-Centered Assessment in Programming for Data Science
Sarah M. Brown; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:73-77
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Putting the "Machine" Back in Machine Learning for Engineering Students
Rudy Chin, Dimitrios Stamoulis, Diana Marculescu; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:78-82
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Teaching Machine Learning in Argentina: the ClusterAI pipeline
Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre; Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:83-87
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