Abstract is missing.
- Teaching ML in 2021 - An Overview and IntroductionOliver Guhr, Katherine M. Kinnaird, Peter Steinbach. 1-4 [doi]
- Staying Ahead in the MOOC-Era by Teaching Innovative AI CoursesPatrick O. Glauner. 5-9 [doi]
- Teaching machine learning through end-to-end decision makingHussain Kazmi. 10-14 [doi]
- Deep Learning Projects from a Regional Council: An Experience ReportJónathan Heras. 15-19 [doi]
- An Introduction to AI for GLAMDaniel van Strien, Mark Bell, Nora Rose McGregor, Michael Trizna. 20-24 [doi]
- Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) MisconceptionsErik Marx, Thiemo Leonhardt, David Baberowski, Nadine Bergner. 25-29 [doi]
- Teaching Deep Learning, a boisterous ever-evolving fieldAlfredo Canziani. 30-34 [doi]
- Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challengesViviana Acquaviva. 35-39 [doi]
- Teaching Responsible Machine Learning to EngineersHilde Jacoba Petronella Weerts, Mykola Pechenizkiy. 40-45 [doi]
- Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning CourseSebastian Raschka. 46-50 [doi]
- Teaching Machine Learning in the Context of Critical Quantitative Information LiteracyCarrie Diaz Eaton. 51-56 [doi]
- Teaching Uncertainty Quantification in Machine Learning through Use CasesMatias Valdenegro-Toro. 57-61 [doi]
- Experiences from Teaching Practical Machine Learning Courses to Master's Students with Mixed BackgroundsOmar Shouman, Simon Fuchs, Holger Wittges. 62-67 [doi]
- A lesson for teaching fundamental Machine Learning concepts and skills to molecular biologistsRabea Müller, Akinyemi Mandela Fasemore, Muhammad Elhossary, Konrad U. Förstner. 68-72 [doi]
- Participatory Live Coding and Learning-Centered Assessment in Programming for Data ScienceSarah M. Brown. 73-77 [doi]
- Putting the "Machine" Back in Machine Learning for Engineering StudentsTing-Wu Chin, Dimitrios Stamoulis, Diana Marculescu. 78-82 [doi]
- Teaching Machine Learning in Argentina: the ClusterAI pipelineMartin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre. 83-87 [doi]