Feedbacks on a Machine Learning Curriculum for an International AudienceDownload PDF

Anonymous

28 Jun 2021 (modified: 05 May 2023)Submitted to TeachML 2021Readers: Everyone
Keywords: Teaching ML, curriculum, lessons, feedback, The Carpentries
TL;DR: We present an existing ML curriculum, highlighting somefeatures and possible improvements, and hoping this can help fueling discussion around Teaching ML.
Abstract: Teaching Machine Learning (ML) can be challenging due to the breadth of the subject and the diversity of audience that might be interested in it. In this article, we collectively place ourselves both at the curriculum level and at the lesson level, describing existing practices and sketching directions for improvement. We first describe a curriculum for ML practitioners that involves different constraints including the variety of audience, both in terms of background and in terms of learning goals. We also explain how some of the lessons relate to the teaching principles that are pushed forward for example by The Carpentries and how the future of the curriculum could be reshaped.
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