Corpus ID: 236635032

Developing Open Source Educational Resources for Machine Learning and Data Science

@article{Bothmann2021DevelopingOS,
  title={Developing Open Source Educational Resources for Machine Learning and Data Science},
  author={Ludwig Bothmann and Sven Strickroth and Giuseppe Casalicchio and David Rugamer and Marius Thomas Lindauer and Fabian Scheipl and Bernd Bischl Department of Statistics and Ludwig-Maximilians-Universitat Munchen and Germany and Institute of Computer Science and Institute of Information Process and Leibniz-University Hannover},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.14330}
}
Education should not be a privilege but a common good. It should be openly accessible to everyone, with as few barriers as possible; even more so for key technologies such as Machine Learning (ML) and Data Science (DS). Open Educational Resources (OER) are a crucial factor for greater educational equity. In this paper, we describe the specific requirements for OER in ML and DS and argue that it is especially important for these fields to make source files publicly available, leading to Open… Expand

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