Today's article comes from the Computational and Structural Biotechnology Journal. The authors are Lemoine et al., from the University of Montreal. In this paper, they argue that much of the academic literature concerning a specific use-case for Machine Learning is seriously flawed. This is a case-study on what happens when you build ML the wrong way. Let's dive in.
DOI: 10.1016/j.csbj.2023.12.006
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