Machine Learning Times
Machine Learning Times
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2 years ago
The Loss of Inference

    For more from this writer, Stephen Chen, see his session, “The Perils of Prediction” at PAW Business, June 19, 2019, in Las Vegas, part of Mega-PAW. The burgeoning field of Data Science / Machine Learning borrows heavily from Statistics but bastardizes it. For example, “dummy variable” becomes “one-hot encoding”, “independent variables” become “features”. This shift in nomenclature results in a loss of methodological meaning that was inherent in the original names; for instance, a casual Google search on the “auto-mpg” dataset will throw out many how-to pages, almost all of which treat the variables as “features”

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