Fighting Archetypal Overfitting of Data

Author’s note: the rest of the post applies predominantly to processing raw, numerical data, especially time series data. Indeed, while this may be relevant for computer vision or NLP problems, it is likely less interesting at the level of the raw data. I find the archetypes by which we work with data fascinating. When we work with data, we see it nearly exclusively in tabular format our in some form of a graph. We engage only one sense (sight), or perhaps taste or hearing in the rare cases we a...

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