Category Archives: Machine Learning

Why Distinguishing Experiential and Inferential Computational Knowledge is Important

Scientific communities are grappling with assessing knowledge derived from computational processes: interpretability of machine learning models; generalizability of data science claims; verifiability of computational science. There are two broad categories of “knowing” at play here that distinguish approaches to understanding … Continue reading

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