Category Archives: Machine Learning

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 →