Abstract:Sociologists are increasingly turning to machine learning (ML) for data-driven discovery and predictive modeling. ML methods help classify data, compute new measures, predict outcomes and events, make causal inferences, and collaborate within a common-task framework. Although predictive analytics has become a mainstay of public policy analysis and evaluation, the contributions of ML to theory building are less widely appreciated. ML-derived data classifications can reveal patterns that require a new theory, wh… Show more
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