MIT Policy Hackathon: Data to Decisions
48-hour hackathon convened by MIT’s Institute for Data, Systems, and Society that aims to address some of today’s most relevant societal challenges while fostering an interdisciplinary spirit.
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Computational Social Science: Exciting Progress and Future Challenges
MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge Abstract The past 15 years have witnessed a remarkable increase in both the scale and scope of social and behavioral data available to researchers, leading some to herald the…
Statistical theory for deep neural networks with ReLU activation function
Abstract: The universal approximation theorem states that neural networks are capable of approximating any continuous function up to a small error that depends on the size of the network. The…