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CAM Colloquium: Sendhil Mullainathan '93 (Harvard) - Prediction, Causation and Using Machine Learning

Friday, May 6, 2016 at 3:30pm

Frank H. T. Rhodes Hall, 655

One of the common critiques of machine learning models is that they do not produce causal (or sometimes even stable) inferences. In this talk, I will try to lay out a distinction between causation and prediction. Using this distinction, I will illustrate how some very important problems--social and conceptual--can be best tackled with predictive--not causal--tools. I will illustrate using data from criminal justice, behavioral economics and finance.

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College of Engineering, Mathematics, Economics, Center for Applied Mathematics


engineering, math, center for applied math, economics, cam, mathematics



Sendhil Mullainathan '93

Speaker Affiliation

Department of Economics, Harvard University

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