Machine Learning and Causal Interference -- Susan Athey

On March 1, 2018, CEGA and the World Bank’s Development Impact Evaluation initiative (DIME) held a one-day workshop at the Google Community Space in San Francisco to explore the role of machine learning in economic research and public policy. We examined how AI and related technologies are being applied to a broad array of challenges in global development—from predicting migration patterns and crop yields, to detecting corruption, estimating poverty, and learning about consumers at the base of the economic pyramid.

Видео Machine Learning and Causal Interference -- Susan Athey канала Center for Effective Global Action