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Machine Learning for Economics

This course will introduce machine learning (ML) principles along with supervised and unsupervised ML techniques. The emphasis will be on applying ML techniques to text data using Python programming language. The lectures will also discuss how machine learning techniques are being deployed in the field of economics with applications such as constructing high-dimensional data on economic activity, detecting discrimination, reducing racial disparities, and inferring impact of environmental damage on human health among others.

Prerequisites: ECO 2101 (Microeconomic Theory 1), ECO 2400 (Econometrics)

Study at Ashoka

Study at Ashoka