Machine Learning and Algorithms for Computational Economics

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1500

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ECON 510 Description: This course will cover supervised learning (both regression and classification) , reinforcement learning, and model selection via validation procedures. The course prepares students to apply a variety of classical and cutting-edge machine learning techniques to problems in economics. Students will be taught principled approaches that adhere to best practices and promote understanding and transparency. Graduate/Undergraduate Equivalency: ECON 434 . Mutually Exclusive: Cannot register for ECON 634 if student has credit for ECON 434→ECON 634→unlocks 1 courses

1 mapped course lists ECON 634 as a prerequisite. See on the map →

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