MACHINE LEARNING AND ALGORITHMS FOR COMPUTATIONAL ECONOMICS

Credit Hours: 4 · Graduate

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 .