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UGBA 198: Methods and Mathematical Foundations of Machine Learning for Business Decisions.

Description: How can we make a prediction that depends on a very large number of economic variables? Can we mathematically represent how similar two different consumers are? How are integer linear programs actually solved? This course is designed to introduce students of all majors to a theoretical foundation for applying machine learning to business decisions. Specifically, our course is geared toward effectively evaluating decisions to maximize profit in a way that is not currently taught in the computer science, business administration, nor economics departments.

Course website: http://www.ugba198.com

Please contact Neel Somani (neel@berkeley.edu) or Jason Bao (jzbao@berkeley.edu) if you have any questions.

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