CO 365 - Optimization Models and Algorithms for Data Science

Modelling problems in data science and machine learning as optimization problems, and their analysis. Solution methods, including gradient descent and its extensions, and their consequences in modelling decisions. Convexity and Lagrangian duality. Applications to clustering and classification problems. Analysis and implementation of computational methods.