Machine Learning: Foundations, Applications, and Algorithms (EECS 395/495, Northwestern University) 

is a graduate/senior-level undergraduate course designed with the objective of bringing interested students and researchers from a wide array of disciplines up to speed on the power and wide applicability of machine learning. Closely following our textbook, the course aims at equipping students with all the modeling and optimization tools they will need in order to formulate and solve problems of interest in a machine learning framework.