— Applied Machine Learning for Electrical & Computer Engineers

Prerequisites & course information

Course Description: Fundamental techniques in machine learning for data preparation, preprocessing, classification, and regression. Bringing practical machine learning algorithms to the field and deploying them on real problems in hardware, mobile health, embedded systems, security, and other related topics. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter.