Applied Machine Learning

Undergraduate

Regression and regularization, probabilistic methods, dimension reduction, clustering. Supervised, unsupervised, and reinforcement learning. Data preprocessing. Hands-on experience with machine learning toolboxes. Applications in engineering. Course Format: Lectures, 3 hours per week; lab, 2 hours per week Restrictions: open to BEng majors. Prerequisite(s): IENG 2P12 Co-requisite(s): IENG 3P12 Course Notes: Completing a mini-project in conjunction with IENG 3P12 Automation and Robotics is required.