Machine Learning for New Interfaces is an introductory course with the goal of teaching machine learning concepts in an approachable way to students with no prior knowledge. We will explore diverse and experimental methods in Machine Learning such as classification, recognition, movement prediction and image style translation. By the end of the course, students will be able to create their own interfaces or applications for the web. They will be able to apply fundamental concepts of Machine Learning, recognize Machine Learning models in the world and make Machine Learning projects applicable to everyday life. Prerequisite: Creative Coding Lab or equivalent programming experience Fulfillment: IMA/IMB elective.

Interactive Media Arts (Undergraduate)
4 credits – 16 Weeks

Sections (Spring 2022)

INTM-SHU 215-000 (19661)
01/24/2022 – 05/13/2022 Tue
4:00 PM – 7:00 PM (Late afternoon)
at Shanghai
Instructed by Moon, Jung Hyun