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Winter 2023: Applied Machine Learning for Modeling Human Behavior
Winter 2023: Applied Machine Learning for Modeling Human Behavior
Course No:
EECS 448
Credit Hours:
4
Instructor:
Emily Provost
Prerequisites:
"Enforced Prerequisite: EECS 281 and (MATH 214 or 217 or 296 or 417 or 419, or ROB 101); (C or better; No OP/F) or Graduate Standing in CSE Advisory Prerequisite: EECS 445"
Machine learning, with a focus on human behavior, across multiple modalities including speech and text. Teams complete projects based primarily on their individual interests centered on modeling an aspect of human behavior. Prior experience with speech/language or other data modeling is not needed.