EECS 448
Applied Machine Learning for Modeling Human Behavior
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.
Prerequisites & course information
[(EECS 281 or 291 and (EECS 245 or MATH 214 or 217 or 296 or 417 or 419 or ROB 101)); (C or better; No OP/F)] or Graduate Standing in CSE. (Prerequisites enforced at registration.) (BS). May not be repeated for credit.
Sources
Catalogue variants
- Applied Machine Learning for Modeling Human Behavior · 4 · College of Engineering catalogue
- Applied Machine Learning for Modeling Human Behavior · Graduate credit