Course Prefix:CSECourse #: 474Keywords:showing 0 to 1
CSE 474LEC Introduction to Machine Learning
Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning.
3 Grading: Graded (GRD) Typically Offered:
Fall, Spring Requisites: Pre-Requisite: CSE 250 and (EAS 305 or MTH 411 or STA 301) and MTH 309. Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors only.