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Course Prefix: CSE   Course #: 474   Keywords:     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.

Credits: 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.Computer Science, Computer Engineering, or Bioinformatics majors only
Visit the Office of the Registrar’s Class Schedules page for more detailed and updated information.
Published: Jan 17, 2023 15:11:37