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Course Prefix: CSE   Course #: 474   Keywords: null   showing 1 to 1 of ~1

CSE 474LEC Introduction to Machine Learning

Lecture

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
Prerequisites: CSE 250 and EAS 305 or MTH 411 or STA 301 or MTH 309. Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors only.
 
Published: Dec 05, 2019 11:02:43