CSE 474: Introduction to Machine Learning
This page refers to the Fall 2005 offering of CSE 474 only. The information on this page does not necessarily apply to every offering of CSE 474.
Fall 2005
22173
Staff
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.
None presently available.
CSE 250; EAS 305 or MTH 309; permission of instructor
