CS 549 - Machine Learning

Units: 3

Grading Method: LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC

Prerequisite(s): CS 210 and MATH 254.

Algorithms and computer methods for machine learning. Supervised methods: convolutional neural networks, feedforward neural networks, linear regression, logistic regression, support vector machine; unsupervised methods: dimensionality reduction, k-means clustering, subspace learning. Applications in classification, regression and visualization.

Maximum Credits: 3