Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
SDSU CS 549 — Machine Learning
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.
Course requirements
Prerequisites: CS 210 and MATH 254.
- CS 210 and MATH 254.