CSC 420 Machine Learning

An introduction to machine learning. Topics may include supervised and unsupervised approaches to learning, assessing and comparing algorithms, classification, regression, clustering, parameter estimation, generative methods, reinforcement learning, dimensionality reduction, structured prediction, anomaly detection, ensemble learning methods, and significant applications.

Credits

3

Prerequisite

CSC 117 with a grade of C- or higher and MAT 205, or permission of the instructor.