CS 654 Machine Learning and Data Mining

Discussion of machine learning and data mining algorithms, implementations, systems, and applications. Topics include unsupervised learning, supervised learning, reinforcement learning, data preprocessing, data clustering, data classification, mining association rules, and anomaly detection.

Prerequisites: CS 601 or 617 or permission of the graduate program director

Credits

3