MACHINE LEARNING AND DATA MINING

Graduate

Machine learning is the study of mechanisms for acquiring knowledge from large data sets. This course examines techniques for detecting patterns in sets of uncategorized data. Supervised and unsupervised learning techniques are studied, with particular application to real-world data. A graduate-level project and report will be required with a focus on neural networks and an application of deep learning to a real world domain. This course is cross-level listed with CS 4120. Credit cannot be received for both MCS 8120 and CS 4120. PREREQUISITE: Admission to a graduate program in Science HOURS OF CREDIT: 3