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CS 713 - Applied Machine Learning |
Machine learning approaches applied to real-world problems. Topics include classification, regression, clustering, decision trees and random forests, Bayesian networks, deep learning, face and object recognition, time-series forecasting, anomaly detection, natural language processing, and machine translation.
0.000 OR 3.000 Credit hours 3.000 Lecture hours 0.000 TO 3.000 Lab hours Levels: Graduate Schedule Types: Lecture, Lab, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Programs: MSc CS (HCC) Course MSc Computer Science Project MSc CS (Data Science) Course MSc Computer Science Thesis MSc Computer Science Course Must be enrolled in one of the following Levels: Graduate |
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