Catalog Entries |
Date
Apr 25, 2024 |
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| CSC 615 - Machine Learning |
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This course provides an overview of popular algorithms in machine learning. Topics include supervised learning, linear and polynomial regression, classification algorithms, gradient descent, unsupervised learning, instance-based learning, neural networks, and genetic algorithms and boosting. The course requires some knowledge of artificial intelligence, and good programming skills. The theoretical aspects of the algorithms will be studied, and assignments will be given to test their applicability. [3-0, 3 cr.]
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Tutorial Computer Science & Mathematics Department Course Attributes: MS-INE-Comp.Mod.Data.Anal.Req. |
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