2024-2025 Graduate Catalog 
    
    Nov 24, 2024  
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2024-2025 Graduate Catalog

COM 575 - Machine Learning and Intelligent Systems

3 credit hours
The objective of this course is to provide an introduction to the fundamental concepts, algorithms, and theories in machine learning. The course will cover perceptrons, linear models, nonlinear embedding methods, neural networks/deep learning, parametric/non-parametric methods, kernel machines, mixture models and graphical models. Various examples and applications will also be discussed.


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