ECE 403/503 Optimization for Machine Learning

The techniques to be studied in the course include the gradient descent, Newton, quasi-Newton, and stochastic gradient methods for optimization with or without constraints. The course also addresses application of optimization methods for multi-category classification, logstic regression, and support vector machines. The course includes laboratory sessions to program various optimization algorithms and to apply them to several machine learning problems involving real-world datasets.

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