Temple University 3 credits CIS
This graduate-level course aims to introduce optimization methods that are suitable for machine learning. It will cover fundamental and advanced topics in modern optimization methods, with an emphasis on large-scale optimization algorithms. You will have a deep understanding for state-of-the-art optimization methods and learn how to utilize these optimization methods to train machine learning models. Note: To register for this course, students should have earned a grade of "C-" or better in college-level Python Programming/MATLAB Programming, Machine Learning, and Algebra and Calculus.
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