EE5239: Intro to Nonlinear Optimization with Applications in Machine Learning and Artificial Intelligence

This course introduces the fundamental theory of nonlinear optimization, classical algorithms, and how they are applied to modern applications. The focus of this course will be on the computational aspects, emphasizing how theory and algorithms can be customized to analyze and solve problems arising in signal processing, data science, and machine learning. Throughout the class, a few machine learning applications, including pre-training and fine tuning of large language models, will be thoroughly discussed.

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