The IEMS 351 Optimization Methods In Data Science course introduces students to mathematical nonlinear optimization and applications in data science. In this course students will learn about the Python programming language and focus on writing implementations of algorithms. In this course students will study the fundamental algorithms and theoretical underpinnings for nonlinear optimization with a focus on support vector machines, nonlinear regression, deep neural networks, and logistic regression.
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