Shypd.aiThe largest open index of AI toolsOptML_course is an Open Source educational resource that provides an EPFL course on Optimization for Machine Learning (CS-439). It covers modern mathematical optimization methods for machine learning and data science applications, including scalability for large datasets.
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OptML_course is the official GitHub repository for the EPFL course "Optimization for Machine Learning - CS-439." This comprehensive course offers an in-depth overview of contemporary mathematical optimization techniques specifically tailored for machine learning and data science applications. A key focus is on the scalability of algorithms when dealing with large datasets, combining theoretical discussions with practical implementations. The curriculum includes topics such as Convexity, Gradient Methods, Proximal algorithms, Stochastic Gradient Descent, Newton's Method, Frank-Wolfe, Coordinate Descent, and advanced concepts like Parallel and Distributed Optimization. It provides lecture notes, slides, lab exercises with solutions, and past exams for practice, making it a valuable resource for students and practitioners alike.
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