epfml/OptML_course
EPFL university course CS-439 teaching mathematical optimization methods for machine learning and data science.
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This repository contains lecture materials and exercises for an EPFL course on optimization for machine learning. The course covers modern optimization algorithms including gradient methods, stochastic optimization, accelerated methods, and second-order methods. Advanced topics include distributed optimization, federated learning, and non-convex optimization for training neural networks.
Frequently asked
- What is epfml/OptML_course?
- EPFL university course CS-439 teaching mathematical optimization methods for machine learning and data science.
- Is OptML_course open source?
- Yes — epfml/OptML_course is an open-source project tracked on heatdrop.
- What language is OptML_course written in?
- epfml/OptML_course is primarily written in Jupyter Notebook.
- How popular is OptML_course?
- epfml/OptML_course has 1.5k stars on GitHub.
- Where can I find OptML_course?
- epfml/OptML_course is on GitHub at https://github.com/epfml/OptML_course.