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Does the course provide access to real collision data and simulations for students to practice applying machine learning to their specific analyses?
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About Machine Learning for High Energy Physics
Machine Learning for High Energy Physics (ML for HEP) offers a self-paced online course on applying machine learning techniques to high energy physics research. The course is structured as six modules and is aimed at physicists who need to use machine learning in their analyses, improve upon cut-based selections, or evaluate colleagues' machine-learning results. It uses real collision data and simulation and is built on peer-reviewed physics research. The business also offers a free first module and a one-page roadmap, along with a 30-day money-back guarantee.
- Website
- hepml.com
- Phone
- +372 5559 0674
- [email protected]
- Address
- Ruunaoja tn. 3, Tallinn, Estonia
- Categories
- Higher education, Research, E-learning
