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Machine Learning for High Energy Physics

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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
Address
Ruunaoja tn. 3, Tallinn, Estonia