At Science Node, we need your help. We have ALMOST reached our fund-raising goal. In order to maintain our independence as a source of unbiased news and information, we don’t take money from big tech corporations. That’s why we’re asking our readers to help us raise the final $10,000 we need to meet our budget for the year. Donate now to Science Node's Gofundme campaign. Thank you!
This is the first announcement of the MLHEP Summer School on
Machine Learning for High Energy Physics, to be held at
Saint-Petersburg, Russia, just before LHC Physics Conference on August 27-30, 2015.
The primary goal of this year's MLHEP school will be a focused introduction to modern machine learning techniques that could improve physics performance for variety of HEP problems. School pays attention to student experience, so along with "hands-on" seminars a dedicated data science competition will be organized.
Additionally, the school will include series of talks that show real examples of improvements for particular physics cases due to machine learning techniques.
The school is ideally suited for advanced graduate students and young postdocs.
For further information, including application procedures, please
refer to the Summer School website:
or contact email@example.com.
Application deadline is June 19, 2015.
Yandex School of Data Analysis