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The Higgs Boson Machine Learning Challenge is held jointly with CERN and is dedicated to the search for the elusive Higgs Boson, using data from the ATLAS collaboration at CERN. The goal is to study potential promising approaches to Machine Learning (ML) to improve the detection significance of the ATLAS experiment.
About 1,800 teams from across the world have taken part in the Higgs Boson Machine Learning Challenge, and the top achievements will be applied in practice at CERN.