Can I read Learning to discover: the Higgs boson machine learning challenge on EtoBox?

Learning to discover: the Higgs boson machine learning challenge by Claire Adam-Bourdarios, Glen Cowanb, C ́ecile Germainc, Isabelle Guyond, Bal ́azs K ́egla,c, David Rousseaua is a nonfiction available to read on EtoBox.

What is Learning to discover: the Higgs boson machine learning challenge about?

The Higgs boson machine learning challenge (HiggsML or Challenge in short) has been set upto promote collaboration between high energy physicists and data scientists. The ATLAS experimentat CERN provided simulated data used by physicists to optimize the analysis of the Higgsboson. The Challenge is organized by a group of ATLAS physicists and data scientists. It washosted by Kaggle at the challenge data is nowavailable on document provides technical background for the Challenge; reading and understanding itis not necessary to participate in the Challenge, but it is probably useful. No prior knowledgeof high energy physics is required. This document has been minimally modified to serve as apermanent documentation for the dataset on opendata.cern.ch.

Who reads Learning to discover: the Higgs boson machine learning challenge?

Author

Claire Adam-Bourdarios, Glen Cowanb, C ́ecile Germainc, Isabelle Guyond, Bal ́azs K ́egla,c, David Rousseaua

Published

2015

Language

EN

Category

nonfiction