# ML at ATLAS&CMS : setting the stage

- Institution: CERN
- Department: LPCC Workshops
- Speaker: Mauro DONEGA
- Year: 2015
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3008565)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

In the early days of the LHC the canonical problems of classification and regression were mostly addressed using simple cut-based techniques. Today, ML techniques (some already pioneered in pre-LHC or non collider experiments) play a fundamental role in the toolbox of any experimentalist. The talk will introduce, through a representative collection of examples, the problems addressed with ML techniques at the LHC. The goal of the talk is to set the stage for a constructive discussion with non-HEP ML practitioners, focusing on the specificities of HEP applications..

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## Lectures

1. [ML at ATLAS&CMS : setting the stage](https://invisiblenetwork.ai/learn/cern/3008565/7e7e819c28ce), 35 min (CERN's player)