# HEP meets ML award talk : XGBoost

- Institution: CERN
- Department: LAL (Orsay)
- Taught by: Tong HE, Tianqi CHEN
- Year: 2015
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3009412)
- 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)

Tianqi Chen and Tong He (team crowwork) have provided very early in the challenge to all participants XGBoost (for eXtreme Gradient Boosted). It is a parallelised software to train boost decision trees, which has been effectively used by many participants to the challenge. For this, they have won the "HEP meets ML" award which is the invitation to CERN happening today..

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## Lectures

1. [HEP meets ML award talk : XGBoost](https://invisiblenetwork.ai/learn/cern/3009412/6dedfac6b517), 35 min (CERN's player)