# II - Multivariate Classification and Machine Learning in HEP

- Institution: CERN
- Department: inverted CSC
- Speaker: Thomas KECK
- Year: 2016
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3002922)
- 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)

A summary of the history of deep-learning is given and the difference to traditional artificial neural networks is discussed. Advanced methods like convoluted neural networks, recurrent neural networks and unsupervised training are introduced. Interesting examples from this emerging field outside HEP are presented. Possible applications in HEP are discussed..

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## Lectures

1. [II - Multivariate Classification and Machine Learning in HEP](https://invisiblenetwork.ai/learn/cern/3002922/09cc998bcee1), 1 h 7 min (CERN's player)