# Feature Extraction

- Institution: CERN
- Department: LPCC Workshops
- Speaker: Sergei Dr. GLEYZER
- Year: 2015
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3001123)
- 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)

Feature selection and reduction are key to robust multivariate analyses. In this talk I will focus on pros and cons of various variable selection methods and focus on those that are most relevant in the context of HEP..

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## Lectures

1. [Feature Extraction](https://invisiblenetwork.ai/learn/cern/3001123/f4b71759cd70), 41 min (CERN's player)