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Machine Learning at the Large Hadron Collider

Episode #144, published Tue, Dec 26, 2017, recorded Thu, Dec 14, 2017.

This episode is carbon neutral.
We all know Python is becoming increasingly important in both science and machine learning. This week we journey to the very forefront of Physics.

You will meet Michela Paganini, Michael Kagan, and Matthew Feickert. They all work at the Large Hadron Collider and are using Python and machine learning to help make the next major discovery in Physics.

Links from the show

Michela on Twitter: @WonderMicky
Michael on Twitter: @Michael_A_Kagan
Matthew on Twitter: @HEPfeickert

LHCb’s Starterkit: lhcb.github.io/starterkit

Packages
Keras: keras.io
Scikit-optimize: scikit-optimize.github.io
Scikit-HEP: scikit-hep.org
PyTorch: pytorch.org

Movie trailer: Particle Fever: youtube.com/watch?v=Rikc7foqvR
Video: Processing LHC Data: youtube.com/watch?v=jDC3-QSiLB4

Books:
Present at the Creation: Discovering the Higgs Boson: amzn.to/2jUYErc
We Have No Idea: A Guide to the Unknown Universe: amzn.to/2Bohl09
Episode transcripts: talkpython.fm

Stay in touch with us
Subscribe on YouTube (for live streams): youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @mkennedy

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