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The math behind Machine Learning in the context of Particle Physics

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Machine Learning in Particle Physics

⚠️ **This is the old repository of 2022-2023.

Please go to the new one: Introduction to Machine Learning**

What is this?

This repository holds the online pages of the course on Machine Learning in Particle Physics.

It is designed for the Master's program of the African Institute for Mathematical Sciences (AIMS).

The course uses Jupyter-Book as a wrapper for displaying lecture content and exercises.

Programming tutorials and assignments will be done in Python using Jupyter Notebooks.

Calendar

This course was delivered:

  • January 2023: AIMS Senegal
  • February 2023: AIMS South Africa
  • April/May 2023: AIMS Ghana

Gratitude

Thanks to the Jupyter universe for providing a great educational platform and making my life easier.

Thanks to Matthew Feickert to point out the convenient Jupyter-Book tool.

Thanks to Sam Meehan for insisting ;)

Thanks to Michaël Ughetto for the added knowledge, content and frankness.

Thanks to Harrison Prosper for being an amazing guide and mentor, as well as for sharing curated tutorials that saved me numerous hours.

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