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uniqplus-aiml-2022's Introduction

Uniq+ AI/ML 2022

This repository contains the teaching materials for the initial training for undergraduate interns in the Uniq+ AI/ML strand. The training aims to provide basic introductions to core concepts and computational infrastructure for research in AI and machine learning. It was taught by:

  • Leo Klarner
  • Jin Xu
  • Ivan Kiskin
  • Seth Flaxman
  • Yee Whye Teh
  • Tim Rudner
  • Patrick Rebeschini
  • Jakob Foerster

and organised by Yee Whye Teh. It was generously supported by the University of Oxford and DeepMind.

Google doc with details of the training: Doc.

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