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Summary

We propose a one-week introduction to data sciences for geosciences. This doctoral course is free and based on courses, practices and a project. The aim of the course is to learn the basics of machine learning and statistical modeling with their implementation for geoscientific problems using dedicated libraries (e.g, Pyhton, Keras). It is given in English upon request at the beginning of the session. For more details, please contact mathieu.fauvel@inra.fr.

Registration deadline: Friday 15 of November 2019

Place and dates

  • Monday 27 to Friday 31 of January 2020
  • ENSEEIHT, Toulouse, France

Support

This course is supported by

  • LEFE/MANU (link),
  • the Artificial and Natural Intelligence Toulouse Institute (ANITI, https://en.univ-toulouse.fr/aniti), ANITI is coordinated by the University of Toulouse within the framework of France’s « Investing for the Future – PIA3 » program (Villani Plan),
  • Doctoral School ED173 « Geosciences, Astrophysics, Space and Environmental Sciences » (http://sdu2e.obs-mip.fr/)
  • Observatoire Midi-Pyrénées (http://www.obs-mip.fr/en/)

The support of the following doctoral schools is also currently requested:

  • Mathématiques et STIC, Université Bretagne Loire
  • Terre Univers Environnement, Grenoble
  • Sciences de la Mer et du Littoral, Université Bretagne Loire

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