HZB Machine Learning Summer School 2021

chaired by Gregor Hartmann (Helmholtz-Zentrum Berlin), Tamara Husch (Helmholtz-Zentrum Berlin), Jens Viefhaus (Helmholtz-Zentrum Berlin für Materialien und Energie GmbH)
from to (Europe/Berlin)
at Helmholtz-Zentrum Berlin ( virtual only! )
Description

We are happy to announce the second HZB Machine Learning Summer School & Hackathon 2021, bringing together master and PhD students having data science/computer science/informatics background with early career scientists (PhD to early Postdoc) from internationally renowned research institutions who apply machine learning to solve pressing challenges in the natural sciences.

The Summer School targets both “beginners” and the “experienced”. It will serve both groups with dedicated sessions. Therefore, the format is adapted as follows:

  • A preparation day on the Friday – preceding the actual Summer School week! – is mandatory for everybody, to familiarize everybody with the toolbox utilized during the Summer School and in order to provide an effective learning environment for everybody.
  • The experienced groups will start with two days filled with a mixture of lectures, keynotes and a thorough introduction into their hackathon project. The introduction will be followed by three full days diving deep into their hackathon project.
  • The beginners groups will participate in a four-day lecture series on machine learning basics, including techniques of deep learning and reinforcement learning, effectively combined with hands-on tutorials. Participants will be given the opportunity to develop a "hands-on AI method competence"
Material
Go to day