6-8 December 2021
online
Europe/Berlin timezone

Introduction to Machine Learning with Python

The workshop will take place online. For course outline see agenda below.


Prerequisite for the participation in this workshop is the previous successful participation in a Python basics course such as this one or equivalent Python skills. Without sufficient Python knowledge, participation is not recommended.


This workshop is part of the PIER Education Platform (PEP) for career, research and soft skills. The workshops in PEP are open for PhD students of the PIER Helmholtz Graduate School and its cooperation partners on Bahrenfeld Campus/DESY. PEP is a cooperation of the PIER Helmholtz Graduate School, the Quantum Universe Research School QURS, and the Research School of the Hamburg Center for Ultrafast Imaging/Advanced Imaging of Matter CUI/AIM. PhD students from other affiliated research centers such as DASHH, the Collaborative Research Center SFB 925, the International Max Planck Research School for Ultrafast Imaging & Structural Dynamics IMPRS-UFAST, the Centre for Structural Systems Biology CSSB, and the European Molecular Biology Laboratory EMBL may also participate upon request.

Note: Your registration is pending until the final confirmation from the organisers, which will be e-mailed to you after the end of the registration deadline. The number of available places is limited to twelve.
 

                                                   https://indico.desy.de/getFile.py/access?resId=3&materialId=0&confId=13331

Starts
Ends
Europe/Berlin
online
  • Bernd Klein

This workshop counts for 1.5 credit points in category C (key skills) of the PIER study programme.

Date and time: 6-8 December 2021, 9 a.m.- 5 p.m.
Provider: BODENSEO