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SUMMARY:By DKZ.2R: Data Analytics for Engineering Data Using Machine Learn
 ing
DTSTART:20260202T080000Z
DTEND:20260204T160000Z
DTSTAMP:20260521T060625Z
UID:4a24f6e6d24e4ab7b5d7e9c64296d401@www.fz-juelich.de
CONTACT:Alicia Janz\, info@dkz2r.de\, https://drive.tools.coscine.dev/form
 /#/2/form/view/VB1HXfYzSzXoyx7HjHtDZ-ixoru4e8Nvrse6uqlnuFA/
CREATED:20251201T124956Z
DESCRIPTION:We are happy to announce our new course “Data analytics for 
 engineering data using machine learning”. The event will take place onli
 ne on three consecutive days in february of 2026. This three-day online wo
 rkshop addresses the preparation\, analysis and interpretation of numerica
 l simulation data by machine learning methods. Besides the introduction of
  the most important concepts like clustering\, dimensionality reduction\, 
 visualization and prediction\, this course provides several practical hand
 s-on tutorials using the python libraries numpy\, scikit-learn and pytorch
  as well as the SCAI DataViewer.
LAST-MODIFIED:20260407T073744Z
LOCATION:online
URL:https://www.fz-juelich.de/en/ias/ias-9/news-and-events/events/by-dkz-2
 r-data-analytics-for-engineering-data-using-machine-learning
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