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Data analytics for engineering data using machine learning 2023-ML4SIM1

Description

Registration

Via the form at Fraunhofer SCAI.

The course

As part of the EXCELLERAT P2 training program, Fraunhofer SCAI in cooperation with HLRS offers a three-day workshop on data analytics for simulation data using machine learning.

This three-day online workshop addresses the preparation, analysis and interpretation of numerical 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 hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer (see also the SimExplore tool).

Please visit the main website for more information and registration.

Training material

The Jupyter Notebooks and corresponding data used during the training will be uploaded in this page (Event material). You will need to get an account before downloading.

Please contact  for any further inquiry.

 

Web-urlhttps://www.hlrs.de/training/2023/ml4sim1
Presenters: Bastian Bohn (Fraunhofer SCAI)Christian Gscheidle (Fraunhofer SCAI)Sara Hahner (Fraunhofer SCAI)
Online: Yes