2022-ML4SIM3 Data analytics for engineering data using machine learning
23.05.2022 - 25.05.2022
Description
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 SimExplore.
Please visit the main website for more information and registration.
Training material
The Jupyter Notebooks and corresponding data used during the training are available as zipped versions at the June 2022 course page (Event material). You will need to get an account before downloading.
Please contact for any further inquiry.
Presenters
Bastian Bohn (Fraunhofer SCAI)
Christian Gscheidle (Fraunhofer SCAI)
Sara Hahner (Fraunhofer SCAI)
Fee
Free of charge