Fraunhofer SCAI in cooperation with HLRS offers a three-day workshop on data analytics for simulation data using machine learning. The content of this workshop was developed within the training program of EXCELLERAT.

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).