Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the […]
Name: Process Mining and Scientific Workflows running on the HPC cluster Date: October 11, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information Description Short abstract: The goal of Process Mining is to turn event data into insights and actions. On the other side, there exist scientific workflows running on HPC clusters. […]
Name: Introduction to Machine Learning and Deep Learning Date: October 12, 2023 & October 13, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information Description Short abstract: Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way, but also the scientific […]
Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking Date: October 26, 2023 Time: 1.00 pm - 5.00 pm Format: hybrid More Information Description Short abstract: In this course, the basics of Lagrangian point particle methods for the application on HPC systems are covered. The course consists of an introduction to […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the […]
