Explainable machine learning for the environmental sciences. Prof.Dr.-Ing. Ribana Roscher.06.08.2021

Machine learning methods have been an integral part of many application areas for some time. Especially with the recent development of neural networks, these methods are increasingly used in the sciences to obtain scientific results from observational or simulation data. Besides high accuracy, a desired goal is to learn explainable models and to understand how a specific decision was made. To achieve this goal and obtain explanations, knowledge from the domain is needed, which can be integrated into the model or applied post-hoc. This presentation addresses explainable machine learning approaches in the environmental sciences and shows that machine learning can not only be used to learn models that should be consistent with our existing knowledge but can also lead to new scientific insights.

Видео Explainable machine learning for the environmental sciences. Prof.Dr.-Ing. Ribana Roscher.06.08.2021 канала International Future AI Lab AI4EO TUM