Free ‘Resource-aware Machine Learning’ summer school in Dortmund, Germany (virtually)

The International Summer School on resource-aware Machine Learning brings together lectures from the research area of data analysis (Machine Learning, data mining, statistics) and embedded systems (cyber-physical systems). It aims at taking into account the constraint of limited resources of host devices used for data analysis. The lectures are held by leading experts in these domains. The Summer School is organized in a joint effort of the Competence Center for Machine Learning (ML2R) and the Collaborative Research Center 876 (SFB 876).

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