Deic Interactive HPC
Learn how to apply AI tools, techniques and algorithms to real-life problems.
You will study the core concepts of Deep Neural Networks, how to build Deep Learning models as well as how to measure and improve the accuracy of your models. You will also learn essential data pre-processing techniques to ensure a robust Machine Learning pipeline.
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Are you developing software or tools that are driven by research/engineering in either academia or industry? Need to network, share knowledge and experiences with your peers?
Nordic-RSE invites everyone interested to join and shape the agenda of our lightweight get-together. The program will consist mainly of your contributions and we encourage you to submit a short abstract for a discussion topic, talk, demonstration, or any other type of program you would like to run beforehand…
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One Danish research group can get the unique opportunity to make their metadata machine actionable in a 2 x 1/2 day event – free of charge. The concept is developed by researchers for researchers.
The aim of the M4M WS is to work practically on how to improve your metadata and make them machine-actionable, thus complying with the Findable, Accessible, Interoperable and Reusable (FAIR) principles.
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