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Hackathon: Hack the Rock: 26. / 27. 03. 19

Hackathon: Hack the Rock: 26. / 27. 03. 19

Geoscientific data are heterogeneous and rich data sources. Machine Learning and Deep Learning techniques have a huge potential for their interpretation.

Geoscientific data are heterogeneous and rich data sources. Machine Learning and Deep Learning techniques have a huge potential for their interpretation.

On March 26th we will meet in the Laboratory of IKG and explore two datasets. The first dataset consists of downhole logs from a sea bottom drill project. The second dataset contains raster data from electron microscopy of minerals. The goals are to develop novel approaches in the context of stratigraphic sequences and residence/eruption time estimation. If you want to participate, please register under info@icaml.org, this event is open to all scientists interested in machine learning.

www.icaml.org/news/icaml/2019/02/11/Hack_the_Rock.html

Autor: sester