VeranstalterInWegener Center für Klima und Globalen Wandel
VeranstaltungsortOrt: Seminar Raum Wegener Center, Brandhofgasse 5, 1. Stock
TeilnahmeTermin vormerken: Termin vormerken
Machine learning, neural networks and artificial intelligence are becoming almost inflationary buzzwords, nevertheless these techniques increasingly shape and influence science and society. Data-driven algorithms allow to cope with the tremendous amounts of data in modern experiments, ranging from particle  to astrophysics . Especially for earth-observations there are also numerous examples where so-called deep learning networks  or a combination of different algorithms  can lead to new insights and open up new possibilities beyond established statistical methods.
In this talk I will be giving a brief introduction to modern data science methods and discuss some recent applications in science and research. I will highlight pros and cons of these algorithms and focus on examples from weather and climate research.
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 Thomas Weber et al., Nat. Com. 10, 4584 (2019)