This masterclass offers an introduction to the growing role of machine learning in studying interconnected Earth systems, with a focus on oceanic, atmospheric, and cryospheric processes. We’ll look at how ML can support scientific research through techniques like gap-filling, sensor placement, forecasting, and unsupervised classification, while also considering the importance of domain knowledge and physical context. Students will gain familiarity with key approaches, assumptions, and current research directions.
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