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@ruth_mottram@fediscience.org
2026-03-04 06:39:44

The preprint of the paper is here btw: #MachineLearning methods to emulate #Greenland ice sheet melt via European Weather Cloud computing
europeanweather.cloud/use-case

@ruth_mottram@fediscience.org
2026-03-03 16:55:44

Proud PhD supervisor moment: @… have nice write up to Elke Schlager's brilliant work, (now a preprint in @…) on how we can use #MachineLearning methods to emulate #Greenland ice sheet melt via European Weather Cloud computing
europeanweather.cloud/use-case

@datascience@genomic.social
2026-02-01 11:00:00

Tidy Modeling with R: #rstats #machinelearning

@guerda@ruhr.social
2026-02-22 07:10:28

I am looking for a website which existed a couple of years ago and listed use cases for #MachineLearning. Next to each use case, papers solving the task were listed including the f1 score or other success metrics.
It was extremely useful to see which approaches can be applied to each use case like document classification, image recognition,

@berlinbuzzwords@floss.social
2026-02-05 17:23:05

Berlin in summer anyone? Only 10 days left to submit your paper to become a #bbuzz speaker: #bbuzz #berlin #conference #opensource #search #moderndata #machinelearning

@mapto@qoto.org
2026-01-12 08:23:17

I think I now know where to draw the line between "good" and "bad" #GenAI, and possibly (or rather obviously) the same for #machineLearning. It's simply whether the input data has been constructed rigorously. Put this way it's the most obvious statement ever, but somehow

@berlinbuzzwords@floss.social
2026-02-12 15:25:25

Our Call for Papers for Berlin Buzzwords closes this Sunday, February 15!
We encourage everyone in modern data infrastructure, search and machine learning and focused on open source software projects to submit their talk proposals, especially first-timers and people from underrepresented groups! #bbuzz #OpenSource #Berlin #Conference #MachineLearning #Search #DataInfrastructure #DataScience