Tootfinder

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
https://europeanweather.cloud/use-cases/machine-learning-emulation-accelerate-climate-science

The preprint of the paper is here btw: #MachineLearning methods to emulate #Greenland ice sheet melt via European Weather Cloud computing
https://europeanweather.cloud/use-cases/machine-learning-emulation-accelerate-climate-science

Tidy Modeling with R: #rstats #machinelearning

Tidy Modeling with R
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. This book provides a thorough introduction to how to use tidymodels, and an outline of good methodology and statistical practice for phases of the modeling process.

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,

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

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

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