Tootfinder

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.

Somehow, every story I see posted here from cybersecuritynews.com is overstated clickbait garbage.
So, take this with a grain of salt… https://mastodon.social/@statsonstatspodcast/114916118386809162

Next week our ECR group are starting a #MachineLearning sprint to speed up the development of our new #IceSheet surface mass budget emulation models.
I'm looking for hints, ideas tips and inspiration to help smooth and accelerate the process.
If you're used to working in #Sprint mode, what in your opinion makes it work or otherwise hinders it?
What can I as supervisor do to make it run better?
And how should we celebrate it's conclusion?
Also, should me do an #AMA on the process?
#ClimateScience #IceSheets #Greenland #Antarctica

On reflection, I think the big mistake is the conflation of #AI with #LLM and #MachineLearning.
There are genuine exciting advances in ML with applications all over the place, in science, (not least in my own research group looking at high resolution regional climate downscaling), health diagnostics, defence etc. But these are not the AIs that journalists are talking about, nor that are really related the LLMs.
They're still good uses of GPUs and will probably produce economic benefits, but probably not the multi- trillion ones the pundits seem to be expecting
#AIbubble is that I agree with so much of it.
I'm now wondering if I've missed something about #LLMs? The numbers and implications for stock markets are terrifyingly huge!
https://www.wheresyoured.at/the-haters-gui/