Hi,
Thank you for all your comments.
Since many discussions with tags related to deep-learning, ml, and modeling have been put under tidyverse, (and I've personally always thought of many of these modeling and ml packages as natural parts of the tidyverse), I wanted I'd touch base with y'all here before making any change.
I set-up a Machine Learning and Modeling category here: https://community.rstudio.com/c/ml and I am moving all older related topics to this category.
The description currently reads:
For discussions related to modeling, machine learning and deep learning.
Not an exhaustive list, but some related topics include caret, modelr, yardstick, rsample, parsnip, tensorflow, keras, cloudml, and tfestimators.
Although there's no argument that deep-learning, machine learning, and modeling are broad areas and often distinct from one another, I include them together in one category to avoid confusion with folks newer to community. I feel if we just had deep-learning without ml and modeling, you'd see those discussions end up there anyway. If we had single categories for each I strongly suspect people might be confused as to where to post. We can split up categories later when the need is apparent.
* updated to address @Tazinho's concern.