The RLum.Network migrates to Mastodon. However, we did not abandon Twitter (yet); for the moment, it remains a co-existence.

Who are we? (#Introduction)
We are geoscientists and physicists concerned with #luminescence data analysis using the statistical programming environment #R. This channel mainly reports on scientific publications and updates about our #RPackages.

@askans

In my opinion, #R is very suitable for #MachineLearning. With R, machine learning can be easily integrated into usual #rstats data analysis workflows. #RPackages provide access to virtually all relevant machine learning algorithms like #NeuralNetworks, Support Vector machines (#SVM), #RandomForests, Extreme Gradient Boosting (#XGBoost), #WEKA algorithms, etc.

Does anyone of the @rstats@gup.pe group have further recommendations?

See reply for sources: 4 books on machine learning.