Statistics, Data Science, Analytics, Business Intelligence, Machine Learning.
use vanilla GLM. But if you care about making better predictions, you use regularized GLM. And when you have more predictors than observations (p > n), you are forced to use regularization anyway because the MLE does not exist. Talking about regularization is hard because different packages have