If you dont have a lot of data, then statistical learning. If your data is structured and have well defined interpretations, then statistical learning.

So if you have lots of data and no reasonable way to extract information or process them, you go to DL stuff.

You can get a lot of mileage out of gradient boosted trees and other forms of ensembles.