There are lots of reasons, principally among them that Kaggle comps problems represent only one tiny fraction of ML problems. On general purpose ML, with out m

There are lots of reasons, principally among them that Kaggle comps problems represent only one tiny fraction of ML problems. On general purpose ML, with out much time rigging a optimal solution, RF/Xgboost will preform better. But in many problems, ie vision, DL is vastly superior. The other important point is that there many new opportunities for researchers regarding DL, where statistical ML approach on supervised problems is a much more well established field.