[deong]

I'm not sure I wholly agree there. There's an awful lot of real work being done that makes real money based on deep learning, and deep learning comes from the CS "it works, what's the problem" side of the field as opposed to the statistics "I want formally grounded theory for everything" side.

One of the big pushes in Bayesian statistics recently has been to try to figure what the hell all these neural nets are actually doing. It's certainly not the case that the stats have been in the driving seat there.