I agree with this comment because ML comprises some techniques that are still not understood [1].
I would like to think that statistics comes more from a pure math approach, loosely, while ML comes from an applied math approach, loosely. ML works spectacularly well on a class of problems. Why it does what it does is (in)conveniently brushed under the rug. How you treat that (in)convenience is left to you.
"...a...what-a-nite?"
"A Mossainite. Artificial, spurious, not-genuine and it's worth....fuck all"