Like, personally, I regard statistics and machine learning as the same subject from different perspectives (mathematics vs computer science). Their differences are primarily driven by the context of the time of their development. Back when we had very little data, we needed strong assumptions to make inferences. As compute increased, this became less necessary and we could just bootstrap instead of needing normal theory confidence intervals.
