You still need to understand your data well to understand how to train the model, though, and how to apply primitive ML operations - classification, regression, clustering, etc. - to a real-world problem.)
And this is the kind of stuff that I believe can be done by people who don't necessarily need phd's in Stats or ML. A decent grounding in statistics / ML, and good domain knowledge should be enough to support using pre-packaged algorithms to solve business problems.
And this is the kind of stuff that I believe can be done by people who don't necessarily need phd's in Stats or ML. A decent grounding in statistics / ML, and good domain knowledge should be enough to support using pre-packaged algorithms to solve business problems.