That's because, ML and operations-research problems can be simplified to set of optimization problems and the underlying math and statistics are all very similar if not identical in some cases.
And the input matters, a lot. So the differentiating factor isn't the models, it's the data and companies like Google figured it out a long time ago.
In short, find interesting problems, then the solutions -- not the other way around.
And the input matters, a lot. So the differentiating factor isn't the models, it's the data and companies like Google figured it out a long time ago.
In short, find interesting problems, then the solutions -- not the other way around.