Most machine learning is not on a band limited signal. I've literally seen these tactics applied to demand forecasting. And I just can't square that they should.
Note, I have to hedge and say I am not convinced they are inapplicable. Just not convinced they are applicable.
Also note, I hadn't gotten the article to load when I fired off my concern. I keep the concern, but ack that it is not applicable to this article.
Officially I belong in the ML tribe but all of them are tackling pretty much the exact same problem, any breakthrough in one of them will translate to the others. The name of the topic has changed over the years, the fundamental problem has remained the same -- lets call it another name -- approximating/extracting an unknown function from samples.
This is clearly not the case, since image signal processing, 2D Fourier transforms, etc. are alive and well.