Comment by michalrichards9

I am not an expert and am still reading thru the article, but why is it such a strong dichotomy? Don't all predictive algorithm also assume a data model? for example aren't hidden Markov models, by assuming constant transition probability make a data assumption?

To my ears (eyes?), this discussion resembles the transition from linear, euclidean geometry into the fractal realm.