I spent a lot of energy and time studying applied ML in university. After competing in several contests I realized in most cases a simple linear equation threw

I spent a lot of energy and time studying applied ML in university. After competing in several contests I realized in most cases a simple linear equation threw shade on the whole carnival. Don't get me wrong there are amazing applications for ML, image recognition, simulated physics, the list goes on. But most of the commercial applications I've seen render a ML model wholly unnecessary. You don't need a heavy handed big data machine learning model to figure out, "people who bought also bought", nor does a crime prediction system need to be more complicated than, "where the cops and poor people were last year". FFS a national convenience store contracted one of our classes to do analysis on 10 years of data and the shocking conclusion most groups arrived at was, "people smoke a lot of cigarettes and drink a lot of beer". A revelation. Maybe if it were required curriculum people would realize you don't need to a hire a warlock to do basic statistics...