The problem with explaining machine learning is that it's not only complex, but it goes against the way that people normally think. Humans generally aren't buil

The problem with explaining machine learning is that it's not only complex, but it goes against the way that people normally think. Humans generally aren't built for making statistical calculations and going with highest probable outcomes. People are wired to understand narratives and compelling stories. To explain machine learning, you have to bridge a conceptual gap while also discussing a very technical idea. Personally, I think that the benefits of a product should be so evident that people don't care if machine learning was used or not. The pitch shouldn't be "This aggregator is awesome because of machine learning", but "This aggregrator is awesome (oh and we used machine learning)"