As a data scientist at an AI company, my colleagues and I are as tired of the hyperbole and conflicting information in the space as you are, friend. It seems like everyone's got their own definition for the AI buzzword du jour, and it's leading to a lot of contradictions and confusion--and that's not helpful for anyone. There have been a few noble attempts from academics, tech journalists, other AI companies, and fellow data scientists at simplifying industry concepts and laying some groundwork on key terms for us all to agree on. But I've found them either still too marketing-y or so rambling they leave your head spinning. Below are my fluff-free explanations of popular AI terms.
Sep-21-2017, 04:35:34 GMT