Artificial Intelligence vs. Machine Learning: Battle of the Minds

Let's start with definitions as they relate to big data: Artificial Intelligence: AI's goal is to understand neural function and imitate that ability of the brain to learn from a given set of circumstances. The brain is basically, in many cases, a Rube Goldberg machine. We have this limited set of evolutionary building blocks that we are able to use to get to a complex end state. Back in the 1980s, AI was a popular field among scientists: how experts do what they do, and how to reduce those tasks to a set of rules and program computers with those rules, effectively replacing the experts. Researchers wanted to teach computers to diagnose disease, translate languages, to even figure out what we wanted but didn't know ourselves.