Explaining AI: Machine Learning vs. Deep Learning - Magnetic

I've read more than my fair share of articles about all-things AI, including ones on machine learning and deep learning, and two things are clear: (1) my brain is about to short-circuit faster than a vintage robot, and (2) more often than not, the media uses these terms interchangeably even though they're not the same thing. First of all: know that machine learning and deep learning are related and that both fall under the AI umbrella. Think of the three as concentric circles: deep learning is a type of machine learning, machine learning is part of AI, and AI encompasses the entire field of study. In a nutshell, machine learning is an automated process that uses data and math (algorithms) to uncover ("learn") new information without human intervention. Because the machine continuously "self-learns" (or "self-trains"), humans don't need to write code for each process along the way (huge time saver!).