Understanding How Machine Learning Works [without math] – Combine Time Tracking with Business Intelligence- Allocable

Most executives I talk to still think of machine learning as some kind of robot-ruled world like Skynet out of the Terminator movies. While machine learning can certainly get advanced, it is quite the opposite of the antagonistic artificial intelligence (AI) network that seeks to destroy the world in the Schwarzenegger series. Andrew Ng, a foremost mind in the AI field, explains artificial intelligence well when he states that "some input data (A) is used to quickly generate some simple response (B)." It is important to understand that artificial intelligence and machine learning are two different things, although the two terms are often used interchangeably. AI is when we program machines to carry out tasks in ways we consider intelligent.