Machine learning (ML)
머신러닝(기계 학습)
A method where a computer finds the rules by itself from data, without a person writing each rule.
Overview
In the past, a person wrote the rules one by one, such as "if it contains these words, it is spam." With machine learning, you show the computer tens of thousands of spam and normal emails, and it finds the rule that separates them. The more good data you show, the better it gets.
Machine learning sits inside the big umbrella of artificial intelligence, and inside it is deep learning, which stacks neural networks deep. Almost all the AI that gets attention today is built with machine learning. But when it meets a situation that was not in its data, it can give strange answers.
An everyday example
It is like showing a child many cat photos instead of explaining "cats have pointy ears and whiskers and..." Before long, the child can recognize cats.
Why it matters
It is inside services all around us, from recommendations and translation to photo search and spotting suspicious payments. This is what "AI learns from data" means, so it is the base for understanding AI news.
Also calledML