Basically it’s when you take some kind of data set, say a bunch of pictures of faces and the emotion that the person in the picture is conveying, and feed that into a computer. The computer creates a math equation that takes different parts of the picture as variables, and tries to solve for constants that make that equation give the result it already knows it’s supposed to get.
It’s kind of like when you give Excel some points on a graph and ask it to come up with a curve to fit, except with a lot more points and in a lot of dimensions. There’s a lot of different ways to do the exact math behind that, though the common way for machine learning is to make a big array of linear equations.
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