Support vector machine

A support vector machine is like a super strong magnifying glass. It looks at data really closely and finds patterns in it. For example, if you were trying to tell the difference between two kinds of fruit, you could use a support vector machine to compare thousands of different pieces of data (like color, shape, size, and texture) in order to figure out which pieces of data make one type of fruit different from the other. The support vector machine then uses the patterns it finds to decide which type of fruit it is looking at.