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AI Anyone Can Understand: Part 10 — Naive Bayes
Latest   Machine Learning

AI Anyone Can Understand: Part 10 — Naive Bayes

Last Updated on July 25, 2023 by Editorial Team

Author(s): Andrew Austin

Originally published on Towards AI.

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Naive Bayes is a way for computers to learn how to make predictions based on data. Imagine you are trying to guess what a toy is just by looking at it. You might look at different parts of the toy, like the color, the shape, and the size, and use that information to make a guess. Naive Bayes is a way for the computer to do the same thing. The computer looks at different pieces of information, called “features,” and uses them to make a prediction. It’s a bit… Read the full blog for free on Medium.

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