AI Anyone Can Understand: Part 10 — Naive Bayes

Author(s): Andrew Austin

Originally published on Towards AI.

Spam Detection

This member-only story is on us. Upgrade to access all of Medium.

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.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI