The category of AI depends on how many choices it has and what data it uses.

AI Categories by Number of Choices

The number of possible choices defines the type of AI problem.

1. Two choices → Binary Classification Example: married or not married

2. More than two choices → Multi-class Classification Example: Dog, Cat or Bird

AI Categories by Data Type

The type of data also defines the AI category.

1. Images → Computer Vision Example: Microscopy Image

2. Numbers in tables → Machine Learning Example: Tax Report