by Michele Laurelli
A supervised learning task where the goal is to predict discrete class labels for input data.
Classification assigns inputs to predefined categories. Binary classification has two classes, multi-class has more. Output is typically a probability distribution over classes.
Email spam vs not spam
Image classification (cat, dog, bird)
Disease diagnosis