Meaning of Semi-Supervised Learning

Simple definition

A type of machine learning that uses both labeled and unlabeled data, typically with more unlabeled data.

How to use Semi-Supervised Learning in a professional context

Used in image recognition when labeling data is expensive, but unlabeled data is abundant.

Concrete example of Semi-Supervised Learning

A company trains a model to classify product images using a small number of labeled images and many unlabeled ones.