Meaning of Semi-Supervised Learning

Simple definition

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

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

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

It allows models to be trained with fewer labeled data, saving time and resources.

When labeled data is scarce but unlabeled data is plentiful, such as in medical imaging.

It uses some labeled data, while unsupervised learning uses only unlabeled data.

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