What is semi-supervised learning in AI?

What is semi-supervised learning in AI?

Semi-supervised learning is a machine learning approach that uses both labeled and unlabeled data for training.

How does it differ from supervised learning?

In supervised learning, only labeled data is used, while semi-supervised learning leverages both labeled and unlabeled data.

What are the benefits of using semi-supervised learning?

It can improve learning accuracy and reduce the need for large amounts of labeled data, which can be expensive to obtain.

Can you give an example of where it's used?

It's commonly used in image classification tasks, where labeling every image can be impractical.