Machine Learning & Training

What Is Semi-Supervised Learning?

Semi-supervised learning is an approach that uses a small quantity of labeled data alongside a larger amount of unlabeled data. It aims to improve learning when labels are scarce or expensive to obtain. By leveraging structure in the unlabeled data, models can often achieve better performance than with labels alone.