Definition
A machine learning approach that utilizes a large volume of unlabeled data alongside a smaller, labeled dataset to improve training efficiency and model performance.
In short: A machine learning approach that utilizes a large volume of unlabeled data alongside a smaller, labeled dataset to improve training efficiency and model performance.