Uses datasets containing a small amount of labeled data and a larger amount of unlabeled data to improve learning performance.
#Goal
Same goal as supervised learning but with reduced cost (less labeling), and improved generalization leveraging the structure in unlabeled data to improve model performance.
Selecting the Learning Algorithm