Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== Semi-supervised learning is a type of machine learning approach that combines elements of both supervised and unsupervised learning methods. It leverages a small amount of labeled data along with a larger volume of unlabeled data to train models. This article will provide an overview of semi-supervised learning, discuss its advantages and challenges, and present commonly used techniques. ==Motivation and Advantage..."
