What are some examples of semi-supervised learning?
Tuesday, 27 February 2024
by Patricia Manuelita Izquierdo Sarmiento
Semi-supervised learning is a machine learning paradigm that falls between supervised learning (where all data is labeled) and unsupervised learning (where no data is labeled). In semi-supervised learning, the algorithm learns from a combination of a small amount of labeled data and a large amount of unlabeled data. This approach is particularly useful when obtaining