Semi-supervised learning is a combination of supervised and unsupervised learning. In this approach, the algorithm is trained with some labeled and some unlabeled data to make predictions.
Semi-supervised learning is a combination of supervised and unsupervised learning. In this approach, the algorithm is trained with some labeled and some unlabeled data to make predictions.