Semi-supervised Learning

Semi-supervised learning is an approach to machine learning that combines a small amount of labeled data with a large amount of unlabeled data during training. Semi-supervised learning falls between [unsupervised-learning] (with no labeled training data) and [supervised-learning] (with only labeled training data).

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