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Core ML Concepts · intermediate · concept 29 of 311 · Updated Nov 4, 2026

Semi-Supervised Learning

A hybrid approach using a small amount of labeled data with a large amount of unlabeled data. Leverages the structure in unlabeled data to improve learning, practical when labeling is expensive.

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Key terms

Pseudo-labelsSelf-trainingConsistency regularization