Core ML Concepts · intermediate · concept 25 of 176
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.
Key terms
Pseudo-labelsSelf-trainingConsistency regularization
Learn these first
Videos
▶ What is Semi-Supervised Learning? ↗
IBM Technology · YouTube
▶ Supervised vs. Unsupervised Learning ↗
IBM Technology · YouTube
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