Machine Learning
Semi-Supervised Learning
Machine Learning· Intermediate
Definition
A machine learning paradigm that trains on a combination of a small amount of labeled data and a large amount of unlabeled data. Bridges the gap between supervised and unsupervised learning, dramatically reducing the labeling burden while retaining accuracy benefits.
Enterprise Context
Valuable in enterprise settings where labeling is expensive — medical imaging, legal document classification, and customer support ticket categorization.
Tags
#training#data-efficiency#learning
MS
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