Introduction to Semi-Supervised Learning
Towards Data Science
EDITOR BRIEF
This primer explains semi-supervised learning, a machine learning approach that uses both labeled and unlabeled data. It also covers common algorithm approaches and the limits of relying on unlabeled data.
INSIGHTS
This matters because many real-world datasets are only partly labeled. A good next step is to compare semi-supervised methods with fully supervised learning on a small dataset.
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