Semi-supervised learning: Revision history

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8 November 2023

  • curprev 02:1302:13, 8 November 2023‎ Ai talk contribs‎ 6,411 bytes +6,411‎ Created page with "== Introduction == Semi-supervised learning is a machine learning paradigm that uses a combination of labeled and unlabeled data for training. This approach is situated between supervised learning (where all data is labeled) and unsupervised learning (where all data is unlabeled). The main advantage of semi-supervised learning is its ability to leverage a large amount of unlabeled data together with a smaller amount..."
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