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What is semi-supervised Machine Learning?
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Answer / Ankit Dham
Semi-supervised learning is a machine learning approach that combines labeled and unlabeled data for model training. This method is useful when acquiring labeled data is costly or time-consuming, as it can learn from a smaller amount of labeled data by leveraging the structure in the unlabeled data.
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