Unlabeled data refers to data that has not been tagged with labels or annotations, meaning it lacks explicit instructions on what the model should predict. In machine learning, such data is used in unsupervised learning scenarios.
Utilizing Unlabeled Data
Unlabeled data is valuable for tasks that require the discovery of inherent patterns or structures within the data, such as clustering or dimensionality reduction. It is also used in semi-supervised learning, where both labeled and unlabeled data are utilized to improve learning efficiency and accuracy.
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