Annotation
Annotation is the process of adding metadata to data. In the context of data science and artificial intelligence, annotation refers to the process of labeling data with additional information to make it more useful for machine learning algorithms. This additional information can include things like categories, tags, or descriptions that help algorithms understand the data better. Annotation is a crucial step in the machine learning pipeline, as it helps to ensure that the algorithms are trained on high-quality data that is relevant to the task at hand. Annotated data is often used to train supervised machine learning models, which can then be used to make predictions or classifications on new, unlabeled data.
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