Machine Learning
Supervised Learning
A type of machine learning where the model learns from labeled data.
Expanded definition
Supervised learning is a category of machine learning in which an algorithm is trained on a labeled dataset, meaning that each training example is paired with an output label. The goal is for the model to learn a mapping from inputs to outputs so that it can predict the labels of new, unseen data. Common applications include classification and regression tasks.
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