Batch learning
Batch learning is a machine learning paradigm where the model is trained on a fixed dataset in a single iteration. It contrasts with online learning, where models are updated continuously.
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Batch learning is a machine learning paradigm where the model is trained on a fixed dataset in a single iteration. It contrasts with online learning, where models are updated continuously.