Machine Learning
batch-learning
A learning method where the model is trained on a fixed dataset in one go.
Expanded definition
Batch learning involves training a machine learning model on the entire dataset at once rather than incrementally. This approach is efficient for scenarios where the dataset is stable and can be processed in bulk. However, it can be less adaptable to new data and is often contrasted with online learning techniques.
Related terms
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