GLOSSARY TERM
What is Data Augmentation?
Techniques used to artificially increase the size of a training dataset.
Data augmentation applies synthetic modifications, such as rotations, noise injection, or semantic substitutions, to existing data. This introduces variance, prevents overfitting, and improves model generalization on unseen inputs.
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