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Data Augmentation - Is data augmentation used for overfitting?
Answer
Yes, data augmentation is utilized to enhance the performance of machine learning models by mitigating overfitting. Overfitting is a scenario where a model excessively learns from training data and fails to generalize to new data. Data augmentation aids in preventing this by supplying the model with an expanded data set to learn from.
