What is Data Augmentation and How is it Used in Machine Learning?
Why it matters: Data augmentation involves creating new data by modifying existing samples, enhancing model training robustness and accuracy.
Why it matters: Data augmentation involves creating new data by modifying existing samples, enhancing model training robustness and accuracy.
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