What is Data Augmentation | Stanford HAI
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What is Data Augmentation

Data Augmentation is a technique to artificially expand a training dataset by creating modified versions of existing data without collecting anything new. As an example, you might adjust the color of images or add background noise to audio clips to create new variations. 

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Data Augmentation mentioned at Stanford HAI

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