Data augmentation: Revision history

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19 March 2023

  • curprev 06:2206:22, 19 March 2023‎ Walle talk contribs‎ 3,821 bytes +3,821‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, ''data augmentation'' refers to the process of expanding the size and diversity of a training dataset by applying various transformations and manipulations. The primary goal of data augmentation is to improve the generalization capabilities of machine learning models, thus enhancing their performance on unseen data. This article delves into the principles, techniques, and applicati..."
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