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Machine Learning Data Augmentation
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What is the primary goal of data augmentation in machine learning?
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A
To enhance the generalization ability of the model
💡 Explanation:
Data augmentation aims to create new training samples from existing ones, thereby increasing the diversity of the training data and helping the model learn more generalizable patterns.