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Question

Data Scarcity - Does data augmentation really work?

Answer

Indeed, data augmentation is a highly effective method for enhancing the performance and results of machine learning models. It achieves this by generating varied examples to enrich training datasets. The richer and more diverse the dataset, the better and more precise the machine learning model's performance tends to be.