as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
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explain why data augmentation is important in machine learning.
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data augmentation is important in machine learning as it helps to reduce overfitting by increasing the size of the dataset and enriching its features. it also helps to improve the accuracy of the model by providing more relevant data for the model to learn from. by generating new data from the original data, data augmentation also helps to reduce bias in the dataset.
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