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Related Questions
- Can you explain the concept of data augmentation and its role in machine learning model development?
- How does data augmentation help to improve the robustness of a model when dealing with imbalanced datasets?
- What are some common data augmentation techniques used in image classification tasks to address underrepresentation?
- Can data augmentation be used to create synthetic data to supplement a small dataset?
- How does data augmentation impact the performance of a model on out-of-distribution data?
- What are the potential risks and limitations of relying solely on data augmentation to address underrepresentation?
- Can you provide examples of successful applications of data augmentation in addressing underrepresentation in different domains?
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