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Related Questions
- What are some common techniques used for data augmentation in machine learning?
- How does data augmentation impact model accuracy and generalizability?
- Can you provide examples of data augmentation techniques for images and text data?
- What are some potential risks or limitations of using data augmentation?
- How does data augmentation relate to other techniques for improving model explainability, such as feature importance and saliency maps?
- Can you explain the role of data augmentation in ensemble methods and model interpretability?
- What are some best practices for selecting and implementing data augmentation techniques in a machine learning pipeline?
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