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Related Questions
- What are the common pitfalls of data augmentation that can lead to biased models?
- How does data augmentation impact the generalizability of machine learning models?
- Can you explain the concept of 'over-augmentation' and its consequences on model performance?
- What are some techniques to evaluate the effectiveness of data augmentation in preserving data distribution?
- How can data augmentation be used to address class imbalance in datasets?
- What are the differences between data augmentation and data synthesis, and when to use each?
- Can you discuss the role of data augmentation in transfer learning and domain adaptation?
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