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Related Questions
- How does synthetic data help to reduce overfitting in machine learning models?
- What are some common techniques used to generate synthetic data for machine learning model augmentation?
- Can you explain the concept of data augmentation versus data synthesis, and how they are used in machine learning?
- What are some best practices for selecting the right type of synthetic data for a specific machine learning model?
- How can synthetic data be used to improve the robustness of a machine learning model to out-of-distribution data?
- What are some challenges associated with using synthetic data, and how can they be addressed?
- Can synthetic data be used to augment datasets that are biased or imbalanced, and if so, how?
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