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Related Questions
- How can synthetic data be used to improve the diversity of a dataset that is skewed towards a particular demographic?
- Can synthetic data be used to generate new samples that are representative of the underlying distribution of the original dataset?
- What methods can be used to ensure that synthetic data is not perpetuating existing biases in the original dataset?
- How can synthetic data be used to augment datasets with missing values or outliers?
- Are there any specific techniques for generating synthetic data that is more likely to improve the performance of machine learning models?
- Can synthetic data be used to increase the size of a dataset without compromising the quality of the data?
- What are some potential pitfalls to consider when using synthetic data to augment an existing dataset?
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