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Related Questions
- What are the common pitfalls of data curation that can lead to model bias?
- How does data quality affect the fairness of a machine learning model?
- Can you explain the concept of representation bias and how data curation can mitigate it?
- What role does data preprocessing play in reducing model bias and improving fairness?
- How can data curation be used to address concept drift in machine learning models?
- What are some best practices for ensuring data curation leads to fair and unbiased machine learning models?
- Can you provide examples of how poor data curation has led to biased models in real-world applications?
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