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Related Questions
- Can you describe a scenario where data curation led to improved model accuracy in image classification?
- How does annotating data with diverse perspectives impact model bias in natural language processing?
- What are some common pitfalls in data curation that can lead to biased models in machine learning?
- How do you ensure that data curation and annotation processes are transparent and reproducible?
- Can you give an example of a real-world project where data curation and annotation significantly improved model performance?
- What role does active learning play in reducing bias and improving model accuracy through data curation?
- Can you explain how data curation and annotation can help mitigate the impact of concept drift on model performance?
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