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Related Questions
- What are some common pitfalls in feature engineering when adapting a pre-trained model to a new domain?
- How can feature engineering affect the performance of a pre-trained model in a new domain?
- What are some strategies for selecting relevant features for a new domain when adapting a pre-trained model?
- Can you explain the concept of 'domain shift' and how it relates to feature engineering for pre-trained models?
- What role does data quality play in feature engineering for adapting a pre-trained model to a new domain?
- How can feature engineering help to mitigate the problem of 'concept drift' in pre-trained models?
- What are some techniques for feature selection and extraction that are particularly useful for adapting pre-trained models to new domains?
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