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    Data Science & Analytics Q&A's are automatically generated daily after 12:00 AM through our proprietary AI-assisted system. Just like humans, AI sometimes revisits similar questions — because new data or insights can lead to different answers. Purchase tags to help expand and support the Q&A Network.

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    How do you measure the drift between training and real-world data?

    Asked on Friday, Oct 31, 2025

    Measuring data drift between training and real-world data is crucial for maintaining model performance and reliability. Data drift can be quantified using statistical tests, distribution comparisons, …

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    What’s the best method for selecting features for linear regression?

    Asked on Thursday, Oct 30, 2025

    Feature selection for linear regression is crucial for improving model performance and interpretability. The best methods include using statistical techniques, regularization methods, and automated se…

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    When should you retrain a production machine learning model?

    Asked on Wednesday, Oct 29, 2025

    Retraining a production machine learning model is essential to maintain its performance and relevance as the underlying data distribution or business requirements change. This process is typically gui…

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    How can you reduce the cost of ML training workloads in the cloud?

    Asked on Tuesday, Oct 28, 2025

    Reducing the cost of ML training workloads in the cloud involves optimizing resource utilization, selecting appropriate services, and leveraging cost-effective strategies. This can be achieved by usin…

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