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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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    When is it better to use gradient boosting instead of neural networks?

    Asked on Tuesday, Oct 14, 2025

    Gradient boosting is often preferred over neural networks when dealing with structured tabular data, where it can efficiently capture interactions between features and handle missing values. It is als…

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    What’s the difference between batch inference and streaming analytics?

    Asked on Monday, Oct 13, 2025

    Batch inference and streaming analytics are two distinct approaches to processing and analyzing data in machine learning and data science. Batch inference involves processing large volumes of data at …

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    How do data scientists detect concept drift in production models?

    Asked on Sunday, Oct 12, 2025

    Detecting concept drift in production models is crucial to maintaining model accuracy and reliability over time. Concept drift occurs when the statistical properties of the target variable change, lea…

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    When should you use dimensionality reduction before clustering?

    Asked on Saturday, Oct 11, 2025

    Dimensionality reduction is often used before clustering to enhance performance and interpretability by reducing noise and computational complexity. Techniques like PCA or t-SNE can help in projecting…

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