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    How do you avoid training models on stale or outdated data?

    Asked on Monday, Nov 17, 2025

    To avoid training models on stale or outdated data, it's crucial to implement a robust data validation and monitoring process that ensures the data's freshness and relevance. This involves regularly u…

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    What’s the difference between data preprocessing and data wrangling?

    Asked on Sunday, Nov 16, 2025

    Data preprocessing and data wrangling are both crucial steps in preparing raw data for analysis, but they serve distinct purposes. Data preprocessing involves cleaning and transforming raw data into a…

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    How do you choose between PCA and t-SNE for visualizing high-dimensional data?

    Asked on Saturday, Nov 15, 2025

    Choosing between PCA and t-SNE for visualizing high-dimensional data depends on your specific goals and the nature of your dataset. PCA is a linear dimensionality reduction technique that preserves gl…

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    What’s the right way to use embeddings for recommendation systems?

    Asked on Friday, Nov 14, 2025

    Embeddings are a powerful tool in recommendation systems as they allow for the representation of items and users in a continuous vector space, capturing complex relationships and similarities. They ar…

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