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    XGBoost is a popular supervised machine learning algorithm among data scientists and may be the new wave of modeling credit risk at banks and credit unions. This Darling Consulting Group article, authored by Hannah Glasrud and Chase Ogden, explains the basics of the mechanics behind the algorithm.

    XGBoost is a popular supervised machine learning algorithm among data scientists and may be the new wave of modeling credit risk at banks and credit unions. This Darling Consulting Group article, authored by Hannah Glasrud and Chase Ogden, explains the basics of the mechanics behind the algorithm.

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    Ncontracts, posted a resource
    PostedMonday, July 7, 2025 at 9:45 AM
    https://www.ncontracts.com/webinars/compliance-updates?utm_campaign=202411%20-%20ICBA%20Page%20Content%20Assets&utm_source=ICBA%20Partner%20Page
    The first half of 2025 brought rapid changes to the regulatory landscape โ€” and those changes are reshaping compliance priorities for the rest of the year.

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