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Support Vector Machines

Support Vector Machines (SVM) are supervised machine learning models used for classification and regression by finding an optimal hyperplane. In enterprise risk management, SVM is applied to credit scoring and fraud detection, enhancing predictive accuracy. Its implementation should align with governance frameworks like the NIST AI Risk Management Framework.

Curated by Winners Consulting Services Co., Ltd.

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