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What is Understanding Support Vector Machines about?

Support Vector Machines (SVM) is a supervised learning technique used for classification, regression, and outlier detection, effective in high-dimensional spaces. SVMs create a hyperplane that maximizes the margin between different classes, utilizing support vectors for decision-making. The method can employ hard or soft margins depending on the data

Author

trijitrana9878

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EN