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Support-Vector Machines - When would you use a support vector machine?
Answer
In machine learning, the Support Vector Machine (SVM) is commonly used for data classification. For this purpose, it finds the best decision boundary that adequately divides the classes. For effective classification in complex, non-linear scenarios, the SVM searches for the optimal hyperplane that optimizes the margin between support vectors.
