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Support Vector Machines - When would you use a support vector machine?
Answer
Machine learning's support vector machines (SVMs) find the best decision boundaries for classifying data by dividing it into different groups. Its goal is to find the best hyperplane for effective classification in complicated non-linear circumstances by widening the gap between support vectors.
