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How does the size of the input data affect the time complexity of training an SVM? How is the time complexity for SVM inference calculated? Can you explain the effect of different kernels on the time complexity of SVMs?
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Interview question asked to Data Scientists interviewing at Red Hat, DigitalOcean, Optimizely and others: How does the size of the input data affect the time complexity of training an SVM? How is the time complexity for SVM inference calculated? Can you explain the effect of different kernels on the time complexity of SVMs?.