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When solving problems, what are the primary distinctions between neural networks and support vector machines? What sorts of challenges do they both excel at?
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Interview question asked to Data Scientists interviewing at Convoy, Google, Zendesk and others: When solving problems, what are the primary distinctions between neural networks and support vector machines? What sorts of challenges do they both excel at?.