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Sometimes we do not require the mapped feature vectors after scalar is computed. We can compute scalar without using the dot product of mapped vectors using the kernel trick. A kernel is a function that, given the original feature vectors, returns the same value as the dot product of its corresponding mapped feature vectors.
• Look at the kernel formula
• Work with an example with values for feature vectors

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