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What's the “kernel trick” and how is it useful?
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Answer / Vinod Rai
The kernel trick is a technique used in Support Vector Machines (SVM) to transform high-dimensional, non-linearly separable data into a higher dimensional space where separation becomes possible through the use of a linear classifier. By using kernels such as Gaussian or polynomial kernels, SVMs can effectively handle complex patterns and relationships in the data.
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