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Alex Rivera
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The kernel trick maps a non-linear problem into a linear problem. My questions are: 1. What is the main difference between a linear and a non-linear problem? What is the intuition behind the difference of these two classes of problem? And How does kernel trick helps use the linear classifiers on a non-linear problem? 2. Why is the dot product so important in the two cases? Thanks.
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