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SVM (margin intuition, kernel trick)
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777.
The Kernel Trick
easy
What does the kernel trick enable in SVM?
A
It approximates the optimal margin hyperplane using a random projection of the input features
B
It computes dot products in a high-dimensional feature space without explicitly transforming the data
C
It reduces the dimensionality of the feature space to make the optimization problem computationally tractable
D
It replaces the SVM's linear decision boundary with a nonlinear activation function during training
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