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SVM uses Gradient descent (GD) to minimize its margin instead of using a Lagrange.

SVM uses Gradient descent (GD) to minimize its margin instead of using a Lagrange. Correct Answer False

SVM do not use gradient descent to minimize its margin instead of using a Lagrange but both are used for different purposes. GD minimizes an unconstrained optimization problem and Lagrange multipliers used to convert a constrained optimization problem into an unconstrained problem.

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