Which regularization technique adds a penalty equal to the absolute value of the magnitude of coefficients? in machine Learning?
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Answer: A) L1 Regularization
Explanation: L1 Regularization (also known as Lasso) adds a penalty equal to the absolute value of the magnitude of coefficients, encouraging sparsity in the model.
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