Regularization techniques like Ridge and Lasso can indirectly perform feature selection by assigning a _______ coefficient to irrelevant features.

Regularization techniques like Ridge and Lasso can indirectly perform feature selection by assigning a zero coefficient to irrelevant features. This is achieved by adding a penalty term to the loss function that encourages smaller or zero coefficients, effectively removing the irrelevant features from the model.