Feature scaling can be used to simplify gradient descent for multivariate linear regression.

Feature scaling can be used to simplify gradient descent for multivariate linear regression. Correct Answer True

There are multiple features in multivariate linear regression and all of them have different ranges. This increases the complexity of gradient descent. So, feature scaling is used to make the ranges of each feature similar.
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