Question: Gradient descent is an optimization algorithm used to minimize the error of a machine learning model by updating the model's parameters in the direction of

Gradient descent is an optimization algorithm used to minimize the error of a machine learning model by updating the model's parameters in the direction of the negative gradient of the cost function, which measures the difference between the predicted output of the model and the true output

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