Question: How does 'gradient descent' optimize a machine learning model? It iteratively modifies parameters to minimize the cost function. It enhances the separation between classes in

How does 'gradient descent' optimize a machine learning model?
It iteratively modifies parameters to minimize the cost function.
It enhances the separation between classes in the dataset.
It chooses the most critical features for model training.
It identifies the best hyperparameters for the model.
How does 'gradient descent' optimize a machine learning model? It iteratively

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