To randomly adjust the parameters of the model until it produces accurate predictions.

To find a set of parameters that minimise some loss function, which quantifies the error between the predicted and actual outcomes.

To find a set of parameters that maximize some objective function, which measures the performance of the model based on the task at hand.

To memorize the entire dataset in order to predict future outcomes.