A training process adjusts model parameters against an objective using examples or feedback. The learned model is then evaluated on new data to determine whether those patterns generalize.
Machine learning is a branch of AI in which systems learn patterns from data to make predictions or decisions.
A training process adjusts model parameters against an objective using examples or feedback. The learned model is then evaluated on new data to determine whether those patterns generalize.