I never knew any of this before :Machine learning relies on pre-labeled data and algorithms to make predictions or decisions, and it is well-suited for a wide range of tasks involving smaller amounts of data or relatively simple relationships. Deep learning, on the other hand, uses artificial neural networks to learn and make decisions based on patterns and relationships in data, and it excels at tasks that involve large amounts of data and complex relationships.