Artificial Intelligence
Machine learning
An approach to AI in which computer systems learn relationships from example data to make predictions or generate content.
Simple example
A system is shown examples of emails labelled as spam or normal messages. It learns relationships in those examples to estimate whether a new email is spam. This is a simplified example of one learning method.
Why does it matter?
It can help with tasks where writing a separate rule for every possible case would be difficult. Learning does not mean gaining human consciousness or simply finding and copying every example from an archive. The system learns mathematical relationships that can be wrong in new situations. Its performance should be checked on examples it has not seen, not only those used for learning. The quality and representativeness of the data affect the result. Machine learning is one approach within AI; many generative AI systems use it.