Machine learning is a subfield of artificial intelligence in which computer systems learn from data.
Instead of relying on fixed rules programmed by humans, algorithms are trained using large datasets. During this training process, they identify patterns, relationships, and statistical structures within the data.
Once trained, the system can apply this learned knowledge to new data in order to make predictions or classifications.
Machine learning is widely used in many modern technologies. Examples include search engines, recommendation systems, speech recognition, and medical diagnostics.
The performance of machine learning systems strongly depends on the quality and quantity of the training data.