Computer systems that update their algorithms based on datasets/data sources fed to them to become more accurate over time, such as image recognition tools that become more accurate the more images they analyze. Machine learning is usually paired with human correction to avoid false conclusions through both ‘supervised’ and ‘unsupervised’ strategies.
“Self-driving cars use many forms of machine learning to update their ‘awareness’ of the road conditions around them, driver preferences, and traffic patterns.”
