Machine Learning (ML)

Machine learning (ML) is a subfield of AI that builds algorithms and statistical models that learn from data to predict, decide, or generate outputs.

Instead of relying on hand-coded rules, ML systems infer statistical relationships from examples and targets. Common paradigms include supervised learning, unsupervised learning, and reinforcement learning, each suited to different problems.

Progress in ML depends heavily on high-quality data, compute resources, and rigorous evaluation. Applications span autonomous driving, medical diagnosis, recommendation systems, natural language processing, and many other domains.