Machine learning (ML)
Algorithms that generalize patterns from data to make predictions or decisions without hand-written rules for every case.
Machine learning (ML) covers methods where a model’s behavior is shaped by training data: examples, targets, rewards, not purely via explicit rule trees (symbolic AI).
Historical strands include supervised learning with labeled examples, reinforcement learning rewards, clustering, and from the 2000s onward large-scale deep learning with neural networks.