Compare supervised learning with unsupervised learning. Explain about the reinforcement learning.

Machine learning types by feedback available.

Basis	Supervised	Unsupervised
Data	Labelled (input + correct answer)	Unlabelled (only inputs)
Goal	Predict/classify new data	Find hidden groups/patterns
Example	Spam filter trained on "spam/not-spam" mails; marks prediction	Customer grouping; crime-hotspot clustering

Reinforcement Learning: Agent learns by trial-and-error with rewards/penalties in an environment — like training a dog. Example: traffic-signal AI tries timings, gets reward for shorter queues, penalty for jams, and gradually learns optimal control. Used in robotics, games and patrol-route optimization. No labelled answers, only reward signal.