A robot is trained to play a maze game. It tries different paths and learns which ones lead to the goal with the shortest time.

A streaming platform (like Netflix) groups users with similar viewing habits to recommend new shows.

A bank wants to detect fraudulent transactions based on labeled data (fraud or not fraud).

An AI agent is learning to control traffic signals in a city to reduce congestion by observing how traffic responds over time.

A mobile keyboard app groups users’ typing patterns to create personalized word suggestions, without knowing their names or labels.

A model is trained on thousands of labeled chest X-ray images to detect pneumonia.

An AI-based chess player improves by playing millions of games and learning which moves lead to wins or losses.

A marketing team wants to divide their customers into different groups based on spending habits — but they don’t know the categories yet.

You have a dataset of house prices, and you want to build a model to predict price based on size, location, and number of rooms.