Supervised and Unsupervised Learning

Supervised learning problems

• Predicting credit approval based on historical data.

• Predicting if a new image has cat or dog based on the historical data of other images of cats and dogs, where you are supplied the information about which image is cat or dog.

• Fingerprint recognition of a particular person used in bio metric attendance from the fingerprint data of various other people and that particular person.

• Weather forecast using data collected by a satellite

• Predicting tuberculosis using patient’s chest X-Ray

Learning problems that are not supervised:

• Grouping related documents from an un-annotated corpus.

• Training a humanoid to walk using a reward system (reinforcement learning)

• Clustering Spotify users based on their listening history