This article describes the types of Machine Learning problems that the AI & Analytics Engine can tackle.
Classification (supervised learning)
Given an observation, predict which category it belongs to, from a set of categories.
Binary classification -- Is an email spam or not (yes/no)?
Multi-class classification -- Which genre does a movie belong to?
Regression (supervised learning)
Given an observation, predict a numeric outcome.
- Predict the price of a house
- Predict the duration of a taxi trip
For a detailed comparison between classification and regression, read difference between classification and regression.
Clustering (unsupervised learning)
Partition data in the way that similar entities are grouped into the same cluster.
Segment customers into groups of similar characteristics to target
Group items in a search engine and show similar results for a query
To learn more about typical methods and applications of clustering, read 5 clustering methods and applications.