AI glossary · Machine learning
Classification
Classification is a machine learning task where the model sorts things into categories, such as “spam” or “not spam”, or which animal is in a photo.
In more detail
A classifier learns from labelled examples (supervised learning) and then assigns new items to a category, usually with a confidence score.
It is one of the most common uses of AI, from medical image screening to sorting support tickets.
Example
A photo app labelling each picture as “beach”, “food” or “pets”.
Related terms
RegressionRegression is a machine learning task where the model predicts a number, such as a house price, tomorrow’s temperature or next month’s sales.Supervised learningSupervised learning trains an AI model on examples that come with the right answer, such as photos labelled “cat” or “dog”, so it can label new examples.ClusteringClustering is a machine learning technique that groups similar items together without being told the groups in advance.Sentiment analysisSentiment analysis is AI that works out the feeling behind a piece of text, such as whether a review is positive, negative or neutral.
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