AI glossary · Machine learning
Unsupervised learning
Unsupervised learning finds patterns and groups in data that has no labels, such as discovering types of customers from their shopping habits.
In more detail
Nobody tells the model what the right answer is. Instead it looks for structure on its own, such as which items tend to appear together or which records are unusual.
Common techniques include clustering and dimensionality reduction. It is useful for exploring data and spotting anomalies like fraud.
Related terms
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.Dimensionality reductionDimensionality reduction simplifies data with many features into fewer, while keeping the most important information, so it is easier to analyse or visualise.Self-supervised learningSelf-supervised learning is when an AI model creates its own practice questions from raw data, like hiding a word in a sentence and learning to predict it.
Browse related tools
AI tools listed on BroUseAI in these categories.