Supervised / Unsupervised Learning

AI & Data Science

Machine-learning approaches that train on labelled data (supervised) or find structure in unlabelled data (unsupervised).

Supervised / Unsupervised Learning is machine-learning approaches that train on labelled data (supervised) or find structure in unlabelled data (unsupervised).

Related Terms
Machine Learning (ML)
A subset of AI in which systems learn patterns from data and improve at a task without being explicitly programmed.
Reinforcement Learning
A machine-learning approach in which an agent learns by trial and error through rewards and penalties.
Model (AI/ML)
A trained system that maps inputs to outputs based on patterns learned from data.
7AI
Edwisely's Student Intelligence Model that analyses each learner across seven dimensions, far beyond a single grade, to build a living knowledge map that powers personalised learning paths and an early-warning system for intervention.
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The ability to understand, use and critically evaluate AI tools and their outputs.