AI GLOSSARY

Supervised Learning

Supervised learning is a type of machine learning where a model is trained using labelled data, meaning each input comes with a corresponding output. The model learns to map inputs to outputs by finding patterns in the training data, allowing it to make predictions for new, unseen data. This approach is commonly used in tasks such as classification and regression where accurate examples are available for model training.

All Terms
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Continue learning...

View Resources

13 min read
Defence and National Security AI Strategies - The Global Landscape
The Ukraine-Russia war has clearly demonstrated AI’s effectiveness on the battlefield. Across the globe, countries are devising strategies to...
5 min read
Digital Custodians for Ageing Infrastructure
The UK spends £1.5 billion each year maintaining its 100,000 bridges and structures across the road and rail networks. The average age of these...
7 min read
Bridge Inspections: 5 Challenges Every Asset Manager Faces
Inspections are the primary way we assess a bridge’s condition, but traditional methods have their limitations. AI and Machine Learning offer new...

Stay connected

News, announcements, and blogs about AI in high-stakes applications.