Detailed explanation
The model learns a function mapping inputs to labels. It is the most common approach for classification (spam vs non-spam) and regression (predicting a price). Its quality depends on label volume and quality.
Examples
Dog / cat image classification
Fraud detection
Real estate price prediction
Frequently asked questions
Do I need lots of labeled data?
Yes, that is the main cost. Semi-supervised techniques or transfer learning reduce the need.
Related terms
Machine Learning
A branch of AI where models learn patterns from data instead of following explicit rules.
Dataset
A structured collection of data used to train, validate or evaluate an AI model.
Reinforcement Learning
A learning method where an agent learns to act by trial and error, maximizing a reward.
Unsupervised Learning
Learning from unlabeled data, where the model discovers structures by itself.
Last updated: 7/15/2026