# Supervised Learning

> Source: https://sukruyusufkaya.com/en/glossary/denetimli-ogrenme
> Updated: 2026-05-13T21:08:44.854Z
> Type: glossary
> Category: yapay-zeka-temelleri
**TLDR:** A core learning paradigm in which the relationship between inputs and target outputs is learned from labeled examples.

<p>Supervised learning is one of the most fundamental working modes in AI and machine learning. In this setup, the model is trained using input data together with the correct answers, meaning the system is explicitly shown what is right. The goal is to learn these relationships well enough to make accurate predictions on new unseen data. Classification and regression are the most common examples. However, success in supervised learning is not determined by algorithm choice alone; label quality, data balance, sample diversity, and evaluation design directly affect the final outcome. In practice, good labeled data often matters as much as, or even more than, the model itself.</p>