# What is Supervised Learning? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Foundational AI  
> **Canonical Citation:** [https://spidits.com/ai-glossary/supervised-learning](https://spidits.com/ai-glossary/supervised-learning)

## Definition
Supervised Learning is the most common machine learning category, where a model is trained on a labeled dataset. This means each training input is paired with its correct output label, allowing the model to learn mapping relationships.

## Architectural Mechanics & Deep Dive
Supervised learning is a machine learning paradigm where models are trained on labeled datasets containing pairs of inputs and corresponding ground-truth targets. The algorithm learns a mapping function from inputs to outputs, adjusting weights to minimize prediction errors, widely used in classification.

## Industry Applications & Real-World Use Cases
Image classification, email spam detection, and house price prediction

## Frequently Asked Questions

### What are the two main types of supervised learning tasks?
Classification (predicting a category label) and Regression (predicting a continuous numerical value).

### What is a label in supervised learning?
The target outcome or correct answer associated with a training example.

## Related Terminology
- [unsupervised-learning](https://spidits.com/ai-glossary/unsupervised-learning)
- [machine-learning](https://spidits.com/ai-glossary/machine-learning)
- [loss-function](https://spidits.com/ai-glossary/loss-function)

---
*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*