juniorSupervised Learning
What is Supervised Learning?
Updated May 17, 2026
Short answer
Supervised learning is a machine learning approach where models learn from labeled data to make predictions.
Deep explanation
Supervised learning involves training a model on input-output pairs. The algorithm learns a mapping function from features (X) to labels (Y). The goal is to minimize prediction error using loss functions like MSE or cross-entropy.
Real-world example
Predicting house prices based on features like size, location, and number of rooms.
Common mistakes
- Confusing supervised learning with unsupervised learning.
Follow-up questions
- What are labeled datasets?
- What are common supervised algorithms?