Back to: Supervised vs Unsupervised Learning
0
Machine learning approaches fall into two major categories.
Supervised Learning
Uses labeled data — the correct answer is provided during training.
Examples:
- House price prediction
- Spam detection
Unsupervised Learning
Uses unlabeled data — the model discovers structure on its own.
Examples:
- Customer segmentation
- Clustering similar articles
Understanding the difference is critical when selecting the right modeling approach for a given problem.