What is Unsupervised Learning?
Unsupervised learning is a type of machine learning that looks for previously undetected patterns in a dataset with no pre-existing labels.
Key Techniques
- Clustering: Groups data points that are naturally similar.
- Dimensionality Reduction: Reduces the number of variables under consideration.
Applications
Common applications include customer segmentation in marketing, anomaly detection in fraud detection, and organizing computing clusters.
🐸 Froge Fun Fact!
Did you know? The froge can adapt to its environment much like algorithms improve through unsupervised learning!