What is unsupervised learning in AI?

What is unsupervised learning in AI?

Unsupervised learning is a type of machine learning where the model learns from unlabeled data, identifying patterns without explicit instructions.

Can you give me some examples of unsupervised learning algorithms?

Sure! Common examples include K-means clustering, hierarchical clustering, and principal component analysis (PCA).

How is it different from supervised learning?

In supervised learning, the model is trained on labeled data, meaning it learns from input-output pairs, while unsupervised learning works with data without labels.

What are some applications of unsupervised learning?

Applications include customer segmentation, anomaly detection, and recommendation systems.