What is unsupervised learning in AI?
a) Learning from data without labels
b) Learning from labeled data
c) Learning from reinforcement signals
d) Learning from predefined rules
Answer:
a) Learning from data without labels
Explanation:
Unsupervised learning is a type of machine learning where the model learns from data that does not have labeled outputs. The goal is to find hidden patterns or structures in the data.
Common techniques used in unsupervised learning include clustering (e.g., k-means) and dimensionality reduction (e.g., principal component analysis). These methods help the model discover relationships in the data without explicit supervision.
Unsupervised learning is useful in tasks such as customer segmentation, anomaly detection, and exploratory data analysis where labeled data may not be available.