unsupervised-learning

Vocabulary Word

Definition

Unsupervised learning is a subset of machine learning. It allows an algorithm to explore data and find patterns, all on its own. It's like letting a dog explore the park by itself and seeing where it goes.

Examples in Different Contexts

In machine learning, unsupervised learning involves training algorithms on data without predefined labels, allowing the model to identify patterns and relationships on its own. A data scientist might say, 'Unsupervised learning is used for clustering and dimensionality reduction to discover underlying structures in the data.'

Practice Scenarios

Business

Scenario:

I've just found some interesting patterns in customer behavior. It seems like we might need to reassess our marketing strategy.

Response:

Perhaps implementing unsupervised learning to further explore this data could bring us some interesting insights.

Tech

Scenario:

Our cybersecurity system picked up some unusual activity. Looks like it could be a new threat vector that our current answers might not cover.

Response:

Applying unsupervised learning algorithms might help us detect and understand this unusual activity.