AI-900 · Question #271
AI-900 Question #271: Real Exam Question with Answer & Explanation
The correct answer is B: clustering. Unsupervised learning is a type of machine learning algorithm where insights are generated from data without any dependent variable. There are several use cases of unsupervised learning. The most popular use case is market segmentation, where you divide the market or customer gro
Question
What is an example of unsupervised machine learning?
Options
- Aclassification
- Bclustering
- Cregression
Explanation
Unsupervised learning is a type of machine learning algorithm where insights are generated from data without any dependent variable. There are several use cases of unsupervised learning. The most popular use case is market segmentation, where you divide the market or customer groups into different clusters. This helps in building targeted marketing strategy. Another application of unsupervised learning is in association mining or building recommendation engines. The most common unsupervised machine learning technique is k-means clustering. Note: K-means clustering is an unsupervised machine learning algorithm that is used to group together similar items based on a similarity metric. The K-Means Clustering module is used in Azure Machine Learning Studio to configure and create a k-means clustering model. machine-learning-studio
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