Asked at 1 company1Supervised LearningUnsupervised LearningFeature Engineering
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Problem
Scenario
You are discussing common machine learning approaches and when each is appropriate. You want to explain the distinction clearly in terms of data, objectives, and typical use cases.
Question
Explain the difference between supervised and unsupervised learning.
Example Dataset
size·120K equipment inspection records, 28 featurestarget·Binary failure label for supervised learning, no label for unsupervised learningfeatures·Sensor aggregates, asset metadata, maintenance history, time-based engineered featuresclass_balance·8% positive in supervised setting
Problem
Scenario
You are discussing common machine learning approaches and when each is appropriate. You want to explain the distinction clearly in terms of data, objectives, and typical use cases.
Question
Explain the difference between supervised and unsupervised learning.
Example Dataset
size·120K equipment inspection records, 28 featurestarget·Binary failure label for supervised learning, no label for unsupervised learningfeatures·Sensor aggregates, asset metadata, maintenance history, time-based engineered featuresclass_balance·8% positive in supervised setting
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Supervised vs Unsupervised Learning | Dataford Interview Questions - Dataford - Ace your Interview