Problem
Scenario
You are discussing common machine learning approaches and when to use them. You want to explain the difference clearly in a way that connects the concepts to practical model development.
Question
Explain the difference between supervised and unsupervised learning.
Representative Dataset
size·120K receipt records, 38 featuresmissingness·Light to moderate in merchant metadata and sparse-history featuresfeature_types·Numerical, categorical, behavioral aggregatessupervised_target·High-value repeat shopper within 30 days
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