Discriminative models focus on modeling the decision boundary between different classes rather than modeling the underlying distribution of the data itself; they are often more efficient for classification tasks compared to generative models.
Support Vector Machines (SVM)
Data Scientists
Inefficiency in classifying overlapping classes.
An SVM is used in a spam detection system where it learns from labeled emails (spam/not spam) to classify incoming messages accurately based on their features.
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