Essentials
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Which statement best differentiates generative from discriminative models?

Answer options

A
Generative models learn the joint probability distribution, while discriminative models learn the conditional probability
B
Generative Adversarial Network (GAN)
C
Diffusion Model
D
Support Vector Machines

Correct answer: Generative models learn the joint probability distribution, while discriminative models learn the conditional probability

Explanation

Quick AnswerThe correct answer is Generative models learn the joint probability distribution, while discriminative models learn the conditional probability because it directly addresses the core logic of Essentials.

This question has been retained as-is due to its unique context.

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