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Question 1 of 20
What's the key difference between classification and regression?
Supervised Learning
A
Classification predicts discrete labels; regression predicts continuous values
B
Classification uses gradient descent; regression uses maximum likelihood
C
Classification requires one-hot encoding; regression requires normalization
D
Classification optimizes cross-entropy; regression optimizes accuracy
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