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Regularization Theory
Regularization Theory
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Question 1 of 4
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foundation (2/10)
conceptual
What is the primary purpose of regularization in machine learning?
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A.
To accelerate convergence of the training process by providing a smoother optimization landscape
B.
To expand the feature space by increasing the number of features the model can use during training
C.
To drive the training loss to exactly zero by allowing the model to perfectly memorize all data points
D.
To prevent overfitting by penalizing model complexity, trading some bias for reduced variance
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