Question: In machine learning, what is the term for a technique that prevents model weights from becoming too large during training?
Answer:
Regularization is a technique that prevents model weights from becoming too large during training, helping to prevent overfitting.
MCQ: In machine learning, what is the term for a technique that prevents model weights from becoming too large during training?
Explanation:
Regularization is a technique that prevents model weights from becoming too large during training, helping to prevent overfitting.
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