Databricks Certified Machine Learning - Associate
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Which of the following strategies can be used to reduce overfitting in machine learning models? Choose the best answer.
Which of the following strategies can be used to reduce overfitting in machine learning models? Choose the best answer.
Real Exam
A
Data Augmentation (e.g., Image scaling, rotation to enhance training data diversity)
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B
Dropout, a technique that randomly deactivates neurons during training to prevent overfitting
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C
Early Stopping, halting training before the model starts overfitting
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