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Which strategies can help reduce overfitting in a machine learning model?
A
Increasing the model's complexity to better fit the training data.
B
Applying feature engineering and dimensionality reduction techniques.
C
Relying solely on data augmentation for all scenarios.
D
Combining multiple techniques like regularization and early stopping with feature engineering.
