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Related Questions
- What is regularisation and how does it help prevent overfitting?
- Can you explain the concept of early stopping in machine learning and its role in preventing overfitting?
- How does L1 and L2 regularization differ in terms of their effect on model complexity?
- What is data augmentation and how can it be used to prevent overfitting in deep neural networks?
- How do ensemble methods, such as bagging and boosting, help prevent overfitting?
- Can you discuss the role of dropout regularization in preventing overfitting in neural networks?
- What is cross-validation and how can it be used to evaluate model performance and prevent overfitting?
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