Business Ethics in Artificial Intelligence
Regularization techniques are methods used in machine learning to prevent overfitting by adding a penalty term to the loss function, which discourages complex models that fit noise in the training data. These techniques help improve model generalization by simplifying the model while maintaining its predictive power, making them crucial for developing fair and unbiased AI systems.
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