Question: Explain the concept of a loss function in the context of machine learning models.Answer: A loss function measures the difference between the predicted output and the actual target. It quantifies the model's performance during training and is minimized during the optimization process. Common loss functions include mean squared error, cross-entropy, and hinge loss. |
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