What are some examples of loss functions in machine learning?
An example of an AI chatbot conversation about loss function examples in machine learning.
What are some examples of loss functions used in machine learning?
Common examples of loss functions include Mean Squared Error (MSE), Cross-Entropy Loss, and Hinge Loss.
Can you explain Mean Squared Error?
Mean Squared Error measures the average squared difference between predicted and actual values, useful for regression.
What about Cross-Entropy Loss?
Cross-Entropy Loss is used for classification tasks, measuring the difference between predicted probabilities and actual labels.
Are there any other loss functions I should know about?
Yes, there's Hinge Loss for SVMs, Kullback-Leibler Divergence for probability distributions, and more depending on the task.
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