Can robust models be used in machine learning?
An example of an AI chatbot conversation about robust models in machine learning.
What are robust models in machine learning?
Robust models are designed to perform well even in the presence of noise or outliers in the data.
How do they differ from traditional models?
Traditional models may be sensitive to outliers, while robust models aim to minimize their impact on predictions.
Can you give an example of a robust model?
Sure! An example is the Huber loss function, which combines the properties of both L1 and L2 loss.
Are robust models more complex to implement?
They can be more complex, but they often lead to better performance in real-world scenarios.
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