Solutions to the problem of overfitting are specific to particular machine learning approaches. For now, the important point is to be aware of the issue. How well models are able to handle noisy data is an important source of distinction among them.
Different machine learning models handle the problem of over-fitting in different ways. Over-fitting comes up as a topic often in the study of model development in data science.
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