fitting noise

What does machine learning fitting actually do?

This is a short note on what machine learning fitting actually does. We usually teach: A correct statistical or machine learning fitting procedure will, with high probability, correctly identify or infer a system that is close to the one actually producing our training examples. For this to actually happen we […]

Estimated reading time: 2 minutes

Bad Bayes: an example of why you need hold-out testing

We demonstrate a dataset that causes many good machine learning algorithms to horribly overfit. The example is designed to imitate a common situation found in predictive analytic natural language processing. In this type of application you are often building a model using many rare text features. The rare text features […]

Estimated reading time: 14 minutes

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What does machine learning fitting actually do?

Bad Bayes: an example of why you need hold-out testing

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