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Before the machine learns

by Froga

What Machine learning 1 builds on: what a labelled example is, how a score decides spam or not, what "training" actually changes, and why you keep some examples back. About ten minutes.

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Study material

Machine learning starts from examples: things together with the right answer for them. The model never gets a rule written by a person. It gets examples, and has to find a rule that fits them.

A spam filter is shown thousands of emails, each already marked "spam" or "not spam". What is one of those emails called?

multiple choice

AA prediction
BA weight
CA labelled example
DA threshold
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