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Effective Amazon Machine Learning by Alexis Perrier

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What's an algorithm? What's a model?

Before we dive into data munging, let's take a moment to explain the difference between an algorithm and a model, two terms we've been using up until now without a formal definition.

Consider the simple linear regression example we saw in Chapter 1, Introduction to Machine Learning and Predictive Analytics — the linear regression equation with one predictor:

Here, x is the variable, ŷ the prediction, not the real value, and (a,b) the parameters of the linear regression model:

  • The conceptual or theoretical model is the representation of the data that is the most adapted to the actual dataset. It is chosen ...

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