Machine Learning Tutorial - Supervised Learning | Supervised Learning Examples
Supervised learning is where you have input variables (x) and an output variable (Y), and you use an algorithm to learn the mapping function from the input to the output.
The goal is to approximate the mapping function so well that when you have new input data (x) that you can predict the output variables (Y) for that data.
In these tutorials, you will learn the basics of Supervised Machine Learning,
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