Once again we point to the Kadenze course on how to use Wekinator for real-time interactive ML:

**Machine Learning for Artists & Musicians** (Covering Wekinator)

In the video below the creator of **Wekinator** covers the use of an Application (**avaliable here**) to experiment with Linear and Polynomial Regression in a visual way. Creating a dataset by clicking points and then training and viewing the model output. The application is also available as a Processing sketch if you want to examine how the code works. (Note: this software was used in the video for demonstration).

Classification and Regression are two types of **supervised machine learning**. In the video we point out that Classification predicts whether an input is one of any number of distinct categories or classes. Regression predicts a numerical output for an input.

If you are interested in the math behind linear regression or how it might be implemented in code. The video below is a nice succinct summary of the math.

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