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Building Machine Learning Systems with Python - Second Edition by Luis Pedro Coelho, Willi Richert

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Using FFT to build our first classifier

Nevertheless, we can now create some kind of musical fingerprint of a song using FFT. If we do that for a couple of songs and manually assign their corresponding genres as labels, we have the training data that we can feed into our first classifier.

Increasing experimentation agility

Before we dive into the classifier training, let us first spend some thoughts on experimentation agility. Although we have the word "fast" in FFT, it is much slower than the creation of the features in our text-based chapters. And because we are still in an experimentation phase, we might want to think about how we could speed up the whole feature creation process.

Of course, the creation of the FFT per file will be the same each ...

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