From feature extraction to models

The feature extraction methods presented in this chapter are not the only ones we can use. Quite a few more exist (to say the least). However, they all work similarly. Unfortunately, no silver bullet exists, and all models have advantages and disadvantages. For the same task, but a different dataset, simpler models may be better than complex ones.

Now that we have seen how to extract features from text, images, and numerical data, it’s time we start training the models. This is what we’ll do in the next chapter.