In the previous chapters, we looked into how to use machine learning with images and text data to do object detection and classification, as well as sentiment analysis, toxicity classification and question answering.
These are probably the most common examples of what machine learning can do. However, this list is not exhaustive and many more inputs can be used.
In this chapter, we’re going to explore different kinds of input data and build a few experimental projects to understand how to use machine learning with audio and hardware data, as well as using models ...
