Applications of ML

There are many domains where ML is an indispensable ingredient, some of them are robotics, bioinformatics, and recommender systems. While nothing prevents you from writing bioinformatic software in Swift for macOS or Linux, we will restrict our practical examples in this book to more mobile-friendly domains. The apparent reason for this is that currently, iOS remains the primary target platform for most of the programmers who use Swift on a day-to-day basis.

For the sake of convenience, we'll roughly divide all ML applications of interest for mobile developers into three plus one areas, according to the datatypes they deal with most commonly:

• Digital signal processing (sensor data, audio)
• Computer vision (images, video)
• Natural language processing (texts, speech)
• Other applications and datatypes