A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.

In the last article, we gave a general introduction to using Swift for backend development. We discussed its advantages: its robustness, stability and, above all, its simplicity. Now we’re going to drill a little deeper, and provide some best practices that will help you in your day-to-day work. Our work today will focus on Vapor, an open-source web framework that provides a robust foundation for websites, APIs and Cloud projects.