Book Image

Machine Learning with Swift

By : Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev
Book Image

Machine Learning with Swift

By: Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev

Overview of this book

Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves.
Table of Contents (18 chapters)
Title Page
Packt Upsell


As iOS developers, we are primarily interested in compatible high-performance libraries with a low memory footprint. Swift is a relatively young programming language, so the libraries for machine learning written in it are mostly amateur attempts. However, several more professional and actively growing Swift machine learning packages already exist.

Still, it would be unwise to neglect libraries written in other iOS-compatible languages ​​such as Objective-C, C, C ++, Lua, and JavaScript, because often they are much more mature and have a broad community. Several reliable cross-platform libraries are worth mentioning in this context.

Importing C libraries into your Swift code is straightforward: you can read about C-Swift interoperability at Apple's Developer portal. Technically, C++ libraries are not compatible with Swift, but you can bridge them via Objective-C so that no C++ or Objective-C++ headers are visible to Swift. Fortunately, Objective C integrates with C++ smoothly.