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

Machine learning and AI APIs

When adding artificial intelligence to your application, it's not always necessary to write something from scratch, or even use a library. Many cloud providers offer data processing and analysis as a service. Almost all internet giants provide machine learning in the cloud in some form. In addition, plenty of smaller players are present in the market, and they often provide services of comparable quality at a similar cost. The greatest drawback of such small companies is that they tend to be rapidly acquired by major players. After that, their services are being merged with the services of the big companies (at best), or just being closed (at worst).

The range of such services is constantly growing and changing, so I do not see much point in a detailed consideration of these services in this book. I provide a list of services here that have not disappeared during the last year, and are unlikely to vanish in the coming year:

  • Amazon Machine Learning provides general...