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

Delivering perfect user experience

According to the iTunes Connect Developer Guide, the total uncompressed size of the app should be less than 4 GB (as of December 15, 2017); however, this applies only to the binary itself, while asset files can take as much space as the disk capacity allows. There is also a limit on app size for the cellular download, as stated on the Apple Developer site (

"We've increased the cellular download limit from 100 MB to 150 MB, letting customers download more apps from the App Store over their cellular network."

The simple conclusion is that you'd better store you model parameters as on-demand resources, or download them from your server after the app is already installed; but this is only one half of the problem. The other half is that you really don't want your app to take a lot of space and consume tons of traffic, because this is a bad user experience.

We can attack the problem from several directions (from the...