Book Image

Mastering iOS 14 Programming - Fourth Edition

By : Mario Eguiluz Alebicto, Chris Barker, Donny Wals
Book Image

Mastering iOS 14 Programming - Fourth Edition

By: Mario Eguiluz Alebicto, Chris Barker, Donny Wals

Overview of this book

Mastering iOS 14 development isn’t a straightforward task, but this book can help you do just that. With the help of Swift 5.3, you’ll not only learn how to program for iOS 14 but also be able to write efficient, readable, and maintainable Swift code that reflects industry best practices. This updated fourth edition of the iOS 14 book will help you to build apps and get to grips with real-world app development flow. You’ll find detailed background information and practical examples that will help you get hands-on with using iOS 14's new features. The book also contains examples that highlight the language changes in Swift 5.3. As you advance through the chapters, you'll see how to apply Dark Mode to your app, understand lists and tables, and use animations effectively. You’ll then create your code using generics, protocols, and extensions and focus on using Core Data, before progressing to perform network calls and update your storage and UI with the help of sample projects. Toward the end, you'll make your apps smarter using machine learning, streamline the flow of your code with the Combine framework, and amaze users by using Vision framework and ARKit 4.0 features. By the end of this iOS development book, you’ll be able to build apps that harness advanced techniques and make the best use of iOS 14’s features.
Table of Contents (22 chapters)

Chapter 10: Making Smarter Apps with Core ML

Over the past few years, machine learning has gained in popularity. However, it has never been easy to implement in mobile applications—that is, until Apple released the Core ML framework as part of iOS 11. Core ML is Apple's solution to all of the problems that developers at the company have run into themselves while implementing machine learning for iOS. As a result, Core ML should have the fastest, most efficient implementations for working with sophisticated machine learning models, through an interface that is as simple and flexible as possible.

In this chapter, you will learn what machine learning is, how it works, and how you can use trained machine learning models in your apps. You will also learn how you can use Apple's Vision framework to analyze images, and you'll see how it integrates with Core ML for powerful image detection. Lastly, you'll learn how to use the new Create ML tool to train your models...