October 2019
Intermediate to advanced
523 pages
11h 1m
English
book
Practical Artificial Intelligence with Swift
by Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent
Content preview from Practical Artificial Intelligence with Swift
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Preface
Welcome to Practical Artificial Intelligence with Swift.
This book takes a task-based approach to practical implementations of artificial intelligence (AI) using Swift. We do this because we think that you shouldn’t need to dive deep into complicated mathematics and algorithms in order to have clever AI- and machine learning-driven features in your iOS application. AI shouldn’t be a specialist area that’s available only to AI experts. AI should be accessible.
We live in a world where these techniques are becoming more than commonplace. They’re becoming part of the fabric of how we interact with computers. Because of the incredible power of machine learning, and its ability to impact, benefit, influence, and control human beings, it’s as important for people to be able to have knowledge over how to build and understand artificial intelligence as it was to know how to operate a computer.
To that end, this book is designed to give you a practical understanding of common machine learning tasks. With these, you’ll be able to build better tools, and understand the behaviour of the tools used by others in the wider world. We’re glad you’re here. Let’s build the machine.
Resources Used in This Book
We recommend following along with the book by writing code yourself as you progress through each chapter. If you become stuck, or just want to archive a copy of the code, you can find what you need via our website.
Audience and Approach
This book is written for people who already ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.