Get started with Machine Learning for Apple and iOS!

Want to know a secret? Machine learning isn’t really that hard to learn. The truth is, you don’t need a PhD from a prestigious university or a background in mathematics to do machine learning. If you already know how to code, you can pick up machine learning quite easily — promise!

This book will get you started with machine learning on iOS and Apple devices. The first bit is a gentle introduction to the world of machine learning and what it has to offer — as well as what its limitations are. In the rest of the book, you’ll look at each of these topics in more detail, until you know enough to make machine learning a useful tool in your software development toolbox.

There are now several high-level Apple frameworks, including Natural Language, Speech, and Vision, that provide advanced machine learning functionality behind simple APIs as part of Apple’s iOS tooling. Whether you want to convert speech to text, recognize language or grammatical structure, detect faces in photos or track moving objects in video, these frameworks have got you covered.

In this book, you’ll learn how to use these tools and frameworks to make your apps smarter. Even better, you’ll learn how machine learning works behind the scenes — and why this technology is awesome.

This book is for all Apple and iOS developers who are interested in learning how to train models, code image recognition systems, learn how natural language processing works, build sequence classifiers and more.

Learn Machine Learning!

Machine learning is one of those topics that can be daunting at first blush. It's not clear where to start, what path someone should take and what APIs to learn in order to get started teaching machines how to learn.

This is where Machine Learning by Tutorials comes in! In this book, we'll hold your hand through a number of tutorials, to get you started in the world of machine learning. We'll cover a wide range of popular topics in the field of machine learning, while developing apps that work on iOS devices.

Who This Book Is For

This books is for the intermediate iOS developer who already knows the basics of iOS and Swift development, but wants to understand how machine learning works.
 

Topics covered in Machine Learning by Tutorials

• •  CoreML: Learn how to add a machine learning model to your iOS apps, and how to use iOS APIs to access it.
• •  Create ML: Learn how to create your own model using Apple's Create ML Tool.
• •  Turi Create and Keras: Learn how to tune parameters to improve your machine learning model using more advanced tools.
• •  Image Classification: Learn how to apply machine learning models to predict objects in an image.
• •  Convolutional Networks: Learn advanced machine learning techniques for predicting objects in an image with Convolutional Neural Networks (CNNs).
• •  Sequence Classification: Learn how you can use recurrent neural networks (RNNs) to classify motion from an iPhone's motion sensor.
• •  Text-to-text Transform: Learn how to use machine learning to convert bodies of text between two languages.

By the end of this book, you'll have a firm understanding of what machine learning is, what it can and cannot do, and how you can use machine learning in your next app!