Book Image

Machine Learning with Core ML

Book Image

Machine Learning with Core ML

Overview of this book

Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs
Table of Contents (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we introduced ML and its value by contrasting it against classical programming. We then spent some time exploring different applications of ML, and for each we speculated about the type of data, algorithms, and learning style used. This approach was taken to help demystify how ML works and to encourage you to start thinking about how you can leverage data to improve user experience and/or offer new functionality. We'll continue this approach throughout this book with (obviously) more emphasis on making use of ML by way of example applications related to computer vision.

In the next chapter, we will introduce Core ML, iOS's specifically designed framework for making ML accessible to developers with little or no experience with ML.