Machine Learning with Swift

Key Features

Implement effective machine learning solutions for your iOS applications

Use Swift and Core ML to build and deploy popular machine learning models

Develop neural networks for natural language processing and computer vision

Book Description

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.

What you will learn

Learn rapid model prototyping with Python and Swift

Deploy pre-trained models to iOS using Core ML

Find hidden patterns in the data using unsupervised learning

Get a deeper understanding of the clustering techniques

Learn modern compact architectures of neural networks for iOS devices

Train neural networks for image processing and natural language processing

Who this book is for

iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.