Book Image

Machine Learning with Swift

By : Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev
Book Image

Machine Learning with Swift

By: Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev

Overview of this book

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.
Table of Contents (18 chapters)
Title Page
Packt Upsell

Building an adaptable user experience

Human-computer interaction is never easy. Computers don't understand speech, sentiments, or body language. However, we are all used to communicating with our smart devices using not-so-smart buttons, drop downs, pickers, switches, checkboxes, sliders, and hundreds of other controls. They comply with a new kind of language that is commonly referred to as UI. Slowly but unavoidably, machine learning has made its way into all areas where computers interact directly with humans: voice input, handwriting input, lip reading, gesture recognition, body pose estimation, face emotion recognition, sentiment analysis, and so on. This may not be immediately obvious, but machine learning is the future of both UI and UX. Today, machine learning is already changing the way users interact with their devices. Machine learning-based solutions are likely to become widely-adopted in UIs because of their convenience. Furthermore, ranking, contextual suggestions, automatic...