Ebook: Machine Learning with Swift: Artificial Intelligence for iOS

Intro; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Machine Learning; What is AI?; The motivation behind ML; What is ML?; Applications of ML; Digital signal processing (DSP); Computer vision; Natural language processing (NLP); Other applications of ML; Using ML to build smarter iOS applications; Getting to know your data; Features; Types of features; Choosing a good set of features; Getting the dataset; Data preprocessing; Choosing a model; Types of ML algorithms; Supervised learning; Unsupervised learning.;Machine learning has become a hot topic for developers who want to impart intelligent functionality to their applications. In this book, we'll show you how to incorporate various machine learning libraries available for iOS developers. You'll quickly get acquainted with the machine learning fundamentals and implement various algorithms with Swift.