Overview
- Introduces the general concepts of Machine Learning as well as how they specifically pertain to iOS
- Provides practical examples with illustrations that give more clarity on the subject
- Teaches the concepts important specifically to CoreML and how they have been implemented in popular apps
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Table of contents (5 chapters)
Keywords
About this book
Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps.
Beginning Machine Learning in iOS is your guide to putting machine learning to work in your iOS applications.
What You'll Learn
- Understand the CoreML components
- Train custom models
- Implement GPU processing for better computation efficiency
- Enable machine learning in your application
Who This Book Is For
Novice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Beginning Machine Learning in iOS
Book Subtitle: CoreML Framework
Authors: Mohit Thakkar
DOI: https://doi.org/10.1007/978-1-4842-4297-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Mohit Thakkar 2019
Softcover ISBN: 978-1-4842-4296-4Published: 21 February 2019
eBook ISBN: 978-1-4842-4297-1Published: 20 February 2019
Edition Number: 1
Number of Pages: XI, 157
Number of Illustrations: 112 b/w illustrations
Topics: Apple and iOS