Beginning Machine Learning in iOS : CoreML Framework / by Mohit Thakkar.

Format:

Book

Author/Creator:

Thakkar, Mohit., Author.

Language:

English

Subjects (All):

Apple computers.

Apple and iOS.

iOS (Electronic resource).

Local Subjects:

Apple and iOS.

Physical Description:

1 online resource (XI, 157 p. 112 illus.)

Edition:

1st ed. 2019.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2019.

System Details:

text file

Summary:

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products. 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.

Contents:

Chapter 1. Introduction to Machine Learning

Chapter 2. Introduction to Core ML Framework

Chapter 3. Custom ML Models Using Turi Create

Chapter 4. Custom Core ML Models using Create ML

Chapter 5. Improving Computational Efficiency. .

Notes:

Includes bibliographical references.

ISBN:

9781484242971

1484242971

OCLC:

1091373908