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Beginning machine learning in iOS = ...

Thakkar, Mohit.

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Beginning machine learning in iOS = CoreML framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beginning machine learning in iOS/ by Mohit Thakkar.
Reminder of title:	CoreML framework /
Author:	Thakkar, Mohit.
Published:	Berkeley, CA :Apress : : 2019.,
Description:	xi, 157 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-1-4842-4297-1
ISBN:	9781484242971

Beginning machine learning in iOS = CoreML framework /
Thakkar, Mohit.

Beginning machine learning in iOSCoreML framework /[electronic resource] :by Mohit Thakkar. - Berkeley, CA :Apress :2019. - xi, 157 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484242971

Standard No.: 10.1007/978-1-4842-4297-1doiSubjects--Uniform Titles:

iOS (Electronic resource)
Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Beginning machine learning in iOS = CoreML framework /
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520 $a 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.
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