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Beginning Machine Learning in iOS = CoreML Framework /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Beginning Machine Learning in iOS/ by Mohit Thakkar.
Reminder of title:	CoreML Framework /
Author:	Thakkar, Mohit.
Description:	XI, 157 p. 112 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Apple computer. -
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. - 1st ed. 2019. - XI, 157 p. 112 illus.online resource.

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--Topical Terms:

909025
Apple computer.

LC Class. No.: QA76.8.M3

Dewey Class. No.: 004.165

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