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Beginning Machine Learning in iOS
CoreML Framework Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

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.
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. 

Info autore

Mohit Thakkar 
is an Associate Software Engineer with MNC. He has a bachelor's degree in computer engineering and is the author of several independently published titles, including 
Artificial Intelligence, Data Mining & Business Intelligence, iOS Programming, 
and 
Mobile Computing & Wireless Communication. 
He also published a research paper titled “Remote Health Monitoring using Implantable Probes to Prevent Untimely Death of Animals” in the International Journal of Advanced Research in Management, Architecture, Technology and Engineering. 

Riassunto

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.

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. 

Dettagli sul prodotto

Autori Mohit Thakkar
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 13.04.2019
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Sistemi operativi, interfacce
 
EAN 9781484242964
ISBN 978-1-4842-4296-4
Numero di pagine 157
Illustrazioni XI, 157 p. 112 illus.
Dimensioni (della confezione) 15.5 x 1 x 24.4 cm
Peso (della confezione) 282 g
 
Categorie B, machine learning, optimieren, Apple-Betriebssysteme, Apple Computer, Mobile Development, Professional and Applied Computing, Apple (Mac OS) operating systems, Apple and iOS, iOS Development
 

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