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Beginning Machine Learning in IOS - by Mohit Thakkar Paperback
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About this item
Highlights
- Implement machine learning models in your iOS applications.
- About the Author: Mohit Thakkar is an Associate Software Engineer with MNC.
- 157 Pages
- Computers + Internet, Programming
Description
Book Synopsis
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
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.
From the Back Cover
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.
About the Author
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.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .37 Inches (D)
Weight: .55 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 157
Genre: Computers + Internet
Sub-Genre: Programming
Publisher: Apress
Theme: Macintosh
Format: Paperback
Author: Mohit Thakkar
Language: English
Street Date: February 21, 2019
TCIN: 1008782473
UPC: 9781484242964
Item Number (DPCI): 247-24-2805
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.37 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 0.55 pounds
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