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Beginning Machine Learning in IOS - by  Mohit Thakkar (Paperback) - 1 of 1

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
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.



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: 1011989479
UPC: 9781484242964
Item Number (DPCI): 247-16-7030
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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Q: What topics are covered in this book about machine learning?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book covers primary principles of machine learning, CoreML, and advanced implementation techniques for iOS applications.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What is CoreML and its significance in this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: CoreML is a framework discussed in the book that enables machine learning tasks in Apple products, essential for iOS app development.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What practical applications of machine learning are mentioned?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book discusses applications like Siri for voice requests, Photos app for facial recognition, and Facebook's photo suggestions.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book is aimed at novice developers and programmers interested in implementing machine learning in iOS applications.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What can readers expect to learn from this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: Readers will learn to understand CoreML components, train custom models, and implement GPU processing for efficient computations.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

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