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Machine Learning for Mobile
book

Machine Learning for Mobile

by Revathi Gopalakrishnan, Avinash Venkateswarlu
December 2018
Intermediate to advanced
274 pages
7h 46m
English
Packt Publishing

Overview

Machine Learning for Mobile provides a comprehensive guide to developing intelligent Android and iOS mobile applications powered by machine learning. You will explore various machine learning models and toolkits like TensorFlow Lite, Core ML, and ML Kit, learning how to apply them effectively to real-world problems like image classification and message spam detection.

What this Book will help me do

  • Master building machine learning models for both Android and iOS platforms.
  • Utilize TensorFlow Lite, Core ML, and ML Kit to integrate machine learning into your mobile apps.
  • Create applications that leverage computer vision and data analysis for smart system capabilities.
  • Understand the deployment of on-device machine learning models for efficient operations.
  • Apply machine learning concepts practically through guided examples and projects.

Author(s)

Revathi Gopalakrishnan and Avinash Venkateswarlu are experienced software developers with a passion for education and applying machine learning to real-world applications. They bring extensive experience in mobile application development and have created this guide to share their knowledge in a practical and approachable way.

Who is it for?

This book is ideal for mobile app developers and machine learning enthusiasts who aim to integrate machine learning into their skills. It assumes a familiarity with mobile app development and provides a robust introduction to mobile machine learning. Those with prior experience in machine learning will find extra value but it's not strictly necessary, as the concepts are clearly explained.

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Publisher Resources

ISBN: 9781788629355