Machine Learning for Mobile

£25.99

Machine Learning for Mobile

Practical guide to building intelligent mobile applications powered by machine learning

Mobile and handheld device programming / Apps programming Database design and theory Artificial intelligence Information architecture

Authors: Revathi Gopalakrishnan, Avinash Venkateswarlu

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Language: English

Published by: Packt Publishing

Published on: 31st December 2018

Format: LCP-protected ePub

Size: 274 pages

ISBN: 9781788621427


Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

Build smart mobile applications for Android and iOS devices

Use popular machine learning toolkits such as Core ML and TensorFlow Lite

Explore cloud services for machine learning that can be used in mobile apps

Book Description

Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples.

You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains.

By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices.

What you will learn

Build intelligent machine learning models that run on Android and iOS

Use machine learning toolkits such as Core ML, TensorFlow Lite, and more

Learn how to use Google Mobile Vision in your mobile apps

Build a spam message detection system using Linear SVM

Using Core ML to implement a regression model for iOS devices

Build image classification systems using TensorFlow Lite and Core ML

Who this book is for

If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus

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