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AI and Machine Learning for On-Device Development: A Programmer's Guide

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AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.

326 pages, Paperback

Published September 21, 2021

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About the author

Laurence Moroney

50 books31 followers
Laurence Moroney is the author of more books than he’s prepared to admit. After several best selling programming books, his first Young Adult novel “The Fourth World” became a #1 book on Amazon Kindle, spawned two sequels “The Million Year Journey” and “The Legend of the Locust”, and is currently being shopped around studios for a potential movie. “Space Cadets” is his latest, a cutting edge science fiction novel, based on real science that starts a new series charting out humanity’s course to the stars. He’s presently working on the sequel “The Quiet World”, which he hopes to finish in 2015. For his day job, Laurence works as a Developer Advocate for Google, where he is constantly counting his blessings for being part of the best workplace in the world…

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Displaying 1 - 2 of 2 reviews
Profile Image for Laura Uzcategui.
122 reviews8 followers
August 8, 2021
I was a technical reviewer for this book.

Do you have an idea of a Machine Learning application and want to build an app on mobile but you don't know where or how to get started?

Personally, I do not have experience in mobile development and I have read and done all the exercises provided and I was able to deploy and serve ML models on device in minutes.

The book will start from the basics, by giving you a quick refresher on Machine Learning concepts, then take you through a journey of building applications where you can serve your ML models and perform inference without the data leaving your device.

Yet another characteristic of this book is that it doesn't focus on one platform only, instead, chapters are split between Android and iOS, so you could learn how to do it in both.

The last chapter is a bonus and really well described on AI and ethics, accessibility, bias and what are the efforts that are currently made through the industry and what is next in terms of building AI applications responsibly.

Truly enjoyed being a reviewer and a reader, learned a lot.

Displaying 1 - 2 of 2 reviews

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