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

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781098101749
Book Title
AI and Machine Learning for On-Device Development
ISBN
9781098101749
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Ai and Machine Learning for On-Device Development : a Programmer's Guide
Item Height
0.7in
Author
Laurence Moroney
Item Length
9.1in
Publisher
O'reilly Media, Incorporated
Item Width
7in
Item Weight
19.9 Oz
Number of Pages
326 Pages

About this product

Product Information

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. Explore the options for implementing ML and AI on mobile devices Create ML models for iOS and Android Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs Learn privacy and ethics best practices for ML on devices

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
109810174x
ISBN-13
9781098101749
eBay Product ID (ePID)
3050094508

Product Key Features

Author
Laurence Moroney
Publication Name
Ai and Machine Learning for On-Device Development : a Programmer's Guide
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
326 Pages

Dimensions

Item Length
9.1in
Item Height
0.7in
Item Width
7in
Item Weight
19.9 Oz

Additional Product Features

Lc Classification Number
Qa76.76.A65
Topic
Information Theory, Hardware / Mobile Devices, General
Lccn
2022-275560
Dewey Decimal
006.31
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics

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Premier Books LLC
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United States
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