Amazon
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning: Situnayake, Daniel, Plunkett, Jenny: 9781098120207: Amazon.com: Books
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O'Reilly
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AI at the Edge [Book]
January 10, 2023 - With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.
Authors Daniel SitunayakeJenny Plunkett
Published 2023
Pages 512
AbeBooks
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning - Situnayake, Daniel; Plunkett, Jenny: 9781098120207 - AbeBooks
With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end ...
Amazon
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Amazon.com: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning eBook : Situnayake, Daniel, Plunkett, Jenny: Kindle Store
Amazon.com: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning eBook : Situnayake, Daniel, Plunkett, Jenny: Kindle Store
Better World Books
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning book by Daniel Situnayake, Jenny Plunkett: 9781098120207
With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.
Author Daniel Situnayake, Jenny Plunkett
Goodreads
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake | Goodreads
With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.
Authors Daniel SitunayakeJenny Plunkett
Pages 512
Skillsoft
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Audiobook - EVERYONE - Skillsoft
With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an ...
Bookshop.org
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
AI at the Edge
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems wi
Price $74.39
Goodwill Books
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning - Daniel Situnayake
With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.
Author Daniel Situnayake
Cb-india
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
AI at the Edge
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. · This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems w
Price ₹1,800.00
Agenda Bookshop
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AI at the Edge – Agenda Bookshop
AI at the Edge
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.
This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems wi
Price €76.99
Course Sidekick
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AI at the Edge Solving Real-World Problems with Embedded Machine Learning (Daniel Situnayake, Jenny - Course Sidekick
April 4, 2024 - Information-systems document from Beaconhouse National University, Tarogil Campus, 492 pages, Praise for AI at the Edge AI at the Edge introduces the new and fast-growing field of edge AI in a practical, easy-tofollow way. It demystifies jargon and highlights real challenges that you are likely ...
BooksRun
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AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
September 6, 2025 - AI at the Edge: Solving Real-World Problems with Embedded Machine Learning (ISBN-13: 9781098120207 and ISBN-10: 1098120205), written by authors Daniel Situnayake , Jenny Plunkett , was published by O'Reilly Media in 2023.