SKU: 49138071484

AI at the Edge

Sale price$810.00 Regular price$900.00
Save 10%

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 11 - Jul 16

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

AI at the EdgeEdge 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 micro controllers to embedded Linux devices. This practical guide gives engineering professionals,

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 micro controllers 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 with edge AI. You'll explore every stage of the process, from data collection to model optimisation to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. "Develop your expertise in AI and ML for edge devices "Understand which projects are best solved with edge AI "Explore key design patterns for edge AI apps "Learn an iterative workflow for developing AI systems "Build a team with the skills to solve real-world problems "Follow a responsible AI process to create effective products About the Author Daniel Situnayake is Head of Machine Learning at Edge Impulse, where he leads embedded machine learning R&D. He's coauthor of the O'Reilly book TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Micro controllers, the standard textbook on embedded machine learning, and has delivered guest lectures at Harvard, UC Berkeley, and UNIFEI. Dan previously worked on TensorFlow Lite at Google, and co-founded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University.Jenny Plunkett is a Senior Developer Relations Engineer at Edge Impulse, where she is a technical speaker, developer evangelist, and technical content creator. In addition to maintaining the Edge Impulse documentation, she has also created developer-facing resources for Arm Mbed OS and Pelion IoT. She has presented workshops and tech talks for major tech conferences such as the Grace Hopper Celebration, Edge AI Summit, Embedded Vision Summit, and more. Jenny previously worked as a software engineer and IoT consultant for Arm Mbed and Pelion. She graduated with a B.S. in Electrical Engineering from The University of Texas at Austin.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 49138071484

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.3 ★★★★★
Based on 2327 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
J
Verified Purchase
Julie B
Cuba, US
★★★★★ 4
Quality bag for the price
Color: Brown
Quality leather bag for a reasonable price. Slightly smaller than I anticipated. Love the color.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 9, 2025
K
Verified Purchase
kaibaby
Dallas, US
★★★★★ 5
Leather purse
Color: Coffee
Love this purse..the right size..holds alot.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 28, 2026
D
Verified Purchase
Dawn Broaddrick
Massapequa, US
★★★★★ 5
I’ve enjoyed this purse
Color: Coffee
Love it, haven’t use it long so I cannot speak to long term durability but it is a nice purse, real leather and feels good. I get many compliments.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2025
J
Verified Purchase
JOY D
Massapequa, US
★★★★★ 5
A little costly but worth it.
Color: Brown
It has the feel and color of fine German leather.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 25, 2025
B
Verified Purchase
Briendelle Miksch
Los Angeles, US
★★★★★ 5
Great crossbody
Color: Brown
Love it with lots of room. Front pocket holds my iPhone 17 Pro Max. Well made.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 28, 2025

recommand products