AI at the Edge Audiobook By Daniel Situnayake, Jenny Plunkett cover art

AI at the Edge

Solving Real-World Problems with Embedded Machine Learning

Preview

Try for $0.00
Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

AI at the Edge

By: Daniel Situnayake, Jenny Plunkett
Narrated by: Suzie Althens
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $25.79

Buy for $25.79

Confirm purchase
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Cancel

About this listen

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 with edge AI. You'll explore every stage of the process, from data collection to model optimization 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.

In this book, you'll 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; and follow a responsible AI process to create effective products.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2023 Daniel Situnayake and Jenny Plunkett (P)2023 Ascent Audio
Computer Science Machine Learning Data Science Artificial Intelligence
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about AI at the Edge

Average customer ratings
Overall
  • 4 out of 5 stars
  • 5 Stars
    2
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    1
  • 1 Stars
    0
Performance
  • 5 out of 5 stars
  • 5 Stars
    2
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0
Story
  • 5 out of 5 stars
  • 5 Stars
    2
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.