The Books Insiderindependent audiobook data
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Jenny Plunkett, Daniel Situnayake

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning: Audiobook

According to The Books Insider's catalog data, the AI at the Edge: Solving Real-World Problems with Embedded Machine Learning audiobook runs 17.3 hours unabridged, narrated by Suzie Althens (about 11.5 hours at 1.5× playback speed).

17.3listening hrs
Computers & Technologystore shelf
2023released
Free for new listeners

The instrument When will you finish it?

Based on 17.3 hours of listening.

Days to finish AI at the Edge: Solving Real-World Problems with Embedded Machine Learning at common listening paces
Your paceYou'll finish in
30 min / day35 days
1 hour / day18 days
2 hours / day9 days
1 hour / day at 1.5×12 days

Part of The Audiobook Finish-Time Calculator: the same instrument for any audiobook we measure.

What our data says

  • At 17.3 hours, it runs longer than 97% of the 3,827 Computers & Technology audiobooks in our catalog.

Computed from 409,794 English-language unabridged audiobooks in The Books Insider catalog (store data read November 3, 2026). Lengths are the store's own running times. Methodology.

About this listen

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning is an audiobook by Jenny Plunkett and Daniel Situnayake: a 17.3-hour unabridged recording, read by Suzie Althens, released November 28, 2023, on the Computers & Technology shelf.

The listen at a glance

Length
17.3 hrs
Narrated by
Suzie Althens
Released
November 28, 2023
Format
Unabridged audiobook
Language
English
Store shelves
Computers & Technology
ISBN
9781663732408

How to listen to AI at the Edge: Solving Real-World Problems with Embedded Machine Learning free

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Questions listeners ask

How long is the AI at the Edge: Solving Real-World Problems with Embedded Machine Learning audiobook?

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning runs 17.3 hours unabridged. At 1.5× speed that drops to roughly 11.5 hours.

Is the AI at the Edge: Solving Real-World Problems with Embedded Machine Learning audiobook free?

Yes, for new listeners: the trial starts you with three free audiobooks.

Who narrates AI at the Edge: Solving Real-World Problems with Embedded Machine Learning?

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning is narrated by Suzie Althens.

Is AI at the Edge: Solving Real-World Problems with Embedded Machine Learning worth listening to at 1.5× speed?

At 1.5× you'd finish in about 11.5 hours, saving 5.8 hours.