LEADER 00000nim a22005657i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  h         
007    sz zunnnnnuneu 
007    cr nnannnuuuuu 
008    231129s2023    xx nnnn o      i  n eng d 
020    9781663732415|q(electronic audio bk.) 
020    1663732418|q(electronic audio bk.) 
035    (OCoLC)1410952567 
037    9781663732415|bO'Reilly Media 
040    ORMDA|beng|erda|epn|cORMDA|dOCLCO 
049    INap 
082 04 006.3/1 
082 04 006.3/1|223/eng/20231129 
099    eAudiobook O’Reilly for Public Libraries 
100 1  Situnayake, Daniel,|eauthor. 
245 10 AI at the edge :|bsolving real-world problems with 
       embedded machine learning /|cDaniel Situnayake and Jenny 
       Plunkett ; foreword by Pete Warden.|h[O'Reilly for 
       electronic resources] 
246 3  Artificial intelligence at the edge 
246 30 Solving real-world problems with embedded machine learning
250    [First edition]. 
264  1 [Place of publication not identified] :|bAscent Audio,
       |c2023. 
300    1 online resource (1 sound file (17 hr., 16 min.)) 
306    171600 
336    spoken word|bspw|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
344    digital|2rdatr 
347    audio file|2rdaft 
511 0  Read by Suzie Althens. 
520    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. 
588 0  Online resource; title from title details screen (O'Reilly,
       viewed November 28, 2023). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Machine learning. 
650  0 Embedded computer systems. 
650  0 Internet of things. 
650  6 Apprentissage automatique. 
650  6 Systèmes enfouis (Informatique) 
650  6 Internet des objets. 
655  7 Audiobooks.|2lcgft 
655  7 Livres audio.|2rvmgf 
700 1  Plunkett, Jenny,|eauthor. 
700 1  Warden, Pete,|eauthor. 
700 1  Althens, Suzie,|enarrator. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781663732415/?ar
       |zAvailable on O’Reilly for Public Libraries 
994    92|bJFN