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Edge Intelligence - From Theory to Practice (Paperback, 1st ed. 2023)
Loot Price: R1,976
Discovery Miles 19 760
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Edge Intelligence - From Theory to Practice (Paperback, 1st ed. 2023)
Expected to ship within 10 - 15 working days
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This graduate-level textbook is ideally suited for lecturing the
most relevant topics of Edge Computing and its ties to Artificial
Intelligence (AI) and Machine Learning (ML) approaches. It starts
from basics and gradually advances, step-by-step, to ways AI/ML
concepts can help or benefit from Edge Computing platforms. The
book is structured into seven chapters; each comes with its own
dedicated set of teaching materials (practical skills,
demonstration videos, questions, lab assignments, etc.). Chapter 1
opens the book and comprehensively introduces the concept of
distributed computing continuum systems that led to the creation of
Edge Computing. Chapter 2 motivates the use of container
technologies and how they are used to implement programmable edge
computing platforms. Chapter 3 introduces ways to employ AI/ML
approaches to optimize service lifecycles at the edge. Chapter 4
goes deeper in the use of AI/ML and introduces ways to optimize
spreading computational tasks along edge computing platforms.
Chapter 5 introduces AI/ML pipelines to efficiently process
generated data on the edge. Chapter 6 introduces ways to implement
AI/ML systems on the edge and ways to deal with their training and
inferencing procedures considering the limited resources available
at the edge-nodes. Chapter 7 motivates the creation of a new
orchestrator independent object model to descriptive objects
(nodes, applications, etc.) and requirements (SLAs) for underlying
edge platforms. To provide hands-on experience to students and
step-by-step improve their technical capabilities, seven sets of
Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions
for each TaL is provided on the book website, and accompanied by
videos to facilitate their learning process.
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