April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Index
Note: Page numbers followed by f indicate figures t indicate tables and b indicate boxes.
A
Action selection network (ASN) 331
Action state evaluation network (AEN) 331
Adam optimization function 199
Adaptive moment estimation algorithm 293
Adaptive neural fuzzy inference system (ANFIS) 326
Adaptive neuro-fuzzy controllers 326
Adjusted R-square 63
Advantage computing 427
AI-based edge computing health-care system
architectural approach 471–472
autonomous AI-based solution 471–472
benefits and disadvantages 475
challenges 475
ECGalert use case
AI solution at the edge 473–474
functional description ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.