Fundamentals

Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect...

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Detaylı Bibliyografya
Diğer Yazarlar:	Morik, Katharina (Editör), Marwedel, Peter (Editör)
Materyal Türü:	Elektronik Kitap Bölümü
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Berlin/Boston De Gruyter 2022
Seri Bilgileri:	De Gruyter STEM Volume 1
Konular:	Chemistry Algorithms & data structures Databases Computer networking & communications Artificial intelligence Resource-Constrained Data Analysis Resource-Aware Machine Learning Embedded Systems and Machine Learning Big Data and Machine Learning Artificial Intelligence Highly Distributed Data ML on Small devices Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery
Online Erişim:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Fundamentals

Baskı/Yayın Bilgisi 2022

DOAB: download the publication
DOAB: description of the publication

Elektronik Kitap Bölümü

Fundamentals

Fundamentals

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