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Fundamentals

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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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Detalhes bibliográficos
Outros Autores: Morik, Katharina (Editor), Marwedel, Peter (Editor)
Formato: Recurso Electrónico Capítulo de Livro
Idioma:inglês
Publicado em: Berlin/Boston De Gruyter 2022
Colecção:De Gruyter STEM Volume 1
Assuntos:
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
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