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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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Bibliographic Details
Main Author: Morik, Katharina
Other Authors: Marwedel, Peter
Format: eBook
Language:English
Published: Berlin/Boston De Gruyter 2022
Series:De Gruyter STEM
Subjects:
Ml On Small Devices
Resource-aware Machine Learning
Artificial Intelligence / Bicssc
Thema Editeur::u Computing And Information Technology::un Databases
Computer Networking And Communications / Bicssc
Artificial Intelligence
Thema Editeur::p Mathematics And Science::pn Chemistry
Big Data And Machine Learning
Thema Editeur::u Computing And Information Technology::uy Computer Science::uyq Artificial Intelligence
Thema Editeur::u Computing And Information Technology::um Computer Programming / Software Engineering::umb Algorithms And Data Structures
Resource-constrained Data Analysis
Databases / Bicssc
Highly Distributed Data
Embedded Systems And Machine Learning
Algorithms And Data Structures / Bicssc
Data Mining For Ubiquitous System Software Cyber-physical Systems Machine Learning In High-energy Physics Machine Learning For Knowledge Discovery
Thema Editeur::u Computing And Information Technology::ut Computer Networking And Communications
Chemistry / Bicssc
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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 to resource requirements and how to enhance scalability on diverse computing architectures ranging from embedded systems to large computing clusters.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (491 p.)
ISBN:9783110786125
9783110785937
9783110785944

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