Fundamentals

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
Format: eBook
Language:English
Published: Berlin/Boston De Gruyter 2022
Series:De Gruyter STEM
Subjects:
Algorithms and data structures
Artificial intelligence
Chemistry
Computer networking and communications
Databases
Artificial Intelligence
Big Data and Machine Learning
Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery
Embedded Systems and Machine Learning
Highly Distributed Data
ML on Small devices
Resource-Aware Machine Learning
Resource-Constrained Data Analysis
thema EDItEUR::P Mathematics and Science::PN Chemistry
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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