Fundamentals

• 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
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 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.