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Fundamentals.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- ISBN :
- 9783110785944
9783110785944
9783110785937
9783110786125 - ISBNs :
- 9783110785944, 9783110785944, 9783110785937, and 9783110786125
- Database :
- Jio Institute Digital Library Catalog
- Journal :
- Fundamentals
- Notes :
- 004591, New Energy, Open Access star Unrestricted online access, Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/, English
- Publication Type :
- Book
- Accession number :
- jlc.oai.folio.org.fs00001072.a066ce9d.45cb.42ab.961a.8a40adbb56a5
- Document Type :
- Book; Electronic document