Description: Further DetailsTitle: Machine Learning under Resource Constraints - FundamentalsCondition: NewISBN-10: 3110785935EAN: 9783110785937ISBN: 9783110785937Publisher: De GruyterFormat: PaperbackRelease Date: 12/31/2022Description: Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters. Language: EnglishCountry/Region of Manufacture: DEItem Height: 240mmItem Length: 170mmItem Weight: 843gContributor: Katharina Morik (Edited by), Peter Marwedel (Edited by)Genre: Computing & InternetBook Series: De Gruyter STEMAuthor: Peter MarwedelRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Machine Learning under Resource Constraints - Fundamentals
Title: Machine Learning under Resource Constraints - Fundamentals
ISBN-10: 3110785935
EAN: 9783110785937
ISBN: 9783110785937
Release Date: 12/31/2022
Release Year: 2022
Country/Region of Manufacture: DE
Item Height: 240mm
Contributor: Peter Marwedel (Edited by)
Genre: Computing & Internet
Number of Pages: 505 Pages
Publication Name: Machine Learning under Resource Constraints-Fundamentals
Language: English
Publisher: DE Gruyter Gmbh, Walter
Subject: Programming / Algorithms, Data Processing, Databases / Data Mining, Information Technology, Chemistry / General
Publication Year: 2022
Item Weight: 29.7 Oz
Type: Textbook
Item Length: 9.4 in
Author: Peter Marwedel
Subject Area: Computers, Science
Item Width: 6.7 in
Series: De Gruyter Stem Ser.
Format: Trade Paperback
