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Title: Artificial Intelligence, Big Data and Data Science in Statistics ( EBook) : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology // edited by Ansgar Steland, Kwok-Leung Tsui. Dewey Class: 519.5 Edition statement: 1st ed. 2022. Added Personal Name: Steland, Ansgar. editor. Tsui, Kwok-Leung. editor. Publication: Cham : : Springer International Publishing : : Imprint: Springer,, 2022. Other name(s): SpringerLink (Online service) Physical Details: VIII, 376 p. 1 illus. : online resource. ISBN: 9783031071553 Mode of acces to digital resource: Digital reproduction.- Cham : Springer International Publishing, 2022. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. System details note: Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). Summary Note: This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply machine learning methods, demonstrating the benefits of statistics for modeling and analyzing high-dimensional and big data. The book’s expert contributions include theoretical studies of machine learning methods, expositions of general methodologies for sound statistical analyses of data as well as novel approaches to modeling and analyzing data for specific problems and areas. In terms of applications, the contributions deal with data as arising in industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and data scientists, as well as engineers and computer scientists working in related fields or applications.: ------------------------------ *** Non c'è alcun posseduto per questo Record *** -----------------------------------------------
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