Artificial Intelligence, Big Data and Data Science in Statistics - Challenges and Solutions in Environmetrics, the Natural Sciences and Technology (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	November 2022
First published:	2022
Editors:	Ansgar Steland • Kwok-Leung Tsui
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	376
Edition:	1st ed. 2022
ISBN-13:	978-3-03-107154-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-107154-9
Barcode:	9783031071546

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