Price: $199.99 - $151.93
(as of Aug 20, 2025 17:08:00 UTC – Details)
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 datascientists, as well as engineers and computer scientists working in related fields or applications.
Publisher : Springer
Publication date : November 16, 2022
Edition : 1st ed. 2022
Language : English
Print length : 384 pages
ISBN-10 : 3031071549
ISBN-13 : 978-3031071546
Item Weight : 1.58 pounds
Dimensions : 6.14 x 0.88 x 9.21 inches
Best Sellers Rank: #9,003,939 in Books (See Top 100 in Books) #1,159 in Information Theory #3,427 in Database Storage & Design #3,919 in Artificial Intelligence (Books)
