Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology

This book explores the intersection of statistics, data science, machine learning, and artificial intelligence, focusing on environmental science, natural sciences, and technology. It provides a comprehensive overview of the state-of-the-art techniques and applications, covering topics such as machine learning methods, statistical analyses, and modeling of high-dimensional and big data. With contributions from experts in the field, the book offers valuable insights for statisticians, data scientists, engineers, and computer scientists working in these areas.

Format: Hardback
Length: 376 pages
Publication date: 16 November 2022
Publisher: Springer International Publishing AG

This comprehensive book delves into the intricate interplay between statistics, data science, machine learning, and artificial intelligence, with a particular emphasis on environmental science, natural sciences, and technology. It provides a comprehensive overview of the state-of-the-art from both theoretical and practical perspectives, showcasing how machine learning methods can be effectively applied to model and analyze high-dimensional and big data. Renowned experts from various fields contribute their expertise, offering theoretical studies of machine learning techniques, general methodologies for robust statistical analyses, and innovative approaches to modeling and analyzing data for specific problems and domains.

The applications covered in the book span a wide range of fields, including industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, COVID-19, and public health. The book appeals to a diverse audience, including statisticians, data scientists, engineers, and computer scientists working in related fields or applications.

By exploring the intersection of these disciplines, the book offers valuable insights into the latest advancements and applications in data science and machine learning, enabling readers to stay at the forefront of this rapidly evolving field. It serves as a valuable resource for researchers, practitioners, and students seeking to leverage the power of data for solving real-world problems and advancing scientific research.

Weight: 740g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031071546
Edition number: 1st ed. 2022