KN Zafeiris
Data Analysis and Related Applications 2, Volume 10
Data Analysis and Related Applications 2, Volume 10
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Excellent- More about Data Analysis and Related Applications 2, Volume 10
The scientific field of data analysis is constantly expanding due to the growth of the computer industry and new advances in statistical, stochastic, and analytic tools. This book is a collection of chapters by leading scientists, computer experts, analysts, engineers, mathematicians, probabilists, and statisticians covering current concerns, developments, and research interests in data analysis and related applications.
Format: Hardback
Length: 448 pages
Publication date: 17 October 2022
Publisher: ISTE Ltd
The field of data analysis is experiencing a remarkable expansion due to the rapid growth of the computer industry and the widespread use of computational and algorithmic techniques, in conjunction with innovative advancements in statistical, stochastic, and analytic tools. The demand for new, high-quality publications that cover the latest developments in all areas of science and engineering is ever-increasing.
This comprehensive book is a collaborative effort brought together by a group of esteemed scientists, computer experts, analysts, engineers, mathematicians, probabilists, and statisticians who are at the forefront of data analysis and related applications. The chapters in this collaborative work provide a diverse perspective on current concerns, advancements, and research interests in these scientific domains. The material has been organized into appropriate sections to offer readers a comprehensive understanding of data analysis methods, models, and techniques, as well as their applications.
The field of data analysis is characterized by its interdisciplinary nature, drawing upon various disciplines such as computer science, statistics, mathematics, engineering, and more. This book serves as a valuable resource for researchers, practitioners, and students alike, offering a comprehensive overview of the latest developments and cutting-edge techniques in data analysis. By presenting a diverse range of perspectives and expertise, this book provides a valuable platform for exchanging ideas and fostering collaboration in this rapidly evolving field.
Weight: 736g
Dimension: 235 x 156 x 25 (mm)
ISBN-13: 9781786307729
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