Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods

Data analysis is a growing field that has seen rapid growth in the tech industry and the wide applicability of computational techniques. Modeling enables data analysts to identify relationships, make predictions, and understand and visualize the extracted information more strategically. Applied Modeling Techniques and Data Analysis 2 is a collective work by leading scientists, analysts, engineers, mathematicians, and statisticians that covers a cross-section of current concerns and research interests in the above scientific areas.

Format: Hardback
Length: 288 pages
Publication date: 11 June 2021
Publisher: ISTE Ltd

Big data, artificial intelligence, and data analysis have seen significant growth in recent years, driven by technological advancements and the widespread application of computational techniques. This field encompasses the scientific exploration and interpretation of large datasets, leveraging advanced analytical tools and modeling techniques to extract valuable insights. Applied Modeling Techniques and Data Analysis 2, a comprehensive work edited by Jacques Janssen, presents the latest developments in this area, catering to the growing demand of the scientific community.

The book brings together a diverse group of experts from various fields, including scientists, analysts, engineers, mathematicians, and statisticians, who are actively involved in the front end of data analysis and modeling applications. The chapters in this volume cover a wide range of current concerns and research interests within big data, artificial intelligence, and data analysis. They provide a comprehensive overview of data analysis methods, models, and techniques, along with practical applications in various domains.

One of the key strengths of Applied Modeling Techniques and Data Analysis 2 is its interdisciplinary approach. The chapters seamlessly integrate theoretical concepts with practical applications, making the material accessible to a broad audience. The authors employ a rigorous scientific methodology, employing advanced statistical techniques and computational tools to analyze and interpret data. This book serves as a valuable resource for researchers, practitioners, and students interested in advancing their knowledge and expertise in big data, artificial intelligence, and data analysis.

In conclusion, Applied Modeling Techniques and Data Analysis 2 is a comprehensive and timely work that showcases the latest advancements in big data, artificial intelligence, and data analysis. By bringing together a diverse group of experts and presenting a wide range of topics, this book provides valuable insights and practical applications for researchers, practitioners, and students in this field. The interdisciplinary approach and rigorous scientific methodology make it an essential resource for anyone seeking to stay updated with the latest developments and trends in data analysis.

Weight: 546g
Dimension: 241 x 162 x 21 (mm)
ISBN-13: 9781786306746