Buy 2 get 1 free. Everything is calculated at checkout.

Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools

$49.00

Buy 2, get 1 free. Applied automatically at checkout.

Before you buy

  • Check your email at checkoutYour download link is sent to the address you enter, so make sure it's typed correctly.
  • This is a digital PDFNothing is shipped. The download link arrives by email right after payment.
  • 30-day money-back guaranteeIf the file doesn't work, we'll replace it or refund you.
Can't find the ebook you want?

Send us a photo of the cover in live chat and we'll look for it. We usually reply within 10 minutes.

About this book

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

About the Author

Yannis Dimotikalis is Assistant Professor within the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece.

Alex Karagrigoriou is Professor of Probability and Statistics, Deputy Director of Graduate Studies in Statistics and Actuarial-Financial Mathematics, and Director of the Laboratory of Statistics and Data Analysis within the Department of Statistics and Actuarial-Financial Mathematics at the University of the Aegean, Greece.

Christina Parpoula is Assistant Professor of Applied Statistics and Research Methodology within the Department of Psychology at the Panteion University of Social and Political Sciences, Greece.

Christos H. Skiadas is Former Vice-Rector at the Technical University of Crete, Greece, and founder of its Data Analysis and Forecasting Laboratory. He continues his research in ManLab, within the faculty?s Department of Production Engineering and Management.

Author Yiannis Dimotikalis (Editor), Alex Karagrigoriou (Editor), Christina Parpoula (Editor), Christos H. Skiadas (Editor)
ISBN-13 9781119821564
Publisher Wiley
Publication Date 03/30/2021
Page Count 304 pages

Book details

Format
PDF, instant download
Language
English

Why buy here

Instant

The PDF is delivered as soon as your payment clears, day or night.

Complete

The full edition, every chapter, no missing pages.

24/7

Questions about your order? Message us in live chat any time.

Secure

Encrypted checkout with all major cards and wallets.

Keep reading

You may also like