ISBN: 9781786306739 - Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools (15 results)

Applied Modeling Techniques and Data Analysis : Computational Data Analysis Methods and Tools
Dimotikalis, Yannis (EDT); Karagrigoriou, Alex (EDT); Parpoula, Christina (EDT); Skiadas, Christos H. (EDT)
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Applied Modeling Techniques and Data Analysis : Computational Data Analysis Methods and Tools
Dimotikalis, Yannis (EDT); Karagrigoriou, Alex (EDT); Parpoula, Christina (EDT); Skiadas, Christos H. (EDT)
- Hardcover
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Applied Modeling Techniques and Data Analysis : Computational Data Analysis Methods and Tools
Dimotikalis, Yannis (EDT); Karagrigoriou, Alex (EDT); Parpoula, Christina (EDT); Skiadas, Christos H. (EDT)
- Hardcover
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Applied Modeling Techniques and Data Analysis : Computational Data Analysis Methods and Tools
Dimotikalis, Yannis (EDT); Karagrigoriou, Alex (EDT); Parpoula, Christina (EDT); Skiadas, Christos H. (EDT)
- Hardcover
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Language: English
Published by ISTE Ltd and John Wiley and Sons Inc, GB, 2021
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Hardback. Condition: New. 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.…

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Condition: New. 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 Stati.

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Hardcover. Condition: Brand New. 292 pages. 9.45x6.42x0.87 inches. In Stock.

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Buch. Condition: Neu. Neuware - BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData 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.…

Language: English
Published by ISTE Ltd and John Wiley and Sons Inc, GB, 2021
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Hardback. Condition: New. 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.…

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