Data Analysis and Related Applications, Volume 5 - Models, Methods and Techniques (ebok) av -
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Yiannis Dimotikalis (redaktør) , Christos H. Skiadas (redaktør)

Data Analysis and Related Applications, Volume 5 ebok

1773,-
This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. Data Analysis and Related Applications 5 represents a cross-section of current concerns and research inter…
This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been 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.
Ebok 1773,-

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Undertittel Models, Methods and Techniques
Forfattere Yiannis Dimotikalis (redaktør), Christos H. Skiadas (redaktør)
Forlag Wiley-ISTE
Utgitt 30.07.2026
Sjanger Dokumentar og fakta
Språk English
Format epub
DRM-beskyttelse LCP
ISBN 9781394401598

This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been 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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