Applied Modeling Techniques and Data Analysis 2

Financial, Demographic, Stochastic and Statistical Models and Methods de

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Éditeur :

Wiley-ISTE


Paru le : 2021-04-13

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Description
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 2 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.
Pages
288 pages
Collection
n.c
Parution
2021-04-13
Marque
Wiley-ISTE
EAN papier
9781786306746
EAN PDF
9781119821632

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
8684 Ko
Prix
163,47 €
EAN EPUB
9781119821625

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
6216 Ko
Prix
163,47 €

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