Applied Modeling Techniques And Data Analysis

Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools, Volume 7 eBooks & eLearning

Posted by AvaxGenius at Feb. 26, 2023

Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools, Volume 7 by Yiannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H Skiadas
English | PDF(True) | 2021 | 283 Pages | ISBN : 1786306735 | 11.15 MB

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.

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Applied Modeling Techniques and Data Analysis 2 eBooks & eLearning

Posted by hill0 at Aug. 24, 2022

Applied Modeling Techniques and Data Analysis 2:
Financial, Demographic, Stochastic and Statistical Models and Methods
English | 2021 | ISBN: 1786306743 | 275 Pages | PDF | 8 MB

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Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools, Vol 7 eBooks & eLearning

Posted by hill0 at Oct. 15, 2021

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Empirical Modeling and Data Analysis for Engineers and Applied Scientists (Repost) eBooks & eLearning

Posted by AvaxGenius at April 30, 2021

Empirical Modeling and Data Analysis for Engineers and Applied Scientists By Scott A. Pardo
English | PDF | 2016 | 255 Pages | ISBN : 3319327674 | 11.8 MB

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions.
While science is about discovery, the primary paradigm of engineering and "applied science" is design.

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Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning eBooks & eLearning

Posted by AvaxGenius at May 30, 2020

This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones.

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