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The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data;
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, and software and data acquisition. It describes mathematical models of the mechanical, electrical, and fluid subsystems that comprise many;
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to interpret data. Presents an overview of existing models Discusses various modeling tools, including common simulators Reviews the math;
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This book delves into the fundamentals of SAP BW based on SAP HANA Advanced Data Store Objects (aDSOs). Explore the various aDSO types and;
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stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database;
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Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques;
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sciences, mathematics, neurophysiology, and anatomy. Topics include fundamentals of data acquisition, mapping, and post-processing; source modeling;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;
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Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain;
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analyze physiological data, and researchers interested in physiological modeling.;
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simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven;
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Advanced Approaches in Turbulence: Theory, Modeling, Simulation and Data Analysis for Turbulent Flows focuses on the updated theory;
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This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for;
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This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for;
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. It not only covers recent methods and models but also uses real test data to prove their reliability.;
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. It not only covers recent methods and models but also uses real test data to prove their reliability.;
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Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;
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Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;
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data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential;
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technology it covers content based video retrieval, B4G wierless communication systems and their application, data fusion and pattern recognition. It;
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data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports;
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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;
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Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain;
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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;
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Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge;
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qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global;
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