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"This book presents various research works and case studies related to the building and use of applied models for problem solving"-- Provided by publisher.
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Dr. Shalin Hai-Jew works as a case manager for Sedgwick County. Prior, she has worked for many years in higher education, as a grant writer, instructional designer, instructor, and other roles. She has B.A.s in English and psychology from the University of Washington (Seattle), a master's in English (UW), and an Ed.D. in Educational Leadership from Seattle University, where she was a Morford Scholar. She tested into the University of Washington at age 14. She has lived and worked abroad for four years. She has edited several dozen nonfiction texts around the topics of education and technologies, among others. She has researched and written a dozen edited texts. She was born in Huntsville, Alabama, in the U.S.
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Building Applied Models for Problem Solving
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Building Applied Models for Problem Solving
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Building Applied Models for Problem Solving (Paperback)
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Paperback. Condición: new. Paperback. Applied modeling understands, analyzes, and solves real-world problems across diverse domains like economics, engineering, public health, and environmental science. By transforming complex data into structured, quantitative representations, applied models enable decision-makers to test hypotheses, forecast outcomes, and evaluate the impacts of scenarios. These models integrate theory with empirical data to offer practical solutions. Whether through statistical tools, simulations, optimization techniques, or machine learning algorithms, applied models bridge the gap between abstract theory and actionable insight. In a data-driven world, building effective applied models is essential for innovation, strategic planning, and sustainable problem solving. Building Applied Models for Problem Solving explores how applied models are developed and utilized to address complex, real-world problems by translating theoretical frameworks into practical, data-driven solutions. It examines the methodologies, tools, and interdisciplinary approaches involved in constructing models that inform decision-making and optimize outcomes in various fields. This book covers topics such as data science, research methods, and software development, and is a useful resource for educators, business owners, engineers, academicians, researchers, and data scientists. "This book presents various research works and case studies related to the building and use of applied models for problem solving"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337333021
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Building Applied Models for Problem Solving
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Taschenbuch. Condición: Neu. Building Applied Models for Problem Solving | Shalin Hai-Jew | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337333021 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134494788
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Building Applied Models for Problem Solving
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Applied modeling understands, analyzes, and solves real-world problems across diverse domains like economics, engineering, public health, and environmental science. By transforming complex data into structured, quantitative representations, applied models enable decision-makers to test hypotheses, forecast outcomes, and evaluate the impacts of scenarios. These models integrate theory with empirical data to offer practical solutions. Whether through statistical tools, simulations, optimization techniques, or machine learning algorithms, applied models bridge the gap between abstract theory and actionable insight. In a data-driven world, building effective applied models is essential for innovation, strategic planning, and sustainable problem solving. Building Applied Models for Problem Solving explores how applied models are developed and utilized to address complex, real-world problems by translating theoretical frameworks into practical, data-driven solutions. It examines the methodologies, tools, and interdisciplinary approaches involved in constructing models that inform decision-making and optimize outcomes in various fields. This book covers topics such as data science, research methods, and software development, and is a useful resource for educators, business owners, engineers, academicians, researchers, and data scientists. Nº de ref. del artículo: 9798337333021
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