Lingua: Inglese
Editore: Vanderbilt University Press, 2023
ISBN 10: 0826505775 ISBN 13: 9780826505774
Da: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.
Paperback. Condizione: As New. Text clean and tight; 8vo 8" - 9" tall; 152 pages.
hardcover. Condizione: Fine.
Lingua: Inglese
Editore: Sheffield Academic Press, London, England / New York, New York, 2002
ISBN 10: 0826460550 ISBN 13: 9780826460554
Da: Andover Books and Antiquities, Andover, MA, U.S.A.
Hardcover. Condizione: Excellent condition. Condizione sovraccoperta: dj. xvi, 344 pp. Journal for the Study of the Pseudepigrapha, Supplement Series. Number 40. Dustjacket.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloHardcover. Condizione: Brand New. 312 pages. 9.18x6.12x9.21 inches. In Stock.
Lingua: Inglese
Editore: Chapman And Hall/CRC Dez 2024, 2024
ISBN 10: 1032748915 ISBN 13: 9781032748917
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 186,20
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In providingan in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategiesincludes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results.This bookshowcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies.This book: - Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data.- Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making.- Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context.- Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions.- Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing. 292 pp. Englisch.
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In providingan in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategiesincludes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results.This bookshowcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies.This book: - Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data.- Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making.- Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context.- Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions.- Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.