Choudhury t k (76 resultados)

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Softcover. Condición: Very Good with no dust jacket. One exlibrary stamp, on front of publication. Sound binding. Clean, tanned pages. Wrappers have general light handling wear including crease at top front corner. Contens: Agriculture in planning for welfare (editorial). Sen, Studies in agricultural economics. Banerjee, I. A regional survey on cost of paddy cultivation. Kar and Desarkar, Investigation on the physiology of fibre growth in jute (Corchorus). II. Variations in the growth of fibre in relation to other growth components in D154 (capsularis) & Chinsura Green (olitorius). Bose, Effects of nitrogen, phosphorus, & potassium on growth yield and oil content of mustard (Brassica juncea Hook f. & Thoms.). Datta, Comparative studies on the rates of the pollen tube growth of the two cultivated jute species (Corchorus olitorius Linn.) in vitro. Chattopadhyay and Chakrabarti, Effects of methods of cultivation on the incidence of "Brown spot" diseases in Aus paddy. Choudhury, Insecticide for "White Fly" in pested sugarcane: a report of some analytical observations. Ex-Library; 9.75" tall; 60 pages.…

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. In providing an 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 Strategies includes 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 book showcases 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.…

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Paperback. Condición: New. In providing an 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 Strategies includes 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 book showcases 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.…

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Condición: New. 2026. 1st Edition. paperback. . . . . .

Condición: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

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Paperback. Condición: Brand New. 290 pages. 6.14x0.66x9.21 inches. In Stock.

Condición: New. Dr. Hemachandran Kannan is a professor in the department of Artificial Intelligence &amp Business Analytics at School of Business, Woxsen University, India and holds the Zita Zoltay Paprika of Decision Sciences and Business Economics and Course5i.

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Paperback. Condición: New. In providing an 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 Strategies includes 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 book showcases 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.…