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Titlebook: Data Science in Societal Applications; Concepts and Implica Siddharth Swarup Rautaray,Manjusha Pandey,Nhu Gia Book 2022 The Editor(s) (if

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,Contemporary Digital Consumers: “Real” Versus Virtual Value Co-creation,g it from co-creation occurring in the unmediated context: co-presence, automatization, simulation, antagonism and playfulness. We illustrate these traits with real-life examples. Additionally, we conceptualise how these characteristics are linked with the most important traits of modern digital consumers.
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2197-6503 data science.Covers techniques for data analytics, future r.The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial
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Book 2022ded are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications. .
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https://doi.org/10.1007/978-3-642-10701-6e only resort left with a person. It is a testing time and everyone is at war, we all are soldiers in this pandemic and our health care workers, administration, and government are trying their best to stop the spread of the disease as it has killed more than four lakh people in India only and in the
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Adaptation, Learning, and Optimizationers more efficient making the ad buying and selling experience more economical than ever. Algorithms and programs make the process of buying and placing ads very optimal, thereby removing the manual processes within these steps. With Data Science coming into the ad-space domain, how companies can co
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https://doi.org/10.1007/978-981-99-8853-2 of data science prototypes on health care but the idea of this chapter is to provide better and more accurate predictions by creating a Generic model which is said to be trained on five different datasets of various types of diseases. The multi-chronic diseases that will be predicted by the model a
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