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Data-Driven Applications for Emerging Technologies
Data-Driven Applications for Emerging Technologies
Data-Driven Applications for Emerging Technologies
Data-Driven Applications for Emerging Technologies
Data-Driven Applications for Emerging Technologies

Data-Driven Applications for Emerging Technologies

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Data-Driven Applications for Emerging TechnologiesAuthor(s): Nazmul Siddique, Mohammad Shamsul Arefin, Ahmed Wasif Reza, Aminul Haque\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781032996936, 978-1032996936\nSynopsis\nData-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.\n\nEach chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.\n.

Data-Driven Applications for Emerging Technologies

Data-Driven Applications for Emerging TechnologiesAuthor(s): Nazmul Siddique, Mohammad Shamsul Arefin, Ahmed Wasif Reza, Aminul Haque\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781032996936, 978-1032996936\nSynopsis\nData-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.\n\nEach chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.\n.

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