Titlebook: Data Analytics and Machine Learning; Navigating the Big D Pushpa Singh,Asha Rani Mishra,Payal Garg Book 2024 The Editor(s) (if applicable)

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Convergence of Data Analytics, Big Data, and Machine Learning: Applications, Challenges, and Futureking through data-driven insights. The third element of the equation, machine learning, emerges as a crucial enabler of automation and intelligence. We highlight its use in customization, fraud detection, and healthcare diagnostics through fascinating real-world examples, highlighting its disruptive

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Business Transformation Using Big Data Analytics and Machine Learning,tion with big data analytics (BDA) to pursuit digital platforms for business model innovation and dynamics. Additionally, a thorough assessment of the literature has been provided with an emphasis on the necessity of business transformation, the function of BDA, and the role of AI. One particular ca

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Citizens and Democracy in Europees for the precision yield, and irrigation needs by looking at different parameters like climatic conditions, soil type, and previous crops grown in the field. The accuracy of algorithms comes out to be more than 90% depending on some uncertainties in the collection of data from different sensors. T

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https://doi.org/10.1007/978-3-319-68960-9. The focal point of this chapter revolves around deep learning-based methods for image SR. Convolutional Neural Networks (CNNs) have revolutionized the field, presenting unprecedented capabilities in producing high-quality super-resolved images. The chapter elaborates on popular CNN architectures f

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