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    • TVS.000409_Data analysis.pdf.jpg
    • Sách/Book

    • Data analysis

      • Authors: - (-)

    • This programme includes a summary of that process and explores specific areas of data analysis that might be applicable to learners studying at undergraduate and post graduate levels. It aims to provide a definition of qualitative and quantitative data analysis and opportunities to explore photographic, video, textual and numerical data analysis through providing worked examples and further opportunities for learners to develop knowledge and skills in data analysis. The programme also aims to support the development of critical appraisal skills, thorough considering the critical review of research papers. The aims are achieved through captialising on the interactive opportunities of o...
    • TVS.003295_TT_Financial Statistics and Data Analytics-MDPI AG (2021).pdf.jpg
    • Sách/Book

    • Financial Statistics and Data Analytics

      • Authors: Li, Shuangzhe (2021)

    • It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.
    • TVS.005080_TT_Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli - Predictive Analytics in Cloud, Fog, and Edge Comp.pdf.jpg
    • Sách/Book

    • Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G

      • Authors: Thakkar, Hiren Kumar (2023)

    • The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.