Search Results - "Data science"

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    Data Science Project I and Data Science Project II Presentation Day by Wan Nur Syahidah, Wan Yusoff

    Published 2023
    “…On 1st – 2nd February 2023, there are 60 students from the programme of Bachelor of Applied Science in Data Analytics with Honours who have been successfully presented their Data Science Project I.…”
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    Data science in educational assessment by Gibson, David, Webb, Mary E

    Published 2015
    “…We introduce four psychometric challenges of data science or ‘big data’ in educational assessments that are enabled by technology: 1. …”
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    Data science in educational assessment by Gibson, David, Webb, M.

    Published 2015
    “…The article discusses four measurement challenges of data science or ‘big data’ in educational assessments that are enabled by technology: 1. …”
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    Big data science issues in distributed database by Kasim, Shahreen, Azemi, Liesa, Anuar, Lidiya, Anuar, Aliah, Zainal, Kamilia, Basri, Ashikin, Omar, Nurul Aswa

    Published 2018
    “…This paper reviewed on the issues that occurs by Big Data Science such as challenges, opportunities, good practices and tools required to run Big Data Science. …”
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    Exploring the use of blockchain technology in cybersecurity and data science by Rahmat, Robaisya, Abbas, Mohd Saleh, Nordin, Mohd Norazmi, Mohd Yunus, Yusmi, Muhammad, Sufri, Ismail, Albert Feisal

    Published 2023
    “…Blockchain applications for data science are currently being investigated. This essay examines how blockchain technology is used in cybersecurity and data science.…”
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    Teaching data science and cloud computing in low and middle income countries by Shanahan, Hugh, Harrison, Andrew, May, Sean

    Published 2015
    Subjects: “…Data science; LMIC (Low and middle income countries); Cloud computing…”
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    Embedding data science innovations in organizations: a new workflow approach by Li, Keyao (Eden), Griffin, Mark, Barker, T., Prickett, Z., Hodkiewicz, M.R., Kozman, J., Chirgwin, P.

    Published 2023
    “…There have been consistent calls for more research on managing teams and embedding processes in data science innovations. Widely used frameworks (e.g., the cross-industry standard process for data mining) provide a standardized approach to data science but are limited in features such as role clarity, skills, and cross-team collaboration that are essential for developing organizational capabilities in data science. …”
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    CDS501 - Principles & Practices of Data Science & Analytics (December 2019 / January 2020) by PPSKOM, Pusat Pengajian Sains Komputer

    Published 2020
    “…First Semester Examination 2019/2020 Academic Session December 2019 / January 2020 CDS501 - Principles & Practices of Data Science & Analytics (Prinsip & Amalan Sains Data & Analitik) Duration : 2 hours (Masa : 2 jam) Please ensure that this examination paper contains SEVEN (7) printed pages before you begin the examination. …”
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    Theory-guided data science-based reservoir prediction of a North Sea oil field by Downton, Jon, Collet, Olivia, Colwell, Tanya, Hampson, Dan

    Published 2020
    “…Data science-based methods, such as supervised neural networks, provide powerful techniques to predict reservoir properties from seismic and well data without the aid of a theoretical model. …”
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    Impact of experimenting computational statistics for data science in introductory statistics course: a Malaysian perspective by Gopal, Kathiresan, Salim, Nur Raidah, Mohd Ayub, Ahmad Fauzi

    Published 2020
    “…As the backbone of modern data science, computational statistics is deemed to revamp the learning of statistics to a large extent. …”
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