Information about Test

  1. Analytics

    analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most

  2. Computer science

    emphasizes real-world applications. Programming language theory considers approaches to the description of computational processes, while software engineering

  3. R (programming language)

    Revolution Analytics. 14 January 2009. Retrieved 20 September 2018. Sirosh, Joseph. "Microsoft Closes Acquisition of Revolution Analytics". blogs.technet

  4. Computational biology

    Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation

  5. Computational linguistics

    from a computational perspective, as well as the study of appropriate computational approaches to linguistic questions. Traditionally, computational linguistics

  6. Computational mechanics

    Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics.

  7. Portable Format for Analytics

    needed] PFA provides a way for analytic applications to describe and exchange predictive models produced by analytics and machine learning algorithms

  8. Theoretical computer science

    cryptography, program semantics and verification, machine learning, computational biology, computational economics, computational geometry, and computational number

  9. List of statistical software

    for R Revolution Analytics – production-grade software for the enterprise big data analytics RStudio – GUI interface and development environment for R

  10. Learning analytics

    argued that computational aspects of learning analytics need to be linked with the existing educational research in order for Learning Analytics to deliver