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. Computational biology

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

  4. Computational linguistics

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

  5. R (programming language)

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

  6. Theoretical computer science

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

  7. Computational mechanics

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

  8. Big data

    tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data

  9. 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

  10. Notebook interface

    notebook interface (also called a computational notebook) is a virtual notebook environment used for literate programming. It pairs the functionality of