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  2. Haskell - Wikipedia

    en.wikipedia.org/wiki/Haskell

    Haskell is used in academia and industry. [ 29 ] [ 30 ] [ 31 ] As of May 2021 [update] , Haskell was the 28th most popular programming language by Google searches for tutorials, [ 32 ] and made up less than 1% of active users on the GitHub source code repository.

  3. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform.

  4. Portal:Computer programming - Wikipedia

    en.wikipedia.org/wiki/Portal:Computer_programming

    Haskell (/ ˈ h æ s k əl /) is a general-purpose, statically typed, purely functional programming language with type inference and lazy evaluation.Designed for teaching, research, and industrial applications, Haskell pioneered several programming language features such as type classes, which enable type-safe operator overloading, and monadic input/output (IO).

  5. Marketing and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Marketing_and_artificial...

    Marketing is a complex field of decision making which involves a large degree of both judgment and intuition on behalf of the marketer. [10] The enormous increase in complexity that the individual decision-maker faces renders the decision-making process almost an impossible task. The marketing decision engine can help distill the noise.

  6. Marketing decision support system - Wikipedia

    en.wikipedia.org/wiki/Marketing_decision_support...

    The system is used to help businesses explore different scenarios by manipulating already collected data from past events. It consists of information technology, marketing data, systems tools, and modeling capabilities that enable it to provide predicted outcomes from different scenarios and marketing strategies.

  7. Industrial big data - Wikipedia

    en.wikipedia.org/wiki/Industrial_Big_Data

    Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]

  8. Artificial intelligence in industry - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...

  9. Techno-economic assessment - Wikipedia

    en.wikipedia.org/wiki/Techno-economic_assessment

    Techno-economic assessment or techno-economic analysis (abbreviated TEA) is a method of analyzing the economic performance of an industrial process, product, or service. The methodology originates from earlier work on combining technical, economic and risk assessments for chemical production processes. [ 1 ]