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  2. Anchor modeling - Wikipedia

    en.wikipedia.org/wiki/Anchor_Modeling

    Points or intervals of time not directly related to the domain being modeled, such as the points of time information entered the database, are handled through the use of metadata in anchor modeling, rather than any of the above-mentioned constructs. If information about such changes to the database needs to be kept then bitemporal anchor ...

  3. List of programming languages for artificial intelligence

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

    Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [ 2 ] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python's design and philosophy have influenced many other programming languages: Boo uses indentation, a similar syntax, and a similar object model. [235] Cobra uses indentation and a similar syntax, and its Acknowledgements document lists Python first among languages that influenced it. [236]

  5. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  6. PyMC - Wikipedia

    en.wikipedia.org/wiki/PyMC

    PyMC (formerly known as PyMC3) is a probabilistic programming language written in Python. It can be used for Bayesian statistical modeling and probabilistic machine learning. PyMC performs inference based on advanced Markov chain Monte Carlo and/or variational fitting algorithms.

  7. Pyomo - Wikipedia

    en.wikipedia.org/wiki/Pyomo

    Pyomo allows users to formulate optimization problems in Python in a manner that is similar to the notation commonly used in mathematical optimization. Pyomo supports an object-oriented style of formulating optimization models, which are defined with a variety of modeling components: sets, scalar and multidimensional parameters, decision variables, objectives, constraints, equations ...

  8. YAML - Wikipedia

    en.wikipedia.org/wiki/YAML

    YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).

  9. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for numeric processing. Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an ...

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