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  2. Ray Solomonoff - Wikipedia

    en.wikipedia.org/wiki/Ray_Solomonoff

    Ray Solomonoff (July 25, 1926 – December 7, 2009) [1] [2] was an American mathematician who invented algorithmic probability, [3] his General Theory of Inductive Inference (also known as Universal Inductive Inference), [4] and was a founder of algorithmic information theory. [5]

  3. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.

  4. Algorithmic probability - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_probability

    It was invented by Ray Solomonoff in the 1960s. [2] It is used in inductive inference theory and analyses of algorithms. In his general theory of inductive inference , Solomonoff uses the method together with Bayes' rule to obtain probabilities of prediction for an algorithm's future outputs.

  5. Timeline of programming languages - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_programming...

    Short Code 1951 Boehm unnamed coding system Corrado Böhm: CPC Coding scheme 1951 Klammerausdrücke Konrad Zuse: Plankalkül 1951 Stanislaus (Notation) Fritz Bauer: none (unique language) 1951 Sort Merge Generator: Betty Holberton: none (unique language) 1952 Short Code (for UNIVAC II) Albert B. Tonik, [2] J. R. Logan Short Code (for UNIVAC I ...

  6. Python (programming language) - Wikipedia

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

    Unless semantics of Python are changed, but in many cases speedup is possible with few or no changes in the Python code. The faster Julia source code can then be used from Python, or compiled to machine code, and based that way. Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported ...

  7. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]

  8. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    In his book Statistics as Principled Argument, Robert P. Abelson presents the perspective that statistics serve as a standardized method for resolving disagreements among scientists, who could otherwise engage in endless debates about the merits of their respective positions. From this standpoint, statistics can be seen as a form of rhetoric.

  9. 4 - Wikipedia

    en.wikipedia.org/wiki/4

    Codes for regional variants of Chinese are congruent to 4 mod 256. Credit card machines have four-twelve function keys. On most phones, the 4 key is associated with the letters G, H, and I, [85] but on the BlackBerry Pearl, it is the key for D and F. On many computer keyboards, the "4" key may also be used to type the dollar sign ($) if the ...

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