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PyMC3 is a Python package for Bayesian statistical modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. [1]

19 relations: Apache License, C (programming language), Fortran, Git, GitHub, Hamiltonian Monte Carlo, IA-32, Journal of Machine Learning Research, List of statistical packages, MacOS, Markov chain Monte Carlo, Microsoft Windows, Open-source software, Python (programming language), Stan (software), Theano (software), Unix-like, Variational Bayesian methods, X86-64.

Apache License

The Apache License is a permissive free software license written by the Apache Software Foundation (ASF).

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C (programming language)

C (as in the letter ''c'') is a general-purpose, imperative computer programming language, supporting structured programming, lexical variable scope and recursion, while a static type system prevents many unintended operations.

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Fortran (formerly FORTRAN, derived from Formula Translation) is a general-purpose, compiled imperative programming language that is especially suited to numeric computation and scientific computing.

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Git is a version control system for tracking changes in computer files and coordinating work on those files among multiple people.

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GitHub Inc. is a web-based hosting service for version control using Git.

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Hamiltonian Monte Carlo

In mathematics and physics, Hamiltonian Monte Carlo algorithm (originally known as hybrid Monte Carlo), is a Markov chain Monte Carlo method for obtaining a sequence of random samples from a probability distribution for which direct sampling is difficult.

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IA-32 (short for "Intel Architecture, 32-bit", sometimes also called i386) is the 32-bit version of the x86 instruction set architecture, first implemented in the Intel 80386 microprocessors in 1985.

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Journal of Machine Learning Research

The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning.

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List of statistical packages

Statistical software are specialized computer programs for analysis in statistics and econometrics.

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macOS (previously and later) is a series of graphical operating systems developed and marketed by Apple Inc. since 2001.

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Markov chain Monte Carlo

In statistics, Markov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution.

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Microsoft Windows

Microsoft Windows is a group of several graphical operating system families, all of which are developed, marketed, and sold by Microsoft.

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Open-source software

Open-source software (OSS) is a type of computer software whose source code is released under a license in which the copyright holder grants users the rights to study, change, and distribute the software to anyone and for any purpose.

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Python (programming language)

Python is an interpreted high-level programming language for general-purpose programming.

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Stan (software)

Stan is a probabilistic programming language for statistical inference written in C++.

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Theano (software)

Theano is a numerical computation library for Python.

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A Unix-like (sometimes referred to as UN*X or *nix) operating system is one that behaves in a manner similar to a Unix system, while not necessarily conforming to or being certified to any version of the Single UNIX Specification.

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Variational Bayesian methods

Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning.

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x86-64 (also known as x64, x86_64, AMD64 and Intel 64) is the 64-bit version of the x86 instruction set.

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PyMC3 (software).


[1] https://en.wikipedia.org/wiki/PyMC3

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