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PyMC3

PyMC3

Last updated , generated by Sumble
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What is PyMC3?

PyMC3 is a probabilistic programming library for Python that allows users to build Bayesian statistical models using Python code. It uses Markov Chain Monte Carlo (MCMC) methods and other sampling algorithms to estimate the posterior distribution of model parameters given observed data. PyMC3 is commonly used for statistical modeling, Bayesian inference, uncertainty quantification, and predictive analytics in various fields like scientific research, data science, and engineering.

What other technologies are related to PyMC3?

PyMC3 Competitor Technologies

Stan is a probabilistic programming language for Bayesian inference, making it a direct competitor to PyMC3.
mentioned alongside PyMC3 in 15% (130) of relevant job posts

PyMC3 Complementary Technologies

Statsmodels offers statistical modeling tools and complements PyMC3 by providing frequentist approaches and other statistical methods.
mentioned alongside PyMC3 in 5% (94) of relevant job posts
SciPy provides fundamental scientific computing algorithms that can be utilized within PyMC3 models.
mentioned alongside PyMC3 in 1% (129) of relevant job posts
Pandas is essential for data manipulation and analysis, serving as a crucial tool for preparing data for use in PyMC3.
mentioned alongside PyMC3 in 0% (199) of relevant job posts

Which organizations are mentioning PyMC3?

Organization
Industry
Matching Teams
Matching People
PyMC3
Zoox
Scientific and Technical Services

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