PyMC
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What is PyMC?
PyMC is a Python library for probabilistic programming. It allows users to build Bayesian statistical models and perform Bayesian inference using Markov Chain Monte Carlo (MCMC) methods and other algorithms. PyMC is commonly used for statistical modeling, data analysis, and uncertainty quantification across various domains, including scientific research, finance, and engineering.
What other technologies are related to PyMC?
PyMC Competitor Technologies
PyMC Complementary Technologies
statsmodels
Statsmodels provides classes and functions for the estimation of many different statistical models, and can be used alongside PyMC for different aspects of statistical analysis.
scikit-learn
Scikit-learn is a general-purpose machine learning library that can be used in conjunction with PyMC for tasks like feature selection or comparing performance against Bayesian models.
Pandas
Pandas is used for data manipulation and analysis, which is a common preprocessing step before using PyMC for modeling.
Number of organizations that mention technology
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Which job functions commonly mention PyMC?
Bioinformatician
0.1% of all Bioinformatician jobs mention PyMC
View 3
jobs on Sumble
Data Scientist
0.1% of all Data Scientist jobs mention PyMC
View 224
jobs on Sumble
MLOps Engineer
0.1% of all MLOps Engineer jobs mention PyMC
View 7
jobs on Sumble
Applied Scientist
0.1% of all Applied Scientist jobs mention PyMC
View 8
jobs on Sumble
Machine Learning
37 Machine Learning jobs mention PyMC
View 37
jobs on Sumble
Which organizations are mentioning PyMC?
HelloFresh
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