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.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: