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    Build Agents and Models on One Platform

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  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

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    PyMC3

    PyMC3

    Probabilistic programming in Python

    PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable...
    Downloads: 1 This Week
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