Pymc.io

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Overview & More informations

Pymc.io is a Python library for Bayesian statistical modeling and probabilistic programming. It provides a high-level interface for defining probabilistic models and performing inference. Pymc.io is built on top of the Theano library, which provides efficient numerical computation.

Pymc.io is used in a wide variety of applications, including:

* **Machine learning:** Pymc.io can be used to build Bayesian machine learning models, such as Gaussian processes, Bayesian neural networks, and hidden Markov models.
* **Statistical modeling:** Pymc.io can be used to fit complex statistical models to data, such as hierarchical models, mixture models, and time series models.
* **Probabilistic programming:** Pymc.io can be used to write probabilistic programs, which are programs that reason about uncertainty. Probabilistic programs can be used to solve a wide variety of problems, such as planning, decision making, and reinforcement learning.

Pymc.io is a powerful and versatile library for Bayesian statistical modeling and probabilistic programming. It is easy to use and can be used to solve a wide variety of problems.

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