A tutorial on how to handle prediction uncertainty in production systems, by using Bayesian inference and probabilistic programs

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/datascienceproject

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  • GitHub repo bodywork

    ML pipeline orchestration and model deployments on Kubernetes, made really easy.

    how to deploy it to Kuberentes using Bodywork.

  • GitHub repo bodywork-pymc3-project

    Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

    All of the code is hosted in a GitHub repo, that you can use as a template for your own projects.

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    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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