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Bayesian inference and probabilistic programming

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Manage episode 378107585 series 3515392
内容由Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi提供。所有播客内容(包括剧集、图形和播客描述)均由 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Interview with Alex Andorra

Interviewing Alex Andorra about bayesian inference, probabilistic programming, and more was a pleasure.
Alex is a data scientist and modeler at the PyMC Labs consultancy. He's also an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. Alex is also a contributor and instructor in the "Intuitive Bayes Introductory Course". This self-paced course is designed for data scientists and developers, where you'll learn Bayesian modeling with code, not math.
Alex also runs the amazing "Learning Bayesian Statistics" podcast!
If you love Python and Bayesian inference, catch this episode.

  • How Alex began his path on statistical modeling and how he finds this a challenging, versatile, and creative
  • How Alex and his agency do with clients using multilevel regression and post-stratification and tracking opinion through time
  • How the community around PMYC is growing and contributing to development in an open source format
  • Alex hosts a podcast that covers a wide variety of topics, including political elections, healthcare, neuroscience, and the market
  • Alex's suggestions of what books to read and how to effectively contribute to open source projects, and stay active in the community
  • What are the benefits of joining online communities for learning
  • and more..
  • Listen to this episode now and share this with your friends and colleagues!

      continue reading

    24集单集

    Artwork
    icon分享
     
    Manage episode 378107585 series 3515392
    内容由Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi提供。所有播客内容(包括剧集、图形和播客描述)均由 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
    Interview with Alex Andorra

    Interviewing Alex Andorra about bayesian inference, probabilistic programming, and more was a pleasure.
    Alex is a data scientist and modeler at the PyMC Labs consultancy. He's also an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. Alex is also a contributor and instructor in the "Intuitive Bayes Introductory Course". This self-paced course is designed for data scientists and developers, where you'll learn Bayesian modeling with code, not math.
    Alex also runs the amazing "Learning Bayesian Statistics" podcast!
    If you love Python and Bayesian inference, catch this episode.

  • How Alex began his path on statistical modeling and how he finds this a challenging, versatile, and creative
  • How Alex and his agency do with clients using multilevel regression and post-stratification and tracking opinion through time
  • How the community around PMYC is growing and contributing to development in an open source format
  • Alex hosts a podcast that covers a wide variety of topics, including political elections, healthcare, neuroscience, and the market
  • Alex's suggestions of what books to read and how to effectively contribute to open source projects, and stay active in the community
  • What are the benefits of joining online communities for learning
  • and more..
  • Listen to this episode now and share this with your friends and colleagues!

      continue reading

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