585: PyMC for Bayesian Statistics in Python
Super Data Science: ML & AI Podcast with Jon Krohn
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Evolution of PyMC and Bayesian Statistics in Python
The chapter delves into the development and evolution of the PyMC library in Python for Bayesian statistics, highlighting its unique features and upcoming advancements in PyMC 4.0. It discusses the computational revolution shaping tools like PyMC and the comparison to other libraries such as Stan, showcasing PyMC's ability to handle large-scale models efficiently. The conversation also explores the intersection of PyMC with machine learning, the growing interest from companies in Bayesian modeling services, and the importance of commercial support for open source projects.
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