19min chapter

Learning Bayesian Statistics cover image

#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast

Learning Bayesian Statistics

CHAPTER

Advancements in Bayesian Statistics and Modeling

This chapter explores the complexities and efficiencies of Bayesian statistics, focusing on the use of PyMC for enhanced performance through GPU acceleration. It highlights the role of the PyMC Labs team in practical applications, including a significant project for an NGO in Estonia that uses polling data to gain insights into societal trends. The discussion also covers hierarchical modeling techniques and the introduction of tools like RViz to improve workflows in Bayesian statistical analysis.

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