Comparing Bayesian Libraries
The discussion highlights the differences between PyMC and Stan, two prominent libraries for Bayesian statistics. While Stan has a strong academic focus and a unique language for modeling, PyMC draws significant influence from it but emphasizes a more accessible approach for Python users. The conversation also acknowledges the collaborative spirit between the two libraries, showcasing how they push the field of probabilistic programming forward.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki
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