Computational Revolution
The conversation highlights the evolution of computational tools, particularly the advancements in PIMC, which now supports multiple backends like JAX for significant speed improvements. With the ability to handle massive models with hundreds of thousands of parameters, the potential for real-world applications is immense, allowing for complex analyses to be completed in under an hour. This marks a pivotal shift from small-scale toy problems to tackling large data challenges effectively.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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