Bayesian Statistics Unlocked
The advent of modern computing has revolutionized the practical application of Bayesian statistics, allowing for efficient sampling of complex probability distributions. This approach enables a more nuanced interpretation of data through outputs that are probability distributions rather than simple scalar values. The discussion highlights the flexibility of building models using a "Lego" approach, where different components can be precisely defined or left agnostic based on prior knowledge and data.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
Related Questions