Bayesian Inference Insights
Understanding the challenges of computing integrals leads to the power of sampling from distributions to estimate expected values. Various methods, such as variational Bayesian inference, offer alternative approaches to exact inference, albeit with some trade-offs in accuracy. The evolution of software for Bayesian analysis is highlighted, reminiscing about the early reliance on WinBUGS and its limitations for users on non-Windows systems.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
SDS 507: Bayesian Statistics — with Rob Trangucci
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