What priors should I use for my parameters?
How do I fit a Bayesian model when I have so much data?
How do I diagnose and debug what's wrong with my Bayesian model?
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When people are amazed by the speed of progress in AI, it's worth highlighting lots of this is enabled by high-quality open-source implementations that make experimentation quick and cheap.
