Priors and Posteriors, oh my!
In the world of Bayesian computation, we're all about updating our beliefs. Priors, posteriors, and a pinch of probabilistic magic.
But what's the difference between a prior and a posterior? Well, let me tell you. A prior is like a fancy way of saying "I think this is probably true," while a posterior is like "I'm pretty sure this is true, but not entirely convinced."
And don't even get us started on the conditional probabilities. They're like the plot twist of the Bayesian universe.
Want to know more? Check out our Naive Bayes page to learn about the classic algorithm that started it all. Or, if you're feeling brave, try the Variational Bayes page for some real computational magic.