A conjugate prior of a certain likelihood function p\left(x | \theta\right) is a type of prior where the posterior distribution—
\begin{equation} p\left(\theta | x\right) \end{equation}
is the same probability family as the prior p\left(\theta\right). This means that updating is very easy; if we can’t do this, probabilistic programming!