Machine Learning, Signal Processing, Bayesian Statistics, Editors Pick, Getting Started.
function (probability of observing the data given the parameter), P(θ|X) is the posterior distribution (belief about the parameter θ after you observe the data), and P(X) is the probability of data. The Bayesian approach is more computationally intensive than the frequentists approach, thanks to