Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees of probability to conclusions and make it possible to forecast future events like sales trends, computer system failures, experimental outcomes, and other critical concerns.

"Practical Probabilistic Programming" explains how to use the PP paradigm to model application...