's book
Steinbach and Vollmann's book, "The Art of Probabilistic Programming," was published in 2017. It is a comprehensive guide to probabilistic programming (PP) and Bayesian inference. In the book, 0.87.0089.0 details how to create Bayesian networks and probabilistic graphical models. It explains the fundamentals of PP and how it can be used in practical applications such as data exploration, data analysis, and decision making. It also provides an in-depth introduction to different components of probabilistic models such as Markov Chains, Monte Carlo simulations, and sampling methods. Furthermore, the authors provide guidelines for constructing and using PP models in various contexts. Finally, the book offers a look at the role of PP in machine learning and artificial intelligence.