概率编程Practical.Probabilistic.Programming

概率编程，大牛经典书籍。必看，低分分享Probabilistic programming is an exciting new field that is quickly gathering interest, moving out of the academic arena and into the world of programmers. In essence, probabilistic programming is a new way of creating models for probabilistic reason- ing, which lets you predict or infer things you don’t know from observations. Probabi- listic reasoning has long been one of the core approaches to machine learning, where you use a probabilistic model to describe what you know and learn from experience. Before probabilistic programming, probabilistic reasoning systems were limited to models with simple and fixed structures like Bayesian networks. Probabilistic pro- gramming sets probabilistic reasoning systems free from these shackles by providing the full power of programming languages to represent models. It’s analogous to mov- ing from circuits to high-level programming languages.