A Brief Introduction to Probabilistic Graphical Models

简介：
本课程提供概率图模型的基础知识和应用技巧，涵盖贝叶斯网络、马尔可夫随机场等核心概念，适用于希望掌握复杂系统建模技术的学习者。 Probabilistic graphical models are a framework that uses graphs to represent the joint probability distribution of a set of random variables. This approach allows for efficient representation and inference in complex probabilistic systems, as described in Jordans draft on the topic. The model employs nodes to denote variables and edges to indicate conditional dependencies between them, thereby simplifying the understanding and computation involved in dealing with high-dimensional data spaces.