斯坦福大学-《概率图模型》全套课程

  • 名称:斯坦福大学-《概率图模型》
  • 分类:名校公开课  
  • 观看人数:加载中
  • 时间:2020/8/14 21:48:29

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

斯坦福大学-《概率图模型》全套课程