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CMU 10-708: Probabilistic Graphical Models

课程简介

  • 所属大学：CMU
  • 先修要求：Machine Learning, Deep Learning, Reinforcement Learning
  • 课程难度：🌟🌟🌟🌟🌟
  • 课程网站：https://sailinglab.github.io/pgm-spring-2019/
    • 这个网站包含了所有的资源：slides, nots, video, homework, project

这门课程是 CMU 的图模型基础 + 进阶课，授课老师为 Eric P. Xing，涵盖了图模型基础，与神经网络的结合，在强化学习中的应用，以及非参数方法。相当硬核