cs-self-learning/docs/机器学习进阶/CMU10-708.md
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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