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cs-self-learning/docs/机器学习进阶/CMU10-708.md
Yinmin Zhong af9526f8c2
[Translation] Finish all the remaining translation (#544) 
* GFW translation

* translate usage

* [FIX] Fix giscus plugin (#543)

* [Translate] translate CS188/Docker/GUN_Make (#540)

* complete eng_version for deep learning folder

* fix typo

* add english version for machine learning systems

* Update AICS.en.md

Adjust indentation

* [ADD]add translation for CS188

* [ADD]add translation for Docker

* [UPDATE]update file name

* [ADD]add translation for GNU_Make

* [FIX]fix typo

* [FIX]fix spacing error

* translate github

* translate thesis writing

* translate tools

* translate NJUOS

* translate CS122

* translate CS346

* translate 15799

* translate CS148

* translate games101

* translate games202

* translate games103

* translate advanced ML

* translate CS plan

* nits

* translate scoop

* translate CA

* translate information retrieval

* translate Decal && AUT

* translate workflow

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Co-authored-by: nzomi <jly14@tsinghua.org.cn>
2023-12-16 12:15:13 +08:00

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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/
  • 课程网站包含了所有的资源：slides, notes, video, homework, and 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。