制作方:   Stanford University

  • Daphne Koller

    教学方:    Daphne Koller, Professor

    School of Engineering
Basic Info
LevelAdvanced
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
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授课大纲

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课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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制作方
Stanford University
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评分和审阅
已评分 4.5,总共 5 个 21 评分

Excellent course! Everyone interested in PGM should consider!

Great content. Explores the machine learning techniques with the tightest coupling of statistics with computer science. The Probabilistic Graphical Models series is one of the harder MOOCs to pass. Learners are advised to buy the book and actually read it carefully, preferably in advance of listening to the lectures. The quality of the course is generally high. The discussion is a little muddled at the very end when practical aspects of applying the EM algorithm (for learning when there is missing data) is discussed.

Great course! Very informative course videos and challenging yet rewarding programming assignments. Hope that the mentors can be more helpful in timely responding for questions.

Excellent!