Jul 13, 2017
Prof. Koller did a great job communicating difficult material in an accessible manner. Thanks to her for starting Coursera and offering this advanced course so that we can all learn...Kudos!!
Oct 23, 2017
The course was deep, and well-taught. This is not a spoon-feeding course like some others. The only downside were some "mechanical" problems (e.g. code submission didn't work for me).
por Luiz C•
Jun 26, 2018
Good course, quite complex, wish some better quality slides, and more quizzes to help understand the theory
por Werner N•
Dec 28, 2016
Very good course. It should contain more practical examples to make the material better to understand.
por Haitham S•
Nov 24, 2016
Great course, however, the honors track assignments are a bit too tedious and take lots of time.
por Kevin W•
Jan 17, 2017
The course is pretty good. I love the way that the professor led us into the graphical models.
por Péter D•
Oct 29, 2017
great job, although the last PA is a huge pain / difficulty spike - more hints would be nice
por Andres P N•
Jun 27, 2018
There are many error in the implementations for octave. Aside from that, the course is fine
por Ahmad E•
Aug 20, 2017
Covers some material a little too quickly, but overall a good and entertaining course.
por Soteris S•
Nov 27, 2017
A bit more challenging than I thought but very useful, and very well structured
Oct 04, 2016
Great and well paced content.
Quizzes really helps nailing the tricky points.
por Caio A M M•
Dec 03, 2016
Instructor is engaging in her delivery. Topic is interesting but difficult.
por Michael B•
Dec 12, 2019
Honors seems like a must to full instill concepts/implementation
por Anshuman S•
May 08, 2019
I would recommend adding some supplemental reading material.
por Jhonatan d S O•
May 25, 2017
Rich content and useful tools for applying in real problems
por Alberto C•
Dec 01, 2017
Theory: Very interesting. Assignments: not so useful.
por Yuanduo H•
Jan 20, 2020
Five stars minus the week 4 coding homework
por Arthur B•
Jan 08, 2017
More feedback from TA would be appreciated
por Myoungsu C•
Dec 26, 2018
Writing on the ppt is not clear to see.
por Soumyadipta D•
Jul 16, 2019
lectures are too fast otherwise great
por Sunsik K•
Jul 31, 2018
Broad introduction to general issues
por Tianyi X•
Feb 20, 2018
Lack of top-down review of the PGM.
Sep 12, 2017
Great intro to probabilistic models
por Nikesh B•
Nov 06, 2016
Jun 20, 2019
por Yashwanth M•
Jan 05, 2020
por Paul C•
Oct 31, 2016
I found plenty of useful information in this course overall but lectures often spent too much time dwelling on the detail of simpler concepts while more complex areas, and sometimes critical information that was later built upon, were only touched briefly or sometimes skipped entirely. I missed a sense of continuity as we skipped from model to model with a minimum of time spent on how the models complement each other and their relative strengths and weaknesses in application.
The way data structures were defined in the code was particularly difficult to deal with. The coding exercises all suffered as a result. It ended up taking way too much time to figure how to decode the data and trace logic around it. This meant that grasping concepts and learning from the questions came in a distant second priority to debugging.
Dr Koller mentioned that the material is aimed at postgraduates. I felt that the level of content covered here would just as easily be grasped by most undergraduates in technical disciplines if it had been delivered in a more structured manner with clearer progression across models (conceptually and mathematically) and better code examples. When delivering in this format, allowances need to be made for the facts that tutorial sessions do not exist and the possibilities for informal Q&A are limited so any gaps become very difficult for students to fill in themselves.
Despite the above shortcomings I'm glad I did the course and I would still recommend it to someone interested in graphical models as it does cover the basics well enough to make a decent start. I'm not sure whether or not I'd recommend the programming exercises as they are a significant time sink but at the same time, without spending time attacking the programming problems the concepts are not likely to gel based on the video and quizzes alone.