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!!
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).
创建者 Boxiao M•
The lecture was a bit too compact and unsystematic. However, if you also do a lot of reading of the textbook, you can learn a lot. Besides, the Quiz and Programming task are of high qualities.
创建者 Shawn C•
The course is great with plenty of knowledge. A little defect is about description about assignment. As the forum discussed, several quizzes may confusing.
创建者 Shane C•
concepts in the videos are well presented. additional readings from the textbook are helpful to cement concepts not explained as thoroughly in the videos
创建者 Hilmi E•
I really enjoyed attending this course. It is foundational material for anyone who wants to use graphical models for inference and decision making..
创建者 Nimo F B•
Great content and easy to pick up. Only issue was with downloaded Octave software. Does not work, despite multiple downloads on different machines
创建者 Roman S•
A good introduction to PGM, from very basic concepts to some move in-depth features. A big disadvantage is Matlab/Octave programming assignments.
创建者 Serge S•
Thanks to this course, Probabilistic Graphical Models are not anymore an esoteric subject! I am really looking for the second part of the course.
创建者 Jack A•
The class was very exciting and challenging, but I felt the programming assignments weren't dependent on understanding the classwork at all.
创建者 Francois L•
Really interesting contents but it would be great to have the exercises in a more up to date programming environment (python for instance)
创建者 Gorazd H R•
A very demanding course with some glitches in lectures and materials. The topic itself is very interesting, educational and useful.
创建者 Ashwin P•
Great material. Course mentors are nowhere to be found and some of the problems are hard, so I'd have liked to see some guidance.
创建者 Forest R•
Excellent introduction into probabilistic graph models. Introduced me to Baysian analysis and is quite helpful for my work.
创建者 Иван М•
Great course, would be nicer if exercises were in Python or R and if software from first honours task worked on Mac.
创建者 Xiaojie Z•
Some interesting knowledges about PCM, but I think I need more detailed information in the succeeding courses.
创建者 Luiz C•
Good course, quite complex, wish some better quality slides, and more quizzes to help understand the theory
创建者 Saurabh N•
The coding assignments can be compulsory too.
Maybe not as vast, but maybe interleaved with the quizzes
创建者 Werner N•
Very good course. It should contain more practical examples to make the material better to understand.
创建者 Haitham S•
Great course, however, the honors track assignments are a bit too tedious and take lots of time.
创建者 Kevin W•
The course is pretty good. I love the way that the professor led us into the graphical models.
创建者 Péter D•
great job, although the last PA is a huge pain / difficulty spike - more hints would be nice
创建者 Andres P N•
There are many error in the implementations for octave. Aside from that, the course is fine
创建者 Ahmad E•
Covers some material a little too quickly, but overall a good and entertaining course.
创建者 Soteris S•
A bit more challenging than I thought but very useful, and very well structured
Great and well paced content.
Quizzes really helps nailing the tricky points.
创建者 Caio A M M•
Instructor is engaging in her delivery. Topic is interesting but difficult.