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).
par 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.
par 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.
par Jack A
•The class was very exciting and challenging, but I felt the programming assignments weren't dependent on understanding the classwork at all.
par 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)
par Gorazd H R
•A very demanding course with some glitches in lectures and materials. The topic itself is very interesting, educational and useful.
par 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.
par Forest R
•Excellent introduction into probabilistic graph models. Introduced me to Baysian analysis and is quite helpful for my work.
par Иван М
•Great course, would be nicer if exercises were in Python or R and if software from first honours task worked on Mac.
par Victor Z
•Some interesting knowledges about PCM, but I think I need more detailed information in the succeeding courses.
par Luiz C
•Good course, quite complex, wish some better quality slides, and more quizzes to help understand the theory
par Saurabh N
•The coding assignments can be compulsory too.
Maybe not as vast, but maybe interleaved with the quizzes
par Werner N
•Very good course. It should contain more practical examples to make the material better to understand.
par Haitham S
•Great course, however, the honors track assignments are a bit too tedious and take lots of time.
par Kevin W
•The course is pretty good. I love the way that the professor led us into the graphical models.
par Péter D
•great job, although the last PA is a huge pain / difficulty spike - more hints would be nice
par Andres P N
•There are many error in the implementations for octave. Aside from that, the course is fine
par Ahmad E
•Covers some material a little too quickly, but overall a good and entertaining course.
par Soteris S
•A bit more challenging than I thought but very useful, and very well structured
par mathieu.zaradzki@gmail.com
•Great and well paced content.
Quizzes really helps nailing the tricky points.
par Caio A M M
•Instructor is engaging in her delivery. Topic is interesting but difficult.
par Michael B
•Honors seems like a must to full instill concepts/implementation
par Anshuman S
•I would recommend adding some supplemental reading material.
par Jhonatan d S O
•Rich content and useful tools for applying in real problems
par Vahan A
•Please, provide programming assignments on Python or C++
par Alberto C
•Theory: Very interesting. Assignments: not so useful.