ST
Jul 12, 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!!
CM
Oct 22, 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).
By Christopher M P
•Jan 16, 2020
Simply excellent. A wonderful course to begin the representation of PGM. Be advised.... this can get quite advanced. It's all about that Bayes, 'bout that Bayes.... no trouble.
By Christopher B
•Jul 17, 2017
learned a lot. lectures were easy to follow and the textbook was able to more fully explain things when I needed it. looking forward to the next course in the series.
By Anthony L
•Jul 20, 2019
Some parts are challenging enough in the PAs, if you are familiar with Matlab this course is a great opportunity to get familiar with PGMs and learn to handle these.
By ChrisLJ
•Mar 25, 2020
really great course! very clear and logical structure. I completed a graphical models course as part of my master's degree, and this really helped to consolidate it
By Prasid S
•Dec 7, 2016
Very well designed. There were areas here I struggled with the technical details and had to read up a lot to understand. The assignments are very well designed.
By Al F
•Mar 19, 2018
Excellent Course. Very Deep Material. I purchased the Text Book to allow for a deeper understanding and it made the course so much easier. Highly recommended
By John P
•Jun 16, 2022
A comprehensive introduction and review of how to represent joint probability distributions as graphs and basic causal reasoning and decision making.
By Vivek G
•Apr 27, 2019
Great course. some programming assignments are tough (not too nicely worded and automatic grader can be a bit annoying) but all in all, great course
By Sureerat R
•Mar 2, 2018
This subject covered in this course is very helpful for me who interested in inference methods, machine learning, computer vision, and optimization.
By Angel G G
•Dec 12, 2019
Great course, I miss some programming assignments (I didn't do the "honors"), but the quizzes are already good to test your general understanding.
By Ayush T
•Aug 23, 2019
This course is really good. It is well organized and taught in the best way which really helped me to implement similar ideas for my projects.
By Valeriy Z
•Nov 13, 2017
This course gives a solid basis for the understanding of PGMs. Don't take it too fast. It takes some time to get used to all the concepts.
By Mulang' O
•Mar 31, 2019
I found well structured contend of these rare probabilistic methods (Actually this is the only reasonable course in this approach online)
By Singhi K
•Aug 1, 2017
Not as rigorous as the book, but very good. However, Octave should not be be necessary and is a road block to completing assignments.
By Karam D
•Apr 3, 2017
One of the best courses which i visited.
The explanation was so simple and there were many examples which were so helpful for me
By ALBERTO O A
•Oct 16, 2018
Really well structured course. The contents are complemented with the book. It is a time consuming course. Totally enjoyed!
By Mike P
•Jul 30, 2019
An excellent course, Daphne is one of the top people to be teaching this topic and does an excellent job in presentation.
By Pathirage D
•May 29, 2021
one of the best course I have ever followed. by all means it gave thorough understanding of every topic the introduced.
By Matt M
•Oct 22, 2016
Very interesting and challenging course. Now hoping to apply some of the techniques to my Data Science work.
By Samuel B
•Mar 13, 2021
Great course. Lectures gives us good intuition on definitions and results. Programming assignments are fun.
By Anton K
•May 7, 2018
This was my first experience with Coursera! Thanks prof. Daphne Koller for this course and Coursera at all.
By Kelvin L
•Aug 11, 2017
I guess this is probably the most challenging one in the Coursera. Really Hard but really rewarding course!
By 杨涛
•Mar 27, 2019
I think this course is quite useful for my own research, thanks Cousera for providing such a great course.
By HARDIAN L
•Jun 23, 2018
Even though this is the most difficult course I have ever taken in Coursera, I really enjoyed the process.
By Satish P
•Jul 12, 2020
A fantastic course and quite insightful. Require a strong grounding in probability theory to complete it.