Excellent course. Assignments are challenging but once you figure them out you will have a solid understanding of PGM.

Great course! It is pretty difficult - be prepared to study. Leave plenty of time before the final exam.

Plz give practical assignments in Python. Matlab is not free and not many and neither myself know Matlab.

Amazing! This is the first specialization that I have finished and it feels amazing! Daphne was amazing!

Great course, great assignments I indeed learn much from this course an the whole PGM ialization!

Awesome course... builds intuitive thinking for developing intelligent algorithms...

Excellent course. Programming assignments are excellent and extremely instructive.

Very interesting course. Several methods and algorithms are well-explained.

Tougher course than the 2 preceding ones, but definitely worthwhile.

Excellent course! Everyone interested in PGM should consider!

Had a wonderful Experience, Thank you Daphne Ma'am

Very challenging and fulfilling class!

Great course, very helpful.

Definitively worth it !

Very useful course.

Thank You for all.

Excellent!

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.

The lecturer and theoretical aspects of the course are great. The final assessment is challenging but a couple of the questions are ambiguous and imprecise - which was a little frustrating given the quality of the content of the lectures. Honours assignments are now quite dated and contain some excruciating bugs. Overall, worthwhile to take the course, but the assignments (and especially the optional content) could do with revision.

This was a very interesting specialization and beside the theoretical information in the videos I liked very much the programming assignments, which helped very much with understanding more deep the matter. The PAs were also very challenging, especially the ones in the learning part (course 3).

Difficult; requires textbook reading to complete. I could not get samiam to work so I skipped the initial PA. The PA are challenging as well but well worth it if you want to understand how to implement PGMs.

A very demanding course with some glitches in lectures and materials. The topic itself is very interesting, educational and useful.

Great course, though with the progress of ML/DL, content seems a touch outdated. Would

Octave programming assignments, instead of Python

It was a good class. I have been cruising through the 1st, 2nd and this third class of the specialization..... until the last week. The last assignment and the final exam were significantly more challenging for me that the previous ones. I had not budgeted enough time. It is fine to make the class hard..... however, I think it should have been uniformly hard..... not suddenly and unexpectedly harder at the very end, after I have invested many week-ends in this learning.