Probabilistic Graphical Models 3: Learning, Stanford University
About this Course
Top reviews
By LL
•Jan 30, 2018
very good course for PGM learning and concept for machine learning programming. Just some description for quiz of final exam is somehow unclear, which lead to a little bit confusing.
By ZZ
•Feb 14, 2017
Great course! Very informative course videos and challenging yet rewarding programming assignments. Hope that the mentors can be more helpful in timely responding for questions.
29 Reviews
By Shi Yihui
•Jan 20, 2019
I love this course! It's very difficult but worthy. If you are looking for the state-of-the-art AI techniques, PGM doesn't seem to be your best choice. It's some kind of old fashion compared to DL. I learned a lot about the probability theory through all three courses, and I get better understanding with CRF and HMM. Seriously, it's not a course that will improve your skills or guarantee your successful immediately in ML fields, but a course that can shape your thoughts, help you think out of box. So if you don't like the black-box in DL, PGM will offer you another brand new perspective to understand this uncertain world.
By Antônio Horta Ribeiro
•Nov 06, 2018
Bad choice of content. Focus too much on the specific case of table CPDs, missing the big picture.
By Luis
•Aug 28, 2018
Great course, though with the progress of ML/DL, content seems a touch outdated. Would
By Liu Yang
•Aug 27, 2018
Great course, great assignments I indeed learn much from this course an the whole PGM ialization!
By Musalula Sinkala
•Aug 25, 2018
The course is very involved but Daphne makes its palatable. The course open a new world of new possibilities where one can apply PGMs to get concrete understanding of relationships between events and phenomena in any discipline; from social sciences to natural sciences.
By Michel Speiser
•Jul 14, 2018
Good course, but the material really needs a refresh!
By Gorazd Hribar Rajterič
•Jul 07, 2018
A very demanding course with some glitches in lectures and materials. The topic itself is very interesting, educational and useful.
By Vincent Li
•Jun 05, 2018
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.
By Rishi Chopra
•Jun 05, 2018
The course facilitates learning - and reinforces acquired knowledge through the simple principle of honest effort: students are not given all the answers... but they are 'nudged' in the right direction & guided towards fruitful questions; in a way, it's the perfect course!
By Chan-Se-Yeun
•Feb 22, 2018
Yeah! I managed to finish PGM. I feel ready to explore further. PGM 3 is really helpful. Although many details are not fully discussed, some important intuitions are well illustrated, like EM algorithm and its modification in case of incomplete data. Also, the way the teacher teach set an good example for me to learn to demonstrate complicated things in an easy and vivid way. Thank you so much!
