Learner Reviews & Feedback for Probabilistic Graphical Models 2: Inference by Stanford University
About the Course
Top reviews
AA
Mar 8, 2020
Great course, except that the programming assignments are in Matlab rather than Python
YP
May 28, 2017
I learned pretty much from this course. It answered my quandaries from the representation course, and as well deepened my understanding of PGM.
26 - 50 of 78 Reviews for Probabilistic Graphical Models 2: Inference
By Julio C A D L
•Apr 9, 2018
I would have like to complete the honors assignments, unfortunately, I'm not fluent in Matlab. Otherwise, great course!
By kat i
•Dec 7, 2020
Amazing course offering a technical as well as intuitional understanding of the principles of doing inference
By Evgeniy Z
•Mar 10, 2018
Very interesting course. However, even after completing it with honors, I feel like I don't understand a lot.
By HARDIAN L
•May 19, 2020
Great balance between theories and practices. Also provide a lot of intuitions to understand the concepts
By Una S
•Sep 2, 2020
Amazing course! Loved how Daphne explained very complicated things in an understandable manner!
By Martin P
•Jan 20, 2021
Great course! Course has filled gaps in my knowledge from statistics and similar sciences.
By Ruiliang L
•Feb 24, 2021
Awesome class to gain better understanding of inference for graphical model
By Sriram P
•Jun 24, 2017
Had a wonderful and enriching fun filled experience, Thank you Daphne Ma'am
By Jerry R
•Dec 22, 2017
Great course! Expect to spend significant time reviewing the material.
By vineetha m
•Dec 4, 2024
I have found this course very useful for my research work in robotics
By Anil K
•Nov 5, 2017
This course induces lateral thinking and deep reasoning.
By Liu Y
•Mar 18, 2018
Really a interesting, challenging and great course!
By KE Z
•Dec 29, 2017
Very valuable course! I am glad I made it.
By Tim R
•Oct 4, 2017
Very interesting, more advanced material
By Arthur C
•Jul 19, 2017
Difficult, but it makes you think a lot!
By Damir H
•Jul 31, 2023
Very interesting and exciting course.
By Dat Q D
•Jan 26, 2022
the content is very hard
By chen h
•Feb 5, 2018
Interest but difficult.
By Ramasubramanian G
•Sep 14, 2017
Great job Prof. Koller!
By Musalula S
•Aug 2, 2018
This is a great course
By Wei C
•Mar 6, 2018
good way to learn PGM,
By Alexander K
•Jun 3, 2017
Thank You for all.
By Wenjun W
•May 21, 2017
Awesome class!
By 郭玮
•Nov 12, 2019
Very helpful.
By Anderson R L
•Nov 3, 2017
Great course!