RG
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 Ning L
•Oct 17, 2016
This is a very good course for the foundation knowledge for AI related technologies.
By Hong F
•Jun 21, 2020
Hope there are explanations of the hard questions (marked by *) in the final exam.
By Abhishek K
•Nov 6, 2016
Difficult yet very good to understand even after knowing about ML for a long time.
By chen h
•Jan 20, 2018
The exercise is a little difficult. Need to revise several times to fully digest.
By Isaac A
•Mar 23, 2017
A great introduction to Bayesian and Markov networks. Challenging but rewarding.
By 庭緯 任
•Jan 10, 2017
perfect lesson!! Although the course is hard, the professor teaches very well!!
By Alejandro D P
•Jun 29, 2018
This and its sequels, the most interesting Coursera courses I've taken so far.
By Naveen M N S
•Dec 13, 2016
Basic course, but has few nuances. Very well instructed by Prof Daphne Koller.
By Amritesh T
•Nov 25, 2016
highly recommended if you wanna learn the basics of ML before getting into it.
By Pouya E
•Oct 13, 2019
Well-structured content, engaging programming assignments in honors track.
By David C
•Nov 1, 2016
If you are interested in graphical models, you should take this course.
By Camilo G
•Feb 4, 2020
Professor Koller does an amazing job, I fully recommend this course
By PRABAL B D
•Sep 1, 2018
Awesome Course. I got to learn a lot of useful concepts. Thank You.
By Trọng T P
•Dec 13, 2019
Excellent course! This course helps me so much studying about PGM!
By Lik M C
•Jan 12, 2019
A great course! The provided training clarifies all key concepts
By Sivaramakrishnan V
•Jan 6, 2017
Great course. Thanks Daphne Koller, this is really motivating :)
By Arjun V
•Dec 3, 2016
A great course, a must for those in the machine learning domain.
By CIST N
•Oct 30, 2019
Good way to learn Probabilistic Graphical Models in practical
By pras v
•Jan 20, 2018
Challenging! Regret not doing the coding assignment for honors
By Gautam B
•Jul 4, 2017
Great course loved the ongoing feedback when doing the quizes.
By Achen
•May 6, 2018
a bit too hard if you don't have enough probability knowledge
By Albert J
•Nov 4, 2017
Best course anywhere on this topic. Plus Daphne is the best !
By Arthur C
•Jun 4, 2017
Super useful if you want to understand any probability model.
By Ruiliang L
•Feb 15, 2021
Awesome class to gain solid understanding of graphical model
By Phong V
•Mar 18, 2020
Great course, learned a lots. Thanks professor Daphne Koller