Avis et commentaires pour d'étudiants pour Probabilistic Graphical Models 1: Representation par Université de Stanford
À propos du cours
Meilleurs avis
Jul 13, 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!!
Oct 23, 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).
101 - 125 sur 280 Avis pour Probabilistic Graphical Models 1: Representation
par Hong F
•Jun 21, 2020
Hope there are explanations of the hard questions (marked by *) in the final exam.
par Abhishek K
•Nov 06, 2016
Difficult yet very good to understand even after knowing about ML for a long time.
par chen h
•Jan 21, 2018
The exercise is a little difficult. Need to revise several times to fully digest.
par Isaac A
•Mar 23, 2017
A great introduction to Bayesian and Markov networks. Challenging but rewarding.
par 庭緯 任
•Jan 10, 2017
perfect lesson!! Although the course is hard, the professor teaches very well!!
par Alejandro D P
•Jun 30, 2018
This and its sequels, the most interesting Coursera courses I've taken so far.
par Naveen M N S
•Dec 13, 2016
Basic course, but has few nuances. Very well instructed by Prof Daphne Koller.
par Amritesh T
•Nov 25, 2016
highly recommended if you wanna learn the basics of ML before getting into it.
par Pouya E
•Oct 13, 2019
Well-structured content, engaging programming assignments in honors track.
par David C
•Nov 01, 2016
If you are interested in graphical models, you should take this course.
par Camilo G
•Feb 05, 2020
Professor Koller does an amazing job, I fully recommend this course
par PRABAL B D
•Sep 01, 2018
Awesome Course. I got to learn a lot of useful concepts. Thank You.
par Pham T T
•Dec 13, 2019
Excellent course! This course helps me so much studying about PGM!
par Lik M C
•Jan 12, 2019
A great course! The provided training clarifies all key concepts
par SIVARAMAKRISHNAN V
•Jan 06, 2017
Great course. Thanks Daphne Koller, this is really motivating :)
par Arjun V
•Dec 04, 2016
A great course, a must for those in the machine learning domain.
par CIST N
•Oct 30, 2019
Good way to learn Probabilistic Graphical Models in practical
par Prazzy S
•Jan 20, 2018
Challenging! Regret not doing the coding assignment for honors
par Gautam B
•Jul 04, 2017
Great course loved the ongoing feedback when doing the quizes.
par Achen
•May 06, 2018
a bit too hard if you don't have enough probability knowledge
par albert b
•Nov 04, 2017
Best course anywhere on this topic. Plus Daphne is the best !
par Arthur C
•Jun 04, 2017
Super useful if you want to understand any probability model.
par Vu P
•Mar 18, 2020
Great course, learned a lots. Thanks professor Daphne Koller
par Sriram P
•Jun 24, 2017
Had a wonderful learning experience, Thank You Daphne Ma'am.
par Pablo G M D
•Jul 18, 2018
Outstanding teaching and the assignments are quite useful!
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