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