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).
創建者 Johannes C•
Mar 08, 2018
necessary and vast toolset for every scientist, data scientist or AI enthusiast. Very clearly explained.
創建者 Alexandru I•
Nov 25, 2018
Great course. Interesting concepts to learn, but some of them are too quickly and poorly explained.
創建者 Rajmadhan E•
Aug 07, 2017
Awesome material. Could not get this experience by learning the subject ourselves using a textbook.
創建者 Lucian B•
Jan 15, 2017
Some more exam questions and variation, including explanations when failing, would be very useful.
創建者 BOnur b•
Nov 13, 2018
Great course. Recommended to everyone who have interest on bayesian networks and markov models.
創建者 Elvis S•
Oct 29, 2016
Great course, looking forward for the following parts. Took it straight after Andrew Ng's one.
創建者 Youwei Z•
May 20, 2018
Very informative. The only drawback is lack of rigorous proof and clear definition summaries.
創建者 Umais Z•
Aug 23, 2018
Brilliant. Optional Honours content was more challenging than I expected, but in a good way.
創建者 Hao G•
Nov 01, 2016
Awesome course! I feel like bayesian method is also very useful for inference in daily life.
創建者 Stephen F•
Feb 26, 2017
This is a course for those interested in advancing probabilistic modeling and computation.
創建者 liang c•
Nov 15, 2016
Great course. and it is really a good chance to study it well under Koller's instruction.
創建者 Ning L•
Oct 18, 2016
This is a very good course for the foundation knowledge for AI related technologies.
創建者 Abhishek K•
Nov 06, 2016
Difficult yet very good to understand even after knowing about ML for a long time.
創建者 chen h•
Jan 21, 2018
The exercise is a little difficult. Need to revise several times to fully digest.
創建者 Isaac A•
Mar 23, 2017
A great introduction to Bayesian and Markov networks. Challenging but rewarding.
創建者 庭緯 任•
Jan 10, 2017
perfect lesson!! Although the course is hard, the professor teaches very well!!
創建者 Alejandro D P•
Jun 30, 2018
This and its sequels, the most interesting Coursera courses I've taken so far.
創建者 Naveen M N S•
Dec 13, 2016
Basic course, but has few nuances. Very well instructed by Prof Daphne Koller.
創建者 Amritesh T•
Nov 25, 2016
highly recommended if you wanna learn the basics of ML before getting into it.
創建者 Pouya E•
Oct 13, 2019
Well-structured content, engaging programming assignments in honors track.
創建者 David C•
Nov 01, 2016
If you are interested in graphical models, you should take this course.
創建者 Camilo G•
Feb 05, 2020
Professor Koller does an amazing job, I fully recommend this course
創建者 PRABAL B D•
Sep 01, 2018
Awesome Course. I got to learn a lot of useful concepts. Thank You.
創建者 Pham T T•
Dec 13, 2019
Excellent course! This course helps me so much studying about PGM!
創建者 Lik M C•
Jan 12, 2019
A great course! The provided training clarifies all key concepts