12 de jul de 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!!
22 de out de 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).
por Douglas G•
24 de out de 2016
This course is very help for who have to study anything the respect of machine learning example, which is a thing much used in every day and in the new context of new industries 4.0, and the studies of probabilistcs graphical can help who need to develop new programs each times more efectiviness and best.
por Venkateshwaralu S•
25 de out de 2016
I loved every minute of this course. I believe I can now understand those gory details of representing an algorithm and comfortably take on challenges that require construction and representation of a functional domain. On a different note, nurtured a new found respect for the graph data structure!
por Ryan D•
21 de jun de 2017
Quiz and Video Lecture content was good. Would have preferred different format for programming assignments. The 30 minute life time of programming assignment submission tokens was pretty inconvenient. Overall great course. Definitely more challenging than the Machine Learning course material.
por Jorge P•
26 de fev de 2017
Brilliant course, extremely challenging. Prof. Koller does a great job explaining the concepts and uses up-to-date and useful examples. The quizzes are the hardest I've faced in Coursera, this course is no joke, it will take time, effort and taking notes to get through it.
por Juan P J A•
11 de mai de 2022
Great content, explanations and flow . Explanations are dense sometimes so it requires to stop or replay the video. I gave up on the extra material given the problems with the automatic online submission (this should be updated). In general, I highly recommend it!
por roi s•
29 de out de 2017
I really like how Dafna is teaching the course, very clear!
It will be nice if their could be a following course that will show new frameworks and code that implements PGMs. Like the courses of deep learning where Andrew Ng is focusing mostly on the practical side.
por Anurag P•
8 de jan de 2018
The course is quite hard, however it becomes easier if you follow the book along with course. Also, programming assignments need to improved, the bugs and known issues mentioned in forum should be incorporated to prevent people from wasting time on setup issues.
por Yuxuan X•
7 de ago de 2017
Awsome course for Information/Knowledge Engineering. Although not necessary to finish all the honor assignments, it is highly recommended to implement them. Not only for comprehension, but also practice. You can actually apply them on your career or research.
por Minh N•
1 de mar de 2017
Quite a steep learning curve. Definitely not for those without prior experience in machine learning, or statistics in general. Also, I would much appreciate it if more test cases were provided in the programming assignments to help with debugging.
por Christophe K•
22 de out de 2016
Very challenging course, but hey, if you are here, you are looking for that!
Lots of knowledge to absorb, but that leads you to a deep understanding on Probability Graphs properties.
I've learnt a lot and I really enjoyed taking this course.
por Maxim V•
29 de abr de 2020
Basic but absolutely necessary knowledge (representation). Quizzes were surprisingly easy. The best (and in my opinion absolutely necessary) part are the honor assignments, they make the course not just a little but many times better.
por José A R•
13 de set de 2018
Excellent course. Very well explained with precise detail and practical material to consolidate knowledge.
This was my first approach to PGM and end it fascinated. Will look to learn more from this subject.
Thank you very much Daphne!!
por Chatard J•
25 de nov de 2016
Une méthode pédagogique sans faille. Des contrôles et des exercices qui permettent d'approfondir ce qu'on apprend et de faire le point en permanence. Un merveilleux voyage dans le monde des Modèles Graphiques Probabilistes.
por Justin C•
23 de out de 2016
This was a fantastic introduction to PGM for a non-expert. It is well paced for an online course and the assignments provide enough depth to hone your knowledge and skills within the 5 week timeframe. Highly recommended.
por KE Z•
23 de nov de 2017
All Programming Assignments are challenging (Bayesian net, Markov net/CRF, and decision making), but very essential to help understand how PGM works. I definitely will enroll the second course in this specialization.
por Alexey K•
17 de nov de 2017
Thank you! It's simply incredible exercise for brain! :-) The best ever course here, which teaches one to really think and model, rather than merely click to choose most plausible answer ( like other courses do )
por Supakorn S•
27 de abr de 2022
The instructor provide clear explanations and useful examples.
Reading the recomended resourses, including the books, are also help me to comprehend the course contents.
Great course overall, thanks
por Ofelia P R P•
11 de dez de 2017
Curso muy completo que da conocimiento realmente avanzado sobre modelos gráficos probabilísticos. Aviso, la especialización es complicada para los que no somos expertos del tema!
por Jorge C•
17 de set de 2017
Sugerencia: Algunos de los ejemplos numéricos presentados en el curso podrían ir acompañados de alguna expresión matemática intermedia que facilite la comprensión de los mismos.
por Christopher M P•
16 de jan de 2020
Simply excellent. A wonderful course to begin the representation of PGM. Be advised.... this can get quite advanced. It's all about that Bayes, 'bout that Bayes.... no trouble.
por Christopher B•
17 de jul de 2017
learned a lot. lectures were easy to follow and the textbook was able to more fully explain things when I needed it. looking forward to the next course in the series.
por Anthony L•
20 de jul de 2019
Some parts are challenging enough in the PAs, if you are familiar with Matlab this course is a great opportunity to get familiar with PGMs and learn to handle these.
25 de mar de 2020
really great course! very clear and logical structure. I completed a graphical models course as part of my master's degree, and this really helped to consolidate it
por Prasid S•
7 de dez de 2016
Very well designed. There were areas here I struggled with the technical details and had to read up a lot to understand. The assignments are very well designed.
por Al F•
19 de mar de 2018
Excellent Course. Very Deep Material. I purchased the Text Book to allow for a deeper understanding and it made the course so much easier. Highly recommended