Nov 18, 2017
This course is little difficult. But I could find very helpful.\n\nAlso, I didn't find better course on Bayesian anywhere on the net. So I will recommend this if anyone wants to die into bayesian.
Jun 07, 2019
Excellent course! The perfect balance of clear and relevant material and challenging but reasonable exercises. My only critique would be that one of the lecturers sounds very sleepy.
創建者 Dipanjan D•
Jan 21, 2020
創建者 Marcin L•
Nov 14, 2019
The course was great, I've learned a lot about Bayesian perspective on Machine Learning. The level was satisfying, tasks and quizzes were demanding. It has been very interesting material to learn about.
I would give 5 stars, but eventually gave 4 because it had two drawbacks. First is, assignments are written in tensorflow v1, and occasionally there were issues with compatibility in some libraries. I don't know when the codes were last time refreshed, but unfortunately open source technologies tend to become deprecated very quickly, and the time has already affected course materials. Secondly, some of the most important derivations were made on blackboard, and are not included in downloadable slides. I would really like to keep them in some files, but the're not available.
Apart from these minor drawbacks, it's still a great course and definitely worth learning from.
創建者 Erik B•
Jul 22, 2020
The material that was discussed was quite interesting. In particular, the variational inference, varfational auto encoders, and Gaussion process optimization.
I found the course material a bit lacking tough. There was one lecture where the main formulas for Guassian inference were derived that had a huge mistake in it. Also, sometimes, the assignments were totally unclear. The final project was a bit demotivating. Given the low quality of the pre-trained VAE, the results are not that good. If a pre-trained VAE was used, then why not simply use a bigger pre-trained VAE? Also, the final assignment was really easy and the whole peer review process felt a bit over the top. I must have spent more time in the forums getting my work reviewed than working on the final project.
創建者 Mehrdad S•
Sep 03, 2019
This is a great course for some of the advance topics in Baysian ML. The course starts off great and provides great explanation of the basic topics such as Conjugate, EM algorithm, etc. The related HW are also intelligently designed and fun to solve. But, as it reaches the weeks 5 and 6, things starts to fall apart and the materials are not presented and explained in the best possible way. I think the instructors try to teach many topics which requires a little bit of patience in a short amount of time. Overall, I believe its a course worthy of try, certainly provides great exposure to some of the advance topics but requires further follow ups and studies to completely digest all the materials.
創建者 Raffael S•
May 15, 2020
This course is very good. However, the weeks on Variational Methods and Gaussian Processes need more detail or references to extra reading material as they don't very much into depth. Also, a few theoretical exercises would have been nice. E.g. calculating a simple example with non-conjugate priors. Finally, I feel like the notebooks could do with a major update to TF 2.0 and Keras as well as GPy. I spend a few hours chasing non-existent bugs in my code when the problem was that the solutions changed numerically from one version to the other and you have to find out which one.
創建者 Bart-Jan V•
Nov 23, 2018
Great course, great material, though difficult to follow a non native English speaker being non-english myself. Though the instructors know what they are talking about, they don't tell it in their own words but rather seem to have practiced their text.
Another important point is that it took me a lot of time to follow (pre)calculus and probability theory courses, to be able to understand this course. The course was a nice motivation to do that. I'm glad I did, because now I can understand and use VAE's and bayesian optimization (and some other useful stuff)
創建者 Joris D•
Jul 17, 2018
I can not recommend this course highly enough. Unfortunately I can't give it 5 stars since some of the computer assignments were outdated with respect to the tools they utilize (e.g. arguments in the assignments not existing anymore). Still, let that not discourage you. If you ever mentally disconnect when people start talking about Gibbs sampling, mean field approximations, intractable variational lower bounds, or other big fancy words, this is definitely the course for you. You'll discover that all these things are actually quite straightforward.
創建者 Pallavi J•
Jun 11, 2020
This course covered everything I wanted to learn about Bayesian approaches to machine learning. Also, quizes are informative as in if I select something wrong, the valuable feedback is given as in why this option should not be selected which clearly shows that course creators just do not want to make the quizes complex but also want students to learn through those quizes.
Thanks for the course!
創建者 Saptashwa B•
Mar 04, 2020
Fantastic course! Very comprehensive introduction to Bayesian analysis. There's though room for improvement from what I have experienced. One suggestion I have is to provide transcript written and checked by the lecturers and not some auto generated script! This would help us a lot better to understand the video and won't mislead us, which at times the transcript really does!!
創建者 Maury S•
Aug 22, 2018
Excellent, detailed content for people wanting to understand variational methods for machine learning. Fairly high degree of math and statistics required as a prerequisite, as well as moderate ability as a Python programmer. Does not get 5 stars because some of the assignments had confusing instructions, and availability of instructors and others to asnwer questions was poor.
創建者 Cristian M B B•
Jul 19, 2020
This course requires some prior knowledge in probability and statistics to full understand the topics, otherwise is imposible. It's very challenging but useful and interesting. Assignments are well designed for the platform but estimated time to complete them is a bit vague. Learner espent too much time solving this assignments. Otherwise it's an excellent course.
創建者 Mauro D S•
Jul 03, 2018
Hard material, but very well explained. The peer-review exercises are interesting as well, but if the reviewer does not understand the material, I wonder how useful they are. Open research question I guess (i.e. how to make sure the student reviewer understands what he is reviewing-are there any baseline reviews established a student should go through first?)!
創建者 Milos V•
Jan 08, 2019
As PhD in physics I found lecture super-boring (too much theory and derivation) and irrelevant to the practical assignment. On the other hand, most of practical assignments are explained very pedagogical manner (except week 5!). As for the first course - I would recommend more code-related lectures.
創建者 Alexander E•
Jun 02, 2018
Excellent material! I got new very useful knowledge. I really like the final project. Although course design is not perfect. It would be great to have additional content (links or documents), lectures are not enough to pass the tests. Also some assigments have issues (code and grader errors).
Jul 21, 2018
Good course. But some suggestions: topic about variational inference or variational EM in theory is quite tough, better to have equivalent level of assignment for better practical understanding. Personally, I feel VAE is a very simplified application case.
創建者 Gavin L•
May 12, 2020
Probably the best online course available on this topic and some projects are indeed interesting and worth the investment. However, i don't feel like quizzes and some projects are challenging (or at least worth some effort) to build a solid understanding.
創建者 冯迪(Feng D•
Feb 26, 2018
The materials of this lecture are awesome. Very useful! However, the introduction of project assignments are very confusing, especially the final project. It took me hours to understand what the task is really about, and what should we really do.
創建者 Ishaan B•
Nov 28, 2018
The content+course structure was phenomenal. The assignment environment setup was a bit cumbersome at times, but the level of difficulty in the assignments really solidified the understanding of the course material.
創建者 Guy K•
Mar 19, 2018
a very important material is covered in a clear manner.
some of the labs could have been more effective (e.g. avoid unnecessary mixing between tensorflow and Keras)
Strongly recommended course ! great curriculum !
創建者 P C•
Jan 30, 2020
The course covers a lot of very advanced material and is a great starting point for Bayesian Methods, but it would greatly benefit from having additional reading materials.
創建者 Olaf W•
Jun 26, 2018
Great class. Well presented material. Sometimes the path from introduction to advanced material could use a few steps in between.
創建者 Diego E P M•
Apr 10, 2020
A very good course on Bayesian methods, though I find explanations are a bit confusing from time to time.
創建者 Chiang y•
Jun 04, 2018
We may need more help for homework format or quiz answer format. It took me lots time for solving it.
創建者 Maxim V•
Mar 27, 2020
Amazing course, an absolute must! Only some programming assignments were having minor issues.
創建者 Sai H Y•
May 17, 2020
covering Additional and recent Bayesian methods will make this course exceptional