Sep 01, 2017
Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.
Jun 27, 2018
Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.
创建者 Mark S
•Feb 08, 2017
I found this course to be really useful. It did progress through the math a bit quickly for my liking, but it was paced very appropriately and the discussion forums were helpful. Excellent examples are contained and I loved how both R and Excel modules were leveraged. Looking forward to seeing more Bayesian courses on Coursera in the future.
创建者 John G
•Oct 30, 2017
Prof Lee derived the formulas in an upbeat way, which helped me learn. I'd suggest putting the actual lectures into pdf for later reference, like is done for supplementary material. Homework assignments were challenging and educational. You might suggest a review of prob distributions as pre-requisite.
创建者 Damian C
•Nov 10, 2016
Very well presented course. Interesting and intuitive introduction into the fascinating Bayesian world.
Many thanks and congratulations!!!
创建者 Luca M
•May 16, 2017
A concise and clear introduction to the Bayesian paradigm. Its conciseness make it suitable for frequentists wanting to get a quick overview of the Bayesian Way.
创建者 Labmem
•Sep 11, 2016
Good course. This course is quite challenging for people who don't major in math or physics. However, it isn't so difficult to understand as the post half of this course has a lot in common. In my experience, understanding the concept of priors and posterior estimation is the core of this course. Have fun learning this course.
创建者 Quan N
•Aug 02, 2017
This course helped me a lot in getting a better understanding of Bayesian methods. I recommend this course for all data scientists and machine learning practitioners.
创建者 Kelvin P
•Apr 04, 2017
I really like the assignments, they are very well designed and helped a lot in consolidating my understanding of the topic. In my opinion, these assignments are the reason why coursera courses are better than the video lectures available elsewhere.
创建者 Marcin K
•Sep 23, 2017
I took this course due to my interest in machine learning and graphical models. I like the approach and execution. I recommend it for anyony interrested in statistical inference. Some topics require looking up external sources, like wikipedia, but it is not an issue.
创建者 Raj s
•Feb 09, 2017
Learned something new :). Lecture were excellent, but, I need time to digest and hope I will get opportunity to use it in future.
创建者 TERENCE Y
•Sep 19, 2017
An excellent introduction to Bayesian Analysis with some practical examples and applications. The lessons serve as a solid foundation towards understanding the philosophical underpinnings of the Bayesian approach to decision analysis under uncertainty. Thanks to Prof Herbert Lee for making the easy to understand without sacrificing rigour.
创建者 Fabian M
•Feb 20, 2018
The course manages very well to balance out comprehensibility and content. Professor Herbert Lee has obviously prepared the material very thoroughly and imparts the content of the course in an enjoyable fashion.
创建者 Liublu B
•Aug 29, 2017
Very good, I reccomend it to data scientist
创建者 Guido W R
•Oct 05, 2016
Very nice course that in my opinion nicely fits between Bolstad and Gelman in difficulty (talking in popular Bayesian Data Analysis books). Herbert Lee does a very good job at building one's intuition and understanding in the general Bayesian inference. Good starting point for moving on with Bayes.
创建者 Manos T
•Jul 19, 2017
Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.
创建者 Sujith N
•Feb 24, 2018
As a primer to Bayesian Statistics, this course covers the basics at a brisk pace. No time is wasted in explaining the basics of Probability theory; which I have always found, at best, to be distracting in the other similar courses I have taken. Thank you, Herbert Lee and Coursera.
创建者 Flavio P
•Aug 10, 2017
Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.
创建者 Zhirui W
•Sep 26, 2017
Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.
创建者 Laura B
•Aug 05, 2017
Great course! Well explained with useful additional material. Strongly suggested.
创建者 Humberto R C
•Nov 06, 2017
A clear and compact introduction. Quizzes and exercises are relevant. I got acces to grades and feedback in the audit one I took.
创建者 Sandro P
•Nov 21, 2017
Very interesting course.
For me the most interesting and important themes are about priors:
1) conjugated priors
2) effective prior size
3) how to choose a prior
4) non-informative priors
5) improper priors
6) Jeffreys priors
创建者 Musa J
•Aug 11, 2017
Herbert Lee's Tests are fun (Best!) to learn during the test! Lectures are succinct; Format of writing on the glass towards you and then flipped was right & original. Went on to try Kaggle problems independently. For usable feedback need tiny bit more on Poisson, Gamma, non conjugate intuitively & darker shirts as background.
创建者 Isaac D
•Jan 20, 2017
A step by step course, designed to pay attention all the time with tons of practical examples and very clear explanations, I would definitely recommend it!!
创建者 张宁
•Sep 24, 2016
This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.
创建者 Nguyen Q V
•Aug 21, 2017
It is the good place to start to learn Bayesian theory
创建者 Bijit D
•Sep 20, 2017
A great course on Bayesian Statistics.