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.
대학: Eugene Brusilovskiy•
May 22, 2019
Excellent instructor and very helpful readings and assignments.
대학: Jenna Kwon•
May 13, 2019
The lectures are at the right pace; concise and challenging. Great examples. Thank you so much for providing us with great materials.
대학: Cem Tabakci•
May 11, 2019
It was a groundbreaking course. I highly suggest it.
대학: Borisov Vadim•
May 10, 2019
I like this course, thank you!
대학: Dariia Vyshenska•
May 07, 2019
simple, clear and enjoyable. will take the second course in the series, then move to heavy literature on the topic.
Special thank you to the instructor! you are amazing!
대학: Yahia El Gamal•
May 04, 2019
Very good course for beginning bayesian inference. The syllabus is easy to follow, but I also think one could benefit even more by complementing the lectures with other sources (books or other youtube explanation)
대학: Ken Moriyama•
May 01, 2019
It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.
대학: Adam Sorini•
May 01, 2019
This course is great! Very clear, very professional, and lots of useful content!
대학: Vítor Ramos•
Apr 29, 2019
The practice exercises were very well conceived!
Apr 28, 2019
There are books and courses out there teaching you how to use machine learning tools to solve real problems. But there aren't so many like this starting from the Bayesian way. Besides, this is a good entry point for me to read the book "Pattern Recognition and Machine Learning".