good overview of methods but project part was frustrating due to slow Jupyter servers which blocked progress. Overall still positive as course content is unique.

Assignments are poorly designed. Staff is unresponsive. IThe same appened with the first course of the specialization.

Do not attempt this course unless you are extremely experienced in the topic and python already.

the course content is okay. but the coding exam really needs improvement.

This could have been the real deal with so many fascinating topics to learn here, but unfortunately, this specialization is setting new low standards in each assignments. The grader does not work, sometime we are asked to produce wrong results (as oppose to the research material). It is very frustrating!

Good reading assignments.

They need better and more qualified support staff.

Content is good but assignments are buggy.

Content and programming assignments are not much correlated. Lots of kernel problems while submitting assignments and late reply by staff.

Excellent course.

I only wish to have had programming assignment with RNN and Hidden Markov Models instead of three assignments on PCA. Although they highlighted a interesting application in finance.

So far so good. The lecturer refers to projects of which some weren't covered in this course. So a little confusing. Takes lots of googling to finish this course.

Very informative