many things was impressive

Excellent course

Course contained lots of new information for me, but exercises were too simple in comparison with other courses of specialization.

Nice course, but the impression about practical tasks is really awful. The tasks are ok, but grading system is too buggy

Lack of clarity on how to answer questions both in quiz and programming

Needs more examples and to reduce the speed in many subjects.

need more simple examples and literature links

It was good. People made lot of work on it...

I wish there were more practice

Oh, that lovely accent

The course is interesting and challenging. Some work is needed on how to best transfer the right message to the students. Some videos are going way to deep into technical details and not focusing enough on the end goal. Overall interesting and mind-engaging course.

The videos are good, it's just the assignments that are frustrating.

I spent at least 10 times as long trying to get them to pass the autograder as I did solving them.

You need to improve this aspect of the course if you're expecting 4 or 5-star reviews :)

An introduction to machine learning. The transition from courses, whose concepts are easily understood with a good mathematical foundation, to practical exercises is sometimes quite difficult.

The assignments are not clear and the teacher support is poor (despit the slack channel being a welcome improvement!).

Cons outweigh the pros in this course: poor course' structure, terrible pronunciation, persistent headache in passing assignments with grader system, lack any feedback from teachers. I think this course is a loss of Yandex reputation.

Just a highlevel introduction to machine learning with comments like "you can also do it on spark". No details about the parallel learning process (parameter server, etc)

Unexistant support, failing notebooks

The autograders are broken and team support is lacking. Decent lecture content however.