Brilliant. i am a mathematician and the course fulfilled my need for rigour and yet maintained an intuitive perspective. Sergei (if I may call him by his name) is a great teacher and I am looking forward to attending a more advanced course (possibly on scaling) and reading his scientific papers.

This is a mind-opening course. It will not give you a lot of mathematical detail about the techniques it reviews (although it certainly does that for Restricted Boltzmann Machines) but the scope and perspective of Hinton's on the field is unique. If you like NN you cannot miss it.

Since there were no exercises, I treated the quiz questions as exercises. But, that meant I could not see the correct results for answers I had gotten wrong, and I could not see a correct solution (i.e., method of arriving at the correct answer). While the instructor did provide examples in each lecture, these were often much easier than the quiz questions. So, for the future, I recommend a set of exercises with worked solutions to enable the students to sharpen their skill before taking a quiz. Other than that, this was the perfect introduction to FCA for me. I noted down a few ideas I have on some of the topics and methods discussed in the course, but I haven't had time to examine these ideas in detail. Is there some way to contact the instructor later to get his reaction to these ideas?

This course is a great introduction to Formal concept analysis. You might need some knowledge of mathematics, but I think you do not need so much. If you get accustomed to the way mathematicians do, it would be very helpful.

Was quite hard. Instructor was very helpful. Instructors book helped a lot.

Очень хороший курс. Для удобства прохождения не хватало презентационного материала. Была неопределенность в одном-двух тестовых вопросах. Но в целом курс полезный и очень интересный! Спасибо!

Great course spending a reasonable amount of time on fundamentals and steadily advancing to more complex applications. Excellent use of example datasets for demonstrating and interpreting new techniques. Only area that felt lacking was a comparison of FCA techniques to other methods for analyzing binary data (i.e. standard unsupervised learning techniques).

It is a very nice course, I fully recommend it. It is very good organized and explained. The task some of them are challenge.

Excelente contenido y explicaciones. Muy completo al momento de dar la introducción sobre Análisis Formal de Conceptos

The last probability excercise was tough, but worth it.

Go ahead!!

Wonderful explanations and resources.

Great Course. Explained nicely.