- 9 reviews
- 7 completed
This course has very extensive information. Wow! However, sometimes I wish for more selection of information, so that I can concentrate on the more practically interesting one.
Pretty interesting overview of *advanced* image processing techniques and a good introduction to sparse coding as well.
I've read quite a bit about machine learning, but this course was a very interesting addition. It explains why machine learning methods work. A great insight if you want to be more than an "ML engineer". I even couldn't wait and watched all lectures from Youtube instead.
I knew how to program with common imperative languages. This course shows concepts and theory of more paradigms and was quite eye-opening. I learned quite a lot about details of a type system and it's challenges.
I had only known some concepts about discrete problems, and the course was a very nice and convenient further expansion on this. The lecturer is also very, very entertaining. A considerable part of the course is implementing some tough discrete optimization tasks which are evaluated competitively against other participants. I didn't have the time to participate, but I suppose it's very fun.
A very high quality course with original references. I had never seen the original video for the obedience experiment.
I had read some short articles about voting and decision paradoxes. This course was an interesting and more detailed explanation of the concepts. It's surprising which factors play into making optimal decision schemes.
I've known many things about databases, but this course was still an enjoyable, fast-paced overview and broadened of my knowledge.
This course made me pick up learning the statistics basics. I've had some knowledge of the rough concepts, but before I didn't find the motivation to look at them thoroughly. The course, however, is fast-paced, interesting and informative. The quizzes really help to understand some details.