Very dense content

Very good course!!

Was Quite Helpful

great course

Good

This course is a mixed bag. The instructor is precise and to the point. It covers quite a few techniques that are usually not covered in other machine learning courses and offers good suggestions for additional reading to get into specific technical details. There are however two main drawbacks. First: there is only a single optional programming assigment in C++. Learning materials like these is often more thorough with programming assignments attached to them, which is the case in all of the best courses in the field of Machine Learning or Data Science. Second: the instructor's English is not great. This makes the course difficult to follow sometimes, especially since the automatically generated subtitles tend to be VERY bad and occasionally misleading.

The Professor has a difficulty with English pronunciation, so sometimes it is very hard to understand his speech.

The coding assignment instructions are near impossible to follow. The lecture is monotonous in the later weeks.

Its was alright. The author must try different approach or explain a bit more about the mathematical equations

Awesome content. However, the lectures were slow and many were longer than I thought they needed to be.

Little outdated but still clears the basics. More theoretical and less programming based

this course is useful if you take further courses too

Great theoretical introduction, but not hands-on.

Course was ok. Some slides have mistakes in it.

Forums were poorly organized and not well participated in.

There was no forum topic for the honors assignment.

Honors assignment appeared to require unix, which was not stated in the course requirements.

Honors assignment was due too early in the term.

Very complex topics with average teaching skills. There is always a weird background noise, sounds like a notebook fan, that distracts me. Course is also to long.

it is really dry. Not hands on at all. Not everyone knows c, would appreciate more approachable hands on experience

Too much theory, not enough practical exercises and too few examples of how the algorithms work.

Could not understand many of the mathematical formulae involved. The topic coverage was good.

The ppts, visuals (including texts) were not engaging enough to sustain my interest

While interesting, the videos are too long, and few practical

No wayb