Very interesting and very clearly explained.

Awesome content.

Nice work plan

very nice!

Amazing!

Excel

well

good

nice

I like this course. Its provides a good base for pattern discovery, with useful high level techniques, this can be used as a starting point.

Something to improve can be incorporating at least one lesson with best practice coding techniques to solve the practical exercises.

It's an introductory course to key Pattern Discovery techniques with a comprehensive coverage of important subjects. However, it should be complemented by following the referenced material in order to obtain a wider and more complete picture of the field.

There are only two programming assignments. One more assignment will gives learners much more confidence I guess. But there are no other similar courses in MOOC. So, worth to take it.

I learned a lot from this lecture. And I believe the lecture is excellent except that if he could become a little bit funny, then it would be perfect. Thanks,

Clark

It is a good course but more knowledge are expected to be filled, e.g, some algorithm can be detailed or illustrated with simple-case instantiation.

The course is relatively easy to understand and points out the direction for further study.

Large variety of algorithm presented. Good study material recommendations. Fun assignments.

Excellent course that summarizes a very broad and complex topic. Definitely recommend.

Good course. The explanation for the optional programming assignment is very poor.

The course exercises are medium-hard. But the topic coverage is spot on.

OK course, some lectures with too much breadth at the cost of depth

Should be more support in the forum for quiz and assignement

Sigh, algorithms are not a walk in the park!

Too much material. Not enough real examples.

I don't really like the Programming Assignment of this course.

I have took over one month to figure it out, and the feedback system don't even provide me any help. The day that I have registered for this course, the coding is still new to me although I have got the training like 1 year thanks to Andrew Ng. And I could only used MATLAB/Octave or Python to solve the quiz. I have tried to use MATLAB to finished this course, but I failed many times. Finally, I have decided to use Python to solve this PA, and the algorithm is still hard for me to complete, so I used the python tool that with the algorithm in it and fix a little.

I believe that this course is a really good course, and Jiawei Han is a real kind person. BUT even for some other courses, we got a startup(like Andrew Ng's Machine Learning Course and Koller's PGM).

However, besides the PA, the rest of the course is really worth taking. I read the books for times and figured out that it indeed help! Though, it is hard for a new student. You should have to dive deep into the course which you should read more about this subject. Jiawei Han's work is only a startup.

Thank you very much.

Course content too dense with many lectures serve as mere summary of advanced papers with little explanantion of technical terms. Too much mention of advanced topics with not enough coverage and depth for each topic

There are not many examples of the algorithm/of a case that can be solved using an algorithm. Little math is involved

Course should be longer (6 weeks) with longer lectures with more examples and exercises

This makes the content quick to be forgotten.