Great course, could improve the last week with more practical examples.

The class was great. However the assignments had a lot of problems.

Awesome course..It is a good start for NLP. Comprehensively covers all topics. The Autograder for the programming assignment needs

Great course, but expect to spend a lot of time on the assignments because of errors/bugs in the questions/autograder.

Awesome

NA

The course presented a good content for beginners in NLP and I feel confident to start using what I learned in my work. But, the grader for the assignments is too slow and buggy, this should be fixed so new learners don't feel frustrated. In addition, for assignment 4, the lda trainning parameters are not viable for trainning in coursera's environment, it should be reviewed.

Good course. Most part of the learning comes from personal work on the assignments (time vastly underestimated)

Is difficult, but good.

Great instructor, but the assignments are a big jump from the course notebooks in terms of difficulty. I also faced numerous issues with the autograder. In the last module, there were wrong pieces of code in the notebook and module (like ROC score being calculated from model.predict() instead of model.predict_proba()).

Good topics and well explanations. A Notebook to support content of week 4 is definitely needed. More explanations in assignment for week 4 is needed. In general, week 4 lacks of organization and good content. that is why I give 3 stars instead of 5

Some of the topics where elaborated very briefly. There was not enough practical examples and instructor was no clear in what he was saying.

I will not say that I did not learn anything. I just wish the autograder was a little better. Basically, quite frustrating to fight a black-box grader. An example of a better autograder is the one implemented by the Princeton people for their algorithm courses.

I found this course to be a good introduction to NLP. The lectures where fine as such, but lacked in technical focus making it difficult to tie them to the homework. I expect this is the style of the professor. The homework problems where good, but you do need to work to put it together with the lectures.

The contents are good, but the online autograding system really need to be improved.

Some topics are hastily explained and maybe more content was needed in this course.

I learned some useful stuff in this course but I think it could be a little more deeper and teaching more behind theorems especially for week 4.

Week3 and 4. Too much of strange bugs with the auto grader. Not enougth examples...

Lectures are good but the assignment of week1 and week 4 is a little bit absurd and unclarified. Autograder is too slow.

Good for basic understanding only

Most assigmets were not in the notes. Still everyhting seems really usefull.

Graded assignments need more grounding in practically applicable situations.

The course would be significantly improved if there were more hands-on demos during the lectures. Lectures are very high-level and aren't terribly useful when trying to do the lab exercises.

Good content.

Had to spend way too much time fighting the auto-grader.

good training