Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição Universidade HSE

Course is well organized. Just some problems are related to assignments, There no exact guided steps for assignments and quiz. Lectures are more concerend about theory and less about pragmatic problems. Please make discussion forums active and more connected. Course does not have option to send message to anyone personally take help and advice which is something unrealistic.

Very complete course. Wish the instructors would provide more support and answer our questions in the discussion forums. The exercises seemed a bit complex in comparison to the lessons. Overall, great theoretical course. Loved the lessons, the practical quizzes and programming exercise not so much. Definitely recommend if you want to get familiar with NLP techniques.

There were basic introduction as for me, without almost any proofs and mathematical constructions. It was interesting but after this course actually I can't say that now I can do it from the beginning to end for myself, only some functions to include in existing code. Last instruction about AWS was terrible! There were too many questions about it!!!!

Great course but not easy one.. You must have required knowledge..

You need extra effort to finish quizzes or assignments, and also search in forum discussion or internet..

I think, the lectures are too theoretical, but that's good if you are curious or researchers that need to know about state of the art related NLP..

Overall this is worthy to take..

The course seems tough when you think just to learn from the slides, but in actual you need to learn a lot from the papers published for that topic. Overall the course was tough if you directly come to this 6th course of Machine Learning specialisation. The course tutor were very good, and explained with the best possible examples.

Overall great intro to NLP. Basic techniques like word embeddings and attention are explained quite well. However, some topics are not really easy to remember from this course, such as Topic modeling using LDA (which I understood much deeper during Bayesian Methods for Machine Learning course from the same specialization).

I think the provided material needs to be updated. Specially the material concerning TensorFlow. Many subjects and assignments let us wondering too much because it because there is a mismatch between the theoretical and the practical, and because the TensorFlow isn't updated it was hard to find additional help online.

It's a very nice course! It involves so many aspects in NLP, and the assignments are especially valuable. The only thing I'm not satisfied is that it lacks enough help from the material and the forum when I got a bug from my assignments or confused by the instruction.

Very good course!! A big thanks to all the instructors. However I feel the course covered a lot of stuff which affected its focus. May be it would have been better to focus on fewer techniques but in greater detail both in theory and assignments.

Nice course. However, trying to pass the assignments can sometimes feel like a nightmare, because there is no feedback from the grader that would lead you into the right direction. Luckily you can get useful information in the discussion forum.

I would recommend the mention of the library version in each given code to avoid the wrong use of the arguments and even attributes. For instance tf 2.0 do not have contrib and yet in certain part of the code, we are "required" to use that.

Anna and group is great at teaching. However, a lot of graded assignments were a lot ambiguous with many important details missing. It would be a lot more helpful, if the content needed for assignment is explicitly mentioned! Thank you!

The course is very nice. I wish there were some more examples in slides to understand the working of algorithms. Maybe its advance that's why I felt it.

If notes of every week were available then it would have been very beneficial.

The course had an advanced content and was taught at a good pace. Though there are some concepts which were not elaborated and needed to be understood from different sources.

This is basic to advanced level course. you should have significant amount of knowledge in the field, if not you have to do additional research .Over all good course.

explanation on Fundamentals are good.. it would be better if models and methods are explained by applying them to some real time examples.

The course was great. Perhaps it'd be nice to combine the lower level with some higher level Deep Learning framework at the end. Thanks!

Really nice course, you might want to add some more tips in the programming assignments but beside that really awesome content

It is a very good course. My only request is related to update the tasks along the course to use Tensorflow 2.0

More detailed explaination for week 5 project required. a video can be released for AWS use.

Time estimated for assignments is well below the actual time taken to complete them.

I learned a lot. The tasks are challenging, but somehow manageable. Thanks!

More detailed slides and longer elaborating of ideas can be an advantage

Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling

It has less content on abstractive summarization.