It's a comprehensive course on NLP. The instructors clearly explain both the traditional/classical approaches and modern approaches such as neural networks in NLP.
One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.
por Arnaud R•
Great course !
Learned a lot. Removed one star because I felt they tried to jam too much content into 5weeks which resulted in some content to be rushed and given only a singular question in a quiz. The course would have deserved 1 or 2 more weeks to dilute the content a bit.
However you ll still learn very relevant skills in the assignements and the course provide a lot of links for you to learn more in X or Y subject.
por Neel K•
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.
por Joana N R•
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.
por Игнатовская В А•
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!!!!
por Fernaldy A F•
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..
por Vivek G•
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.
por Mark Z•
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).
por João B P M J•
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.
por Zhaoqing X•
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.
por Akash S•
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.
por Helmut G•
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.
por Mika R•
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.
por PLN R•
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!
por Ajeet s•
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.
por Armughan S•
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.
por Ahammed J•
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.
por Santoshi29 K•
explanation on Fundamentals are good.. it would be better if models and methods are explained by applying them to some real time examples.
por Hampus L•
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!
por Raúl A C G•
Really nice course, you might want to add some more tips in the programming assignments but beside that really awesome content
por Ruperto P B C•
It is a very good course. My only request is related to update the tasks along the course to use Tensorflow 2.0
por Archana C•
More detailed explaination for week 5 project required. a video can be released for AWS use.
por Francisco R•
Time estimated for assignments is well below the actual time taken to complete them.
por Johannes J•
I learned a lot. The tasks are challenging, but somehow manageable. Thanks!
por Ahmad A•
More detailed slides and longer elaborating of ideas can be an advantage
por Ankit G•
Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling