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.
교육 기관: 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.
교육 기관: 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!
교육 기관: 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
교육 기관: 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
교육 기관: Archana C•
More detailed explaination for week 5 project required. a video can be released for AWS use.
교육 기관: Francisco R•
Time estimated for assignments is well below the actual time taken to complete them.
교육 기관: Johannes J•
I learned a lot. The tasks are challenging, but somehow manageable. Thanks!
교육 기관: Ahmad A•
More detailed slides and longer elaborating of ideas can be an advantage
교육 기관: ankit g•
Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling
교육 기관: Daksh M•
It has less content on abstractive summarization.
교육 기관: Pranay R K•
Good content, but need to update the course
교육 기관: GUDURU B R•
very hard .must have a lot of prerequisites
교육 기관: Alejandro G•
Nice introduction and very practical
교육 기관: Wei Z•
Good but some content felt rushed
교육 기관: Himanshu B•
Nice course for leaning NLP! :)
교육 기관: Luis M R C•
교육 기관: Rashmisai B•
교육 기관: Mikhail V•
1. This course requires very large math background which I miss. It did not work for me at all.
2. I expected deep and complex explanation of the meaning, pros and cons, applicability of various natural language processing techniques to the real life problems.
In this course it goes like: few seconds of explanation for a model/algorithm/technique. Next long juggling with math formulas. Next a quiz requiring some calculation on a paper. And finally a practical task in jupyter (which were great).
I understood the first week quite good because I did a lot of it on an NLP-related project.
Second week - I caught myself that it is easier for me to fast-rewind the video with all the math and next find some guy from India at YouTube who explains the same topic in details. I solved the practical assignment on Tensorflow mostly without understanding what I am doing by Googling/reading articles/using the hints of the authors of the course and it worked. The same I did for the Quizes.
On the third week I decided to leave it and find something more suitable.
So: If this is intended for science people who are going to do researches in NLP - then this course is too broad, too fast and lacks of details on the topics explained.
If this is for practitioners like me - then there is too much of math while the provided approaches are already implemented in libs and the python assignments confirm this. And at the same time - too little time spent on each topic to not require learning somewhere else.
And there is almost no research on the applicability of this to the complex real world problems and new ideas while the provided examples are the few very known ones.
교육 기관: Luke B•
This was a good class, and I want to give it more stars, but the default path for completing the final project requires far more time than the course specifies, making it difficult to properly manage one's time.
교육 기관: omar f•
The course material overall is good. However, the assignments are not very beneficial from my point of view.
The peer review is totally a mess -no one really review an assignment-
교육 기관: Ravi K R B•
Good and useful content but weak quality in providing directions in assignments and zero help
교육 기관: RASHMI A•
it was good but wanted programming vedeos rather than completely theory.
교육 기관: Y P R•
Theoritical explanation was good but we expect practical explanation
교육 기관: Oleksandra P•
The lectures were fine (content wise) even though a little challenging to comprehend, but programming assignments are completely outrageous. Unlike in specializations from other universities where you can check the quality of your code in every step of assignment (e.g. make sure input/output shapes are correct, datatype is optimal etc.), here they just give you a large notebook with few missing lines which you have to fill and if something's not working - good luck figuring all out completely on your own. Staff was irresponsive and not helpful. Therefore I will have to unenroll.
교육 기관: Joris D•
This is a very good course, brought with clarity and humour, and excellent quizzes and assignments to assess your understanding of the material. The big problem it has is the final project, which requires you to run a piece of software on an AWS free tier server. An impossibility, because the software requires more memory than Amazon offers in its free tier. Moreover, as it crashes every few hours, peer reviewers can find it not working and have to contact you to restart it. Constant monitoring for several days is required.