Jan 02, 2019
I like this course very much. It is a good introduction for NLP. But if you want to know more about the NLP, you need to search and read a lot of posts during the learning process.
Dec 18, 2019
One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.
创建者 Seongeun S•
Aug 28, 2018
Great introduction to NLP. But NLP is too huge topic so need to study more about this when really want to work at company.
创建者 Patrick R•
Jun 14, 2018
Very interesting, qquite advanced and you need to invest time for the assignments, but worth it in my opinion
创建者 Snigdha R•
Jun 30, 2020
I would not recommend this course to anyone who wishes to learn Natural Language Processing. The instructors do try to explain well, but the content itself is not structured well at all.
While mathematical knowledge is necessary, this seems to be the primary focus of this course, as opposed to practical experience. The assignments are ridiculous, with no relation to the course material, and concepts that require learners to spend hours trying to decipher. If documentation and wiki links were all that were required, people wouldn't be paying to learn the subject.
All they asked was to execute normal Python mathematical functions, with no explanation as to why. I do not feel good about completing this course. It felt like a complete waste of time and I have not gained any experience at all.
创建者 Udaya B S•
May 18, 2020
There was a lot of emphasis on mugging up formulae instead of visually explaining how they work. Even the Tensorflow exercises felt pretty convoluted. Circa 2020, there are many better ways to write the same TF code in a very legible and easy to understand way. This course needs a major refresh.
创建者 Thomas Z•
Apr 27, 2020
NLP ist very interesting.
BUT this course is a pain.
Material is from 2017, partly in Russian,
sometimes not working or need enormous time invest to make it running.
创建者 MHD K M•
Mar 21, 2020
I didn't like the teaching way!
创建者 Qalb E A•
Jun 08, 2020
They aren't teaching codes. Just theory!
创建者 Martin t H•
Sep 30, 2018
Excellent course. It is clearly advanced and the student is expected to know about many concepts/technologies before starting.
The lectures treat state-of-the-art methods for NLP using (deep) ML in a high-level fashion without going too far into the details. For this reason the course is good for learning about the availability of methods and how they work in the broad sense, but if the student wants to know more he/she should read the accompanying papers. I enjoyed listening to both lecturers since they were speaking clearly and with good structure. However, sometimes I lost them because they went over some of the mathematical topics quite quickly.
The assignments are great as well. Their level matches the expected level of an advanced ML course. Through the assignments I got a good idea of how to perform NLP in practise with the latest tools. An improvement could be giving the student more freedom in how he/she tackles the assignment (though I understand it makes reviewing more difficult).
In addition I think it would be good if there are multiple tests that check the same theory over the whole course. After each week I could make the quiz quite easily because the knowledge was fresh in my head, but if I had to make them again now it would be much more difficult.
创建者 Jakub B•
Oct 21, 2018
This course is truly awesome. I tried to find a MOOC that would cover both deep learning and prior methods for NLP, but this one is the first that did. It does that very well, too - it is really comprehensive about topics that it touches - even if you know something about DL in NLP you can find something new, and the coverage of advanced techniques is outstanding.
One thing could be better though - I think that programming exercises are too easy (some parts are easily solved by plugging couple lines of code). On the other hand the last assignment is probably one of the most interesting programming tasks I've seen on courses (you need to implement a chatbot so that reviewers can actually talk with it). Also the last assignment can be expanded using more advanced methods in second task, which belongs to honors track, so you can, but you don't have to make it more challenging.
创建者 Leblanc M•
May 02, 2020
Great course ! It is a good introduction to NLP, from the basics to elaborate models. It also provides contents to further explore the topcis and other models. The assignements and quiz are challenging, but with if you have time you will pass them with the help of the staff and the forum.
The last assignement is quite hard, because it involves a lot of setup (AWS Linux instance, Docker, etc.), and more explanation materials could be useful. But it also force you to understand deeper the construction of the chatbot, making you learn more than just the NLP part.
创建者 Sifundo M•
Sep 20, 2019
This is a super excellent course, it does not only introduce you to natural language processing but takes all the way to be advance, in such a way that you can curate a bot straight from your mind, having no hardship thinking about the concept, i love the fact that this course does not spoon feed but gives enough information, to spark curiosity, in a way that you find yourself studying to master, through external sources, different views i loved it
创建者 Xia H•
Jun 15, 2020
This course might be one of the most challenging courses I've attended in Coursera. I've got so much practical experience. I always want to learn docker, AWS. This course 'forced' me to get to know them. I am very happy to build my first chatting bot with a lot of effort. It is worth with my time, I think. In the assignment tensorflow 1. is used which is a bit outdated. This is the only downside. Thank you teaching teams for such a great course!
创建者 Amartya C•
Feb 19, 2019
It is a great course having both mix of traditional ML and deep NLP approaches (the new might be better but we need to know the prevalent ways a decade ago!). Should keep the content updated with always developing field of NLP. Assignments are really useful to understand the subject and stays as a starter code for new projects you wanna start. I would like to convey my thanks to the instructors !!
创建者 Alan H•
Dec 18, 2019
This course is incredibly informative and has been instrumental in allowing me to really understand what different NLP methods are doing under the hood. It is difficult and takes a lot of time, but the programming assignments will give you code that you can apply to a bunch of your own applications, and you'll have the understanding to know when each technique is appropriate!
Nov 21, 2019
Nice course. Thanks a lot. Great teachers/mentors, amazing exercises, I enjoyed every minute of the course. At the end of the course provided a list of papers and research materials with some trends in the field. Those people from HSE save a lot of time digging around the web to get a clear understanding of weaknesses and strong sides of modern NLP approaches.
创建者 Dong W•
May 17, 2018
nicely organized! amazing course. I am doing my PHD in NLP, and I had prior NLP classes in coursera, but I still can learn quite a lot knew things from this course. It gives NLP from another perspective, and it is really up-to-date with deep learning and tensor flow. Love such classes. Hope there are more classes offered from these instructors.
创建者 Dmitry N•
Oct 30, 2019
Naaah, OK 5 out of 5. You, guys, are OK. Teaching stuff is great. And you are actually giving theoretical background, as Andrew Ng does. He might just have a bit more examples. But, I think, it was your first shot. And next course done by you, guys, for instance about GANS, will have a lot of examples. Thanks again.
And looking good, you both.
创建者 Ernst O•
Nov 04, 2019
Course has a high pace, and exposes students to many state-of-the-art as well as classic topics. Only topic missing are the recent BERT/ELMO models. This should be included. The lectures are good, but often cover too much ground to be understood fully, without further reading. Nice assignments. All in all worth it!
创建者 Aayush F•
Jun 28, 2020
It's great, because it takes you over statistical ML also, instead of going straight for an LSTM, ot Transformers and the like. This leaves students capable of developing less compute intensive solutions, that can be deployed cheaply on AWS or other cloud infrastructure. The final project was great!
创建者 Bhargav U•
Oct 06, 2018
This is one of the best MOOC I have ever taken. The target audience for the course are the one who are already handy with Deep learning, tensorflow and python programming. Many advance topics are discussed in good depth, as the topic NLP is vary broad area so not possible to cover all the topics.
创建者 Wei-Lin C•
Oct 26, 2018
Course is quite challenging for student without computer programming background. However, the knowledge in the course and the assignment for practicing could enhance the programming skill and eventually let you build a chat-bot with sufficient knowledge. Thanks for the materials. Very useful.
创建者 hrithik a•
Mar 29, 2020
This course is on of the finest course that i have done in context of ML and NLP. I would like to thank all the Course instructor for their wonderful Content and crystal clear concepts. The lectures were so intuitive and promising and i will highly recommend this course for NLP enthusiastic.
创建者 Nilesh G•
Jun 06, 2020
Nice content, effective content delivery, hands on projects in each assignment which will help to build the final project, link of research papers which will really helpful to get detail insights of topics.
Strongly recommend to learn new technological stuffs...Thanks to all my Teachers
创建者 Bob F•
Mar 30, 2018
Thanks for a fantastic course! The lectures were amazing clear and well organized and covered exactly the topics most important to me in my current work. The homework assignments were designed perfectly to challenge and inspire.Great job!
创建者 Matúš Ž•
Apr 15, 2018
I really recommend this course. They cover latest papers in NLP as well as both statistical and neural approaches to current NLP problems. There are also assignments where you can apply what you learned in practice.