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Отзывы учащихся о курсе Обработка текстов, написанных на естественных языках от партнера НИУ ВШЭ

Оценки: 802
Рецензии: 204

О курсе

This online course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. The final project is devoted to one of the most hot topics in today’s NLP. You will build your own conversational chat-bot that will assist with search on StackOverflow website. The project will be based on practical assignments of the course, that will give you hands-on experience with such tasks as text classification, named entities recognition, and duplicates detection. Throughout the lectures, we will aim at finding a balance between traditional and deep learning techniques in NLP and cover them in parallel. For example, we will discuss word alignment models in machine translation and see how similar it is to the attention mechanism in encoder-decoder neural networks. Core techniques are not treated as black boxes. On the contrary, you will get in-depth understanding of what’s happening inside. To succeed in that, we expect your familiarity with the basics of linear algebra and probability theory, machine learning setup, and deep neural networks. Some materials are based on one-month-old papers and introduce you to the very state-of-the-art in NLP research. Do you have technical problems? Write to us:

Лучшие рецензии

23 мар. 2018 г.

Great thanks to this amazing course! I learned a lot on state-to-art natural language processing techniques! Really like your awesome programming assignments! See you HSE guys in next class!

2 авг. 2020 г.

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.

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51–75 из 204 отзывов о курсе Обработка текстов, написанных на естественных языках

автор: Cherukumalli S

23 авг. 2020 г.

This best NLP course I can find in the internet, the team is great. They explain everything from basic mathematics to implementing research papers. If you want to take this course you should have basic concepts of python, deep-learning and mathematics(even thought they explain).

I am pretty much confident to working with text data.

Thank you HSE team for preparing a good Advanced Machine Learning Specialization.

All in one place.

автор: Amartya C

18 февр. 2019 г.

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 !!

автор: Raimondo M

3 авг. 2020 г.

Great Course on Natural Language Processing!

It requires an advanced knowledge of Statistics an Probability to be fully appreciated.

Assignments are tough but worth the effort.

On the downside:

1) the course needs to be updated with bleeding-edge technology like Transformers, Transfer Learning Techniques, BERT, GPT , ecc..

2) it uses Tensorflow 1.X version

3) The peer grading is a little bit tacky !

автор: Alan H

18 дек. 2019 г.

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!

автор: Gennadiy

21 нояб. 2019 г.

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.

автор: Dong W

17 мая 2018 г.

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.

автор: Dmitry N

30 окт. 2019 г.

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.

автор: Ernst O

4 нояб. 2019 г.

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!

автор: Aayush F

28 июня 2020 г.

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!

автор: Bhargav U

6 окт. 2018 г.

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.

автор: Wei-Lin C

26 окт. 2018 г.

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.

автор: Hrithik A

29 мар. 2020 г.

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.

автор: Nilesh G

6 июня 2020 г.

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

автор: Bob F

29 мар. 2018 г.

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!

автор: Matúš Ž

15 апр. 2018 г.

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.

автор: Lukas K

3 авг. 2019 г.

This course has really nice summarization of usage different approaches for solving NLP problems. The only thing a little bit over is the final assignment, which contains AWS and Telegram integration.

автор: 김현욱

18 июля 2019 г.

In this course, I can learn general Natural Language Processing (NLP) concepts and related programming. I think that this course is good start for NLP, so I recommend this course to new NLP starter.

автор: Ge Y

24 мар. 2018 г.

Great thanks to this amazing course! I learned a lot on state-to-art natural language processing techniques! Really like your awesome programming assignments! See you HSE guys in next class!

автор: yang

2 янв. 2019 г.

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.

автор: Tamara H

16 мая 2020 г.

thanks to main organizers and all the time that they've spent on making this course and answering the questions. I think that's a great balance between maths and programming!

автор: Dittaya W

2 авг. 2020 г.

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.

автор: Jiaming K

5 авг. 2019 г.

I think this course helps me a lot in understanding the basic of NLP. I hope the next version of it will cover topics like BERT and a like transformers!

автор: Ari W R

30 авг. 2020 г.

That is so cool for all of the material that is include in this course. I hope can apply the knowledge that i get from this course as max as possible.

автор: Melesio C S

11 нояб. 2018 г.

I really liked this course, since it has many practical examples in how to apply nlp tasks for real applications. I highly recommend this course.

автор: NISARGA J

10 июля 2020 г.

It was very fun learning in this website,it did boost my confidence and was very helpful in mastering the course! Glad that i choose Coursera.