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Voltar para Processamento da Linguagem Natural

Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição National Research University Higher School of Economics

4.6
457 classificações
104 avaliações

Sobre o curso

This 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 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: coursera@hse.ru...

Melhores avaliações

GY

Mar 24, 2018

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!

YY

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.

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51 — 75 de {totalReviews} Avaliações para o Processamento da Linguagem Natural

por Samuel Y

May 04, 2018

The course covers traditional statistical techniques as well as some latest deep network methods, and gladly both the instructors speak good English on the course of Natural Language Processing :-) . The assignments of this course are also more guided and easier to follow than the previous courses of the specialization, meanwhile it will require quite a bit of environment setup efforts like docker and server to finish some assignments. Having access to some GPU machine/environment is recommended to speed up the training/testing process.

por Marcin G

Mar 29, 2018

This is an advanced course. Creators assume you have significant amount of knowledge in the field, if not you have to do additional research. The course covers most up-to-date achievements in the field of NLP. It covers widely used techniques of improving NLP performance. You get a chance to see interesting point of view from some of the best people in NLP. Well prepared and thought through material. Teachers are enthusiastic about the filed, which helps learning. Definitely worth taking if you practice language analysis.

por 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!

por Amulya R B

Mar 04, 2018

Great material, well taught, a lot of fun. The best specialization on Coursera for AI.

por 过群

Mar 07, 2018

OMG!!!!!

por Chan H Y

Mar 28, 2018

Excellent course materials and assignments

por Rik K

May 01, 2018

Enjoyed it a lot!

por Siwei Y

Apr 03, 2018

这是门很棒的课,那位女老师尤其教得好。虽然 technical dependencies 有点多, 但是总得来说是可以接受的。 题外话: Docker 简直就是个病毒, 能把你的电脑搞得莫名其妙。

por Patrick H

Apr 06, 2018

Awesome course.

por Alex

Mar 25, 2018

Very good lectures, video materials.

Covered interesting topics and have some challenging tasks.

por Abdul Q

Mar 03, 2018

An excellent course for the students who really want to learn the process of understanding how the intelligent machine works.

por 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.

por 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.

por MD. R K

May 28, 2018

That course is Amazing! I love it.

por Vignesh V

Mar 02, 2018

Excellent Course.

por Yu Q

May 06, 2019

Very good course!

por Jeremy L

Mar 29, 2019

The assignments are great!

por Deleted A

Mar 31, 2019

I have the best experience ever with the learning methodologies.

all over it was quite awesome.

por Василий Г

May 31, 2019

One of the best courses at Coursera platform I've attened.

por CL G

Jun 17, 2019

Fascinating and fun.

por David R M H

Jun 20, 2019

Thanks to everybody that was involved in the creation of this course!

por Karthik S

Jun 23, 2019

This course is perfectly structured with all necessary contents to develop your knowledge on NLP.

por Cleverson O C

Jun 24, 2019

Very good! Maybe a little more explanation on theorical parts.

por Hyunwook K

Jul 19, 2019

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.

por Lukas K

Aug 03, 2019

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.