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Opiniones y comentarios de aprendices correspondientes a Procesamiento de lenguajes naturales por parte de HSE University

4.5
estrellas
801 calificaciones
204 reseña

Acerca del Curso

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: coursera@hse.ru....

Principales reseñas

GY
23 de mar. de 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!

DW
2 de ago. de 2020

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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176 - 200 de 204 revisiones para Procesamiento de lenguajes naturales

por Armughan S

19 de may. de 2020

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

24 de abr. de 2020

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

21 de mar. de 2019

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

6 de jun. de 2019

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

28 de dic. de 2020

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

3 de abr. de 2020

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

23 de jun. de 2020

More detailed explaination for week 5 project required. a video can be released for AWS use.

por Francisco R

21 de ago. de 2018

Time estimated for assignments is well below the actual time taken to complete them.

por Johannes J

14 de ene. de 2019

I learned a lot. The tasks are challenging, but somehow manageable. Thanks!

por Ahmad A

30 de jul. de 2020

More detailed slides and longer elaborating of ideas can be an advantage

por ankit g

18 de nov. de 2018

Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling

por Daksh M

6 de abr. de 2019

It has less content on abstractive summarization.

por Pranay R K

26 de jun. de 2020

Good content, but need to update the course

por GUDURU B R

1 de jun. de 2020

very hard .must have a lot of prerequisites

por Alejandro G

16 de may. de 2018

Nice introduction and very practical

por Wei Z

22 de ago. de 2018

Good but some content felt rushed

por Himanshu B

19 de dic. de 2019

Nice course for leaning NLP! :)

por 4NM18CS100 N K

20 de dic. de 2021

great

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por Luis M R C

26 de ago. de 2020

Great

por Rashmisai B

29 de mar. de 2019

good

por Luke B

2 de jun. de 2019

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.

por omar f

2 de sep. de 2019

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-

por Ravi K R B

7 de ago. de 2019

Good and useful content but weak quality in providing directions in assignments and zero help

por RASHMI A

3 de ago. de 2020

it was good but wanted programming vedeos rather than completely theory.

por Y P R

22 de ene. de 2020

Theoritical explanation was good but we expect practical explanation