Chevron Left
Volver a Procesamiento de lenguajes naturales

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.

Filtrar por:

201 - 204 de 204 revisiones para Procesamiento de lenguajes naturales

por Oleksandra P

2 de may. de 2020

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.

por Joris D

22 de sep. de 2019

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.

por fahimeh g

5 de mar. de 2021

really complicated explanation and very hard to understand.

por SANJANA Y

1 de oct. de 2021

They make VERY COMPLEX PROCESS TO START COURSE.