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自然言語処理 に戻る

自然言語処理, ロシア国立研究大学経済高等学院(National Research University Higher School of Economics)

4.6
363件の評価
84件のレビュー

このコースについて

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....

人気のレビュー

by 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!

by MV

Mar 18, 2019

Definitely best course in the Specialization! Lecturers, projects and forum - everything is super organized. Only StarSpace was pain in the ass, but I managed :)

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83件のレビュー

by Xinghao Gu

May 07, 2019

Are you kidding me? What are you talking about in courses? I have to re-study everything after each video because it just doesn't help you understand the theories at all.

by Yu Qinyuan

May 06, 2019

Very good course!

by Ajeet Singh

Apr 19, 2019

The course is very nice. I wish there were some more examples in slides to understand the working of algorithms. Maybe its advance that's why I felt it.

If notes of every week were available then it would have been very beneficial.

by Daksh Miglani

Apr 06, 2019

It has less content on abstractive summarization.

by Sudheer Kumar Reddy Challa

Mar 31, 2019

I have the best experience ever with the learning methodologies.

all over it was quite awesome.

by rashmi

Mar 29, 2019

good

by Jeremy Li

Mar 29, 2019

The assignments are great!

by santoshi kumari

Mar 21, 2019

explanation on Fundamentals are good.. it would be better if models and methods are explained by applying them to some real time examples.

by Milos Vlainic

Mar 18, 2019

Definitely best course in the Specialization! Lecturers, projects and forum - everything is super organized. Only StarSpace was pain in the ass, but I managed :)

by Lucas Bezerra Maia

Mar 13, 2019

Very good course