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Natural Language Processing

This course is a part of Advanced Machine Learning, a 7-course Specialization series from Coursera.

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: [email protected]

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Higher School of Economics

Rating 4.5 based on 123 ratings
Length 6 weeks
Effort 5 weeks of study, 4-5 hours per week
Starts Nov 18 (4 weeks ago)
Cost $49
From Higher School of Economics, National Research University Higher School of Economics via Coursera
Instructors Anna Potapenko, Andrei Zimovnov, Anna Kozlova, Sergey Yudin, Alexey Zobnin
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Algorithms Machine Learning

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What people are saying

According to other learners, here's what you need to know

very good course in 7 reviews

Very good course!!

Very good course!

Very good course with broad introduction of the state of the art technologies for NLP.

the best nlp online course Very good course with tough assignments.

Very good course, Very well planned course and team support specially Anna Ma'am.

Very good course with challenging assignments Great course but not easy one.. You must have required knowledge..You need extra effort to finish quizzes or assignments, and also search in forum discussion or internet..I think, the lectures are too theoretical, but that's good if you are curious or researchers that need to know about state of the art related NLP..Overall this is worthy to take.. Great introduction to NLP.

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natural language processing in 6 reviews

The course gives an introduction to the various types of modern statistical models used in natural language processing, including tagging, named entity recognition and machine translation.

Nice introduction and very practical 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 :-) .

This is a great course overall and I would recommend it to all people interested in Natural Language Processing.

This course covers many topics from Natural Language Processing & Information Retrieval.

In this course, I can learn general Natural Language Processing (NLP) concepts and related programming.

Natural Language Processing is very interesting and this is a wonderful course.

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deep learning in 6 reviews

It gives NLP from another perspective, and it is really up-to-date with deep learning and tensor flow.

Perhaps it'd be nice to combine the lower level with some higher level Deep Learning framework at the end.

The target audience for the course are the one who are already handy with Deep learning, tensorflow and python programming.

Amazing course lot of stuff to learn and it is very interesting with a good mix between the classical tools of NLP and more advanced one like deep learning.

Very good advanced course on NLP covering both statistical and deep learning modeling approaches.

Check the pre-requisites because this is an advanced course requiring some previous knowledge of NLP, linguistics, machine learning, deep learning and above all python programming and some AWS and Docker basic knowledge.

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recommend this course in 5 reviews

I really recommend this course.

I will not recommend this course if your aim is to LEARN NLP.

I think that this course is good start for NLP, so I recommend this course to new NLP starter.

I highly recommend this course.

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final project in 4 reviews

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.

The final project is great!.

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highly recommended in 3 reviews

Highly recommended.

Highly recommended!

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Coursera

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Higher School of Economics

Rating 4.5 based on 123 ratings
Length 6 weeks
Effort 5 weeks of study, 4-5 hours per week
Starts Nov 18 (4 weeks ago)
Cost $49
From Higher School of Economics, National Research University Higher School of Economics via Coursera
Instructors Anna Potapenko, Andrei Zimovnov, Anna Kozlova, Sergey Yudin, Alexey Zobnin
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Algorithms Machine Learning

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