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Natural Language Processing

Anna Potapenko, Andrei Zimovnov, Anna Kozlova, Sergey Yudin, Alexey Zobnin, and Зимовнов Андрей Вадимович
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,...
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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: [email protected].
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers text classification, named entities recognition, and duplicates detection, which are crucial skills for data scientists and NLP engineers
Well-suited for learners with a foundation in linear algebra, probability theory, machine learning setup, and deep neural networks
Provides a blend of traditional and deep learning techniques in NLP, making it well-rounded
Offers hands-on experience through practical assignments, which allows learners to apply their knowledge
Final project involves building a conversational chat-bot for StackOverflow search assistance, providing practical relevance
Taught by instructors with expertise in NLP, indicating the course's credibility

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Reviews summary

Challenging but comprehensive: nlp course

This Natural Language Processing course provides a comprehensive overview of the field, covering a range of topics from basic concepts to advanced techniques. The course is challenging, but the instructors do a good job of explaining the material and providing helpful examples. The assignments are also challenging, but they are a good way to test your understanding of the material and to apply what you have learned. Overall, this is a great course for anyone who wants to learn more about NLP. However, it is worth noting that some of the material is quite mathematical, so you will need to have a strong foundation in math to succeed in this course.
Course content is up-to-date with the latest research and practices.
"The content was really deep and up to date with the latest research and practice in the real world."
Instructors are experts in the field and provide clear explanations.
"The course had an advanced content and was taught at a good pace."
"Dr. Michael Collins is well-renowned in the world of NLP."
Assignments are challenging but help to reinforce learning.
"Assignments are tough but worth the effort."
"Nice content, effective content delivery, hands on projects in each assignment which will help to build the final project"
Covers a wide range of topics from basic to advanced.
"Pretty comprehensive. Unlike common beginner online courses, this course delves a bit more into the math and explores state-of-the-art papers at the time of publishing the course."
"Really nice course, you might want to add some more tips in the programming assignments but beside that really awesome content"
Concepts are advanced and require a strong background in math.
"NLP ist very interesting.BUT this course is a pain."
"This course might be one of the most challenging courses I've attended in Coursera."

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Learners who complete Natural Language Processing will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
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Data Scientist
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Software Engineer
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Computer Programmer
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Data Analyst
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Business Analyst
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Product Manager
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Project Manager
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Technical Writer
A Technical Writer is someone who works in the field of technical writing to create documentation for software and other technical products. This course will help you learn about the theoretical foundations of technical writing and will give you hands-on experience implementing solutions to real world problems. Technical Writers are in high demand in many different industries, and this course will help you build a strong foundation for a successful career in this field.
Marketing Manager
A Marketing Manager is someone who works in the field of marketing to develop and execute marketing campaigns. This course will help you learn about the theoretical foundations of marketing and will give you hands-on experience implementing solutions to real world problems. Marketing Managers are in high demand in many different industries, and this course will help you build a strong foundation for a successful career in this field.
Sales Manager
A Sales Manager is someone who works in the field of sales to lead and motivate a team of sales representatives. This course will help you learn about the theoretical foundations of sales and will give you hands-on experience implementing solutions to real world problems. Sales Managers are in high demand in many different industries, and this course will help you build a strong foundation for a successful career in this field.
Customer Success Manager
A Customer Success Manager is someone who works in the field of customer success to ensure that customers are satisfied with a company's products or services. This course will help you learn about the theoretical foundations of customer success and will give you hands-on experience implementing solutions to real world problems. Customer Success Managers are in high demand in many different industries, and this course will help you build a strong foundation for a successful career in this field.

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