Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição Universidade HSE
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Melhores avaliações
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.
One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.
126 — 150 de 194 Avaliações para o Processamento da Linguagem Natural
por CL G
•Fascinating and fun.
por Cindy P
•お疲れ様です。ありがとうございます。
por 张芃捷
•So good progress!
por Yu Q
•Very good course!
por 芦昌灏
•wonderful course！
por Narjes K
•Very good course,
por Rik K
•Enjoyed it a lot!
por Vignesh V
•Excellent Course.
por boulealam c
•this is great !!
por Bharanidharan S
•Excellent course
por Lucas B M
•Very good course
por Patrick H
•Awesome course.
por Arif R
•Excellent !!!
por Alek R
•great course!
por Max P Z
•Great course!
por Laura C
•Good job!
por haiya1994
•very good
por 过群
•OMG!!!!!
por Rifat R
•Awesome
por Владимир В
•super!
por Krishna H
•Good!
por Joe W
•Amazing course!! This course introduces both classical and deep learning approaches in NLP and discusses the connection between the two. The homework is generally very well designed. The final project requires deployment in production which is a nice experience to have for real world application even though I was hoping for more in-depth model building based on the materials in the tutorials (perhaps this is covered in the honors project). One recommendation is to update the materials to include BERT, ELMO and transformers from the last two years. I know it is difficult to stay up-to-date given how fast the NLP field develops. However, this course provided enough background knowledge to learn those new topics on our own. All in all, very enjoyable learning experience and I am already applying some of the skills in my day job. Thanks so much!!
por Ivan S F
•The course is good. The course is worth taking. However, it is way too dense. There are very complicated concepts explained in too little time with too little context. I would suggest to break down the course into 3-4 courses within a specialization providing more examples, more context, more exercises to fully understand the material.
The final project is a nightmare where multiple different parts (amazon web services, tmux, docker, etc.) have to work all together. Not unexpectedly, a full range of errors, problems, and roadblocks arise when all these different parts have to work together for the project to work.
I finished the course including the final project and I am happy I took this course. However, the final project should have been better thought out before releasing it.
Thank you Anna and all the teaching staff for the course.
por Lefteris L
•This course offers a really good intro to all of the state of the art techniques used in NLP. Its course is structured by heavy impact papers from the literature and the instructors do a really good job in explaining.
The quizzes are good and help you understand the material.
If there is one thing I didn't like in this course, it was the programming assignments. Their structure was really big and aimed really long. Thus, I often felt that I didn't know what I was doing and for what reason. The assignments from Andrew Ng's Deep Learning's Specialization "Sequence Models" course were far better and helped me gain much intuition on how to code real tasks.
por Зубачев Д С
•It was a good course. All in one breath. I would like to have more practical tasks in which you need to write more code yourself, and not just fill in the missing cells. Of course, I am very grateful to Anna and Andrey for their work. Separately, we would like to note the penultimate task-the final project. It is complex and interesting. I believe that it would be correct to use the computing power of Azure instead of AWS.
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