Andrew Ng and his colleagues have delivered another excellent course - these really set the standard for online courses on machine learning. The concepts and coding are explained very clearly by the tutors, and the exercises offer a suitable level of challenge. The final assignment involves building an automated translation capability based on word vectorisation and hash tables, ie a potentially useful/usable capability.

The course is very well prepared and the assigments are really useful to understand the complexity about some of the concepts that are explained along the course. I strongly recommend this course to anyone interested in NLP it does not matter whether you have too many expertise in this specific field. Of course, having some knowledge about Machine learning, statistical modelling or any AI related-insight will be a plus.

The course does not teach me the NLP basic knowledge, it also help python beginner learning avoid mistakes. The course is well designed, I learning a lot though I already know the space vector and etc. I .

I sincerely thank for the team made this wonderful course! I fully believe e-learning will bring equalityto the all students on earth, especially to computer student. Because many things could learn from remote.

It was a wonderful experience. I learned a lot, I enhanced my knowledge on python, vectors and NLP. I also learned with my colleges in forums and Slack channels. I am sure that the knowledge I have acquired here I will be able to apply in my work and projects with NLP models. Thank Coursera, Deeplearning.ai and Stanford to bring that course. Thank to the professors Younes Mouri, Lukazs Kaiser and Eddy Shyu.

Wonderful! And I really love you add an feasible code and explanation of how to implement the experiment on my local computer. I also like you mentioned you stored some function in utils file, so I could also learn how to write this function by myself in order to run model on my own dataset! Thank you so much! This course is amazing!! I would definitely recommend this course to my colleague and friends!

At first I thought the pace was too slow and boring. But week 4 made things totally worth it. The material presented in that week was quite interesting and made me realize that I was underestimating the course. For example, I didn't know that you could use a hash function to approximate K-NN algorithm. Didn't have any troubles with uploading the graded material so this makes the course even better.

Before now, I was made to understand that NLP was pretty complex, maths-heavy, and difficult to comprehend. But the manner in which the instructors excellently broke-down the concepts and explained them with clarity makes me feel the opposite. THANKS A LOT for the awesome delivery. I recommend this course without any reservation. Can't wait to continue with the other courses in the specialization.

This is a perfect introduction! I have a fairly good mathematical background, some experience with data science and I was looking for a brief introduction to NLP. I enjoyed the presentation, the selected information and the applications. I also appreciated the mathematical details of some concepts and the high degree of applicability. You can start using the information/the code right away.

I was familiar with some probabilistic models for working with documents, but this course helped me manipulate documents using very simple and basic methods, like naive bays. Indeed it introduced some transformation methods, and methods to measure similarity between documents as vectors. I found the programming assignments worthwhile, because I could use what I during the week videos.

A very insightful course. The assignments are well thought and suiting the material, the great automatic grading provides fast results and enough feedback to move ahead. There are more than enough explanations and comments on the provided code, making it easy to understand the concepts and become comfortable with mathematical notations and the theory behind the algorhtms.

Great content. This course is excellent for anyone who is learning some of the fundamentals of NLP. However, if you have foundational knowledge in machine learning, this course will likely only serve as a refresher. I'm taking this course as part of the specialization with the expectation that the other courses will cover advanced concepts and state-of-the-art techniques.

The material given in this course is very straightforward and easy to understand. Although only the basics of NLP are covered in this course, the knowledge gained in this course can be implemented in more advanced techniques of NLP. I would like to thank instructors for good explanation and the assignment developers for great usability of readable code and autograder.

Really good content. Short, but very informative videos : perfect for people who can't dedicate a lot of time to the course. The format of the assignments is very beginner friendly(which is a good thing) but i wish the assignments were more full-on coding exercises, rather than filling in the blanks. Overall a perfect course for people getting into NLP!

I enjoyed this first part of the course. It slowly walks you through with lots of hands-on coding practice opportunities - just what I wanted. Also the Slack channel helps tremendously. Mentors or fellow students, they are willing to reply to your questions. I'm so happy to finish course and receive the certificate. Moving to the second part now! :D

Excellent Course

I really appreciated that it was built as a sort of continuation of the Excellent Deep Learning Specialization from Deeplearning.ai.

In particular, I mean that the important intuitions are well explained.

I also liked that the final assignments for each week provided a kind of base material for more our personal projects.

Thanks a lot.

The programming assignments are really good for a beginner (very easy for an experienced person) and help reinforce the theory part really well, because we are made to code all the algorithms from scratch. On a whole the course structure is nice, although in some places the concepts lacked depth. Looking forward to the next course in specialization

Wonder and deeply informative course. Does not brush over details and gives you mathematical insights without being too overbearing. This course treats you as an educated person with sufficient and concise explanation to allow you to not just apply python functions without any knowledge. I am truly satisfied by the way this course is handled

This is the best course for NLP beginner. Most of lectures deal with pytorch or tensorflow directly, but I think that kind of approach might hurt fundamental thinking which is really important when starting. In this course, you should search for usage of numpy and linear algebra to understand NLP. I truly recommend this course!

I really liked the course as an opportunity to glance at NLP. I entered the course as a linguist and discovered in the middle of it that I should seek much more training in mathematics, but even so I believe it explains some key concepts that will allow me to discover more about NLP. It was definetly encouraging!!!

Excellent course to understand the fundamentals of NLP. Assignments for every week also involved writing algorithms instead of using some standard library such as SK Learn. This type of teaching style is very useful to impart a better understanding of algorithms. Overall, I am glad that I took this course.

The exposure to NLP technology has been immensely valuable, offering me a wealth of knowledge and skills that I anticipate will remain beneficial in the long term. Undoubtedly, this experience has opened doors to numerous opportunities, and I extend my heartfelt gratitude to all those involved.

absolutely amazing. week ago I wanted to implement France-Paris+Rome=Italy. Now I've implemented it. Bit easy course, yet had some background from university, like kNN or PCA etc. On another hand representation of linguistic with vector is absolutely <3 and new passion. Thx for great course!

This course was great for drilling down on the concepts without letting the amount the students have to code become a distraction. There were Python techniques that I had not seen and took note of, but the focus was on the underlying concepts and I appreciated that greatly.

The instructors are clear and the pace is perfect. The content is sized well. The lessons are in a great structure and I feel that I learned mini concepts in a couple of weeks. Plus, the community on slack is just as supportive as one wish! Thanks to all the staff!

I like the fact that this lesson shows me how math works in the background. In the real world, we only need to call a method from a library to do KNN or Logistic regression, but I appreciate the experience of coding from scratch! Please keep this teaching style :)