It's a very high level overview, I was expecting a bit more detail. The programming exercises are very basic, it felt like there could have been less but more advanced challenges to solve.

Interesting, but surprisingly many quality issues. Some topics, such as naive Bayes classification, need a better motivation (explain intuition and connection with Bayes theorem first).

The topics were interesting overall and the lectures even though rather short were still rather informative. Too much focus on specificities of libraries and frameworks in the exams.

While this was a great introductory course to some of the basic tenets in NLP, various ancedotal examples were too convoluted to be useful in gaining an intuitive understanding

This course provides you with a good but basic start to the world of NLP. Week 4 LSH and Hashing should be explained more clearly. Assignments are not challenging.

Basically lecturers' delivery is not so good that you could get distracted easily.

Often, a video contents and a jupyter notebook don't match to each other.

Seemed easy to me. Rest all is good, the explanation and assignments.

I am reducing star by one rating because of the interface for assignment is poor.

Good coding part. For my background the lecture material was a bit too easy. However, if your intention was to keep it easy, then good job!

The course misses depth and needs to focus on applications of these algorithms rather than introducing more and more algorithms so fast.

The videos were too short to properly explain things and the notes sections after each were basically just screenshots of the video.

It is rather annoying that the videos are short and even shorter because half of the time is spend on an intro and outro

The course has been beneficial, but it could greatly benefit from more thorough explanations of mathematical concepts.

Liked the in-depth linear algebra and gradient descent, but missed some extras like lemmatization and HMMs in NLP...

Compared to other deeplearning.ai courses (esp. Adrew Ngs) very low in-depth explanations and challenge level.

Although the course presents an overview of the topic, I was expecting a more advanced and deeper approach.

Didn't Feel Like I am learning some concept very basic concepts nothing related to real life and NLP

The videos are not very detailed, and the pronunciation of lecturer is something hard to recognise.

In general, good. Misspellings in assignments is not very professional, should be revised.

Would be good if there are more checkpoints to see if the codes are correct or not.

There should have been a little more elaboration in week 4 final content

Some example is hard to understand, and few of the diagram is ambiguous.

Especially later excercises contain code/instructions that are unclear

I would like to have more content and explanation about the math

I don't feel the assignments help understand the material.

The videos are too short. Discussions are oversimplified.