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.

It is an interesting course to learn the basics of NLP

good for beginners, but needs more advanced concepts.

The explanations in the videos could be improved.

No longer required. Beyond my present knowledge.

Content is verbose and locks context in places

I believe that explanations where too shallow

very good course, a lot of stat and math

So many small mistakes here and there

Disappointed. need better syllabus

Mentor needed for the assignments!

I didn't quite get the feel of it

Problems in week 3 Assignment