good:

* some of the content is well-explained

* provides good solid knowledge about the background and implementation of common NLP tasks

less good:

* notebooks (and content generally) are unevenly distributed

* significantly stronger focus on ML, rather than on the NL side (this is consistent throughout the specialization)

* some of the explanations (e.g. in week 2) aren't clear

* specialization could be structured better -- word embeddings are introduced in course 1, but the in-depth discussion is here in week 4; would perhaps have made more sense to have that content build on itself

In this course, you will learn to build an autocorrect model and different methods of building this model. The course felt a bit rushed with a lack of detailed explanation, students who are familiar with the concepts of NLP from before starting this specialization won't face any problem, but students who had just begun learning NLP through this specialization might feel a little difficult.

Too many gaps in the course. Many concepts not covered in the mathematical sense basic Grad. Desc. math would have been helpful. Also if you want to omit it totally you should have atleast one lab on how one would do it in real life using which library? Pytorch? Keras? What? Rest of the course is okay. Younous is great in explanation.

The course material is good and you can learn new things, you can exercise python skills a lot as the assignments are quite long. However, the tutors are not the best in explaining the material as well as the videos are a bit vague. It would have helped if the tutors were a bit more experienced in teaching, but still overall good!

well I did deep learning specialization earlier things are mathematical, but here they don't go much into maths, and please make some concept chart, to link different algorithms.

BIg bug in week4's assignment! I don't know why not fix it. It turns out that I just train a dummy network

The instructors look like reading scripts and indeed a bit awkward.

Topics were not clearly taught by instructure

This was an okay okay course

Doubt support can be better

Not much useful

Generally good content, but there are several issues. The quizzes for each unit do not always reflect the material for the unit; they are obviously from other units within the course. Many of us have pointed this out on the course forums and reported the incorrect content, but it remains. There are also *lots* of typos and incorrect comments/text/captions in the videos. Some of them have pop-ups that point out the incorrect info, but many do not. The notation is inconsistent between slides in the course and differs even more between the slides and the assignments. It feels very sloppy. I have reported several of these, but no action has been taken. The creators seem to have created the course and walked away leaving a ton of errors and inconsistencies. There does not seem to be ongoing support for the course, even when there are clear, egregious errors.

This course is unfortunately a waste of time. The lectures could be compressed into a 60 min video on basics of NLP with probabilistic models and uploaded to YouTube. You will feel initially like you learned a lot of things, yes, but then quickly forget this knowledge as everything is rushed and touched only superficially and you didn't develop solid understanding.

Also, the videos have to be revamped and recorded by someone a bit better in delivering lectures. The lecturer reads a script in a monotone voice and doesn't engage the learner. It feels like sitting through a boring slideshow at work rather than learning SOTA AI stuff from the world's leading tech institution...

This is just my personal opinion, perhaps it will work for you.

Too simple. The practical assignment is more not about learning embeddings, but about running about forward and backward pass on the shallow network.

Do not waste your time, these very basic explanations of concepts barely teach you anything.

Most of the algorithm and logic was implemented beforehand, I did not get to implement much, did not feel good after completing the 2 courses

p​oor theory and the instructutor speaks fast. No lecture from lukaz