The quiz for week 1 contains topics from week 4. It has not been changed in 2 weeks that I was on this course. Except for this lacuna everything else was very nice. The course is well structured and the assignments made me to think and revise the course material thoroughly. In a nutshell this was an excellent course.

Thank you for the Lecture. I enjoyed it a lot! One thing I did not like too much was reading aloud and fast complex equations. I got distracted a lot when that happened. Also the Grade of the programming assignment is very slow and some additional verification of the programming task would be helpful.

There is a confusion in week 1 practical quiz. It seems that this task from week 4. There are conusions in contests but in general this is good course, because we come through the program from simple to difficult tasks and make necessary computings and functions from libriaries from scratch.

A good course overall. I wish the assignments were a bit more challenging though. Still, we have covered a lot of ground. And for those who know nothing about the word embeddings, I think this would be a perfect first course to take. So all in all, time well spent.

I found the course really helped to reinforce my understanding about importants concepts like n-grams, HMMs and word embeddings. The labs are pretty well spread out, and by the time you get to the week-ending assignments, you have all the info you need to complete.

It will benefit if we can apply the knowledge at work while learning. Fourmulas in videos, readings and assignments are sometimes different. There is almost no help in community forum if we are stuck with assignmernts. It helps if we get help from TAs.

I love this course, If you follow along with book An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition by Daniel Jurafsky and James H. Martin will help you to understand the core concept and mathematics

The lectures on the Viterbi algorithm were a little wooden and there were no summary text (reading) tasks (as there often is in other deeplearning.ai courses), however this is a worthwile and informative course.

In the first and second week the exercices have some unecessery pranks in the data formatation just to make the exercice harded, but it take out the attention for what matter in the course that is NLP

Very good to see how the "from scratch" concepts are presented; nevertheless, I have the feeling that a very little "real use case" problem has been presented, with tiny sentences being analyzed.

Week 4 Lab Assignment could be made a little bit tougher. The backpropagation derivation of W1, W2, b1 and b2 could have an optional reading for the interested reader. Otherwise, amazing course!

Good course, but the lecture notes in week 2 can be much more improved. Understanding Viterbi algorithm without visuals and animations was very difficult. Apart from that, great course!

The course is exceptional in its own way by bringing people to the understanding of probabilistic models. Crisp & Clear. But one need to explore & practise more to gain expertise.

I liked to learn about Word2vec in the week 4, using Continuous Bags of Words, step by step. It helped me a lot to understand how to transform words in numeric vectors.

The Viterbi algorithm introduction is a bit hard for us to follow. Probably some writings may help guiding through each steps.

Esta especialización junto con la de Deep Learning se complementan y es son más claros los conceptos y prácticas, gracias!

Quite a lot of the coding is done for you, but otherwise a great course to give an overview of NLP with prob. models.

The tutor sometimes pass the slices too swiftly. I hope that he could wait 2-3 seconds after finishing speaking.

Sone Quiz should also be there. Assignments can be solved by python knowledge an following the instruction

Assignments were incorrect.

Lot of content was squeezed in the last week. Even spread would be ideal

I love the way the instructor teach and the course design which is made to be simple but effective

great material and presentation, there are a few typos here and there but not a big deal

I didn't like weeks 1 and 2 too much but I liked week 3 and I really liked week 4.

I liked the lecture, very well prepared. Only the part on metrics was a bit short

This is a good course but I would like to see more emphasis on the mathematics.