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 felt like I learned some new things from this course. Some of the maths was not as rigorous as it might have been. For example, the proof for Levenstein wasn't complete.

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.

Feels a bit outdated in times of big foundational models, but some concepts still useful to gain fundamental understanding.

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

very well explained, but i think the assignments are too easy, because everything is done. It could be more challenging!

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.

The explanation for back prop and their equations in the assignment were very lack luster and almost misleading

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

In week 4, the formula for the partial derivative of the cost function wrt b2 is not mentioned

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.

Great course, but the last week felt a bit messy with submission evaluation.

Not sure if it is on purpose, but W4 labs have repeating content.

wonderful course, I learned the fundamental of NLP. Many thanks

Good content and presented in an easy-to-learn fashion.

Could be improved with better visualizations.

Too basic and going at too slow a pace