Feels a bit outdated in times of big foundational models, but some concepts still useful to gain fundamental understanding.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

Algebra could be explained more in depth, but all in all, good course

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

excellent Material & teaching

week 2 need bit more help

Good, very good.

great course