Good course!

Great course

Nice Course

Thank you!

Thank you!

Thank you!

I loved it

Good One

amazing

awesome

great！

keeeka

Great!

Thanks

Thanks

Nice!

Best.

great

good

đỉnh

good

I'm a master/graduate student who took an NLP course in Uni.

I think that overall this is a very a good introduction to the topic. Some concepts are really well explained - in a simple manner and with a lot of jupyter-lab code to experiment with.

In general in this specialization - the first 3 courses are good. There are some quirks (e.g. why Lukas is needed at all? He doesn't really teaches, just passes it on to Younes) but nevertheless I learned from it. And I think they have good value in them.

The 4th one, however, is completely disappointing. First 2 "weeks" are confusing, not really well explained, but somewhat "bearable". The last 2 weeks are complete sham. They claim to teach "BERT" and "T5" but don't really give any value. You're better off going elsewhere to learn these concepts.

If it wasn't for this, I would give the overall experience a 5 stars, but because of this, I think the overall is more like 3 or 4.

Es bastante completo, y en general, claro; salvo un detalle: explica demasiado superficialmente PCA, pero luego para la tarea hay que implementarlo manualmente. También tiene algunos bugs desde hace meses a pesar de haber sido reportados con solución. Además, las lecturas posteriores a los videos a veces son escuetas y le hacen falta algunos diagramas que se ven en el video (conviene sacar capturas de los videos para tomar nota).

It is quite complete, and generally speaking very clear, except PCA: it's covered only superficially but it is required to implement by hand on the assignment. Also it has some unsolved bugs since several months ago, despite they were reported with solutions. Also, the readings after the videos are sometimes narrow and lack of some diagrams shown on the videos (it is useful to take screenshots to take notes).

The content of the course was really interesting an engaging. But the assignments mostly only helped in understanding the details of the algorithms and processes. It would have been nice to get to learn how to use state of the art libraries, which would've been more practical. Although, in fairness, anybody who completes this course should be able to make use of off-the-shelf libraries. Another point was that when the instructor was narrating the slides, his intonation was occasionally a bit off, making me lose track of the subject and having to re-listen few times.

Personally speaking, this course is great. I have a background in Math so it would be very easy for me to infer all the mathematical details from a general thought or frame of the method, but I can imagine that people with other backgrounds may suffer from a lack in rigorous proofs in this course. Nevertheless, the course does provide new thoughts for me and make me familiar with some practically useful tricks in NLP. I would recommend this course if you are working in a field other than NLP and want to learn something about it or if you are a beginner to NLP.