Laboratórios muito básicos

Could cover more concepts

Not enough practice quiz

average course

quite good

Excellent

ok ok ok

too fast

decent

good

s

Great course if you know how to program, but you really need a python background to appreciate it.

quite too basics...too few practical exercise, just scratching the surface of ML

Impossible to do the exercises if you don't pay. The course is interesting.

Very nice and helpful for my next career steps.

too theoretical, not much hands on learning

Fix your week 2 lab exercise the last one

i want to see my name on this certeficate

no math exercises to practice

Oversimplified

not good

I encountered persistent errors in Week 2 (2nd course), specifically in the exercise where I was expected to build a neural network using Keras. Despite following the instructions and trying different solutions, the autograder continued to return errors about incorrect activations and model configurations, even when the code appeared to match the expected solution. This issue blocked my progress, and I was unable to complete the assignment successfully.

Me paso lo mismo con el curso anterior y es que si no realizas los laboratorios aunque hayas aprobado todo y a pesar de que los test te dan como aprobados dicen que no apruebas y que quedas en 0%, es algo como reiterativo con coursera asi que me rindo, no continuo intentando sacarme certificados por acá

Awful course. Labs aren't explained clearly at all. You pay £37 per month and you end up with a few slides a few hours of explanation and unclear labs. The final graded assignment was a joke as well, the very first exercise was the hardest of them while the rest was trivial.

Mostly I was inundated with Nagware after ever short video segment, only to discover that Machine Learning learning was not even introduced. Wasted much time on trivialities like linear regression. I never learned anything about Machine Learning, per se.