Would be happy to see also example and problems connected with numerical output in neural networks

This course compare to other was a bit boring to my opinion. But the whole specialization is great

Gets repetitive at some parts, but otherwise very useful insights into best practices in the field

Very nice course but a bit more subjective than the 2 previous especially about human performance

Great teacher and great content. thought content could have been more! but overaal it was great.

It's nice to get some insight into projects. It would be great to have even bigger case studies.

It would be a better course if you give more problem assignments. Rest everything was very good.

The videos are so long, there is a lot of repetition. it would be better to do it in three weeks

我觉得应加上一些demo使我们更加深刻体会到这些技巧的作用，至少感受一下。此外，强烈建议恢复总结单元，可以不是ppt但至少也要是个文章，总觉得现在的课程有点赶。没很好的方法复习学过的内容！！！

Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing

A lot of useful information, but perhaps some areas should have been explored in greater depth.

This course was a lot more interesting then I thought it would be. Very useful knowledge here.

Great content.

Too many dimensions to think about which is good and exhaustive at the same time

learned real life implementation and how things working on industries, but content was so slow

I wish I had this course when I started working in data science

Thanks

Elias Mokbel, CFA, M.Sc.

Still fun but much less practice (no programming assignments) makes it a little less thorough.

Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.

Lecture was good but no programming assignment for this course. I took out one star for this.

Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.

It would be great to have some materials to be able to go back to once done with the course.

This is a great course. It will be an invaluable reference when tackling real-world problem.

Some videos don't end properly and instead give you a black screen to stare at for a minute.

This is little bit tricky course. But main understanding comes when you solve case studies.

It was better to include some more case studies. This was a better real-time understanding.

Sometimes, the explanations/advices given were too lengthly and contained some repetitions.