Don't get me wrong: this course is full of insights, but I think it could use a little more flesh...

Nice work but i think we need more guidelines of how to finish a successful machine learning project

It is a great course but felt like not as interesting as previous 2 courses in this specialization

The case study two - the quiz scoring in my opinion is not setup properly. For example question 13.

Good course. Don't know what, but expected more. Wish that next courses will give that opportunity.

Very short course. Questions were good. Some programming assignments would have helped a lot more.

It is really inspiring topic to understand all the concepts shared was seems to be really helpful.

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.