While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
This course compare to other was a bit boring to my opinion. But the whole specialization is great
By Mohamed B•
Gets repetitive at some parts, but otherwise very useful insights into best practices in the field
By Eric L•
Very nice course but a bit more subjective than the 2 previous especially about human performance
By Priyansh J•
Great teacher and great content. thought content could have been more! but overaal it was great.
By Stefan L•
It's nice to get some insight into projects. It would be great to have even bigger case studies.
By Vaibhav J•
It would be a better course if you give more problem assignments. Rest everything was very good.
By yassine a•
The videos are so long, there is a lot of repetition. it would be better to do it in three weeks
By Mahesh S P•
Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing
By Anna M•
A lot of useful information, but perhaps some areas should have been explored in greater depth.
By Timothy D•
This course was a lot more interesting then I thought it would be. Very useful knowledge here.
By Gopal S P•
Too many dimensions to think about which is good and exhaustive at the same time
By Aby P•
learned real life implementation and how things working on industries, but content was so slow
By elias m•
I wish I had this course when I started working in data science
Elias Mokbel, CFA, M.Sc.
By Jochen I•
Still fun but much less practice (no programming assignments) makes it a little less thorough.
By Nick R•
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.
By Ramachandran C•
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.
By Arthur J•
It would be great to have some materials to be able to go back to once done with the course.
By Kyle S•
This is a great course. It will be an invaluable reference when tackling real-world problem.
By Yang Z•
Some videos don't end properly and instead give you a black screen to stare at for a minute.
By Akhtar H•
This is little bit tricky course. But main understanding comes when you solve case studies.
By Neel K•
It was better to include some more case studies. This was a better real-time understanding.
By Michael L•
Sometimes, the explanations/advices given were too lengthly and contained some repetitions.
By Amielle D•
There were some typos throughout the course, but the core topics were still discussed well.