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.
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!).
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.
By Tariq A•
A good quality course, would have loved to have some programming exercises to go with this.
By Ankur K•
It would have been a little better if some assignments were also provided with this course.
By Rohini H•
still with some more example & more simplest way to solve them .with simple basic examples
By Martin B•
Again, excellent, but proof reading of the test and proof-viewing of the videos is needed.
By Sudeep K•
It could be more detailed. More Code intense! However, the course was really informative.
By Abhishek P•
Initially a bit hard to understand but repeating the session helped to grasp the concepts
By Pedro L A V•
Good course, but there are too many small topics in each week and no hands-on assignment.
By Blake C•
Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.
By Bharat M•
A good theoretical course to help remember the nuances of how to structure a ML project.
By Vikas C•
It was a nice course, it can better if some demo codes are used as an example separately