I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
por 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.
por Ramachandran C•
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.
por Arthur J•
It would be great to have some materials to be able to go back to once done with the course.
por Kyle S•
This is a great course. It will be an invaluable reference when tackling real-world problem.
por Yang Z•
Some videos don't end properly and instead give you a black screen to stare at for a minute.
por Akhtar H•
This is little bit tricky course. But main understanding comes when you solve case studies.
por Neel K•
It was better to include some more case studies. This was a better real-time understanding.
por Michael L•
Sometimes, the explanations/advices given were too lengthly and contained some repetitions.
por Amielle D•
There were some typos throughout the course, but the core topics were still discussed well.
por Tariq A•
A good quality course, would have loved to have some programming exercises to go with this.
por Ankur K•
It would have been a little better if some assignments were also provided with this course.
It was really nice. Maybe some more hints could be given. I missed my own programming ;-)
por Rohini H•
still with some more example & more simplest way to solve them .with simple basic examples
por Martin B•
Again, excellent, but proof reading of the test and proof-viewing of the videos is needed.
por Sudeep K•
It could be more detailed. More Code intense! However, the course was really informative.
por Abhishek P•
Initially a bit hard to understand but repeating the session helped to grasp the concepts
por Pedro L A V•
Good course, but there are too many small topics in each week and no hands-on assignment.
por Blake C•
Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.
por Bharat M•
A good theoretical course to help remember the nuances of how to structure a ML project.
por Vikas C•
It was a nice course, it can better if some demo codes are used as an example separately
por Shuo W•
Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
por Ridvan S•
"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
por riad s•
I wish there was some practice assignments related to the concepts learnt in this course
por Vinay K•
Info about the approach in applying DL/ML concepts to various scenarios were explained.