I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
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.
It was really nice. Maybe some more hints could be given. I missed my own programming ;-)
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
By Shuo W•
Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
By Ridvan S•
"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
By riad s•
I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K•
Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G•
Interesting course, but all this could have been summarised in the first course itself!
By Hao W•
This course is not so well organized as the previous two. Everything else is very good!
By donato t•
Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L•
It would be even better if there are more quiz and assignments made in ipython notebook
By Takshshila R•
This gives subtle but important knowledge
about training with different distributions.
By Rohit G•
The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S•
Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A•
Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F•
Very useful, but some questions were misleading or were not discussed until next week.
The material is good, but too short. It could have been compressed in another course.