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