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 Xinghua J•
If there is some coding practice, it would be better
By Pranjal V•
Very well explained but needs more reading material.
By Hee s K•
It is an unique lecture providing empirical advises.
By Pablo L•
Great set of guidelines. Mostly theoretical, though.
By Cristina G F•
Concrete reminders of important and practical points
By Ktawut T•
Very useful materials for leading a ML research team
By Awalin S•
interesting insights about real world implementation
By Yu L•
would like to have more excercise related to coding
By Mage K•
Would've liked to have some programming assignments
Introduced a lot on engineering project experiences
By Marcelo A H•
Very interesting topics were shown in this course.
By William L•
Very useful knowledge that is not commonly taught.
By Alvaro G d P•
Interesting but perhaps we could have gone deeper.
By John H•
Is the flight simulator hw going to be added soon?
By Pat B•
Great course. I liked the compact, 2-week format.
By liu c•
A little bit abstract. But still very inspiring!
By Florian M•
Very interesting tools and ideas for applied ML.
By Nicholas N S•
There is so much noise in the explanation voice
By Jason G•
Not as strong as the other 4 of 5 of the series
Great course. Needs deeper practical examples.
By Francis J•
A lot of insights rather than technical details
By Lukáš L•
Coding exercises would be great in this course.
By Mares B•
A little short, maybe more hands on exercises?
By Ed G•
Concise course with some interesting concepts.
By Tulip T•
Quite helpful when you start a new ML project.