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