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.
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!).
By chao L•
Distills the key and practical aspects of machine learning projects
By Chuyi H•
the knowledge is very relevant and the quiz is fun and challenging
By Tomas O H•
Very useful intuitions, needs a little more of coding if possible.
By Aniceto P M•
This course is a bit short but there i a lot of experience bottled
By Javier P•
Programming assignments for transfer learning would have been nice
By Manish C•
Nice to learn skills about project handling in machine learning.
By Luis E G•
A little bit boring and repeated info., but still valuable stuff.
By Lili W•
Tooo much time to repeat boring things...but still a good lesson!
By Nicholas K•
Worthwhile: good info and the practical aspects of tuning models.
By Alexander B•
Good for understand how to spend your time on DL projects I guess
By Kunkyu L•
It's difficult for me, so I have to retake 3 course, when I need.
By harm l•
Theoretical insights in strategic development of your ML project.
By Ziyi H•
The answer of Questions from quiz 2 seems to be not so confident
By Mohit K•
Superbly discussed practical problems in the field of ML and DL.
By Ch N•
A programming assignment could be included to learn more better.
By Raimondo M•
I would have liked some Python assignments on Transfer Learning
By Hamzah A•
It would be better to have some hands on assignment or quizzes.
By Mehmet N•
Some questions/answers of the quizzes were not accurate enough.
By Erik B•
Provides a more scientific approach into hyperparameter tuning.
By Qihang S•
I hope that in Course 3 there are some programming assignments.
By Ashwani K•
Nicely explained the concepts and importance of error analysis
By Su L•
Volumns of different vedios are different. Some are too small.
By Yue Z•
complementary material for the book "machine learning yarning"
By PANKAJ R•
Lot of theory was their. Good but felt asleep after some time.
By Wenhai Z•
I would wish there were more programming practice assignments.