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 analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
By S V R•
The session were simple, could be more complex
By Caique D S C•
very good course, could be less massive though
By Виницкий И В•
I want a program exercise like in 1-2 courses
By Dionysios S•
I would like to see more practice assessments
By Luis E R•
Very useful concepts that few people address
By Jun P•
Kind of boring than the cnn and rnn class ..
By John H•
Useful content, could be much more succinct.
This course is awesome and good knowledge .
By Alfredo M•
There were no practical coding homeworks :(
By Igor C C•
A little less dense than the other courses.
By Rajesh M•
Can reduce some of the repetitive material
By JEROME D•
Maybe add 1 question at the end of videos
By Mr. S A•
a bit slow and no programming assignments
By Shriniwas S U•
Satisfied with course. Thank u Instructor
By Hamidreza C•
Good course, nice case studies, liked it.
By Gaurav A•
Great course, good structure, nice theory
By Akansha B•
Was good as an intro could be hands on..