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.
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.
por Rashid G•
A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.
por Vik V•
Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.
por Kenzi L•
This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects
por Thomas A•
Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)
por Franz L•
I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.
por Oliverio J S J•
It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.
por Gustavo A V•
The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.
por Archer M•
Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture
por William K•
Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.
por Saurav J•
Excellent course material would have been icing on the top if there were some course exercises like previous two courses.
por Hao W•
I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful
por Nicholas P•
an interesting short course on some of the things to be careful of when carrying out/planning a machine learning project
por James D B•
Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.
por David C•
No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!
por Christos Z•
Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
por Mohammed Y A•
The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
por Tatsapat S•
Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
por Ashwin A R•
It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
por Jose M S L•
A very good course. In my opinion, I would have like to have more practical examples or more tests to prove yourself.
por K K V•
Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
por Karan S•
Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
por Domenico I•
The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
por Muahammad U A•
This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
por Dmitry B•
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing