Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize
strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing
human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for
learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping m...
Top reviews
MG
Mar 30, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
WG
Mar 18, 2019
Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.
5176 - 5200 of 5,730 Reviews for Structuring Machine Learning Projects
By Gundreddy L M
•Sep 11, 2018
excerice should be given for this one proper user case
By Alexey S
•Oct 22, 2017
Good class, but 2 previous are much better and useful.
By Lei C
•Sep 25, 2017
the answer of the assignment is a little bit arguable.
By Szymon W
•Oct 3, 2024
It was good, but so far the other 2 were much better.
By SANJAY P
•Oct 6, 2020
Content is good. Presentation could have been better.
By Kumari P
•May 28, 2020
machine learning project are highly iterative as you.
By Diego S
•Feb 18, 2020
I miss notebooks for practice, besides questionnaires
By Xinghua J
•Sep 6, 2019
If there is some coding practice, it would be better
By Pranjal V
•Jul 11, 2020
Very well explained but needs more reading material.
By Hee s K
•Apr 18, 2018
It is an unique lecture providing empirical advises.
By Pablo L
•Oct 30, 2017
Great set of guidelines. Mostly theoretical, though.
By C. G F
•Oct 22, 2017
Concrete reminders of important and practical points
By Ktawut T
•Oct 10, 2017
Very useful materials for leading a ML research team
By Awalin S
•Sep 29, 2017
interesting insights about real world implementation
By Yu L
•Apr 3, 2020
would like to have more excercise related to coding
By Mage K
•Mar 7, 2018
Would've liked to have some programming assignments
By Carlisle
•Aug 20, 2017
Introduced a lot on engineering project experiences
By Marcelo A H
•May 29, 2020
Very interesting topics were shown in this course.
By William L
•Apr 17, 2020
Very useful knowledge that is not commonly taught.
By Alvaro G d P
•Nov 27, 2017
Interesting but perhaps we could have gone deeper.
By John H
•Aug 26, 2017
Is the flight simulator hw going to be added soon?
By Pat B
•Dec 8, 2019
Great course. I liked the compact, 2-week format.
By liu c
•Mar 17, 2018
A little bit abstract. But still very inspiring!
By Florian M
•Aug 24, 2017
Very interesting tools and ideas for applied ML.
By Nicholas N S
•Apr 28, 2021
There is so much noise in the explanation voice