Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
TG
Dec 1, 2020
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.
ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
5001 - 5025 of 5,724 Reviews for Structuring Machine Learning Projects
By Martin B
•Mar 17, 2018
Again, excellent, but proof reading of the test and proof-viewing of the videos is needed.
By Sudeep K
•Apr 7, 2020
It could be more detailed. More Code intense! However, the course was really informative.
By Abhishek P
•Sep 24, 2019
Initially a bit hard to understand but repeating the session helped to grasp the concepts
By Pedro L A V
•Feb 26, 2018
Good course, but there are too many small topics in each week and no hands-on assignment.
By Blake C
•Sep 20, 2017
Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.
By Bharat M
•Jul 24, 2020
A good theoretical course to help remember the nuances of how to structure a ML project.
By Vikas C
•Jun 20, 2019
It was a nice course, it can better if some demo codes are used as an example separately
By Shuo W
•Jan 3, 2018
Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
By Ridvan S
•Oct 15, 2017
"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
By riad s
•Sep 21, 2017
I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K
•Feb 5, 2020
Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G
•Dec 19, 2019
Interesting course, but all this could have been summarised in the first course itself!
By Hao W
•Jun 16, 2019
This course is not so well organized as the previous two. Everything else is very good!
By donato t
•Jun 15, 2019
Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L
•Sep 16, 2017
It would be even better if there are more quiz and assignments made in ipython notebook
By Eugene K
•Jul 16, 2023
Not a necessary course in my opinion. His other courses in this series is much better.
By Ілля С
•Jun 8, 2023
The theory from videos is awesome but the tests have less specific problem description
By Takshshila R
•Jul 1, 2020
This gives subtle but important knowledge
about training with different distributions.
By Rohit G
•Mar 26, 2020
The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S
•Feb 29, 2020
Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A
•Nov 16, 2019
Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F
•Jul 25, 2019
Very useful, but some questions were misleading or were not discussed until next week.
By Cristian D T
•Oct 30, 2017
The material is good, but too short. It could have been compressed in another course.
By manpreet s
•Oct 8, 2018
Good module to learn about how to structure the ML project and getting insights of it
By Jean L
•Aug 20, 2018
I thought there would be more about project management specifics of machine learning.