Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
MG
Mar 31, 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 19, 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.
5001 - 5025 of 5,727 Reviews for Structuring Machine Learning Projects
By h_st
•Aug 1, 2021
It was really nice. Maybe some more hints could be given. I missed my own programming ;-)
By Rohini H
•Jun 10, 2020
still with some more example & more simplest way to solve them .with simple basic examples
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 8, 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 17, 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 17, 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 27, 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.