Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
MG
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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.
NI
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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.
4976 - 5000 of 5,708 Reviews for Structuring Machine Learning Projects
By elias m
•Apr 16, 2020
I wish I had this course when I started working in data science
Thanks
Elias Mokbel, CFA, M.Sc.
By Jochen I
•Mar 1, 2018
Still fun but much less practice (no programming assignments) makes it a little less thorough.
By Nick R
•Jan 7, 2018
Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.
By Bobby
•Oct 24, 2017
Lecture was good but no programming assignment for this course. I took out one star for this.
By Ramachandran C
•Oct 12, 2019
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.
By Arthur J
•Jul 20, 2019
It would be great to have some materials to be able to go back to once done with the course.
By Kyle S
•Oct 23, 2017
This is a great course. It will be an invaluable reference when tackling real-world problem.
By Yang Z
•Oct 20, 2017
Some videos don't end properly and instead give you a black screen to stare at for a minute.
By Akhtar H
•Feb 9, 2021
This is little bit tricky course. But main understanding comes when you solve case studies.
By Neel K
•Oct 19, 2020
It was better to include some more case studies. This was a better real-time understanding.
By Michael L
•Jun 10, 2020
Sometimes, the explanations/advices given were too lengthly and contained some repetitions.
By Amielle D
•Jul 24, 2019
There were some typos throughout the course, but the core topics were still discussed well.
By Tariq A
•Jan 12, 2019
A good quality course, would have loved to have some programming exercises to go with this.
By Ankur K
•Nov 13, 2017
It would have been a little better if some assignments were also provided with this course.
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 9, 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 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