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.
5151 - 5175 of 5,730 Reviews for Structuring Machine Learning Projects
By Gil E B
•Jul 29, 2019
Good Course to learn production pipelines for practical use
By Fereydoon V
•Feb 2, 2018
Hope we had programming assignment for this course as well!
By Nandigama V
•Jan 3, 2018
Very good course, It should be last course in specilization
By Richard M
•Oct 14, 2020
Interesting ideas, but not as good structured as course 1.
By Pakin P
•Nov 28, 2019
Thanks I learn a lot of real world application and problem
By Peter K
•Mar 23, 2019
강의 후반부 (2주차) 에 강의 속도가 인위적으로 조정된거 같습니다. 속도가 빨라 이질감이 느껴졌습니다.
By Akshat A
•Feb 23, 2019
Curated content, quite exclusive indeed. Respect to Dr. Ng
By Joseph C
•Apr 9, 2018
Needs programming exercises to help firm up the new ideas.
By QUINTANA-AMATE, S
•Mar 20, 2018
Completely new of what it is out there. Well done Andrew!!
By Alejandro R V
•Jan 8, 2018
Not as interesting as the others, I personally prefer math
By Gopala V
•Oct 24, 2017
Gave some ideas on mismatched data and how to address them
By Akshita J
•Apr 23, 2020
An assignment could have been included to let practically
By Roberto J
•Oct 19, 2017
A bit dry, would love to see some more concrete examples.
By Vinicius B F
•Oct 22, 2017
Content was fantastic, but the videos were badly edited.
By Suresh P I
•Sep 10, 2017
Can be potentially folded into other courses if possible
By Mike L
•Aug 9, 2024
Great info but the quiz questions are a bit unclear IMO
By Ann D
•Sep 10, 2023
nice short course. Quizzes were more difficult, though
By Hanqiu D
•Jan 9, 2021
It's too easy and cannot be a reasonable single course.
By heykel
•Jan 27, 2020
very helpful to build an intuition for DL strategies...
By Rafael G M
•Dec 7, 2019
Providing further references would benefit this section
By WEIJIAN K
•Nov 15, 2017
You can know well a lot of strategy in machine learning
By Tanya S
•Dec 17, 2024
Things we never think about are taught here, valuable.
By Sreenivas K
•Jul 14, 2020
Good teaching of practical approaches and nice quizzes
By 王毅
•Dec 24, 2019
the content is good, but the videos are not well made.
By Shuochen Z
•Feb 17, 2019
内容架构很好，讲得也很实用，但觉得课时有些短，许多重要且有趣的问题都未能得到展开详述。期待后续的扩充课程~~