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
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.
ED
Aug 23, 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.
2001 - 2025 of 5,732 Reviews for Structuring Machine Learning Projects
By Lien T T
•Jul 31, 2020
Very helpful on how to start my ML project and improve its performance efficiently
By Ashwini S
•Jul 5, 2020
Excellent Course, Thank you so much. Learning from experience teacher is blessing.
By Abhishek R
•Apr 30, 2020
An amazing way of delivering the subject. I whole-heartedly thank the entire team.
By Zoran M
•May 25, 2019
Great course, practical knowledge from experience which is hard to find elsewhere!
By Arjun r
•Jan 20, 2019
Definitely the most practical and useful course in the specialisation. Great work!
By David K
•Jan 19, 2018
Great insights for dealing with real DL Projects. I enjoyed this course very much.
By Taehee J
•Dec 5, 2017
Thanks for explaining for Error analysis and how to split train/dev/test data set.
By Rishabh A
•Nov 30, 2017
The course is nice, provides insights of practicality of machine learning projects
By Jorge P
•Nov 29, 2017
Excelent ! A treasure trove of technical info, tips, gut feeling and data science.
By Christophe K
•Nov 22, 2017
Nice presentation on how to start and drive your deep neural network construction.
By Wessam A
•Oct 26, 2017
excellent hands-on tips and tricks to how to go about different ML and DL problems
By Huaishan Z
•Oct 4, 2017
It's really useful experience for the AI engineers, especially for the fresh ones.
By Alaa A
•Sep 28, 2017
Great course for learning practical decision making for machine learning projects.
By Murali K
•Sep 21, 2017
Great course...must for data scientists and/or machine learning practitioners...!!
By Sun J
•Aug 25, 2017
I learned some good of machine learning strategies where the textbook cannot tell.
By Douglas M
•Mar 29, 2024
Lots of good background information and how things are done in the real ML world.
By CVA V T T N
•Jan 30, 2023
Unique homeworks, unique knowledge. So valuable. Easy to learn but hard to master
By Eyal M
•Jan 22, 2022
Good and relitevily easy course compared to the other ones on the specialization.
By Rahul K
•Mar 7, 2021
Really liked the content. This type of content I didn't find in any other course.
By xie
•Jan 7, 2021
I am really excited to learn a lot of about machine learning project strategies.
By Peter M
•Dec 30, 2020
I love the case study because it lets me reflect on the decisions I have to make.
By Gunjan M
•Nov 16, 2020
I enjoyed it. These things aren't explicitly taught, so had fun doing this course
By Chad I
•Sep 22, 2020
I enjoyed this short course. These concepts and ideas cannot be reinforced enough
By Abdelrahman D
•Aug 7, 2020
Great course, learned a lot about the Software Engineering aspects of ML from it.
By Seyed M A T G
•Apr 27, 2020
Awesome and realistic case studies in Machine learning and Deep Learning projects