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 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.
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.
1951 - 1975 of 5,736 Reviews for Structuring Machine Learning Projects
By Flávio R A
•Sep 8, 2017
Awesome unique material. Tks Andrew Ng and team for sharing such valuable experience!
By Eldar Š
•Aug 18, 2017
Very useful. Using deep learning project flight simulator was interesting experience.
By Shintya R R M
•Apr 22, 2021
This course gives me guidance, tips and tricks to deal with problems in ML projects.
By Jean-Michael B
•Dec 7, 2020
Great to get the theory behind development and building of models and address errors
By Azzeddine R B
•Oct 6, 2020
A real outstanding course. Thank you professor, Coursera and Depp Learning AI teams.
By denglh
•Jul 16, 2020
Nice course. Learned a lot! Thank you for the whole team which provided this course!
By Lavakumar V
•Jul 6, 2020
Thank you so much. It is an excellent topic and very good at making me undestand it.
By Shomnath S
•Jun 5, 2020
These course is awesome. I want more courses on deep learning projects in practical.
By Daniel H
•May 19, 2020
Really impressed with the end of week quizzes. Lectures as clear as usual. Thank you
By Bany I
•Mar 30, 2020
Scenarios really force you to think through the different outcomes of each decision.
By Marshall
•Feb 13, 2020
Very interesting case study-based quizzes that made me think about the new material.
By Shilin G
•Jul 21, 2019
very useful videos and quizzes. just the end2end part is less in-depth than I hoped.
By Charles Z
•Mar 28, 2019
it's more valuable for troubleshooting of underfitting and overfitting in practice
By Jun W
•Nov 6, 2018
Nice overview of things you need to consider before starting and during ML projects.
By Tina
•Jul 19, 2018
the advice of dealing with data distribution and transfer learning are very helpful!
By madhumita.behera@gmail.com
•Apr 16, 2018
this gives more insite to real world dl problems and also how to handle them as well
By Parallel
•Apr 14, 2018
This course gives me many practical advices which help me to build a useful DL model
By shubham a
•Apr 8, 2018
very detailed and practical course on how to start building a deep learning project.
By Qing C
•Apr 2, 2018
More generalized information to address realsitic issues when using machine learning
By Jitender S V
•Jan 6, 2018
Wow, i didn't thought about these problems. Thanks for this course. It helped a lot.
By Galley D
•Dec 2, 2017
Excellent course with very practical tips on project management for Machine Learning
By Deleted A
•Oct 19, 2017
Good course about topics that aren't often covered in other online learning classes.
By VEMULAMANDA S K P V
•Oct 1, 2017
Now i learnt how to structure my data for reaching human level accuracy and above :)
By Muhammad A K
•Aug 31, 2017
Fantastically delivered lectures and learning-full quiz's to give a deep intuition..
By Quan T H
•Aug 31, 2022
A great course helps me to understand how to structuring Machine Learning projects.