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.
JB
Jul 2, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
1676 - 1700 of 5,736 Reviews for Structuring Machine Learning Projects
By Mischa L
•Feb 10, 2018
Very nice and informative, but, as pointed out but others, w/o homework assignments it is less fun
By Eric D D
•Dec 26, 2017
All the fine tuning details, only experience brings are taught in a very simple and clear manner !
By Ekaterina T
•Nov 9, 2017
A great class. Can be very useful also for managers of ML teams. No programming experience needed.
By Jacob V
•Nov 2, 2017
Yet another great course by Andrew! It would be very helpful for people like me in the industry :)
By Bruno L
•Sep 23, 2017
Really well structured course with very useful insight on how to setup a machine learning project.
By Igor P
•Sep 15, 2017
The "simulator" is a great way to learn and to force you thinking before submitting to the grader.
By Laam P
•Aug 18, 2017
Fantastic course, I love the way Andrew construct the story and context to apply ML in real world.
By Juan E H
•Jul 8, 2024
Excelent Course, in control and leadership ML Projects from a technical perspective of evaluation
By Alon H
•May 11, 2022
I think this is a very important cours with a potential to save a lot of time for AI developres.
By Dương Đ N
•Feb 5, 2021
This is the best course out of five courses since It does not focus on math or formulas in detail
By Georges B
•Aug 30, 2020
Very instructive guidelines for structuring ML projets and Andreew Ng is excellent in teaching it
By Isha S
•Jul 15, 2020
Very different from what is available on the internet and exactly what I was looking for! Cheers!
By CHRISTIAN K
•Jun 16, 2020
Excellent! Very through and detailed course presented in a very a insightful and interesting way.
By Filipe C d L D
•Jun 10, 2020
Excelente curso para você entender como funciona questões práticas dos projetos de Deep Learning.
By Ukachi O
•May 10, 2020
Very informative especially in planning strategies in the development of machine learning models.
By Andrew C
•Jan 30, 2020
There is no project in this course, but I've learned some strategy, which is really helpful, too.
By Sen C
•Dec 24, 2019
This course really is wonderful in the sense that it gives a proper direction to the ML projects.
By Dejan D
•Oct 9, 2019
I really enjoyed this course... I learned how to make strategies while solving real-life problems
By Anuj D
•Jun 19, 2019
Great course that gives practical tips on making AI models. The simulator exercises are nice too!
By Vaibhav K
•May 28, 2019
The course gives a nice overview of the problems one could encounter when working on ML projects.
By Saurabh S
•Apr 8, 2019
Really helpful course. Lots of information on how should you drive your machine learning project.
By Raivis J
•Mar 1, 2019
A guided coding exercise that actualy models the "simulator" scenarios would also be interesting.
By Kirk B
•Jan 17, 2019
Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.
By Yuqing Z
•Jan 8, 2019
Take this course to guide you in the process of tuning parameters and splitting data sets wisely!
By Chenguang L
•Nov 5, 2018
Pretty good overview, some knowledge not only for deep learning but for all algorithm developers.