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.
2026 - 2050 of 5,731 Reviews for Structuring Machine Learning Projects
By Sayali S
•Apr 10, 2020
Really helpful when starting with a new ML project and moving forward when stuck.
By Bảo L H
•Apr 1, 2020
Thank you so much for all the useful information,
Mr. Andrew Ng and co-workers!
By Jordi A C
•Feb 25, 2020
It helped me to get new tools and guidance to find the path to build best models.
By 储黄瑞
•Feb 21, 2020
i am so glad that i am a DKU student so that i can listen to such a great course!
By Victor M
•Nov 9, 2019
Really liked this course. I learn tips and tricks to get a successful ML project.
By Emory F
•Oct 22, 2019
Amazing to see how complex the decision to create the model in real cases can ben
By Daniel B
•Oct 14, 2019
Great example driven course with many interesting examples and external lectures!
By Christos-Angelos V
•Jul 16, 2019
Another great course by Coursera. Thank you very much for sharing this knowledge.
By Juilee D
•Feb 2, 2019
completely theoretical , but very very important course from the specialization !
By Ravi M
•Dec 28, 2018
This Course give real view , what and how to choose training and testing dataset.
By Shantanu B
•Dec 18, 2018
Great course as an adjunct to the main deep-learning course. Loved completing it.
By Bhanuj B
•Sep 8, 2018
Nicely explained the design decisions and how to approach the real life problems.
By Martin D
•May 25, 2018
Excellent concise transfer of valuable guidelines and real world lessons learned!
By aditya r
•Apr 13, 2018
Give better intution of how to structure your ML projects using various technique
By WAI F C
•Dec 27, 2017
I learned the best real world developement strategy on machine learning projects.
By wday
•Nov 23, 2017
professor Ng gives very useful instructions to structure Machine learning project
By Yaw O
•Nov 19, 2017
Great course. Very thoughtful thought-provoking exercises. Thanks Andrew and team
By Kanchana R
•Nov 11, 2017
Really great insight to real-world application and building a nnet for a project.
By Kristjan R
•Sep 21, 2017
I got a good intuition for solving problems when building practical applications.
By Runhao W
•Aug 26, 2017
Very helpful for gaining some idea about what would be faced with in a DL project
By abdalrhman i
•Dec 28, 2023
very good and make u thinking in a better way which is the best in programming
By Abhijeet M
•Oct 13, 2021
Great learning. Learning from experts always makes learning interesting and fun.
By Hendri A
•Jul 19, 2021
This course is really great for understanding conceptual about Machine Learning
By Charles X
•May 25, 2021
Very good course by Andrew NG, with practical experiences which is very helpful.
By Nicholas Y K X
•May 1, 2021
Clear and concise information being conveyed. A worthwhile lecture to listen to.