Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
4651 - 4675 of 5,407 Reviews for Structuring Machine Learning Projects
By Dmitry B
•I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
By RAHUL B
•Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
By Shane M
•Some mistakes in the audio. Test questions from week 1, seemed like some of them came from the material in week 2?
By Delowar S
•this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.
By Andrei S
•First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
By Hamza M K
•There is no coding involved in this course but rather gives us insight into the decision making of deep learning
By Trong-Tin D
•Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
By Madhav B K
•More of the theory concept compared to practicals. But the course has many insights how to perform several task
By Aditya B
•Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
By Agostino P
•Course providing a different and complementary perspective with respect to other similar training.
Well done !
By Giuseppe R
•Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
By Daniel H
•I wish this week's quiz will also include a programming section that'd show the actual performance difference.
By Mohamed A B
•perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
By Jason D
•5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
By Renato R S
•Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
By Swann C
•Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
By Ahmed D
•I liked this course less than the others since I found very theoretical and that made me get bored sometimes
By S K R
•The over all course is good. But you should add some more challenges. Maybe another case study in each week
By Hernan g
•i would like to have a little more programming assignaments, but the course is so good and really helpfull.
By Lior R
•very helpfull for projects building and the simple explanations helped me undersatnd the material very well
By yang
•Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
By vishwanathan r
•There are some errors in some of the videos, either in terms of repeating content or not being able to play
By Sudikshan R
•It was super interseting and it was fascinating to see how companies approarch error reduction management!
By Hasti K
•It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
By clayton m
•Great course to help a practitioner start to develop a core framework for leading a deep learning project.
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