Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai
Sobre o curso
Melhores avaliações
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
4901 — 4925 de 5,113 Avaliações para o Structuring Machine Learning Projects
por Raghu t D
•this session was good it would be more better if they provided the code of them..so that we could be abke to learn more from them
por Denys G
•Felt a bit rushed, each video was full of good tips but personally I think each video should have been a jupyternotebook instead.
por Massimo A
•More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
por David P
•Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...
por Oliver O
•Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.
por Shuai W
•The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
por Gary S
•Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
por Pejman M
•Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
por Nithin V
•Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material
por Mustafa H
•This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
por Ahmed A
•course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
por Kevin Q
•lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
por Arghya R
•Could have more case studies and above all. Also programing assignments on self driving car could have been better
por Okhtay A
•A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.
por Masih B
•This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)
por Janet C
•Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
por Aniruddh B
•Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.
por Vitaliy
•To much talk but understandable. Need something like programming examples with different data distributions.
por Rob W
•Seemed to be information that could have been included in another course rather than its own 2 week course.
por Idan P
•Lectures can be summed up by: "use common sense".
Quiz can be summed up by "to pass, use OUR common sense".
por Abd-Elrahman B
•The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
por Rishabh B
•Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
por Barnoviciu E
•Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"
por Tim U
•More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
por Iam P d S
•This course was shorter and didn't have any programming assignments. Could've been part of course 2.
Coursera Footer
