Nov 23, 2017
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.
Mar 08, 2018
Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!
교육 기관: Bradly M•
Apr 03, 2019
This course was relatively short, and the quality of the materials (lecture videos, quiz text) was somewhat poorer than in the previous courses.
교육 기관: Eric S•
Aug 30, 2017
Good practical advice. I would have added something about agile development and possibly practical advice on NN architectures (depth and size).
교육 기관: Sujay K•
Mar 25, 2018
The course would have been more interesting if we had some programming assignments. Hands on experience into some of these cases really help.
교육 기관: Daniel M•
Jan 14, 2018
Unique course in the sense that teaches important topics that are rarely seen in the literature and are fundamental in designing AI projects.
교육 기관: Hagay G•
Apr 09, 2019
Had some pretty great info for junior Project Managers, for some reason, it's also hiding some extremely important info about end-to-end DL.
교육 기관: Mohamed M H M A•
Apr 22, 2018
Some of the videos weren't of good quality. Also, I was expecting doing a real project not to make decisions based on different scenarios.
교육 기관: Nikolai K•
Oct 03, 2017
Good course overall, would have liked to have the in-depth programming assignments though, those really made the other courses stand out.
교육 기관: Shashank S S•
Jul 08, 2019
Learned various ways to structure ML projects in industry.
It would have been great to have few programming assignments included as well.
교육 기관: Leonid M•
Oct 05, 2017
Some tips are very useful for practitioners but the same information is repeated over and over again that makes the course quite boring.
교육 기관: 김진수•
Feb 26, 2019
I think this lecture is very useful when we make our own ML system.
Also, it has many examples about errors we can usually meet in real.
교육 기관: Tim S•
Feb 26, 2018
Useful, practical material. I probably underappreciate the importance of someone (especially of Dr. Ng's stature) covering this for us.
교육 기관: Bill T•
Feb 25, 2018
Very practical lessons in this module that should make you and your team more efficient in implementing deep learning on real problems.
교육 기관: Edward M•
Dec 24, 2019
another great Andrew Ng course. This one gives practical insights in how to go about making your deep neural networks perform better.
교육 기관: Mohammad H•
Dec 17, 2019
I really found the pilot training quizzes are great and very helpful, but some questions one can debate if has the right answer or not
교육 기관: Riley•
Apr 08, 2019
Quizzes could be refined since some of the questions are really confusing & need weird pre-requisite knowledge about human physiology.
교육 기관: Kalfas I•
Aug 14, 2018
It was an interesting course for sure, but it was a bit stretched and the notions explained could be compressed in a much shorter one.
교육 기관: John E M•
Apr 01, 2018
I appreciate the review and hints on structuring ML projects. Just seemed a little lacking on the meat and potatoes of real practice.
교육 기관: Alhasan A•
Jun 01, 2019
It would be more useful to give explanation why an answer is correct and others are wrong, such details enhance our learning so much.
교육 기관: Aditya A G•
Feb 21, 2018
Machine Learning Simulator & course contents well prepares you to how a machine learning project should be structured and approached
교육 기관: Huang C H•
Nov 24, 2017
Probably the least exciting of the five. This is a short course on how to approach machine learning projects, as the title suggests.
교육 기관: Priyanka T•
Oct 22, 2017
I thought this course was great content wise, but needs to improve on the errata in the content (repeated video sections), and quiz.
교육 기관: Bingnan L•
Feb 01, 2018
I think it should be useful but since I haven't got many practical experience, the course seems a little bit hard to catch up with.
교육 기관: Zheng Z•
Apr 25, 2019
I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.
교육 기관: Giovanni C•
Feb 13, 2019
It's a good course to gain an initial understanding on the role that different real-world considerations play in Deep Learning NN.
교육 기관: Daniel C K•
Sep 08, 2017
Good course, covering interesting topics. Seemed too easy without enough content to make you feel like you mastered the subjects.