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: SYZ•
Dec 10, 2018
Hope to have coding practices for the second week's materials.
Anyway, the current course is already very helpful. Thanks to Andrew and all staff behind the scene!
교육 기관: Jussi V•
Feb 18, 2018
Content is good, but a bit thin... This course makes sense as part of the deep learning specialisation, even if this is a bit too short to be a course of its own.
교육 기관: Boris D•
Jul 23, 2019
A bit less interesting than the others I think. To me the whole first week was full of obvious stuff. The second week, however, was very interesting and helpful.
교육 기관: Subash P•
Oct 23, 2017
There was lot of theory and probably not one of my strengths. However the content is very useful for bringing some structure to machine learning problem solving.
교육 기관: Jaime R•
Nov 20, 2018
This course could have just been an extra week or two of course 2. It doesn't have the depth of the others, although it is very practical and I like the content
교육 기관: Calvin K•
Mar 04, 2018
Good advice on how to work on a machine learning project from the ground up. Tho most of the material is already covered in Ng's Machine Learning Yearning book.
교육 기관: Deleted A•
Nov 19, 2017
Nice to see a course on machine learning about the 'other stuff' around machine learning. However, links didn't work half the time and it was a bit unpolished.
교육 기관: Klas K•
Oct 13, 2017
Some of the lectures feel quite lengthy and repeat stuff. It seems to be easily possible to condense into one week which could be added to the previous course.
교육 기관: Anahita P•
Jan 19, 2019
a lot of topics are covered in machine learning course, but this has an upgrade to input from previous course due to changes has happened in AI in last years.
교육 기관: David M M•
Nov 17, 2018
Valuable tips to apply in machine learning projects. I'd like to have some programming assignment that gives opportunity to practice some of those techniques.
교육 기관: Luis A H L•
Apr 20, 2018
Es muy bueno el curso lo recomiendo si se desea tener un conocimiento general sobre los aspectos a considerar en las etapas del desarrollo de proyectos de ML.
교육 기관: Giacomo•
Mar 19, 2018
Advanced course, as always well done :D
Anyway, something for me strange is that there are only quitz but not exercices in Python/Tensor Flow... This is a pity
교육 기관: Alejandro Z•
Sep 22, 2017
I loved the lessons, they are very practical. The only thing that I think could be improved are some of the quizz questions are worded in a bit ambiguous way.
교육 기관: Dinh T T•
Feb 07, 2019
It's an useful course to give me how to analyze error and give me some advice how to apply transfer learning and multitask learning. Thank for your course.
교육 기관: Diwakar R•
May 11, 2018
I felt that this course was too slow for my liking. While I agree this helps a lot, But I watched all the videos at 1.25x the speed so that I dont get bored
교육 기관: Gagan G•
May 06, 2019
It doesn't have coding but it teaches thing that will really help in real projects when we will need to decide best approach based on multiple data points.
교육 기관: 钟胜杰•
Nov 19, 2018
The courses of this two weeks make me confused because i have't built a machine learning systems fully by myself yet , so i found those classes boring.0.0
교육 기관: Robert N C•
Aug 02, 2018
Not as helpful or practical as earlier lessons, but nonetheless important high-level advice. Perhaps there was a better way to test knowledge than a quiz?
교육 기관: Simon S•
Oct 23, 2018
Still a great course, but compared to the pervious two, this seems to be a bit less useful and practical and there are a few mistakes with cutting, etc.
교육 기관: BINGNI G•
Sep 12, 2018
It may be useful in the future, but since I don't have any large project experience in the real world, I feel a little boring while taking this course.
교육 기관: Osbert Z•
Feb 16, 2018
Some content was a bit superficial. Many concepts regarding approach to machine learning projects were useful. Found the "flight simulators" were not s
교육 기관: John F•
Jan 28, 2018
Quite a lot useful information for structuring deep learning projects, but also quite some errors in the course contents. Hope them will be fixed soon.
교육 기관: John E•
Oct 04, 2017
Overall a nice approach to understand how to tune the learning algorithms. There are some production/editing issues in the videos that are distracting.
교육 기관: eddy k•
Oct 30, 2017
excellent practical and insightful strategies from years of andrew's experience, i wish there were more hands on labs to practice some of the concepts
교육 기관: Robert P•
Apr 17, 2018
The content is well worth going through. While the "flight simulator" approach was certainly beneficial, I wish there had been programming exercises.