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 31, 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.
创建者 Ivan L•
Jun 25, 2019
Most of the material was quite useful, but some was, perhaps, too obvious. Also, some things were discussed too thoroughly, and, in my opinion, that was a waste of time.
创建者 Aliaksei A•
Sep 14, 2017
Would be great to obtain more concrete information.
For example, instead of "requires much more training data" to obtain "requires ~1'000'000 samples instead of ~100'000"
创建者 Rafal S•
Jul 22, 2019
Excellent content overall. However, reiterates some of the knowledge already presented in the two previous courses of the specialization. Lacks programming assignments.
创建者 Amir R K P•
Dec 07, 2018
I wish there was more examples, visualization and depiction of work with referral to papers or experiment here. or perhaps a bit of project management, data management.
创建者 Pete C•
Jun 24, 2018
Enjoyable, but felt a little less challenging and more hastily assembled. Regardless, the material is valuable and as always, a pleasure to be instructed by Andrew Ng.
创建者 Lars R•
Aug 29, 2017
The course material is relevant and useful, however, I agree with other reviewers that these 2 weeks should rather be a 1-2 weeks addition to one of the other courses.
创建者 Andrew R•
Apr 30, 2018
Quick course. Worth taking because gives some practical guidance on what avenues to pursue when finding a optimal model (which takes into account human time required)
创建者 Poorya F•
Dec 11, 2017
The first week is too long with repetitive materials. The second week is very interesting. However, I wish the course was designed such that it required some coding.
创建者 Hany T•
Aug 27, 2019
Great course, great professor .. the only issue is that I feel sleepy every time I watch the videos :), it's some how single tone. Also the audio could be improved.
创建者 Karthikeyan C (•
Mar 16, 2020
It is always important to learn above the problem-solving methods and tools. This course teaches the complete diagnosis methodologies for Machine Learning problems
创建者 Mehran M•
Jun 25, 2018
Overall, very informative, however I think the content of this course could be divided between the first and the second course.More assignments would've been nice.
创建者 Rajesh S•
Nov 26, 2017
Lots of practical advice and ideas on how to work on actual projects and things to look out for. Great stuff. Wish it had a few programming exercises or a project.
创建者 Ross K•
Aug 30, 2017
Useful introduction to meta-level principles of machine learning process management, but not quite as groundbreaking or well-instructed as the previous two courses
创建者 karthik T S•
Apr 13, 2020
A real time project or programming assignment could improve our confidence level.
All of these courses if it had readable material along with video, it'd be great.
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!
创建者 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.
创建者 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.
创建者 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.
创建者 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
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.