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!
por Andrew C•
Oct 29, 2017
Interesting content, but lacking in real work. As with all of the deeplearning.ai courses thus far, the multiple choice questions are frequently ambiguous and poorly worded.
por Zsolt K•
Sep 24, 2018
The information is really basic, most of it is self explanatory. This shouldn't be a course on its own, rather maybe a week/half weeks worth of material in another course.
por Sherif A•
Nov 25, 2017
This course is too subjective. Andrew shares his experience in a structured way in the lecture. However, I feel that correct structuring decisions need to be brainstormed.
por Patrick F•
Dec 12, 2019
Seeing different practical use scenarios and adaptions is fine but it got pretty boring without a real application to tune. The Quizzes on the other hand were very good!
por Alberto S•
May 29, 2018
Although everything taught is relevant, it was too much theoretical. And some of the evaluation questions are not clear (well, at least for non native English speakers).
por Davide C•
Nov 26, 2017
The course was interesting, but in my opinion too theoretical. I preferred the first 2 courses with Python programming. I am now looking forward to the next 2 courses.
por Felipe L d S•
Jun 08, 2018
Even though some of the content is useful, I feel like this course should be merged with the second one. There is not new information enough to justify a new course.
por Thomas J•
Jan 24, 2018
Good material was presented in this course but there were a number of technical errors in the video recordings. If they were cleaned up this course would be perfect.
por Jose P•
Sep 30, 2019
Topics are a bit vague, which is fine as the content is interesting and useful nonetheless, but perhaps exposition is too lengthy relative to the amount of content.
por Robbin R•
Feb 17, 2018
Gives good insights on how to work on a Machine Learning project yet. Provides some rule of thumbs for different hick-ups that may be encountered during a project.
por Nick S•
Sep 08, 2017
even though there are great tips and advices, it does not justify an entire course and they can be mentioned in 3 videos so a lot of the videos were repetitive.
Dec 23, 2017
Homework is lacking. It is too easy to pass. I feel like the programming task or homework task fell short. The lectures were good but too little practice.
por Hanbo L•
Sep 22, 2019
Good non-technical materials, but short enough to be incorporated into other courses. Some aspects feel subjective. Many typos/minor mistakes in quizzes
por Vincent P•
Aug 24, 2019
Was really enthousiastic about the first two courses in the specialization, the third however felt a bit like going back a step in level of advancement.
por Leitner C S E S•
Sep 15, 2017
Only interesting if you don't have much experience with machine learning; Might or might not be great if you are a novice, though - hard to say for me.
por Deleted A•
Oct 14, 2017
There was some very valuable material. However, I think some of the videos could have been prepared a little bit better and could do with more editing
por Carsten F•
Jan 30, 2018
Course was less interesting than the other parts. Also very negative that the last part of the 5-part specialization is taking ages to be finalized.
por Dany J•
Nov 16, 2017
Good content, but could definitely benefit from a more fleshed out problem to solve. The content beg for a larger concrete coding exercice project.
por Jordon B•
Feb 01, 2018
This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.
Oct 12, 2017
Quite some questions are confusing and some are not correct itself. and this course is more concept based, didn't actually get to program a lot.
por Giacomo A•
Jan 28, 2018
Contains some useful tips, but they are a bit too diluted - I feel like it could have lasted much less and still conveyed the same information.
por Yancey S•
Sep 25, 2018
This course provides some interesting insights into how to approach machine learning projects, but feels a little light on substance at times.
por Even G•
Oct 20, 2017
Great content. Some strange audio that I think should've been cut (especially in week 2). I suspect the week 2 quiz is a little buggy as well.
por Rindra R•
Oct 11, 2017
Covered important topics and real-world project considerations. However, the content and assignments are too short to make it a full course.
por Eric K•
Jul 21, 2018
Too much similar material to the prior course, and only two simple quizzes, no hands-on programming assignments like in earlier courses.