ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
AM
Nov 22, 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.
By 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.
By Nick S
•Sep 8, 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.
By Kan X
•Feb 18, 2020
I like this specialization in general. However, this third one has too many overlapping contents and some videos are not that useful. Just personal opinion.
By Jkernec
•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.
By 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
By 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.
By Molo M
•May 6, 2022
It is a good course and gives a lot of good advice. However, it would be good if there was a practical project to practice everything that was taught.
By Rishabh G
•May 22, 2020
A different course for only two weeks of content? This is nuts. I waited for 15 days for financial aid to be approved and I completed it within 5 days.
By 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.
By 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
By 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.
By Dany J
•Nov 15, 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.
By John J
•Apr 18, 2021
Appears to be some errors in the section titles (Flight Simulator??). Also, some parts didn't seem to be as polished as the previous two courses.
By Hernan J
•Nov 2, 2020
It's easy and more simple than the others in specialization. Can be more deeper into ML project organization management. It's ok, could be better!
By J B
•Jan 31, 2018
This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.
By ccbttn
•Oct 11, 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.
By 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.
By 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.
By 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.
By Mayur S
•May 25, 2020
The course material can be clubbed with existing courses. It would have been much more meaningful with some examples and hands-on assignments
By 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.
By Daniel S
•Jun 25, 2020
This time it was not that well-structured than the previous courses. I thought we would learn how to structure step by step an ML project.
By José G
•Apr 18, 2020
Lots of information, few knowledge
Change name to "Struc. Deep Learning Projects", all other forms of ML not considered, specially for P2.
By 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.