22 de nov de 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.
1 de dez de 2020
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
por Davide C•
26 de nov de 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•
7 de jun de 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•
24 de jan de 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•
30 de set de 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•
17 de fev de 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•
8 de set de 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.
por Kan X•
18 de fev de 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.
23 de dez de 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•
22 de set de 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•
24 de ago de 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 Molo M•
6 de mai de 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.
por Rishabh G•
22 de mai de 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.
por Leitner C S E S•
15 de set de 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•
14 de out de 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•
30 de jan de 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•
15 de nov de 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 John J•
18 de abr de 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.
por Hernan J•
2 de nov de 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!
por Jordon B•
31 de jan de 2018
This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.
12 de out de 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•
28 de jan de 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•
25 de set de 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•
20 de out de 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 Mayur S•
25 de mai de 2020
The course material can be clubbed with existing courses. It would have been much more meaningful with some examples and hands-on assignments
por Rindra R•
11 de out de 2017
Covered important topics and real-world project considerations. However, the content and assignments are too short to make it a full course.