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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.
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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 Prithvi M
•Apr 18, 2020
The course was very helpful. But I found some concepts to be repetitive. But it helped me to understand how to tackle the errors.
By Eche I
•Oct 28, 2018
Very good insight on how to approach machine learning projects and the kind of things to look out for and tackle as they appear.
By Hristo B
•Sep 2, 2018
It gives guidance on how not to waste your team's time - quite valuable. There are some slight inclarities in the test questions.
By Elias F
•Dec 24, 2017
This course helped me understand the basic ideas behind deep learning and how to close the understanding of the previous courses.
By Caio B
•Aug 4, 2020
No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though
By Jesse S
•Nov 5, 2017
Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.
By Qian N
•Oct 7, 2017
I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!
By ACECOM I
•Jun 18, 2020
me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial
By Duhai A
•Mar 23, 2020
Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.
By Kailash C
•Mar 15, 2020
More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.
By Jun W
•May 16, 2019
This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.
By Parth P
•May 22, 2019
This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.
By Ganesh M S
•Apr 1, 2018
Learnt a lot about machine learning. One of the finest collection of all the information related to machine learning concepts.
By Enes B
•Jan 4, 2018
The content is great, but the there are some HW questions that should be reviewed and the wording of which should be improved.
By Rex C D
•Oct 30, 2017
I brief look at the project management aspects of deep learning. More flight simulators (case studies) would be very helpful.
By Akash D
•Oct 12, 2017
Simple and yet a great course! Exposes us to a very well explained and justified set of guidelines on how to improve learning.
By Aditya M
•Jun 16, 2020
The videos are fast forwarded which causes problem while understanding difficult portions of the course please slow it down .
By Rashid G
•Apr 16, 2020
A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.
By Vik V
•Jul 23, 2018
Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.
By Matt G
•May 22, 2022
It would take many projects and careful reflection to learn the concepts in this course. It was definitely worth the effort.
By Deleted A
•Jul 11, 2020
This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects
By Thomas A
•May 25, 2020
Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)
By Franz L
•Jun 3, 2020
I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.
By Oliverio J S J
•Jan 28, 2019
It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.
By Gustavo A V
•Mar 31, 2019
The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.