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!
교육 기관: Gregory H I•
Nov 11, 2017
Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
교육 기관: Siddhant R•
Jan 23, 2019
the quiz answers need to be rectified or the mentors have to explain why the correct answers are correct
교육 기관: Brandon K•
Nov 17, 2017
This course delivered some good information, but it was short and didn't have any programming exercises.
교육 기관: An X•
Sep 06, 2019
lots useful industrial level skills, however there are too much repeated content in the course i feels
교육 기관: Francesco N•
Jan 27, 2018
A little bit annoying. However, it is very useful for learning how to approach to real-world problems
교육 기관: Xingyu Y•
Aug 28, 2017
This part is very conceptual and I can't tell if they are helpful or not without actually using them.
교육 기관: Lucas G•
Aug 23, 2017
Great course! Would have loved some programming assignments, but the flight simulator was useful too.
교육 기관: Emmanouil K•
Dec 31, 2018
Don't get me wrong: this course is full of insights, but I think it could use a little more flesh...
교육 기관: 侯宇翔•
Dec 14, 2018
Nice work but i think we need more guidelines of how to finish a successful machine learning project
교육 기관: Bishwarup B•
Jun 05, 2018
The case study two - the quiz scoring in my opinion is not setup properly. For example question 13.
교육 기관: RIPUNJOY G•
Oct 11, 2017
Good course. Don't know what, but expected more. Wish that next courses will give that opportunity.
교육 기관: Константин•
Jun 09, 2018
This course compare to other was a bit boring to my opinion. But the whole specialization is great
교육 기관: Mohamed B•
Aug 25, 2017
Gets repetitive at some parts, but otherwise very useful insights into best practices in the field
교육 기관: Eric L•
Dec 03, 2018
Very nice course but a bit more subjective than the 2 previous especially about human performance
교육 기관: Priyansh J•
Nov 28, 2019
Great teacher and great content. thought content could have been more! but overaal it was great.
교육 기관: Stefan L•
Feb 20, 2019
It's nice to get some insight into projects. It would be great to have even bigger case studies.
교육 기관: Vaibhav J•
May 19, 2018
It would be a better course if you give more problem assignments. Rest everything was very good.
교육 기관: yassine a•
Jan 21, 2018
The videos are so long, there is a lot of repetition. it would be better to do it in three weeks
교육 기관: 鞅骠豪•
Jan 14, 2018
교육 기관: Anton O•
Mar 07, 2018
A lot of useful information, but perhaps some areas should have been explored in greater depth.
교육 기관: Timothy D•
Oct 13, 2017
This course was a lot more interesting then I thought it would be. Very useful knowledge here.
교육 기관: Jochen I•
Mar 01, 2018
Still fun but much less practice (no programming assignments) makes it a little less thorough.
교육 기관: Nick R•
Jan 07, 2018
Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.
교육 기관: Bobby•
Oct 24, 2017
Lecture was good but no programming assignment for this course. I took out one star for this.
교육 기관: Ramachandran C•
Oct 12, 2019
Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.