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!
创建者 Michael L•
May 02, 2018
No programming assignments or labs, so too much theory, and too little chance to put same into practice. Not a good value for my money.
创建者 Max S•
Dec 13, 2017
Still good but getting much sloppier. Bad editing of the videos, some exercises plain wrong and staff not reacting to forum posts, etc.
创建者 Lars L•
Dec 30, 2017
Course materials need some cleanup. Were a number of audio blips, in the video. Material was good but just didn't seem as polished.
创建者 Taavi K•
Nov 30, 2017
Too short on its own (took half a day to go through the whole thing), could have been combined with Course 2 of the specialization.
创建者 sai r t•
Aug 06, 2018
this session was good it would be more better if they provided the code of them..so that we could be abke to learn more from them
创建者 Dennis G•
Nov 24, 2017
Felt a bit rushed, each video was full of good tips but personally I think each video should have been a jupyternotebook instead.
创建者 Massimo A•
Nov 18, 2017
More theoretical than the other courses in the specialisation but still very high quality.
Short but with a lot of information.
创建者 David P•
Oct 17, 2017
Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...
创建者 Oliver O•
Oct 16, 2017
Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.
创建者 Shuai W•
Sep 19, 2017
The content of this course is a bit too little for me.
However, it provides useful guidance for my projects. Much appreciated!
创建者 Gary S•
Sep 16, 2017
Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.
创建者 Pejman M•
Oct 21, 2017
Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.
创建者 Mustafa H•
Jul 17, 2018
This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series
创建者 Ahmed A•
Jul 10, 2018
course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.
创建者 Kevin Q•
Mar 19, 2018
lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses
创建者 Arghya R•
Sep 19, 2017
Could have more case studies and above all. Also programing assignments on self driving car could have been better
创建者 Janet C•
Jun 29, 2019
Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.
Feb 28, 2018
To much talk but understandable. Need something like programming examples with different data distributions.
创建者 Rob W•
May 12, 2018
Seemed to be information that could have been included in another course rather than its own 2 week course.
创建者 Idan P•
May 28, 2018
Lectures can be summed up by: "use common sense".
Quiz can be summed up by "to pass, use OUR common sense".
创建者 Abd-Elrahman B•
Dec 21, 2017
The quiz questions are quite confusing and some of them are not consistent with the content of the videos.
创建者 Rishabh B•
Jan 03, 2020
Slightly repetitive from previous courses. Could have been integrated with the future or previous course.
创建者 Tim U•
Jan 12, 2020
More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.
创建者 Iam P d S•
Mar 15, 2018
This course was shorter and didn't have any programming assignments. Could've been part of course 2.
Mar 07, 2019
Unfortunately, it did not match with my expectations, too much theory and no programming exercises.