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.
Dec 1, 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.
By Sudeep K•
Apr 7, 2020
It could be more detailed. More Code intense! However, the course was really informative.
By Abhishek P•
Sep 24, 2019
Initially a bit hard to understand but repeating the session helped to grasp the concepts
By Pedro L A V•
Feb 26, 2018
Good course, but there are too many small topics in each week and no hands-on assignment.
By Blake C•
Sep 20, 2017
Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.
By Bharat M•
Jul 24, 2020
A good theoretical course to help remember the nuances of how to structure a ML project.
By Vikas C•
Jun 20, 2019
It was a nice course, it can better if some demo codes are used as an example separately
By Shuo N•
Jan 3, 2018
Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
By Ridvan S•
Oct 15, 2017
"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
By riad s•
Sep 21, 2017
I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K•
Feb 5, 2020
Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G•
Dec 19, 2019
Interesting course, but all this could have been summarised in the first course itself!
By Hao W•
Jun 16, 2019
This course is not so well organized as the previous two. Everything else is very good!
By donato t•
Jun 15, 2019
Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L•
Sep 16, 2017
It would be even better if there are more quiz and assignments made in ipython notebook
By Takshshila R•
Jul 1, 2020
This gives subtle but important knowledge
about training with different distributions.
By Rohit G•
Mar 26, 2020
The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S•
Feb 29, 2020
Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A•
Nov 16, 2019
Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F•
Jul 25, 2019
Very useful, but some questions were misleading or were not discussed until next week.
Oct 30, 2017
The material is good, but too short. It could have been compressed in another course.
By manpreet s•
Oct 8, 2018
Good module to learn about how to structure the ML project and getting insights of it
By Jean L•
Aug 20, 2018
I thought there would be more about project management specifics of machine learning.
By Lim H•
May 20, 2018
I feel like this course should be the last course in the sequence, not the third one.
By Chris U•
Sep 25, 2017
This class gives an excellent overview of how to optimize a machine learning project.
By Javier L P•
Apr 17, 2020
Missing the notes in between the videos like in the Intro to Machine Learning course