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.
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
By Bharat M•
A good theoretical course to help remember the nuances of how to structure a ML project.
By Vikas C•
It was a nice course, it can better if some demo codes are used as an example separately
By Shuo W•
Pro: useful practical suggestions;
Con: language used in quiz should be further polished.
By Ridvan S•
"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
By riad s•
I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K•
Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G•
Interesting course, but all this could have been summarised in the first course itself!
By Hao W•
This course is not so well organized as the previous two. Everything else is very good!
By donato t•
Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L•
It would be even better if there are more quiz and assignments made in ipython notebook
By Takshshila R•
This gives subtle but important knowledge
about training with different distributions.
By Rohit G•
The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S•
Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A•
Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F•
Very useful, but some questions were misleading or were not discussed until next week.
The material is good, but too short. It could have been compressed in another course.
By Manpreet S B•
Good module to learn about how to structure the ML project and getting insights of it
By Jean L•
I thought there would be more about project management specifics of machine learning.
By Lim H•
I feel like this course should be the last course in the sequence, not the third one.
By Chris U•
This class gives an excellent overview of how to optimize a machine learning project.
By Javier L P•
Missing the notes in between the videos like in the Intro to Machine Learning course
By CHIRAG J•
It was a good structures machine learning course. It helps us to grab the knowledge.
By 畅 刘•
Interesting lectures, not so difficult but need some knowledge about ANN in advance.
By Shreyas C S•
lot of information. Practical exercise would would helpful to solidify the concepts.
By Shubham S•
Very informative and helpful. But would have loved a bit more assignments/projects.