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