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.
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
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
por CHIRAG J•
It was a good structures machine learning course. It helps us to grab the knowledge.
por 畅 刘•
Interesting lectures, not so difficult but need some knowledge about ANN in advance.
por Shreyas C S•
lot of information. Practical exercise would would helpful to solidify the concepts.
por Shubham S•
Very informative and helpful. But would have loved a bit more assignments/projects.
por Lucas N A•
I liked this course. It has really good tips and the quiz is challenging enough :).
por Prajjwal S•
Very much theoretical, could be more helpful if we can piratically see the changes.
por Cosmin D•
Nice and brief with valuable information about machine learning project management.
por Stanley P•
If you add more assignments not only quiz, that will be very helpful!
Thx to Andrew!
Lack of hands-on exercises. However, it is still very good to learn new knowledge.
por Andrew W•
Very slow, and probably longer than needed to be, plus only quizzes made it boring
por Darkwing D•
Great course not requiring technical background. Great for QA/overseeing projects.
por mahesh p•
Was more verbose and subjective. Would have liked references to more case studies.
por Litvinau A A•
Great, but sometimes there were a problems with the videos (black screen and etc.)
por Andreea T•
Very good tips and tricks, but I would have preferred it to be even more advanced.
Briefly share Andrew's experience for directing what to do next in a ML project.
por Jarno R•
Extremely valuable practical information regarding how to structure ML projects.
por Onkar M•
This is a very interesting course but yes this is totally theoretical in nature.
por Thomas P•
Good high-level course on how to think about projects implementing Deep Learning
por Nicolo d G•
A bit short and light to be a course on its own but still useful in the series.