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.
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!).
por Ігор Ф•
Course is time-consuming because it with high concentration with information. Would be maximum useful for those who have some experience in machine learning.
I am very excited! Quizzes are so interesting and close to real life project.
por Brian D•
This course was not what I had thought it would be. It helps to bring back the human dimension into the side of coding. Shines light on the importance of the process, and how decisions will impact the ultimate success of the project.
por mcvean s•
An exceptional course to hone your skills, and develop efficient Machine Learning and Deep Learning systems to better address the problems faced in the real world. The added experiences of Andrew are an asset to the learning journey!
por Abe E•
Really useful quiz questions. I liked this class a lot even though there were no programming exercises. Getting some insights into the facial recognition and image classification stuff before course 4 was also really nice. Thanks! :)
por Eugene L•
Good course with a lot of qualitative information that is quite useful. Giving it a 4 because it would have been great if there were accompanying Jupyter notebooks. It's a solid course overall and I recommend it to anyone interested.
por Prakhar D•
This course is highly intuitive, practical and less mathematically complicated. Prof Andrew Ng uses many examples to elucidate concepts. Post learning one will be capable of choosing which direction to go in solving an ML/DL problem.
por Kadir K•
This was a great lecture from Andrew Ng. I have learned basics of error analysis, multi-task learning and structuring a machine learning project in general. This will be very useful staff for my professional career. Thank you Andrew!
por Carlos Z C•
I consider this course is a truly gem because of the bunch of good practices every person getting into the field should be aware of. I also liked how quizzes were designed to address industry use cases and not just academic details.
por Virginia A•
Excellent point of view. many teach you how to do /write code to apply ML to your problem. in this course I felt they were teaching me how to understand the results and how to improve it. Extremely interesting for potential Managers
por Hugo T K•
This course is exceptional since we can learn a lot with Andrew Yang's great experience with Machine Learning Projects. It'd also like to suggest to add new classes about powerful and newer techniques, such as feature visualization.
por Prashant T•
These are most toughest things, in which people takes 100 of hours to explain and still people confuse. But by doing this course within a 4 hrs span you will have a decent knowledge. Kudos!! to entire team and thanks a lot AndrewNG
por Antonio C D•
This course covers lots of practical advice and techniques resulting from real world project experience by the author. I highly recommend this course to anyone involved in deep learning projects, even if not in a technical position
por Sai K•
this course very important other than previous courses because we need to understand the data and split the data set across the train, dev and test and making strategies for training the dataset using model. Thanks for this course.
por Justin T•
Great course with some awesome insights into structuring the analysis of machine learning models. Definitely picked up a ton of strategies, tips, and tricks that I will be using as a I move forward with my machine learning career!
por dunyu l•
The mindful advice does not only deepen your understanding in deep learning, but also stimulate creative thinking in my own PhD research in a total different field. It is also enjoyable to watch the interviews, which I favor a lot.
Very helpful! The experiences of building deep learning systems might be very difficult to obtain through other classes. When learning from practice, however, the costs are too high. Thus this is a really marvelous course to take.
por Youssef A S•
very good course and I believe this course will save lots of learning and experience years by directly guiding you on how to structure ML projects and show you different ways to solve different kinds of problems that will face you
por Satyam D•
Dear Prof Andrew Ng, grateful to you and your team for yet another excellent course in Deep Learning specialization. ML Strategy teaches us important practical aspects which are absolutely essential for the success of ML projects.
por Julien D•
This course give a substancial idea of how to deal with Machine Learning project.
It is only a two week course with 3-4 hours per weekd but is at the same price as the others.
Though it is still an excellent course that I recommend.
por Farhodbek S•
The basic concepts of structuring machine learning projects help improve our skills. This course really helped me build my project correctly. Extensive information is given in simple language. I recommend this course to everyone.
por Martin S•
Again a very good course by Andrew Ng. Concise, structured, easy to follow. The quizzes are a highlight, as the questions mimic a real project's journey and ask about exemplary situations (instead of just definitions and jargon).
por Girish S•
This course gives insight on how to use deep learning algorithms to use in real world. Quizzes contain really good case studies which are very good. Definitely recommend this course even to one who knows deep learning algorithms.
por AMRICHE A A E•
Excellent course that covers some of the most critical aspects related to machine learning projects. The approach used in the quizzes is very effective. It introduces learners to some common problems under a variety of scenarios.
por pravin j•
This was really interesting but at the same time quite tricky to take any decision after we get the poor results. I think it would be even better if we had also programing exercise where we could for example do transfer learning.
por Farhad A A•
'Structuring Machine learning Projects' is a strategic approach to modeling machine learning algorithm. And this is the course that really teaches how we can apply ML algorithms we learnt to the real world problems "Efficiently".