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.
Jul 1, 2020
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 Youssef A•
Oct 17, 2020
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
By Satyam D•
Jan 6, 2019
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.
By Julien D•
Sep 9, 2018
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.
By Farhodbek S•
Feb 20, 2021
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.
By Martin S•
Nov 11, 2020
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).
By Girish S•
Jul 27, 2020
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.
By AMRICHE A A E•
Apr 14, 2019
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.
By Pravin J•
Dec 8, 2018
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.
By Farhad A A•
Oct 27, 2018
'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".
By Bonnie M M B•
Mar 12, 2018
Loved the Course, it really Helps a lot for the Projects, You save us lots of time.
I have a question which activation function did I have to use on the final Layer on a Multi-Task problem, Im working in a project with multi-task.
By Derick N T•
Oct 5, 2020
The simulator exercises are particularly interesting, as the introduce learners to making decisions when dealing with machine learning projects. This was the highlight for me, and I believe, it has help me build some intuitions.
By Sushil S•
Nov 17, 2019
Everyone, literally everyone who wants to start doing machine learning projects at the industry level should first go through this course. I think this course will make the life of an fresh machine learning engineer much easier.
By snehil v•
Jun 12, 2018
I have studied Deep learning in detail from free courses but tried this course by Andrew and loved it because it was great for people who are being introduced to deep learning projects.I will recommend this course for beginners.
By Anurag D•
Jun 24, 2021
This course is excellent to get a start of deeplearning.
I really emphasize this.
Dr. Ng is an awesome professor who can simplify abstract and complex concepts to a really linear knowledge flow i.e. removed activation layer hahha
By virat v•
May 28, 2020
This course is really a deep insight of practical application. Completing this course gave some important points ,but they can be truly learned only when we try real world application by our own. Once again thank you Andrew sir
By Sven S•
Jul 25, 2019
Again, the videos were very informative and pleasant to watch, using well established didactic methods. Information given were (as far as I am aware) up to date and pretty good to understand. Thanks for the excellent lectures.
By Abiodun O•
Mar 14, 2018
This course is really short but very packed. Prof. Andrew shared alot of his practical experience in this course. Given the value of Prof. Andrew's years of experience, this course will still be "cheap" even if it costs $ 1000!
By Amit T•
Oct 22, 2020
This course teach you strategy which will help you in solving real time problems and reference have been taken from real problems. it gives you a prospective to weights different option and create your strategies. Good work !!
By Mohamed A A•
Dec 21, 2020
This course containes precious insights regarding right strategies and tactics to use in order to build a sucessful machine learning system. Thank you for the great effort put in preparing this remarkable source of knowledge!
By Jagruti P•
Aug 18, 2020
This course has really taught how to start solving a real-world machine learning problem, what to do incase of facing different kind of issues. Hopefully, I will be able to apply them in designing machine learning algorithms.
By Girish G•
May 3, 2020
This particular course details all the minute aspects needed to have a better model. All the concepts were explained clearly in the course. I felt this course to be a like a "icing on the cake" to basic Neural Network course.
By GUSTAVO E Z•
Mar 6, 2020
Once more Andrew is greaqt teachng and very clear in his explanations. This course let me learn how to improve the development of a Deep learning project aiming at the right parameters and algorithms to be worked on the road.
Aug 31, 2017
Very useful ! It is a common problem of getting lost in ML projects, although the guidance seems abstract at first glance, it proves to be invaluable when ever we are in the midst of struggling for better modeling performance
By Rashmi S•
Jan 24, 2022
An Excellent Course to go with, will let you clear all your basic problems over distributions of Dev/Test sets, will make you understand and learn on avoidable bias inputs and choosing your parameters accordingly. Great one!
By Gudivada R K•
Jun 21, 2020
Much needed course for those who are in their starting/middle stages of DL/ML projects. This course gonna play a vital role in their projects. The explanation from Andrew Ng was interesting with real-time scenarios examples.