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.
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.
By Maria R•
Very easy to understand, ilustrative examples
By Chang X•
thanks Andrew for the great course materials!
By Heidy E M N•
UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.
By mayukh m•
great case study approach to machine learning
By Christian D C H•
Excellent practical advise by Prof. Andrew Ng
By Almir I•
It's a great but short (2 weeks only) course!
By Qasid S•
I haven't seen this type of guide on any Mooc
By Manuel F•
Very valuable and practical insights. Thanks!
By Wadikur R•
This course so essential and I learned a lot.
Great course content, could be longer though.
By Alice G•
Very good lesson on more strategic approaches
By Kishan B S•
Very pragmatic course for all data scientists
By Phailendra D•
Very good course on structuring the projects.
By Jiaming H•
Great Course. Better if have coding exercise.
By Aravinda G•
Amazing course! Thank you very much Coursera!
By Julio N•
now, i have more general knowledge about this
By Cristian R M•
Unique gold course for real projects in ML/DL
By Fabian S•
very useful, recommend to every practitioner!
By Wei X•
important practical knowledge for application
Many helpful experience. It really helped me.
By C R S•
Good course, to take up serious project in DL
By Howell Z•
Great course to get a lot of practical ideas!
By Keith B•
helpful perspectives when tackling a project!
By Hemant B•
very small course , some really good insights
By Liang-Yao W•
Very useful guide / strategy for ML projects