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.
many useful instructions about machine learning steps
por Glen P•
Very useful information that is not widely available.
por Jack B•
enjoyed the simulators that used real world examples.
por Yash A•
Very crisp and systematic concepts.Hats off M.Ng Sir!
por Dave P•
Very much enjoying each aspect of this specialization
por Goh Z Y•
Very practical knowledge gain on handling AI projects
por Lyle T•
Excellent practical insights for real-world scenarios
por Shaoduo X•
Nice starter for understanding some "macro" concepts.
por Liekens W•
Nice overview on how to ML projects can be structered
por Samuel E•
Some useful insights collected together in one place!
por ZEEN L•
Very helpful, especially for those who just graduated
por Camilo C V•
very useful to better plan machine learning problems
por Rekha R•
Very good for Analyzing and Structuring ML projects.
por prarabdh r 1•
nice experience sharing.. helped a lot in my project
por Atin B•
Great course. It helped me a lot, Thank you Coursera
por ding x•
Thanks very much, Iam happy to learn helpful skills.
por Kees v d T•
Very usefull for stucuring machine learning projects
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por Tamas K•
Great material, for me it was too verbose in places.
por PK M•
Great insights on real-life problems faces with NNs.
por Andrei V•
Great way to get a glimpse of a researcher's work :)
por Mirzodaler M•
Very interesting, useful and helpful course. Thanks!
por afshin m•
Excellent information, most useful during a project.
por Manuel Q•
Brilliant course as all Andrew NG courses use to be.