Its very good for quick prototyping. I have used it for experimentation and it speeds up your iterations by a significant amount.

From my blog post [1] - "I explored a whole bunch of options on what platform to use for training ML - Scikit Learn, Tensorflow, AWS Machine Learning and Microsoft Azure. Azure’s ease of use puts it in another league altogether - especially for people who want to just apply existing ML algorithms. Drag and drop, kicking off experiments parallely, easy to construct flows etc. allow you to move really really fast as compared to writing code.

This might become a bottleneck later as we scale or it might become more expensive to run - but the tools they provide save tons of time, especially for prototyping and experimentation. I highly recommend trying out Azure - their free tier gives a good taste of what’s possible on their platform."

[1] http://blog.doctorc.in/post/156115218607/predicting-medical-...