This may seem like a silly question, but as I am going through the documentation for both services it is difficult to disentangle what each does, specifically. From what I've gatheredBlueMix is essentially an all-in-one cloud platform for accessing various IBM Analytics APIs and you can code in various languages, while Data Science Experience is sort of an RStudio on steroids (it even allows you to use RStudio), where I can process massive data sets using IBM's resources instead of my own, but I can also code things in Python if I want.For my needs, I will be using several different types of data, including time-series physiological data and natural language text (sounds like I'll likely need Watson). I would like to be able to use TensorFlow for my work as well.
What are the differences between IBM BlueMix and IBM Data Science Experience?
machine learning;bigdata;time series;tensorflow;data
If you are comfortable with advanced coding and familiar with modeling technics in R and Python, I would recommend to use the datascience experience, since you will do all the coing.But if you want to have ready-to-use models and API's, and wont be bothered to tweak or modify some advanced parameters, Bluemix is a good choice for you :)