Proposal: Data Science
I would like to know the how is machine learning used in data science. Statistics models are mostly used for smaller data set, e.g., hypothesis testing, confidence interval, etc. These models are broken in the so called big data world. Is statistics still useful? If so, in what way? Also Machine Learning, although being built upon statistical models, can offer predictions or results without going through the process of "human understanding". Does this indicate a bad future?
Anyway, I use Stack Overflow extensively. However, the programming or the computer science forums are very rigorously about the questions. In programming forum, you must ask a technical issue, and in academia forum, you can never ask an implementation problem.
It would be cool if this Data Science forum can provide a small niche space for people to discuss some philosophical problems, instead of focusing rigoriously on "problem solving". Any thoughts?