Proposal: Data Science
The data science looks like an overarching umbrella proposal for stackexchange that covers too wide an array of specific fields:
- Natural Language Processing
- Big data
- Information Retrieval
- Database handling
- Machine Learning
- Distributed Computing / High Performance Computing
It sounds like a good idea to group all these up into one pipeline but considering the intricate features of each of the fields it cover, it seems unlikely to get enough expertise on answering the questions. Moreover each of the fields that "Data Science" covers includes specific subfields that varies vastly.
I can see that different from CrossValidate (https://stats.stackexchange.com/), this proposal looks more at the technology of data processing rather than the math of data processing. But is there a necessity to alienate technological difficulties in data processing from CrossValidate?
Then again, stackoverflow seems to function very well with different people coding in different languages and also in different domain and the thing that links everyone together is "computing". Using the same ideology, linking all the fields together just because it's about "data" processing is similar in the train of thoughts.
So the ultimate question:
Data Science proposal, an over-ambitious proposal?
or a brilliant attempt like stackoverflow is to "computing", data_science is to "data processing"?