A similar question than this one has been asked there: Difference between the Cross Validated and Data Science SE sites?
People, including myself, seems to be confused about the distinction of all these sub-websites.
"Data Science" generally refers to everything that process data and tries to infer or deduce something from it. Machine learning falls under this category, since it process data to train an algorithm and some parameters from the data. Machine Learning is one part of the family "Artificial Intelligence". But according to the description, it also enters in "Cross Validated".
We can easily distinct these sites from stackoverflow, since the questions raised there often requires programming, but that is not the core part of the discussion. But what about these three: Data science, Cross Validated and Artificial Intelligence?
Just to compare, all these websites contains references to RPN (Region Proposal Network), which is a neural network method, meaning an AI/Machine Learning technique.
- How to train the RPN in Faster R CNN?
- How does region proposal network (RPN) and R-CNN works?
- Why does the classifier network in RPN output two scores?
Should we do something about it? I feel that people that could have valuable answer, can't provide them, because they are not in the same community and miss the opportunity...
