Data Science Glossary. Not a bad idea in an area you are new to, or even not that new to, as new ideas arrive. Am about to look at some of the definitions. My criteria have always been: Can a non technical exec understand this? Is it stated well for a particular business context? For a particular enterprise's usage? It is it practically up to date, or does it imply too much capability today?
Glossary run by: Bob DuCharme is the author of O'Reilly's Learning SPARQL and several other books, as well as a solution architect for TopQuadrant, the leading provider of software and solutions for modeling, developing and deploying semantic web applications. Bob's blog. Twitter: @bobdc ... "
Also see: Free data science books. In DSC.
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