The New York Mets and SAS, a leader in business analytics, has announced a partnership that will see the Club use SAS analytics to help analyze fan data at an individual level to engage with them in a meaningful way.
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who seeks a discussion of missing data handling methods such as imputation.
“In-memory data grids offer an important storage alternative that dramatically lowers cost and boosts application performance. The foundation of an IMDG is fast, scalable distributed caching, which keeps rapidly changing data close to where it is needed and quickly accessible.”
An important new research study was recently released that well-serves the needs of the data science professional community – the Burtch Works Study: Data Science Professionals Report. The free report includes a complete overview of the data science profession. [Read More...]
I recently ran across a thought-provoking post on the USC Anneberg Innovation Lab blog – “Why Do We Need Data Science when We’ve Had Statistics for Centuries.” With all the debate of late surrounding the relatively new “data science” term, I’ve been thinking a lot about this question, so I thought I’d analyze this notion here on insideBIGDATA by picking apart the article. I’d love to hear your take on this, so feel free to leave a note. [Read More...]
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