As all data scientists should know, sample size often dictates the value of prediction when using the linear model. Otherwise the age old maxim applies: “Lies, damn lies and statistics!” — Mark Twain
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Industry Perspectives
Three Steps to Data Protection – And How They Differ for Structured vs Unstructured Data
In this special guest feature, Scott Lucas, Head of Marketing at Concentric, suggests that compliance is a complex topic, and in this article he addresses the surface of what you’ll need for your particular data and regulatory environment. Having a clear understanding of how to discover, assess and protect structured and unstructured data, and their differences, gives you the foundation you need for an effective and manageable program to protect the PII you manage.
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Interview: Global Technology Leader PNY
The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.
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