Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistricting occurs every two years in response to changes in population distribution and density. The term itself arose in 1820 in Massachusetts as the…
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Data Science Central Weekly Digest, 28 Dec 2020… |
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Data Science Central Weekly Digest, 28 Dec 2020… |
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Data Science Central Weekly Digest, 14 Dec… |
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Augmented Reality is beginning to push the paradigms of previous expectations as the ability to recognize cards by appearance and orientation opens up the possibility of a new kind of gaming. The use of "magical" proxies to position 3D animations coupled with autonomous agent awareness opens up the possibility of card games with armies attacking…
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Network graphs play a large part in both computing and data science, and they are essential for working with (and visualizing) both semantic graphs and property graphs. Nearly thirty years ago, AT&T produced a set of libraries called graphviz which were designed to generate various types of printed output. Over the years, the library has been adapted for different platforms and roles, and today is still one of the most widely used network graph visualization tools around.
One of…
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Data Science Central Weekly Digest, 23 Nov… |
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Over the years, I've had people ask me how a taxonomy differs from an ontology. The answer (or at least a reasonably simple answer) is that "a taxonomy is a tree shaped ontology".
It is worth digging bit deeper to understand what that means, however:
Way back in the early 18th century, a Swedish biologist by the name of Carl Linnaeus…
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From The Editor's Desk
This version of the DSC Weekly Digest is running a bit late, in part because the editor (me), as a data junkie, has been a bit preoccupied watching the always engaging and occasionally horrifying sport known as the US Election. This is when all of us become data scientists - running the numbers, building models to see what happens if candidate A wins this state or fails to win that one, causing cascading Bayesian effects percolating through the ECNN - the…
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As the recent rise in Covid-19 threatens once again to shutter advertising agencies, film studios, and similar media "factories" globally, a quiet, desperate shift is taking place in the creation of new media, brought about by increasingly sophisticated AI capabilities. A new spate of actors and models are making their way to people's screens, such as…
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