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Multicolor 3D scatterplot: traditional data visualization

Traditional data visualization: this is a multicolor scatterplot done at LLNL (Lawrence Livermore National Labs) near Berkeley, CA using the free, open...

Data-driven social media. Some of our IG best moments as video.
Cool data-driven social media video: repurposing best content

We repurposed some of our most popular social media content into cool videos, 3D printed objects, and virtual items. To...

Mathematics describe a traditional heart symbol while death dances in the background as the great ticker ticker unwinds. In this Halloween piece, we look at the predictive analytics surrounding your heart rate which, time after time, memento mori, eventually fades to memories. Are there some simple data science or predictive analytics things we can do to illustrate the underlying the limits on human lifespan? Can we use predictive analytics to figure out what technologies or behaviors might potentially hold the key to greatly extended human longevity? (And is greatly prolonged life even a socially desirable or feasible goal given the resource limits like limits on pension funds? Will the singularity or the super intelligence lead to technology that will make us immortal? And, can predictive analytics be used to predict the heart rate of a vampire?
Data science and limits on human lifespan (or … vampire heart rates)

Article continued from previous page. Now, from a data science or predictive analytics perspective (vampire heart rate predictive analytics), there...

The secret to IBM Watson is the same one discovered a decade ago in statistical inference research: distance metrics & Bayes' rule. Photo: Wikimedia/mattbuck/cc-by-SA-3 #black #office #art #artwork #data #science This photo originally appeared in our Instagram on January 8, 2015, as the final clue in our reader's puzzle on what ostriches had to do with data science. (The clue was Bayes' rule
Ted Talks on IBM Watson & Bayes’ rule in evolution

However, IBM Watson must do a great deal more to win Jeopardy! Finding a close match in Wikipedia between its...

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