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5 Cool Ways Big Data Is Changing Lives

5 Cool Ways Big Data Is Changing Lives | Big data | Scoop.it
A few weeks ago, I wrote about big opportunities in Little Data. And while my stance on Little Data hasn’t changed, there are also very exciting and very surprising things happening with Big Data right now.
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What Kind Of Data Scientist Are You?

What Kind Of Data Scientist Are You? | Big data | Scoop.it
OReilly just surveyed 250 data scientists about their skills and came up with the four types of data scientistand one shocking outside finding.
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5 Cool Ways Big Data Is Changing Lives

5 Cool Ways Big Data Is Changing Lives | Big data | Scoop.it
A few weeks ago, I wrote about big opportunities in Little Data. And while my stance on Little Data hasn’t changed, there are also very exciting and very surprising things happening with Big Data right now.
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Gapminder: Unveiling the beauty of statistics for a fact based world view.

Gapminder: Unveiling the beauty of statistics for a fact based world view. | Big data | Scoop.it
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The Secret Science Behind Big Data And Word Of Mouth | TechCrunch

The Secret Science Behind Big Data And Word Of Mouth | TechCrunch | Big data | Scoop.it
Editor's note: Jonah Berger is a marketing professor at the Wharton School and author of the New York Times bestseller Contagious: Why Things Catch On...
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Machine Learning and Big Data Are Changing the Face of Biological Sciences

Until recently, the wet lab has been a crucial component of every biologist. Today's advances in the production of massive amounts of data and the creation of machine-learning algorithms for processing that data are changing the face of biological science—making it possible to do real science without a wet lab. David Heckerman shares several examples of how this transformation in the area of genomics is changing the pace of scientific breakthroughs.


Via Szabolcs Kósa, Dr. Stefan Gruenwald
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davidgibson's curator insight, May 28, 2013 8:05 PM

This 36 min video is well worth the time spent - to get an idea (hopefully a transferrable one) about Big Data and the frontiers of science. In this case both "wet lab" (test tubes microscopes) and "dry lab" (computer modeling with machine learning) and needed and so is content as well as computational literacy.

Serena Fuchs's curator insight, June 26, 2013 12:43 PM

The low-hanging fruit, SNPs, have been picked off.  Now much research is using larger data sets to look for significant variants, and the compute power needed can increase exponentially. Look to dog breeders as the pioneers of controlling for known variables to reduce the false positive results. 

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Real-time Learning: The Quick Without the Dirty

Real-time Learning: The Quick Without the Dirty | Big data | Scoop.it

Last week at Berlin Buzzwords 2013, MapR’s Ted Dunning showed how to do this with both metrics and with many forms of machine learning in his fourth #bbuzz talk titled “Real-time Learning for Fun and Profit,” presented to a packed room.

 

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davidgibson's curator insight, June 27, 2013 7:20 PM

Great piece about the link from "now" to "various windows of "then" in data stream mining.

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A Very Short History Of Data Science

A Very Short History Of Data Science | Big data | Scoop.it
The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science.  The term “Data Science” has emerged only recently to specifically designate a new profession...
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Big Data news

Big Data news | Big data | Scoop.it
Big Data news, by Do IT with data: updated automatically with a curated selection of articles, blog posts, videos and photos. (Big Data news is out!
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How Lumosity's Big Data is changing scientific inquiry - PandoDaily (blog)

How Lumosity's Big Data is changing scientific inquiry - PandoDaily (blog) | Big data | Scoop.it
How Lumosity's Big Data is changing scientific inquiry PandoDaily (blog) In an article for Associate for Psychological Research's Observer, Professor Rich Ivry looks at the new studies using Big Data as “shifts in the knowledge domains that inform...
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Is your big data worth the effort? — Tech News and Analysis - GigaOM

Is your big data worth the effort? — Tech News and Analysis - GigaOM | Big data | Scoop.it
You've just invested in a massive infrastructure to store your data and mine it for information. But is that information valuable enough to justify the expense?
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Election 2016: How Big Data + Social Data Will Determine the Next President | AllThingsD.com

Election 2016: How Big Data + Social Data Will Determine the Next President | AllThingsD.com | Big data | Scoop.it

The presidential election means big business for the ad industry, with a whopping $6 billion spent on 2012 election ads last year across all media according to the Center for Responsive Politics. Last year’s election broke records, both at the poll and in the boardroom, with recent figures confirming the 2012 election as the most expensive in history, about $700 million over the next most expensive election.

 

As our nation ramps up for 2016, the role of big data + social data in influencing election decisions cannot be ignored. Social data drove the 2008 presidential elections and big data drove the 2012 election. In 2016 it will be the marriage of the two that will determine the next President of the United States.

 

Back in 2008, online social impact was still in its infancy and while people flocked to social channels like Facebook and Twitter to share their thoughts and influence others, there was not yet a way to measure impact beyond overall sentiment.

 

Social media was akin to guerrilla marketing, and yet these tools were extremely influential in giving people a voice in the policies being discussed that swayed the outcome of the election. People wanted change and were not afraid to share their opinions in public conversations, and the global discussion encouraged others to step into the polling booth to cast their ballots.

 

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Via Chuck Sherwood, Senior Associate, TeleDimensions, Inc
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