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Sports analytics - How Geeks Took Over the NBA - Men's Journal

Sports analytics - How Geeks Took Over the NBA - Men's Journal | Big Data | Scoop.it
Men's Journal How Geeks Took Over the NBA Men's Journal Though sabermetrics (which its inventor, writer and statistician Bill James, defined as "the search for objective knowledge about baseball") and analytics (the use of data to discover patterns...

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Scientists used Facebook for the Largest Ever Study of Language and Personality — and the Results are Groundbreaking

Scientists used Facebook for the Largest Ever Study of Language and Personality — and the Results are Groundbreaking | Big Data | Scoop.it

A group of University of Pennsylvania researchers who analyzed Facebook status updates of 75,000 volunteers have found an entirely different way to analyze human personality, according to a new study published in PLOS One. The volunteers completed a common personality questionnaire through a Facebook application and made their Facebook status updates available so that researchers could find linguistic patterns in their posts. Drawing from more than 700 million words, phrases, and topics, the researchers built computer models that predicted the individuals’ age, gender, and their responses on the personality questionnaires with surprising accuracy.

 


Via Ed Stenson
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Facinating study on analysis of human personality

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The Smart Money Is on Big Data

The Smart Money Is on Big Data | Big Data | Scoop.it
The average U.S. viewer spends about five hours a day watching TV. But the way that viewer watches TV is changing.

 

Connected viewers are now watching more movies and TV shows on their tablets, smartphones and set-top boxes than ever before. Gaming consoles are now entertainment portals, beaming over-the-top video to big-screen TVs.

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The Mathematical Shape of Big Science Data | Simons Foundation

The Mathematical Shape of Big Science Data | Simons Foundation | Big Data | Scoop.it

Simon DeDeo, a research fellow in applied mathematics and complex systems at the Santa Fe Institute, had a problem. He was collaborating on a new project analyzing 300 years’ worth of data from the archives of London’s Old Bailey, the central criminal court of England and Wales. Granted, there was clean data in the usual straightforward Excel spreadsheet format, including such variables as indictment, verdict, and sentence for each case. But there were also full court transcripts, containing some 10 million words recorded during just under 200,000 trials.

 

“How the hell do you analyze that data?” DeDeo wondered. It wasn’t the size of the data set that was daunting; by big data standards, the size was quite manageable. It was the sheer complexity and lack of formal structure that posed a problem. This “big data” looked nothing like the kinds of traditional data sets the former physicist would have encountered earlier in his career, when the research paradigm involved forming a hypothesis, deciding precisely what one wished to measure, then building an apparatus to make that measurement as accurately as possible.

 

“In physics, you typically have one kind of data and you know the system really well,” said DeDeo. “Now we have this new multimodal data [gleaned] from biological systems and human social systems, and the data is gathered before we even have a hypothesis.” The data is there in all its messy, multi-dimensional glory, waiting to be queried, but how does one know which questions to ask when the scientific method has been turned on its head?

 

Click headline to read more--


Via Chuck Sherwood, Senior Associate, TeleDimensions, Inc
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The small-budget path to enjoying big data views - VentureBeat

The small-budget path to enjoying big data views - VentureBeat | Big Data | Scoop.it
The small-budget path to enjoying big data views VentureBeat Startups and emerging businesses — without million-dollar budgets for marketing, market research and analysis … and the fancy software to aggregate it all — can enjoy the rewards of big...

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Cloud Infographic: Evolution Of Big Data - CloudTweaks News

Cloud Infographic: Evolution Of Big Data - CloudTweaks News | Big Data | Scoop.it
Cloud Infographic: Evolution Of Big Data
CloudTweaks News
(Disclaimer: CloudTweaks publishes news and opinion articles from different contributors. All views and opinions in these articles belong entirely to our contributors.

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How data mining helped GM limit a recall to 4 cars - Automotive News

How data mining helped GM limit a recall to 4 cars
Automotive News
The owner of a Chevrolet brings the car to a dealership, saying its brakes have been locking up.
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Today's Data Scientists Are From Venus - Wired

Today's Data Scientists Are From Venus - Wired | Big Data | Scoop.it
Wired
Today's Data Scientists Are From Venus
Wired
To combat the data deluge, companies across all industries and sectors are on a mission to fill the roles that show the most promise for unlocking Big Data's potential – data scientists.
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The three most common ways data junkies are using Hadoop

The three most common ways data junkies are using Hadoop | Big Data | Scoop.it
Hadoop will have a profound impact on the enterprise data landscape. Understanding the common patterns of use, can greatly reduce the complexity.

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Sergeyan's curator insight, December 16, 2013 12:55 AM

Hadoop has the potential to have a profound impact on the enterprise data landscape, and by understanding the common patterns of use, you can greatly reduce the complexity.

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Why Supermarkets are Big Data Superstars

Why Supermarkets are Big Data Superstars | Big Data | Scoop.it

Software can generate raw data analysis. It cannot provide insight -- that takes people. Here's how to translate big data into strong engagement.


Via Ed Stenson
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Well said

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Big Data Spain's comment, October 21, 2013 6:52 AM
BIG DATA SPAIN 2013 is coming! #BDSpain Conference in Madrid (Kinepolis 7 & 8 Nov) Buy your ticket www.bigdataspain.org
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Advice for the Aspiring Data Scientist | SmartData Collective

Advice for the Aspiring Data Scientist | SmartData Collective | Big Data | Scoop.it
It’s been well-documented throughout the blogosphere over the past few weeks, but every time I read it, I’m still a little surprised--more so by the grandiosity of it all, rather than the fact of the matter.
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Data Science – the Key is in the Storytelling

Data Science – the Key is in the Storytelling | Big Data | Scoop.it

I recently found a thought-provoking piece in the Hardvard Business Review Blog Network entitled "Data is Worthless if You Don't Communicate It" by Tom Davenport.


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luiy's curator insight, November 3, 2013 1:38 PM

I recently found a thought-provoking piece in the Harvard Business Review Blog Network entitled “Data is Worthless if You Don’t Communicate It” by Tom Davenport. This article supports what I’ve been harping on in the blogosphere for a long while now – every data set tells a story and it is the job of the data scientist to be its mouthpiece. Gone are the days when you could just print a report with columns of numbers to provide business insight. As the article says:

 

"Too many managers are, with the help of their analyst colleagues, simply compiling vast databases of information that never see the light of day, or that only get disseminated in auto-generated business intelligence reports. As a manager, it’s not your job to crunch the numbers; …  it is your job to communicate them". 

Gabriel Capparelli's curator insight, November 6, 2013 10:18 PM

Be a storyteller ...

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Understanding The Various Sources of Big Data – Infographic

Understanding The Various Sources of Big Data – Infographic | Big Data | Scoop.it
Big data is everywhere and it can help organisations any industry in many different ways.

Via Thomas Faltin
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Machine Learning: Next?

Machine Learning: Next? | Big Data | Scoop.it
Slowly, machine learning has been creeping across the software world, especially in the last 5-10 years. Time was, only huge companies could leverage it, making sense out of data that would be usel...
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How to do data science for some of the biggest clients around - GigaOM

How to do data science for some of the biggest clients around - GigaOM | Big Data | Scoop.it
How to do data science for some of the biggest clients around
GigaOM
Booz Allen Hamilton serves clients in areas such as national security, financial services and life sciences, and data science is an increasingly important part of the job.
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What are the top 10 data mining or machine learning algorithms?

What are the top 10 data mining or machine learning algorithms? | Big Data | Scoop.it
Gregory Piatetsky's answer: Two algorithms need to be added to this list.
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Vijayalakshmi Veeraraghavan's curator insight, November 5, 2013 12:29 PM

Clustering Algortithms Kmeans, association mining - frequent pattern, classification - decision trees, random forest.