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Learn experimental design with our live, real-time ongoing analysis

This permanent experimental design setting allow you to learn, participate or check out the results at any time, as data is gathered and reported in real time. This article illustrates a few concepts:

  • The necessity to work with redundant data
  • The necessity to identify and use the right metrics
  • How to detect anomalies in experimental design settings
  • How to test multiple factors at once
  • What could make this analysis invalid

You can…

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Added by Vincent Granville on March 18, 2014 at 12:00pm — No Comments

Top 10 Business Intelligence Trends for 2014

Tableau webinar, March 25.

Register now.

The innovation in data and analytics continues to…

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Added by Vincent Granville on March 17, 2014 at 9:00am — No Comments

Big Data A to ZZ – A Glossary of my Favorite Data Science Things

Here are some of my favorite things about big data and data science, from A to Z (actually, ZZ):

A – Association rule mining

B – Bayes belief networks

C – Characterization

D –…

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Added by Kirk Borne on March 16, 2014 at 4:00pm — 2 Comments

7 Key Skills of Effective Data Scientists

 

Are you looking for an exciting career opportunity that is just as paying as it is desirable? Harvard Business Review calls Data Scientists are the sexiest jobs of the 21st century. Data Scientist term coined when two people, DJ Patil and Jeff Hammerbacher, were trying to name their data team…

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Added by Mousumi Ghosh on March 14, 2014 at 7:00pm — 11 Comments

Weekly digest - March 17

Featured articles

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Added by Vincent Granville on March 13, 2014 at 5:30pm — No Comments

The best kept secret about linear and logistic regression

Update: The most recent article on this topic can be found here

All the regression theory developed by statisticians over the last 200 years (related to the general linear model) is useless. Regression can be performed as accurately without statistical models, including the computation of confidence intervals (for estimates, predicted values or…

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Added by Vincent Granville on March 13, 2014 at 11:30am — 18 Comments

The Texas Sharpshooter Deception

I received a call from an old client who stated his analytics team had a recent string of failures alarming the firm and costing money. He asked me to review and audit the teams work and analytical processes in attempt to…

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Added by Michael Walker on March 12, 2014 at 9:00pm — No Comments

Two big datasets to challenge your data science expertise

Stack exchange data dump

This is an anonymized dump of all user-contributed content on the Stack Exchange network. Each site is formatted as a separate archive consisting of XML files zipped via 7-zip using bzip2 compression. Each site archive includes Posts, Users, Votes, Comments, PostHistory and PostLinks. For complete schema information, see the included readme.txt.…

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Added by Vincent Granville on March 12, 2014 at 2:30pm — No Comments

17 areas to benefit from big data analytics in next 10 years

Here's my list:

  1. Automated piloting (cars talking to cars) will reduce accidents and optimize your commute. 
  2. Better fraud detection will catch IRS fraudsters and terrorists before they strike. 
  3. Better encryption and monitoring systems will allow the creation of new, private currencies, avoiding the speculation that surrounds Bitcoin. 
  4. Early detection of epidemics thanks to crowdsourcing 
  5. Detection of earthquakes, solar flares - including…
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Added by Vincent Granville on March 12, 2014 at 9:00am — No Comments

With highest penetration of smartphones in the world, big data market to grow in UAE.

According to a report from Ministry of Higher Education and Scientific Research of UAE, polls published for the year 2013 by the American website “Mashable” stated that three out of four people in the United Arab Emirates own a smartphone making the country rank first globally in the use of smartphones. Saudi Arabia has been ranked third while Britain ranked ninth in the world. Surprisingly, with only 56.4% of penetration of the smart…

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Added by IPSITA on March 12, 2014 at 4:21am — No Comments

Oil and Gas Solution built on Data-Tactics’ Big Data Engine

The Big Data Yawn

Over the past couple of months we have met with a number of oil and gas executives to demonstrate our Oil and Gas Solution built on Data-Tactics’ Big Data Engine (BDE). During these conversations it has become obvious that the very mention of "Big Data" produces an involuntary physiological response among business leaders - eye rolls and yawns. It appears that big data has reached the Gartner "trough of disillusionment". These executives have heard from a bewildering…

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Added by Sullexis LLC on March 10, 2014 at 6:00am — No Comments

Three Myths About Today’s In-Memory Databases

In-memory database technology is fashionable in recent years as the price of RAM drops substantially and gigabyte chips become affordable. By taking advantage of the cost-performance value of RAM, leading edge database developers are boosting the performance of next-generation databases with in-memory technology. However, many developers who intend to adopt in-memory technology only think of speed in terms of RAM, and do not exploit the true power of in-memory technology.

The…

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Added by Yuanjen Chen on March 9, 2014 at 10:00pm — 3 Comments

Great example of root cause analysis

This is an area of data science that the public is less familiar with. This example involves small data, simulations, and 18 years old crowdsourcing.

It's an attempt to explain the cause of the TWA Flight 800 that exploded near New York on July 17, 1996. I raised the possibility that a potential cause for the Malaysia Airlines flight that went missing last week, was being hit by a missile (accidental or not). Likewise, many people still believe that TWA 800 was destroyed by a…

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Added by Vincent Granville on March 9, 2014 at 10:30am — No Comments

Data Interaction in Organizational Systems

I have always had a great interest in how businesses organize in order to get things done.  Here I raise some discussion points intended to stimulate debate.

Principle of Systemic Domains 

Not that long ago, I was completing a graduate degree in “critical” disability studies.  The critical part deserves to be in quotations since it is probably subject to interpretation and all sorts of misinterpretation.  I am going to suggest that in critical…

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Added by Don Philip Faithful on March 8, 2014 at 8:15am — No Comments

Big Data Logistics: data transfer using Apache Sqoop from RDBMS

Apache Sqoop is a connectivity tool to perform data transfer between Hadoop and traditional databases (RDBMS) which contains structured data. Using sqoop, one can import data to Hadoop Distributed File System from RDBMS likeOracle, Teradata, MySQL, etc… and also export the data from Hadoop to any RDBMS in form of CSV file or direct export to databases.

There is a possibility of writing mapreduce programs that would use jdbc connectors…

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Added by Pavan Kumar N on March 8, 2014 at 1:12am — No Comments

The multiple facets of data science

Operations research (including Monte Carlo…

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Added by Mirko Krivanek on March 7, 2014 at 10:00am — No Comments

Sometimes outliers are real data

How do you know if an outlier is the result of a data glitch, or a real data point -- indeed maybe not an outlier. Difficult question to answer, but the chart below shows that in some cases, the outlier is not an error.

View image on Twitter

Source: http://www.businessinsider.com/life-expectancy-vs-healthcare-spending-2014-3

In this example, you could argue that we are not…

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Added by Mirko Krivanek on March 6, 2014 at 6:00pm — 18 Comments

The Present and the Future of Big Data and Mobile Technology

As we move to a more…

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Added by Kyle Albert on March 5, 2014 at 10:06pm — 1 Comment

Weekly Digest - March 10

Featured Articles

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Added by Vincent Granville on March 5, 2014 at 3:30pm — No Comments

Is data science dead?

I just came across this blog and thought it was an interesting point. i disagree. but its worth a discussion :)

http://beta.slashdot.org/story/199001

cheers

Added by ed pok on March 5, 2014 at 8:30am — 3 Comments

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