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Political Campaign Data Science

Yesterday, there was a meetup in Arlington on Political Campaign Data Science with a panel of four experts to talk about their work. As we have all heard, the 2012 Presidential election was steeped in data like never before, with the Obama campaign in particular using advanced analytical methods to target voters, and with Nate Silver and other polling aggregators providing fascinating insights into the dynamics of the campaign. Sasha Issenberg,…

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Added by Janet Dobbins on December 19, 2012 at 10:51am — 1 Comment

Structured vs. Unstructured Data: The Rise of Data Anarchy

Data science and business analytics works with both structured and unstructured data. Yet the future belongs to unstructured or semi-structured data from both internal and external sources.

Total Enterprise Data Growth 2005-2015…

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Added by Michael Walker on December 19, 2012 at 9:30am — No Comments

Data Science Central Weekly Digest - Dec 14

Featured Discussions

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Added by Vincent Granville on December 13, 2012 at 6:30pm — No Comments

Bigger Than Big Data? Mobile User Expectations

How big data is shaping mobile user expectations

 

By Jeff Hasen

Hipcricket Chief Marketing Officer, Thought Leader (ART+DATA) Institute and author of Mobilized Marketing: Driving Sales, Engagement, and Loyalty Through Mobile…

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Added by Zach Piester on December 13, 2012 at 7:30am — No Comments

Data Science for Better Business Decisions Formula

 

After designing and building a modern data warehouse / business intelligence / data analytical ecosystem, many clients are frustrated they are unable to extract valuable, actionable insights from…
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Added by Michael Walker on December 12, 2012 at 2:30pm — No Comments

Seek the grail up the Knowledge Pyramid, not down

In following the big data 'buzz' and trends, it appears that there is a disconnect between our analytical goals (i.e., the types of questions our customers are trying to answer) and the computational substrate on which we build in order to answer them.

NoSQL technologies, while being far more scaleable than relational databases, are fundamentally a 'data level'…

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Added by John Fairweather on December 10, 2012 at 10:42am — No Comments

The Big Data Analytics Landscape

As a technologist and evangelist working in the big data marketplace it is certainly exciting. I am excited by the new products we are bringing to market and how this new functionality really helps to bridge the gap for Enterprises adoption. It is also surreal, in terms of the number of blog posts, tweets on Big Data and there seems to be a new big data conference cropping up on a weekly basis across Europe :-)



It is interesting to monitor other vendors in the…

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Added by Donal Daly on December 10, 2012 at 7:31am — No Comments

8 TESTS TO DECODE BUSINESS ACCUMEN OF A DATA SCIENTIST

A data scientist at Flutura has to wear multiple hats in order to deliver next generation analytical solutions in the sectors we operate in namely energy, telecom, digital and health care industry. In order to do that he/she has to wear 3 hats

-         The BUSINESS  hat

-         The MATH hat

-         The DATA hat

Most of the time it’s easy to fathom the depth of the data scientists math / algorithmic knowledge and the depth of…

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Added by derick.jose on December 8, 2012 at 9:41pm — No Comments

Three Stages of Analytics Adoption

 

An article from MIT entitled "Big Data, Analytics and…

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Added by Michael Walker on December 5, 2012 at 9:00am — No Comments

Splunk & 451Research on big data best practices

Hear from Splunk and 451Research on big data best practices and three "real world" case studies of Splunk customers handling the variety and velocity of their ever increasing unstructured data.

Watch now to see examples of big data in action from companies such as CenturyLink, Intuit and Groupon. They are turning massive…

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Added by Vincent Granville on December 4, 2012 at 12:00pm — 1 Comment

What Big Data means at LinkedIn?

LinkedIn was founded in 2003, is currently revenue 243 million and employs 1797 people. This is not what we call a large company. However, LinkedIn has 175 million members in 200 countries including 50% outside the U.S., two new members join the network every second, and analysts said that all "executive" of the Global 500 are members. Under these conditions, LinkedIn is facing a high volume of data to process. Indeed their information system must support 2 billion a year of research carried…

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Added by Michel Bruley on December 3, 2012 at 3:16am — No Comments

Introduction to the K-Nearest Neighbor (KNN) algorithm

In pattern recognition, the K-Nearest Neighbor algorithm (KNN) is a method for classifying objects based on the closest training examples in the feature space.  KNN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification.  The KNN algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned…
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Added by Venky Rao on December 1, 2012 at 7:18am — No Comments

Data Science Central Weekly Digest - November 30

This newsletter contains three sections: announcements from sponsors (at the top), featured contributions from the Data Science Central community, and valuable resources for big data, data science and analytic practitioners (at the bottom).

Sponsored Listings…

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Added by Vincent Granville on November 30, 2012 at 8:30am — No Comments

Data scientists making $300,000 a year | Wall Street Journal.

Without having anyone working (reporting to) them, according to the Wall Street Journal.

My opinion:

  1. Highly paid data scientists having nobody reporting to them? Indeed they have robots (computer programs working…
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Added by Vincent Granville on November 29, 2012 at 4:30pm — 3 Comments

Do You Really Need a Data Scientist?

Live Simulcast Panel Discussion on Dec. 12.

Everybody has an opinion on Santa Claus. There are tons of books, recipes, decorations and family traditions dedicated to his arrival for a successful Holiday season. But how about Data Scientists? Is this new position…
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Added by Vincent Granville on November 29, 2012 at 10:30am — No Comments

Develop analytical skills to unleash the power of Big Data

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Added by Vincent Granville on November 29, 2012 at 8:00am — No Comments

Data Veracity

 

Data Veracity, uncertain or imprecise data, is often overlooked yet may be as important as the 3 V's of Big Data: Volume, Velocity and…

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Added by Michael Walker on November 28, 2012 at 3:00pm — No Comments

Unstructured content processing with MarkLogic and Tableau

Join Fernando, Chief Technologist, Enterprise, for MarkLogic in a discussion on how to combine the power of Tableau™ against a NoSQL Database that is able to perform analytics against disparate data sets composed of structured, unstructured and graph data. The result is an unprecedented level of flexibility and power from being able to correlate and analyze “Big Ugly Data” in its natural form. The use case will…
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Added by Vincent Granville on November 28, 2012 at 10:30am — No Comments

Is the Data Scientist Really a New Concept?

Along with several others, Harvard Business Review has recently pointed out an area with significant job growth which is appropriate for individuals with a curious nature and an expertise in business analytics. But who will dominate this area? The Data Scientist- trending as “the sexist job” in America, this role has a desirability that calls upon…

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Added by Ben Gold on November 28, 2012 at 6:36am — No Comments

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