Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Data Improving Democracy
Data ScienceNewsUncategorized

Gerrymandering in the US is a serious issue. The Washington Post estimates that as a result of gerrymandering, the Democrats under-represented by about 18 seats in the House, relative to their vote share in the 2012 election. Brian Olson, a software engineer from Massachusetts, has devised a programme which works

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Understanding Big Data: The Ecosystem
Data ScienceUnderstanding Big Data

For the uninitiated, the Big Data landscape can be daunting. The vast proliferation of technologies in this competitive market mean there’s no single go-to solution when you begin to build your Big Data architecture. In this series of articles, we will examine the Big Data ecosystem, and the multivarious technologies

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Carla Gendry
Data ScienceData Science 101

This article was first posted by Carla Gentry here. Carla is currently owner and data scientist at Analytical Solution.She has worked in the field of data science for over 15 years, and has worked for Fortune 100 and 500 companies such as Johnson & Johnson, Hershey, Kraft, Kellogg’s and Firestone.

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3 Lessons On The Notability Gender Gap In Freebase
Data Science

Whether you like it or not, the gender gap is still a pressing social issue. We live in an age moving towards gender equality, but where it is still not realised. Many say that need that the need for feminism has passed, and that gender equality is a reality in

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Idtracker: Bringing An End To Safety In Numbers?
Data ScienceNews

It’s a movie trope as old as cinema. A heated chase scene ends as the bad guy seamlessly blends into a crowd, pulling up his collar, safe in a swarm of people. But thanks to researchers at the Spanish National Research Council (CSIC), this scene may have a different ending;

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Top 10 Capabilities For Exploring Complex Relationships In Data For Scientific Discovery
BI & AnalyticsData Science

With all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out

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Klaas Bollhoefer From The Unbelievable Machine Company Talks With Dataconomy
ConversationsData Science

We met up with Klaas Bollhoefer in Berlin. Klaas works as a Data Scientist & Big Data Evangelist with The unbelievable Machine Company GmbH. He is father of the Data Science Day (DSDay), coordinator of the Big Data Week 2013 in Berlin, member of several program committees for Big Data

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Who Will Retweet This? The Science Of Twitter Engagement
BI & AnalyticsData ScienceNews

In this day and age, you’d be hard-pushed to find an industry-leading business whose marketing strategy doesn’t heavily feature social media. Indeed, for businesses of all sizes, Twitter and its kin offer huge opportunities for promotion and increasing brand awareness. Getting people to retweet your site/product opens you up to

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Understanding Big Data: The Seven V'S
BI & AnalyticsData ScienceUnderstanding Big Data

By now, it’s almost impossible to not have heard the term Big Data- a cursory glance at Google Trends will show how the term has exploded over the past few years, and become unavoidably ubiquitous in public consciousness. But what you may have managed to avoid is gaining a thorough

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Chris Pearson Of Big Cloud - Filling The Big Data Recruitment Gap
Data Science

Chris Pearson is a partner at Big Cloud. Big Cloud is a talent search firm focusing on all things Big Data. We talked to him about Big Cloud’s unique position in Big Data recruitment, and what he looks for in a data scientist. Could you tell me a little about yourself

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