Data Science External Teams
Data Science
February 13, 2017

Data Science External Teams – Bound to Succeed

All organizations, no matter how large, have limited resources. All successful companies and teams, no…
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sciences industry
Data Science
January 23, 2017

The Changing Landscape of the Life Sciences Industry

What is the future of the global sciences industry today as it faces the changing…
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analytics
Data Science
November 14, 2016

A Data Quality Maturity Model: 5 Levels of Data Readiness for Analytics

A key requirement of producing data that is ready for analysis is that the data…
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Data OpsData Science
September 6, 2016

How XPatterns Saves More Than 4,000 Hours In 
Data Preparation Each Month

Data scientists and the teams they serve can easily spend 50 percent to 80 percent…
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Big DataData Science
August 8, 2016

Datasets VS Algorithms – A Breakthrough in AI 6x Faster

The past years have witnessed strong emergence for different datasets and algorithms repositories. Some inquiries…
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IPython notebook
Data Science
June 13, 2016

Analyzing a Large-Scale Healthcare Providers Data Set using GraphLab Create

The IPython notebook shared in this post was built by Mark Pinches, a data scientist with…
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