Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Industry News

4 Reasons Why Healthcare Needs Data Science

 The amount of healthcare data continues to mound every second, making it harder and harder to find any form of helpful information. In the healthcare industry, what could be more important than having better healthcare outcomes? Each and every day healthcare workers around the globe are striving hard to find more ways of improving our

Choosing the Right Vendor for your Big Data Needs

 Choosing the right vendor for managing Big Data requires each organization to consider its own needs, including preferences related to data storage, scripting language, and preferred usage tools. USE CODE PATIMES16 for 15% off Predictive Analytics World...

Getting More Value from Data: 6 Facts About Data Science

 The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means...

The Hardest Parts of Data Science

 Contrary to common belief, the hardest part of data science isn’t building an accurate model or obtaining good, clean data. It is much harder to define feasible problems and come up with reasonable ways of measuring solutions....

A Rogue Liberal: Halting NSA Bulk Data Collection Compromises Intelligence

 This Newsweek article, originally published in Newsweek’s opinion section and excerpted here, resulted from the author’s research for a new extended sidebar on the topic that will appear in the forthcoming Revised and Updated, paperback edition of...

3 Big Data Use Cases for Manufacturing Analytics

 We have executed a multitude of data science projects in the manufacturing vertical. While most of them were done without the help of big data tools, we think most of them will require such capabilities as we expand the...

Big data Continues to Transform Healthcare

 Most of us probably remember when a certain big box retailer, thanks to sophisticated data collection and analytics, beat a father to the discovery of his teen daughter’s pregnancy… And those of us who do are likely...

The Big Data Odyssey

 In the world of IT, we seem to fall victim to a new technology “siren’s song” approximately every five years. The most recent of these new irresistible forces is Big Data. While our industry has been talking...

Using Talent Analytics To Increase Your Bottom Line

 From HR to marketing to customer retention, big data gives organizations valuable insights into everyday factors that drive business decisions. That’s one reason, according to IDG’s 2015 Big Data and Analytics Survey, the number of organizations that...

Text Analytics Gurus Debunk Four Big Data Myths

 Could text analytics be the unsung hero of big data? Text analytics mines reams of often ephemeral, unstructured data — from a voice recording of a customer call to emails or a Tweet — for meaningful insights...

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