Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Industry News

Did Target Really Predict a Teen’s Pregnancy? The Inside Story

 We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics. “How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did” was an explosive headline in a Forbes article by Kashmir Hill

It’s Already Time to Kill the “Data Scientist” Title

 What does it mean today to say your are—or want to be, or want to hire—a “data scientist?” Not much, unfortunately. The job title has almost as much ambiguity as the term “Big Data.” If you really...

As talent war intensifies, recruiters turn to analytics

 Baseball scouts used to scour the back roads of America in search of the next Mickey Mantle or Warren Spahn. Today, team front offices rely on reams of statistics and psychological profiles that help predict not only...

Q&A with Data and Analytics Expert Dean Abbott

 Data scientist Dean Abbott has been focusing on data mining and predictive analytics for more than 25 years, and has authored and co-authored several books including “Applied Predictive Analytics,” “IBM SPSS Modeler Cookbook” and contributed a biographical...

Big Data With a Personal Touch: The Convergence of Predictive Analytics and Positive Deviance

 Background Over the last few years, the triple aim has taken center stage in health care. Through more effective identification of individuals at higher risk, health care systems can become more strategic about resource allocation in order...

Social Security to step up fraud detection with predictive analytics

 Two major fraud incidents in the past year have spurred the Social Security Administration to step up its fraud detection and prevention efforts through the use of better analytics. The result is a  fraud prevention unit dedicated...

Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science

 We analyze Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. Overall activity drops about 25%, but membership growth accelerates in Q4 2013. We identify 4 group quadrants and find which groups are...

The Well-Rounded Data Scientist

  The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new,...

Five Ways Companies Can Compete Using Big Data and Analytics

 Big data is just that–big–and it’s getting bigger. According to the research firm IDC, the worldwide big data technology and services market will grow at a 27 percent compounded annual rate, to exceed $32 billion by 2017....

Will the rise of self-service BI tools lead to the demise of the data scientist?

 Is this the beginning of the end for the vaunted data scientist? That’s the clever pitch from Tableau Software, one of a handful of business intelligence vendors pushing the envelope on self-service BI tools. Because the software’s...

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