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,...

Eric Siegel

Numbers Game: Will Predictive Analytics Decide September’s Federal Election?

 A week after November’s United States presidential election and Nate Silver was everywhere. Already an established member of the American political commentariat via his blog FiveThirtyEight.com, Silver’s name went into the stratosphere after he correctly predicted the winner of all 50 US States and the District of Colombia in the 2012 race for the White

Dr. Eric Siegel, Executive Editor, Machine Learning Times

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of...

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