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...

Original Content

What We Should Take Home From Predictive Analytics Conferences

Why should one go to a predictive analytics conference? What should one take home from a conference like PAW? There are lots of reasons conferences are valuable including interacting with thought leaders and practitioners during sessions and informal conversations, seeing software and hardware tools (the exhibit hall), and learning principles of predictive analytics in workshops and...

Three Ways to Get Your Predictive Models Deployed

We all know that given reasonable data, a good predictive modeler can build a model that works well and helps make makes better decisions than what is currently used in your organization (at least in our own...

Why Predictive Modelers Should be Suspicious of Statistical Tests

Well, the danger is really not the statistical test per se, it the interpretation of the statistical test...

Inside the Secret World of the Data Crunchers Who Helped Obama Win

In late spring, the backroom number crunchers who powered Barack Obama's campaign to victory noticed that George Clooney had an almost gravitational tug on West Coast females ages 40 to 49. The women were far and...

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