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

Wise Practitioner – Predictive Analytics Interview Series: John Smits of EMC

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Be a Data Detective

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Predicting Employee Flight Risk: My Take

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The Key to Modelling Success -The Variable Selection Process (Part 1)

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Predictive Analytics World in Color [Infographic]

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Space Alien Eager to Convey Thoughts on Data Science

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Defining Measures of Success for Predictive Models

 Excerpted from Chapters 2 and 9 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) The determination of what is considered a good model depends on the particular interests of the organization and is specified as the...

Overstatement of Results in Predictive Analytics

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The Biggest Lever to Success in Predictive Analytics

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Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Field Cady at Think Big Analytics

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Staying Ahead of Failure: Parametric Data and Analytics in High-Tech Manufacturing, we interviewed Field Cady, Senior Data Scientist at Think Big Analytics. View the Q-and-A below to see how...

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