Machine Learning Times
Machine Learning Times
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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...
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9 years ago
A Critical Step Toward Organizational Data Maturity: Thinking in Terms of Distributions!

 For more from the Josh Hemann, see his presentation on Cheating Detection in Call of Duty at Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco. I have done analytics work in scientific, engineering and business settings and learned that each has its own culture and set of expectations around the communication of data. The first setting I worked in was scientific and the hallmark of good presentation was having clean visualizations with just enough annotation and figure captions to allow the graphics to stand relatively alone. The ethos was to “let the

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