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

The Three-Legged Stool of an Analytics Project

 Perhaps you have heard rumors going around that analytics is marching into the “trough of disillusionment”? 1 Or pundits who say that analytics may fail to provide results? 2 One reason those claims have a grain of truth is that people have failed to even allow their projects to succeed. What does an analytics project

Defining Measures of Success for Predictive Models

 Excerpted from Chapter 2 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 The determination of what is considered a good model depends on the particular interests of the organization and is specified as the business success...

Effective Framing of Predictive Analytic Projects

 For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. One of the most important steps in a predictive...

Wise Practitioner – Predictive Analytics Interview Series: Richard Boire of Boire Filler Group

 In anticipation of his upcoming conference presentation, Predicting Extreme Behavior to improve the rating structure for Travel Insurance, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Richard Boire, Founding Partner of Boire Filler...

Wise Practitioner – Predictive Analytics Interview Series: Sarah Holder of Duke Energy

 In anticipation of her upcoming conference presentation, It’s Not a Black Box! Explaining Predictive Models to the Masses, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Sarah Holder, Senior Market Research Analyst at...

Infographic – Predictive Analytics World by the Numbers

 Predictive Analytics World continues to grow by popular demand. Beginning with the launch of the first PAW conference held in San Francisco in 2009, through the 30 conferences held around the world to date, over 10,000 alumni...

Wise Practitioner – Predictive Analytics Interview Series: Mohamad Khatib of Nielsen

 In anticipation of his upcoming conference presentation, Pizza Analytics & Optimization, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Mohamad Khatib, Sr. Project Manager at Nielsen, a few questions about his work in...

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...

It is a Mistake to…. Answer Every Inquiry

 (Part 9 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) I’m tempted to start with a kind of query that experience teaches some of us...

Wise Practitioner – Predictive Analytics Interview Series: Dominic Fortin of TD Insurance

 In anticipation of his upcoming conference presentation, A Success Story: Sales and Revenue Forecasting through Predictive Analytics, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dominic Fortin of TD Insurance a few questions...

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