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,...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: 

Wise Practitioner – Predictive Workforce Analytics Interview Series: Vishwa Kolla at John Hancock Insurance

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Embedding Advanced Analytics into Acquiring, Nurturing and Retaining Talent, we interviewed Vishwa Kolla, AVP, Head of Advanced Analytics, at John Hancock Insurance. View the Q-and-A below to see...

In Predictive Analytics, Coefficients are Not the Same as Variable Influence, Part II

 In my last post, “Coefficients are not the same as variable influence”, I argued that coefficients in a linear regression model are useful but limited in answering the question, “which variables are most influential in model predictions?”...

Wise Practitioner – Predictive Workforce Analytics Interview Series: John Lee at Equifax Workforce Solutions

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, Using Predictive Analytics to Reduce Unemployment Insurance Costs, we interviewed John Lee, Statistical Consultant at Equifax Workforce Solutions. View the Q-and-A below to see how John Lee has incorporated...

Wise Practitioner – Predictive Analytics Interview Series: Peter Bull at DrivenData

 In anticipation of his upcoming conference presentation, Predicting Restaurant Violations via Yelp Reviews: Crowdsourcing for Social Good, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Peter Bull, Co-founder at DrivenData, a few questions about...

The “Predictive Analytics” FAQ — What’s New in the Updated Edition and Who’s The Book for?

 This is the preface to Eric Siegel’s newly-released Revised and Updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die—available in paperback, e-book, and audiobook. This preface is also available as a...

Wise Practitioner – Predictive Analytics Interview Series: Matt Bentley at CanIRank.com

 In anticipation of his upcoming conference presentation, Predicting Online Marketing Success: Five Lessons Learned at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matt Bentley, Founder of CanIRank.com, a few questions about his work in...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

 In anticipation of their upcoming Predictive Analytics World for Workforce conference co-presentation, Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce, we interviewed Lisa Disselkamp, Director at Deloitte, and Tristan Aubert, Senior Consultant – Advanced Analytics & Modeling at...

The Data Scientist’s Dilemma: Does Skipping Breakfast Kill You?

 Would skipping breakfast kill you? Not necessarily—but confusing correlation and causation might. Find out why in this article, originally published in Quartz and adapted from Eric Siegel’s recently-released Revised and Updated, edition of Predictive Analytics: The Power to Predict Who...

Predictive Analytics Can Help with the Challenges Facing Manufacturing in the 21st Century

 Historically, data and analytics have been key to the success of manufacturing. The biggest contributor to the success of the 100+ year old assembly line technology was the development of interchangeable parts. Clearly, data was central to...

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