Machine Learning Times
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Predictive Analytics

Your Boss May be Spying on You (and you might welcome it)

 Largely unnoticed by their targets, the human resources departments of large corporations are beginning to gather spy-agency-quality intelligence on their current and future employees. The hottest topic in human resources is “predictive analytics,” synthesizing a worker’s traits and behaviors to estimate how he or she will perform in the future. No one knows exactly where unleashing

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...

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...

Wise Practitioner – Predictive Analytics Interview Series: Nate Watson at Contemporary Analysis

 In anticipation of his upcoming conference presentation, Predictive Sales Targeting in the Energy Industry, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Nate Watson, President at Contemporary Analysis, a few questions about his work...

Predictive Analytics Book Excerpt: Hands-On Guide—Resources for Further Learning

 Here is the Hands-On Guide that appears at the end the newly-released, Revised and Updated paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Although the book Predictive...

Data Intelligence: Predictive Vs. Reactionary

 “Never confuse education with intelligence.” – Author unknown Also, never confuse big data with business intelligence; it is only when big data and business intelligence are well and truly integrated in a single process that you get...

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