Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
FAQ for Eric Siegel’s New Book, “The AI Playbook”
  There are plenty of questions to answer about...
Announcing Eric Siegel’s New Book: The AI Playbook
  Dear Reader, I’m excited to announce the forthcoming,...
Predictive Analytics for the Call Center
 So, you just received your shiny new smart watch....
MLW Preview Video: Gulrez Khan, Data Science Lead at PayPal
 In anticipation of his upcoming keynote presentation at Predictive...

data science

Wise Practitioner – Predictive Analytics Interview Series: Craig Soules at Natero

 In anticipation of his upcoming conference presentation, Using Predictive Analytics to Improve Customer Retention, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Craig Soules, CEO & Founder at Natero, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict?

Why You’re Not Getting Value from Your Data Science

 Businesses today are constantly generating enormous amounts of data, but that doesn’t always translate to actionable information. Over the past several years, my research group at MIT and I have sought answers to a fundamental question: What would...

Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall

  In this excerpt from the updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated Edition, I show that, although data science and predictive analytics’ explosive popularity...

Wise Practitioner – Predictive Analytics Interview Series: Ashish Bansal and John Schlerf from Capital One

 In anticipation of their upcoming conference co-presentation, The Quest for Labeled Data:  Integrating Human Steps, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Ashish Bansal, Senior Director, Data Science and John Schlerf, Data Scientist...

Wise Practitioner – Predictive Analytics Interview Series: Kristina Pototska at TriggMine

 In anticipation of her upcoming conference presentation, 7 Examples of Customer Retention with Predictive Email Marketing at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Kristina Pototska, CMO at TriggMine, a few questions about her...

Wise Practitioner – Predictive Analytics Interview Series: Frédérick Guillot at The Co-operators General Insurance Company

 In anticipation of his upcoming conference presentation, Defining Optimal Segmentation Territories – 10 Years of Research at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Frédérick Guillot, Senior Manager, Research and Innovation at The Co-operators...

Managing Shifting Priorities in Exploratory Data Science Projects

 After working with a client’s data for over three weeks with no real progress, you finally hit upon a real breakthrough. You’ve been searching for insights that will help identify which customers are most likely to turn...

Rexer Analytics Data Science Survey – Highlights (New)

  White Paper with 2015 survey results available now. The field of data science has evolved in the past decade at a breathtaking pace. The potential applications and sources for rich datasets have expanded as has the...

Nine Bizarre and Surprising Predictive Insights from Data Science

  Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of...

The Trick to Predictive Analytics: How to Bridge the Quant/Business Culture Gap

  This article is excerpted from Eric Siegel’s foreword to the recently released book, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics, by Jeff Deal and Gerhard Pilcher....

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