Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Original Content

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

 Here is the Hands-On Guide that appears at the end the 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 Analytics covers conceptual knowledge required for those interested in becoming a hands-on user, it is not a “how-to.” The

Wise Practitioner – Predictive Analytics Interview Series: Hans Wolters at Microsoft

 In anticipation of his upcoming conference presentation, Predicting User and Device Upgrade Issues Moving to Windows as a Service, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Hans Wolters, Principal Data Scientist, Windows and...

Machine Learning: Not Necessarily a New Phenomenon in Predictive Analytics

 One of the more recent topics gaining traction in Big Data Analytics is the notion of machine learning. Many people think that this is a recent development or phenomenon occurring as a result of newer Big Data...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Frank Fiorille at Paychex, Inc.

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Balancing Privacy with Powerful Employee Churn Predictions, we interviewed Frank Fiorille, Senior Director of Risk Management at Paychex, Inc. View the Q-and-A below to see how Frank Fiorille has...

Netflix, Dark Knowledge, and Why Simpler Can Be Better

 Weary from an all-night coding effort, and rushed by the looming 6:42PM deadline, Lester Mackey searched franticly for the proper prediction file to submit. Lester was a member of “The Ensemble”—a large coalition of data scientists who...

The Case Against Quick Wins in Predictive Analytics Projects

 When beginning a new predictive analytics project, the client often mentions the importance of a “quick win”. It makes sense to think about delivering fast results, in a limited area, that excites important stakeholders and gains support...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Jason Noriega at Chevron

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, Open Sourced Workforce Analytics: An Overview of 3 Algorithms for Common Predictive Modeling Situations, we interviewed Jason Noriega, Diversity Analytics Team Lead at Chevron. View the Q-and-A below to...

Wise Practitioner – Predictive Analytics Interview Series: Matthew Pietrzykowski at General Electric

 In anticipation of his upcoming conference co- presentation, Advanced Analytics and the Corporate Audit Function at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matthew Pietrzykowski, Senior Data Scientist at General Electric, a few questions about...

B2B Predictive Analytics: An Untapped Sector

 Much work in predictive analytics and data science has been primarily focused around the business to consumer sector (B2C). Certainly predictive analytics solutions have been applied to the B2B sector but it pales in comparison to what...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Greg Tanaka at Percolata

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Big Data Driven Labor Scheduling, we interviewed Greg Tanaka, CEO at Percolata. View the Q-and-A below to see how Greg Tanaka has incorporated predictive analytics into the workforce...

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